BackgroundLifestyle factors have been associated mostly with individual chronic diseases. We investigated the relationship between lifestyle factors (individual and combined) and the co-occurrence of multiple chronic diseases.MethodsCross-sectional analysis of results from the Program of Research on the Evolution of a Cohort Investigating Health System Effects (PRECISE) in Quebec, Canada. Subjects aged 45 years and older. A randomly-selected cohort in the general population recruited by telephone. Multimorbidity (3 or more chronic diseases) was measured by a simple count of self-reported chronic diseases from a list of 14. Five lifestyle factors (LFs) were evaluated: 1) smoking habit, 2) alcohol consumption, 3) fruit and vegetable consumption, 4) physical activity, and 5) body mass index (BMI). Each LF was given a score of 1 (unhealthy) if recommended behavioural targets were not achieved and 0 otherwise. The combined effect of unhealthy LFs (ULFs) was evaluated using the total sum of scores.ResultsA total of 1,196 subjects were analyzed. Mean number of ULFs was 2.6 ± 1.1 SD. When ULFs were considered separately, there was an increased likelihood of multimorbidity with low or high BMI [Odd ratio (95% Confidence Interval): men, 1.96 (1.11-3.46); women, 2.57 (1.65-4.00)], and present or past smoker [men, 3.16 (1.74-5.73)]. When combined, in men, 4-5 ULFs increased the likelihood of multimorbidity [5.23 (1.70-16.1)]; in women, starting from a threshold of 2 ULFs [1.95 (1.05-3.62)], accumulating more ULFs progressively increased the likelihood of multimorbidity.ConclusionsThe present study provides support to the association of lifestyle factors and multimorbidity.

BackgroundThe increasing number of patients with chronic diseases represents a challenge for health care systems. The Chronic Care Model suggests a multi-component remodelling of chronic disease services to improve patient outcomes. To meet the complex and ongoing needs of patients, chronic disease prevention and management (CDPM) has been advocated as a key feature of primary care producing better outcomes, greater effectiveness and improved access to services compared to other sectors. The objective of this study is to evaluate the adaptation and implementation of an intervention involving the integration of chronic disease prevention and management (CDPM) services into primary health care.Methods/DesignThe implementation of the intervention will be evaluated using descriptive qualitative methods to collect data from various stakeholders (decision-makers, primary care professionals, CDPM professionals and patients) before, during and after the implementation. The evaluation of the effects will be based on a combination of experimental designs: a randomized trial using a delayed intervention arm (n = 326), a before-and-after design with repeated measures (n = 163), and a quasi-experimental design using a comparative cohort (n = 326). This evaluation will utilize self-report questionnaires measuring self-efficacy, empowerment, comorbidity, health behaviour, functional health status, quality of life, psychological well-being, patient characteristics and co-interventions. The study will take place in eight primary care practices of the Saguenay region of Quebec (Canada). To be included, patients will have to be referred by their primary care provider and present at least one of the following conditions (or their risk factors): diabetes, cardiovascular diseases, chronic obstructive pulmonary disease, asthma. Patients presenting serious cognitive problems will be excluded.DiscussionIn the short-term, improved patient self-efficacy and empowerment are expected. In the mid-term, we expect to observe an improvement in health behaviour, functional health status, quality of life and psychological well-being. At the organizational level, the project should lead to coordinated service delivery, improved patient follow-up mechanisms and enhanced interprofessional collaboration. Integration of CDPM services at the point of care in primary care practices is a promising innovation in care delivery that needs to be thoroughly evaluated.Trial registrationClinicalTrials.gov Identifier: NCT01319656

