Pennsylvania Rural Health Model: Early Impacts on Potentially Avoidable Hospitalizations
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Scoring is only possible in the semifinals hall Abstract: Background The Pennsylvania Rural Health Model (PARHM) is a novel alternative payment model (APM) that began in 2019 and is slated to run through 2024. It is designed to test whether hospital global budgets and transformation plans can improve the financial viability of rural hospitals and the health of their patients. The expectation is that, when hospitals operate on a prospective budget, they have an incentive to reduce potentially avoidable hospitalizations (PAH) to control costs. Therefore, our objective was to assess the early impacts of PARHM on PAH for ambulatory care sensitive conditions. Methods We conducted a retrospective cohort study using a difference-in-differences (DID) with multiple time periods approach. Hospitals joined PARHM in three cohorts at different points in time (January 2019, 2020, and 2021), creating a natural policy experiment to study this program’s effects. The treated group included HSAs of 18 treated hospitals and the control group included HSAs of 43 eligible but not participating hospitals. We used visit-level inpatient discharge data from the Pennsylvania Health Care Cost Containment Council between 1/1/2016 and 5/31/2022. We measured PAH using the Agency for Healthcare Research and Quality Prevention Quality Indicators algorithm. Analyses were conducted at the hospital service area (HSA)-quarter level. We fit models using a doubly robust DID estimator that accounted for staggered treatment timing. All models were weighted using propensity scores and population size in each HSA. Results The introduction of PARHM was associated with 9.71 fewer PAHs per 100k residents per quarter (95% CI: 0.21 to 19.21) overall. This represents a 2.25% relative reduction in treated vs. control HSAs. However, when cohorts were analyzed separately, only PARHM Cohort 1 HSAs consistently a showed statistically significant (p<0.05) relative decreases in PAHs across overall, acute, chronic, and diabetes composite measures for PAH compared to changes in the control group. Results were similar across sensitivity and subgroup analyses. Conclusion Our findings on the early impacts of PARHM suggest that it is associated with fewer PAHs. Although, heterogeneous treatment effects by cohort were observed. This study addresses an important gap in the current literature regarding the impact of PARHM on health care utilization. Findings can be used to evaluate the success of PARHM and inform the development and implementation of future APMs across rural settings.
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.
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 | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,016 |
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 découle