Patterns of unit and item nonresponse in the CAHPS Hospital Survey.

Abstract:

OBJECTIVE:To examine the predictors of unit and item nonresponse, the magnitude of nonresponse bias, and the need for nonresponse weights in the Consumer Assessment of Health Care Providers and Systems (CAHPS) Hospital Survey. METHODS:A common set of 11 administrative variables (41 degrees of freedom) was used to predict unit nonresponse and the rate of item nonresponse in multivariate models. Descriptive statistics were used to examine the impact of nonresponse on CAHPS Hospital Survey ratings and reports. RESULTS:Unit nonresponse was highest for younger patients and patients other than non-Hispanic whites (p<.001); item nonresponse increased steadily with age (p<.001). Fourteen of 20 reports of ratings of care had significant (p<.05) but small negative correlations with nonresponse weights (median -0.06; maximum -0.09). Nonresponse weights do not improve overall precision below sample sizes of 300-1,000, and are unlikely to improve the precision of hospital comparisons. In some contexts, case-mix adjustment eliminates most observed nonresponse bias. CONCLUSIONS:Nonresponse weights should not be used for between-hospital comparisons of the CAHPS Hospital Survey, but may make small contributions to overall estimates or demographic comparisons, especially in the absence of case-mix adjustment.

journal_name

Health Serv Res

journal_title

Health services research

authors

Elliott MN,Edwards C,Angeles J,Hambarsoomians K,Hays RD

doi

10.1111/j.1475-6773.2005.00476.x

keywords:

subject

Has Abstract

pub_date

2005-12-01 00:00:00

pages

2096-119

issue

6 Pt 2

eissn

0017-9124

issn

1475-6773

pii

HESR476

journal_volume

40

pub_type

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