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Record W3159406920 · doi:10.1016/j.cjco.2021.04.011

Perceived Barriers to Clinical Cardiovascular Research Involvement in Canada

2021· article· en· W3159406920 on OpenAlexaffabout
Mohammed K. Rashid, Christopher Chiang, Jacqueline Joza, Umjeet Jolly

Bibliographic record

VenueCJC Open · 2021
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsSt Mary's Hospital Centre
Fundersnot available
KeywordsMedicineFamily medicineClinical trialClinical researchAlternative medicineScopusMEDLINEInternal medicinePolitical sciencePathology

Abstract

fetched live from OpenAlex

Community cardiovascular practitioners face real barriers to clinical research involvement, which in turn affect patient representation and patient care.1Rahman S Majumder MAA Shaban SF et al.Physician participation in clinical research and trials: issues and approaches.Adv Med Educ Pract. 2011; 2: 85-93Crossref PubMed Scopus (69) Google Scholar The aim of this letter is to serve as a call to action to address potential barriers to clinical research involvement. In order to capture a range of perspectives, experiences, and perceived barriers, we conducted a survey, in French and English, from June 2018 until January 2019, and distributed it to all Canadian Cardiovascular Society members. We sought participation from those involved in clinical research, regardless of their current clinical status, in order to gain a variety of insights. Eligibility criteria included being a cardiologist, cardiac surgeon, cardiovascular medicine trainee, or cardiovascular practitioner or researcher in Canada. A total of 56 questionnaires were completed. Thirty-three respondents (58.9%) were current clinical medicine practitioners, 15 (26.8%) were not currently active clinicians, and 8 (14.3%) were trainees. A total of 40 and 16 respondents practiced in academic and community settings, respectively. The majority were from Ontario (69.6%), followed by Alberta (10.7%) and Atlantic Provinces (7.1%). In all, 95% of academic respondents were actively involved in research, compared with 81.3% of community respondents. Similarly, most respondents had been involved in one or more research studies within the past 5 years (95.5% vs 85.5%). Most of the respondents (82.5% academic, 93.5% community) indicated their desire to improve current research programs at their institution. Notably, 56.3% of community respondents had no formal research training, compared with 7.5% of academic respondents. Respondents in both academic and community centers considered lack of time (64.3%) and lack of resources (57.1%) to be the major barriers to research. Other important perceived barriers included lack of remuneration for research (32.1%) and lack of appropriate research collaboration (21.4%; Table 1).Table 1Barriers to research identified by survey respondents in academic and community centersBarrierAcademic (40*Maximum number of responses possible.)Community (16*Maximum number of responses possible.)Total (56*Maximum number of responses possible.)Lack of time241236Lack of resources (ie, research infrastructure, statistical support, research assistants)201232Lack of research remuneration12618Lack of research training437Lack of relevant research topics011Lack of appropriate research collaboration7512Lack of available and appropriate patients718Potential for negative influence on patient-doctor relationship101Loss of professional autonomy011Other415 Maximum number of responses possible. Open table in a new tab The survey results show that cardiovascular practitioners in the community have an interest in increasing their clinical research involvement, but many continue to face significant barriers to research participation. Our study has some limitations, including a small sample size and selection bias. Nevertheless, our findings shed light on an area that has received limited emphasis and provide a Canadian perspective to compare with similar studies from other countries.1Rahman S Majumder MAA Shaban SF et al.Physician participation in clinical research and trials: issues and approaches.Adv Med Educ Pract. 2011; 2: 85-93Crossref PubMed Scopus (69) Google Scholar, 2Caldwell PHY Craig JC Butow PN. Barriers to Australian physicians’ and paediatricians’ involvement in randomised controlled trials.Med J Aust. 2005; 182: 59-65Crossref PubMed Scopus (16) Google Scholar, 3Wong AR Sun V George K et al.Barriers to participation in therapeutic clinical trials as perceived by community oncologists.JCO Oncol Pract. 2020; 16: e849-e858Crossref PubMed Scopus (8) Google Scholar, 4Paskett ED Reeves KW McLaughlin JM et al.Recruitment of minority and underserved populations in the United States: the Centers for Population Health and Health Disparities experience.Contemp Clin Trials. 2008; 29: 847-861Abstract Full Text Full Text PDF PubMed Scopus (125) Google Scholar Further studies and initiatives are needed to study and address such barriers in a larger and more representative population, with special focus on funding, training, and infrastructure. This research has adhered to the relevant ethical guidelines. The authors have no funding sources to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.104
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.104
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.383
GPT teacher head0.540
Teacher spread0.157 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2021
Admission routes2
Has abstractyes

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