Cited by 373Health Policy Implementation ScienceStatistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Experimental and quasi-experimental designs in implementation research

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Miller, Christopher J., Smith, Shawna N., Pugatch, Marianne·2020·Psychiatry Research

Abstract

Implementation science is focused on maximizing the adoption, appropriate use, and sustainability of effective clinical practices in real world clinical settings. Many implementation science questions can be feasibly answered by fully experimental designs, typically in the form of randomized controlled trials (RCTs). Implementation-focused RCTs, however, usually differ from traditional efficacy- or effectiveness-oriented RCTs on key parameters. Other implementation science questions are more suited to quasi-experimental designs, which are intended to estimate the effect of an intervention in the absence of randomization. These designs include pre-post designs with a non-equivalent control group, interrupted time series (ITS), and stepped wedges, the last of which require all participants to receive the intervention, but in a staggered fashion. In this article we review the use of experimental designs in implementation science, including recent methodological advances for implementation studies. We also review the use of quasi-experimental designs in implementation science, and discuss the strengths and weaknesses of these approaches. This article is therefore meant to be a practical guide for researchers who are interested in selecting the most appropriate study design to answer relevant implementation science questions, and thereby increase the rate at which effective clinical practices are adopted, spread, and sustained.

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  • Quasi-experiments are appropriate for practical situations and ethical compliance for studies involving vulnerable participants such as older adults, and allow scholars to conduct rigorous studies under certain limitations and non-control conditions.

    “Quasiexperiments are appropriate for practical situations and ethical compliance for studies involving vulnerable participants such as older adults, 17 and allow scholars to conduct rigorous studies under certain limitations and non-control conditions. 18”

    From Mixed reality technology for older adults: Evaluating the impact of a novel virtual humanoid coach in a community-based physical exercise program in the Philippines (2024) · cites this paper as [18]

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  1. Neumann MS, Sogolow ED, 2000 Replicating effective programs: HIV/AIDS prevention technology transfer. AIDS Educ Prev 12 (5 Suppl), 35– 48. 11063068

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Authors
Miller, C. J., Smith, S. N., & Pugatch, M.
Affiliations
  • United States Department of Veterans Affairs (US)
  • University of Michigan (US)
Corresponding author
Miller, Christopher J.
Venue
Psychiatry Research
Publisher
Elsevier BV
Published
2020-01
Volume
283
Pages
112452
ISSN
0165-1781 (ISSN-L)
OpenAlex
W2951715721
Cited by
373
References
67
Citations by year
2026: 63 · 2025: 89 · 2024: 67 · 2023: 63 · 2022: 56 · 2021: 20 · 2020: 14 · 2019: 1
FWCI
4.18
Type
journal article
Language
en
Open access
Locations
  • Psychiatry Research (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute of Mental Health
  • U.S. Department of Veterans Affairs
Topics
  • Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Keywords
implementation research, implementation science, experimental design, quasi-experimental design, randomized controlled trials, interrupted time series, stepped wedge design, pre-post design, research design selection, clinical adoption, intervention sustainability
MeSH terms
Implementation Science, Humans, Research Design, Randomized Controlled Trials as Topic, Control Groups, Biomedical Research

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