Identifying persistent high-cost patients in the hospital for care management: development and validation of prediction models

We developed and validated two models predicting PHC status that demonstrate good discrimination and calibration. Both models are suitable for integration into electronic health records to aid a hybrid case-finding strategy for HNHC care management.

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Publication Details

Journal
BMC Health Services Research
Published
2024-11-26
DOI
https://doi.org/10.1186/s12913-024-11936-7
Citations
2
Primary Topic
Chronic Disease Management Strategies
Type
article
Field-Weighted Citation Impact
0.77

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article

Identifying persistent high-cost patients in the hospital for care management: development and validation of prediction models

Hester F. Lingsma, Frank Eijkenaar, Carolien C. H. M. Maas, Z Kaplan et al.
2 citations
BMC Health Services Research
Chronic Disease Management Strategies
0.77
article

Identifying persistent high-cost patients in the hospital for care management: development and validation of prediction models

Hester F. Lingsma, Frank Eijkenaar, Carolien C. H. M. Maas, Z Kaplan, Ursula W. de Ruijter, Willem A. Bax, Aǵnes van der Heide
article en
2 citations

Abstract

We developed and validated two models predicting PHC status that demonstrate good discrimination and calibration. Both models are suitable for integration into electronic health records to aid a hybrid case-finding strategy for HNHC care management.

BMC Health Services ResearchVol. 24(1)
Erasmus MC (NL), Northwest Hospital (US), Erasmus University Rotterdam (NL)
National University of Singapore
Peace, Justice and strong institutions
Openalex Percentile: Top 24%
Chronic Disease Management Strategies
0.77
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