Evidence map›Paper›PMID 31200651›Full record

ArticleBMC geriatrics2019

Measuring multimorbidity in older adults: comparing different data sources.

Samantha Gontijo Guerra, Djamal Berbiche, Helen-Maria Vasiliadis

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
9.7field-weighted citation impact, top 1% of its field
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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

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  17. Loneliness and Depression among Community Older Adults during the COVID-19 Pandemic: A cross-sectional study.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2022
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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

3 authors at 2 institutions in 1 country.

Samantha Gontijo GuerraCentre de recherche Charles-Le Moyne - Saguenay-Lac-Saint-Jean sur les innovations en santé (CR-CSIS), Longueuil, QC, Canada. samantha.gontijo.guerra@USherbrooke.ca.ORCID 0000-0001-8073-7835
Djamal BerbicheCentre de recherche Charles-Le Moyne - Saguenay-Lac-Saint-Jean sur les innovations en santé (CR-CSIS), Longueuil, QC, Canada.
Helen-Maria VasiliadisCentre de recherche Charles-Le Moyne - Saguenay-Lac-Saint-Jean sur les innovations en santé (CR-CSIS), Longueuil, QC, Canada.
Université de Sherbrooke · CAHôpital Charles-Le Moyne · CA

Funding

CIHR GSD 146258
6 · The paper itself

Abstract

backgroundMultimorbidity is a global health issue, particularly for older adults in the primary care setting. An adequate portrayal of its epidemiology is essential to properly identify and understand the health care needs of this population. This study aimed to compare the differences in the prevalence of selected chronic conditions and multimorbidity, including its associated characteristics, using health survey/self-reported (SR) information only, administrative (Adm) data only and the combined (either) sources.

methodsThis was a secondary analysis of survey data from the first cycle of the Longitudinal Survey on Senior's Health and Health Services Use linked to health-Adm data. The analytical sample consisted of 1625 community-dwelling older adults (≥65 years) recruited in the waiting rooms of primary health clinics in a selected administrative region of the province of Quebec. Seventeen chronic conditions were assessed according to two different data sources. We examined the differences in the observed prevalence of chronic conditions and multimorbidity and the agreement between data sources.

resultsThe prevalence of each of the 17 chronic conditions ranged from 1.2 to 68.7% depending on the data source. The agreement between different data sources was highly variable, with kappa coefficients (κ) ranging from 0.05 to 0.73. Multimorbidity was very high in this population, with an estimated prevalence of up to 95.9%. In addition, we found that the association between sociodemographic and behavioural factors and the presence of multimorbidity varied according to the different data sources and thresholds.

conclusionsThis is the first study to simultaneously investigate chronic conditions and multimorbidity prevalence among primary care older adults using combined SR and health-Adm data. Our results call attention to (1) the possibility of underestimating cases when using a single data source and (2) the potential benefits of integrating information from different data sources to increase case identification. This is an important aspect of characterizing the health care needs of this fast-growing population.

Indexed as

Information Storage and RetrievalMultimorbidityAgedAged, 80 and overChronic DiseaseCross-Sectional StudiesFemaleHealth SurveysHumansIndependent LivingMalePrevalencePrimary Health CareQuebecSelf ReportAgreement between sourcesChronic conditionsData sourcesEpidemiologyHealth administrative dataMultimorbidityOlder adultsPrevalencePrimary health careSelf-report

Identifiers

PMID31200651
PMCPMC6570867
OpenAlexW2952470360

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.