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Enregistrement W7029273153

THE IMPACT OF A MEDICATION PROFILE RELEASE PROGRAM ON OUTPATIENT DRUG USE: AN EVALUATION OF SASKATCHEWAN'S PATIENT PROFILE RELEASE PROGRAM

2023· dissertation· en· W7029273153 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity Library (University of Saskatchewan) · 2023
Typedissertation
Langueen
DomaineMedicine
ThématiquePharmaceutical Practices and Patient Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPolypharmacyDrugCohortPopulationIntervention (counseling)PharmacyMedical prescriptionAsthmaPharmacotherapy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The Patient Profile Release Program was designed to promote optimal drug use in Saskatchewan by identifying individuals who are at risk for drug-related problems and communicating these drug use concerns to the physicians and pharmacists responsible for their care. During 1992, the PPRP had three components — the Extreme User, Polypharmacy and Polyprescriber Programs — which monitored for the use of high dosages of mood- modifying drugs and asthma medications, the use of multiple different drugs and the use of multiple prescribers, respectively. Similar programs have been implemented elsewhere; however, there is little objective evidence that these programs effectively influence physician prescribing practices and improve patient drug use. 
\nThe objectives of the present investigation were to describe the individuals who were identified by the PPRP in 1992, evaluate the impact of the PPRP on drug use by these patients and describe the use of mood-modifying drugs and asthma medications in the province of Saskatchewan. An historical cohort study with a 3.5 month follow-up period was used to evaluate the impact of the PPRP. The study population included all individuals who had a profile released under the Program during 1992. Profiles for the intervention group subjects were released at the time that they were identified whereas profile release for the comparison group subjects was delayed for at least two months after the index identification. Re-identification by the PPRP was the primary outcome of interest.
\nDuring 1992, 3124 individuals were identified by the PPRP, of which 2542 (81%) were eligible for inclusion in this study. 58.7%, 25.1% and 15.3% of the subjects were identified under the ExU, PPh and PPr Programs, respectively. The ExU and PPh subjects tended to be female and elderly. Women were also more likely than men to be identified under the PPr Program.
\nFor all three Program components, the intervention group subjects were significantly less likely than comparison group subjects to be re-identified by the PPRP. This reduction in the likelihood of re-identification persisted even after controlling for differences between the study groups with respect to age, sex, residence, coverage type, the numbers of pharmacies and prescribers during the pre-identification period, hospitalization during the follow-up period, the level of extreme use and the number of different drugs. A long-term descriptive analysis of the intervention group subjects demonstrated that re-identification continued during the 9 month post-intervention period. This finding highlights the need for ongoing feedback.
\nThe findings of the present investigation indicate that the release of patient medication profiles under Saskatchewan's PPRP was associated with a reduction in the risk of re-identification during a short-term follow-up period. Since re-identification is a marker of changes in drug utilization, the findings indicate that profile release was associated with a decreases in the level of drug use, the number of different drugs and the number of different prescribers for individuals identified under the ExU, PPh and PPr Programs, respectively. Given the high threshold criteria for identification under the PPRP, the observed decreases in drug utilization reflect an improvement in the quality of patient drug use.

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)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,659
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,002
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,045
Tête enseignante GPT0,322
Écart entre enseignants0,277 · 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'étudeQualitatif
Domainenon disponible
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
Publié2023
Routes d'admission1
Résumé présentoui

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