Treatment Episode Data Set -- Discharges (TEDS-D), …samhda.s3-us-gov-west-1.amazonaws.com/s3fs-public/field...This codebook is for the Treatment Episode Data Set Discharges (TEDS-D)

Treatment Episode Data Set --Discharges (TEDS-D), 2007

United States Department of Health andHuman Services. Substance Abuse andMental Health Services Administration.Office of Applied Studies

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TREATMENT EPISODE DATA SET – DISCHARGES CODEBOOK, 2007 Introduction This codebook is for the Treatment Episode Data Set – Discharges (TEDS-D) for discharges from substance abuse treatment occurring in 2007. TEDS-D provides information on treatment completion, length of stay in treatment, and demographic and substance abuse characteristics of approximately 1.5 million discharges from alcohol or drug treatment in facilities that report to individual state administrative data systems. The TEDS system is comprised of two major components, the Admissions Data Set and the Discharges Data Set. The TEDS-Admissions (TEDS-A) file is an established program; data were first reported for TEDS-A in 1992. The TEDS-D is more recently begun, with the first data reported in 2000. TEDS includes treatment data that are routinely collected by states to monitor their individual substance abuse treatment systems. Selected data items from the individual state data files are converted to a standardized format that is consistent across states. These standardized data constitute TEDS. The TEDS-A is comprised of a Minimum Data Set collected by all states, and a Supplemental Data Set collected by some states. The Minimum Data Set consists of 19 items that include:

• Demographic information; • Primary, secondary, and tertiary substances and their route of administration, frequency

of use, and age at first use; • Source of referral to treatment; • Number of prior treatment episodes; and • Service type, including planned use of medication-assisted (i.e., with methadone or

buprenorphine) opioid therapy. The 15 Supplemental Data Set items include psychiatric, social, and economic measures. Variables included in the discharge record include the same variables as the admissions data. Additionally, TEDS-D includes the following:

• Type of service at discharge; • Length of stay; and • Reason for discharge or discontinuation of service.

A full list of the variables can be viewed in the Variable Information and Frequency section of this codebook.

This codebook provides background and descriptive information for the TEDS-D public-use files, limitations of the data, and frequencies. References detailing the data collected in each state with the TEDS data elements, including state-by-state descriptions of exceptions or anomalies in

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reporting practices, are available. Users may refer to the TEDS Crosswalks available from SAMHSA. The crosswalks are frequently updated as new information becomes available. Since 1992, the Office of Applied Studies (OAS) of the Substance Abuse and Mental Health Services Administration (SAMHSA), U.S. Department of Health and Human Services (DHHS) has funded and been responsible for TEDS. It coordinates and manages the collection of TEDS data from the states. In 2010, the OAS was renamed to the Center for Behavioral Health Statistics and Quality (CBHSQ). The unit of analysis is treatment admissions to state-licensed or certified substance abuse treatment centers that receive federal public funding. Descriptive and analytical reports from TEDS are developed to provide national and state-level data on the number and types of clients treated and the characteristics of facilities providing services. Data Collection The Treatment Episode Data Set State Instruction Manual - Discharge Data is available from the SAMHSA Web site and provides complete instructions on how the TEDS-D data are processed and submitted by the states. Confidentiality Protection Several measures were taken to protect the confidentiality of the TEDS-D records. Variables that potentially identify an individual in their raw form underwent routine top- or bottom-coding in order to prevent high and low codes from distinguishing a respondent’s record. For example, AGE as a continuous variable has the potential to identify both the youngest and oldest participants in a public release file. Hence, AGE was recoded into 11 categories for the public-use file to reduce disclosure risk. The lowest category for age combines the ages of 12-14. Similarly, ages of 55 and older were top-coded. All the variables recoded are documented in Appendix B. Disclosure analysis is used to identify records that remained unique after routine measures were taken to protect confidentiality. Disclosure analysis is used to discern combinations of indirect identifiers that potentially link an individual to a record. Particular attention was given to the analytic importance of geographic data and of subgroup populations. Consequently, data swapping was applied to the TEDS in order to satisfy stringent confidentiality standards while preserving the analytic value of the public-use file. The original location of a record in TEDS-D cannot be known for certain due to the use of data swapping. This method has several benefits over other disclosure protection options: (1) the overall impact to the data is typically small; (2) nearly all of the data are left intact; (3) data for special populations (e.g., minorities, pregnant women) are no more impacted than other data; (4) the procedures typically do not affect any analytic uses of the file; and (5) the procedures allow greater detail to remain on the public use file (e.g., the original ethnicity codes).

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http://wwwdasis.samhsa.gov/dasis2/crosswalks.htm

http://wwwdasis.samhsa.gov/dasis2/manuals/teds_manual.pdf

Universe The universe for TEDS-D is discharges in calendar year 2007 that were received and processed through October 10, 2011. These discharges were linked to either new admissions or transfers to treatment in another service type. Coverage The TEDS attempts to include all admissions to providers receiving public funding. Because each state or jurisdiction decides the TEDS eligibility of a provider, there is no independent check on the actual sources of funding. Although SAMHSA requests submission of TEDS data on all admissions to any publicly-funded treatment facility, reporting in some state agencies is structured so that only clients treated with public funds are included in the TEDS. The number of clients in these facilities whose treatment is not publicly-funded is unknown.1 Data Limitations The TEDS, while comprising a significant proportion of all admissions to substance abuse treatment, does not include all such admissions. The TEDS is a compilation of facility data from state administrative systems. The scope of facilities included in the TEDS is affected by differences in state licensure, certification, accreditation, and disbursement of public funds. For example, some state substance abuse agencies regulate private facilities and individual practitioners, while others do not. In some states, hospital-based substance abuse treatment facilities are not licensed through the state substance abuse agency. Some state substance abuse agencies track treatment in correctional facilities (state prisons and local jails), while others do not. In general, facilities reporting TEDS data receive state alcohol and/or drug agency funds (including Federal Block Grant funds) for the provision of alcohol and/or drug treatment services. Most states are able to report all admissions to all eligible facilities, although some report only admissions financed by public funds. States may report data from facilities that do not receive public funds, but generally do not because of the difficulty in obtaining data from these facilities. The TEDS generally does not include data on facilities operated by Federal agencies, including the Bureau of Prisons, the Department of Defense, and the Department of Veterans Affairs. However, some facilities operated by the Indian Health Service are included. The primary goal of TEDS is to monitor the characteristics of treatment episodes for substance abusers. Implicit in the concept of treatment is a planned, continuing treatment regimen. Thus the TEDS does not include early intervention programs; these are considered to be prevention

1 Substance Abuse and Mental Health Services Administration, Office of Applied Studies. Treatment Episode Data Set (TEDS): 1992-1997. National Admissions to Substance Abuse Treatment Services. DASIS Series: S-7, DHHS Publication No. (SMA) 99-3324, Rockville, MD, 1999, 115.

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programs. Crisis intervention facilities such as sobering-up stations and hospital emergency departments are not included in the TEDS. The TEDS is a large and powerful data set. Like all data sets, however, care must be taken that interpretation does not extend beyond the limitations of the data. Limitations fall into two broad categories: those related to the scope of the data collection system, and those related to the difficulties of aggregating data from highly diverse state data collection systems.2 Limitations to be kept in mind while analyzing TEDS data include:

• The TEDS is an admission-based system, and therefore TEDS admissions and discharges do not represent individuals. For example, an individual admitted to and discharged from treatment twice within a calendar year would be counted as two admissions and two discharges.

• The data presented in this report provide information on treatment in specific service types, derived from linked pairs of admission/discharge records. The data do not necessarily represent complete treatment episodes, which may include stays in multiple types of service and would require analysis of series of linked pairs of records.

• The primary, secondary, and tertiary substances of abuse reported to the TEDS are those substances that led to the treatment episode, and not necessarily a complete enumeration of all drugs used at the time of admission.

• The way an admission is defined may vary from state to state such that the absolute number of admissions is not a valid measure for comparing states.

• States continually review the quality of their data processing. As systematic errors are identified, revisions may be enacted in historical TEDS data files. While this system improves the data set over time, reported historical statistics may change slightly from year to year.

• States vary in the extent to which coercion plays a role in referral to treatment. This

variation derives from criminal justice practices and differing concentrations of abuser subpopulations.

• Public funding constraints may direct states to selectively target special populations, for example, pregnant women or adolescents.

2 Substance Abuse and Mental Health Services Administration, Office of Applied Studies. Treatment Episode Data Set (TEDS): 2005. Discharges from Substance Abuse Treatment Services. DASIS Series: S-41, DHHS Publication No. (SMA) 08-4312, Rockville, MD, 1999, 6.

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• Some states have no Opioid Treatment Programs (OTPs) that provide medication-assisted therapy using methadone and/or buprenorphine. See the TEDS state-by-state crosswalk for information regarding data collected by each state.

Created Variables The TEDS files contain several variables created from the original variables submitted by the states. For example, a variable was created to indicate whether each drug was included as a primary, secondary, or tertiary drug of abuse. These are called flag variables and labeled according to the drug, such as alcflg for alcohol flag variable, cokeflg for cocaine flag, etc. A variable that facilitates comparison of each state to all other states is included in the Survey Documentation and Analysis (SDA) online data analysis files for TEDS. These created variables are referred to as geographic state indicator variables and labeled according to state name such as AKSTATE for Alaska and ALSTATE for Alabama. These variables are useful for examining characteristics of treatment in one state compared to the rest of the nation. The state indicator variables are not included in the downloadable data files for TEDS because they approximately double the size of the files, which are large at the outset due to the number of TEDS records. Therefore, sample SPSS programming syntax is provided below in order to create and append the state indicator variable to downloaded files: Contents of Public-Use Files The TEDS public-use file contains discharge data for 44 states plus Puerto Rico. The following states did not report usable data for the year 2007: Alabama, Georgia, Mississippi, New Mexico, Pennsylvania, and West Virginia. The District of Columbia did not report usable data for 2007 either. The TEDS Discharge public-use files are provided in ASCII rectangular format with SAS, SPSS and Stata data definition statements. SAS Transport (CPORT), SPSS System, Stata System, and ASCII Tab-delimited files are also available. Supplemental files containing optional commands

* Compute TEDS state indicator for Alaska (STFIPS=2). do if (STFIPS eq 2). compute AKSTATE=1. else. compute AKSTATE=2. end if. variable labels AKSTATE "ALASKA STATE INDICATOR". value labels AKSTATE 1 "ALASKA" 2 "ALL OTHER STATES". format AKSTATE (f1.0).

are available for the SAS Transport and Stata System files. A separate codebook is provided for each year’s data file. The number of observations and variables for 2007 are as follows: Filename: da27301-0001.txt Number of observations: 1,607,375 Number of variables: 64 Records per case: 1 Logical record length: 125 User Responsibility Users are reminded that the data are to be used solely for statistical analysis and reporting of aggregated information and not for investigation or identification of specific individuals or organizations. Publications Substance Abuse and Mental Health Services Administration, Office of Applied Studies. Treatment Episode Data Set (TEDS): 2007. Discharges from Substance Abuse Treatment Services. DASIS Series: S-51. DHHS Publication No. (SMA) 10-4479. Rockville MD, 2010.

The Center for Behavioral Health Statistics and Quality has other published TEDS reports on the SAMHSA Web site.

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http://wwwdasis.samhsa.gov/teds07/teds2k7dweb.pdf

http://www.samhsa.gov/data/DASIS.aspx#TEDS

http://www.oas.samhsa.gov/dasis.htm

Treatment Episode Data Set -- Discharges (TEDS-D), 2007

Variable Description and Frequencies

Note: Frequencies displayed for the variables are not weighted.They are purely descriptive andmay not be representative of thestudy population. Please review any sampling or weightinginformation available with the study.

Summary statistics (minimum, maximum, mean, median, andstandard deviation) may not be available for every variable inthe codebook. Conversely, a listing of frequencies in table formatmay not be present for every variable in the codebook either.However, all variables in the dataset are present and displaysufficient information about each variable. These decisions aremade intentionally and are at the discretion of the archiveproducing this codebook.

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Treatment Episode Data Set -- Discharges (TEDS-D), 2007

Variable Groups

Variable Groups Containing Variables

PageVariable Group LabelVariable Group Name

8IDENTIFICATIONIDENTIFICATION

8CLIENT CHARACTERISTICSCLIENTCHARACTERISTICS

9GEOGRAPHICGEOGRAPHIC

9TREATMENT SERVICE CHARACTERISTICSTREATMENTSERVICECHARACTERISTICS

9REFERRAL SOURCESREFERRALSOURCES

9PRIOR SUBSTANCE ABUSE TREATMENTPRIOR SUBSTANCEABUSETREATMENT

9SUBSTANCES OF ABUSE: ORIGINAL VARIABLESSUBSTANCES OFABUSE: ORIGINALVARIABLES

10SUBSTANCES OF ABUSE: CREATED VARIABLESSUBSTANCES OFABUSE: CREATEDVARIABLES

10MENTAL HEALTHMENTAL HEALTH

10INSURANCE/PAYMENTINSURANCE/PAYMENT

IDENTIFICATIONIDENTIFICATION

Variables within this Variable Group

PageVariable LabelVariable

11CASE IDENTIFICATION NUMBERCASEID

11YEAR OF DISCHARGEDISYR

CLIENT CHARACTERISTICSCLIENT CHARACTERISTICS



11AGE (RECODED)AGE

12SEXGENDER

12RACERACE

13ETHNICITY (HISPANIC ORIGIN)ETHNIC

14MARITAL STATUSMARSTAT

15EDUCATIONEDUC

15EMPLOYMENT STATUSEMPLOY

16DETAILED 'NOT IN LABOR FORCE' CATEGORYDETNLF

16PREGNANT AT TIME OF ADMISSIONPREG

17VETERAN STATUSVET

17LIVING ARRANGEMENTSLIVARAG

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18SOURCE OF INCOME/SUPPORTPRIMINC

