Evidence map›Paper›PMID 38844982›Full record

ArticleBMC nursing2024

Multi-stage optimization strategy based on contextual analysis to create M-health components for case management model in breast cancer transitional care: the CMBM study as an example.

Hong Chengang, Wang Liping, Wang Shujin, Chen Chen, Yang Jiayue, Lu Jingjing, Hua Shujie, Wu Jieming, Yao Liyan, Zeng Ni and 2 more

Abstract read
PubMed Full text at PMC Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Hong ChengangSchool of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
Wang LipingSchool of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China. wangliping111@126.com.
Wang ShujinSchool of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
Chen ChenSchool of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
Yang JiayueSchool of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
Lu JingjingSchool of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
Hua ShujieSchool of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
Wu JiemingSchool of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
Yao LiyanSchool of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
Zeng NiSchool of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
Chu JinhuiSchool of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
Sun JiaqiSchool of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.

Funding

Zhejiang Provincial Natural Science Foundation of China LY18H160061
6 · The paper itself

Abstract

backgroundNone of the early M-Health applications are designed for case management care services. This study aims to describe the process of developing a M-health component for the case management model in breast cancer transitional care and to highlight methods for solving the common obstacles faced during the application of M-health nursing service.

methodsWe followed a four-step process: (a) Forming a cross-functional interdisciplinary development team containing two sub-teams, one for content development and the other for software development. (b) Applying self-management theory as the theoretical framework to develop the M-health application, using contextual analysis to gain a comprehensive understanding of the case management needs of oncology nursing specialists and the supportive care needs of out-of-hospital breast cancer patients. We validated the preliminary concepts of the framework and functionality of the M-health application through multiple interdisciplinary team discussions. (c) Adopting a multi-stage optimization strategy consisting of three progressive stages: screening, refining, and confirmation to develop and continually improve the WeChat mini-programs. (d) Following the user-centered principle throughout the development process and involving oncology nursing specialists and breast cancer patients at every stage.

resultsThrough a continuous, iterative development process and rigorous testing, we have developed patient-end and nurse-end program for breast cancer case management. The patient-end program contains four functional modules: "Information", "Interaction", "Management", and "My", while the nurse-end program includes three functional modules: "Consultation", "Management", and "My". The patient-end program scored 78.75 on the System Usability Scale and showed a 100% task passing rate, indicating that the programs were easy to use.

conclusionsBased on the contextual analysis, multi-stage optimization strategy, and interdisciplinary team work, a WeChat mini-program has been developed tailored to the requirements of the nurses and patients. This approach leverages the expertise of professionals from multiple disciplines to create effective and evidence-based solutions that can improve patient outcomes and quality of care.

Indexed as

Breast cancer patientsCase managementContextual analysisM-healthMulti-stage optimization strategyTransitional careUser-centered design

Identifiers

PMID38844982
PMCPMC11155158

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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.