BACKGROUND: Patient activation status (PAS) can be identified using the Medicare Segmentation Screening Tool, a 2-item measure assessing patients' health skills and motivation to participate in their own care. OBJECTIVE: To determine whether PAS is predictive of Medicare beneficiary health care experiences with health providers and insurance plans after case-mix adjustment. RESEARCH DESIGN: Linear regression models examined the association between PAS and evaluations of care after case-mix adjustment in observational cross-sectional data. SUBJECTS: 236,322 Medicare beneficiaries with at least one prescription medication responding to the Medicare Segmentation Screening Tool items on the 2007 Medicare Consumer Assessment of Healthcare Providers and Systems Survey. MEASURES: Four-category patient activation category; 11 patient-reported evaluations of health care and providers and 2 self-reported immunization measures. RESULTS: PAS was strongly predictive of beneficiary experience beyond case-mix adjustment. Even after case-mix adjustment, active beneficiaries consistently reported the most positive experiences, followed by complacent beneficiaries, with differences of 0.2 to 0.4 standard deviations for 4 of 5 composite measures of patient experience (P < 0.05). Adjusted immunization rates for flu and pneumonia were highest for active beneficiaries, followed closely by high-effort beneficiaries. The rates for these 2 segments were 10 percentage points higher than for complacent and passive beneficiaries. CONCLUSIONS: PAS may be an important determinant of health care experiences. More confident respondents (active and complacent) give higher ratings of their care and providers, suggesting that they have more favorable experiences. Respondent motivation (high for active and high effort) seems to be a factor in receiving preventive care.
BACKGROUND:Patient activation status (PAS) can be identified using the Medicare Segmentation Screening Tool, a 2-item measure assessing patients' health skills and motivation to participate in their own care. OBJECTIVE: To determine whether PAS is predictive of Medicare beneficiary health care experiences with health providers and insurance plans after case-mix adjustment. RESEARCH DESIGN: Linear regression models examined the association between PAS and evaluations of care after case-mix adjustment in observational cross-sectional data. SUBJECTS: 236,322 Medicare beneficiaries with at least one prescription medication responding to the Medicare Segmentation Screening Tool items on the 2007 Medicare Consumer Assessment of Healthcare Providers and Systems Survey. MEASURES: Four-category patient activation category; 11 patient-reported evaluations of health care and providers and 2 self-reported immunization measures. RESULTS:PAS was strongly predictive of beneficiary experience beyond case-mix adjustment. Even after case-mix adjustment, active beneficiaries consistently reported the most positive experiences, followed by complacent beneficiaries, with differences of 0.2 to 0.4 standard deviations for 4 of 5 composite measures of patient experience (P < 0.05). Adjusted immunization rates for flu and pneumonia were highest for active beneficiaries, followed closely by high-effort beneficiaries. The rates for these 2 segments were 10 percentage points higher than for complacent and passive beneficiaries. CONCLUSIONS:PAS may be an important determinant of health care experiences. More confident respondents (active and complacent) give higher ratings of their care and providers, suggesting that they have more favorable experiences. Respondent motivation (high for active and high effort) seems to be a factor in receiving preventive care.
Authors: Marc N Elliott; Amelia M Haviland; Nate Orr; Katrin Hambarsoomian; Paul D Cleary Journal: Health Serv Res Date: 2011-02-09 Impact factor: 3.402
Authors: Steven C Martino; Marc N Elliott; David E Kanouse; Donna O Farley; Q Burkhart; Ron D Hays Journal: Health Serv Res Date: 2011-07-15 Impact factor: 3.402
Authors: Amelia M Haviland; Marc N Elliott; Robert Weech-Maldonado; Katrin Hambarsoomian; Nate Orr; Ron D Hays Journal: Med Care Date: 2012-11 Impact factor: 2.983
Authors: Jamile Ashmore; Rennie Russo; Jennifer Peoples; John Sloan; Bradford E Jackson; Sejong Bae; Karan P Singh; Steven N Blair; David Coultas Journal: Contemp Clin Trials Date: 2013-05-13 Impact factor: 2.226