GEOGRAPHICGEOGRAPHIC



18CENSUS STATE FIPS CODESTFIPS

19FIPS 2000 CBSA CODECBSA

27FIPS 1990 MSA CODEPMSA

34CENSUS REGIONREGION

34CENSUS DIVISIONDIVISION

TREATMENT SERVICE CHARACTERISTICSTREATMENT SERVICECHARACTERISTICS



36SERVICE SETTING AT DISCHARGESERVSETD

37MEDICATION-ASSISTED OPIOID THERAPYMETHUSE

37DAYS WAITING TO ENTER TREATMENTDAYWAIT

38REASON FOR DISCHARGEREASON

39LENGTH OF STAYLOS

REFERRAL SOURCESREFERRAL SOURCES



40PRINCIPAL SOURCE OF REFERRALPSOURCE

42DETAILED CRIMINAL JUSTICE REFERRALDETCRIM

PRIOR SUBSTANCE ABUSE TREATMENTPRIOR SUBSTANCE ABUSETREATMENT



42NUMBER OF PRIOR TREATMENT EPISODESNOPRIOR

SUBSTANCES OF ABUSE: ORIGINAL VARIABLESSUBSTANCES OF ABUSE:ORIGINAL VARIABLES



43SUBSTANCE PROBLEM CODE (PRIMARY)SUB1

45USUAL ROUTE OF ADMINISTRATION (PRIMARY)ROUTE1

45FREQUENCY OF USE (PRIMARY)FREQ1

46AGE AT FIRST USE (PRIMARY)FRSTUSE1

46SUBSTANCE PROBLEM CODE (SECONDARY)SUB2

48USUAL ROUTE OF ADMINISTRATION (SECONDARY)ROUTE2

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48FREQUENCY OF USE (SECONDARY)FREQ2

49AGE AT FIRST USE (SECONDARY)FRSTUSE2

49SUBSTANCE PROBLEM CODE (TERTIARY)SUB3

51USUAL ROUTE OF ADMINISTRATION (TERTIARY)ROUTE3

51FREQUENCY OF USE (TERTIARY)FREQ3

52AGE AT FIRST USE (TERTIARY)FRSTUSE3

SUBSTANCES OF ABUSE: CREATED VARIABLESSUBSTANCES OF ABUSE:CREATED VARIABLES



52NUMBER OF SUBSTANCES REPORTED AT ADM.NUMSUBS

53CURRENT IV DRUG USE REPORTED AT ADM.IDU

53ALCOHOL REPORTED AT ADM.ALCFLG

53COCAINE/CRACK REPORTED AT ADM.COKEFLG

53MARIJUANA/HASHISH REPORTED AT ADM.MARFLG

54HEROIN REPORTED AT ADM.HERFLG

54NON-RX METHADONE REPORTED AT ADM.METHFLG

54OTHER OPIATES/SYNTHETICS REPORTED AT ADM.OPSYNFLG

54PCP REPORTED AT ADM.PCPFLG

55OTHER HALLUCINOGENS REPORTED AT ADM.HALLFLG

55METHAMPHETAMINE REPORTED AT ADM.MTHAMFLG

55OTHER AMPHETAMINES REPORTED AT ADM.AMPHFLG

55OTHER STIMULANTS REPORTED AT ADM.STIMFLG

56BENZODIAZEPINES REPORTED AT ADM.BENZFLG

56OTHER NON-BENZODIAZEPINE TRANQUILIZERS REPORTEDAT ADM.

TRNQFLG

56BARBITURATES REPORTED AT ADM.BARBFLG

56OTHER NON-BARBITURATE SEDATIVES/HYPNOTICSREPORTED AT ADM.

SEDHPFLG

57INHALANTS REPORTED AT ADM.INHFLG

57OVER-THE-COUNTER MEDICATION REPORTED AT ADM.OTCFLG

57OTHER DRUG REPORTED AT ADM.OTHERFLG

57SUBSTANCE ABUSE TYPEALCDRUG

MENTAL HEALTHMENTAL HEALTH



58DSM DIAGNOSISDSMCRIT

59PSYCHIATRIC PROBLEM IN ADDITION TO ALCOHOL/DRUGPROBLEM

PSYPROB

INSURANCE/PAYMENTINSURANCE/PAYMENT

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59HEALTH INSURANCEHLTHINS

59EXPECTED/ACTUAL PRIMARY SOURCE OF PAYMENTPRIMPAY

CASE IDENTIFICATION NUMBERCASEID

1-8 (width: 8; decimal: 0)Location:

numericVariable Type:

Based upon 1607375 valid cases out of 1607375 total cases.

YEAR OF DISCHARGEDISYR



-9Range of Missing Values (M):

Year of client's discharge from substance abuse treatment.Question:

Valid %%UnweightedFrequency

LabelValue

100.0%100.0 %1607375-2007


AGE (RECODED)AGE



Calculated from date of birth and date of admission andQuestion:

categorized.

Note: Records of clients aged 11 years old and younger orare unknown are no longer included in TEDS.


LabelValue

1.2%1.2 %1849612-142

6.3%6.3 %10098715-173

6.3%6.3 %10109618-204

11.3%11.3 %18213021-245

14.1%14.1 %22625625-296

11.1%11.1 %17897730-347

12.8%12.8 %20530435-398

13.8%13.8 %22207640-449

11.7%11.7 %18829145-4910

6.7%6.7 %10830250-5411

4.7%4.7 %7546055 AND OVER12


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SEXGENDER




Identifies client's gender.Question:


LabelValue

67.8%67.7 %1088920MALE1

32.2%32.2 %518121FEMALE2

-0.0 %334MISSING/UNKNOWN/NOTCOLLECTED/INVALID-9 (M)


RACERACE




Specifies the client's race:Question:

- ALASKA NATIVE (ALEUT, ESKIMO, INDIAN): Origins in any ofthe original people of Alaska.

- AMERICAN INDIAN (OTHER THAN ALASKA NATIVE): Origins inany of the original people of North America and SouthAmerica (including Central America) and who maintaincultural identification through tribal affiliation orcommunity attachment.

- ASIAN OR PACIFIC ISLANDER: Origins in any of the originalpeople of the Far East, the Indian subcontinent, SoutheastAsia, or the Pacific Islands.

- BLACK OR AFRICAN AMERICAN: Origins in any of the blackracial groups of Africa.

- WHITE: Origins in any of the original people of Europe,North Africa, or the Middle East.

- ASIAN: Origins in any of the original people of the FarEast, the Indian subcontinent, or Southeast Asia, includingfor example, Cambodia, China, India, Japan, Korea, Malaysia,Philippine Islands, Thailand, and Vietnam.

- OTHER SINGLE RACE: Use this category for instancesin which the client is not classified in any categoryabove or whose origin group, because of area custom,is regarded as a racial class distinct from the abovecategories. (Do not use this category for clientsindicating multiple races.)

- TWO OR MORE RACES: Use this code when the State data system

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allows multiple race selection and more than one race isindicated.

- NATIVE HAWAIIAN OR OTHER PACIFIC ISLANDER: Origins in anyof the original peoples of Hawaii, Guam, Samoa, or otherPacific Islands.

Guidelines: If the State does not distinguish between AmericanIndian and Alaska Native, code both as 02, American Indian.States that can separate "Asian" and "Native Hawaiian or OtherPacific Islander" should use codes 13 and 23 for thosecategories. States that cannot make the separation should usethe combined code 03 until the separation becomes possible.Once a state begins using codes 13 and 23, code 03 should nolonger be used by that state. States are asked to convert tothe new categories when possible.


LabelValue

0.2%0.2 %2472ALASKA NATIVE (ALEUT, ESKIMO, INDIAN)1

2.5%2.5 %39453AMERICAN INDIAN (OTHER THAN ALASKANATIVE)

2

0.1%0.1 %1993ASIAN OR PACIFIC ISLANDER3

21.9%21.7 %348060BLACK OR AFRICAN AMERICAN4

63.2%62.5 %1004607WHITE5

0.6%0.6 %10098ASIAN13

10.3%10.2 %163880OTHER SINGLE RACE20

0.8%0.8 %12444TWO OR MORE RACES21

0.5%0.5 %7421NATIVE HAWAIIAN OR OTHER PACIFICISLANDER

23



ETHNICITY (HISPANIC ORIGIN)ETHNIC




Specifies client's specific Hispanic origin, if applicable.Question:

- PUERTO RICAN: Of Puerto Rican origin, regardless of race.

- MEXICAN: Of Mexican origin, regardless of race.

- CUBAN: Of Cuban origin, regardless of race.

- OTHER SPECIFIC HISPANIC: Of known Central or South Americanor any other Spanish cultural origin (including Spain),other than Puerto Rican, Mexican, or Cuban, regardless ofrace.

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- NOT OF HISPANIC ORIGIN:

- HISPANIC, SPECIFIC ORIGIN NOT SPECIFIED: Of Hispanic origin,but specific origin not known or not specified.

Guidelines: If a state does not collect specific Hispanicdetail, code ethnicity for Hispanics as 06, "Hispanic,specific origin not specified."


LabelValue

4.0%3.9 %62998PUERTO RICAN1

6.4%6.4 %102178MEXICAN2

0.2%0.2 %3762CUBAN3

2.7%2.7 %43213OTHER SPECIFIC HISPANIC4

85.4%84.5 %1358366NOT OF HISPANIC ORIGIN5

1.3%1.3 %20950HISPANIC, SPECIFIC ORIGIN NOT SPECIFIED6



MARITAL STATUSMARSTAT




Describes the client's marital status. The followingQuestion:

categories are compatible with the U.S. Census.

- NEVER MARRIED: Includes clients whose only marriage wasannulled.

- NOW MARRIED: Includes those living together as married.

- SEPARATED: Includes those separated legally or otherwiseabsent from spouse because of marital discord.

- DIVORCED, WIDOWED


LabelValue

59.9%44.8 %719542NEVER MARRIED1

16.2%12.1 %194776NOW MARRIED2

5.9%4.4 %71297SEPARATED3

18.0%13.5 %216292DIVORCED, WIDOWED4



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EDUCATIONEDUC




Specifies the highest school grade (number of school years)Question:

completed by the client.

Guidelines: States that use specific categories for designatingeducation level should map their categories to a logical "numberof years of school completed." The mapping should be recorded inthe State Crosswalk. For example, a state category of "AssociateDegree" should be mapped to 14; "Bachelor Degree" would be mappedto 16, etc.


LabelValue

8.6%8.5 %1362038 YEARS OR LESS1

28.8%28.3 %4541249-112

40.8%40.0 %643510123

17.0%16.7 %26891613-154

4.8%4.7 %7515116 OR MORE5



EMPLOYMENT STATUSEMPLOY




Designates the client's employment status at the time ofQuestion:

admission or transfer:

- FULL TIME: Working 35 hours or more each week; includingactive duty members of the uniformed services.

- PART TIME: Working fewer than 35 hours each week.

- UNEMPLOYED: Looking for work during the past 30 days oron layoff from a job.

- NOT IN LABOR FORCE: Not looking for work during the past30 days or a student, homemaker, disabled, retired, oran inmate of an institution. Clients in this categoryare further defined in the Supplemental Data Set item"Detailed Not in Labor Force" (DETNLF).

Guidelines: Seasonal workers are coded in this category basedon their employment status at time of admission. For example,if they are employed full time at the time of admission, they

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are coded as 01. If they are not in labor force at time ofadmission, they are coded 04.


LabelValue

20.0%19.6 %314969FULL TIME1

7.2%7.1 %114113PART TIME2

31.4%30.7 %494175UNEMPLOYED3

41.4%40.6 %652206NOT IN LABOR FORCE4



DETAILED 'NOT IN LABOR FORCE' CATEGORYDETNLF




This field gives more detailed information about those clients who are coded as "not in the laborforce" in the Minimum Data Set field for "Employment Status" (EMPLOY).

Question:


LabelValue

2.7%0.9 %13730HOMEMAKER1

15.1%4.8 %76766STUDENT2

17.9%5.7 %91015RETIRED, DISABLED3

5.7%1.8 %29005INMATE OF INSTITUTION5

58.6%18.5 %297868OTHER6



PREGNANT AT TIME OF ADMISSIONPREG




Specifies whether the client was pregnant at the time ofQuestion:

admission.

Guidelines: All male respondents were recoded to missingfor this variable due to the item being not applicable.


LabelValue

4.2%1.3 %20779YES1

95.8%29.2 %468749NO2


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- 16 -


VETERAN STATUSVET




Specifies whether the client has served in the uniformedQuestion:

services (Army, Navy, Air Force, Marines, Coast Guard, PublicHealth Service Commissioned Corps, Coast and Geodetic Survey,etc).

Guidelines: A veteran is a person 16 years or over who hasserved (even for a short time), but is not now serving, onactive duty in the US Army, Navy, Marine Corps, Coast Guard,or Commissioned Corps of the US Public Health Service orNational Oceanic and Atmospheric Administration, or whoserved as a Merchant Marine seaman during World War II.Persons who served in the National Guard or MilitaryReserves are classified as veterans only if they were evercalled or ordered to active duty, not counting the 4-6months for initial training or yearly summer camps.


LabelValue

4.4%3.7 %59783YES1

95.6%80.3 %1291297NO2



LIVING ARRANGEMENTSLIVARAG




Specifies whether the client is homeless, living with parents,Question:

living in a supervised setting, or living independently on hisor her own.

- HOMELESS: Clients with no fixed address; includes shelters.

- DEPENDENT LIVING: Clients living in a supervised settingsuch as a residential institution, halfway house or grouphome, and children (under age 18) living with parents,relatives, or guardians or in foster care.

- INDEPENDENT LIVING: Clients living alone or with otherswithout supervision. Includes adult children (age 18 orover) living with parents.

- 27301 -

- 17 -


LabelValue

14.5%14.1 %226977HOMELESS1

23.0%22.3 %358620DEPENDENT LIVING2

62.5%60.8 %976597INDEPENDENT LIVING3



SOURCE OF INCOME/SUPPORTPRIMINC




Identifies the client's principal source of financial support. For children under 18, this field indicatesthe parent's primary source of income/support.

