Abstract
Background:
The Quebec Alzheimer Plan aims to improve care provided to patients with neurocognitive disorders in Family Medicine Groups (FMGs) (multidisciplinary team-based primary care practices). The objective of this study was to determine changes in the detection and management of neurocognitive disorders following implementation of the plan, in 2014.
Methods:
This was a retrospective chart review before and after implementation of the Quebec Alzheimer Plan in 13 FMGs. We reviewed 1919 randomly selected charts of patients aged 75 years or more and 945 randomly selected charts of patients in this age group with neurocognitive disorders. In the first group, selected outcomes were proportion of patients with documentation of cognitive status, documented diagnosis of neurocognitive disorder, documented cognitive testing and referral to a memory clinic. In patients with neurocognitive disorders, the outcomes were number of contacts with an FMG, quality of follow-up score (documented assessments in 10 domains: cognitive testing, functional status, behavioural and psychological symptoms of dementia, weight, caregiver needs, driving status, home care needs, community service needs, absence of anticholinergic medication and management of dementia medications) and proportion referred to a memory clinic.
Results:
Significantly more patients aged 75 or more had documentation of cognitive status in their chart after plan implementation than before implementation (440 [45.1%] v. 351 [37.2%]) (odds ratio [OR] 1.46, 95% confidence interval [CI] 1.18–1.81). No significant changes were found in documented diagnosis of neurocognitive disorders, cognitive testing or referral to a memory clinic. Among patients with neurocognitive disorders, the number of contacts with an FMG (adjusted mean difference 1.6, 95% CI 0.3–2.8) and quality of follow-up score (adjusted mean difference 6.6, 95% CI 3.9–9.2) increased significantly, without significant changes in the number of referrals to a memory clinic.
Interpretation:
The results suggest that the Quebec Alzheimer Plan is feasible and beneficial in terms of detection and management of neurocognitive disorders, without an increase in referral to specialists. The findings will be used to scale up the Quebec Alzheimer Plan and to develop the Canadian federal dementia strategy.
Neurocognitive disorders are a major concern worldwide. 1 Today, an estimated 35.6 million people are affected, and this number is expected to double by 2030.1 Nevertheless, the identification, treatment and management of patients with neurocognitive disorders remains suboptimal. Deficiencies in cognitive evaluation and delayed diagnosis result in only half of patients’ being identifed.2 Inappropriate referral of typical cases to specialists3 results in increased wait times for referred patients.4 People with neurocognitive disorders also experience inadequate treatment and poor quality of care, including use of potentially inappropriate medication, and poor support for their caregivers,5,6 which increases the risk of adverse outcomes.6–9 To address these challenges, the World Health Organization has called neurocognitive disorders a public health priority and has encouraged countries to develop dementia action plans.1,10 Worldwide, 32 national and subnational plans exist.11 In the last 2 decades, several Canadian provinces have developed or are developing plans, and a national dementia strategy has been proposed.12 A particularity of the Canadian plans is that they are rooted in primary health care, which follows the recommendations of Canadian guidelines on dementia care.13,14 The first phase of the Quebec Alzheimer Plan15 was implemented in 201416 in 42 Family Medicine Groups (FMGs), which are multidisciplinary team-based primary care practices.17,18 A detailed description of the plan is presented in Appendix 1 (available at www.cmajopen.ca/content/7/2/E391/suppl/DC1).
A particularity of the Quebec Alzheimer Plan is that it includes an evaluation strategy. To date, only the French and UK plans included an evaluation plan; neither focuses on primary health care.19–21 Moreover, to our knowledge, none of the Canadian plans, which do focus on primary care, have been evaluated. It is thus not clear whether plans based in primary health care improve the care provided to patients with neurocognitive disorders. Our team was mandated by the Quebec Ministry of Health and Social Services to conduct an evaluation to inform a province-wide scale-up. Our study aimed to provide an early-phase evaluation and to determine whether the detection and management of neurocognitive disorders among older patients in primary health care improved after implementation of the Quebec Alzheimer Plan.
