Collecting Real-Time Patient-Reported Outcome Data During Latent Labor: Feasibility Study of the MyCap Mobile App in Prospective Person-Centered Research
MyCap is a feasible tool for collecting prospective data on patient-reported symptoms during latent labor. Participants engaged actively with quantitative symptom reporting, though qualitative data collection was more challenging. The use of MyCap appears to reduce recall bias and facilitate more accurate data collection for patient-reported symptoms during acute health events outside of health care settings. Future research should explore strategies to enhance qualitative data collection and assess the tool's usability across more diverse populations and disease states.
Authors
- Leah R. Holmes (ORCID: https://orcid.org/0000-0001-7365-0125)
- Ellen L. Tilden (ORCID: https://orcid.org/0000-0002-2457-1807)
- Julia C. Phillippi (ORCID: https://orcid.org/0000-0002-6549-094X)
- Elise N. Erickson (ORCID: https://orcid.org/0000-0002-6655-3500)
- Katherine Kissler (ORCID: https://orcid.org/0000-0002-5753-720X)
Institutions
- University of Arizona (US)
- Oregon Health & Science University (US)
- Vanderbilt University (US)
- University of Colorado Anschutz Medical Campus (US)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2024-11-08
- DOI
- https://doi.org/10.2196/59155
- Citations
- 1
- Primary Topic
- Maternal and Perinatal Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.58
Funders
- Vanderbilt University
- Vanderbilt University Medical Center
- National Institutes of Health
- National Center for Advancing Translational Sciences