Question:


LabelValue

32.6%19.4 %311961WAGES/SALARY1

7.4%4.4 %70585PUBLIC ASSISTANCE2

5.1%3.0 %48446RETIREMENT/PENSION, DISABILITY3

22.0%13.1 %210807OTHER20

33.0%19.7 %316204NONE21



CENSUS STATE FIPS CODESTFIPS




State FIPS codes consistent with those used by the U.S. Bureau of the Census.Question:


LabelValue

0.1%0.1 %2212ALASKA2

1.1%1.1 %18204ARIZONA4

1.0%1.0 %15543ARKANSAS5

12.5%12.5 %200662CALIFORNIA6

3.4%3.4 %55255COLORADO8

2.1%2.1 %34268CONNECTICUT9

0.5%0.5 %7319DELAWARE10

2.2%2.2 %36071FLORIDA12

0.5%0.5 %7812HAWAII15

0.2%0.2 %3466IDAHO16

4.8%4.8 %77474ILLINOIS17

1.1%1.1 %17213INDIANA18

- 27301 -

- 18 -


LabelValue

1.5%1.5 %23676IOWA19

0.8%0.8 %12298KANSAS20

0.6%0.6 %10062KENTUCKY21

1.4%1.4 %23181LOUISIANA22

0.8%0.8 %12604MAINE23

4.0%4.0 %64598MARYLAND24

4.6%4.6 %74331MASSACHUSETTS25

3.8%3.8 %61179MICHIGAN26

2.8%2.8 %44243MINNESOTA27

2.3%2.3 %37389MISSOURI29

0.5%0.5 %8724MONTANA30

0.6%0.6 %10400NEBRASKA31

0.6%0.6 %9552NEVADA32

0.3%0.3 %5609NEW HAMPSHIRE33

3.3%3.3 %53413NEW JERSEY34

17.8%17.8 %285619NEW YORK36

1.2%1.2 %18554NORTH CAROLINA37

0.1%0.1 %1716NORTH DAKOTA38

4.5%4.5 %72746OHIO39

1.0%1.0 %16604OKLAHOMA40

2.9%2.9 %47046OREGON41

0.6%0.6 %9717RHODE ISLAND44

1.8%1.8 %29138SOUTH CAROLINA45

1.0%1.0 %16505SOUTH DAKOTA46

0.8%0.8 %13484TENNESSEE47

2.8%2.8 %44917TEXAS48

0.9%0.9 %15137UTAH49

0.3%0.3 %4702VERMONT50

1.1%1.1 %17982VIRGINIA51

3.8%3.8 %61487WASHINGTON53

1.2%1.2 %19507WISCONSIN55

0.2%0.2 %3200WYOMING56

0.2%0.2 %2556PUERTO RICO72


FIPS 2000 CBSA CODECBSA




- 27301 -

- 19 -

The term "Core Based Statistical Area" (CBSA) is a collective term for both metro and micro areas.Metropolitan andmicropolitan statistical areas (metro andmicro areas) are geographic entities defined

Question:

by the U.S. Office of Management and Budget (OMB) for use by Federal statistical agencies incollecting, tabulating, and publishing Federal statistics. A metro area contains a core urban area of50,000 or more population, and a micro area contains an urban core of at least 10,000 (but less than50,000) population. Each metro or micro area consists of one or more counties and includes thecounties containing the core urban area, as well as any adjacent counties that have a high degreeof social and economic integration (as measured by commuting to work) with the urban core.


