Accepted for/Published in: JMIR Formative Research
Date Submitted: Apr 3, 2024
Open Peer Review Period: Apr 3, 2024 - May 29, 2024
Date Accepted: Sep 5, 2024
(closed for review but you can still tweet)
Collecting Real-Time Patient-Reported Outcome Data During Latent Labor: A Feasibility Study of the MyCap Mobile Application in Prospective Person-Centered Research
ABSTRACT
Background:
Patient reported data collected for research purposes are most valid when reported by patients in real-time; however, this type of data is difficult to collect from patients experiencing acute health events like labor.
Objective:
The purpose of this preliminary study was to evaluate feasibility and identify potential issues in real-time patient-reported data collection through the MyCap smart phone app to characterize latent labor symptoms as a use case for this new mHealth research technology.
Methods:
In this descriptive cohort study, we quantified and characterized data collected prospectively through MyCap and the extent to which participants engaged with the app as a research tool for collecting patient-reported data in real-time. Longitudinal quantitative and qualitative surveys were sent to (N = 17) enrolled patients with term pregnancies planning vaginal birth at [redacted] University. Participants were trained in app use prenatally and were invited to initiate the research survey on their personal smart phone via MyCap when they experienced labor symptoms; MyCap then sent survey reminders every 3 hours to collect longitudinal data.
Results:
During latent labor, 13 (76.5%) participants (all those who labored at home and two thirds of those who were induced) recorded at least one symptom report during latent labor. A total of 191 quantitative symptom reports (mean 10 per participant) were recorded. Four participants recorded qualitative data during labor and 14 responded to qualitative prompts in the postpartum period.
Conclusions:
Use of MyCap was feasible for collecting prospective data of patient-reported symptoms during latent labor. Participants reported more symptoms than described in previous retrospective studies suggesting that MyCap may reduce recall bias and facilitate more accurate data collection for patient-reported symptoms during acute health events that occur outside of healthcare settings. Clinical Trial: n/a
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.