Evidence map›Paper›PMID 36360740›Full record

ArticleInternational journal of environmental research and public health2022

Factors Influencing Hospitalization Cost for Diabetic Patients in Traditional Chinese Medicine Hospitals in Qingyang City, China.

Mengen Chen, Fanxin Kong, Bin Su, Xuexuan Wei, Jingyu Yang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

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

5 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

5 authors at 2 institutions in 1 country.

Mengen ChenSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou 730000, China.
Fanxin KongSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou 730000, China.
Bin SuSchool of Public Health, Lanzhou University, Lanzhou 730000, China.
Xuexuan WeiSchool of Public Health, Lanzhou University, Lanzhou 730000, China.
Jingyu YangSchool of Public Health, Lanzhou University, Lanzhou 730000, China.
Gansu University of Traditional Chinese Medicine · CNLanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: This study aims to understand the factors influencing hospitalization cost related to diabetes mellitus in two traditional Chinese medicine (TCM) hospitals, and to provide a scientific basis for TCM hospitals to control the hospitalization cost of chronic diseases, including diabetes mellitus. (2) Methods: Univariate analysis was used to preliminarily screen the factors related to hospitalization cost, and then multiple linear regression and path models were comprehensively used to analyze the influencing factors of hospitalization cost. (3) Results: The cost of hospitalization for diabetic patients was mainly affected by hospital level, length of stay, type of diabetes, and complications and comorbidities, and hospital level was the most critical influencing factor. (4) Conclusions: The higher the Chinese medicine hospital level, the longer the length of stay, and the more severe the complications and comorbidities, the higher the hospitalization cost for diabetic patients. The Chinese government should continue to promote the tiered medical treatment system and improve the standard of treatment at TCM hospitals to reduce the economic burden of chronic diseases, including diabetes mellitus.

Indexed as

Diabetes Mellitus, Type 2Medicine, Chinese TraditionalChinaHospitalizationHospitalsHumansdiabetes mellitushospitalization costQingyang CityTCM hospitals

Identifiers

PMID36360740
PMCPMC9657176
OpenAlexW4307550914

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.