Methods
Design
We used a retrospective review of independent, randomly selected patient charts before and after implementation of the Quebec Alzheimer Plan to measure the plan’s impact. We selected this design over a traditional pre–post evaluation as it mimics more closely a randomized controlled trial.22 The chart review was performed in 13 of the 42 FMGs that participated in the first phase of the plan. We selected these 13 FMGs because they were part of public health organizations, which allowed access to charts for research purposes, and they included enough patients to meet sample size requirements (Appendix 2, available at www.cmajopen.ca/content/7/2/E391/suppl/DC1). Two 9-month periods were considered: a period preceding implementation of the plan (Oct. 1, 2011, to July 1, 2012) and a period following implementation (Oct. 1, 2014, to July 1, 2015). For 6 recently created FMGs, the pre period was Oct. 1, 2012, to July 1, 2013 (Appendix 3, available at www.cmajopen.ca/content/7/2/E391/suppl/DC1). We chose these identical calendar periods to control for seasonal effects and to avoid summer vacation.
This study used a participatory research approach23,24 whereby decision-makers, clinicians, patient/caregiver representatives and researchers were involved as coinvestigators during every phase of the study.
Study populations and outcomes
We obtained chart data for 2 samples: patients aged 75 years or more, and patients aged 75 years or more with neurocognitive disorders. We selected the cut-off of 75 years to ensure a sufficient number of eligible charts of patients with neurocognitive disorders, given the high prevalence of dementia in this population.25 For both populations, only patients with a visit to the FMG during the relevant study period were eligible. To ensure independence and avoid overlap, only charts not assessed in the pre period were selected in the post period.
The population of patients aged 75 or more served to obtain data on outcome indicators around the detection of neurocognitive disorders: documentation of cognitive status (note regarding normal cognition, concerns of possible decline by clinician or caregiver, results from cognitive test scores or dementia diagnosis), documented diagnosis of a neurocognitive disorder (dementia, mild cognitive impairment or unspecified neurocognitive disorder), cognitive testing, referral to a memory clinic and justification for referral. Referrals were considered justified if there was an uncertain or differential diagnosis, the presence of depression or behavioural issues, family request or genetic testing. Blank referrals and those including a cognitive status test score without further evaluation were considered unjustified.14,15
We collected additional data for patients with neurocognitive disorders to examine indicators of the management and quality of follow-up care. Indicators were the number of contacts with the FMG (in person or by telephone), a quality of follow-up score, use of antipsychotic medication, use of memantine or cholinesterase inhibitors prescribed by the FMG, number of referrals to a memory clinic following diagnosis and justification for referral. Antipsychotic medication included medications belonging to the phenothiazine, butyrophenone, thioxanthene or atypical antipsychotic classification as per the American Hospital Formulary Service Pharmacologic–Therapeutic Classification through Health Canada Drug Product Database online query.26
We based our quality of follow-up indicators on validated tools,27 current recommendations and consensus guidelines. 14,15,27,28 These indicators consisted of documented assessments in 10 domains: cognitive testing, functional status, behavioural and psychological symptoms of dementia, weight, caregiver needs, driving status, home care needs, community service needs (e.g., Alzheimer Society), absence of anticholinergic medication and management of dementia medications. For the identification of anticholinergic medication, we used the Beers criteria, based on the Anatomical Therapeutic Chemical classification system.29 The score was based on the validated Assessing Care of Vulnerable Elders-3 approach27 and was calculated by summing the number of indicators performed divided by the number of eligible indicators for each patient. We assessed patients’ eligibility for each indicator over the study period (e.g., patients who no longer drove would not need a driving evaluation).
We measured site- and patient-level characteristics.
