Prevalence of self-reported multimorbidity in the general population and in primary care practices: a cross-sectional study.
BACKGROUND
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.


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+).


RESULTS
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.


CONCLUSIONS
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.
Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada.
Nadjib-Mohamed
NM
Mokraoui
Faculty of Medicine, McGill University, Montreal, Canada.
Jeannie
J
Haggerty
Département de médecine de famille et de médecine d'urgence, Université de Sherbrooke, 2500 boul. de l'Université, Sherbrooke, QC, J1K 2R1, Canada.
José
J
Almirall
Département de médecine de famille et de médecine d'urgence, Université de Sherbrooke, 2500 boul. de l'Université, Sherbrooke, QC, J1K 2R1, Canada. Martin.Fortin@USherbrooke.ca.|Unité de médecine de famille, 305 St-Vallier, Chicoutimi, PQ, G7H 5H6, Canada. Martin.Fortin@USherbrooke.ca.
Martin
M
Fortin
D000328:Adult; D000368:Aged; D016009:Chi-Square Distribution; D002908:Chronic Disease / Q000453:epidemiology*; D015331:Cohort Studies; D015897:Comorbidity; D003430:Cross-Sectional Studies; D005260:Female; D006304:Health Status; D006801:Humans; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D011320:Primary Health Care / Q000706:statistics & numerical data*; D011792:Quebec / Q000453:epidemiology; D057566:Self Report; D012923:Social Class
General population; Multimorbidity; Prevalence; Primary care