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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Apr 7, 2021
Open Peer Review Period: Apr 6, 2021 - Jun 1, 2021
Date Accepted: Feb 24, 2022
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Cost-Effectiveness of Mobile Health–Based Integrated Care for Atrial Fibrillation: Model Development and Data Analysis

Luo X, Xu W, Yuan Q, Lai H, Huang C

Cost-Effectiveness of Mobile Health–Based Integrated Care for Atrial Fibrillation: Model Development and Data Analysis

J Med Internet Res 2022;24(4):e29408

DOI: 10.2196/29408

PMID: 35438646

PMCID: 9066334

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Cost-effectiveness of mobile health-based integrated care for atrial fibrillation: Model development and data analysis

  • Xueyan Luo; 
  • Wei Xu; 
  • Quan Yuan; 
  • Han Lai; 
  • Chunji Huang

ABSTRACT

Background:

Mobile health (mhealth) technology is increasingly used in disease management. Using mhealth tools to integrate and streamline care was found to improve atrial fibrillation (AF) patients’ clinical outcomes.

Objective:

This study aimed to investigate the potential clinical and health economic outcomes of mhealth-based integrated care for AF from the perspective of a public healthcare provider in China.

Methods:

A Markov model was designed to compare outcomes of mhealth-based care and usual care in a hypothetical cohort of AF patients in China. The time horizon was 30 years with monthly cycles. Model outcomes measured were direct medical cost, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs). Sensitivity analyses were conducted to examine the robustness of base-case results.

Results:

In the base-case analysis, mhealth-based care gained higher QALYs of 0.0818 with an incurred cost of USD1,778. Using USD33,438 per QALY (three times gross domestic product) as the willingness-to-pay threshold, mhealth-based care was cost-effective, with an ICER of USD21,739 per QALY. The one-way sensitivity analysis found compliance to mhealth-based care had the greatest impact on the ICER. In probabilistic sensitivity analysis, mhealth-based care was accepted as cost-effective in 80.91% of 10,000 iterations.

Conclusions:

This study suggested that the use of mhealth technology in streamlining and integrating care for AF patients was cost-effective in China.


 Citation

Please cite as:

Luo X, Xu W, Yuan Q, Lai H, Huang C

Cost-Effectiveness of Mobile Health–Based Integrated Care for Atrial Fibrillation: Model Development and Data Analysis

J Med Internet Res 2022;24(4):e29408

DOI: 10.2196/29408

PMID: 35438646

PMCID: 9066334

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