Literature DB >> 16316441

Equivalence of mail and telephone responses to the CAHPS Hospital Survey.

Han de Vries1, Marc N Elliott, Kimberly A Hepner, San D Keller, Ron D Hays.   

Abstract

OBJECTIVE: To estimate the effect of survey mode (mail versus telephone) on reports and ratings of hospital care. DATA SOURCES/STUDY
SETTING: The total sample included 20,826 patients discharged from a group of 24 distinct hospitals in three states (Arizona, Maryland, New York). We collected CAHPS data in 2003 by mail and telephone from 9,504 patients, of whom 39 percent responded by telephone and 61 percent by mail. STUDY
DESIGN: We estimated mode effects in an observational design, using both propensity score blocking and (ordered) logistic regression on covariates. We used variables derived from administrative data (either included as covariates in the regression function or used in estimating the propensity score) grouped in three categories: individual characteristics, characteristics of the stay and hospital, and survey administration variables. DATA COLLECTION/EXTRACTION
METHODS: We mailed a 66-item questionnaire to everyone in the sample and followed up by telephone with those who did not respond. PRINCIPAL
FINDINGS: We found significant (p<.01) mode effects for 13 of the 21 questions examined in this study. The maximum magnitude of the survey mode effect was an 11 percentage-point difference in the probability of a "yes" response to one of the survey questions. Telephone respondents were more likely to rate care positively and health status negatively, compared with mail respondents. Standard regression-based case-mix adjustment captured much of the mode effects detected by propensity score techniques in this application.
CONCLUSIONS: Telephone mode increases the propensity for more favorable evaluations of care for more than half of the items examined. This suggests that mode of administration should be standardized or carefully adjusted for. Alternatively, further item development may minimize the sensitivity of items to mode of data collection.

Entities:  

Mesh:

Year:  2005        PMID: 16316441      PMCID: PMC1361249          DOI: 10.1111/j.1475-6773.2005.00479.x

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  9 in total

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3.  Comparison of telephone and postal survey modes on respiratory symptoms and risk factors.

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

Authors:  Marc N Elliott; Carol Edwards; January Angeles; Katrin Hambarsoomians; Ron D Hays
Journal:  Health Serv Res       Date:  2005-12       Impact factor: 3.402

5.  Patient satisfaction measurement strategies: a comparison of phone and mail methods.

Authors:  T E Burroughs; B M Waterman; J C Cira; R Desikan; W Claiborne Dunagan
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7.  Differences between respondents and non-respondents in a population-based cardiovascular disease study.

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8.  Exploratory factor analyses of the CAHPS Hospital Pilot Survey responses across and within medical, surgical, and obstetric services.

Authors:  A James O'Malley; Alan M Zaslavsky; Ron D Hays; Kimberly A Hepner; San Keller; Paul D Cleary
Journal:  Health Serv Res       Date:  2005-12       Impact factor: 3.402

9.  A comparison of responses to mailed questionnaires and telephone interviews in a mixed mode health survey.

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Journal:  Am J Epidemiol       Date:  1987-11       Impact factor: 4.897

  9 in total
  29 in total

1.  Assessment of the equivalence of the Spanish and English versions of the CAHPS Hospital Survey on the quality of inpatient care.

Authors:  Margarita P Hurtado; January Angeles; Steven A Blahut; Ron D Hays
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2.  Patterns of unit and item nonresponse in the CAHPS Hospital Survey.

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Journal:  Health Serv Res       Date:  2005-12       Impact factor: 3.402

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7.  A randomized trial comparing mail versus in-office distribution of the CAHPS Clinician and Group Survey.

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8.  Drivers of Inpatient Hospital Experience Using the HCAHPS Survey in a Canadian Setting.

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9.  Measuring the patient experience in primary care: Comparing e-mail and waiting room survey delivery in a family health team.

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