Related Experiment Video
Updated: May 11, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Comparisons of multi-morbidity in family practice--issues and biases
Moira Stewart1, Martin Fortin, Helena C Britt
1Centre for Studies in Family Medicine, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada.
Background:
As the population ages, practice and policy need to be guided by accurate estimates of chronic disease burden in primary care.
Objective:
To produce a preliminary set of methodological considerations for cross-sectional and retrospective cohort studies of multi-morbidity in primary care using three studies as examples. Prevalence rate results from the three studies were re-estimated using identical age-sex groups.
Methods:
We compared the methods and results of three separate studies in primary care: (i) patients in the Saguenay region of Quebec, Canada (2005); (ii) a substudy of the BEACH (Bettering the Evaluation and Care of Health) programme in Australia (2008); and (iii) the DELPHI (Deliver Primary Health Care Information) project in South-western Ontario, Canada (2009). Areas where the methods of multi-morbidity studies may differ were identified. The percentage of patients with two or more chronic conditions was compared by age-sex groups.
Results:
Multi-morbidity prevalence varied by as much as 61%, where reported prevalence was 95% among females aged 45-64 in the Saguenay study, 46% in the BEACH substudy and 34% in the DELPHI study. Several aspects of the methods and study designs were identified as differing among the studies, including the sampling of frequent attenders, sampling period, source of data, and both the definition and count of chronic conditions.
Conclusions:
Understanding the differences among the methods used to produce prevalence data on multi-morbidity in primary care can help explain the varying results. Standardization of methods would allow for more valid inter-study comparisons.
Related Concept Videos
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic illness...
Bias in Epidemiological Studies
Factors Affecting Illness
For instance, risk factors are connected to illness, disability,...
Genomics
Methods of Documentation II: POMR
Bioequivalence of Drugs: Drugs with Multiple Indications