1. Case management in primary healthcare for people with complex needs to improve integrated care: a large-scale implementation study protocol.
- Author
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Hudon C, Chouinard MC, Doucet S, Piccinini-Vallis H, Fairman K, Sampalli T, Zed J, Brodeur M, Chênevert D, Dépelteau A, Dupont M, Karam M, Légaré F, Luke A, Macdonald M, Morvannou A, Ramsden VR, Rodriguez Del Barrio L, Wong ST, Lambert M, Bisson M, Schwarz C, Benoit R, Poirier MD, Rock-Hervieux AL, Rubenstein D, and Wilhelm L
- Subjects
- Humans, Canada, Research Design, Primary Health Care organization & administration, Delivery of Health Care, Integrated organization & administration, Case Management organization & administration
- Abstract
Introduction: Case management (CM) is among the most studied effective models of integrated care for people with complex needs. The goal of this study is to scale up and assess CM in primary healthcare for people with complex needs., Methods and Analysis: The research questions are: (1) which mechanisms contribute to the successful scale-up of CM for people with complex needs in primary healthcare?; (2) how do contextual factors within primary healthcare organisations contribute to these mechanisms? and (3) what are the relationships between the actors, contextual factors, mechanisms and outcomes when scaling-up CM for people with complex needs in primary healthcare? We will conduct a mixed methods Canadian interprovincial project in Quebec, New-Brunswick and Nova Scotia. It will include a scale-up phase and an evaluation phase. At inception, a scale-up committee will be formed in each province to oversee the scale-up phase. We will assess scale-up using a realist evaluation guided by the RAMESES checklist to develop an initial programme theory on CM scale-up. Then we will test and refine the programme theory using a mixed-methods multiple case study with 10 cases, each case being the scalable unit of the intervention in a region. Each primary care clinic within the case will recruit 30 adult patients with complex needs who frequently use healthcare services. Qualitative data will be used to identify contexts, mechanisms and certain outcomes for developing context-mechanism-outcome configurations. Quantitative data will be used to describe patient characteristics and measure scale-up outcomes., Ethics and Dissemination: Ethics approval was obtained. Engaging researchers, decision-makers, clinicians and patient partners on the study Steering Committee will foster knowledge mobilisation and impact. The dissemination plan will be developed with the Steering Committee with messages and dissemination methods targeted for each audience., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2024
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