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. 2024 Jun 6;23(1):385.
doi: 10.1186/s12912-024-02049-x.

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

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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

Hong Chengang et al. BMC Nurs. .

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.

Keywords: Breast cancer patients; Case management; Contextual analysis; M-health; Multi-stage optimization strategy; Transitional care; User-centered design.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The theory framework of the mini-program
Fig. 2
Fig. 2
Supportive care needs of out-of-hospital breast cancer patients
Fig. 3
Fig. 3
Overview of the CMBM software development process
Fig. 4
Fig. 4
The main menu of patient-end program
Fig. 5
Fig. 5
The main menu of nurse-end program
Fig. 6
Fig. 6
System availability scale (SUS) score of patients

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