Evidence map›Paper›PMID 40349086›Full record

ArticleBMC health services research2025

Validation of the Patient Driven Payment Model (PDPM) in China.

Yue Xu, Mengjia Zhi, Ningjun Shao, Linlin Hu

Abstract readValidation Study
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yue Xu *School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, 9 Dongdan Santiao, Beijing, 100730, China.
Mengjia Zhi *School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, 9 Dongdan Santiao, Beijing, 100730, China.
Ningjun ShaoJinhua Healthcare Security Administration, 999 Danxi North Road, Jinhua, 321000, China.
Linlin HuSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, 9 Dongdan Santiao, Beijing, 100730, China. hulinlin@sph.pumc.edu.cn.

Funding

the Medical and Health Innovative Engineering Program of the Chinese Academy of Medical Sciences 2021-I2M-1-046
6 · The paper itself

Abstract

backgroundPost-acute care is rapidly developing in China; yet, a payment method for post-acute care has not been established. The Patient Driven Payment Model (PDPM) is a new case-mix system developed in the United States of America for classification of skilled nursing facility patients. This study aimed to examine the validity of an adapted version of PDPM for classifying post-acute care patients in China.

methodsFirst, 13,496 post-acute care patients in seven facilities of Jinhua City from January 2018 to December 2020 were sampled and assigned to PDPM groups according to their clinical characteristics, functional status, and special care needs. Then, the effectiveness of grouping was analyzed by the percentage of variance in resource use explained by the classification (R

resultsUnder the adapted version of PDPM, each patient is classified into a group for each of the four case-mix adjusted components: (1) physical therapy and occupational therapy (PT&OT), (2) speech-language pathology (SLP), (3) nursing, and (4) non-therapy ancillary (NTA). Each component utilizes different criteria for classification. The adapted PDPM explained 11.1%, 6.1%, 14.0%, and 10.6% of the variance in PT&OT, SLP, nursing, and NTA cost per day, respectively, for the sample patients (all p < 0.001), which were similar to the results in the United States of America. The CV achieved good homogeneity in 10 PT&OT groups (CV: 0.17-0.69), 12 nursing groups (CV: 0.09-0.66), and 6 NTA groups (CV: 0.38-0.64). The CMIs of groups spanned a 9-fold range in PT&OT (CMI: 0.22-1.96), 11-fold range in nursing (CMI: 0.59-6.33), and 4-fold range in NTA (CMI: 0.72-2.91).

conclusionsOur findings provide preliminary evidence that the PDPM is a reliable and valid case-mix system for classifying post-acute care patients in China, which could inform future payment policy for post-acute care in China.

Indexed as

Diagnosis-Related GroupsReimbursement MechanismsSkilled Nursing FacilitiesSubacute CareAgedChinaFemaleHumansMaleMiddle AgedCase-mixPatient driven payment modelPayment systemPost-acute careValidation

Identifiers

PMID40349086
PMCPMC12065136

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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.