Data collection
Administrative lists of patients aged 75 years or more were extracted and anonymized. Charts were randomly selected from the lists. We first identified charts of patients aged 75 years or more. For patients in this age group with neurocognitive disorders, we also used an existing vulnerability code in the administrative lists to narrow the search for neurocognitive disorders. Data were collected from the charts and then entered into a secure Web-based database. We tested and refined the database and a detailed 23-page instruction manual through a pilot study.30
Stringent quality-control measures were put in place during data collection. A senior research nurse trained and monitored a group of 12 research nurses and assistants to conduct the chart review. She performed ongoing quality-control checks for each chart and followed up with the team regarding inconsistencies or data entry errors. The statistician involved in the study also conducted quality-control analyses to uncover irregularities. Problematic entries were reassessed and errors corrected if needed. Because of this close monitoring, there were no missing data for any of the variables studied.
Statistical analysis
To determine whether the detection and management of neurocognitive disorders changed after the Quebec Alzheimer Plan was implemented, we analyzed the association between study period (before and after implementation) and the study outcomes, adjusting for patient characteristics (age, sex and number of medications). The number of medications is considered a suitable proxy for the level of comorbidity given the incomplete data in the charts on active chronic diseases and the high correlation between the number of medications and number of conditions. 31 We fitted a linear and logistic mixed-effects model for continuous and binary outcomes, respectively. As patients within sites were likely more similar than patients across sites, we adjusted the models for the clustered nature of the data by including a site identifier associated with each patient as a random effect in the model. The value of the intraclass correlation coefficient was obtained for each outcome. We used the SAS procedures PROC MIXED and PROC GLIMMIX (SAS 9.3, SAS Institute) to model the associations.
Ethics approval
The study was approved by the Research Ethics Board of the Centre intégré universitaire de santé et de services sociaux of West-Central Montréal and the ethics committees affiliated with each FMG. Institutional authorization was obtained from each regional health organization where applicable.
Results
Of the 13 FMGs, 7 (54%) were university-affiliated, and 6 (46%) were in urban locations (Appendix 3). The median number of registered patients per site was 16 696 (interquartile range 9080–26 408). The median number of full-time-equivalent physicians was 18 (interquartile range 15–20).
Of 3568 potential charts, 1195 (33.5%) were excluded (Figure 1). Data for 1919 patients aged 75 years or more and 945 patients aged 75 or more with neurocognitive disorders were collected. The majority of patients in the former group were women (574 [60.8%] before plan implementation and 577 [59.2%] after) (Table 1). The mean patient age was 81.9 years (standard deviation [SD] 5.0 yr) and 81.7 years (SD 5.0 yr) in the 2 periods, respectively. Patients aged 75 or more with neurocognitive disorders were also predominantly female (286 [62.9%] before plan implementation and 300 [61.2%] after) (Table 2). The corresponding mean patient age was 84.0 (SD 5.3) years and 83.6 (SD 5.1) years. The main types of neurocognitive disorders before and after plan implementation were dementia (304 [66.8%] and 299 [61.0%], respectively), unspecified neurocognitive disorders (82 [18.0%] and 107 [21.8%], respectively) and mild cognitive impairment (70 [15.4%] and 84 [17.1%], respectively) (Table 2).
Table 1:
Characteristic | No. (%) of patients* | |
---|---|---|
Before n = 944 |
After n = 975 |
|
Female sex | 574 (60.8) | 577 (59.2) |
Age, yr, mean ± SD | 81.9 ± 5.0 | 81.7 ± 5.0 |
Age group, yr | ||
75–79 | 408 (43.2) | 439 (45.0) |
80–84 | 286 (30.3) | 299 (30.7) |
≥ 85 | 250 (26.5) | 237 (24.3) |
No. of medications, mean ± SD | 11.3 ± 6.9 | 11.8 ± 6.9 |
Living alone | ||
Yes | 179 (19.0) | 204 (20.9) |
No | 458 (48.5) | 495 (50.8) |
Missing | 307 (32.5) | 276 (28.3) |
Note: SD = standard deviation.