LabelValue

0.1%0.1 %1371ABILENE, TX METRO10180

0.0%0.0 %53AGUADILLA-ISABELA-SAN SEBASTIAN, PRMETRO

10380

0.5%0.4 %5931AKRON, OH METRO10420

1.4%1.1 %17478ALBANY-SCHENECTADY-TROY, NY METRO10580

0.2%0.1 %2344ALEXANDRIA, LA METRO10780

0.0%0.0 %430ALLEGAN, MI MICRO10880

0.1%0.0 %692ALLENTOWN-BETHLEHEM-EASTON, PA-NJMETRO

10900

0.0%0.0 %401AMARILLO, TX METRO11100

0.0%0.0 %497ANCHORAGE, AK METRO11260

0.1%0.0 %636ANDERSON, IN METRO11300

0.1%0.1 %1324ANDERSON, SC METRO11340

0.1%0.1 %1226ANN ARBOR, MI METRO11460

0.1%0.1 %1208ASHEVILLE, NC METRO11700

0.1%0.1 %978ASHTABULA, OH MICRO11780

0.2%0.2 %2861ATLANTIC CITY, NJ METRO12100

0.1%0.0 %743AUGUSTA-RICHMOND COUNTY, GA-SCMETRO

12260

0.2%0.2 %2561AUSTIN-ROUND ROCK, TX METRO12420

0.2%0.2 %2989BAKERSFIELD, CA METRO12540

2.8%2.2 %34964BALTIMORE-TOWSON, MD METRO12580

0.4%0.3 %5510BARNSTABLE TOWN, MA METRO12700

0.4%0.3 %5065BATON ROUGE, LA METRO12940

0.1%0.1 %945BATTLE CREEK, MI METRO12980

0.0%0.0 %374BAY CITY, MI METRO13020

0.2%0.1 %1952BEAUMONT-PORT ARTHUR, TX METRO13140

0.2%0.2 %2518BELLINGHAM, WA METRO13380

0.2%0.1 %1986BILLINGS, MT METRO13740

0.2%0.2 %3057BINGHAMTON, NY METRO13780

0.1%0.1 %812BLOOMINGTON-NORMAL, IL METRO14060

0.1%0.0 %684BOISE CITY-NAMPA, ID METRO14260

3.4%2.6 %42550BOSTON-CAMBRIDGE-QUNICY,MA-NHMETRO14460

0.1%0.1 %1599BOULDER, CO METRO14500

0.2%0.1 %2181BREMERTON-SILVERDALE, WA METRO14740

- 27301 -

- 20 -


LabelValue

0.6%0.4 %7091BRIDGEPORT-STAMFORD-NORWALK, CTMETRO

14860

0.0%0.0 %351BROWNSVILLE-HARLINGEN, TX METRO15180

1.3%1.0 %16678BUFFALO-CHEEKTOWAGA-TONAWANDA, NYMETRO

15380

0.0%0.0 %422BURLINGTON, NC METRO15500

0.1%0.1 %901BURLINGTON-SOUTH BURLINGTON, VTMETRO

15540

0.1%0.1 %1558CANTON-MASSILLON, OH METRO15940

0.1%0.1 %1200CAPE CORAL-FORT MYERS, FL METRO15980

0.2%0.2 %2954CEDAR RAPIDS, IA METRO16300

0.1%0.1 %1748CHAMPAIGN-URBANA, IL METRO16580

0.4%0.3 %4932CHARLESTON-NORTH CHARLESTON, SCMETRO

16700

0.4%0.3 %4844CHARLOTTE-GASTONIA-CONCORD, NC-SCMETRO

16740

0.0%0.0 %471CHARLOTTESVILLE, VA METRO16820

0.1%0.1 %1041CHATTANOOGA, TN-GA METRO16860

3.6%2.8 %45162CHICAGO-NAPERVILLE-JOLIET, IL-IN-WIMETRO

16980

0.2%0.2 %2469CHICO, CA METRO17020

0.4%0.3 %5188CINCINNATI-MIDDLETOWN,OH-KY-INMETRO17140

0.0%0.0 %229CLARKSVILLE, TN-KY METRO17300

1.1%0.9 %13994CLEVELAND-ELYRIA-MENTOR, OH METRO17460

0.0%0.0 %335COLLEGE STATION-BRYAN, TX METRO17780

0.5%0.4 %6530COLORADO SPRINGS, CO METRO17820

0.2%0.1 %1957COLUMBIA, MO METRO17860

0.3%0.2 %3965COLUMBIA, SC METRO17900

0.8%0.7 %10661COLUMBUS, OH METRO18140

0.2%0.1 %2404CORPUS CHRISTI, TX METRO18580

0.1%0.1 %1877CUMBERLAND, MD-WV METRO19060

0.5%0.4 %5871DALLAS-FORT WORTH-ARLINGTON, TXMETRO

19100

0.0%0.0 %438DANVILLE, VA METRO19260

0.4%0.3 %4801DAVENPORT-MOLINE-ROCK ISLAND, IA-ILMETRO

19340

1.3%1.0 %16300DAYTON, OH METRO19380

0.1%0.1 %1060DECATUR, IL METRO19500

0.2%0.1 %2224DELTONA-DAYTONABEACH-ORMONDBEACH,FL METRO

19660

2.3%1.8 %29108DENVER-AURORA, CO METRO19740

0.2%0.2 %2577DES MOINES, IA METRO19780

- 27301 -

- 21 -


LabelValue

2.1%1.6 %26229DETROIT-WARREN-LIVONIA, MI METRO19820

0.1%0.1 %931DOVER, DE METRO20100

0.1%0.1 %1837DULUTH, MN-WI METRO20260

0.1%0.1 %1289DURHAM, NC METRO20500

0.1%0.0 %658EAST LIVERPOOL-SALEM, OH MICRO20620

0.1%0.1 %1766EL PASO, TX METRO21340

0.4%0.3 %5070EUGENE-SPRINGFIELD, OR METRO21660

0.0%0.0 %12EVANSVILLE, IN-KY METRO21780

0.0%0.0 %599FARGO, ND-MN METRO22020

0.1%0.0 %740FAYETTEVILLE, NC METRO22180

0.1%0.1 %1456FAYETTEVILLE-SPRINGDALE-ROGERS,AR-MOMETRO

22220

0.2%0.2 %3124FLINT, MI METRO22420

0.0%0.0 %485FLORENCE, SC METRO22500

0.2%0.1 %2006FORT COLLINS-LOVELAND, CO METRO22660

0.1%0.1 %1795FORT SMITH, AR-OK METRO22900

0.0%0.0 %101FORT WALTON BEACH-CRESTVIEW-DESTIN,FL METRO

23020

0.6%0.5 %8009FRESNO, CA METRO23420

0.0%0.0 %392GAINESVILLE, FL METRO23540

0.1%0.1 %1376GLENS FALLS, NY METRO24020

0.0%0.0 %112GOLDSBORO, NC METRO24140

0.2%0.2 %2562GRAND JUNCTION, CO METRO24300

0.3%0.3 %4396GRAND RAPIDS-WYOMING, MI METRO24340

0.2%0.2 %2983GREELEY, CO METRO24540

0.1%0.1 %879GREENSBORO-HIGH POINT, NC METRO24660

0.1%0.1 %924GREENVILLE, NC METRO24780

0.3%0.2 %4017GREENVILLE, SC METRO24860

0.1%0.1 %1856HAGERSTOWN-MARTINSBURG, MD-WVMETRO

25180

1.2%0.9 %14707HARTFORD-WEST HARTFORD-EASTHARTFORD, CT METRO

25540

0.1%0.0 %735HICKORY-MORGANTON-LENOIR, NC METRO25860

0.1%0.1 %940HOLLAND-GRAND HAVEN, MI METRO26100

0.4%0.3 %5140HONOLULU, HI METRO26180

0.1%0.1 %1175HOUMA-BAYOUCANE-THIBODAUX, LAMETRO26380

0.8%0.6 %9792HOUSTON-BAYTOWN-SUGAR LAND, TXMETRO

26420

0.0%0.0 %452HUNTINGTON-ASHLAND, WV-KY-OH METRO26580

0.1%0.0 %642INDIANAPOLIS, IN METRO26900

0.2%0.1 %2347IOWA CITY, IA METRO26980

- 27301 -

- 22 -


LabelValue

0.1%0.1 %1393JACKSON, MI METRO27100

0.1%0.1 %1166JACKSON, TN METRO27180

0.2%0.2 %2910JACKSONVILLE, FL METRO27260

0.0%0.0 %572JACKSONVILLE, NC METRO27340

0.1%0.1 %990JAMESTOWN-DUNKIRK-FREDONIA,NYMICRO27460

0.2%0.2 %2474JOHNSON, CITYTN METRO27740

0.1%0.1 %1289JOPLIN, MO METRO27900

0.2%0.1 %2007KALAMAZOO-PORTAGE, MI METRO28020

0.1%0.1 %1310KANKAKEE-BRADLEY, IL METRO28100

0.6%0.5 %7838KANSAS CITY, MO-KS METRO28140

0.2%0.1 %2341KENNEWICK-RICHLAND-PASCO, WA METRO28420

0.0%0.0 %369KILLEEN-TEMPLE-FORT HOOD, TX METRO28660

0.1%0.1 %1658KNOXVILLE, TN METRO28940

0.0%0.0 %49LA CROSSE, WI-MN METRO29100

0.1%0.1 %1602LAFAYETTE, LA METRO29180

0.1%0.1 %1495LAKE CHARLES, LA METRO29340

0.0%0.0 %243LAKELAND-WINTER HAVEN, FL METRO29460

0.2%0.1 %2110LANSING-EAST LANSING, MI METRO29620

0.0%0.0 %519LAREDO, TX METRO29700

0.4%0.3 %5147LAS VEGAS-PARADISE, NV METRO29820

0.1%0.0 %739LAWTON, OK METRO30020

0.1%0.1 %1133LEXINGTON-FAYETTE, KY METRO30460

0.0%0.0 %109LEXINGTON-THOMASVILLE, NC MICRO30540

0.0%0.0 %594LIMA, OH METRO30620

0.3%0.2 %3476LINCOLN, NE METRO30700

0.3%0.2 %3270LITTLE ROCK-NORTH LITTLE ROCK, ARMETRO

30780

0.1%0.0 %680LONGVIEW, TX METRO30980

4.4%3.4 %55024LOS ANGELES-LONG BEACH-SANTA ANA, CAMETRO

31100

0.2%0.2 %2738LOUISVILLE, KY-IN METRO31140

0.2%0.1 %2097LUBBOCK, TX METRO31180

0.0%0.0 %568LYNCHBURG, VA METRO31340

0.1%0.1 %864MADERA, CA METRO31460

0.2%0.1 %2017MANCHESTER-NASHUA, NH METRO31700

0.1%0.0 %796MANSFIELD, OH METRO31900

0.0%0.0 %90MAYAGUEZ, PR METRO32420

0.0%0.0 %496MCALLEN-EDINBURG-PHARR, TX METRO32580

0.2%0.2 %2628MEDFORD, OR METRO32780

0.2%0.2 %2668MEMPHIS, TN-MS-AR METRO32820

0.1%0.0 %791MERCED, CA METRO32900

- 27301 -

- 23 -


LabelValue

0.7%0.5 %8258MIAMI-FORT LAUDERDALE-MIAMI BEACH, FLMETRO

33100

0.0%0.0 %206MIDLAND, TX METRO33260

0.0%0.0 %21MILWAUKEE-WAUKESHA-WEST ALLIS, WIMETRO

33340

2.1%1.6 %25984MINNEAPOLIS-ST. PAUL-BLOOMINGTON,MN-WI METRO

33460

0.3%0.3 %4101MODESTO, CA METRO33700

0.1%0.1 %1869MONROE, LA METRO33740

0.0%0.0 %446MONROE, MI METRO33780

0.1%0.1 %1600MUSKEGON-NORTON SHORES, MI METRO34740

0.1%0.1 %858MYRTLE BEACH-CONWAY-NORTH MYRTLEBEACH, SC METRO

34820

0.0%0.0 %256NAPA, CA METRO34900

0.0%0.0 %464NAPLES-MARCO ISLAND, FL METRO34940

0.2%0.1 %2335NASHVILLE-DAVIDSON--MURFREESBORO,TNMETRO

34980

0.4%0.3 %5185NEW HAVEN-MILFORD, CT METRO35300

0.2%0.2 %2473NEWORLEANS-METAIRIE-KENNER,LAMETRO35380

16.6%13.0 %209340NEW YORK-NEWARK-EDISON, NY-NJ-PAMETRO

35620

0.1%0.1 %1047NILES-BENTON HARBOR, MI METRO35660

0.3%0.2 %3247NORWICH-NEW LONDON, CT METRO35980

0.0%0.0 %152OCALA, FL METRO36100

0.1%0.1 %958OCEAN CITY, NJ METRO36140

0.1%0.0 %695ODESSA, TX METRO36220

0.2%0.1 %2188OGDEN-CLEARFIELD, UT METRO36260

0.5%0.4 %5866OKLAHOMA CITY, OK METRO36420

0.1%0.1 %1833OLYMPIA, WA METRO36500

0.3%0.2 %4005OMAHA-COUNCIL BLUFFS, NE-IA METRO36540

0.2%0.2 %2771ORLANDO, FL METRO36740

0.2%0.2 %3105OXNARD-VENTURA-THOUSAND OAKSVENTURA, CA METRO

37100

0.1%0.0 %654PALM BAY-MELBOURNE-TITUSVILLE, FLMETRO

37340

0.1%0.1 %1023PANAMA CITY-LYNN HAVEN, FL METRO37460

0.0%0.0 %39PARKERSBURG-MARIETTA, WV-OH METRO37620

0.1%0.1 %1710PENSACOLA-FERRYPASS-BRENT, FLMETRO37860

0.2%0.2 %2966PEORIA, IL METRO37900

0.9%0.7 %11564PHILADELPHIA-CAMDEN-WILMINGTON,PA-NJ-DE-M METRO

37980

0.0%0.0 %549PONCE, PR METRO38660

- 27301 -

- 24 -


LabelValue

0.4%0.3 %4841PORTLAND-SOUTH PORTLAND, ME METRO38860

2.0%1.6 %25024PORTLAND-VANCOUVER-BEAVERTON,OR-WAMETRO

38900

0.0%0.0 %506PORT ST. LUCIE, FL METRO38940

0.8%0.7 %10636POUGHKEEPSIE-NEWBURGH-MIDDLETOWN,NY METRO

39100

1.3%1.0 %16035PROVIDENCE-NEW BEDFORD-FALL RIVER,RI-MA METRO

39300

0.1%0.1 %1080PROVO-OREM, UT METRO39340

0.3%0.2 %3318PUEBLO, CO METRO39380

0.0%0.0 %95PUNTA GORDA, FL METRO39460

0.2%0.1 %1945RALEIGH-CARY, NC METRO39580

0.2%0.1 %2124REDDING, CA METRO39820

0.1%0.1 %1588RENO-SPARKS, NV METRO39900

0.2%0.2 %2547RICHMOND, VA METRO40060

1.4%1.1 %17737RIVERSIDE-SAN BERNARDINO-ONTARIO, CAMETRO

40140

0.1%0.1 %881ROANOKE, VA METRO40220

0.1%0.1 %1274ROCHESTER, MN METRO40340

1.3%1.0 %16761ROCHESTER, NY METRO40380

0.3%0.2 %3452ROCKFORD, IL METRO40420

0.0%0.0 %46ROCKY MOUNT, NC METRO40580

0.9%0.7 %10951SACRAMENTO--ARDEN-ARCADE--ROSEVILLE,CA METRO

40900

0.1%0.1 %1714SAGINAW-SAGINZW TOWNSHIP NORTH, MIMETRO

40980

0.2%0.1 %2025SAINT CLOUD, MN METRO41060

0.1%0.0 %636SAINT JOSEPH, MO-KS METRO41140

1.0%0.8 %12605SAINT LOUIS, MO-IL METRO41180

0.3%0.3 %4180SALEM, OR METRO41420

0.1%0.1 %1753SALINAS, CA METRO41500

0.0%0.0 %55SALISBURY, NC MICRO41580

0.7%0.6 %9274SALT LAKE CITY, UT METRO41620

0.0%0.0 %321SAN ANGELO, TX METRO41660

0.4%0.3 %5009SAN ANTONIO, TX METRO41700

1.1%0.9 %14194SAN DIEGO-CARLSBAD-SAN MARCOS, CAMETRO

41740

2.1%1.6 %26029SAN FRANCISCO-OAKLAND-FREMONT, CAMETRO

41860

0.7%0.6 %9197SAN JOSE-SUNNYVALE-SANTA CLARA, CAMETRO

41940

0.1%0.1 %1443SAN JUAN-CAGUAS-GUAYNABO, PR METRO41980

- 27301 -

- 25 -


LabelValue

0.1%0.1 %1513SAN LUIS OBISPO-PASOROBLES, CAMETRO42020

0.3%0.2 %3235SANTA BARBARA-SANTA MARIA-GOLETA, CAMETRO

42060

0.2%0.2 %2580SANTA CRUZ-WATSONVILLE, CA METRO42100

0.4%0.3 %4689SANTA ROSA, CA METRO42220

0.0%0.0 %104SARASOTA-BRADENTON-VENICE, FL METRO42260

1.9%1.5 %24248SEATTLE-TACOMA-BELLEVUE, WA METRO42660

0.0%0.0 %198SHERMAN-DENISON, TX METRO43300

0.2%0.1 %2124SHREVEPORT-BOSSIER CITY, LA METRO43340

0.1%0.1 %1559SIOUX CITY, IA-NE-SD METRO43580

0.5%0.4 %6068SIOUX FALLS, SD METRO43620

0.2%0.2 %2535SPARTANBURG, SC METRO43900

0.6%0.4 %7016SPOKANE, WA METRO44060

0.2%0.1 %2034SPRINGFIELD, IL METRO44100

0.5%0.4 %6553SPRINGFIELD, MA METRO44140

0.1%0.1 %1470SPRINGFIELD, MO METRO44180

0.1%0.1 %1883SPRINGFIELD, OH METRO44220

0.3%0.2 %3551STOCKTON, CA METRO44700

0.1%0.1 %805SUMTER, SC METRO44940

0.8%0.6 %9831SYRACUSE, NY METRO45060

0.1%0.1 %929TALLAHASSEE, FL METRO45220

0.5%0.4 %6235TAMPA-ST. PETERSBURG-CLEARWATER, FLMETRO

45300

0.1%0.1 %1074TEXARKANA TX-TEXARKANA, AR METRO45500

0.0%0.0 %497TOLEDO, OH METRO45780

0.1%0.1 %1158TOPEKA, KS METRO45820

0.1%0.1 %1301TRENTON-EWING, NJ METRO45940

0.2%0.1 %2150TULSA, OK METRO46140

0.0%0.0 %241TYLER, TX METRO46340

0.3%0.2 %3911UTICA-ROME, NY METRO46540

0.2%0.2 %2734VALLEJO-FAIRFIELD, CA METRO46700

0.2%0.2 %2978VINELAND-MILLVILLE-BRIDGETON,NJMETRO47220

0.3%0.2 %3902VIRGINIABEACH-NORFOLK-NEWPORTNEWS,VA-NC METRO

47260

0.3%0.2 %4004VISALIA-PORTERVILLE, CA METRO47300

0.1%0.1 %1667WACO, TX METRO47360

1.6%1.3 %20278WASHINGTON-ARLINGTIN-ALEXANDRIA,DC-VA-MD-W METRO

47900

0.1%0.1 %1792WATERLOO-CEDAR FALLS, IA METRO47940

0.1%0.0 %666WHEELING, WV-OH METRO48540

0.3%0.2 %3761WICHITA, KS METRO48620

- 27301 -

- 26 -


LabelValue

0.0%0.0 %335WICHITA FALLS, TX METRO48660

0.1%0.1 %879WILMINGTON, NC METRO48900

0.2%0.1 %1984WINSTON-SALEM, NC METRO49180

0.8%0.6 %9731WORCESTER, MA METRO49340

0.4%0.3 %5475YAKIMA, WA METRO49420

0.1%0.1 %1198YOUNGSTOWN-WARREN-BOARDMAN,OH-PAMETRO

49660

0.1%0.1 %1116YUBA CITY-MARYSVILLE, CA METRO49700

-21.7 %349284UNDESIGNATEDAREA/MISSING/UNKNOWN/NOTCOLLECTED/INVALID

-9 (M)


FIPS 1990 MSA CODEPMSA




According to the U.S. Bureau of the Census, if an area that qualifies as a Metropolitan Area (MA)has more than one million persons, PMSAs may be defined within it. PMSAs consist of a large

Question:

urbanized county or cluster of counties that demonstrates very strong internal economic and sociallinks, in addition to close ties to other portions of the larger area. When PMSAs are established, thelarger area of which they are component parts is designated a consolidated metropolitan statisticalarea (CMSA). In New England States, metropolitan areas follow the New England County MetropolitanArea (NECMA) definition.


