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.

Abstract

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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