Literature DB >> 26370905

Diverse recruitment strategies result in different participation percentages in a web-based study, but in similar compliance.

Manas K Akmatov1,2, Nicole Rübsamen3, Anja Schultze3, Yvonne Kemmling3, Nadia Obi4, Kathrin Günther5, Wolfgang Ahrens5, Frank Pessler6, Gérard Krause3, Rafael T Mikolajczyk3.   

Abstract

OBJECTIVES: We compared participation and compliance with a web-based data collection on infections among population-based samples recruited in different ways.
METHODS: Individuals were recruited from participants in the German National Cohort study (Group A, n = 279) or persons who were invited to this study but did not participate (Group B, n = 53). A third group was invited to the web-based study only (Group C, n = 145).
RESULTS: Response varied among groups between 3 % (B), 11 % (C) and 61 % (A), but compliance was similar (81-85 %). Response did not differ by age and sex. Compliance was lower among the youngest and oldest participants. In addition, participants currently not employed were more likely to have better compliance. Semi-parametric group-based modelling identified three distinct compliance trajectories; "poor compliance" (8 %), "improving compliance" (14 %) and "very good compliance" (78 %).
CONCLUSIONS: Participation differed among modes of recruitment, but compliance was similar among groups and notably high. Different recruitment approaches can be used and collected data can be combined to achieve greater sample sizes for longitudinal web-based studies.

Entities:  

Keywords:  Compliance; German National Cohort; Longitudinal study; Non-responders; Population-based study; Recruitment strategies; Response; Second-stage non-response; Web-based study

Mesh:

Year:  2015        PMID: 26370905     DOI: 10.1007/s00038-015-0737-0

Source DB:  PubMed          Journal:  Int J Public Health        ISSN: 1661-8556            Impact factor:   3.380


  12 in total

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  4 in total

Review 1.  Clinical Research Informatics: Supporting the Research Study Lifecycle.

Authors:  S B Johnson
Journal:  Yearb Med Inform       Date:  2017-09-11

2.  Why do people participate in health-related studies?

Authors:  Hannah Bongartz; Nicole Rübsamen; Heike Raupach-Rosin; Manas K Akmatov; Rafael T Mikolajczyk
Journal:  Int J Public Health       Date:  2017-08-31       Impact factor: 3.380

Review 3.  Response rate differences between web and alternative data collection methods for public health research: a systematic review of the literature.

Authors:  Cauane Blumenberg; Aluísio J D Barros
Journal:  Int J Public Health       Date:  2018-04-24       Impact factor: 3.380

4.  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

  4 in total

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