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Clinical trials: the challenge of recruitment and retention of participants
Abstract
AIMS AND OBJECTIVES: This article, based on the available literature, attempts to discuss the importance of recruitment and retention of research participants, the associated barriers and challenges, and various strategies to overcome these barriers. BACKGROUND: The inability to recruit and retain the required participants in a research project poses serious threats to both the internal and the external validity of a research study. Despite serious implications, the issues of recruitment and retention do not receive due attention in research and publications. Literature suggests a lack of coordinated efforts to collect information on the outcomes of recruitment experiences in clinical trials and population studies. Studies often mention the number of participants who refuse to participate; however, the majority of the studies often fail to mention the specific reasons insufficient recruitment or retention of the participants. DESIGN: A methodological paper. METHOD: Various participant-, context-, environment- and research-related factors are examined that affect the phenomenon of recruitment and retention of the participants in a study. RESULTS: Delayed or inefficient recruitment also has financial and ethical implications. Although there are many pieces of information scattered throughout academic journals on recruitment and retention of participants in research, few authors have dealt with the issue holistically. It is imperative for researchers to understand the importance of recruitment and retention of research participants, the associated barriers and challenges, and various strategies to overcome these barriers. CONCLUSION: Appropriate recording and reporting of the problems faced while recruiting and retaining the participants in research studies can help not only in understating the challenge, but will also help in devising the strategies to overcome this problem. This article was an attempt to synthesise and review the available literature on recruitment and retention issues, which demand extensive theoretical and conceptual thinking as part of the research design. RELEVANCE TO PRACTICE: An understanding of the challenges and issues related to recruitment and retention can help researchers to think ahead about the strategies to overcome these issues and consequently save the time and energy of the participants, researchers and funding agencies.
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“Problems with recruitment and retention in clinical trials have been described in the literature [58] and account also for this study where attrition was very high.”
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Metadata
- Authors
- Gul, R. B., & Ali, P. A.
- Affiliations
- Aga Khan University (PK)
- Corresponding author
- Gul, Raisa B
- ORCID
- Ali, Parveen A
- Venue
- Journal of Clinical Nursing
- Publisher
- Wiley
- Published
- 2009-12-17
- Volume
- 19
- Issue
- 1-2
- Pages
- 227-233
- ISSN
- 0962-1067 (ISSN-L)
- 1365-2702
- OpenAlex
- W2034893913
- Cited by
- 449
- References
- 58
- Citations by year
- 2026: 18 · 2025: 36 · 2024: 40 · 2023: 40 · 2022: 44 · 2021: 47 · 2020: 35 · 2019: 29 · 2018: 33 · 2017: 25 · 2016: 18 · 2015: 17 · 2014: 25 · 2013: 17 · 2012: 12
- FWCI
- 8.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Clinical Nursing (publishedVersion)
- PubMed (publishedVersion)
- eCommons - AKU (Aga Khan University) (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Health Sciences › Nursing › Research and Theory › Methodologies in Health Research and Practice
- Keywords
- clinical trial recruitment, participant retention, recruitment barriers, recruitment strategies, internal and external validity, research ethics
- MeSH terms
- Clinical Trials as Topic, Female, Humans, Male, Patient Dropouts, Nursing Research, Patient Selection
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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