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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jan 23, 2025
Date Accepted: May 28, 2025

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

Impact of Patient Engagement on Blood Pressure Control Among Older Individuals With Hypertension in a Mobile Health Intervention: Longitudinal Analysis Using Latent Growth Curve Modeling

Zhang N, Lin H, Wu X, Zheng Y, Yin J, Ding C, Pan Q, Yang S, Luo H, Zou X, Ge Y, Zhang J

Impact of Patient Engagement on Blood Pressure Control Among Older Individuals With Hypertension in a Mobile Health Intervention: Longitudinal Analysis Using Latent Growth Curve Modeling

J Med Internet Res 2025;27:e71668

DOI: 10.2196/71668

PMID: 40743531

PMCID: 12313159

Impact of Patient Engagement on Blood Pressure Control among Older Individuals with Hypertension in a Mobile Health Intervention: A Longitudinal Analysis Using Latent Growth Curve Modeling

  • Nanxiang Zhang; 
  • Hai Lin; 
  • Xichun Wu; 
  • Yongjun Zheng; 
  • Jianan Yin; 
  • Chonglong Ding; 
  • Qi Pan; 
  • Shuo Yang; 
  • Hao Luo; 
  • Xinyan Zou; 
  • Yingfeng Ge; 
  • Jinxin Zhang

ABSTRACT

Background:

Limited research have investigated the influence of patient engagement on the long-term effects of mobile health (mHealth) interventions, particularly among older adults.

Objective:

This study aimed to examine the long-term impact of a social media-driven mHealth intervention on blood pressure control among elderly Chinese individuals with hypertension, through repeated measurements of patient engagement and outcomes at pre-set five time points.

Methods:

The study included elderly Chinese individuals with hypertension between 2017 and 2022. Participants received a hypertension self-management program via the WeChat social media app, which provided clinically based digital coaching. Blood pressure measurements were taken repeatedly using a home blood pressure monitor connected to the app at baseline, 3-, 6-, 9-, and 12-month. Patient engagement was evaluated based on the frequency of completed measurements at corresponding follow-ups. Latent growth curve models (LGCMs) served to assess impact of patient engagement on blood pressure among older individuals with hypertension across pre-set points.

Results:

A total of 1,723 patients completed the 12-month follow-up (average age: 70.7 years [SD 7.2], 55.8% female, baseline systolic blood pressure: 137.2 mm Hg). LGCMs revealed systolic blood pressure decreased significantly over one year, notably at 9 months (131 mmHg, β9=3.244, P<0.001), and continued up to 12 months (131.6 mmHg, β12=2.827, P<0.001). Additionally, a higher frequency of completed measurements was associated with better systolic blood pressure control at 3-, 6-, 9-, and 12-month (β3=–0.016, P=0.002; β6=–0.006, P=0.022; β9=–0.002, P=0.435; β12=–0.003, P=0.017). These results remained significant even after accounting for age, gender, and state of disease.

Conclusions:

This study, utilizing LGCMs and repeated measures data, reveals a significant positive impact of patient engagement on long-term blood pressure control in mHealth interventions targeting elderly individuals with hypertension. This research provides valuable insights into mHealth, advocating for integrating patient-centered engagement approaches into mHealth programs for chronic disease management in aging population.


 Citation

Please cite as:

Zhang N, Lin H, Wu X, Zheng Y, Yin J, Ding C, Pan Q, Yang S, Luo H, Zou X, Ge Y, Zhang J

Impact of Patient Engagement on Blood Pressure Control Among Older Individuals With Hypertension in a Mobile Health Intervention: Longitudinal Analysis Using Latent Growth Curve Modeling

J Med Internet Res 2025;27:e71668

DOI: 10.2196/71668

PMID: 40743531

PMCID: 12313159

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