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7/31/2014
1
Step it Up, Charleston!
Jim Neal and Dr. Diane Neal
Step it Up. Charleston! The Problem HealthIssues WorkLoss
The Idea The Execution Recruitment Instruments Process
Results Conclusions Recommendations Q and A
Sedentary Lifestyles
Definition:
doingorinvolvingalotofsitting notdoingorinvolvingmuchphysicalactivity
Consequences:
Obesity Type2diabetes Cardiacdisease
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Obesity and Health
Definitions
≥30kg/m2
>25%bodyfatinmenand30%inwomen
Consequences
HeartDisease HBP Diabetes ShortenedLifespan
Obesity, Diabetes, and Insulin Use
Diabetes
Type1 Type2
Management
Diet Exercise Pills Shots
Walking for Health
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The Problem
Lost Equipment Operators
05101520253035404550
2008 2009 2010 2011 2012 2008‐2012
Start
Finish
Causes of Losses
MedicalCauses
Diabetes
DiabeteswithInsulin
HBP/Stroke
Back
Costs of Losses: Financial
Pay out costs: Severance,A/L,Insurance:Average:$35,000
Lost time Generally3‐4monthstorehire:Average:$21,000
Rehire costs: Over $1000 Advertisement testingandevaluation
Productivity losses Skillsetlost: Knowledgeloss: Trainingcosts:$4000– 10,000dependingonskilllevel
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Costs: Emotional and Personal
Disruptions to the work group
Lostefficiency Crew Department
Effects on morale
Extraworkfortheremainingteam Trainingthenewguy Pickinguptheslack
Idea
Background
Initial conversation
Development of Idea
Theories
Behaviorchange Incentives Teams
How Applied
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R Q Process, Attitude, and Exercise
Percent Completion
Changes in Attitude towards Exercise
Changes in Steps
Changes in Exercise Patterns
RQ Associations Changes in Steps related to BMI, Age, Job Category, Crew
Changes in Exercise Attitude related to BMI, Age, Job Category, Crew
Changes in Exercise Behavior related to BMI, Age, Job Category, Crew
Changes in Steps and Attitude
Changes in Steps and Patterns
Changes in Attitude and Patterns
Flowchart
Wrap‐up
Follow‐upsurveyandcheckup Awards
PilotStudy
3months(13weeks) WeeklyrecordedSteps
Recruitment
Informedconsent Initialsurveyandcheckup
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Stakeholders
County/Citizens/Taxpayers
Public Works Department
Human Resources
staff WellnessCommittee
Employees
Employees’ families
Co‐Workers
The Process
Approval of Leadership
Procurement of Pedometers
Establish Goals, Milestones, and incentives
Coordination with outside agencies
HealthandWellnesscommittee(HR) SafetyandRiskManagement CountyOccupationalHealth
Kick off
The Process (continued)
Data Collection
Recognition
Weeklyannouncements–posters,emails
Monthlymeetings–distributionofawardsandprizes.
Closing Ceremony
Cookout Trophies
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First and Last Week
Completion
ComputationofFinalTotalsandChanges(Steps)
Healthsurvey Biometricreading Height Weight BP
Kick off
Distributionofpedometersandcalibration
Healthsurvey Biometricreading
Height Weight BP
The Survey Questionnaire
3 questions about current levels of exercise
11 questions asking intensity of responses 0 (not true) through 4 (very true) to positives about exercise
4 questions asking intensity of response to negatives about exercise
4 questions asking intensity of response to questions about pressure to exercise
Data Collection Weeks 2 ‐ 12
Crews CrewMembersprovidePedometerstoForeman/Leadperson
Previous7daysstepscountstakenmanuallyfromPedometer,crewmembernotesdiscrepancies
Foreman SubmitdataonThursdaytocollectors Followuponproblems
Collectors Process ErrorCheck ResolvedataissueswithForeman/Crew
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Description of Participants
Average Age 44
Average BMI 32.3
Average Systolic BP 131
Average Diastolic BP 83
Average Exercise Status
Before intervention 50%
Average Attitude towards
Exercise Before Intervention 48%
Participants by Job Category
Jobs assigned to 4 categories:
1
2917
9
Sales
Administrative
EquipmentOperators
MaintenanceWorkers
Technicians
Results: Percent Completion
40
42
44
46
48
50
52
54
56
1 2 3 4 5 6 7 8 9 10 11 12 13
Participants
WeekofStudy
Thanksgiving
89%Completed
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Results: Changes in Attitude towards Exercise
From Survey Questionnaire
Exercise Attitude Percent= (positive responses – negative responses) / maximum score (44)
Pre‐Intervention: 47.7%
Post‐Intervention: 53.1%
Difference: 5.4%
Results: Changes in Average Daily Steps
Due to dropouts, late starters, and missing values, used first and last full week of steps to compute the change for each participant.
