Clinical trial recruitment in primary care: exploratory factor analysis of a questionnaire to measure barriers and facilitators to primary care providers' involvement

被引:8
作者
Millar, Morgan M. [1 ]
Taft, Teresa [2 ]
Weir, Charlene R. [2 ]
机构
[1] Univ Utah, Dept Internal Med, 295 Chipeta Way, Salt Lake City, UT 84132 USA
[2] Univ Utah, Dept Biomed Informat, Salt Lake City, UT USA
来源
BMC PRIMARY CARE | 2022年 / 23卷 / 01期
基金
美国国家卫生研究院;
关键词
Patient recruitment; Clinical trials; Primary care; Surveys; Barriers; IMPROVING RECRUITMENT; ATTITUDES; PARTICIPATION; POINT;
D O I
10.1186/s12875-022-01898-2
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundRecruitment of sufficient participants for clinical trials remains challenging. Primary care is an important avenue for patient recruitment but is underutilized. We developed and pilot tested a questionnaire to measure relevant barriers and facilitators to primary care providers' involvement in recruiting patients for clinical trials. MethodsPrior research informed the development of the questionnaire. The initial instrument was revised using feedback obtained from cognitive interviews. We invited all primary care providers practicing within the University of Utah Health system to complete the revised questionnaire. We used a mixed-mode design to collect paper responses via in-person recruitment and email contacts to collect responses online. Descriptive statistics, exploratory factor analysis, Cronbach's alpha, and multivariable regression analyses were conducted. ResultsSixty-seven primary care providers participated in the survey. Exploratory factor analysis suggested retaining five factors, representing the importance of clinical trial recruitment in providers' professional identity, clinic-level interventions to facilitate referral, patient-related barriers, concerns about patient health management, and knowledge gaps. The five factors exhibited good or high internal consistency reliability. Professional identity and clinic-level intervention factors were significant predictors of providers' intention to participate in clinical trial recruitment activities. ConclusionsResults of this exploratory analysis provide preliminary evidence of the internal structure, internal consistency reliability, and predictive validity of the questionnaire to measure factors relevant to primary care providers' involvement in clinical trial recruitment.
引用
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页数:13
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共 68 条
  • [1] Askew D, 2008, AUST FAM PHYSICIAN, V37, P578
  • [2] A guide to using the Theoretical Domains Framework of behaviour change to investigate implementation problems
    Atkins, Lou
    Francis, Jill
    Islam, Rafat
    O'Connor, Denise
    Patey, Andrea
    Ivers, Noah
    Foy, Robbie
    Duncan, Eilidh M.
    Colquhoun, Heather
    Grimshaw, Jeremy M.
    Lawton, Rebecca
    Michie, Susan
    [J]. IMPLEMENTATION SCIENCE, 2017, 12
  • [3] Premature Discontinuation of Prospective Clinical Studies Approved by a Research Ethics Committee - A Comparison of Randomised and Non-Randomised Studies
    Blumle, Anette
    Schandelmaier, Stefan
    Oeller, Patrick
    Kasenda, Benjamin
    Briel, Matthias
    von Elm, Erik
    [J]. PLOS ONE, 2016, 11 (10):
  • [4] Short report: How often do UK primary care trials face recruitment delays?
    Bower, Peter
    Wilson, Sue
    Mathers, Nigel
    [J]. FAMILY PRACTICE, 2007, 24 (06) : 601 - 603
  • [5] Improving recruitment to health research in primary care
    Bower, Peter
    Wallace, Paul
    Ward, Elaine
    Graffy, Jonathan
    Miller, Julia
    Delaney, Brendan
    Kinmonth, Ann Louise
    [J]. FAMILY PRACTICE, 2009, 26 (05) : 391 - 397
  • [6] Primary care physicians' attitudes and beliefs about cancer clinical trials
    Bylund, Carma L.
    Weiss, Elisa S.
    Michaels, Margo
    Patel, Shilpa
    D'Agostino, Thomas A.
    Peterson, Emily B.
    Binz-Scharf, Maria Christina
    Blakeney, Natasha
    McKee, M. Diane
    [J]. CLINICAL TRIALS, 2017, 14 (05) : 518 - 525
  • [7] Cabrera-Nyugen P., 2010, J SOC SOC WORK RES, V1, P99, DOI DOI 10.5243/JSSWR.2010.8
  • [8] Improving the Efficiency of Clinical Trial Recruitment Using an Ensemble Machine Learning to Assist With Eligibility Screening
    Cai, Tianrun
    Cai, Fiona
    Dahal, Kumar P.
    Cremone, Gabrielle
    Lam, Ethan
    Golnik, Charlotte
    Seyok, Thany
    Hong, Chuan
    Cai, Tianxi
    Liao, Katherine P.
    [J]. ACR OPEN RHEUMATOLOGY, 2021, 3 (09) : 593 - 600
  • [9] Unsuccessful trial accrual and human subjects protections: An empirical analysis of recently closed trials
    Carlisle, Benjamin
    Kimmelman, Jonathan
    Ramsay, Tim
    MacKinnon, Nathalie
    [J]. CLINICAL TRIALS, 2015, 12 (01) : 77 - 83
  • [10] The dynamic sustainability framework: addressing the paradox of sustainment amid ongoing change
    Chambers, David A.
    Glasgow, Russell E.
    Stange, Kurt C.
    [J]. IMPLEMENTATION SCIENCE, 2013, 8