LabelValue

0.1%0.1 %1371ABILENE, TX MSA40

0.0%0.0 %53AGUADILLA, PR MSA60

0.5%0.4 %5931AKRON, OH PMSA80

1.4%1.1 %17478ALBANY-SCHENECTADY-TROY, NY MSA160

0.2%0.1 %2344ALEXANDRIA, LA MSA220

0.0%0.0 %401AMARILLO, TX MSA320

0.0%0.0 %497ANCHORAGE, AK MSA380

0.1%0.1 %1329ANN ARBOR, MI PMSA440

0.1%0.0 %763ARECIBO, PR PMSA470

0.1%0.1 %1208ASHEVILLE, NC MSA480

0.3%0.2 %3819ATLANTIC-CAPE MAY, NJ PMSA560

0.1%0.0 %743AUGUSTA-AIKEN, GA-SC MSA600

0.2%0.2 %2561AUSTIN-SAN MARCOS, TX MSA640

0.2%0.2 %2989BAKERSFIELD, CA MSA680

2.8%2.2 %34964BALTIMORE, MD PMSA720

0.4%0.3 %5510BARNSTABLE-YARMOUTH, MA NECMA743

0.4%0.3 %5065BATON ROUGE, LA MSA760

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LabelValue

0.2%0.1 %1952BEAUMONT-PORT ARTHUR, TX MSA840

0.2%0.2 %2518BELLINGHAM, WA MSA860

0.1%0.1 %1047BENTON HARBOR, MI MSA870

0.7%0.5 %8426BERGEN-PASSAIC, NJ PMSA875

0.2%0.1 %1986BILLINGS, MT MSA880

0.2%0.2 %3057BINGHAMTON, NY MSA960

0.1%0.1 %812BLOOMINGTON-NORMAL, IL MSA1040

0.1%0.0 %684BOISE CITY, ID MSA1080

4.9%3.8 %61105BOSTON-WORCESTER-LAWRENCE-LOWELL-BROCKTON,MA-NH NECMA

1123

0.1%0.1 %1625BOULDER-LONGMONT, CO PMSA1125

0.1%0.1 %939BRAZORIA, TX PMSA1145

0.2%0.1 %2181BREMERTON, WA PMSA1150

0.0%0.0 %351BROWNSVILLE-HARLINGEN-SAN BENITO, TXMSA

1240

0.0%0.0 %335BRYAN-COLLEGE STATION, TX MSA1260

1.3%1.0 %16678BUFFALO-NIAGARA FALLS, NY MSA1280

0.1%0.1 %901BURLINGTON, VT NECMA1303

0.0%0.0 %55CAGUAS, PR PMSA1310

0.1%0.1 %1558CANTON-MASSILLON, OH MSA1320

0.2%0.2 %2954CEDAR RAPIDS, IA MSA1360

0.1%0.1 %1748CHAMPAIGN-URBANA, IL MSA1400

0.4%0.3 %4932CHARLESTON-NORTHCHARLESTON,SCMSA1440

0.4%0.3 %4899CHARLOTTE-GASTONIA-ROCK HILL, NC-SCMSA

1520

0.0%0.0 %471CHARLOTTESVILLE, VA MSA1540

0.1%0.1 %1041CHATTANOOGA, TN-GA MSA1560

3.6%2.8 %45162CHICAGO, IL PMSA1600

0.2%0.2 %2469CHICO-PARADISE, CA MSA1620

0.4%0.3 %5003CINCINNATI, OH-KY-IN PMSA1640

0.0%0.0 %229CLARKSVILLE-HOPKINSVILLE, TN-KY MSA1660

1.2%0.9 %14972CLEVELAND-LORAIN-ELYRIA, OH PMSA1680

0.5%0.4 %6530COLORADO SPRINGS, CO MSA1720

0.2%0.1 %1957COLUMBIA, MO MSA1740

0.3%0.2 %3965COLUMBIA, SC MSA1760

0.8%0.7 %10661COLUMBUS, OH MSA1840

0.2%0.1 %2404CORPUS CHRISTI, TX MSA1880

0.1%0.1 %1877CUMBERLAND, MD-WV MSA1900

0.1%0.1 %1043DALLAS, TX PMSA1920

0.0%0.0 %438DANVILLE, VA MSA1950

0.4%0.3 %4801DAVENPORT-MOLINE-ROCK ISLAND, IA-ILMSA1960

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LabelValue

1.4%1.1 %18183DAYTON-SPRINGFIELD, OH MSA2000

0.2%0.1 %2224DAYTONA BEACH, FL MSA2020

0.1%0.1 %1060DECATUR, IL MSA2040

2.3%1.8 %29082DENVER, CO PMSA2080

0.2%0.2 %2577DES MOINES, IA MSA2120

2.1%1.7 %26572DETROIT, MI PMSA2160

0.1%0.1 %931DOVER, DE MSA2190

0.1%0.1 %1837DULUTH-SUPERIOR, MN-WI MSA2240

0.5%0.4 %5980DUTCHESS COUNTY, NY PMSA2281

0.1%0.1 %1766EL PASO, TX MSA2320

0.4%0.3 %5070EUGENE-SPRINGFIELD, OR MSA2400

0.0%0.0 %12EVANSVILLE-HENDERSON, IN-KY MSA2440

0.0%0.0 %599FARGO-MOORHEAD, ND-MN MSA2520

0.1%0.0 %740FAYETTEVILLE, NC MSA2560

0.1%0.1 %1456FAYETTEVILLE-SPRINGDALE-ROGERS, ARMSA

2580

0.2%0.2 %3124FLINT, MI PMSA2640

0.0%0.0 %485FLORENCE, SC MSA2655

0.2%0.1 %2006FORT COLLINS-LOVELAND, CO MSA2670

0.3%0.2 %3599FORT LAUDERDALE, FL PMSA2680

0.1%0.1 %1200FORT MYERS-CAPE CORAL, FL MSA2700

0.0%0.0 %506FORT PIERCE-PORT ST. LUCIE, FL MSA2710

0.1%0.1 %1795FORT SMITH, AR-OK MSA2720

0.0%0.0 %101FORT WALTON BEACH, FL MSA2750

0.4%0.3 %4828FORT WORTH-ARLINGTON, TX PMSA2800

0.7%0.6 %8873FRESNO, CA MSA2840

0.0%0.0 %392GAINESVILLE, FL MSA2900

0.1%0.0 %800GALVESTON-TEXAS CITY, TX PMSA2920

0.1%0.1 %1376GLENS FALLS, NY MSA2975

0.0%0.0 %112GOLDSBORO, NC MSA2980

0.2%0.2 %2562GRAND JUNCTION, CO MSA2995

0.6%0.5 %7366GRAND RAPIDS-MUSKEGON-HOLLAND, MIMSA

3000

0.2%0.2 %2983GREELEY, CO PMSA3060

0.3%0.2 %3394GREENSBORO--WINSTON-SALEM--HIGHPOINT, NC MSA

3120

0.1%0.1 %924GREENVILLE, NC MSA3150

0.6%0.5 %7876GREENVILLE-SPARTANBURG-ANDERSON,SCMSA

3160

0.1%0.1 %1856HAGERSTOWN, MD PMSA3180

0.0%0.0 %185HAMILTON-MIDDLETOWN, OH PMSA3200

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LabelValue

1.2%0.9 %14707HARTFORD, CT NECMA3283

0.1%0.0 %735HICKORY-MORGANTON, NC MSA3290

0.4%0.3 %5140HONOLULU, HI MSA3320

0.1%0.1 %1175HOUMA, LA MSA3350

0.6%0.5 %8053HOUSTON, TX PMSA3360

0.0%0.0 %452HUNTINGTON-ASHLAND, WV-KY-OH MSA3400

0.1%0.1 %1278INDIANAPOLIS, IN MSA3480

0.2%0.1 %2347IOWA CITY, IA MSA3500

0.1%0.1 %1393JACKSON, MI MSA3520

0.1%0.1 %1166JACKSON, TN MSA3580

0.2%0.2 %2910JACKSONVILLE, FL MSA3600

0.0%0.0 %572JACKSONVILLE, NC MSA3605

0.1%0.1 %990JAMESTOWN, NY MSA3610

0.2%0.1 %2037JERSEY CITY, NJ PMSA3640

0.2%0.2 %2474JOHNSONCITY-KINGSPORT-BRISTOL, TN-VAMSA

3660

0.1%0.1 %1289JOPLIN, MO MSA3710

0.2%0.2 %2952KALAMAZOO-BATTLE CREEK, MI MSA3720

0.1%0.1 %1310KANKAKEE, IL PMSA3740

0.6%0.5 %7838KANSAS CITY, MO-KS MSA3760

0.0%0.0 %369KILLEEN-TEMPLE, TX MSA3810

0.1%0.1 %1658KNOXVILLE, TN MSA3840

0.0%0.0 %49LA CROSSE, WI-MN MSA3870

0.1%0.1 %1602LAFAYETTE, LA MSA3880

0.1%0.1 %1495LAKE CHARLES, LA MSA3960

0.0%0.0 %243LAKELAND-WINTER HAVEN, FL MSA3980

0.2%0.1 %2110LANSING-EAST LANSING, MI MSA4040

0.0%0.0 %519LAREDO, TX MSA4080

0.4%0.3 %5147LAS VEGAS, NV-AZ MSA4120

0.1%0.0 %739LAWTON, OK MSA4200

0.1%0.1 %1133LEXINGTON, KY MSA4280

0.0%0.0 %594LIMA, OH MSA4320

0.3%0.2 %3476LINCOLN, NE MSA4360

0.3%0.2 %3270LITTLE ROCK-NORTH LITTLE ROCK, AR MSA4400

0.1%0.0 %680LONGVIEW-MARSHALL, TX MSA4420

3.4%2.7 %42740LOS ANGELES-LONG BEACH, CA PMSA4480

0.2%0.2 %2738LOUISVILLE, KY-IN MSA4520

0.2%0.1 %2097LUBBOCK, TX MSA4600

0.0%0.0 %568LYNCHBURG, VA MSA4640

0.1%0.0 %796MANSFIELD, OH MSA4800

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LabelValue

0.0%0.0 %90MAYAGUEZ, PR MSA4840

0.0%0.0 %496MCALLEN-EDINBURG-MISSION, TX MSA4880

0.2%0.2 %2628MEDFORD-ASHLAND, OR MSA4890

0.1%0.0 %654MELBOURNE-TITUSVILLE-PALM BAY, FL MSA4900

0.2%0.2 %2668MEMPHIS, TN-AR-MS MSA4920

0.1%0.0 %791MERCED, CA MSA4940

0.2%0.2 %2592MIAMI, FL PMSA5000

0.4%0.3 %4749MIDDLESEX-SOMERSET-HUNTERDON, NJPMSA

5015

0.0%0.0 %21MILWAUKEE-WAUKESHA, WI PMSA5080

2.1%1.6 %25984MINNEAPOLIS-ST. PAUL, MN-WI MSA5120

0.3%0.3 %4101MODESTO, CA MSA5170

0.6%0.5 %7361MONMOUTH-OCEAN, NJ PMSA5190

0.1%0.1 %1869MONROE, LA MSA5200

0.1%0.1 %858MYRTLE BEACH, SC MSA5330

0.0%0.0 %464NAPLES, FL MSA5345

0.2%0.1 %2335NASHVILLE, TN MSA5360

2.4%1.9 %29952NASSAU-SUFFOLK, NY PMSA5380

1.0%0.8 %12276NEWHAVEN-BRIDGEPORT-STAMFORD-WATERBURY-DANBURY,CT NECMA

5483

0.3%0.2 %3247NEW LONDON-NORWICH, CT NECMA5523

0.2%0.2 %2473NEW ORLEANS, LA MSA5560

11.3%8.8 %141665NEW YORK, NY PMSA5600

1.3%1.0 %15842NEWARK, NJ PMSA5640

0.4%0.3 %4656NEWBURGH, NY-PA PMSA5660

0.3%0.2 %3902NORFOLK-VIRGINIABEACH-NEWPORTNEWS,VA-NC MSA

5720

0.8%0.6 %10357OAKLAND, CA PMSA5775

0.0%0.0 %152OCALA, FL MSA5790

0.1%0.1 %901ODESSA-MIDLAND, TX MSA5800

0.5%0.4 %5866OKLAHOMA CITY, OK MSA5880

0.1%0.1 %1833OLYMPIA, WA PMSA5910

0.3%0.2 %4005OMAHA, NE-IA MSA5920

1.0%0.8 %12284ORANGE COUNTY, CA PMSA5945

0.2%0.2 %2771ORLANDO, FL MSA5960

0.1%0.1 %1023PANAMA CITY, FL MSA6015

0.0%0.0 %39PARKERSBURG-MARIETTA, WV-OH MSA6020

0.1%0.1 %1710PENSACOLA, FL MSA6080

0.2%0.2 %2966PEORIA-PEKIN, IL MSA6120

0.5%0.4 %6538PHILADELPHIA, PA-NJ PMSA6160

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LabelValue

0.0%0.0 %549PONCE, PR MSA6360

0.4%0.3 %4841PORTLAND, ME NECMA6403

2.0%1.6 %25024PORTLAND-VANCOUVER, OR-WA PMSA6440

0.7%0.6 %9228PROVIDENCE-WARWICK-PAWTUCKET, RINECMA

6483

0.1%0.1 %1080PROVO-OREM, UT MSA6520

0.3%0.2 %3318PUEBLO, CO MSA6560

0.0%0.0 %95PUNTA GORDA, FL MSA6580

0.3%0.2 %3234RALEIGH-DURHAM-CHAPEL HILL, NC MSA6640

0.2%0.1 %2124REDDING, CA MSA6690

0.1%0.1 %1588RENO, NV MSA6720

0.2%0.1 %2341RICHLAND-KENNEWICK-PASCO, WA MSA6740

0.2%0.2 %2547RICHMOND-PETERSBURG, VA MSA6760

1.4%1.1 %17737RIVERSIDE-SAN BERNARDINO, CA PMSA6780

0.1%0.1 %881ROANOKE, VA MSA6800

0.1%0.1 %1274ROCHESTER, MN MSA6820

1.3%1.0 %16761ROCHESTER, NY MSA6840

0.3%0.2 %3452ROCKFORD, IL MSA6880

0.0%0.0 %46ROCKY MOUNT, NC MSA6895

0.8%0.6 %10177SACRAMENTO, CA PMSA6920

0.2%0.1 %2088SAGINAW-BAY CITY-MIDLAND, MI MSA6960

0.2%0.1 %2025ST. CLOUD, MN MSA6980

0.1%0.0 %636ST. JOSEPH, MO MSA7000

1.0%0.8 %12605ST. LOUIS, MO-IL MSA7040

0.3%0.3 %4180SALEM, OR PMSA7080

0.1%0.1 %1753SALINAS, CA MSA7120

0.9%0.7 %11462SALT LAKE CITY-OGDEN, UT MSA7160

0.0%0.0 %321SAN ANGELO, TX MSA7200

0.4%0.3 %5009SAN ANTONIO, TX MSA7240

1.1%0.9 %14194SAN DIEGO, CA MSA7320

1.2%1.0 %15672SAN FRANCISCO, CA PMSA7360

0.7%0.6 %9197SAN JOSE, CA PMSA7400

0.0%0.0 %625SAN JUAN-BAYAMON, PR PMSA7440

0.1%0.1 %1513SAN LUIS OBISPO-ATASCADERO-PASOROBLES, CA MSA

7460

0.3%0.2 %3235SANTABARBARA-SANTAMARIA-LOMPOC,CAMSA

7480

0.2%0.2 %2580SANTA CRUZ-WATSONVILLE, CA PMSA7485

0.4%0.3 %4689SANTA ROSA, CA PMSA7500

0.0%0.0 %104SARASOTA-BRADENTON, FL MSA7510

1.3%1.0 %16622SEATTLE-BELLEVUE-EVERETT, WA PMSA7600

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LabelValue

0.0%0.0 %198SHERMAN-DENISON, TX MSA7640

0.2%0.1 %2124SHREVEPORT-BOSSIER CITY, LA MSA7680

0.1%0.1 %1559SIOUX CITY, IA-NE MSA7720

0.5%0.4 %6068SIOUX FALLS, SD MSA7760

0.6%0.4 %7016SPOKANE, WA MSA7840

0.2%0.1 %2034SPRINGFIELD, IL MSA7880

0.1%0.1 %1470SPRINGFIELD, MO MSA7920

0.5%0.4 %6553SPRINGFIELD, MA NECMA8003

0.3%0.2 %3551STOCKTON-LODI, CA MSA8120

0.1%0.1 %805SUMTER, SC MSA8140

0.8%0.6 %9831SYRACUSE, NY MSA8160

0.6%0.5 %7626TACOMA, WA PMSA8200

0.1%0.1 %929TALLAHASSEE, FL MSA8240

0.5%0.4 %6235TAMPA-ST. PETERSBURG-CLEARWATER, FLMSA

8280

0.1%0.1 %1074TEXARKANA, TX-TEXARKANA, AR MSA8360

0.0%0.0 %497TOLEDO, OH MSA8400

0.1%0.1 %1158TOPEKA, KS MSA8440

0.1%0.1 %1301TRENTON, NJ PMSA8480

0.2%0.1 %2150TULSA, OK MSA8560

0.0%0.0 %241TYLER, TX MSA8640

0.3%0.2 %3911UTICA-ROME, NY MSA8680

0.2%0.2 %2990VALLEJO-FAIRFIELD-NAPA, CA PMSA8720

0.2%0.2 %3105VENTURA, CA PMSA8735

0.2%0.2 %2978VINELAND-MILLVILLE-BRIDGETON, NJ PMSA8760

0.3%0.2 %4004VISALIA-TULARE-PORTERVILLE, CA MSA8780

0.1%0.1 %1667WACO, TX MSA8800

1.6%1.3 %20278WASHINGTON, DC-MD-VA-WV PMSA8840

0.1%0.1 %1792WATERLOO-CEDAR FALLS, IA MSA8920

0.2%0.1 %2067WEST PALM BEACH-BOCA RATON, FL MSA8960

0.1%0.0 %666WHEELING, WV-OH MSA9000

0.3%0.2 %3761WICHITA, KS MSA9040

0.0%0.0 %335WICHITA FALLS, TX MSA9080

0.4%0.3 %5026WILMINGTON-NEWARK, DE-MD PMSA9160

0.1%0.1 %879WILMINGTON, NC MSA9200

0.4%0.3 %5475YAKIMA, WA MSA9260

0.1%0.0 %774YOLO, CA PMSA9270

0.1%0.1 %1856YOUNGSTOWN-WARREN, OH MSA9320

0.1%0.1 %1116YUBA CITY, CA MSA9340

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LabelValue

-21.7 %349284UNDESIGNATEDAREA/MISSING/UNKNOWN/NOTCOLLECTED/INVALID

-9 (M)


CENSUS REGIONREGION




CENSUS REGION: Geographic regions used are based on divisionsQuestion:

used by the U.S. Bureau of Census, 1970 Census of Population.They are comprised of the following states and territories:

- U.S. TERRITORIES: Puerto Rico

- NORTHEAST: New England Division (Connecticut, Maine,Massachusetts, New Hampshire, Rhode Island, Vermont)and Middle Atlantic Division (New Jersey, New York,Pennsylvania).

- MIDWEST: East North Central Division (Illinois, Indiana,Michigan, Ohio, Wisconsin) and West North Central Division(Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota,South Dakota).

- SOUTH: South Atlantic Division (Delaware, District ofColumbia, Florida, Georgia, Maryland, North Carolina,South Carolina, Virginia, West Virginia) and East SouthCentral Division (Alabama, Kentucky, Mississippi, Tennessee),and West South Central Division (Arkansas, Louisiana,Oklahoma, Texas).

- WEST: Mountain Division (Arizona, Colorado, Idaho, Montana,Nevada, New Mexico, Utah, Wyoming) and Pacific Division(Alaska, California, Hawaii, Oregon, Washington).


LabelValue

0.2%0.2 %2556U.S. TERRITORIES0

29.9%29.9 %480263NORTHEAST1

24.5%24.5 %394346MIDWEST2

18.5%18.5 %297453SOUTH3

26.9%26.9 %432757WEST4


CENSUS DIVISIONDIVISION


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CENSUS DIVISION: Census divisions are groupings of statesQuestion:

that are subdivisions of the four census regions. There arenine divisions, which the Census Bureau adopted in 1910 forthe presentation of data. The divisions and the statesincluded in them are:

- U.S. TERRITORIES: Puerto Rico

- NEW ENGLAND: Connecticut, Maine, Massachusetts, NewHampshire, Rhode Island, and Vermont.

