Evidence map›Paper›PMID 38724959›Full record

ArticleBMC nursing2024

Improve the satisfaction of medical staff on the use of home nursing mobile APP by using a hybrid multi-standard decision model.

Ziwei Ke, Weiyang Qian, Nan Wang, Yen-Ching Chuang, Biying Wei, Jing Feng

Abstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

6 authors.

Ziwei Ke *School of Nursing, Zhejiang Pharmaceutical University, Ningbo, Zhejiang, China.
Weiyang Qian *Neurosurgery, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.
Nan WangIntensive Care Unit, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Zhejiang, Linhai, China.
Yen-Ching ChuangBusiness College, Taizhou University, 318000, Taizhou, Zhejiang, China. yenching.chuang@gmail.com.
Biying WeiShenzhen Third People's Hospital, 518112, Shenzhen, Guangdong, China. biying_wei@yeah.net.
Jing FengNursing Department, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China. fengj@enzemed.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify critical satisfaction gaps in a home nursing mobile application (APP) using a systematic decision-making model.

methodsInitially, the decision-making trial and evaluation laboratory method was used to analyze the relationship structure and corresponding weights among the indicators. The Importance-Performance Analysis (IPA) method was used to identify the categories of all indicators and their corresponding strategic directions. Twenty-six home nursing specialists currently providing home nursing services were recruited for this study.

resultsThe IPA results revealed that "Assurance," "Reliability," and "Personal security protection" are critical satisfaction gaps. From the influence network and weight results, "information quality" and "system quality" were the critical quality factors in the home nursing mobile APP. The influence of the network relationship structure and weight demonstrated a 98.12% significance level, indicating good stability.

conclusionContinuous improvement in information and system quality is recommended to optimize the overall quality of the home nursing mobile APP. Additionally, user demands should be considered, and personal safety guarantee functions should be developed and integrated into the system to ensure the safety of home nursing workers.

Indexed as

Decision making and trial evaluation laboratory (DEMATEL)Home nursingImportance-performance analysis (IPA)Mobile Application (APP)Multi-criteria decision-making (MCDM)Satisfaction

Identifiers

PMID38724959
PMCPMC11080210

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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.