Evidence map›Paper›PMID 42591898›Full record

ArticleJournal of multimorbidity and comorbidity

The role of primary care data in multimorbidity estimates using administrative health data.

Clare Tazzeo, Katharina Schmidt-Mende, Karin Modig

Abstract read
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Article in Journal of multimorbidity and comorbidity. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Clare TazzeoDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.ORCID https://orcid.org/0000-0002-1349-0024
Katharina Schmidt-MendeDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.
Karin ModigUnit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to investigate the extent to which two frequently used multimorbidity measures, the Charlson Comorbidity Index (CCI) and the 2+ count of chronic diseases, are underestimated when primary care data are absent, and to examine if this varies by sociodemographic factors. Methods: This register-based study included adults, aged 60 years and older, living in Stockholm, Sweden from 2017-2022 (n=497736). Multimorbidity was operationalized as 1) 2+ chronic diseases from a list of 60 and 2) CCI score of 2+. The multimorbidity prevalences were calculated using only outpatient specialist and hospital data, then after adding primary care data. The proportion of the prevalence underestimated without primary care data was estimated for both measures. Stratified analyses were conducted to assess the underestimation by age, sex, education, cohabitation, and care status. Findings: Without primary care data, approximately 20% of individuals with multimorbidity were missed (2+count: 19.4%,95%CI:19.3%-19.5%; 2+CCI: 23.9%,95%CI:23.8%-24.0%). The proportion of missed cases was highest among community-dwelling individuals (2+count: 21.0%,95%CI:20.8%-21.1%; 2+CCI: 25.5%,95%CI:25.3%-25.6%) and decreased with greater social care need (home care: 2+count: 4.33%,95%CI:4.09%-4.58%; 2+CCI: 16.0%,95%CI:15.5%-16.4%; nursing homes: 2+count: 7.78%,95%CI:7.35%-8.22%, 2+CCI: 18.0%,95%CI:17.3%-18.6%). The underestimation without primary care was greater among younger age groups for the 2+count, and women and older individuals for the 2+CCI. Interpretation: Multimorbidity is underestimated without primary care data, particularly among community-dwelling and independent older adults, as well as the youngest and oldest segments of the older population. Caution is warranted when comparing multimorbidity across age groups, care status, or social factors in the absence of primary care data.

Indexed as

data sourcehospital caremultimorbidityprimary carespecialist outpatient care

Identifiers

PMID42591898
PMCPMC13462637

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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.