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Enregistrement W1486583607 · doi:10.18438/b8fw3w

Canadian Healthcare Practitioners’ Access to Evidence Based Information is Inequitable

2013· article· en· W1486583607 sur OpenAlexvenueaboutno aff
Maria C. Melssen

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2013
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHealth Sciences Research and Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésProfessional associationOfficerTelephone interviewHealth careMedicineAssociation (psychology)Health professionalsPsychologyMedical educationFamily medicinePublic relationsPolitical scienceSociology

Résumé

récupéré en direct d'OpenAlex

Objective – To determine what services and resources are available to health professionals through national Canadian and Alberta based health professional associations and licensing colleges and if those resources and services are being used. Also, to assess the associations’ perceptions of what resources and services Canadian health professionals actually need and if those needs are being met, membership satisfaction with the resources and services provided, and challenges the associations have with providing resources and services. Design – Structured telephone interview. Setting – Health professional associations and licensing colleges in Canada. Subjects – 23 health professional associations: 9 Alberta-based associations and 14 national-level professional associations and licensing colleges. Methods – A librarian, communications officer, or another individual in a comparable position at each association was invited via email to participate in the study. Individuals willing to participate in the interview were emailed the interview questions in advance. Telephone interviews were conducted in July and August of 2009. For those who did not respond to the email request or who did not wish to participate in the interviews, information was collected from the association’s website. Main Results – Of the 23 contacted associations 12 agreed to be interviewed: less than 50% response rate. Data was collected from websites of seven associations that either declined to be interviewed or did not respond to the authors’ email request. Data were unavailable for four associations due to data being in members only sections of the websites. Data were analyzed both qualitatively and quantitatively. Resources and services provided by the associations and licensing colleges range from none to reference services provided by a librarian and access to licensed databases. None of the three licensing colleges or the two provincial associations interviewed maintains usage statistics or surveys their members. Nor do they grant access to licensed databases or offer information services, such as having a librarian or other information professional available to answer reference questions or to perform mediated literature searches. The two provincial associations and the three licensing colleges interviewed do supply information pertinent to health professionals, for example insurance information and funding. Seven national associations were interviewed: two permit access to databases developed by that association and three grant access to licensed databases such as Medline. All seven national associations provide access to journals (four of the seven only provide access to their own association’s journal) and five offer information services. Four maintain usage statistics and five survey their members. Of the seven associations not interviewed, none grant access to licensed databases and one permits access to databases developed by that association. Five provide access to their own association’s journal and one provides book loans. Only one offers information services. Cost and the priority to provide resources to staff over members are barriers when trying to provide association members’ services and resources. Conclusion – Health professionals’ access to health information varies depending on the professional’s area of specialization, location in Canada, and particular association memberships. There is no consistency as to what health information is available to all health professionals in Canada, specifically Alberta. The majority of the associations do not provide resources and services, nor do they survey members to assess their usage, desires, needs, or satisfaction with resources and services. Usage rates are low for the associations that do track resource and service usage. A resource list of freely available online health information should be generated to mitigate existing disparities without accruing additional cost factors. Also, a partnership between hospital and academic libraries with various associations is needed to promote the usage of licensed and freely available resources accessible at institutions. This study has several limitations. The low response rate and excluding associations and licensing colleges in other provinces make this an incomplete assessment of all associations which provide resources and services to health professionals in Canada, specifically Alberta. To compensate for this deficit, the authors had collected information from seven associations’ websites; however, because much of the needed information was within members-only pages, some data may be missing. Due to the study’s limitations, further research is needed to better assess health professionals’ information needs and barriers to their use of available resources and services.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,021
score de la tête « metaresearch » (Gemma)0,119
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Science ouverte
Catégories consensuellesaucune
DomaineSignal candidat: Reproductibilité · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,998
Score d'incertitude au seuil0,294

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0210,119
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0060,015
Études des sciences et des technologies0,0080,006
Communication savante0,0100,004
Science ouverte0,0020,009
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0240,001

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 Opus0,113
Tête enseignante GPT0,442
Écart entre enseignants0,330 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeObservationnel
DomaineReproductibilité
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

Citations0
Publié2013
Routes d'admission2
Résumé présentoui

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