Evidence map›Paper›PMID 39696428›Full record

ArticleBMC health services research2024

Associations of care continuity and care coordination with the overuse of healthcare services: a nationwide population-based study.

Guann-Ming Chang, Hsien-Yen Chang, Wen-Yu Kuo, Yu-Chi Tung

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

4 authors.

Guann-Ming ChangDepartment of Family Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.
Hsien-Yen ChangDepartment of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Wen-Yu KuoInstitute of Health Policy and Management, College of Public Health, National Taiwan University, Room 634, No.17, Xu-Zhou Road, Taipei, 100, Taiwan.
Yu-Chi TungInstitute of Health Policy and Management, College of Public Health, National Taiwan University, Room 634, No.17, Xu-Zhou Road, Taipei, 100, Taiwan. yuchitung@ntu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCare continuity and care coordination have received increased attention as important ways of decreasing overuse/low-value care. Prior research has verified an association between care continuity and overuse or an association between care coordination and overuse. However, little is known about the relative influences of care continuity and care coordination on overuse. We used nationwide population-based data from Taiwan to examine the relative associations of care continuity and care coordination with overuse.

methodsWe analyzed 1,462,960 beneficiaries in 2015 randomly sampled from all people enrolled in the Taiwan National Health Insurance. Having adjusted for patient characteristics, the multivariable logistic regression model was used to examine the associations of the Continuity of Care (COC) Index and care density on overuse, using a previously validated set of 18 potentially low-value care services.

resultsHigher COC index was associated with lower overuse (low vs. medium: odds ratio [OR], 1.11; 95% confidence interval [CI], 1.09-1.12; high vs. medium: OR, 0.80; 95% CI, 0.795-0.813). Higher care density was associated with lower overuse (low vs. medium: OR, 1.01; 95% CI, 1.001-1.024; high vs. medium: OR, 0.88; 95% CI, 0.87-0.89).

conclusionsIncreased care continuity and care coordination are associated with decreased overuse. Facilitating care continuity and care coordination may be an important strategy for reducing overuse/low-value care.

Indexed as

Continuity of Patient CareAdolescentAdultAgedFemaleHumansLogistic ModelsMaleMedical OveruseMiddle AgedNational Health ProgramsTaiwanYoung AdultContinuityCoordinationLow-value careOveruse

Identifiers

PMID39696428
PMCPMC11654378

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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.