Evidence map›Paper›PMID 28693427›Full record

Trial reportBMC medical research methodology2017

Selection bias and subject refusal in a cluster-randomized controlled trial.

Rochelle Yang, Barry L Carter, Tyler H Gums, Brian M Gryzlak, Yinghui Xu, Barcey T Levy

Registry-linked trialAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in BMC medical research methodology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01983813 (Improved Cardiovascular Risk Reduction to Enhance Rural Primary Care), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01983813 nacompletednot on this map

Improved Cardiovascular Risk Reduction to Enhance Rural Primary Care

TypeinterventionalSponsorKorey KenneltyRan2014 to 2018Enrolled302ConditionsDiabetes Mellitus, Hypertension, Coronary Artery Disease, Atrial FibrillationArmsPHCVRS Intervention, Personal Health Record
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pharmacist services for non-hospitalised patients.The Cochrane database of systematic reviews · 2018
    Pooled it
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  4. Trial
  5. Review
  6. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rochelle YangDepartment of Pharmacy Practice & Science, College of Pharmacy, University of Iowa, Iowa City, IA, 52242, USA.
Barry L CarterDepartment of Pharmacy Practice & Science, College of Pharmacy, University of Iowa, Iowa City, IA, 52242, USA. barry-carter@uiowa.edu.ORCID http://orcid.org/0000-0002-0466-343X
Tyler H GumsDepartment of Health Outcomes and Pharmacy Practice, University of Texas, Austin, TX, USA.
Brian M GryzlakDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA.
Yinghui XuDepartment of Family Medicine, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Barcey T LevyDepartment of Family Medicine, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA, USA.

Funding

Improved Cardiovascular Risk Reduction to Enhance Rural Primary Care:I-CARER01HL116311 · NHLBI · UNIVERSITY OF IOWA · PI KENNELTY, KOREY A, LEVY, BARCEY THURSTON · 2013 to 2017
$3.6M
NHLBI NIH HHS R01 HL116311
6 · The paper itself

Abstract

backgroundSelection 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.

methodsThe 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.

resultsThere 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).

conclusionsThough 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 registrationNCT01983813 . Date of registration: Oct. 28, 2013.

Indexed as

Selection BiasAgedCardiovascular DiseasesCluster AnalysisDiabetes MellitusFemaleHumansHypertensionMaleMiddle AgedPatient SelectionProspective StudiesRefusal to ParticipateRural PopulationCluster randomized trialNon participation biasSelection bias

Identifiers

PMID28693427
PMCPMC5504663

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.