Health Centre Staff Are Satisfied with Librarian-Mediated Search Services, Especially When Librarians Follow Up
Notice bibliographique
Résumé
A Review of: McKeown, S., Konrad, S.-L., McTavish, J., & Boyce, E. (2017). Evaluation of hospital staff’s perceived quality of librarian-mediated literature searching services. Journal of the Medical Library Association, 105(2), 120-131. http://dx.doi.org/10.5195/jmla.2017.201 Abstract Objective – To determine the effects of the professional designation and communication method on clinical, educational, and research activities and related users’ reported satisfaction with and perceived quality of a librarian-mediated literature searching service. Design – Online survey. Setting – A large teaching hospital in Ontario, Canada. Subjects – 237 health sciences centre staff who were requesting librarian-mediated literature searching over a one-year period. Methods – From February 1, 2014 to January 31, 2015, one-third of the health centre staff members requesting searching services, representing a systematic sample of the user group, were invited to participate in the survey. The survey centred on questioning participants on a critical incident, which, according to the critical incident technique, is an actual event upon which recollections are made, rather than hypothetical situations. In the case of this study, the critical incident was the service they received upon requesting literature searching by a librarian who was blinded concerning the originator of the request. With a 71% response rate, the researchers received 137 responses to the survey by health sciences staff. Participants were asked how many literature searches they had requested in the previous year, the reason they requested the service, how they submitted the request, and whether the librarian followed up for further clarification of their need. They also reported on the relevance of the results and their method of delivery, along with their perceptions of the overall quality of the service. Main Results – The results came from 137 completed surveys, for a 71% response rate. Physicians, nurses, and allied health professionals comprised 85% of the responses, at 35%, 27%, and 23% respectively. Scientists, researchers, research coordinators, and other staff made up the remainder of responses. Responses indicated frequent search requests, with the average number of searches being five, and 68% of respondents reported searching for the information themselves before contacting the library for assistance. Most searches were for research/publishing (34%) and teaching/training (20%). Requests were submitted via email (44%), online form (32%), in person (17.5%), and phone (6.5%), and most respondents rated themselves extremely satisfied (54%) or very satisfied (42%). Most respondents (72%) reported that the librarian followed up for further clarification of the request, and staff who received follow-up rated themselves extremely satisfied at a significantly higher rate than those who did not (p=0.002). Respondents whose request was submitted verbally (i.e., by phone or in person), in comparison with those whose request was submitted by email or online form, rated themselves extremely satisfied at a significantly higher rate (p=0.004) and rated the quality of results as excellent at a significantly higher rate (p=0.005). Conclusion – The need for comprehensive and expert searching when publishing or completing research and the availability of easy to use point-of-care resources may be why librarian-mediated literature searching was used for research and publishing at a rate much higher than for patient care. In addition, the fact that the institution was also engaged in efforts toward evidence-based standardization of care and electronic health records during that year may have also affected results. While satisfaction with the service was higher for those communicating verbally with a librarian, it is unclear whether this was caused by other factors or differences between staff members who engage in phone or in-person communication and those who submit forms and online requests. Because following up was correlated with higher satisfaction, adjustments in service encouraging librarians to follow up are recommended. Following up in person and via phone may help further.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,061 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,019 | 0,006 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».