학술논문

Mode of data elicitation, acquisition and response to surveys: a systematic review
Document Type
article
Source
Health Technology Assessment, Vol 16, Iss 27 (2012)
Subject
mode
data elicitation
data acquisition
survey response
health research
Medical technology
R855-855.5
Language
English
ISSN
1366-5278
2046-4924
Abstract
Background: Many studies in health sciences research rely on collecting participant-reported outcomes and attention is increasingly being paid to the mode of data collection. Consideration needs to be given to the validity of response via different modes and the impact that choice of mode might have on study conclusions. Objectives: (1) To provide an overview of the theoretical models of survey response and how they relate to health research; (2) to review all studies comparing two modes of administration for subjective outcomes and assess the impact of mode of administration on response quality; (3) to explore the impact of findings for key identified health-related measures; and (4) to inform the analysis of multimode studies. Data sources: A broad range of databases (for example EMBASE, PsychINFO, MEDLINE, EconLit, SPORTDiscus, etc.) were chosen to allow as comprehensive a selection as possible, and they were searched up until the end of 2004. Review methods: The abstracts were reviewed against inclusion/exclusion criteria. Full papers were retrieved for all selected abstracts and then screened again using more detailed inclusion criteria related to the measures used. Papers that were still included were reviewed in full and detailed data extracted. At each stage, abstracts or papers were reviewed by a single reviewer. Results: The search strategy identified 39,253 unique references, of which 2156 were considered as full papers, with 381 finally included in the review. Two features of mode were clearly associated with bias in response; however, none of the features of mode was associated with changes in precision. How the measure was administered, by an interviewer or by the person themselves, was highly significantly associated with bias (p