- MIDDLE ATLANTIC: New Jersey, New York, and Pennsylvania.

- EAST NORTH CENTRAL: Illinois, Indiana, Michigan, Ohio, andWisconsin.

- WEST NORTH CENTRAL: Iowa, Kansas, Minnesota, Missouri,Nebraska, North Dakota, and South Dakota.

- SOUTH ATLANTIC: Delaware, District of Columbia, Florida,Georgia, Maryland, North Carolina, South Carolina,Virginia, and West Virginia.

- EAST SOUTH CENTRAL: Alabama, Kentucky, Mississippi, andTennessee.

- WEST SOUTH CENTRAL: Arkansas, Louisiana, Oklahoma, andTexas.

- MOUNTAIN: Arizona, Colorado, Idaho, Montana, Nevada,New Mexico, Utah, and Wyoming.

- PACIFIC: Alaska, California, Hawaii, Oregon, andWashington.


LabelValue

0.2%0.2 %2556U.S. TERRITORIES0

8.8%8.8 %141231NEW ENGLAND1

21.1%21.1 %339032MIDDLE ATLANTIC2

15.4%15.4 %248119EAST NORTH CENTRAL3

9.1%9.1 %146227WEST NORTH CENTRAL4

10.8%10.8 %173662SOUTH ATLANTIC5

1.5%1.5 %23546EAST SOUTH CENTRAL6

6.2%6.2 %100245WEST SOUTH CENTRAL7

7.1%7.1 %113538MOUNTAIN8

19.9%19.9 %319219PACIFIC9


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SERVICE SETTING AT DISCHARGESERVSETD




Describes the type of service the client was receiving priorQuestion:

to discharge.

- DETOXIFICATION, 24-HOUR SERVICE, HOSPITAL INPATIENT:24 hour per day medical acute care services in hospitalsetting for detoxification for persons with severe medicalcomplications associated with withdrawal.

- DETOXIFICATION, 24-HOUR SERVICE, FREE-STANDING RESIDENTIAL:24 hour per day services in non-hospital setting providingfor safe withdrawal and transition to ongoing treatment.

- REHABILITATION/RESIDENTIAL - HOSPITAL (OTHER THAN DETOX):24 hour per day medical care in a hospital facility inconjunction with treatment services for alcohol and otherdrug abuse and dependency.

- REHABILITAITON/RESIDENTIAL - SHORT TERM (30 DAYS OR FEWER):Typically, 30 days or less of non-acute care in a settingwith treatment services for alcohol and other drug abuseand dependency.

- REHABILITATION/RESIDENTIAL - LONG TERM (MORE THAN 30 DAYS):Typically, more than 30 days of non-acute care in a settingwith treatment services for alcohol and other drug abuseand dependency; this may include transitional livingarrangements such as halfway houses.

- AMBULATORY - INTENSIVE OUTPATIENT:As a minimum, the client must receive treatment lasting twoor more hours per day for three or more days per week.(Includes partial hospitalization)

- AMBULATORY - NON-INTENSIVE OUTPATIENT:Ambulatory treatment services including individual, family,and/or group services; these may include pharmacologicaltherapies.

- AMBULATORY - DETOXIFICATION:Outpatient treatment services providing for safewithdrawal in an ambulatory setting (pharmacologicalor non-pharmacological).


LabelValue

4.4%4.4 %71484DETOX, 24 HR, HOSPITAL INPATIENT1

16.0%16.0 %257119DETOX, 24HR, FREE-STANDINGRESIDENTIAL2

0.4%0.4 %6174REHAB/RES, HOSPITAL (NON-DETOX)3

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LabelValue

11.3%11.3 %181171REHAB/RES, SHORT TERM (30 DAYS ORFEWER)

4

8.5%8.5 %135976REHAB/RES, LONG TERM (MORE THAN 30DAYS)

5

11.4%11.4 %182539AMBULATORY, INTENSIVE OUTPATIENT6

46.5%46.5 %747618AMBULATORY, NON-INTENSIVE OUTPATIENT.7

1.6%1.6 %25001AMBULATORY, DETOXIFICATION8



MEDICATION-ASSISTED OPIOID THERAPYMETHUSE




This field identifies whether the use of Methadone or Buprenorphine is part of the client's treatmentplan.

Question:


LabelValue

5.4%5.0 %80236YES1

94.6%88.2 %1418413NO2



DAYS WAITING TO ENTER TREATMENTDAYWAIT




Indicates the number of days from the first contact orQuestion:

request for service until the client was admitted andthe first clinical service was provided.

Guidelines: This item is intended to capture the numberof days the client must wait to begin treatment becauseof program capacity, treatment availability, admissionsrequirements, or other program requirements. It shouldnot include time delays caused by client unavailabilityor client failure to meet any requirement or obligation.


• Mean: 7.12• Median: 0.00• Mode: 0.00

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• Minimum: 0.00• Maximum: 996.00• Standard Deviation: 41.97

REASON FOR DISCHARGEREASON




Indicates the outcome of treatment or the reason for transferQuestion:

or discontinuance of treatment.

- TREATMENT COMPLETED: All parts of the treatment plan orprogram were completed.

- LEFT AGAINST PROFESSIONAL ADVICE: Client chose not tocomplete program, with or without specific advice tocontinue treatment. Includes clients who "drop out" oftreatment for unknown reason and clients who have notreceived treatment for some time and are discharged for"administrative" reasons.

- TERMINATED BY FACILITY: Treatment terminated by action offacility, generally because of client non-compliance orviolation of rules, laws, or procedures (not because clientdropped out of treatment, client incarcerated, or otherclient motivated reason).

- TRANSFERRED TO ANOTHER SUBSTANCE ABUSE TREATMENT PROGRAMOR FACILITY: Client was transferred to another substanceabuse treatment program, provider or facility withinan episode of treatment.

- INCARCERATED: This code is to be used for all clientswhose course of treatment is terminated because theclient has been incarcerated. Includes jail, prison,and house confinement.

- DEATH

- OTHER: Moved, illness, hospitalization, or other reasonsomewhat out of client's control.

- UNKNOWN: Client status at discharge is not known becausefor example, discharge record is lost or incomplete.


LabelValue

46.3%46.3 %744811TREATMENT COMPLETED1

25.7%25.7 %413453LEFT AGAINST PROFESSIONAL ADVICE2

6.4%6.4 %103417TERMINATED BY FACILITY3

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LabelValue

13.9%13.9 %223364TRANSFERRED TO ANOTHER TREATMENTPROGRAM OR FACILITY

4

2.1%2.1 %33187INCARCERATED5

0.2%0.2 %3720DEATH6

5.3%5.3 %85299OTHER7



LENGTH OF STAYLOS




Describes the length of the treatment episode (in days).Question:

Length of stay was computed using the date of admission andthe date of last contact. One day is added to all outpatientdischarges, so that the first day and last day of outpatienttreatment are counted.

- 1 to 30: Data values in the 1-30 range represent theactual computed number of days the client spent intreatment

- 31: Length of stay is between 31 and 45 days.






- 37: Length of stay is greater than 365 days.


LabelValue

4.1%4.1 %66348-1

3.9%3.9 %63063-2

4.1%4.1 %66473-3

3.7%3.7 %59379-4

3.4%3.4 %54508-5

2.6%2.6 %41840-6

2.1%2.1 %33528-7

1.7%1.7 %27502-8

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LabelValue

1.0%1.0 %16625-9

1.0%1.0 %15631-10

0.8%0.8 %12129-11

0.7%0.7 %11294-12

0.9%0.9 %14596-13

1.1%1.1 %18260-14

1.1%1.1 %18328-15

0.7%0.7 %11579-16

0.6%0.6 %10312-17

0.6%0.6 %9717-18

0.6%0.6 %9398-19

0.8%0.8 %13499-20

1.2%1.2 %19547-21

1.0%1.0 %16735-22

0.7%0.7 %11156-23

0.6%0.6 %10022-24

0.6%0.6 %10342-25

0.7%0.7 %10695-26

1.2%1.2 %18706-27

1.9%1.9 %30678-28

1.3%1.3 %21031-29

1.1%1.1 %17898-30

8.0%8.0 %12813431 TO 45 DAYS31

6.1%6.1 %9866846 TO 60 DAYS32

9.7%9.7 %15553361 TO 90 DAYS33

7.7%7.7 %12301591 TO 120 DAYS34

8.9%8.9 %143222121 TO 180 DAYS35

9.7%9.7 %155538181 TO 365 DAYS36

3.9%3.9 %62441MORE THAN A YEAR37



PRINCIPAL SOURCE OF REFERRALPSOURCE




Describes the person or agency referring the client to theQuestion:

alcohol or drug abuse treatment program:

- INDIVIDUAL (INCLUDES SELF-REFERRAL): Includes the client,

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a family member, friend, or any other individual who wouldnot be included in any of the following categories. Includesself-referral due to pending DWU/DUI.

- ALCOHOL/DRUG ABUSE CARE PROVIDER: Any program, clinic,or other HEALTH CARE PROVIDER whose principal objectiveis treating clients with substance abuse problems, or aprogram whose activities are related to alcohol or otherdrug abuse prevention, education, or treatment.

- OTHER HEALTH CARE PROVIDER: A physician, psychiatrist,or other licensed health care professional; or generalhospital, psychiatric hospital, mental health program,or nursing home.

- SCHOOL (EDUCATIONAL): A school principal, counselor, orteacher; or a student assistance program (SAP), the schoolsystem, or an educational agency.

- EMPLOYER/EAP: A supervisor or an employee counselor.

- OTHER COMMUNITY REFERRAL: Community or religiousorganization or any Federal, State, or local agency thatprovides aid in the areas of poverty relief, unemployment,shelter, or social welfare. Self-help groups such asAlcoholics Anonymous (AA), Al-Anon, and Narcotics Anonymous(NA) are also included in this category. Defense attorneysare also included in this category.

- COURT / CRIMINAL JUSTICE REFERRAL / DUI/DWI: Any policeofficial, judge, prosecutor, probation officer, or otherperson affiliated with a Federal, State, or countyjudicial system. Includes referral by a court forDWI/DUI, clients referred in lieu of or for deferredprosecution, or during pretrial release, or before orafter official adjudication. Includes clients onpre-parole, pre-release, work or home furlough, or TASC.Client need not be officially designated as "on parole."Includes clients referred through civil commitment. Clientreferrals in this category are further defined in theSupplemental Data Set item "Detailed Criminal JusticeReferral (DETCRIM).


LabelValue

33.0%32.5 %523161INDIVIDUAL (INCLUDES SELF-REFERRAL)1

11.0%10.9 %174558ALCOHOL/DRUG ABUSE CARE PROVIDER2

6.1%6.1 %97295OTHER HEALTH CARE PROVIDER3

1.0%1.0 %15613SCHOOL (EDUCATIONAL)4

0.7%0.7 %10821EMPLOYER/EAP5

11.2%11.0 %177036OTHER COMMUNITY REFERRAL6

37.0%36.5 %586685COURT / CRIMINAL JUSTICE REFERRAL /DUI/DWI

7

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LabelValue



DETAILED CRIMINAL JUSTICE REFERRALDETCRIM




This field gives more detailed information about thoseQuestion:

clients who are coded as "Criminal Justice Referral" inthe Minimum Data Set field for "Principal Source ofReferral" (PSOURCE).

- STATE/FEDERAL COURT, OTHER COURT

- PROBATION/PAROLE

- DIVERSIONARY PROGRAM (e.g. TASC)

- PRISON

- DUI/DWI

- OTHER RECOGNIZED LEGAL ENTITY, OTHER: Other recognizedlegal entities includes local law enforcement agency,corrections agency, youth services, review board/agency)

Guidelines: This field is to be used only Principal Source ofReferral in the Minimum Data Set field is coded 07, "CriminalJustice Referral." For all other Principal Source of Referralcodes (01 to 06 and missing), this field should be coded asMissing.


LabelValue

24.2%6.8 %109370STATE/FEDERAL COURT, OTHER COURT1

41.6%11.7 %188162PROBATION/PAROLE3

3.5%1.0 %15923DIVERSIONARY PROGRAM5

2.5%0.7 %11243PRISON6

8.5%2.4 %38651DUI/DWI7

19.7%5.6 %89225OTHER RECOGNIZED LEGAL ENTITY, OTHER8



NUMBER OF PRIOR TREATMENT EPISODESNOPRIOR



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Indicates the number of previous treatment episodes theQuestion:

client has received in any drug or alcohol program. Changesin service for the same episode (transfers) should not becounted as separate prior episodes.

Guidelines: It is preferred that the number of priortreatments be a self-reported field collected at thetime of client intake. However, this data item may bederived from the State data system, if the system hasthat capability, and episodes can be counted for atleast several years.


LabelValue

43.2%37.5 %603439NO PRIOR TREATMENT EPISODES0

22.0%19.1 %3074391 PRIOR TREATMENT EPISODES1




11.4%9.9 %1591955 OR MORE PRIOR TREATMENT EPISODES5



SUBSTANCE PROBLEM CODE (PRIMARY)SUB1




This field identifies the client's primary substance problem.Question:

(1) NONE

(2) ALCOHOL

(3) COCAINE/CRACK

(4) MARIJUANA/HASHISH: Includes THC and any othercannabis sativa preparations.

(5) HEROIN

(6) NON-PRESCRIPTION METHADONE

(7) OTHER OPIATES AND SYNTHETICS: Includes buprenorphine,codeine, Hydrocodone, hydromorphone, meperidine, morphine,opium, oxycodone, pentazocine, propoxyphene, tramadol, andany other drug with morphine-like effects.

(8) PCP: Phencyclidine

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(9) OTHER HALLUCINOGENS: Includes LSD, DMT, STP,hallucinogens, mescaline, peyote, psilocybin, etc.

(10) METHAMPHETAMINE

(11) OTHER AMPHETAMINES: Includes amphetamines, MDMA,phenmetrazine, and other unspecified amines andrelated drugs.

(12) OTHER STIMULANTS: Includes methylphenidate and any otherstimulants.

(13) BENZODIAZEPINES: Includes alprazolam, chlordiazepoxide,clonazepam, clorazepate, diazepam, flunitrazepam,flurazepam, halazepam, lorazepam, oxazepam, prazepam,temazepam, triazolam, and other unspecified benzodiazepines.

(14) OTHER NON-BENZODIAZEPINE TRANQUILIZERS: Includesmeprobamate, tranquilizers, etc.

(15) BARBITURATES: Includes amobarbital, pentobarbital,phenobarbital, secobarbital, etc.

