Evidence map›Paper›PMID 37932975›Full record

ArticleMedicine2023

Maturity degree assessment of hospital ward system using integrated fuzzy AHP-TOPSIS model.

Lan Li, Junping Tong, Huan Wang, Ruihua Ren, Luning Xiong, Jiyun Wang

Abstract read
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Article in Medicine, 2023. 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lan LiNursing Department, Hebei Petrochina Central Hospital, Guangyang District, Langfang City, Hebei Province, P.R. China.
Junping TongDepartment of ophthalmology and otorhinolaryngology, Hebei Petrochina Central Hospital, Guangyang District, Langfang City, Hebei Province, P.R. China.
Huan WangDepartment of thoracic surgery, Hebei Petrochina Central Hospital, Guangyang District, Langfang City, Hebei Province, P.R. China.
Ruihua RenDepartment of thoracic surgery, Hebei Petrochina Central Hospital, Guangyang District, Langfang City, Hebei Province, P.R. China.
Luning XiongNursing Department, Hebei Petrochina Central Hospital, Guangyang District, Langfang City, Hebei Province, P.R. China.
Jiyun WangDepartment of thoracic surgery, Hebei Petrochina Central Hospital, Guangyang District, Langfang City, Hebei Province, P.R. China.ORCID 0009-0005-4040-6587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe hospital ward system is the core service unit of a hospital and an important aspect of hospital management. The maturity of the hospital ward system represents the level of development and improvement in ward management and services. In order to improve the quality of hospital services, it is significant to assess the maturity of the ward system. Although various assessment methods have been proposed in existing studies, there are some issues such as a single-dimensional factor system, subjectivity in qualitative factor values, and insufficient objectivity in the evaluation methods.

methodsTherefore, based on the data collection of the factors used in the existing literature, this study made correlation analysis, determined the similarity of factors, and established a maturity assessment factor system satisfying distinctiveness and comprehensiveness. Furthermore, an evaluation method for the weights of each factor was proposed based on the fuzzy analytic hierarchy process, while taking account of the ambiguity of expert information. In addition, through the technique for order of preference by similarity to ideal solution method, an objective evaluation method for the maturity of the hospital ward system was established. Finally, a case study involving 6 hospitals in a specific location was conducted.

resultsThere are a total of 16 factors used to assess the maturity of the hospital ward system, among which the most important is Doctor service. The maturity degree of the 6 researched hospitals are 0.4517, 0.0035, 0.4254, 0.8681, 0.6636, 0.1586, and the maturity degree of the 6 researched hospitals are II, I, II, IV, III, I.

conclusionThe factor system constructed in this study effectively reflected the importance of human-related factors in the development process of ward system. The evaluation results were consistent with the actual situation, demonstrating the effectiveness of the proposed method.

Indexed as

Fuzzy LogicHospital AdministrationAnalytic Hierarchy ProcessData CollectionHospitalsHumans

Identifiers

PMID37932975
PMCPMC10627654

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