Selection bias and subject refusal in a cluster-randomized controlled trial
Open accessAbstract
BACKGROUND: Selection bias and non-participation bias are major methodological concerns which impact external validity. Cluster-randomized controlled trials are especially prone to selection bias as it is impractical to blind clusters to their allocation into intervention or control. This study assessed the impact of selection bias in a large cluster-randomized controlled trial. METHODS: The Improved Cardiovascular Risk Reduction to Enhance Rural Primary Care (ICARE) study examined the impact of a remote pharmacist-led intervention in twelve medical offices. To assess eligibility, a standardized form containing patient demographics and medical information was completed for each screened patient. Eligible patients were approached by the study coordinator for recruitment. Both the study coordinator and the patient were aware of the site's allocation prior to consent. Patients who consented or declined to participate were compared across control and intervention arms for differing characteristics. Statistical significance was determined using a two-tailed, equal variance t-test and a chi-square test with adjusted Bonferroni p-values. Results were adjusted for random cluster variation. RESULTS: There were 2749 completed screening forms returned to research staff with 461 subjects who had either consented or declined participation. Patients with poorly controlled diabetes were found to be significantly more likely to decline participation in intervention sites compared to those in control sites. A higher mean diastolic blood pressure was seen in patients with uncontrolled hypertension who declined in the control sites compared to those who declined in the intervention sites. However, these findings were no longer significant after adjustment for random variation among the sites. After this adjustment, females were now found to be significantly more likely to consent than males (odds ratio = 1.41; 95% confidence interval = 1.03, 1.92). CONCLUSIONS: Though there appeared to be a higher consent rate for females than for males, the overall impact of potential selection bias and refusal to participate was minimal. Without rigorous methodology, selection bias may be a threat to external validity in cluster-randomized trials. TRIAL REGISTRATION: NCT01983813 . Date of registration: Oct. 28, 2013.
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Knowledge of treatment condition at the time of patient recruitment is known to be a risk factor for differential identification and recruitment of participants across treatment arms, unless recruitment and identification are conducted by someone blind to the treatment allocation or the inclusion criteria are broad.
“Knowledge of treatment condition at the time of patient recruitment is known to be a risk factor for differential identification and recruitment of participants across treatment arms [1,14,16,37], unless recruitment and identification are conducted by someone blind to the treatment allocation or the inclusion criteria are broad [2,11,14].”
From Cluster randomized trials of individual-level interventions were at high risk of bias (2021) · cites this paper as [37]
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- Authors
- Yang, R., Carter, B. L., Gums, T. H., Gryzlak, B. M., Xu, Y., & Levy, B. T.
- Affiliations
- University of Iowa (US)
- The University of Texas at Austin (US)
- Corresponding author
- Carter, Barry L.
- Venue
- BMC Medical Research Methodology
- Published
- 2017-07-10
- Volume
- 17
- Issue
- 1
- Pages
- 94-94
- ISSN
- 1471-2288 (ISSN-L)
- PMC
- PMC5504663
- OpenAlex
- W2734469331
- Cited by
- 19
- References
- 35
- Citations by year
- 2025: 1 · 2023: 3 · 2022: 2 · 2021: 8 · 2019: 1 · 2018: 4
- FWCI
- 0.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Medical Research Methodology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Iowa Research Online (The University of Iowa) (submittedVersion)
- Iowa Research Online (University of Iowa) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Heart, Lung, and Blood Institute (R01HL116311)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- selection bias, generalizability, pharmacist intervention, rural primary care, diabetes mellitus, hypertension, ICARE study
- MeSH terms
- Aged, Cardiovascular Diseases, Diabetes Mellitus, Female, Humans, Hypertension, Male, Middle Aged, Prospective Studies, Rural Population, Selection Bias, Cluster Analysis, Patient Selection, Refusal to Participate
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