C hronic conditions are the most common problems in health care and the leading causes of death globally. 1 Acute communicable diseases have given way to chronic conditions such as arthritis, diabetes, and cardiovascular and respiratory diseases that will impose an even greater burden in the future. 2 The needs of patients with these diseases are usually complex and are challenging to manage. For this reason, many chronic disease prevention and management (CDPM) programs have been designed with the aim of improving outcomes in these patients. CDPM programs targeting diabetes, 3-7 asthma, 8,9 heart diseases, [10][11][12] costs, adherence to medication, disease control, use of health services, quality of life and mortality. However, these studies were conducted in different settings and were based on single diseases.Interventions oriented toward single diseases take little account of the multiple morbidities experienced by most patients in primary care. To date, the appropriateness of using Background: Chronic disease prevention and management programs are usually single-disease oriented. Our objective was to evaluate an intervention that targeted multiple chronic conditions and risk factors. Methods:We conducted a pragmatic randomized controlled trial involving patients aged 18-75 years with at least 1 of the targeted chronic conditions or risk factors from 8 primary care practices in the Saguenay region of Quebec, Canada, to evaluate an intervention that included self-management support and patient-centred motivational approaches. Self-management (primary outcome) was evaluated using the Health Education Impact Questionnaire (heiQ). Secondary outcomes included self-efficacy, health-related quality of life, psychological distress and health behaviours.Results: Three hundred thirty-two patients were recruited and randomly assigned (n = 166 for both intervention and control groups) and evaluated after 3 months. The intervention group showed improvement in 6 of the 8 heiQ domains: health-directed behaviour (relative risk [RR] 1.71, 95% confidence interval [CI] 1.13 to 2.59), emotional well-being (RR 1.73, 95% CI 1.07 to 2.79), self-monitoring and insight (RR 2.40, 95% CI 1.19 to 4.86), constructive attitudes and approaches (RR 2.40, 95% CI 1.37 to 4.21), skill and technique acquisition (RR 1.70, 95% CI 1.14 to 2.53), and health service navigation (RR 1.93, 95% CI 1.08 to 3.47). Improvement was also observed in the Physical Component Summary (p = 0.017) and the Single Index (p = 0.041) of the 12-Item Short Form Health Survey (version 2). The intervention group improved in fruit and vegetable consumption (odds ratio [OR] 2.36, 95% CI 1.41 to 3.95) and physical activity (OR 3.81, 95% CI 1.65 to 8.76). One-year improvement was maintained in the intervention group for several outcomes.Interpretation: It is possible to implement an intervention integrating chronic disease prevention and management services into primary care settings. We obtained positive and promising results using this intervention.

Background Polypharmacy carries the risk of adverse events, especially in people with multimorbidity. Objective To investigate the prevalence of polypharmacy in community-dwelling adults, the association of multimorbidity with polypharmacy and the use of medications for primary prevention. Methods Cross-sectional analysis of the follow-up data from the Program of Research on the Evolution of a Cohort Investigating Health System Effects (PRECISE) in Quebec, Canada. Multimorbidity was defined as the presence of three or more chronic diseases and polypharmacy as self-reported concurrent use of five or more medications. Primary prevention was conceptualized as the use of statin or low-dose antiplatelets without a reported diagnostic of cardiovascular disease. Results Mean age 56.7 ± 11.6, 62.5% female, 30.3% had multimorbidity, 31.9% had polypharmacy (n = 971). The most common drugs used were statins, renin–angiotensin system inhibitors and psychotropics. Compared to participants without any chronic disease, the adjusted odds ratios (ORs) for having polypharmacy were 2.78 [95% confidence interval (CI): 1.23–6.28] in those with one chronic disease, 8.88 (95% CI: 4.06–19.20) in those with two chronic diseases and 25.31 (95% CI: 11.77–54.41) in those with three or more chronic diseases, P < 0.001. In participants without history of cardiovascular diseases, 16.2% were using antiplatelets and 28.5% were using statins. Multimorbidity was associated with increased likelihood of using antiplatelets (adjusted OR: 2.98, 95% CI: 1.98–4.48, P < 0.001) and statins (adjusted OR: 3.76, 95% CI: 2.63–5.37, P < 0.001) for primary prevention. Conclusion There was a high prevalence of polypharmacy in community-dwelling adults in Quebec and a strong association with multimorbidity. The use of medications for primary prevention may contribute to polypharmacy and raise questions about safety.