First: Average 12718 Daily Steps
Last: Average 14155 Daily Steps
Difference: Increase of 1436 Daily Steps
Results: Changes in Exercise Patterns
Exercise Patterns= (Strenuous time*5) + (Moderate*3) + (Mild * 1)/ maximum score (Daily 15 minutes of all 3 levels = 63)
Pre‐Intervention: 51.6%
Post‐Intervention: 48.2% ???
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Results: Associations of Changes in Attitude
UsedBivariateCorrelationstolookforAssociations
Age:Nocorrelationbetweenageandchangesinattitudefrompretopostintervention
BMI:NocorrelationbetweenBMIpre‐interventionandchangesinattitudefrompretopostintervention.
Results: Associations of Changes in Steps
BMI:Therewasaweakpositiveassociation,soasBMIincreasedsodidthechangeinsteps
Age:Therewasaweaknegativeassociation,soasageincreasedthechangeinstepsdecreased.
Results: Associations of Changes in Exercise Patterns
BMI:Therewasaweakpositiveassociation,soasBMIincreasedsodidthechangeinexercisepatterns
Age:Therewasaweaknegativeassociation,soasageincreasedthechangeinexercisepatternsdecreased
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Results: Job Category and Changes in Attitude, Steps, and Exercise Patterns
JobCategory:
JobCategory Attitude Steps ExercisePatterns
Pre Post Pre Post Pre Post
EquipmentOperators
0.50 0.55 17561 22012 0.54 0.49
MaintenanceWorkers
0.43 0.51 8344 6840 0.48 0.46
Technicians 0.46 0.49 6795 5562 0.45 0.46
Thechangeinstepsforequipmentoperatorswasanincreaseofanaverageof4452dailystepsperweek.
Results: Additional Associations
AssociationofChangesinStepsandExercisePatterns:Aweakpositiveassociation– asstepsincreasedsodidexercisestatusasmeasuredbythequestionnaire
AssociationofChangesinStepsandAttitude:Nocorrelation
AssociationofChangesinAttitudeandExercisePatterns:Aweaknegativeassociation– asattitudeincreased,exercisebehaviordecreased
Results: Morale
Increase in Department Morale
Biggest Elements of Change: Communicationsbetweencamps,crews,andteams
Increasedsenseofteam Betterperformance Increasedsenseofpride BetterimageofPublicWorks Recognitionbypeers Buyin– manystillusetheirpedometers
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Conclusions: The Process
To improve or change:
Dayoffincentives Teamincentives Betterpedometer(electronicdatacapture) Betterinterimincentives Widervarietyofincentivestoincreaseparticipation(morethan1winner)
Distributedleaders(separatefromforeman) Patches,badges,orotherrecognitionthatmaybedisplayed
Conclusions: Changes in Steps
The target (operators) had the most change
Thereisevidencethattheyseetheneed,butneedmotivation
Crewleadercompetitivenessanddrivemakesthebiggestdifference
The right incentives are vital
Adayoff(withpay)wasamuchbiggermotivatorthanwehadhypothesized
Incentivesarenot“onesizefitsall”
Conclusions: Changes in Attitude towards Exercising
Program lead to greater awareness of health issues and how they could positively affect their health
Showed them they could do it
It was not just work
That even the most out of shape employees will try to improve if given incentives
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Conclusions: Changes in Exercise Patterns
MoreparticipationinCountyWellnessprograms
Ifyougivethemapedometer,theywillgenerallycontinuetouseit,evenaftertheprogramends
Lowerscoresafterinterventionmaybeduetoanincreasedunderstandingofwhatexerciseis
Conclusions: Morale
Competitionenhancescrewanddepartmentmorale
ProgramssuchasStepItupCharleston!demonstratecaring
ProgramssuchasStepItupCharleston!canhelptoimproveefficiencyandreducecosts
Recommendations DO IT! Developaprogramthatfitsyourunit Incentivesmustbetailoredtotheworkforce Involvestaffintheplanningearlyon
Trackprogress/DataCollection KIS(S) Frequentchecks
KeepuptheEnergy!(realchangetakestime) Get Support!! Leadership Stakeholders Yourstaff
Believe!!!
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Q and A
What are your questions??