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Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

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Enhancing System Acceptance through User-Centred Design: Integrating Patient Generated Wellness Data.

Sarita Pais¹, Krassie Petrova¹, Dave Parry²

¹Department of Computer Science & Software Engineering, Auckland University of Technology, Auckland 1010, New Zealand.

Sensors (Basel, Switzerland)

|January 11, 2022

Summary

This summary is machine-generated.

Gestational diabetes mellitus (GDM) management can be improved with a new mobile health system. This system integrates patient wellness data for better clinical oversight, enhancing care for pregnant individuals with GDM.

Keywords:

TAM UCD gestational diabetes mellitus mHealth mobile app system acceptance think-aloud protocol user-centred design

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Area of Science:

Medical Informatics
Digital Health
Pregnancy Research

Background:

Gestational diabetes mellitus (GDM) poses risks to both mother and fetus, necessitating careful management.
Current wellness apps lack integration with clinical systems and specific GDM management features.
Existing solutions fail to permanently store patient data or facilitate seamless transfer to healthcare providers.

Purpose of the Study:

To design and develop a novel mobile health (mHealth) system for GDM management.
To integrate diverse user-generated wellness data into a centralized database.
To evaluate the system's effectiveness in promoting user acceptance and adoption.

Main Methods:

A user-centered design (UCD) approach informed by the Technology Acceptance Model (TAM).
Interviews with clinical users (physicians, dietitians, obstetricians, midwives) to define functional requirements.
Usability testing using 'think aloud' sessions with clinicians and GDM patients.

Main Results:

The developed mHealth system successfully integrates various wellness data types.
The UCD approach, focusing on usefulness and ease of use, facilitated system acceptance.
Iterative refinement through user feedback addressed specific clinical and patient needs.

Conclusions:

The proposed mHealth system offers a viable solution for improved GDM management.
Integrating patient-generated data enhances clinical decision-making and patient care.
The UCD methodology is effective for developing user-accepted and adoptable health technologies.