The Information Rx program Requires More Promotion, More Support and Some Adjustment
Notice bibliographique
Résumé
Objective – To determine the level of awareness of the Information Rx program by Georgia librarians and Georgia American College of Physicians (GACP) members, and the use of Information Rx pads, with which physicians would “prescribe” information for their patients. Design – Descriptive (surveys and interviews). Setting – Georgia, U.S. Surveys were distributed and responded to online. The face-to-face interview locations were not specified. Subjects – One survey, which was provided to the Georgia American College of Physicians (GACP) membership including internal medicine physicians and medical students interested in internal medicine, had 46 respondents. The second survey was sent to librarians who were members of the Georgia Public Library Service (GPLS) and the Georgia Health Sciences Library Association (GHSLA). There were 72 public librarians, 14 hospital librarians and 13 academic medical librarians who responded (as well as 6 not specified in the article). A select group of four medical librarians was chosen for more in-depth interviews. The number of surveys sent out was not provided. Methods – Two online surveys, one for physicians and one for librarians, were administered. No information concerning response rate was provided. Face-to-face interviews with four academic medical librarians were conducted. No further information about the interviewing process was provided such as who conducted the interviews, methods used to ensure objectivity or consistency, or where the interviews were conducted. Main Results – Out of 46 GACP survey respondents, only 4 were familiar with the Information Rx program and only 2 of those had used the information Rx pads, neither of whom had referred anyone to a library for further assistance. The two who had not used the pads were either too busy or didn’t understand the program well enough. Of 105 librarian survey respondents, 46 had heard of Information Rx, 37 had received Information Rx promotional materials, and 12 reported helping patrons look for information on MedlinePlus ‘‘prescribed’’ to them by their doctors. Responses to the open-ended interview questions given to the four interviewed librarians were mixed regarding receipt of program materials, negative regarding the effectiveness of the program, and reported no awareness of any patrons having been helped with information “prescriptions.” To improve the program’s success, the author suggested steps such as providing promotional information on the MedlinePlus site, better integration between MedlinePlus and Information Rx, involving librarians somehow in the process as a whole given their ability to help users navigate and understand MedlinePlus, and marketed more to nurses given their front-line responsibilities. Conclusion – Although the program is somewhat useful, Information Rx has not been promoted or supported sufficiently. Information needs to be linked on the MedlinePlus website, clarification of the program and that it is available at no charge should be emphasized. Librarians should be involved and the target audience may need to be changed to include nurses.
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 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 | 0,010 | 0,040 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,006 | 0,005 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,092 | 0,017 |
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 ».