Evidence map›Paper›PMID 37160390›Full record

ArticleBMJ open2023

Prevalence of multimorbidity and its associations with hospitalisation or death in Japan 2014-2019: a retrospective cohort study using nationwide medical claims data in the middle-aged generation.

Yoshiyuki Saito, Ataru Igarashi, Takeo Nakayama, Shingo Fukuma

Erratum issuedAbstract read
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Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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

12 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Yoshiyuki SaitoDepartment of Health Economics & Outcomes Research, The University of Tokyo, Bunkyo-ku, Japan saito.yoshiyuki.86x@kyoto-u.jp.ORCID 0000-0002-8226-9219
Ataru IgarashiDepartment of Health Economics & Outcomes Research, The University of Tokyo, Bunkyo-ku, Japan.ORCID 0000-0001-6307-6916
Takeo NakayamaDepartment of Health Informatics, Kyoto University School of Public Health, Kyoto, Japan.
Shingo FukumaDepartment of Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.ORCID 0000-0002-8379-8761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe the prevalence of multimorbidity and its associations with clinical outcomes across age groups.

designRetrospective cohort study using nationwide medical claims data.

settingCarried out in Japan between April 2014 and March 2019.

participantsN=246 671 Japanese individuals aged 20-74 enrolled in the health insurance were included into the baseline data set for fiscal year (FY) 2014. Of those, N=181 959 individuals were included into the cohort data set spanning FY2014-FY2018. EXPOSURES: Multimorbidity was defined as having ≥2 of 15 chronic conditions according to the International Classification of Diseases 10th Revision codes of the Charlson Comorbidity Index. PRIMARY AND SECONDARY OUTCOMES: Primary outcome: the standardised prevalence of multimorbidity across age groups was evaluated using data from FY2014 and extrapolated to the Japanese total population. SECONDARY OUTCOME: hospitalisation or death events were traced by month using medical claims data and insurer enrolment data. Associations between multimorbidity and 5-year hospitalisation and/or death events across age groups were analysed using a Cox regression model.

resultsThe standardised prevalence rate of multimorbidity in the nationwide Japanese total population was estimated to 26.1%. The prevalence rate with age was increased, approximately 5% (ages 20-29), 10% (30-39), 20% (40-49), 30% (50-59), 50% (60-69) and 60% (70-74). Compared with individuals aged 20-39 without multimorbidity, those with multimorbidity had a higher incidence of clinical events in any age group (HR=2.43 (95% CI 2.30 to 2.56) in ages 20-39, HR=2.55 (95% CI 2.47 to 2.63) in ages 40-59 and HR=3.41 (95% CI 3.23 to 3.53) in ages ≥60). The difference in the incidence of clinical events between multimorbidity and no multimorbidity was larger than that between age groups.

conclusionsMultimorbidity is already prevalent in the middle-aged generation and is associated with poor clinical outcomes. These findings underscore the significance of multimorbidity and highlight the urgent need for preventive intervention at the public healthcare level.

Indexed as

HospitalizationInsurance, HealthHumansJapanMiddle AgedPrevalenceRetrospective Studiesepidemiologyhealth economicspreventive medicinepublic health

Identifiers

PMID37160390
PMCPMC10173978

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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.