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Fábio Leite Gastal: Chief Medical Operations of Mãe de Deus Hospital & Health System Mario Hideo Kono: Medical Director of Hospital Estadual de Diadema Nacime Salomão Mansur: SPDM External Hospitals Controller Marcelo Neubauer de Paula: Project Director of Value Health Company Risk Adjustment for DRG-Case Mix for Performance Evaluation of “Hospital Estadual de Diadema” (São Paulo)

Risk Adjustment for DRG-Case Mix for Performance Evaluation of “Hospital Estadual de Diadema” (São Paulo)

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Fábio Leite Gastal: Chief Medical Operations of Mãe de Deus Hospital & Health System

Mario Hideo Kono: Medical Director of Hospital Estadual de Diadema

Nacime Salomão Mansur: SPDM External Hospitals Controller

Marcelo Neubauer de Paula: Project Director of Value Health Company

Risk Adjustment for DRG-Case Mix for

Performance Evaluation of “Hospital

Estadual de Diadema” (São Paulo)

Risk Adjustment for DRG-Case Mix for

Performance Evaluation of Diadema State

Hospital

Estadual de

Hospital

Diadema

Performance Evaluation using Stratified Risk

Adjustment by DRG (Diagnosis Related Groups)

Introduction:

60’s / Yale University developed DRG patient classification process

80’s / Medicare, Medicaid and HMO´s (US) DRG as a payment system

80’s / First Brazilian DRG study from State University Hospital from São

Paulo in Riberão Preto

80’s & 90’s / European Countries adopted the DRG System for hospital

performance evaluation and risk management

2004 / DRG Study was carried out in 14 State Public Hospitals in São

Paulo, Brazil (Internal Benchmarking)

2007 / First study for a private company (HMO): 190,000 hospital

admissions, 56 Hospitals (Internal Benchmarking)

2010 / DRG study at SPDM (São Paulo State Society for Medicine

Development) Hospital Network (7 facilities). Risk evaluation and clinical

quality indicators were done by DRG case mix classification with external

benchmarking (65 facilities and 1.47 million hospital admissions).

Objectives

Hospital Evaluation using Risk Adjustment stratified by DRG

Case: “Diadema State Hospital”

Coding Systems used in Brazil

For diseases:

• ICD – 10

For procedures:

Public Health Services:

• SUS procedures table

Private Health Services:

• CBHPM - Brazilian Classification of Procedures

Methods:

External Benchmarking (65 Public Hospitals): 1.47 million

hospital admissions, 2009/2010

Database: Tab Win – Brazilian National Health System

Database

Stratification by AP-DRG 23

Case Mix Classification by Mortality and Length of Stay (LOS)

Defined Real Values and Ideal Values for Mortality and Length

of Stay (LOS) based on Hospital Case Mix Methodology

Results on the table charts:

Real Length of Stay vs Estimated Length of Stay (LOS)

DRGs with better impact on Length of Stay control.

Real Mortality vs Estimated Mortality

DRGs with better impact on Mortality control.

Length of Stay (LOS)

3

3,5

4

4,5

5

2009 2010

Len

gth

of

Sta

y

(days)

Real Expected

The results show that the Length of Stay in HED was significantly shorter than expected.

DRGs with Great Impact on reducing

Length of Stay (LOS) - 2009

N: Number of hospital admissions

Real: Real Length of Stay (LOS - days)

Expected: Length of Stay (LOS) that HED had to be if its performance is the same of the Case Mix for each DRG

Difference: Real – Expected

Impact: Difference vs N

AP-DRG Description n Real Expected Difference Impact

268 SKIN,SUBCUT TISSUE,BREAST PLASTIC PROC 891 1,1 3,6 -2,5 -2227,5

618 BWT 2000-2499G W/O SIG OR PR W MAJ PROB 561 8,7 11,9 -3,2 -1795,2

266 SKN GRFT,DEBRID EX SKN ULCR,CELLUL WO CC 641 1,4 3,5 -2,1 -1346,1

771 RSP INFCT,INFL X SIMP PNEUM AGE<18 WO CC 376 5,4 6,4 -1,0 -376

80 RSP INFCT,INFL X SIMP PNEUM AGE>17 WO CC 149 7,2 9,3 -2,1 -312,9

373 VAGINAL DELIVERY W/O COMPLIC DIAGNOSES 1278 2,6 2,8 -0,2 -255,6

867 LOC INC&REM INT FIX DEV EX HIP&FEM WO CC 266 2,1 3,0 -0,9 -239,4

769 SEIZURE & HEADACHE AGE 0-17 W/O CC 204 3,1 4,1 -1,0 -204

77 OTHER RESP SYSTEM O.R. PROCEDURES W/O CC 64 8,2 11,0 -2,8 -179,2

270 OTH SKIN,SUBCUT TISS,BREAST PROC W/O CC 94 1,5 3,3 -1,8 -169,2

DRGs with Great Impact on reducing

Length of Stay (LOS) - 2010

N: Number of admissions

Real: Real Length of Stay (LOS - days)

