Title |
Prevalence of self-reported multimorbidity in the general population and in primary care practices: a cross-sectional study
|
---|---|
Published in |
BMC Research Notes, June 2016
|
DOI | 10.1186/s13104-016-2121-4 |
Pubmed ID | |
Authors |
Nadjib-Mohamed Mokraoui, Jeannie Haggerty, José Almirall, Martin Fortin |
Abstract |
Settings affect estimation of multimorbidity prevalence. Multimorbidity prevalence was reported to be substantially higher among family practice-based patients than in the general population, but prevalence estimates were obtained with different methods and at different time periods. The aim of the present study was to compare estimates of the prevalence of multimorbidity in the general population and in primary care clinical practices, both measured simultaneously and with the same methods. Cross-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 between 25 and 75 years. A randomly-selected cohort in the general population recruited by telephone, and patients recruited in the waiting room of 12 primary care clinics. Prevalence of multimorbidity was estimated using three operational definitions of multimorbidity: (a) two or more chronic conditions (MM 2+); (b) three or more chronic conditions (MM 3+); and (c) disease burden morbidity assessment score of 10 or higher (DBMA 10+). Prevalence in the general population ranged from 59.4 % (with MM2+) to 16.9 %, (with DBMA10+). In primary care practices, prevalence estimates ranged from 69.5 to 29.5 %. Prevalence estimates of multimorbidity were about 10 % higher in primary care clinical practices than in the sample from the general population. The difference was not importantly affected by the use of different operational definitions of multimorbidity. Also, there was a higher burden of disease among patients attending primary care clinics. The study suggests that the problem of multimorbidity in the two settings is different both quantitatively (a higher proportion of patients with multimorbidity in primary care clinical practices), and qualitatively (a higher disease burden of patients attending primary care clinics). For decision-makers interested in resource allocation, prevalence estimates in samples from primary care practices are more informative than estimates in the general population, but burden of disease should also be considered as it results in more complexity in primary care clinical practices. |
Twitter Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 25% |
United Kingdom | 1 | 13% |
Spain | 1 | 13% |
Unknown | 4 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 2 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Unknown | 55 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 21% |
Student > Doctoral Student | 6 | 11% |
Student > Master | 5 | 9% |
Researcher | 5 | 9% |
Professor | 5 | 9% |
Other | 13 | 23% |
Unknown | 10 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 22 | 39% |
Nursing and Health Professions | 6 | 11% |
Psychology | 3 | 5% |
Social Sciences | 3 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Other | 6 | 11% |
Unknown | 14 | 25% |