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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.
Chengang, Hong; Liping, Wang; Shujin, Wang; Chen, Chen; Jiayue, Yang; Jingjing, Lu; Shujie, Hua; Jieming, Wu; Liyan, Yao; Ni, Zeng; Jinhui, Chu; Jiaqi, Sun.
Afiliação
  • Chengang H; School of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
  • Liping W; School of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China. wangliping111@126.com.
  • Shujin W; School of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
  • Chen C; School of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
  • Jiayue Y; School of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
  • Jingjing L; School of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
  • Shujie H; School of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
  • Jieming W; School of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
  • Liyan Y; School of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
  • Ni Z; School of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
  • Jinhui C; School of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
  • Jiaqi S; School of Nursing, Hangzhou Normal University, Hangzhou City, Zhejiang Province, 311100, China.
BMC Nurs ; 23(1): 385, 2024 Jun 06.
Article em En | MEDLINE | ID: mdl-38844982
ABSTRACT

BACKGROUND:

None 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.

METHODS:

We 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.

RESULTS:

Through 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.

CONCLUSIONS:

Based 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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article