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Enregistrement W7162080930 · doi:10.82308/89

The association of primary care continuity with avoidable emergency department visits and hospitalizations for older adults living in Québec: An inverse probability of treatment weighting analysis

2024· dissertation· en· W7162080930 sur OpenAlexaboutno aff
Giovanna Busa

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineHealth Professions
ThématiquePrimary Care and Health Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEmergency departmentPrimary careInverse probability weightingConfoundingContinuity of carePropensity score matchingHealth carePopulationCohort

Résumé

récupéré en direct d'OpenAlex

Background: Avoidable hospitalizations, which refer to hospitalizations for a condition that could have been prevented with appropriate and effective primary care, disproportionally occur among older adults. Indeed, about half of avoidable hospitalizations occur among older adults and this number could be on the rise given Canada’s population aging. The high prevalence of avoidable hospitalizations may signify issues in treating older adults in the primary healthcare system. One avenue to prevent avoidable hospitalizations is primary care continuity which enables better management of long-term conditions and allows for earlier detection and treatment of acute events and in turn, prevents avoidable hospitalizations. Scant studies have accurately accounted for confounding when studying the impact of primary care continuity on avoidable outcomes. In addition, the association between primary care continuity and avoidable hospitalizations has been seldom explored in Québec. This study aims to measure the association between primary care continuity and avoidable emergency department visits and avoidable hospitalizations among older adults. Design: Retrospective cohort (2005-2016), with inverse probability of treatment weighting using propensity scores. Data: The Care Trajectories-Enriched Data (TorSaDE) cohort, which links patient-reported socio-demographic information from survey data (Canadian Community Health Survey) with Québec provincial health administrative data (Régie de l’assurance maladie du Québec (RAMQ)). Inclusion: Participants (n= 15,256) were 65+ years old and had ≥ 2 primary care visits in the year prior to survey completion. Participants were followed for 1 year, or until death. Exposure: High or low relational primary care continuity as defined by the validated Usual Provider of Care Index (UPC) and measured during the year prior to CCHS completion. Outcome: Measured during 1 year after CCHS completion. Primary: high or low avoidable emergency department visits and hospitalizations as defined by a validated list of ambulatory care-sensitive conditions. Secondary: High or low all-cause emergency department visits or hospitalizations. Results: Among the 15,256 respondents, the mean age was 74.41 years (Standard deviation (SD)=6.95) and 59.2% were female. The average number of visits per year with a general physician were 4.36 (SD=3.17) and the average UPC score was 0.87(SD=0.20). Among the respondents, 65% had high primary care continuity; this subgroup was characterized by a higher prevalence of men and residents in rural areas and of lower household income and greater medical need. The weighted sample was balanced by covariates and thus there were only negligible differences between the control and treatment group. There was a total of 10251 all-cause emergency department visits, 5135 all-cause hospitalization visits, 1186 Ambulatory Care Sensitive Condition (ACSC) emergency department visits, and 542 ACSC hospitalizations. Thus, approximately 12 % of all emergency department visits and 11% of all hospitalizations were potentially avoidable. 5198 (34%) and 3412 (22%) of respondents experienced at least one emergency department visit or hospitalization respectively. 864 (5.7%) respondents experienced at least one ACSC emergency department visits while 308 (2.0%) experienced at least one ACSC hospitalization. High primary care continuity was associated with lower odds of all-cause hospitalization 0.935(95% confidence interval, CI [0.875-0.999] p <0.05) but not all-cause emergency 0.976 (95% CI [0.921-1.035] p= 0.422). High primary care continuity was associated with a higher odds of avoidable emergency department visits but not associated with avoidable hospitalizations. The odds ratios were 1.131 (95% CI [1.002-1.276] p<0.05) and 1.127(95%CI [0.923-1.376] respectively.Conclusion: High primary care continuity may be an avenue for reducing hospitalizations for older adults in Québec, but more research is needed to understand its influence on avoidable outcomes

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,019
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,081
Score d'incertitude au seuil0,163

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,019
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,003
Bibliométrie0,0020,003
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0020,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,013
Tête enseignante GPT0,340
Écart entre enseignants0,327 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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
Publié2024
Routes d'admission1
Résumé présentoui

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