Except where noted otherwise.
Table 2:
Characteristic | No. (%) of patients* | |
---|---|---|
Before n = 455 |
After n = 490 |
|
Female sex | 286 (62.9) | 300 (61.2) |
Age, yr, mean ± SD | 84.0 ± 5.3 | 83.6 ± 5.1 |
Age group, yr | ||
75–79 | 118 (25.9) | 137 (28.0) |
80–84 | 149 (32.8) | 174 (35.5) |
≥ 85 | 188 (41.3) | 179 (36.5) |
No. of medications, mean ± SD | 12.7 ± 6.8 | 13.6 ± 7.2 |
Type of neurocognitive disorder | ||
Dementia | 304 (66.8) | 299 (61.0) |
Alzheimer disease | 117 (38.5) | 141 (47.2) |
Vascular | 18 (5.9) | 17 (5.7) |
Mixed | 88 (29.0) | 58 (19.4) |
Lewy body | 12 (4.0) | 5 (1.7) |
Frontotemporal | 3 (1.0) | 1 (0.3) |
Other | 4 (1.3) | 2 (0.7) |
Unspecified | 62 (20.4) | 75 (25.1) |
Mild cognitive impairment | 70 (15.4) | 84 (17.1) |
Unspecified | 82 (18.0) | 107 (21.8) |
Living alone | ||
Yes | 64 (14.1) | 83 (16.9) |
No | 343 (75.4) | 372 (75.9) |
Missing | 48 (10.6) | 35 (7.1) |
Note: SD = standard deviation.
Except where noted otherwise.
Significantly more patients aged 75 or more had documentation of cognitive status in their chart after plan implementation than before implementation (440 [45.1%] v. 351 [37.2%]) (odds ratio [OR] 1.46, 95% confidence interval [CI] 1.18–1.81) (Table 3). The corresponding numbers of patients with neurocognitive disorders were 255 (26.2%) and 208 (22.0%) (OR 1.25, 95% CI 0.98–1.60); this difference did not reach statistical significance. No change was detected in the proportion of patients aged 75 or more who underwent cognitive testing between the 2 periods (137/940 [14.6%] before implementation and 166/972 [17.1%] after implementation) (OR 1.21, 95% CI 0.92–1.60) or were referred to a memory clinic (22/886 [2.5%] and 19/901 [2.1%], respectively) (OR 0.84, 95% CI 0.42–1.68). Most of the referrals before and after implementation were justified (14/22 [64%] and 16/19 [84%], respectively).
Table 3:
Variable | No. (%) of patients | OR (95% Cl) | ICC | |
---|---|---|---|---|
Before n = 944 |
After n = 975 |
|||
Documentation of cognitive status | 351 (37.2) | 440 (45.1) | 1.46 (1.18–1.81) | 0.03 |
Documented diagnosis of neurocognitive disorder | 208 (22.0) | 255 (26.2) | 1.25 (0.98–1.60) | 0.02 |
Dementia | 127 (13.4) | 141 (14.5) | – | – |
Mild cognitive impairment | 41 (4.3) | 52 (5.3) | – | – |
Unspecified | 40 (4.2) | 62 (6.4) | – | - |
No documented diagnosis of neurocognitive disorder | 736 (78.0) | 720 (73.8) | – | – |
Cognitive testing† | 137 (14.6) n = 940 |
166 (17.1) n = 972 |
1.21 (0.92–1.60) | 0.03 |
Referral to memory clinic‡ | 22 (2.5) n = 886 |
19 (2.1) n = 901 |
0.84 (0.42–1.68) | 0.04 |
Justified referral§¶** | 14 (63.6) | 16 (84.2) | – | – |
Uncertainty | 6 (42.9) | 7 (43.8) | – | – |
Family request | 1 (7.1) | 5 (31.2) | ||
Presence of depression | 1 (7.1) | 2 (12.5) | – | – |
Complex medication management | 3 (21.4) | 0 (0.0) | ||
Complex patient management | 6 (42.9) | 6 (37.5) | – | – |
Other reason¶†† | 2 (9.1) | 0 (0.0) | ||
Unjustified referral¶ | 6 (27.3) | 3 (15.8) | – | – |
No prior evaluation | 3 (50.0) | 2 (66.7) | – | – |
Blank referral | 3 (50.0) | 1 (33.3) | – | – |
Note: CI = confidence interval, ICC = intraclass correlation coefficient, OR = odds ratio.
