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

Perceived Barriers to Clinical Cardiovascular Research Involvement in Canada

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

Notice bibliographique

RevueCJC Open · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueHealth and Medical Research Impacts
Établissements canadiensSt Mary's Hospital Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineFamily medicineClinical trialClinical researchAlternative medicineScopusMEDLINEInternal medicinePolitical sciencePathology

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,010
score de la tête « metaresearch » (Gemma)0,104
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,154
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0100,104
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,383
Tête enseignante GPT0,540
Écart entre enseignants0,157 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2021
Routes d'admission2
Résumé présentoui

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