Digital Patient Decision Aid for Antiobesity Medications: Mixed Methods Study of Human-Centered Design and Usability Evaluation - Report - MDSpire

Digital Patient Decision Aid for Antiobesity Medications: Mixed Methods Study of Human-Centered Design and Usability Evaluation

  • By

  • Li-Jen Wang

  • Yi-Jen Wang

  • Yu-Lun Cheng

  • Wen-Liang Fang

  • Weu Wang

  • Meng-Cong Zheng

  • May 15, 2026

  • 0 min

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Clinical Report: Patient-Centered Digital Decision Support for Antiobesity Treatments

Overview

This report evaluates a digital patient decision aid (PDA) designed to assist adults in Taiwan in selecting antiobesity medications (AOMs). The study highlights the importance of shared decision-making in obesity treatment and the need for tailored decision support tools to improve patient engagement and outcomes.

Background

Obesity is a significant global health issue, with rising prevalence rates leading to increased risks of chronic diseases. In Taiwan, the prevalence of overweight and obesity has surpassed 50% among adults, necessitating effective weight management strategies. Shared decision-making is crucial in obesity care, particularly when selecting among various AOMs, as these decisions should align with individual patient values and preferences.

Data Highlights

No numerical or trial data available in the source material.

Key Findings

  • The prevalence of overweight and obesity in Taiwan rose from 32.7% in 1993-1996 to 50.8% in 2022.
  • Shared decision-making (SDM) enhances patient engagement and improves treatment outcomes in obesity care.
  • Existing patient decision aids primarily target surgical options, leaving a gap for adults considering AOMs.
  • A human-centered design process was used to develop a digital PDA tailored for AOMs in Taiwanese clinical settings.
  • Unmet information needs and weight stigma can hinder patient engagement with healthcare providers.

Clinical Implications

Healthcare professionals should consider implementing digital PDAs to facilitate shared decision-making in obesity treatment. These tools can help patients better understand their options and align treatment choices with their personal values, ultimately leading to improved adherence and outcomes.

Conclusion

The development of a patient-centered digital decision aid represents a significant step towards enhancing shared decision-making in obesity treatment. By addressing the specific needs of patients considering AOMs, this tool aims to improve engagement and treatment satisfaction.

Related Resources & Content

  1. World Obesity Atlas, 2024 -- Global burden of obesity
  2. American Association of Clinical Endocrinology Consensus Statement, 2025 -- Algorithm for the Evaluation and Treatment of Adults with Obesity
  3. npj Digital Medicine, 2025 -- Mixed methods evaluation of a clinical decision support system
  4. Obesity Surgery, 2024 -- Creating a Clinical Decision Support Tool for Obesity Management
  5. npj Digital Medicine — Evaluating the Impact of Digital Health Interventions on Patient-Reported Outcomes in Perioperative Care: A Network Meta-Analysis
  6. Journal of Medical Internet Research (JMIR) — A Stepped Care Approach to Promoting Engagement in a Digital Health Intervention: Secondary Analysis of a Randomized Controlled Trial
  7. Tirzepatide Tops Semaglutide for Weight Loss: SURMOUNT-5
  8. A systematic review and meta-analysis of the efficacy and safety of pharmacological treatments for obesity in adults
  9. American Association of Clinical Endocrinology Consensus Statement: Algorithm for the Evaluation and Treatment of Adults with Obesity/Adiposity-Based Chronic Disease – 2025 Update - ScienceDirect

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