consumer directed health plans and patient activation judith hibbard jessica greene martin tusler...
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Consumer Directed Health Consumer Directed Health Plans and Patient ActivationPlans and Patient Activation
Judith HibbardJudith HibbardJessica GreeneJessica Greene
Martin TuslerMartin TuslerUniversity of OregonUniversity of Oregon
Funding Provided by the Robert Wood Funding Provided by the Robert Wood Johnson Foundation through the HCFO Johnson Foundation through the HCFO
InitiativeInitiative
A Key Assumption is that CDHPs will A Key Assumption is that CDHPs will activate consumers to become better activate consumers to become better managers of their health and health care.managers of their health and health care.
Emerging Evidence Suggests that Emerging Evidence Suggests that Consumers do change Behavior in a Consumers do change Behavior in a
CDHPCDHP
Seek out informationSeek out information
Increase use of preventive careIncrease use of preventive care
Reduce utilizationReduce utilization
Cease chronic disease medicationsCease chronic disease medications
Specific Research Questions:Specific Research Questions:
Do the more activated choose a CDHP?Do the more activated choose a CDHP?
Do those in a CDHP become more activated Do those in a CDHP become more activated over time?over time?
Are the more activated more likely to engage in Are the more activated more likely to engage in health promoting behaviors? More likely to adopt health promoting behaviors? More likely to adopt new health promoting behaviors?new health promoting behaviors?
Are the more activated less likely to engage in Are the more activated less likely to engage in unproductive behaviors? Less likely to adopt unproductive behaviors? Less likely to adopt new unproductive behaviors?new unproductive behaviors?
Measuring ActivationMeasuring Activation
Patient Activation Measure assesses Patient Activation Measure assesses knowledge, skills, and confidence for knowledge, skills, and confidence for managing health and health caremanaging health and health care
Developed using qualitative methods, Developed using qualitative methods, classical test theory, and Rasch analysis. classical test theory, and Rasch analysis. The resulting metric, is a unidimensional, The resulting metric, is a unidimensional, interval level, Guttman-style measure with interval level, Guttman-style measure with strong psychometric properties.strong psychometric properties.
DataData
Mixed mode survey (2004 and 2005) from Mixed mode survey (2004 and 2005) from employees offered CDHP and PPO plans in employees offered CDHP and PPO plans in 2004 (n=2104) response rate 79%; 2005 2004 (n=2104) response rate 79%; 2005 (n=1616) response rate 80% (n=1616) response rate 80%
Collapsed high deductible and low deductible Collapsed high deductible and low deductible CDHP in this analysisCDHP in this analysis
Analysis compares the PPO enrollees with those Analysis compares the PPO enrollees with those who opted into the CDHPwho opted into the CDHP
Favorable Selection into CDHPFavorable Selection into CDHP
Fewer Chronic ConditionsFewer Chronic Conditions
Lower Medical ClaimsLower Medical Claims
Lower Pharmacy ClaimsLower Pharmacy Claims
Better EducatedBetter Educated
Those who are More Activated More likely to Those who are More Activated More likely to Enroll in a CDHPEnroll in a CDHP
PAM score by plan type PAM score by plan type
60.5
61
61.5
62
62.5
63
63.5
64
64.5
2004***
PPO
CDHP
Key: *** p < .001
Activation Did Not Change Significantly for Activation Did Not Change Significantly for CDHP or PPO enrollees from 2004-05CDHP or PPO enrollees from 2004-05
6060.5
6161.5
6262.5
6363.5
6464.5
65
Activation Score
PPO CDHP
2004
2005
Key: Differences are not significant, Paired-Samples t-test
Information Seeking by Plan Type Information Seeking by Plan Type Plan type with higher likelihood of behaviorPlan type with higher likelihood of behavior
BehaviorBehavior 20042004 20052005
Used any health websiteUsed any health website CDHP***CDHP*** CDHP**CDHP**
Used a telephone advice nurseUsed a telephone advice nurse NSNS NSNS
Was persistent in asking doctor to Was persistent in asking doctor to explain questionsexplain questions
NSNS NSNS
Key: * p < .05, *** p < .001
Behaviors by Plan Type Behaviors by Plan Type Plan type with higher likelihood of behavior Plan type with higher likelihood of behavior
Risky Cost Saving BehaviorsRisky Cost Saving Behaviors 20042004 20052005
Didn't go to doctor to save money Didn't go to doctor to save money PPO*PPO* PPO*PPO*
Took lower dose to save money Took lower dose to save money NSNS NSNS
Did not fill prescription to save money Did not fill prescription to save money NSNS NSNS
Healthy BehaviorsHealthy Behaviors
Limited fat in diet Limited fat in diet CDHP***CDHP*** NSNS
ExercisedExercised CDHP***CDHP*** NSNS
Ate 5 daily servings of fruits or Ate 5 daily servings of fruits or vegetablesvegetables
NSNS NSNS
Key: * p < .05, *** p < .001
