PDA Use by Clinicians has a Positive Impact on Clinical Decision Making
Notice bibliographique
Résumé
A review of:
 
 Dee, Cheryl R., Marilyn Teolis, and Andrew D. Todd. “Physicians’ use of the personal digital assistant (PDA) in clinical decision making.” Journal of the Medical Library Association 93.4 (October 2005): 480-6.
 
 Objective – To examine how frequently attending physicians and physicians in training (medical students, interns and residents) used PDAs for patient care and to explore physicians’ perceptions of the impact of PDA use on several aspects of clinical care.
 
 Design – User study via a questionnaire.
 
 Setting – Teaching hospitals in Tennessee, Florida, Alabama, Kentucky, and Pennsylvania in the United States.
 
 Subjects – A convenience sample of fifty-nine attending physicians and forty-nine physicians in training (108 total), spread unevenly across the five states. 
 
 Methods – Subjects were recruited by librarians at teaching hospitals to answer a questionnaire which was distributed and collected at medical meetings, as well as by email, mail, and fax. The subjects were required to have and use a PDA, but prior training on PDA use was not a requirement, nor was it offered to the subjects before the study. Most of the questions required the respondent to choose from five Likert scale answers regarding frequency of PDA use: almost always, often, a few times, rarely, or never. In the reporting of results, the options ‘almost always’ and ‘often’ were combined and reported as ‘frequent’, and the options ‘a few times’ and ‘rarely’, were combined and reported as ‘occasional’. Subjects could also record comments for each question, but only for affirmative responses.
 
 Subjects were asked about their frequency of PDA use before, during, or after a patient encounter. They were also asked if PDA use had influenced one or more of five aspects of clinical care – decision making, diagnosis, treatment, test ordering, and in-patient hospital length of stay.
 
 Data analysis included chi square tests to assess differences between attending physicians and physicians in training regarding frequency of PDA use and the influence of PDA use on the five aspects of clinical care. The subject population was also divided into frequent and occasional users of PDAs, and chi square testing was used to assess differences between these two groups regarding the influence of PDA use on clinical care. A significance value of P
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,203 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».