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Mode of administration does not cause bias in patient-reported outcome results: a meta-analysis
Claudia Rutherford1, Daniel Costa2, Rebecca Mercieca-Bebber2,3
1Quality of Life Office, Psycho-oncology Co-operative Research Group, School of Psychology, University of Sydney, Level 6 North, Chris O'Brien Lifehouse (C39Z), Sydney, NSW, Australia. claudia.rutherford@sydney.edu.au.
Purpose:
Technological advances in recent decades have led to the availability of new modes to administer patient-reported outcomes (PROs). To aid selecting optimal modes of administration (MOA), we undertook a systematic review to determine whether differences in bias (both size and direction) exist among modes.
Methods:
We searched five electronic databases from 2004 (date of last comprehensive review on this topic) to April 2014, cross-referenced and searched reference lists. Studies that compared two or more MOA for a health-related PRO measure in adult samples were included. Two reviewers independently applied inclusion and quality criteria and extracted findings. Meta-analyses and meta-regressions were conducted using random-effects models.
Results:
Of 5100 papers screened, 222 were considered potentially relevant and 56 met eligibility criteria. No evidence of bias was found for: (1) paper versus electronic self-complete; and (2) self-complete versus assisted MOA. Heterogeneity for paper versus electronic comparison was explained by type of construct (i.e. physical vs. psychological). Heterogeneity for self-completion versus assisted modes was in part explained by setting (clinic vs. home); the largest bias was introduced when assisted completion occurred in the clinic and follow-up was by self-completion (either electronic or paper) in the home.
Conclusions:
Self-complete paper and electronic MOA can be used interchangeably for research in clinic and home settings. Self-completion and assisted completion produce equivalent scores overall, although heterogeneity may be induced by setting. These results support the use of mixed MOAs within a research study, which may be a useful strategy for reducing missing PRO data.
Insights
Patient-reported outcomes (PROs) can be collected using various administration modes (MOA). This review found no significant bias between paper vs. electronic or self-complete vs. assisted MOA, supporting mixed methods for research.
Area of Science:
- Health Services Research
- Psychometrics
- Clinical Informatics
Background:
- Technological advancements offer new methods for collecting patient-reported outcomes (PROs).
- Selecting optimal modes of administration (MOA) is crucial for data integrity in research.
- Previous reviews on MOA bias for PROs were last updated in 2004.
Purpose of the Study:
- To systematically review and compare bias (size and direction) across different modes of administration for PROs.
- To inform the selection of optimal MOA for health-related PRO measures in adult populations.
Main Methods:
- Systematic literature search of five electronic databases (2004-2014) and reference lists.
- Inclusion of studies comparing two or more MOA for health-related PROs in adult samples.
- Independent review, quality assessment, data extraction, and random-effects meta-analyses/meta-regressions.
Main Results:
- 56 studies met eligibility criteria from over 5100 screened papers.
- No significant bias detected for paper versus electronic self-complete MOA.
- No significant bias detected for self-complete versus assisted MOA overall.
- Setting (clinic vs. home) influenced heterogeneity, with highest bias when assisted completion in-clinic was followed by self-completion at home.
Conclusions:
- Paper and electronic self-complete MOA are interchangeable across clinic and home settings.
- Self-completion and assisted completion yield equivalent PRO scores, though setting can introduce heterogeneity.
- Employing mixed MOAs within studies is a viable strategy to minimize missing PRO data.
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