Multivariate Analysis: Information Seeking by PAM Multivariate Analysis: Information Seeking by PAM Score in 2004Score in 2004
Key: * p < .05, ** p < .01, *** p < .001, Controlling for Education, Income, Age, Health, job type, gender, and survey mode
PPO CDHP
Legend: Did not do the behavior
Did the behavior
50
55
60
65
70
Used any healthwebsite
Used a telephoneadvice nurse**
Was persistent inasking doctor to
explainquestions***
50
55
60
65
70
Used any healthwebsite*
Used a telephoneadvice nurse
Was persistent inasking doctor to
explainquestions***
Multivariate Analysis:Multivariate Analysis:Risky Cost-Saving Behaviors by PAM score in 2004Risky Cost-Saving Behaviors by PAM score in 2004
50
55
60
65
70
Didn't go to doctorto save money
Took lower dose tosave money
Did not fillprescription to save
money
50
55
60
65
70
Didn't go to doctorto save money
Took lower dose tosave money
Did not fillprescription to save
money
PPO CDHP
Legend: Did not do the behavior
Did the behaviorControlling for Education, Income, Age, Health, job type, gender, and survey mode
Multivariate Analysis: Multivariate Analysis: Healthy Behaviors by PAM score in 2004Healthy Behaviors by PAM score in 2004
Key: * p < .05, ** p < .01, *** p < .001 Controlling for Education, Income, Age, Health, job type, gender, and survey mode
PPO CDHP
Legend: Did not do the behavior
Did the behavior
50
55
60
65
70
Limited fat in diet** Exercised* Ate 5 daily servingsof fruits orvegetables
50
55
60
65
70
Limited fat in diet*** Exercised*** Ate 5 daily servingsof fruits or
vegetables***
45
50
55
60
65
70
75
Used any healthwebsite***
Used a telephoneadvice nurse***
Was persistent inasking doctor to
explain questions
45
50
55
60
65
70
75
Used any healthwebsite
Used a telephoneadvice nurse
Was persistent inasking doctor to
explainquestions**
Multivariate Analysis:Multivariate Analysis:New Information Seeking by PAM score in 2005New Information Seeking by PAM score in 2005
Key: * p < .05, ** p < .01, *** p < .001, Controlling for Education, Income, Age, Health, job type, gender, and survey mode
PPO CDHP
Legend: Did not adopt the behavior
Adopted the behavior
25 67295 983286 616
50
55
60
65
70
Didn't go to doctorto save money
Took lower dose tosave money
Did not fillprescription to save
money
50
55
60
65
70
Didn't go to doctorto save money
Took lower dose tosave money
Did not fillprescription to save
money
Multivariate Analysis:Multivariate Analysis:New Risky Cost-saving Behaviors by PAM score in 2005New Risky Cost-saving Behaviors by PAM score in 2005
PPO CDHP
Legend: Did not adopt the behavior
Adopted the behaviorControlling for Education, Income, Age, Health, job type, gender, and survey mode
327 1075340 1133322 1013
50
55
60
65
70
Limited fat in diet* Exercised** Ate 5 daily servingsof fruits orvegetables
50
55
60
65
70
Limited fat in diet** Exercised Ate 5 daily servingsof fruits or
vegetables*
Multivariate Analysis:Multivariate Analysis:New Healthy Behaviors by PAM score in 2005New Healthy Behaviors by PAM score in 2005
Key: * p < .05, ** p < .01 Controlling for Education, Income, Age, Health, job type, gender, and survey mode
PPO CDHP
Legend: Did not adopt the behavior
Adopted the behavior
235 737186 578193 586
Activation As a Predictor of Activation As a Predictor of Information Seeking BehaviorsInformation Seeking Behaviors
BehaviorBehavior 20042004 20052005
Used any health websiteUsed any health website ** ****Used a telephone advice nurseUsed a telephone advice nurse **** ****Was persistent in asking doctor to explain Was persistent in asking doctor to explain ****** ******
KEY: Based on Logistic Regressions controlling for Education, Income, Age, Self-reported Health, Gender, Hourly/Salaried, Plan Type, and Survey Mode
Activation as a Predictor of Behavioral Activation as a Predictor of Behavioral AdoptionAdoption
KEY: Based on Logistic Regressions controlling for Education, Income, Age, Self-reported Health, Gender, Hourly/Salaried, Plan Type, and Survey Mode
Risky Cost Saving BehaviorsRisky Cost Saving Behaviors 20042004 20052005
Didn't go to doctor to save money Didn't go to doctor to save money NSNS NSNS
Took lower dose to save money Took lower dose to save money NSNS NSNS
Did not fill prescription to save money Did not fill prescription to save money NSNS NSNS
Healthy BehaviorsHealthy Behaviors
Limited fat in diet Limited fat in diet ****** ******ExercisedExercised ****** ****Ate 5 daily servings of fruits or vegetablesAte 5 daily servings of fruits or vegetables ****** ****
SummarySummary
Those more activated more likely to enroll Those more activated more likely to enroll in a CDHPin a CDHPExperience in a CDHP does not appear to Experience in a CDHP does not appear to increase activationincrease activationActivation is related to many of the Activation is related to many of the behaviors encouraged by health plans, behaviors encouraged by health plans, this is true regardless of plan designthis is true regardless of plan designCDHP’s good choice for those already CDHP’s good choice for those already activatedactivated