Accepted for/Published in: JMIR Formative Research
Date Submitted: Dec 2, 2022
Open Peer Review Period: Dec 2, 2022 - Dec 16, 2022
Date Accepted: Feb 26, 2023
(closed for review but you can still tweet)
Expectant parents’ preferences for teaching by texting: a development and usability study of SmartMom
ABSTRACT
Background:
SmartMom is an evidence-based prenatal education texting program that overcomes barriers to prenatal class attendance including rural or remote location, cost, stigma among participants, lack of instructors, and cessation of classes during the COVID-19 pandemic.
Objective:
We sought to explore perceived information needs and preferences for content and structure of prenatal education mHealth programs among persons enrolled or eligible to enrol in SmartMom.
Methods:
This was a qualitative focus group study. Participants were at least 20 years of age, residents of British Columbia, fluent in English and either currently pregnant or pregnant within the last year. Focus groups took place via videoconference technology (Zoom) between August and December 2020. We used reflexive thematic analysis to analyze transcripts.
Results:
We conducted six semi-structured focus groups with 16 participants. Our analysis revealed that “having reliable information is the most important thing” (Theme 1), pregnant people value inclusive, local, and strengths-based information (Theme 2), and text messages are a simple, easy, and timely modality: “It was nice to have that [information] fed to you” (Theme 3). Participants perceived that SmartMom texts met their needs for prenatal education and were more convenient than using apps. SmartMom opt-in supplemental message streams, which allowed users to tailor the program to their needs, were viewed favourably.
Conclusions:
Pregnant people have concerns about the reliability and comprehensiveness of currently available prenatal education apps. The SmartMom program was viewed as being evidence-based, providing comprehensive content without searching, and permitting tailoring to individual needs through opt-in message streams.
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