| Literature DB >> 32414829 |
Isabelle Vedel1, Carrie McAiney2,3, Yves Couturier4, Sarah Pakzad5, Geneviève Arsenault-Lapierre6, Claire Godard-Sebillotte7, Nadia Sourial7, Rachel Simmons7, Howard Bergman7.
Abstract
INTRODUCTION: Dementia is on the rise in Canada and globally. Ensuring accessibility to diagnosis, treatment and management throughout the course of the disease is a very significant problem worldwide. In order to provide comprehensive care to patients and their caregivers, enhancing primary care-based dementia care is seen as the way forward. In many Canadian provinces various collaborative care models (collCMs) anchored in primary care to improve dementia care have been developed and implemented. The overall objective of our research programme is to identify key factors for the successful implementation of collCMs, and to facilitate dissemination and scale-up of dementia best practices. METHODS AND ANALYSIS: We will use a convergent mixed-methods design. An observational study using chart review (2014-2016) and questionnaires (2014-2018; repeated in 2020) will measure application of guidelines and implementation of collCMs. This study will be complemented with a qualitative descriptive study using interviews (2017-2020) conducted in parallel. Quantitative and qualitative results will be further integrated using a matrix representing sites and findings. An integrated knowledge exchange strategy will ensure uptake by principal stakeholders throughout the research. ETHICS AND DISSEMINATION: Our study has been approved by all relevant ethics committees. Our dissemination plan follows an integrated knowledge transfer strategy using provincial, national and international councils. We will present the results individually to the clinical sites and then to these councils. Our research will be the first provincial and cross jurisdictional evaluation of primary care models for patients living with dementia, providing evidence on the ongoing debate on the respective role of clinicians in primary care and specialists in caring for patients with dementia. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: dementia; health policy; primary care
Mesh:
Year: 2020 PMID: 32414829 PMCID: PMC7232631 DOI: 10.1136/bmjopen-2019-035916
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Flowchart representing the research programme design. collCMs, collaborative care models.
Summary of variables included in the analyses for the observational study with data source
| Type | Variable | Description | Chart review 2014–2016 | Organisational questionnaire | Clinicians’ questionnaire |
| Primary outcome | Quality of dementia follow-up | 10 ACOVE indicators: | X | ||
| Secondary outcomes | Continuity of primary care | Number of visits to the FMGs/FHTs; the number of notes, whether or not they were related to dementia, recorded in the charts by the FMG/FHT health professionals; the proportion of patients who have at least two visits to any clinician in the same FMG/FHT during the time period | X | ||
| Medications management | Proportion of patients with dementia who are treated with dementia medication such as cholinesterase inhibitors or memantine; the proportion of new dementia medications prescribed or initiated; the proportion of new dementia medications initiated by family physician; the proportion of new dementia medications initiated by specialists; and the proportion of patients who are treated with antipsychotics during the period | X | |||
| Explanatory variables | Organisational Best Practices for Dementia Score | See Henein | X | ||
| Index of Conformity to an Ideal Type of primary care setting | See Levesque | X | |||
| Clinician KAP Scores | See Arsenault-Lapierre | X | |||
| Confounders | Patients’ characteristics | Age, sex, comorbidities (number of medications) | X | ||
| FMGs/FHTs demographic information | Number of registered patients, public/private, proximity to memory clinic, university affiliation, rural/urban and socio-economic area based on the FMGs/FHTs postal code, percentage of older patients | X |
ACOVE, Assessing Care of Vulnerable Elders; collCMs, collaborative care models; FHT, Family Health Team; FMG, Family Medicine Group; KAP, knowledge, attitudes and practice.
Data collection timeline for implementation study
| Data source and target population | Date |
| Organisational questionnaire | 2016–2018; repeated 2020 |
| Interviews with patients | 2019 |
| Interviews with Ministry of Health | 2017 and 2020 |
| Interviews with clinicians | 2017 and 2019 |