Model estimates adjusted for age, sex and number of medications.
Excluding patients who refused the evaluation.
Excluding patients referred before the study period.
Proportions of subgroups.
There could be more than 1 reason for referral.
Documented reasons not mentioned in Canadian guidelines.
Among patients with neurocognitive disorders, the mean number of contacts with an FMG increased significantly after plan implementation, from 7.9 (SD 10.2) to 9.9 (SD 9.7) (adjusted mean difference 1.57, 95% CI 0.30–2.84) (Table 4). A significant increase in the mean quality of follow-up score was observed, from 48.0 (SD 20.0) to 54.6 (SD 18.8) (adjusted mean difference 6.58, 95% CI 3.92–9.23). All except 2 (cognitive testing and no anticholinergic medications) of the 10 indicators in the quality follow-up score improved after plan implementation. A significant decrease in the number of patients receiving antipsychotic medication was observed, from 117 (25.7%) before implementation to 98 (20.0%) after implementation (OR 0.66, 95% CI 0.47–0.95). Last, no change was detected in the proportion of patients referred to a memory clinic following diagnosis (40/338 [11.8%] before implementation v. 29/340 [8.5%] after implementation [OR 0.66, 95% CI 0.37–1.16]). Most postdiagnosis referrals were justified both before and after implementation (31/40 [78%] and 27/29 [93%], respectively).
Table 4:
Variable | No. (%) of patients† | Adjusted mean difference (95% Cl) | ICC | |
---|---|---|---|---|
Before n = 455 |
After n = 490 |
|||
No. of contacts with Family Medicine Group, mean ± SD | 7.9 ± 10.2 | 9.9 ± 9.7 | 1.57 (0.30–2.84) | 0.12 |
Quality of follow-up score, mean ± SD | 48.0 ± 20.0 | 54.6 ± 18.8 | 6.58 (3.92–9.23) | 0.08 |
Cognitive testing‡ | 226 (50.1) n = 451 |
239 (49.2) n = 486 |
– | – |
Evaluation of functional status | 317 (69.7) | 397 (81.0) | – | – |
Evaluation of behavioural and psychological symptoms of dementia | 318 (69.9) | 398 (81.2) | – | – |
Evaluation of weight‡§ | 265 (59.3) n = 447 |
346 (70.9) n = 488 |
– | – |
Evaluation of caregiver needs¶ | 107 (24.0) n = 445 |
133 (28.0) n = 475 |
– | – |
Documentation of driving status¶ | 52 (13.1) n = 398 |
98 (23.7) n = 414 |
– | – |
No anticholinergic medication | 385 (84.6) | 396 (80.8) | – | – |
Evaluation of home-based service needs | 237 (52.1) | 294 (60.0) | – | – |
Evaluation of community service needs | 8 (1.8) | 33 (6.7) | – | – |
Management of dementia medications (memantine and cholinesterase inhibitors)** | 94 (54.3) n = 173 |
105 (66.9) n = 157 |
– | – |
OR (95% Cl) | ||||
Antipsychotic medication | 117 (25.7) | 98 (20.0) | 0.66 (0.47–0.95) | 0.04 |
Memantine or cholinesterase inhibitors prescribed by Family Medicine Group†† | 27 (71.0) n = 38 |
26 (72.2) n = 36 |
0.81 (0.23–2.81) | 0.01 |
Referral to memory clinic after diagnosis‡‡ | 40 (11.8) n = 338 |
29 (8.5) n = 340 |
0.66 (0.37–1.16) | 0.001 |
Justified referral§§¶¶ | 31 (77.5) | 27 (93.1) | – | – |
Uncertainty | 14 (45.2) | 16 (59.3) | – | – |
Family request | 4 (12.9) | 6 (22.2) | – | – |
Presence of depression | 2 (6.4) | 3 (11.1) | – | – |
Complex medication management | 4 (12.9) | 0 (0.0) | – | – |
Complex patient management | 11 (35.5) | 10 (37.0) | – | – |
Other reason§§ | 1 (2.5) | 0 (0.0) | – | – |
Unjustified referral§§ | 8 (20.0) | 2 (6.9) | – | – |
No prior evaluation | 4 (50.0) | 1 (50.0) | – | – |
No justification | 4 (50.0) | 1 (50.0) | – | – |
Note: CI = confidence interval, ICC = intraclass correlation coefficient, OR = odds ratio, SD = standard deviation.