Expected: Length of Stay (LOS) that HED had to be if its performance is the same of the Case Mix for each DRG

Difference: Real – Expected

Impact: Difference vs N

AP-DRG Description n Real Expected Difference Impact

618 BWT 2000-2499G W/O SIG OR PR W MAJ PROB 834 8,5 11,8 -3,3 -2752,2

266 SKN GRFT,DEBRID EX SKN ULCR,CELLUL WO CC 1282 1,1 3,3 -2,2 -2820,4

268 SKIN,SUBCUT TISSUE,BREAST PLASTIC PROC 238 1,1 3,5 -2,4 -571,2

769 SEIZURE & HEADACHE AGE 0-17 W/O CC 270 2,3 3,7 -1,4 -378

77 OTHER RESP SYSTEM O.R. PROCEDURES W/O CC 110 8,1 11,2 -3,1 -341

270 OTH SKIN,SUBCUT TISS,BREAST PROC W/O CC 107 1,7 3,4 -1,7 -181,9

189 OTHER DIGESTIVE SYSTEM DX AGE >17 W/O CC 156 2,9 4,0 -1,1 -171,6

423 OTH INFECTIOUS & PARASITIC DIS DIAGNOSES 142 8,2 9,2 -1,0 -142

158 ANAL & STOMAL PROCEDURES W/O CC 78 1,8 3,5 -1,7 -132,6

867 LOC INC&REM INT FIX DEV EX HIP&FEM WO CC 221 2,3 2,9 -0,6 -132,6

Mortality

0

0,5

1

1,5

2

2,5

3

3,5

2009 2010

Real Expected

The results of Mortality in HED was significantly lower than expected.

%

DRGs with Great Impact to reduce

Mortality - 2009

N: Number of admissions

Real: Mortality Tax (%)

Expected: Mortality that HED had to be if its performance is the same of the Case Mix for each DRG

Difference: Real – Expected

Impact: Difference vs N

AP-DRG Description n Real Expected Difference Impact

618 BWT 2000-2499G W/O SIG OR PR W MAJ PROB 561 1,1% 5,2% 0,0 -23,001

423 OTH INFECTIOUS & PARASITIC DIS DIAGNOSES 113 8,0% 21,6% -0,1 -15,368

189 OTHER DIGESTIVE SYSTEM DX AGE >17 W/O CC 135 0,0% 5,7% -0,1 -7,695

88 CHRONIC OBSTRUCTIVE PULMONARY DISEASE 196 0,5% 4,4% 0,0 -7,644

761 TRAUMATIC STUPOR & COMA,COMA > 1 HR 82 9,8% 16,6% -0,1 -5,576

422 VIRAL ILL,FEVER OF UNKNWN ORIG AGE 0-17 18 16,7% 46,7% -0,3 -5,4

80 RSP INFCT,INFL X SIMP PNEUM AGE>17 WO CC 149 12,8% 16,1% 0,0 -4,917

268 SKIN,SUBCUT TISSUE,BREAST PLASTIC PROC 891 0,0% 0,5% 0,0 -4,455

127 HEART FAILURE & SHOCK 76 10,5% 16,8% -0,1 -4,788

475 RESPIRATORY SYSTEM DIAGNOSIS W VENTILATOR SUPPORT 14 14,3% 43,8% -0,3 -4,13

DRGs with Great Impact to reduce

Mortality - 2010

N: Number of admissions

Real: Mortality Tax (%)

Expected: Mortality that HED had to be if its performance is the same of the Case Mix for each DRG

Difference: Real – Expected

Impact: Difference vs N

AP-DRG Description n Real Expected Difference Impact

618 BWT 2000-2499G W/O SIG OR PR W MAJ PROB 834 0,8% 4,9% 0,0 -34,194

423 OTH INFECTIOUS & PARASITIC DIS DIAGNOSES 142 9,9% 21,9% -0,1 -17,04

189 OTHER DIGESTIVE SYSTEM DX AGE >17 W/O CC 156 0,6% 5,5% 0,0 -7,644

127 HEART FAILURE & SHOCK 75 9,3% 16,6% -0,1 -5,475

77 OTHER RESP SYSTEM O.R. PROCEDURES W/O CC 110 8,2% 13,0% 0,0 -5,28

88 CHRONIC OBSTRUCTIVE PULMONARY DISEASE 193 2,1% 4,5% 0,0 -4,632

810 INTRACRANIAL HEMORRHAGE 27 14,8% 30,9% -0,2 -4,347

422 VIRAL ILL,FEVER OF UNKNWN ORIG AGE 0-17 23 26,1% 44,4% -0,2 -4,209

206 DISOR LIVER EX MALIG,CIRR,ALC HEPA WO CC 71 2,8% 8,0% -0,1 -3,692

268 SKIN,SUBCUT TISSUE,BREAST PLASTIC PROC 638 0,0% 0,5% 0,0 -3,19

Conclusions

Stratification by DRG can show hospital performance

comparing actual with expected results.

The Length of Stay (LOS) and mortality in HED were reduced

when compared with the expected results and presenting

improvement of the hospital performance.