MétaCan
Menu
Retour à la cohorte
Enregistrement W1896345983 · doi:10.18438/b8289j

A Librarian Consultation Service Improves Decision-Making and Saves Time for Primary Care Practitioners

2009· article· en· W1896345983 sur OpenAlexvenueaboutno aff
Heather Ganshorn

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2009
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHealth Sciences Research and Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRandomized controlled trialBlindingService (business)MedicineIntervention (counseling)Primary careNursingFamily medicinePsychologyMedical education

Résumé

récupéré en direct d'OpenAlex

A Review of:
 McGowan, Jessie, William Hogg, Craig Campbell, and Margo Rowan. “Just-in-Time Information Improved Decision-Making in Primary Care: A Randomized Controlled Trial.” PLoS ONE 3.11 (2008): e3785. 10 Mar 2009 
 
 Objectives – To determine whether a point-of-care librarian consultation service for primary care practitioners (PCPs) improves the quality of PCPs’ decision-making; saves PCPs time; reduces the number of point-of-care questions that go unanswered due to time constraints; and is cost-effective. Overall PCP satisfaction with the service was also assessed.
 
 Design – Randomized controlled trial.
 
 Setting – Four Family Health Networks (FHNs) and 14 Family Health Groups (FHGs) in Ontario, Canada. These represent new models for primary care service delivery in Ontario.
 
 Subjects – PCPs working within the selected FHNs and FHGs. The majority of these were physicians, but the sample also contained one resident, one nurse, and four nurse-practitioners.
 
 Methods – Subjects were trained in the use of a Web-based query form or mobile device to submit their point-of-care questions electronically. They were also trained in query formulation using PICO (patient, intervention, comparison, and outcome).
 
 Allocation was concealed by an independent company hired to manage data for the project. Participants were not randomized; rather the questions were randomized using a random-number generator.
 
 To ensure blinding of the librarians, all questions submitted were answered by a librarian. Answers to questions in the intervention group were relayed by a third party to the practitioner within minutes. Answers to the questions in the control group were not communicated to the physician. Blinding of the PCP subjects was not possible, as they either received or did not receive an answer.
 
 Subjects were asked to respond to a questionnaire 24 hours after submitting their question. If the question was in the control group, subjects were asked to indicate whether they had let the question remain unanswered or pursued an answer on their own. In order to assess cognitive impact of both librarian-provided information and self-sought information, respondents were asked to rate information on a scale from high positive to negative impact on decision making.
 Two linear regression models were run on the data, with participant response time as the dependent variable in the first model, and librarian response time as the dependent variable in the second.
 
 Main Results – The service received a total of 1,889 questions, of which 472 (25%) were randomized to the control group, and 1,417 (75%) to the intervention group. Analysis run on both groups found that the types and complexity of questions were similar between the two groups, as was librarian response time. Questions were rated for complexity (the rating scale is included in the article), and most (85%) had a Level 1 complexity rating, meaning there was only one concept listed for each PICO element.
 
 The primary outcome measure was the amount of time required to answer the question. Average librarian time to respond to questions was 13.68 minutes per question. Average PCP time to find answers to their own questions was 20.29 minutes; however, subjects only attempted to answer 40.5% of control-group questions themselves. Cost-effectiveness analysis was run on these times, and the authors found that the average per-question salary cost for a librarian to answer these questions (based on 15 minutes per question) was $7.15, while average salary cost for a PCP to spend 15 minutes searching for information ranged from $20.75 to $27.69.
 
 The results of the questionnaire indicated a significant positive impact of the information on clinician decision-making. Approximately 60% of the questions in the control group went unanswered, whereas all of the questions in the intervention group were answered. Of the questions answered by the information service, 63.7% of the answers were rated by participants as having a high positive impact on decision-making, versus 14.9% of answers to questions in the control group that practitioners sought out themselves. Seventeen percent of the answers were rated as having a moderate positive impact in the intervention group, versus 5.9% in the control group. Only 7.8% of answers in the intervention group were rated as having no impact, versus 24.8% of answers in the control group. A negative impact (where practitioners found too much or too little information or information that they disagreed with or felt was harmful) was found for 7.7% of librarian-provided answers, compared with 44.9% of practitioner-sought answers.
 
 Satisfaction was very high, according to the exit satisfaction survey, with 86% agreeing that the service had a positive impact on decision-making, and 83% stating that relevant answers were provided in an appropriate time frame. Most participants (72%) would consider using such a service, and 33% indicated they would be willing to pay for this type of service.
 
 Conclusion – A point-of-care reference service, in which librarians answer primary care practitioners’ questions within minutes, has a very positive impact on clinical decision making and a high rate of client satisfaction. This system saves PCPs time, which may allow them to spend more time with patients. In supporting good clinical decision making, the service may also decrease the need for referrals and further tests. The service is cost-effective, as librarians find better quality information than practitioners, and they do it faster, on a lower per-hour salary.

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)0,001
score de la tête « metaresearch » (Gemma)0,008
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,844
Score d'incertitude au seuil0,927

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,008
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,176
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,031
Tête enseignante GPT0,398
Écart entre enseignants0,367 · 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
GenreCommentaire

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

En bref

Citations3
Publié2009
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueEvidence Based Library and Information PracticeMême sujetHealth Sciences Research and EducationTravaux en français237 207