Literature DB >> 30467826

Using predicted Spanish preference to target bilingual mailings in a mail survey with telephone follow-up.

Marc N Elliott1, David J Klein1, Paul Kallaur2, Julie A Brown1, Ron D Hays1,3, Nate Orr1, Alan M Zaslavsky4, Megan K Beckett1, Sarah Gaillot5, Carol A Edwards1, Amelia M Haviland1,6,7.   

Abstract

OBJECTIVE: Spanish-preferring Medicare beneficiaries are underrepresented in national patient experience surveys. We test a method for improving their representation via higher response rates. DATA SOURCES/STUDY
SETTING: 2009-2010 Medicare CAHPS surveys; Medicare population. STUDY
DESIGN: We used surname and address to predict Spanish-language preference for a national sample of 177 139 beneficiaries. We randomized half of the 10 000 non-Puerto Rico beneficiaries with the highest predicted probabilities of Spanish preference (>10 percent) to bilingual mailings (intervention) and half to standard English-only mailings (control). DATA COLLECTION: Medicare CAHPS Survey data were collected through mail surveys with telephone follow-up of nonrespondents. PRINCIPAL
FINDINGS: Mail response rate was higher for intervention (28.7 percent) than control (23.9 percent) (P < 0.0001); phone response rates among mail nonrespondents were similar in intervention and control arms (15.8 percent vs 15.7 percent, P = 0.90). Targeted bilingual mailings induced 6.5 percent of those who would not have responded to respond by mail and 54.0 percent of those who would have responded in English to respond in Spanish. Beneficiaries with greater Spanish probabilities showed greater increases in response rates, a higher proportion of responses in Spanish, and lower control response rates among.
CONCLUSIONS: Targeted bilingual mailing of mixed-mode surveys using commonly available surname and address information can efficiently increase representation of this underrepresented group. © Health Research and Educational Trust.

Entities:  

Keywords:  indirect estimation; response rates; sample design; sampling; survey research-mail

Mesh:

Year:  2018        PMID: 30467826      PMCID: PMC6338289          DOI: 10.1111/1475-6773.13088

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


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2.  Understanding nonresponse to the 2007 Medicare CAHPS survey.

Authors:  David J Klein; Marc N Elliott; Amelia M Haviland; Debra Saliba; Q Burkhart; Carol Edwards; Alan M Zaslavsky
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4.  Using predicted Spanish preference to target bilingual mailings in a mail survey with telephone follow-up.

Authors:  Marc N Elliott; David J Klein; Paul Kallaur; Julie A Brown; Ron D Hays; Nate Orr; Alan M Zaslavsky; Megan K Beckett; Sarah Gaillot; Carol A Edwards; Amelia M Haviland
Journal:  Health Serv Res       Date:  2018-11-22       Impact factor: 3.402

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Authors:  Alan M Zaslavsky; John Z Ayanian; Lawrence B Zaborski
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8.  Development of the Spanish-language version of the National Institute of Mental Health Diagnostic Interview Schedule.

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9.  Effects of survey mode, patient mix, and nonresponse on CAHPS hospital survey scores.

Authors:  Marc N Elliott; Alan M Zaslavsky; Elizabeth Goldstein; William Lehrman; Katrin Hambarsoomians; Megan K Beckett; Laura Giordano
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10.  Accuracy and Bias of Race/Ethnicity Codes in the Medicare Enrollment Database.

Authors:  Daniel R Waldo
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  1 in total

1.  Using predicted Spanish preference to target bilingual mailings in a mail survey with telephone follow-up.

Authors:  Marc N Elliott; David J Klein; Paul Kallaur; Julie A Brown; Ron D Hays; Nate Orr; Alan M Zaslavsky; Megan K Beckett; Sarah Gaillot; Carol A Edwards; Amelia M Haviland
Journal:  Health Serv Res       Date:  2018-11-22       Impact factor: 3.402

  1 in total

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