Literature DB >> 17978380

Twenty-five years of health surveys: does more data mean better data?

Marc L Berk1, Claudia L Schur, Jacob Feldman.   

Abstract

Major increases in the resources devoted to the collection of health-related data and advances in survey methodology may be offset by more nonresponse and coverage bias resulting from privacy concerns, technological changes, and an increasingly complex health care environment. Hence, it is unclear whether policymakers today are basing their decisions on data that are of higher or even the same quality as those collected twenty-five years ago. We offer several recommendations for improving data quality, including changes related to Office of Management and Budget review, broad reexamination of the federal health survey portfolio, and greater investment in survey methods research.

Mesh:

Year:  2007        PMID: 17978380     DOI: 10.1377/hlthaff.26.6.1599

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  7 in total

1.  Population Survey Features and Response Rates: A Randomized Experiment.

Authors:  Yimeng Guo; Jacek A Kopec; Jolanda Cibere; Linda C Li; Charles H Goldsmith
Journal:  Am J Public Health       Date:  2016-05-19       Impact factor: 9.308

2.  Getting physicians to respond: the impact of incentive type and timing on physician survey response rates.

Authors:  Katherine M James; Jeanette Y Ziegenfuss; Jon C Tilburt; Ann M Harris; Timothy J Beebe
Journal:  Health Serv Res       Date:  2010-09-28       Impact factor: 3.402

3.  Disparities in public use data availability for race, ethnic, and immigrant groups: national surveys for healthcare disparities research.

Authors:  Pamela Jo Johnson; Lynn A Blewett; Michael Davern
Journal:  Med Care       Date:  2010-12       Impact factor: 2.983

4.  Deployment of a mixed-mode data collection strategy does not reduce nonresponse bias in a general population health survey.

Authors:  Timothy J Beebe; Donna D McAlpine; Jeanette Y Ziegenfuss; Sarah Jenkins; Lindsey Haas; Michael E Davern
Journal:  Health Serv Res       Date:  2012-01-17       Impact factor: 3.402

5.  Shortening a survey and using alternative forms of prenotification: impact on response rate and quality.

Authors:  Timothy J Beebe; Enrique Rey; Jeanette Y Ziegenfuss; Sarah Jenkins; Kandace Lackore; Nicholas J Talley; Richard G Locke
Journal:  BMC Med Res Methodol       Date:  2010-06-08       Impact factor: 4.615

6.  An international cross-sectional survey on the Quality and Costs of Primary Care (QUALICO-PC): recruitment and data collection of places delivering primary care across Canada.

Authors:  Sabrina T Wong; Leena W Chau; William Hogg; Gary F Teare; Baukje Miedema; Mylaine Breton; Kris Aubrey-Bassler; Alan Katz; Fred Burge; Antoine Boivin; Tim Cooke; Danièle Francoeur; Walter P Wodchis
Journal:  BMC Fam Pract       Date:  2015-02-18       Impact factor: 2.497

7.  It takes patience and persistence to get negative feedback about patients' experiences: a secondary analysis of national inpatient survey data.

Authors:  David N Barron; Elizabeth West; Rachel Reeves; Denise Hawkes
Journal:  BMC Health Serv Res       Date:  2014-04-04       Impact factor: 2.655

  7 in total

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