Literature DB >> 23774510

Self-rated health assessed by web versus mail modes in a mixed mode survey: the digital divide effect and the genuine survey mode effect.

Jae-Mahn Shim1, Eunjung Shin, Timothy P Johnson.   

Abstract

OBJECTIVE: To investigate differences in self-rated health (SRH) between web and mail questionnaires in a mixed mode survey and to provide a model that explains those differences.
SUBJECTS: A total of 15,200 mail respondents and 17,829 web respondents from the 2008 US National Health Survey conducted by the Gallup Panel. RESEARCH
DESIGN: Respondents were recruited using random digit dialing and assigned to one of the two survey modes (web or mail). Respondents with household Internet connection and frequent Internet usage were invited to complete the survey through the web mode. Respondents who had no Internet connection or who used the Internet infrequently were invited to the mail mode. Thus, respondents with better Internet access used the web mode. MEASURES: Respondents completed a questionnaire that asked about SRH status, objective health conditions, health behaviors, and other socioeconomic variables. Statistical associations were analyzed with ordered Logit and negative binomial models.
RESULTS: Web respondents reported better SRH than mail respondents. This difference is in part reflective of variability in objective health status between these two groups, and in part attributable to the effects of survey mode. These results maintained with age controlled.
CONCLUSIONS: The alignment between survey mode selection, Internet access, and health disparities, as well as genuine survey mode characteristics, leads to web-mail differences in SRH. Unless the digital divide and its influences on survey mode selection are resolved and differential genuine mode effects are fully comprehended, we recommend that both modes be simultaneously used on a complementary basis.

Mesh:

Year:  2013        PMID: 23774510     DOI: 10.1097/MLR.0b013e31829a4f92

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  8 in total

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2.  Leveraging Data and Digital Health Technologies to Assess and Impact Social Determinants of Health (SDoH): a State-of-the-Art Literature Review.

Authors:  Kelly J Thomas Craig; Nicole Fusco; Thrudur Gunnarsdottir; Luc Chamberland; Jane L Snowdon; William J Kassler
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3.  Measuring the patient experience in primary care: Comparing e-mail and waiting room survey delivery in a family health team.

Authors:  Morgan Slater; Tara Kiran
Journal:  Can Fam Physician       Date:  2016-12       Impact factor: 3.275

4.  Mode differences in a mixed-mode health interview survey among adults.

Authors:  Jens Hoebel; Elena von der Lippe; Cornelia Lange; Thomas Ziese
Journal:  Arch Public Health       Date:  2014-12-22

5.  Comparison of response patterns in different survey designs: a longitudinal panel with mixed-mode and online-only design.

Authors:  Nicole Rübsamen; Manas K Akmatov; Stefanie Castell; André Karch; Rafael T Mikolajczyk
Journal:  Emerg Themes Epidemiol       Date:  2017-03-21

6.  Mode Equivalence of Health Indicators Between Data Collection Modes and Mixed-Mode Survey Designs in Population-Based Health Interview Surveys for Children and Adolescents: Methodological Study.

Authors:  Elvira Mauz; Robert Hoffmann; Robin Houben; Laura Krause; Panagiotis Kamtsiuris; Antje Gößwald
Journal:  J Med Internet Res       Date:  2018-03-05       Impact factor: 5.428

7.  Measurement agreement of the self-administered questionnaire of the Belgian Health Interview Survey: Paper-and-pencil versus web-based mode.

Authors:  Elise Braekman; Finaba Berete; Rana Charafeddine; Stefaan Demarest; Sabine Drieskens; Lydia Gisle; Geert Molenberghs; Jean Tafforeau; Johan Van der Heyden; Guido Van Hal
Journal:  PLoS One       Date:  2018-05-21       Impact factor: 3.240

8.  Mixing mixed-mode designs in a national health interview survey: a pilot study to assess the impact on the self-administered questionnaire non-response.

Authors:  Elise Braekman; Sabine Drieskens; Rana Charafeddine; Stefaan Demarest; Finaba Berete; Lydia Gisle; Jean Tafforeau; Johan Van der Heyden; Guido Van Hal
Journal:  BMC Med Res Methodol       Date:  2019-11-21       Impact factor: 4.615

  8 in total

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