Evidence map›Paper›PMID 40292225›Full record

ArticleJournal of multidisciplinary healthcare2025

Development and Validation of an Indicator System for Evaluating Clinical Nursing Process Quality Using Mobile Nursing Information Systems.

Hongyue Ge, Qiao Wang, Sibo Liu, Yanbin Tian, Jie Ma

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Hongyue Ge *Department of Integrated Traditional and Western Cardiology, China-Japan Friendship Hospital, Beijing, 100029, People's Republic of China.
Qiao Wang *Department of Integrated Traditional and Western Cardiology, China-Japan Friendship Hospital, Beijing, 100029, People's Republic of China.
Sibo LiuDepartment of Integrated Traditional and Western Cardiology, China-Japan Friendship Hospital, Beijing, 100029, People's Republic of China.
Yanbin TianDepartment of Information Center, China-Japan Friendship Hospital, Beijing, 100029, People's Republic of China.
Jie MaDepartment of Nursing, China-Japan Friendship Hospital, Beijing, 100029, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to develop and validate a standardized indicator system to assess clinical nursing process quality, leveraging a mobile nursing information system to enhance care efficiency and safety. Methods: A Delphi method was employed, with indicator weights assigned via a precedence ordering chart. Data from three distinct clinical departments were analyzed to test the system, focusing on 20 indicators spanning assessment, execution, guidance, and management domains. Results: Both rounds of expert consultation achieved 100% response rates, with high authority coefficients (0.89 and 0.90). Kendall's concordance coefficients indicated moderate agreement among experts (W = 0.21, P < 0.05; W = 0.129, P < 0.05). The mean importance scores for each indicator ranged from 3.85 to 5.00, with coefficients of variation ranging from 0.00 to 0.24. The final system included 4 primary indicators (assessment [weight: 0.438], execution [0.313], guidance [0.125], management [0.125]) and 44 secondary indicators. Significant variations emerged across departments. One department demonstrated significantly lower execution rates for subcutaneous, intradermal, intramuscular, and intravenous injections, nebulization inhalation, oral medication, and intravenous infusion compared to the other two departments ( Conclusion: The indicator system developed for evaluating the quality of clinical nursing processes within a mobile nursing information system demonstrated scientific reliability and validity, with appropriately assigned indicator weights. This system shows promise as a potentially effective means of evaluating the quality of clinical nursing processes. Future research could build on the results of this study to further validate the timeliness and objectivity of this indicator system in assessing the quality of the nursing process.

Indexed as

clinical care classification system (CCC system)delphi methodmobile healthnursing processesquality of health care

Identifiers

PMID40292225
PMCPMC12025824

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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.