Literature DB >> 23559503

Recruiting hospitalized patients for research: how do participants differ from eligible nonparticipants?

Rachel Voss1, Stefan Gravenstein, Rosa Baier, Kristen Butterfield, Gary Epstein-Lubow, Hannah Shamji, Rebekah Gardner.   

Abstract

BACKGROUND: Randomized controlled trials provide strong evidence for guidelines and interventions. Yet, much of the eligible population declines to be studied.
OBJECTIVE: To identify differences between participants and eligible nonparticipants in (1) perceived stress, (2) self-efficacy, (3) recovery expectations, (4) discussing advance directives, and (5) understanding a standard prescription label (health literacy).
DESIGN: Quasi-experimental prospective cohort study in 5 acute-care hospitals.
METHODS: We approached 295 hospital inpatients as they were being recruited for a behavioral intervention and asked them to answer 5 screening questions. We matched respondents' answers to their acceptance of the behavioral intervention and to Medicare claims and enrollment data. We used multivariate logistic regression to compare consent rates based on screening-question responses. SETTING/PATIENTS: Hospitalized fee-for-service Medicare patients.
RESULTS: Patients were less likely to consent to the behavioral intervention when they reported feeling unable to control important things in their lives (odds ratio [OR]: 0.35, 95% confidence interval [CI]: 0.14-0.92), had low recovery expectations (OR: 0.17, 95% CI: 0.06-0.45), or were confused by any question (OR: 0.11, 95% CI: 0.05-0.24). Conversely, individuals who answered the medication question incorrectly were more likely to consent to the behavioral intervention (OR: 3.82, 95% CI: 1.12-13.03). There were no significant differences in consent for patients who reported feeling overwhelmed or reported discussing advance care planning with family members or doctors.
CONCLUSIONS: Hospitalized eligible nonparticipants differ in constructs related to perceived stress, recovery expectation, and health literacy. Recognizing such characteristics may inform strategies to improve intervention recruitment in the hospital and representation in clinical trials.
Copyright © 2013 Society of Hospital Medicine.

Entities:  

Mesh:

Year:  2013        PMID: 23559503     DOI: 10.1002/jhm.2024

Source DB:  PubMed          Journal:  J Hosp Med        ISSN: 1553-5592            Impact factor:   2.960


  4 in total

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Authors:  Rebekah Gardner; Qijuan Li; Rosa R Baier; Kristen Butterfield; Eric A Coleman; Stefan Gravenstein
Journal:  J Gen Intern Med       Date:  2014-03-04       Impact factor: 5.128

2.  Investigating the impact of intervention refusal on hospital readmission.

Authors:  Alexis Coulourides Kogan; Eileen Koons; Susan Enguidanos
Journal:  Am J Manag Care       Date:  2017-12-01       Impact factor: 2.229

3.  Disparities in Research Participation by Level of Health Literacy.

Authors:  Sunil Kripalani; Kathryn Goggins; Catherine Couey; Vivian M Yeh; Katharine M Donato; John F Schnelle; Kenneth A Wallston
Journal:  Mayo Clin Proc       Date:  2021-02       Impact factor: 7.616

4.  Association of Health Literacy and Numeracy with Interest in Research Participation.

Authors:  Sunil Kripalani; William J Heerman; Niral J Patel; Natalie Jackson; Kathryn Goggins; Russell L Rothman; Vivian M Yeh; Kenneth A Wallston; Duane T Smoot; Consuelo H Wilkins
Journal:  J Gen Intern Med       Date:  2019-01-25       Impact factor: 5.128

  4 in total

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