Evidence map›Paper›PMID 40098794›Full record

ArticleFrontiers in public health2025

Influencing factors of hospitalization costs for intensive rehabilitation in patients with post-stroke disorder of consciousness.

Miao Yu, Zhongmou Huang, Yansui Yang, Yulin Wang, Hai Ren, Shilan Tang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Miao YuSchool of Healthcare Management, Tsinghua University, Beijing, China.
Zhongmou HuangSchool of Public Policy and Management, Tsinghua University, Beijing, China.
Yansui YangInstitute for Hospital Management, Tsinghua University, Shenzhen, China.
Yulin WangAdministrative Office, Shenzhen Longcheng Hospital, Shenzhen, China.
Hai RenAdministrative Office, Shenzhen Longcheng Hospital, Shenzhen, China.
Shilan TangGeneral Management Department, Shenzhen Dapeng New District Medical and Health Group, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In China, patients requiring intensive rehabilitation often face a gap between acute treatment and sub-acute rehabilitation. This study evaluates the composition and determinants of post-acute hospitalization costs in stroke patients with disorders of consciousness (DoC). Methods: Data from 133 stroke patients with DoC who underwent inpatient rehabilitation at a tertiary hospital from 2015 to 2020 were collected, including demographic characteristics, clinical features, and hospitalization costs. Descriptive statistical analysis and univariate analysis were performed, followed by path analysis and Bootstrap mediation tests to explore factors influencing hospitalization costs. Results: The median hospitalization costs were $56,860.80. Rehabilitation costs accounted for the largest proportion of total hospitalization costs (36.55%). Direct factors influencing total costs included payment method, admission to the intensive care unit (ICU), pulmonary infection, and length of stay (LOS) ( Conclusion: Greater attention should be given to meeting the rehabilitation needs of patients by expanding resources for intensive rehabilitation and ensuring continuous rehabilitation services. Comprehensive and effective measures should be implemented to address cost-influencing factors early, without compromising the quality of care.

Indexed as

Consciousness DisordersHospital CostsHospitalizationStrokeStroke RehabilitationAdultAgedChinaFemaleHumansIntensive Care UnitsLength of StayMaleMiddle Ageddisorders of consciousnesshospitalization costsintensive rehabilitationlength of staystroke

Identifiers

PMID40098794
PMCPMC11911356

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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.