Evidence map›Paper›PMID 37347523›Full record

ArticleJournal of medical Internet research2023

Factors Influencing Clinicians' Use of Hospital Information Systems for Infection Prevention and Control: Cross-Sectional Study Based on the Extended DeLone and McLean Model.

Feiyang Zheng, Kang Wang, Qianning Wang, Tiantian Yu, Lu Wang, Xinping Zhang, Xiang Wu, Qian Zhou, Li Tan

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. [Development and psychometric validation of the User Experience Scale for Artificial Intelligence QuestionZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
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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

9 authors.

Feiyang ZhengSchool of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0001-9768-7045
Kang WangSchool of Nursing, Hong Kong Polytechnic University, Kowloon, Hong Kong.ORCID 0000-0001-5745-5530
Qianning WangSchool of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0001-7356-2459
Tiantian YuSchool of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0001-8924-0374
Lu WangSchool of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-9703-683X
Xinping ZhangSchool of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-0688-2417
Xiang WuSchool of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0001-8757-4442
Qian ZhouDepartment of Hospital Infection Management, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0003-3570-4051
Li TanTongji Hospital, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, China.ORCID 0000-0003-4352-654X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare-associated infections have become a serious public health problem. Various types of information systems have begun to be applied in hospital infection prevention and control (IPC) practice. Clinicians are the key users of these systems, but few studies have assessed the use of infection prevention and control information systems (IPCISs) from their perspective.

objectiveThis study aimed to (1) apply the extended DeLone and McLean Information Systems Success model (D&M model) that incorporates IPC culture to examine how technical factors like information quality, system quality, and service quality, as well as organizational culture factors affect clinicians' use intention, satisfaction, and perceived net benefits, and (2) identify which factors are the most important for clinicians' use intention.

methodsA total of 12,317 clinicians from secondary and tertiary hospitals were surveyed online. Data were analyzed using partial least squares-structural equation modeling and the importance-performance matrix analysis.

resultsAmong the technical factors, system quality (β=.089-.252; P<.001), information quality (β=.294-.102; P<.001), and service quality (β=.126-.411; P<.001) were significantly related to user satisfaction (R

conclusionsThis study provides valuable insights into IPCIS usage among clinicians from the perspectives of technology and organization culture factors. It found that technical factors (system quality, information quality, and service quality) and hospital IPC culture have an impact on the successful use of IPCISs after evaluating the application of IPCISs based on the extended D&M model. Furthermore, service quality and information quality showed higher importance and lower performance for use intention. These findings provide empirical evidence and specific practical directions for further improving the construction of IPCISs.

Indexed as

Cross InfectionHospital Information SystemsCommunicationCross-Sectional StudiesHospitalsHumanshospital infection prevention and controlinformation systeminformation systems success model

Identifiers

PMID37347523
PMCPMC10337337

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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.