OBJECTIVE: To evaluate the need for survey mode adjustments to hospital care evaluations by discharged inpatients and develop the appropriate adjustments. DATA SOURCE: A total of 7,555 respondents from a 2006 national random sample of 45 hospitals who completed the CAHPS Hospital (HCAHPS [Hospital Consumer Assessments of Healthcare Providers and Systems]) Survey. STUDY DESIGN/DATA COLLECTION/EXTRACTION METHODS: We estimated mode effects in linear models that predicted each HCAHPS outcome from hospital-fixed effects and patient-mix adjustors. PRINCIPAL FINDINGS: Patients randomized to the telephone and active interactive voice response (IVR) modes provided more positive evaluations than patients randomized to mail and mixed (mail with telephone follow-up) modes, with some effects equivalent to more than 30 percentile points in hospital rankings. Mode effects are consistent across hospitals and are generally larger than total patient-mix effects. Patient-mix adjustment accounts for any nonresponse bias that could have been addressed through weighting. CONCLUSIONS: Valid comparisons of hospital performance require that reported hospital scores be adjusted for survey mode and patient mix.
OBJECTIVE: To evaluate the need for survey mode adjustments to hospital care evaluations by discharged inpatients and develop the appropriate adjustments. DATA SOURCE: A total of 7,555 respondents from a 2006 national random sample of 45 hospitals who completed the CAHPS Hospital (HCAHPS [Hospital Consumer Assessments of Healthcare Providers and Systems]) Survey. STUDY DESIGN/DATA COLLECTION/EXTRACTION METHODS: We estimated mode effects in linear models that predicted each HCAHPS outcome from hospital-fixed effects and patient-mix adjustors. PRINCIPAL FINDINGS:Patients randomized to the telephone and active interactive voice response (IVR) modes provided more positive evaluations than patients randomized to mail and mixed (mail with telephone follow-up) modes, with some effects equivalent to more than 30 percentile points in hospital rankings. Mode effects are consistent across hospitals and are generally larger than total patient-mix effects. Patient-mix adjustment accounts for any nonresponse bias that could have been addressed through weighting. CONCLUSIONS: Valid comparisons of hospital performance require that reported hospital scores be adjusted for survey mode and patient mix.
Authors: A James O'Malley; Alan M Zaslavsky; Marc N Elliott; Lawrence Zaborski; Paul D Cleary Journal: Health Serv Res Date: 2005-12 Impact factor: 3.402
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