(16) OTHER NON-BARBITURATE SEDATIVES OR HYPNOTICS: Includeschloral hydrate, ethchlorvynol, glutethimide, methaqualone,sedatives/hypnotics, etc.

(17) INHALANTS: Includes chloroform, ether, gasoline, glue,nitrous oxide, paint thinner, etc.

(18) OVER-THE-COUNTER MEDICATIONS: Includes aspirin, coughsyrup, diphenhydramine and other anti-histamines, sleepaids, and any other legally obtained non-prescriptionmedication.

(20) OTHER: Includes diphenylhydantoin/phenytoin, GHB/GBL,ketamine, etc.


LabelValue

1.1%1.1 %17556NONE1

40.2%40.0 %643484ALCOHOL2

13.6%13.6 %218063COCAINE/CRACK3

15.7%15.6 %251400MARIJUANA/HASHISH4

14.1%14.0 %225413HEROIN5

0.3%0.2 %4011NON-PRESCRIPTION METHADONE6

4.4%4.4 %70018OTHER OPIATES AND SYNTHETICS7

0.2%0.2 %2609PCP8

0.1%0.1 %1396OTHER HALLUCINOGENS9

8.8%8.7 %140622METHAMPHETAMINE10

0.4%0.4 %5759OTHER AMPHETAMINES11

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LabelValue

0.0%0.0 %657OTHER STIMULANTS12

0.5%0.5 %8012BENZODIAZEPINES13

0.0%0.0 %392OTHER NON-BENZODIAZEPINETRANQUILIZERS

14

0.1%0.1 %898BARBITURATES15

0.2%0.2 %3019OTHER NON-BARBITURATE SEDATIVES ORHYPNOTICS

16

0.1%0.1 %835INHALANTS17

0.0%0.0 %687OVER-THE-COUNTER MEDICATIONS18

0.3%0.3 %4432OTHER20



USUAL ROUTE OF ADMINISTRATION (PRIMARY)ROUTE1




This field identifies the usual route of administration of the primary substance.Question:


LabelValue

45.8%44.7 %718206ORAL1

32.5%31.7 %509320SMOKING2

9.3%9.1 %146368INHALATION3

12.0%11.7 %187717INJECTION (IV OR INTRAMUSCULAR)4

0.4%0.4 %6329OTHER20



FREQUENCY OF USE (PRIMARY)FREQ1




Specifies the frequency of use of the primary substance.Question:


LabelValue

28.3%27.7 %444575NO USE IN THE PAST MONTH1

12.3%12.1 %1941621-3 TIMES IN THE PAST MONTH2

9.1%8.9 %1432131-2 TIMES IN THE PAST WEEK3


38.3%37.5 %602684DAILY5


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AGE AT FIRST USE (PRIMARY)FRSTUSE1




For drugs other than alcohol, this field identifies the age at which the client first used the substanceidentified as the primary substance. For alcohol, this field records the age of the first intoxication.

Question:


LabelValue

7.4%7.3 %11694411 AND UNDER1

22.6%22.1 %35451412-142

28.3%27.7 %44523715-173

17.0%16.7 %26773118-204

9.4%9.2 %14730621-245

6.7%6.5 %10479525-296

3.8%3.7 %6007530-347

2.4%2.3 %3716135-398

1.3%1.3 %2069940-449

0.7%0.6 %1031545-4910

0.3%0.2 %401450-5411

0.1%0.1 %209355 AND OVER12



SUBSTANCE PROBLEM CODE (SECONDARY)SUB2




This field identifies the client's secondary substance problem.Question:

(1) NONE

(2) ALCOHOL

(3) COCAINE/CRACK


(5) HEROIN


(7) OTHER OPIATES AND SYNTHETICS: Includes buprenorphine,codeine, Hydrocodone, hydromorphone, meperidine, morphine,

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opium, oxycodone, pentazocine, propoxyphene, tramadol, andany other drug with morphine-like effects.














LabelValue

41.4%40.7 %654347NONE1

16.6%16.3 %262617ALCOHOL2

14.9%14.6 %234730COCAINE/CRACK3


2.1%2.0 %32731HEROIN5



0.1%0.1 %2325PCP8

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LabelValue







14



16

0.0%0.0 %757INHALANTS17


0.7%0.6 %10326OTHER20



USUAL ROUTE OF ADMINISTRATION (SECONDARY)ROUTE2




This field identifies the usual route of administration of the secondary substance.Question:


LabelValue

37.3%21.3 %343049ORAL1

44.7%25.6 %411589SMOKING2

10.8%6.2 %99423INHALATION3


0.6%0.3 %5344OTHER20



FREQUENCY OF USE (SECONDARY)FREQ2




Specifies the frequency of use of the secondary substance.Question:


LabelValue




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LabelValue


26.2%15.0 %240663DAILY5



AGE AT FIRST USE (SECONDARY)FRSTUSE2




For drugs other than alcohol, this field identifies the age at which the client first used the substanceidentified as the secondary substance. For alcohol, this field records the age of the first intoxication.

Question:


LabelValue

7.3%4.1 %6576511 AND UNDER1

23.9%13.4 %21464512-142

28.5%15.9 %25609115-173

15.8%8.8 %14190318-204

8.8%4.9 %7884121-245

6.6%3.7 %5940125-296

3.8%2.1 %3413130-347

2.5%1.4 %2216435-398

1.5%0.8 %1363940-449

0.8%0.5 %731845-4910

0.4%0.2 %321450-5411

0.2%0.1 %152655 AND OVER12



SUBSTANCE PROBLEM CODE (TERTIARY)SUB3




This field identifies the client's tertiary substance problem.Question:

(1) NONE

(2) ALCOHOL

(3) COCAINE/CRACK


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(5) HEROIN


(7) OTHER OPIATES AND SYNTHETICS: Includes buprenorphine,codeine, Hydrocodone, hydromorphone, meperidine, morphine,opium, oxycodone, pentazocine, propoxyphene, tramadol, andany other drug with morphine-like effects.














LabelValue

75.2%63.9 %1027156NONE1

5.8%5.0 %79889ALCOHOL2

5.3%4.5 %72562COCAINE/CRACK3

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LabelValue


0.9%0.8 %12564HEROIN5



0.1%0.1 %1443PCP8







14



16

0.1%0.1 %867INHALANTS17


1.0%0.9 %14155OTHER20



USUAL ROUTE OF ADMINISTRATION (TERTIARY)ROUTE3




This field identifies the usual route of administration of the tertiary substance.Question:


LabelValue

39.5%8.1 %130988ORAL1

40.3%8.3 %133739SMOKING2

13.7%2.8 %45392INHALATION3


1.1%0.2 %3571OTHER20



FREQUENCY OF USE (TERTIARY)FREQ3




Specifies the frequency of use of the tertiary substance.Question:

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LabelValue





24.0%5.0 %80625DAILY5



AGE AT FIRST USE (TERTIARY)FRSTUSE3




For drugs other than alcohol, this field identifies the age at which the client first used the substanceidentified as the tertiary substance. For alcohol, this field records the age of the first intoxication.

Question:


LabelValue

8.9%1.8 %2945711 AND UNDER1

24.4%5.0 %8089012-142

28.7%5.9 %9482515-173

15.8%3.2 %5218418-204

8.0%1.7 %2655221-245

6.0%1.2 %1973925-296

3.4%0.7 %1139930-347

2.3%0.5 %747435-398

1.4%0.3 %462240-449

0.7%0.1 %235145-4910

0.3%0.1 %101750-5411

0.1%0.0 %34255 AND OVER12



NUMBER OF SUBSTANCES REPORTED AT ADM.NUMSUBS



Calculates the number of substances (maximum of 3) reported at admission from primary, secondary,and tertiary substances of abuse (SUB1, SUB2 and SUB3).

Question:


Value

1.5%1.5 %243150

40.7%40.7 %6534431

37.1%37.1 %5965242

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Value

20.7%20.7 %3330933


CURRENT IV DRUG USE REPORTED AT ADM.IDU



-9 , -8Range of Missing Values (M):

Flags record if injection was reported as primary, secondary, or tertiary route of administration.Question:


LabelValue

86.0%84.7 %1361492NO IDU REPORTED0

14.0%13.8 %221568IDU REPORTED1

-1.5 %24315NO SUBSTANCES REPORTED-8 (M)


ALCOHOL REPORTED AT ADM.ALCFLG



Flags record if alcohol was reported as the primary, secondary, or tertiary substance of abuse at thetime of admission.

Question:


LabelValue

38.7%38.7 %622558SUBSTANCE NOT REPORTED0

61.3%61.3 %984817SUBSTANCE REPORTED1


COCAINE/CRACK REPORTED AT ADM.COKEFLG



Flags record if cocaine or crack was reported as the primary, secondary, or tertiary substance ofabuse at the time of admission.

Question:


LabelValue




MARIJUANA/HASHISH REPORTED AT ADM.MARFLG



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Flags record if marijuana or hashish were reported as the primary, secondary, or tertiary substanceof abuse at the time of admission.

Question:


LabelValue




HEROIN REPORTED AT ADM.HERFLG



Flags record if heroin was reported as the primary, secondary, or tertiary substance of abuse at thetime of admission.

Question:


LabelValue




NON-RX METHADONE REPORTED AT ADM.METHFLG



Flags record if non-prescription methadone was reported as the primary, secondary, or tertiarysubstance of abuse at the time of admission.

Question:


LabelValue




OTHER OPIATES/SYNTHETICS REPORTED AT ADM.OPSYNFLG



Flags record if other opiates or synthetics were reported as the primary, secondary, or tertiarysubstance of abuse at the time of admission.

Question:


LabelValue




PCP REPORTED AT ADM.PCPFLG



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Flags record if PCP was reported as the primary, secondary, or tertiary substance of abuse at thetime of admission.

Question:


LabelValue




OTHER HALLUCINOGENS REPORTED AT ADM.HALLFLG



Flags record if other hallucinogens were reported as the primary, secondary, or tertiary substanceof abuse at the time of admission.

Question:


LabelValue




METHAMPHETAMINE REPORTED AT ADM.MTHAMFLG



Flags record if methamphetamines were reported as the primary, secondary, or tertiary substanceof abuse at the time of admission.

Question:


LabelValue




OTHER AMPHETAMINES REPORTED AT ADM.AMPHFLG



Flags record if other amphetamines were reported as the primary, secondary, or tertiary substanceof abuse at the time of admission.

Question:


LabelValue




OTHER STIMULANTS REPORTED AT ADM.STIMFLG



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Flags record if other stimulants were reported as the primary, secondary, or tertiary substance ofabuse at the time of admission.

Question:


LabelValue




BENZODIAZEPINES REPORTED AT ADM.BENZFLG



Flags record if benzodiazepines were reported as the primary, secondary, or tertiary substance ofabuse at the time of admission.

Question:


LabelValue




OTHER NON-BENZODIAZEPINE TRANQUILIZERS REPORTED AT ADM.TRNQFLG



Flags record if other non-benzodiazepine tranquilizers were reported as the primary, secondary, ortertiary substance of abuse at the time of admission.

Question:


LabelValue




BARBITURATES REPORTED AT ADM.BARBFLG



Flags record if barbiturates were reported as the primary, secondary, or tertiary substance of abuseat the time of admission.

Question:


LabelValue




OTHER NON-BARBITURATE SEDATIVES/HYPNOTICS REPORTED AT ADM.SEDHPFLG



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Flags record if other non-barbiturate sedatives or hypnotics were reported as the primary, secondary,or tertiary substance of abuse at the time of admission.

Question:


LabelValue




INHALANTS REPORTED AT ADM.INHFLG



Flags record if inhalants were reported as the primary, secondary, or tertiary substance of abuse atthe time of admission.

Question:


LabelValue




OVER-THE-COUNTER MEDICATION REPORTED AT ADM.OTCFLG



Flags record if over-the-counter medications were reported as the primary, secondary, or tertiarysubstance of abuse at the time of admission.

Question:


LabelValue




OTHER DRUG REPORTED AT ADM.OTHERFLG




LabelValue




SUBSTANCE ABUSE TYPEALCDRUG



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Classifies client's substance abuse type as alcohol only, other drugs only, alcohol and other drugs,or none. This variable looks across primary, secondary, and tertiary substances of abuse reportedat the time of admission to treatment.

Question:


LabelValue

1.5%1.5 %24315NONE0

21.4%21.4 %344488ALCOHOL ONLY1

37.2%37.2 %598243OTHER DRUGS ONLY2

39.8%39.8 %640329ALCOHOL AND OTHER DRUGS3


DSM DIAGNOSISDSMCRIT




The diagnosis of the substance abuse problem from the AmericanQuestion:

Psychiatric Association's Diagnostic and Statistical Manual ofMental Disorders. DSM IV is preferred, but use of the thirdEdition, or ICD codes is permissible. If the DSM IV is notused, the state must specify the coding system in the statecrosswalk.

The discrete diagnosis codes have been recoded intocategories related to abuse of and dependence on specificsubstances, mental health conditions, and other conditions.


LabelValue

1.3%0.4 %7087ALCOHOL-INDUCED DISORDER1

2.2%0.7 %11962SUBSTANCE-INDUCED DISORDER2

5.8%2.0 %31853ALCOHOL INTOXICATION3

24.6%8.4 %135572ALCOHOL DEPENDENCE4

12.8%4.4 %70516OPIOID DEPENDENCE5

11.6%4.0 %64240COCAINE DEPENDENCE6

9.0%3.1 %49812CANNABIS DEPENDENCE7

9.8%3.3 %53845OTHER SUBSTANCE DEPENDENCE8

8.8%3.0 %48701ALCOHOL ABUSE9

6.0%2.1 %33117CANNABIS ABUSE10

1.2%0.4 %6852OTHER SUBSTANCE ABUSE11

0.4%0.1 %2223OPIOID ABUSE12

2.0%0.7 %11311COCAINE ABUSE13

0.3%0.1 %1407ANXIETY DISORDERS14

0.9%0.3 %4716DEPRESSIVE DISORDERS15

0.3%0.1 %1769SCHIZOPHRENIA / OTHER PSYCHOTICDISORDERS

16

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LabelValue

0.5%0.2 %2575BIPOLAR DISORDERS17

0.2%0.1 %1231ATTENTIONDEFICIT / DISRUPTIVE BEHAVIORDISORDERS

18

0.7%0.2 %3864OTHER MENTAL HEALTH CONDITION19

1.7%0.6 %9417OTHER CONDITION20



PSYCHIATRIC PROBLEM IN ADDITION TO ALCOHOL/DRUG PROBLEMPSYPROB




Indicates whether the client has a psychiatric problem in addition to his or her alcohol or drug useproblem.

