Evidence map›Paper›PMID 32024309›Full record

ArticleInternational journal of environmental research and public health2020

Assess the Performance and Cost-Effectiveness of LACE and HOSPITAL Re-Admission Prediction Models as a Risk Management Tool for Home Care Patients: An Evaluation Study of a Medical Center Affiliated Home Care Unit in Taiwan.

Mei-Chin Su, Yi-Jen Wang, Tzeng-Ji Chen, Shiao-Hui Chiu, Hsiao-Ting Chang, Mei-Shu Huang, Li-Hui Hu, Chu-Chuan Li, Su-Ju Yang, Jau-Ching Wu and 1 more

Abstract readEvaluation Study
In one paragraph

Article in International journal of environmental research and public health, 2020. 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. LACE Score-Based Risk Management Tool for Long-Term Home Care Patients: A Proof-of-Concept Study in Taiwan.International journal of environmental research and public health · 2021
    Article
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

11 authors.

Mei-Chin SuDepartment of Nursing, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Yi-Jen WangDepartment of Family Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Tzeng-Ji ChenInstitute of Hospital and Health Care Administration, National Yang-Ming University, Taipei 11221, Taiwan.
Shiao-Hui ChiuDepartment of Nursing, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Hsiao-Ting ChangDepartment of Family Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Mei-Shu HuangDepartment of Nursing, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Li-Hui HuDepartment of Nursing, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Chu-Chuan LiDepartment of Nursing, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Su-Ju YangDepartment of Nursing, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Jau-Ching WuSchool of Medicine, National Yang-Ming University, Taipei 11221, Taiwan.
Yu-Chun ChenInstitute of Hospital and Health Care Administration, National Yang-Ming University, Taipei 11221, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The LACE index and HOSPITAL score models are the two most commonly used prediction models identifying patients at high risk of readmission with limited information for home care patients. This study compares the effectiveness of these two models in predicting 30-day readmission following acute hospitalization of such patients in Taiwan. A cohort of 57 home care patients were enrolled and followed-up for one year. We compared calibration, discrimination (area under the receiver operating curve, AUC), and net reclassification improvement (NRI) to identify patients at risk of 30-day readmission for both models. Moreover, the cost-effectiveness of the models was evaluated using microsimulation analysis. A total of 22 readmissions occurred after 87 acute hospitalizations during the study period (readmission rate = 25.2%). While the LACE score had poor discrimination (AUC = 0.598, 95% confidence interval (CI) = 0.488-0.702), the HOSPITAL score achieved helpful discrimination (AUC = 0.691, 95% CI = 0.582-0.785). Moreover, the HOSPITAL score had improved the risk prediction in 38.3% of the patients, compared with the LACE index (NRI = 0.383, 95% CI = 0.068-0.697,

Indexed as

Models, TheoreticalAgedAged, 80 and overCost-Benefit AnalysisFemaleHome Care ServicesHospitalsHumansMalePatient ReadmissionRisk ManagementTaiwanhome care patientprediction modelreadmissionrisk managementsimulation

Identifiers

PMID32024309
PMCPMC7037289

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Registered trials

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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.