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Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
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An Application for Pairing with Wearable Devices to Monitor Personal Health Status
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Processes and Recommendations for Creating mHealth Apps for Low-Income Populations.

Laura Siga Stephan1, Eduardo Dytz Almeida1, Raphael Boesche Guimaraes1

  • 1Instituto de Cardiologia, Fundação Universitária de Cardiologia, Porto Alegre, RS, Brazil.

JMIR Mhealth and Uhealth
|April 5, 2017
PubMed
Summary

This study developed a mobile health (mHealth) app to improve shared decision-making for atrial fibrillation (AF) anticoagulation in Brazil. The research outlines key steps for creating mHealth tools for low- and medium-income countries (LMIC).

Keywords:
atrial fibrillationlow-income populationmHealth

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Area of Science:

  • Digital Health
  • Health Informatics
  • Global Health

Background:

  • Mobile health (mHealth) apps show promise for improving health outcomes but face challenges in LMIC populations.
  • Atrial fibrillation (AF) management is complex, with socioeconomic disparities affecting anticoagulant treatment.
  • Shared decision-making strategies are crucial for better AF patient outcomes, and mHealth can support this.

Purpose of the Study:

  • To describe the development of the aFib mHealth app, designed for shared decision-making on anticoagulation prophylaxis in AF patients.
  • To target a low-income, low-literacy population in Brazil.
  • To propose a framework for developing mHealth apps in LMIC contexts.

Main Methods:

  • A multidisciplinary team identified user needs and integrated the app into existing healthcare workflows.
  • Literature review informed the selection of data for the app, focusing on navigability, simple terminology, and user-friendly design.
  • The app underwent a multimethod evaluation of its usability and efficacy.

Main Results:

  • Five key steps for developing mHealth apps in LMIC were identified: problem/user characterization, literature review, information translation, data protection, and usability/efficacy evaluation.
  • The developed aFib app aims to facilitate informed patient-doctor discussions regarding anticoagulation for AF.
  • The study provides a structured approach for future mHealth development in resource-limited settings.

Conclusions:

  • The study provides evidence-based recommendations for developing mHealth applications tailored to LMIC.
  • These guidelines aim to support the creation of effective and accessible digital health tools for underserved populations.
  • The proposed framework can enhance the development of mHealth solutions for chronic disease management globally.