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Accepted for/Published in: JMIR Formative Research

Date Submitted: Dec 9, 2021
Date Accepted: Mar 30, 2022

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

Assessing Engagement With Patient-Generated Health Data Recording and Its Impact on Health Behavior Changes in Multicomponent Interventions: Supplementary Analysis

Kinouchi K, Ohashi T

Assessing Engagement With Patient-Generated Health Data Recording and Its Impact on Health Behavior Changes in Multicomponent Interventions: Supplementary Analysis

JMIR Form Res 2022;6(5):e35471

DOI: 10.2196/35471

PMID: 35503411

PMCID: 9115657

Assessing the Engagement with Patient-generated Health Data Recording and its Impact on Health Behavior Changes in Multicomponent Interventions: Supplementary Analysis

  • Kaori Kinouchi; 
  • Tomokazu Ohashi

ABSTRACT

Background:

The usage and sharing of patient-generated health data (PGHD) by clinicians or researchers is expected to enhance remote monitoring of specific behaviors that affect patient health, and to support patients’ decision-making about preventive care management, resulting in cost savings. However, there is a lack of sufficient evidence on the usage and sharing of PGHD and conclusion about the impact between PGHD recording and health behavior changes.

Objective:

This study aimed to assess the engagement with PGHD recording and to examine the impact between PGHD recording and health behavior changes.

Methods:

The study was a supplementary analysis using the data of 47 postpartum women assigned to the intervention group of our previous study for managing urinary incontinence. To assess the engagement with PGHD recording during the intervention period (8 weeks), the transition in the number of PGHD recorders was illustrated by an approximate curve. In addition, to assess the pelvic floor muscle training (PFMT) adherence, weekly mean numbers of pelvic floor muscle contractions (PFMCs) per day among 17 PGHD recorders continuously was examined by latent class analysis (LCA).

Results:

The transition in the number of PGHD recorders was illustrated with the sigmoid curve formula (R-Square, R2 = 0.91). During the first week from the beginning of intervention, the percentage of recorders remained constant around 66.0% (n = 31/47) and decreased rapidly from the second to third week. After the fourth week, 36.2% (n = 17/47) PGHD recorders continued until the end of the intervention. Using these 17 PGHD recorders continuously, PFMT adherence was categorized into 3 levels class by LCA; high (n = 7, 41.2%), middle (n = 3, 17.6%), and low levels class (n = 7, 41.2%).

Conclusions:

The number of PGHD recorders declined over time by drawing a sigmoid curve. Small number of users recorded PGHD continuously, so engagement with PGHD recording might be low. More than half of PGHD recorders (n = 10, 58.8%, combined middle and low-level class) had poor PFMT adherence. These results suggested that PGHD recording do not always promote health behavior changes.


 Citation

Please cite as:

Kinouchi K, Ohashi T

Assessing Engagement With Patient-Generated Health Data Recording and Its Impact on Health Behavior Changes in Multicomponent Interventions: Supplementary Analysis

JMIR Form Res 2022;6(5):e35471

DOI: 10.2196/35471

PMID: 35503411

PMCID: 9115657

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