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The effects of survey version on patient experience scores and plan rankings.
Beckett, Megan K; Elliott, Marc N; Burkhart, Q; Cleary, Paul D; Orr, Nate; Brown, Julie A; Gaillot, Sarah; Liu, Karin; Hays, Ron D.
Affiliation
  • Beckett MK; RAND Corporation, Santa Monica, California.
  • Elliott MN; RAND Corporation, Santa Monica, California.
  • Burkhart Q; RAND Corporation, Santa Monica, California.
  • Cleary PD; School of Public Health, Yale University, New Haven, Connecticut.
  • Orr N; RAND Corporation, Santa Monica, California.
  • Brown JA; RAND Corporation, Santa Monica, California.
  • Gaillot S; Centers for Medicare & Medicaid Services, Baltimore, Maryland.
  • Liu K; RAND Corporation, Santa Monica, California.
  • Hays RD; RAND Corporation, Santa Monica, California.
Health Serv Res ; 54(5): 1016-1022, 2019 10.
Article in En | MEDLINE | ID: mdl-31149737
ABSTRACT

OBJECTIVE:

To assess the effect of changing survey questions on plan-level patient experience measures and ratings. DATA SOURCE 2015 Medicare Advantage CAHPS Survey respondents. STUDY

DESIGN:

Ninety three randomly selected beneficiaries in each of 40 MA plans received a revised (5.0) CAHPS survey; 38 832 beneficiaries received version 4.0. Linear mixed-effect regression predicted CAHPS measures from fixed effects for survey version and beneficiary characteristics and random effects for plan and plan-by-version random slope. PRINCIPAL

FINDINGS:

Response rates were 42 percent for both versions. Removal of "try to" from screeners increased the percentage of respondents eligible for follow-up questions. Version 5.0 caused a small increase (1-3 points on a 0-100 scale, P < 0.05) in the mean of three altered measures and a moderate increase (>3 points) in one. There was a small statistically significant increase in two unaltered measures. These changes were uniform across plans, so there would be no expected change compared to results using the legacy survey in the score distributions other than uniform mean shifts, and no expected effect on summary measures.

CONCLUSIONS:

These analyses illustrate how to assess the impact of seemingly minor survey modifications for other national surveys considering changes and highlight the importance of screeners in instrument design.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality of Health Care / Patient Satisfaction / Health Care Surveys / Medicare Part C Type of study: Prognostic_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: Health Serv Res Year: 2019 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality of Health Care / Patient Satisfaction / Health Care Surveys / Medicare Part C Type of study: Prognostic_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: Health Serv Res Year: 2019 Document type: Article