Evidence map›Paper›PMID 35991048›Full record

ArticleFrontiers in public health2022

The DEMATEL method explores the interdependent relationship structure and weights for diagnosis-related groups system.

Tong Zou, Yanjun Jin, Yen-Ching Chuang, Ching-Wen Chien, Tao-Hsin Tung

Abstract read
In one paragraph

Article in Frontiers in 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
–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

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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.

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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.

Tong ZouInstitute for Hospital Management, Tsing Hua University, Shenzhen, China.
Yanjun JinTaizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, China.
Yen-Ching ChuangBusiness College, Taizhou University, Taizhou, China.
Ching-Wen ChienInstitute for Hospital Management, Tsing Hua University, Shenzhen, China.
Tao-Hsin TungEvidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study constructs a structure of interaction between dimensions and criteria within the diagnosis-related groups (DRGs) system from a quantitative system and identifies key factors affecting the overall performance of medical services. Method: From September to December 2020, the influence relation structure diagram (IRSD) of the dimensions and corresponding criteria was developed from the practical experience of a group of domain experts, based on the DEMATEL method. Subsequently, all dimensions and criteria construct influential weights from a systems perspective. Finally, the main influential factors were identified based on the analysis results. Results: The IRSD results showed that, in the overall performance of medical services, "Medical service capacity ( Conclusion: Patients and managers should first focus on the capacity of medical service providers when making a choice or deciding using the results of the DRGs system. Furthermore, they should pay more attention to medical safety even if it is not as weighted as medical efficiency.

Indexed as

Diagnosis-Related GroupsHumansdecision-making trial and evaluation laboratory (DEMATEL)diagnosis-related groups (DRGs)key factorsmultiple criteria decision-making (MCDM)the interdependent relationship structure and weights

Identifiers

PMID35991048
PMCPMC9386257

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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.