Model estimates adjusted for age, sex and number of medications.
Except where noted otherwise.
Excluding patients who refused the evaluation.
Excluding patients for whom the evaluation was not feasible.
Excluding patients for whom the evaluation was not applicable.
Excluding patients who did not take medication or did not had a follow-up visit after the prescription.
Excluding patients who received their prescription before the study period or did not take medication.
Excluding patients referred before the study period.
Proportions of subgroups.
There could be more than 1 reason for referral.
Interpretation
Our results showed that, following implementation of the Quebec Alzheimer Plan, the detection of neurocognitive disorders in patients aged 75 years or more improved, as reflected by increased documentation of cognitive status. Moreover, the intensity and quality of management of patients in this age group with neurocognitive disorders also improved, with an increase in the number of contacts with FMGs and the quality of follow-up score and a decrease in antipsychotic medication use.
The increased documentation of cognitive status among patients aged 75 or more suggests that family physicians were more aware of the importance of diagnosing neurocognitive disorders in their patients. This was similar to results in one of the few other plans evaluated, the UK National Dementia Strategy.32 However, contrary to the specialist-centred UK strategy, we observed this improvement in documentation of cognitive status without an increase in the number of referrals to memory clinics. This suggests that the primary care focus of the Quebec Alzheimer Plan may have empowered family physicians to diagnose neurocognitive disorders without overly relying on specialists.
In older patients with neurocognitive disorders, we observed an increase in the number of contacts (face-to-face or via telephone or email) with FMGs. This is similar to what was found with a collaborative care model in the United States.33 The Quebec Alzheimer Plan also resulted in better management of patients with neurocognitive disorders, as measured by the quality of follow-up score. Similar findings were observed in other intervention studies that looked at compliance with a list of indicators of quality of dementia care.34,35 Vickrey and colleagues34 compared the charts of patients with dementia who received an intervention aimed at improving their care to those of patients with dementia who received usual care and found better compliance in the intervention group (64% v. 33%). Reuben and colleagues35 compared the charts of patients with dementia before and after a quality-of-care intervention and found higher compliance with quality indicators after the intervention (38% v. 46%). Direct comparison of quality scores is, however, difficult given differences in the indicators used. However, similar to these 2 studies, our study showed that clinicians performed more functional status assessments and evaluation of behavioural and psychological symptoms of dementia following implementation of the Quebec Alzheimer Plan. Like Vickrey and colleagues,34 we found an improvement in the evaluation of driving status; however, the proportion of patients in whom driving was evaluated was lower than in their study. We found an improvement in documentation of management of dementia medications, whereas Reuben and colleagues35 showed a decrease in the rate of documented discussion of cholinesterase inhibitors. There was a decrease in the number of patients receiving antipsychotics after implementation of the Quebec Alzheimer Plan. This may have been due to training of family physicians, but after plan implementation these rates still remained in the range of what has been found in Canada without an intervention,36 and the improvement was lower than that reported by Reuben and colleagues.35 An intervention specifically focused on deprescribing antipsychotics could be added to the Quebec Alzheimer Plan.37 Some indicators of the quality of follow-up — evaluation of caregiver needs, of driving status and of community service needs — were performed in less than 50% of patients with neurocognitive disorders, even after plan implementation. Evaluation of caregiver needs and of driving ability is difficult, and clinicians may not feel adequately equipped to perform these evaluations.5 Clinicians are also not usually fully aware of existing community services. 5,38 For these indicators, several targeted interventions at the clinical or organizational levels could be added to the plan.
