[Déterminants du succès d'une démarche provinciale d'usage optimal des antipsychotiques chez les résidents en soins de longue durée selon les acteurs clés impliqués dans l'implantation].

Le Québec présente le taux de prescriptions d'antipsychotiques le plus élevé chez les personnes âgées de 65 ans et plus au Canada. La démarche « Optimiser les pratiques, les usages, les soins et les services - antipsychotiques ¼ (OPUS-AP) vise à pallier cet enjeu. Étant donné ses premiers résultats prometteurs, notre étude visait à identifier les déterminants de son succès. Elle repose sur un devis d'étude de cas regroupant une analyse documentaire et 21 entrevues auprès d'acteurs clés impliqués dans l'implantation. Les résultats mettent en lumière cinq déterminants centraux : 1) une démarche intégrée, collaborative et probante; 2) des communications et des réseaux au service de la démarche; 3) un climat d'implantation favorable aux changements; 4) un engagement et une implication des parties prenantes; et 5) une stratégie d'application des connaissances intégrée et appuyée. Des défis et recommandations pour assurer la pérennisation et la mise à l'échelle d'OPUS-AP et inspirer des démarches similaires sont identifiés.

Case management in primary care for frequent users of healthcare services with chronic diseases and complex care needs: an implementation and realist evaluation protocol.

INTRODUCTION: Significant evidence in the literature supports case management (CM) as an effective intervention to improve care for patients with complex healthcare needs. However, there is still little evidence about the facilitators and barriers to CM implementation in primary care setting. The three specific objectives of this study are to: (1) identify the facilitators and barriers of CM implementation in primary care clinics across Canada; (2) explain and understand the relationships between the actors, contextual factors, mechanisms and outcomes of the CM intervention; (3) identify the next steps towards CM spread in primary care across Canada. METHODS AND ANALYSIS: We will conduct a multiple-case embedded mixed methods study. CM will be implemented in 10 primary care clinics in five Canadian provinces. Three different units of analysis will be embedded to obtain an in-depth understanding of each case: the healthcare system (macro level), the CM intervention in the clinics (meso level) and the individual/patient (micro level). For each objective, the following strategy will be performed: (1) an implementation analysis, (2) a realist evaluation and (3) consensus building among stakeholders using the Technique for Research of Information by Animation of a Group of Experts method. ETHICS AND DISSEMINATION: This study, which received ethics approval, will provide innovative knowledge about facilitators and barriers to implementation of CM in different primary care jurisdictions and will explain how and why different mechanisms operate in different contexts to generate different outcomes among frequent users. Consensual and prioritised statements about next steps for spread of CM in primary care from the perspectives of all stakeholders will be provided. Our results will offer context-sensitive explanations that can better inform local practices and policies and contribute to improve the health of patients with complex healthcare needs who frequently use healthcare services. Ultimately, this will increase the performance of healthcare systems and specifically mitigate ineffective use and costs.

Integrating feedback from a clinical data warehouse into practice organisation.

A patient oriented hospital information system (ARIANE) was inaugurated at the Sherbrooke University hospital (CHUS) in 1990 and a clinical data warehouse (CDW) completed 2004. The CDW is updated from ARIANE every 24h and includes ICD discharge diagnosis data, visit DRG and SNOMED encoding. The data is encrypted on storage. Data is accessed according to institutional approval. To facilitate data access two levels of tool have been made accessible using a web-browser. The first level consists of a 'dashboard' that has a defined design and enables a set of pre-determined dynamic queries about a patient population. This level can be operated with minimal training. The second level uses a convivial database query tool, which requires some prior training. Two prototype dashboards have been designed and evaluated for acceptability. The first for the emergency department enables analysis of patient occupancy. The second for the biochemistry department enables quality assurance evaluation. In most cases worldwide the clinical data warehouse is only beginning to be exploited, often impeded by lack of connection between different enterprise databases. Our CDW is expected rapidly to create a culture change so that clinical practice can be continuously evaluated using compiled data readily available from the electronic health record/hospital information system.