Evidence map›Paper›PMID 33794860›Full record

ArticleBMC public health2021

Frailty status changes are associated with healthcare utilization and subsequent mortality in the elderly population.

Chia-Ming Li, Chih-Hsueh Lin, Chia-Ing Li, Chiu-Shong Liu, Wen-Yuan Lin, Tsai-Chung Li, Cheng-Chieh Lin

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

32 citing papers in PubMed, 39 citations in OpenAlex.

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  10. High Hospitalization Rates and Risk Factors Among Frail Patients With Cirrhosis: A 10-year Population-based Cohort Study.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2025
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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

7 authors at 2 institutions in 1 country.

Chia-Ming LiDepartment of Family Medicine, National Taiwan University Hospital, Bei-Hu Branch, Taipei, Taiwan.
Chih-Hsueh LinSchool of Medicine, College of Medicine, China Medical University, No. 100, Sec. 1, Jingmao Rd., Beitun Dist, Taichung City, 406040, Taiwan ROC.
Chia-Ing LiSchool of Medicine, College of Medicine, China Medical University, No. 100, Sec. 1, Jingmao Rd., Beitun Dist, Taichung City, 406040, Taiwan ROC.
Chiu-Shong LiuSchool of Medicine, College of Medicine, China Medical University, No. 100, Sec. 1, Jingmao Rd., Beitun Dist, Taichung City, 406040, Taiwan ROC.
Wen-Yuan LinSchool of Medicine, College of Medicine, China Medical University, No. 100, Sec. 1, Jingmao Rd., Beitun Dist, Taichung City, 406040, Taiwan ROC.
Tsai-Chung LiDepartment of Public Health, College of Public Health, China Medical University, Taichung, Taiwan.
Cheng-Chieh LinSchool of Medicine, College of Medicine, China Medical University, No. 100, Sec. 1, Jingmao Rd., Beitun Dist, Taichung City, 406040, Taiwan ROC. cclin@mail.cmuh.org.tw.ORCID 0000-0002-9625-6216
China Medical University · TWAsia University · TW

Funding

China Medical University Hospital DMR-109-097Ministry of Science and Technology, Taiwan MOST 105-2314-B-039-021-MY3Ministry of Science and Technology, Taiwan MOST 105-2314-B-039-025-MY3Ministry of Science and Technology, Taiwan MOST 108-2314-B-039-031-MY2National Health Research Institutes of Taiwan NHRI-EX98-9838PI
6 · The paper itself

Abstract

backgroundThis study determined (1) whether a change in frailty status after a 1 year follow up is associated with healthcare utilization and evaluated (2) whether a change in frailty status after a 1 year follow up and health care utilization are associated with all-cause mortality in a sample of Taiwan population.

methodsThis work is a population-based prospective cohort study involving residents aged ≥65 years in 2009. A total of 548 elderly patients who received follow-ups in the subsequent year were included in the current data analysis. Fried frailty phenotype was measured at baseline and 1 year. Information on the outpatient visits of each specialty doctor, emergency care utilization, and hospital admission during the 2 month period before the second interview was collected through standardized questionnaires administered by an interviewer. Deaths were verified by indexing to the national database of deaths.

resultsAt the subsequent 1 year follow-up, 73 (13.3%), 356 (64.9%), and 119 (21.7%) elderly participants exhibited deterioration, no change in status, and improvement in frailty states, respectively. Multivariate logistic analysis showed the high risk of any type of outpatient use (odds ratios [OR] 1.94, 95% confidence interval [CI] 1.02-3.71) among older adults with worse frailty status compared with those who were robust at baseline and had unchanged frailty status after 1 year. After multivariate adjustment, participants with high outpatient clinic utilization had significantly higher mortality than those with low outpatient clinic visits among unchanged pre-frail or frail (hazard ratios [HR] 2.79, 95% CI: 1.46-5.33) and frail to pre-frail/robust group (HR 9.32, 95% CI: 3.82-22.73) if the unchanged robustness and low outpatient clinic visits group was used as the reference group.

conclusionsThe conditions associated with frailty status, either after 1 year or at baseline, significantly affected the outpatient visits and may have increased medical expenditures. Combined change in frailty status and number of outpatient visits is related to increased mortality.

Indexed as

FrailtyAgedFrail ElderlyGeriatric AssessmentHumansPatient Acceptance of Health CareProspective StudiesTaiwanAgedFrailtyHealth careUtilization

Identifiers

PMID33794860
PMCPMC8017879
OpenAlexW3139919213

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.