Evidence map›Paper›PMID 30720771›Full record

ArticleInternational journal of environmental research and public health2019

Utility of Geriatric Syndrome Indicators for Predicting Subsequent Health Care Utilization in Older Adults in Taiwan.

Ching-Ju Chiu, Ya-Yun Cheng

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Ching-Ju ChiuInstitute of Gerontology, College of Medicine, National Cheng Kung University, No. 1, University Road, Tainan 70101, Taiwan. cjchiu@mail.ncku.edu.tw.ORCID 0000-0002-2352-9105
Ya-Yun ChengSchool of Medicine, College of Medicine, National Cheng Kung University, No. 1, University Road, Tainan 70101, Taiwan. i54046322@mail.ncku.edu.tw.
National Cheng Kung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe predictive utility of both individual and combined indicators of geriatric syndromes on subsequent emergency use and hospitalization is not clear.

methodsNationally representative data on adults aged 65+ (N = 2345) (with 1148 male, 1197 female) in Taiwan were analyzed. The receiver operating characteristic (ROC) curve examined the diagnostic accuracy of the combined effects of geriatric syndromes on predicting health care utilization in three years. Negative binomial regressions identified the individual effect of each indicator with the control of sociodemographic and baseline health status.

resultsThe combined indicators of geriatric syndromes predicted future hospitalization of old-old (75+ yrs) diabetes patients, with area under the curve (AUC) = 0.709, 95% confidence interval (CI) = 0.635⁻0.782, and young-old patients (65-74 yrs) with mild cognitive impairment (AUC = 0.727, 95% CI = 0.610⁻0.845 for hospitalization and AUC = 0.770, 95% CI = 0.664⁻0.877 for emergency visits). As for individual indicators, while incontinence was the indicator having the most influence on hospitalization (incidence rate ratio (IRR) = 1.81, 95% CI = 1.21⁻2.72) and emergency visits (IRR = 1.78, 95% CI = 1.23⁻2.59) for general older adults (65+), and for old-old emergency visits, especially (IRR = 2.21, 95% CI = 1.39⁻3.49), falls was the most prominent indicator of hospitalization for young-old (65-74) adults (IRR = 1.61, 95% CI = 1.13⁻2.28). In addition, pain was another significant indicator for predicting future hospitalization of old-old diabetes patients (IRR = 1.61, 95% CI= 1.07⁻2.44).

conclusionsCombined indicators of geriatric syndromes effectively predict hospitalization in old-old (75+ yrs) diabetes patients and hospitalization and emergency visits in young-old (65⁻74 yrs) patients with cognitive impairment. Incontinence, falls, and pain were the most predictive independent geriatric assessment indicators.

Indexed as

Health StatusAccidental FallsAgedAged, 80 and overAge FactorsArea Under CurveCognitive DysfunctionDiabetes MellitusFemaleGeriatric AssessmentHospitalizationHumansLongitudinal StudiesMalePatient Acceptance of Health CareROC Curvedementiadepressiondiabetesgeriatric syndromeshealth care utilization

Identifiers

PMID30720771
PMCPMC6388116
OpenAlexW2911895719

What OpenQuestion holds

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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.