Question:


LabelValue

26.6%18.9 %303841YES1

73.4%52.2 %838986NO2



HEALTH INSURANCEHLTHINS




Specifies the client's health insurance (if any). The insurance may or may not cover alcohol or drugtreatment.

Question:


LabelValue

12.7%5.3 %85435PRIVATE INSURANCE, BC/BS, HMO1

19.5%8.2 %131577MEDICAID2

6.5%2.7 %43528MEDICARE,OTHER (E.G. TRICARE,CHAMPUS)3

61.3%25.7 %412516NONE4



EXPECTED/ACTUAL PRIMARY SOURCE OF PAYMENTPRIMPAY




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Identifies the primary source of payment for this treatmentQuestion:

episode.

Guidelines: States operating under a split payment feearrangement between multiple payment sources are to defaultto the payment source with the largest percentage. Whenpayment percentages are equal, the State can select eithersource.


LabelValue

20.8%6.0 %96465SELF-PAY1

5.0%1.5 %23456BLUE CROSS/BLUE SHIELD, OTHER HEALTHINSURANCE COMPANIES

2

0.7%0.2 %3033MEDICARE, WORKER'S COMPENSATION3

14.8%4.3 %68766MEDICAID4

36.9%10.7 %171604OTHER GOVERNMENT PAYMENTS5

13.6%3.9 %63357NO CHARGE (FREE, CHARITY, SPECIALRESEARCH, TEACHING)

8

8.2%2.4 %38081OTHER9



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APPENDIX

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APPENDIX A TEDS-D Variable Information (Alphabetical Order)

Variable Source3 Type Len Start End Label

AGE MDS Num 2 13 14 AGE (RECODED)

ALCDRUG Added Num 2 116 117 SUBSTANCE ABUSE TYPE

ALCFLG Added Num 1 98 98 ALCOHOL REPORTED AT ADM.

AMPHFLG Added Num 1 107 107 OTHER AMPHETAMINES REPORTED AT ADM.

BARBFLG Added Num 1 111 111 BARBITURATES REPORTED AT ADM.

BENZFLG Added Num 1 109 109 BENZODIAZEPINES REPORTED AT ADM.

CASEID Added Num 8 1 8 CASE IDENTIFICATION NUMBER

CBSA Added Num 5 39 43 FIPS 2000 CBSA CODE

COKEFLG Added Num 1 99 99 COCAINE/CRACK REPORTED AT ADM.

DAYWAIT SuDS Num 3 56 58 DAYS WAITING TO ENTER TREATMENT

DETCRIM SuDS Num 2 66 67 DETAILED CRIMINAL JUSTICE REFERRAL

DETNLF SuDS Num 2 27 28 DETAILED 'NOT IN LABOR FORCE' CATEGORY

DISYR Added Num 4 9 12 YEAR OF DISCHARGE

DIVISION Added Num 2 50 51 CENSUS DIVISION

DSMCRIT SuDS Num 2 118 119 DSM DIAGNOSIS

EDUC MDS Num 2 23 24 EDUCATION

EMPLOY MDS Num 2 25 26 EMPLOYMENT STATUS

ETHNIC MDS Num 2 19 20 ETHNICITY (HISPANIC ORIGIN)

3 MDS = Minimum Data Set

SuDS = Supplemental Data Set

Added = Variable Added to TEDS

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FREQ1 MDS Num 2 74 75 FREQUENCY OF USE (PRIMARY)

FREQ2 MDS Num 2 82 83 FREQUENCY OF USE (SECONDARY)

FREQ3 MDS Num 2 90 91 FREQUENCY OF USE (TERTIARY)

FRSTUSE1 MDS Num 2 76 77 AGE AT FIRST USE (PRIMARY)

FRSTUSE2 MDS Num 2 84 85 AGE AT FIRST USE (SECONDARY)

FRSTUSE3 MDS Num 2 92 93 AGE AT FIRST USE (TERTIARY)

GENDER MDS Num 2 15 16 SEX

HALLFLG Added Num 1 105 105 OTHER HALLUCINOGENS REPORTED AT ADM.

HERFLG Added Num 1 101 101 HEROIN REPORTED AT ADM.

HLTHINS SuDS Num 2 122 123 HEALTH INSURANCE

IDU Added Num 2 96 97 CURRENT IV DRUG USE REPORTED AT ADM.

INHFLG Added Num 1 113 113 INHALANTS REPORTED AT ADM.

LIVARAG SuDS Num 2 33 34 LIVING ARRANGEMENTS

LOS DIS Num 3 61 63 LENGTH OF STAY

MARFLG Added Num 1 100 100 MARIJUANA/HASHISH REPORTED AT ADM.

MARSTAT SuDS Num 2 21 22 MARITAL STATUS

METHFLG Added Num 1 102 102 NON-RX METHADONE REPORTED AT ADM.

METHUSE MDS Num 2 54 55 MEDICATION-ASSISTED OPIOID THERAPY

MTHAMFLG Added Num 1 106 106 METHAMPHETAMINE REPORTED AT ADM.

NOPRIOR MDS Num 2 68 69 NUMBER OF PRIOR TREATMENT EPISODES

NUMSUBS Added Num 2 94 95 NUMBER OF SUBSTANCES REPORTED AT ADM.

OPSYNFLG Added Num 1 103 103 OTHER OPIATES/SYNTHETICS REPORTED AT ADM.

OTCFLG Added Num 1 114 114 OVER-THE-COUNTER MEDICATION REPORTED AT ADM.

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OTHERFLG Added Num 1 115 115 OTHER DRUG REPORTED AT ADM.

PCPFLG Added Num 1 104 104 PCP REPORTED AT ADM.

PMSA Added Num 4 44 47 FIPS 1990 MSA CODE

PREG SuDS Num 2 29 30 PREGNANT AT TIME OF ADMISSION

PRIMINC SuDS Num 2 35 36 SOURCE OF INCOME/SUPPORT

PRIMPAY SuDS Num 2 124 125 EXPECTED/ACTUAL PRIMARY SOURCE OF PAYMENT

PSOURCE MDS Num 2 64 65 PRINCIPAL SOURCE OF REFERRAL

PSYPROB SuDS Num 2 120 121 PSYCHIATRIC PROBLEM IN ADDITION TO ALCOHOL/DRUG PROBLEM

RACE MDS Num 2 17 18 RACE

REASON DIS Num 2 59 60 REASON FOR DISCHARGE

REGION Added Num 2 48 49 CENSUS REGION

ROUTE1 MDS Num 2 72 73 USUAL ROUTE OF ADMINISTRATION (PRIMARY)

ROUTE2 MDS Num 2 80 81 USUAL ROUTE OF ADMINISTRATION (SECONDARY)

ROUTE3 MDS Num 2 88 89 USUAL ROUTE OF ADMINISTRATION (TERTIARY)

SEDHPFLG Added Num 1 112 112 OTHER NON-BARBITURATE SEDATIVES/HYPNOTICS REPORTED AT ADM.

SERVSETD MDS Num 2 52 53 SERVICE SETTING AT DISCHARGE

STFIPS Added Num 2 37 38 CENSUS STATE FIPS CODE

STIMFLG Added Num 1 108 108 OTHER STIMULANTS REPORTED AT ADM.

SUB1 MDS Num 2 70 71 SUBSTANCE PROBLEM CODE (PRIMARY)

SUB2 MDS Num 2 78 79 SUBSTANCE PROBLEM CODE (SECONDARY)

SUB3 MDS Num 2 86 87 SUBSTANCE PROBLEM CODE (TERTIARY)

TRNQFLG Added Num 1 110 110 OTHER NON-BENZODIAZEPINE TRANQUILIZERS REPORTED AT ADM.

VET SuDS Num 2 31 32 VETERAN STATUS

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APPENDIX B Variable Recode Table

Variable Original Codes (original percentage) Recodes AGE Age (Recoded)

Continuous (12-99)

2 12-14 3 15-17 4 18-20 5 21-24 6 25-29 7 30-34 8 35-39 9 40-44 10 45-49 11 50-54 12 55 and Over

MARSTAT Marital Status

1 Never Married (59.9%) 2 Now Married (16.2%) 3 Separated (5.9%) 4 Divorced (16.5%) 5 Widowed (1.5%)

1 Never Married 2 Now Married 3 Separated 4 Divorced, Widowed

EDUC Education

Continuous 0-25

1 8 Years or Less 2 9-11 3 12 4 13-15 5 16 or More

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Variable Original Codes (original percentage) Recodes DETNLF Detailed ‘Not in Labor’ Force

1 Homemaker (2.7%) 2 Student (15.1%) 3 Retired (2.0%) 4 Disabled (16.0%) 5 Inmate of Institution (5.7%) 6 Other (58.6%)

1 Homemaker 2 Student 3 Retired, Disabled 5 Inmate of Institution 6 Other

PRIMINC Source of Income / Support

1 Wages/Salary (32.5%) 2 Public Assistance (7.4%) 3 Retirement/Pension (<1%) 4 Disability (4.3%) 20 Other (22.0%) 21 None (33.0%)

1 Wages/Salary 2 Public Assistance 3 Retirement/Pension, Disability 20 Other 21 None

PMSA FIPS 1990 MSA Code CBSA FIPS 2000 CBSA Code

Census PMSA, CBSA geographic codes Codes for undesignated area and missing data combined into a single specification. When either PMSA or CBSA describes a population less than 100,000, or one of the codes falls into the combined missing category, records are recoded into: “UNDESIGNATED AREA /MISSING/ UNKNOWN/NOT COLLECTED/ INVALID”

DETCRIM Detailed Criminal Justice Referral

1 State/Federal Court (12.2%) 2 Other Court (11.9%) 3 Probation/Parole (41.6%) 4 Other Recognized Legal Entity (5.7%) 5 Diversionary Program (3.5%) 6 Prison (2.5%) 7 DUI/DWI (8.5%) 8 Other (14.0%)

1 State/Federal Court, Other Court 3 Probation/Parole 5 Diversionary Program 6 Prison 7 DUI/DWI 8 Other Recognized Legal Entity, Other

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Variable Original Codes (original percentage) Recodes HLTHINS Health Insurance

1 Private Insurance (Other Than BC/BS or HMO) (5.9%) 2 Blue Cross / Blue Shield (BC/BS) (3.1%) 3 Medicare (1.7%) 4 Medicaid (19.6%) 6 Health Maintenance Organization (HMO) (3.6%) 20 Other (e.g. TriCare, Champus) (4.8%) 21 None (61.2%)

1 Private Insurance, BC/BS, HMO 2 Medicaid 3 Medicare/Other (e.g. Tricare, Champus) 4 None

PRIMPAY Expected / Actual Primary Source of Payment

1 Self-Pay (20.7%) 2 Blue Cross / Blue Shield (1.4%) 3 Medicare (<1%) 4 Medicaid (14.9%) 5 Other Government Payments (36.9%) 6 Worker’s Compensation (<1%) 7 Other Health Insurance Companies (3.7%) 8 No charge (Free, Charity, Special Research or Teaching) (13.6%) 9 Other (8.2%)

1 Self-Pay 2 Blue Cross / Blue Shield, Other Health Insurance Companies 3 Medicare, Worker’s Compensation 4 Medicaid 5 Other Government Payments 8 No charge (Free, Charity, Special Research or Teaching) 9 Other

FRSTUSE1 Age at First Use (Primary) FRSTUSE2 Age at First Use (Secondary) FRSTUSE3 Age at First Use (Tertiary)

Continuous (0-99)

1 11 and Under 2 12-14 3 15-17 4 18-20 5 21-24 6 25-29 7 30-34 8 35-39 9 40-44 10 45-49 11 50-54 12 55 and Over

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Variable Original Codes (original percentage) Recodes REASON Reason for Discharge

1 Treatment Completed (46.3%) 2 Left Against Professional Advice (25.7%) 3 Terminated by Facility (6.4%) 4 Transferred to Another Treatment Program or Facility (13.5%) 5 Incarcerated (2.1%) 6 Death (<1%) 7 Other (5.3%) 8 Unknown (0%) 14 Transferred to Another Treatment Program or Facility but did not Report (<1%)

1 Treatment Completed 2 Left Against Professional Advice 3 Terminated by Facility 4 Transferred to Another Treatment Program or Facility 5 Incarcerated 6 Death 7 Other 8 Unknown

LOS Length of Stay (Days)

Continuous (0-3000) 1-30 (Continuous) 31 31 To 45 Days 32 46 To 60 Days 33 61 To 90 Days 34 91 To 120 Days 35 121 To 180 Days 36 181 To 365 Days 37 More Than a Year

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Variable Original Codes (original percentage) Recodes DSMCRIT DSM Diagnosis

0.00 0 No Diagnosis

291.00 – 291.99 1 Alcohol-Induced Disorder

292.00 – 292.99 2 Substance-Induced Disorder

303.00 – 303.89 3 Alcohol Intoxication

303.90 – 303.99 4 Alcohol Dependence

304.00 – 304.09 5 Opioid Dependence

304.20 – 304.29 6 Cocaine Dependence

304.30 – 304.39 7 Cannabis Dependence

304.10 – 304.19, 304.40 – 304.99, 305.10 – 305.19

8 Other Substance Abuse Dependence

305.00 – 305.09 9 Alcohol Abuse

305.20 – 305.29 10 Cannabis Abuse

305.30 – 305.49, 305.70 – 305.99 11 Other Substance Abuse

305.50 – 305.59 12 Opioid Abuse

305.60 – 305.69 13 Cocaine Abuse

293.89, 300.00 – 300.02, 300.21 – 300.23, 300.29 – 300.39, 308.30 – 308.39, 309.81

14 Anxiety Disorders

296.20 – 296.39, 300.40 – 300.49, 311.00 – 311.09

15 Depressive Disorders

293.81 – 293.82, 295.00 – 295.99, 297.10 – 297.19, 297.30 – 297.39, 298.80 – 298.89, 298.90 – 298.99

16 Schizophrenia / Other Psychotic Disorders

296.00 – 296.09, 296.40 – 296.79, 296.80, 296.89, 301.13

17 Bipolar Disorders

312.80 – 312.81, 312.90 – 312.99, 313.81, 314.00 – 314.01, 314.90 – 314.99

18 Attention Deficit / Disruptive Behavior Disorders

All other codes 19 Other Mental Health Condition

.01 – 289.99, 320 – 997.99, V-codes, E-codes 20 Other Condition

999.97 – 999.99 -9 Missing

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Documents

Treatment Episode Data Set -- Discharges (TEDS-D), …samhda.s3-us-gov-west-1.amazonaws.com/s3fs-public/field...This codebook is for the Treatment Episode Data Set Discharges (TEDS-D)