Evidence map›Paper›PMID 23666805›Full record

ArticleFamily practice2013

Comparisons of multi-morbidity in family practice--issues and biases.

Moira Stewart, Martin Fortin, Helena C Britt, Christopher M Harrison, Heather L Maddocks

Abstract readComparative Study
In one paragraph

Article in Family practice, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
  2. Clustering of comorbidities.Future healthcare journal · 2021
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  9. Assessing and Measuring Chronic Multimorbidity in the Older Population: A Proposal for Its Operationalization.The journals of gerontology. Series A, Biological sciences and medical sciences · 2017
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  13. Review
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  20. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Moira StewartCentre for Studies in Family Medicine, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada.
Martin Fortin
Helena C Britt
Christopher M Harrison
Heather L Maddocks

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the population ages, practice and policy need to be guided by accurate estimates of chronic disease burden in primary care.

objectiveTo 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.

methodsWe 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.

resultsMulti-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.

conclusionsUnderstanding 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.

Indexed as

Primary Health CareAdultAgedAustraliaBiasCanadaChronic DiseaseComorbidityCost of IllnessCross-Sectional StudiesEpidemiologic MethodsFemaleHumansMaleMiddle AgedPrevalenceChronic diseaseco-morbiditymorbidityprevalenceprimary health care.

Identifiers

PMID23666805
PMCPMC3722508

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.