Limitations
Although we could not conduct a randomized controlled trial, using randomly selected independent charts in both study periods allowed us to more closely mimic a randomized controlled trial than other quasi-experimental designs.22 The random selection of charts in the 2 periods ensured representative samples of the target population. We used a pre–post design, the best possible design given that implementation of the Quebec Alzheimer Plan was a natural experiment. In addition, the chart review allowed us to capture not only inperson physician visits but also contacts with nurses, a key aspect of FMGs, as well as telephone calls. The monitoring of data collection yielded high-quality data (no missing data). Although we could not account for potential temporal trends, our qualitative assessments (results not shown) provided support that no other interventions were ongoing during the study period that could have contributed to the observed changes. Chart reviews measure only what is documented in patients’ files. However, it has been shown that increased quality of documentation is predictive of increased quality of care.39 Finally, we chose a post period early after plan implementation because of the need for rapid knowledge transfer to the Quebec Ministry of Health and Social Services before province-wide scale-up. The observed differences are thus a conservative estimation.
Conclusion
Our study contributes important knowledge on the early-phase evaluation of a dementia action plan centred in primary health care. The findings will be used to scale up the Quebec Alzheimer Plan and to develop the Canadian federal dementia strategy. Our results suggest that it is feasible and beneficial to anchor dementia plans in primary health care and that a plan centred in primary care can improve the capacity of family physicians in FMGs to provide dementia care. It seems essential that policy-makers, health care managers and clinicians be more confident in the capacity of family physicians to care for patients with neurocognitive disorders.
Supplementary Material
Acknowledgements
This work would not have been possible without the contribution of many members of the research team. The authors acknowledge the work of Marine Hardouin, Mary Henein, Zoë Tremblay, Lucie Vaillancourt, Mélanie Le Berre, Rachel Simmons, Maxime Guillette, Yves Couturier, Matthew Hacker Teper, Muriel Gueriton, Martin Beauchamp, Geva Maimon, Dominique Tremblay, Sarah Ousalem, Lise Messier, and Chantal Boislard. Anne-Marie Simard, Christine Fournier, Christian Boutin and Eric Maubert from the Quebec Ministry of Health and Social Services also helped with the selection of outcomes and provided useful contact information. The authors extend their appreciation to patients and caregivers’ representatives and the many local project managers, family physicians, nurses, administrative coordinators, archivists and medical directors from the Family Medicine Groups participating in the Quebec Alzheimer Plan for their help with data collection.
Footnotes
Competing interests: None declared.
This article has been peer reviewed.
Contributors: Isabelle Vedel, Nadia Sourial and Genevieve Arsenault-Lapierre contributed to drafting the manuscript, and Claire Godard-Sebillotte and Howard Bergman critically appraised it for important intellectual content. All of the authors contributed to the study conception and design, and interpretation of results, approved the version to be published and agreed to be accountable for all aspects of the work.
Funding: This work was supported by the Fonds de recherche du Québec – Santé and grant CNA-137794 from the Canadian Consortium on Neurodegeneration in Aging, Canadian Institutes of Health Research.
Disclaimer: The funders had no role in the study design, data collection or interpretation, or conclusions.
Supplemental information: For reviewer comments and the original submission of this manuscript, please see www.cmajopen.ca/content/7/2/E391/suppl/DC1.
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