Cited by 987Chronic Disease Management StrategiesPrimary Care and Health OutcomesPharmaceutical Practices and Patient Outcomes

The DOI matches its Crossref record; 21 of the 22 references it cites were found in a registry or an index; none of the 8 sources its claims cite is checked for support yet.

Prevalence of Multimorbidity Among Adults Seen in Family Practice

Open access
Fortin, M.·2005·The Annals of Family Medicine

Abstract

PURPOSE: There are few valid data that describe the extent of multimorbidity in primary care patients. The purpose of this study was to estimate its prevalence in family practice patients by counting the number of chronic medical conditions and using a measure that considers the severity of these conditions, the Cumulative Illness Rating Scale (CIRS). METHODS: The study was carried out in the Saguenay region (Québec, Canada) in 2003. The participation of adult patients from 21 family physicians was solicited during consecutive consultation periods. A research nurse reviewed medical records and extracted the data regarding chronic illnesses. For each chronic condition, a severity rating was determined in accordance with the CIRS scoring guidelines. RESULTS: The sample consisted of 320 men and 660 women. Overall, 9 of 10 patients had more than 1 chronic condition. The prevalence of having 2 or more medical conditions in the 18- to 44-year, 45- to 64-year, and 65-year and older age-groups was, respectively, 68%, 95%, and 99% among women and 72%, 89%, and 97% among men. The mean number of conditions and mean CIRS score also increased significantly with age. CONCLUSIONS: Whether measured by simply counting the number of conditions or using the CIRS, the prevalence of multimorbidity is quite high and increases significantly with age in both men and women. Patients with multimorbidity seen in family practice represent the rule rather than the exception.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

In a 2003 family practice sample in Quebec, multimorbidity was highly prevalent: 9 of 10 adults had more than 1 chronic condition, and prevalence increased with age. Whether measured by condition count or CIRS severity, multimorbidity was the rule rather than the exception.

Key findings

  • Among 980 adult patients (320 men, 660 women), 9 of 10 had more than 1 chronic condition, and approximately 50% had 5 or more.
  • Prevalence of 2 or more chronic conditions by age and sex was: women 68% (18–44 years), 95% (45–64 years), and 99% (65+ years); men 72%, 89%, and 97%, respectively.
  • Mean CIRS scores increased significantly with age in both men and women (P < .001), rising from 6.3 to 13.1 in men and from 5.1 to 12.9 in women across the three age groups.
  • The most common diagnoses were hypertension, hyperlipidemia, and rheumatologic diseases; the 3 most common diagnoses did not differ in frequency between men and women.

Methods

  • Two-level survey in the Saguenay region of Quebec, Canada, in 2003. Of 119 eligible family physicians contacted, 27 volunteered and 21 participated after 6 dropped out; adult patients were recruited during consecutive consultation periods.
  • Of 1,085 patients contacted, 980 (90.3%) agreed to participate. Research nurses reviewed medical records, extracted chronic diagnoses using the WHO definition of chronic conditions, and assigned severity scores using the CIRS-G; inter-rater reliability was ICC 0.91 (95% CI, 0.84–0.95).
  • Analyses used SPSS version 8 with significance at 0.05; prevalence was reported by age and sex, means and medians were calculated for number of conditions and CIRS scores, CIRS means were compared with Kruskal-Wallis tests, proportions with chi-square tests, and 95% CIs were calculated. Clustering by physician was not accounted for because the intraclass correlation coefficient was very low (0.03).

Limitations

  • The paper states that the data are only estimates of actual prevalence in the population consulting family physicians; a random sample of each physician’s patients would have been required for more precise measurement. The sample was probably overrepresented by patients who see their physicians often because of multiple conditions, volunteer practices may have introduced unknown biases, and duration of the doctor-patient relationship was not recorded or controlled.
  • The paper also states that generalizability may be reduced by the limited number of participating physicians, a female-to-male ratio exceeding that of the general population, possible recruitment bias, and exclusion criteria (pregnancy, illiteracy, or lack of decision-making capacity). Participating and nonparticipating physicians seemed comparable, but few characteristics were compared. Socioeconomic status was not assessed.
  • Evident from the text: the profile of patients who refused participation could not be determined, so refusal bias cannot be quantified.

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Integrity signals

Registry

Crossref · 10.1370/afm.272

Cites

21 of 21 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 of 8 cited sources checked · 0 supported · 0 flagged

Show all 23 claims

  • Probably not a substantial claim. 17
  • It may state two separate claims as one. 9
23 of 23
  • The paper relies on this without support.

    Patients who refused to participate did not differ systematically from participants in a way that would affect prevalence estimates.

    “The profi le of the patients who refused to participate could not be determined.”
  • The paper relies on this without support.

    Medical records accurately and completely reflect patients' chronic conditions.

    “A research nurse reviewed medical records and extracted the data regarding chronic illnesses.”
2 of 2

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • CIRS score of 10 does not require disease in four systems

    Minor

    The paper says a CIRS score of 10 indicates disease in at least 4 or 5 systems. Because each domain can contribute up to 4 points, three affected domains can produce a score of 10.

  • Age range for the youngest group conflicts within Table 1

    Minor

    Table 1 labels the youngest group as 18-14 years for the average number of conditions, but as 18-44 years for prevalence. The former range also ends before it begins.

2 of 2

Citations

Cites

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Show all 22 references

1 of the 22 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. Fortin M, Lapointe L, Hudon C, Vanasse A. Multimorbidity in medical literature: Is it commonly researched? Can Fam Physician. 2005;51:244-245.

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Metadata

Authors
Fortin, M.
Affiliations
Université de Sherbrooke (CA)
Corresponding author
Fortin, M.
Venue
The Annals of Family Medicine
Published
2005-05-01
Volume
3
Issue
3
Pages
223-228
ISSN
  • 1544-1709 (ISSN-L)
  • 1544-1717
OpenAlex
W2133526648
Cited by
987
References
22
Citations by year
2026: 14 · 2025: 21 · 2024: 32 · 2023: 47 · 2022: 52 · 2021: 67 · 2020: 54 · 2019: 66 · 2018: 55 · 2017: 69 · 2016: 59 · 2015: 71 · 2014: 66 · 2013: 75 · 2012: 67
FWCI
14.34
Type
journal article
Language
en
Open access
Locations
  • The Annals of Family Medicine (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
  • Health Sciences › Medicine › Family Practice › Primary Care and Health Outcomes
  • Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
Keywords
multimorbidity, chronic disease, Cumulative Illness Rating Scale, disease severity, prevalence, general practice, primary care patients, age differences, sex differences
MeSH terms
Family Practice, Female, Humans, Male, Middle Aged, Comorbidity, Prevalence

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