Optimizing a Novel Smartphone App to Prevent Postpartum Depression Adapted From an Evidence-Based Cognitive Behavioral Therapy Program: Qualitative Study

Abstract BackgroundLow-income pregnant patients are at high risk of postpartum depression (PPD). Mothers and Babies (MB) is a cognitive behavioral therapy–based program that prevents up to 50% of de novo PPD when provided in person to low-income Spanish- and English-speaking p...

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Main Authors: Adam K Lewkowitz, Melissa Guillen, Katrina Ursino, Rackeem Baker, Liana Lum, Cynthia L Battle, Crystal Ware, Nina K Ayala, Melissa Clark, Megan L Ranney, Emily S Miller, Kate M Guthrie
Format: Article
Language:English
Published: JMIR Publications 2024-12-01
Series:JMIR Human Factors
Online Access:https://humanfactors.jmir.org/2024/1/e63143
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author Adam K Lewkowitz
Melissa Guillen
Katrina Ursino
Rackeem Baker
Liana Lum
Cynthia L Battle
Crystal Ware
Nina K Ayala
Melissa Clark
Megan L Ranney
Emily S Miller
Kate M Guthrie
author_facet Adam K Lewkowitz
Melissa Guillen
Katrina Ursino
Rackeem Baker
Liana Lum
Cynthia L Battle
Crystal Ware
Nina K Ayala
Melissa Clark
Megan L Ranney
Emily S Miller
Kate M Guthrie
author_sort Adam K Lewkowitz
collection DOAJ
description Abstract BackgroundLow-income pregnant patients are at high risk of postpartum depression (PPD). Mothers and Babies (MB) is a cognitive behavioral therapy–based program that prevents up to 50% of de novo PPD when provided in person to low-income Spanish- and English-speaking people who are pregnant without depression. MB is limited by the need for trained personnel to support it. Transforming MB into a smartphone app may mitigate this key barrier. ObjectiveWe aimed to use qualitative data from target end users to create and optimize MBapp, a novel app centered on the MB program. MethodsDraft wireframes of MBapp were created in English and Spanish with cognitive behavioral therapy–based modules adapted from MB. These wireframes included several features shown previously to sustain app engagement: (1) push notifications delivered at participant-preferred times; (2) text-, graphic-, and video-based content; and (3) gamification with digital rewards for app engagement. English- or Spanish-speaking individuals with public health insurance who were between 32 weeks gestation and 6 months post partum and owned smartphones were eligible to consent for individual in-depth interviews. Individuals with prior or current depression were excluded. Interviews were recorded, transcribed, and analyzed using deductive and inductive codes to characterize opinions about MBapp and perceptions of challenges and facilitators of use of MBapp or other perinatal or mental health apps. End user feedback led to major modifications to the wireframes. Each of these changes was categorized according to the FRAME (Framework for Modification and Adaptation), an established method of systematically reporting adaptations and modifications to evidence-based interventions via end user feedback. Recruitment ceased with content saturation, defined as 3 successive participants providing only positive feedback on MBapp’s wireframe, without further suggestions for improvement. ResultsA total of 25 interviews were completed. Participants were racially and ethnically diverse, generally representing our target end user population, and 48% (n=12) of interviews were conducted in Spanish. Participants’ suggestions to improve MBapp were categorized within the FRAME as adaptations that improved either content or context to optimize reach, retention, engagement, and fit for end users. Specifically, the following features were added to MBapp secondary to end user feedback: (1) audio narration; (2) “ask a clinician” nonurgent questions; (3) on-demand module summaries accessible upon module completion; and (4) choice to defer assessments and start the next module. Participants also provided insights into features of perinatal or mental health apps they found appealing or unappealing to understand preferences, challenges, and negotiables or nonnegotiables for MBapp. ConclusionsAdapting MBapp to incorporate end users’ perspectives optimized our digital PPD prevention intervention, ideally increasing its appeal to future users. Our team’s next steps will confirm that MBapp is a feasible, acceptable intervention among English- and Spanish-speaking perinatal people at risk of PPD.
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spelling doaj-art-587f68a4a36c481dad5e9e66b5944d992024-12-16T22:02:24ZengJMIR PublicationsJMIR Human Factors2292-94952024-12-0111e63143e6314310.2196/63143Optimizing a Novel Smartphone App to Prevent Postpartum Depression Adapted From an Evidence-Based Cognitive Behavioral Therapy Program: Qualitative StudyAdam K Lewkowitzhttp://orcid.org/0000-0002-8706-1409Melissa Guillenhttp://orcid.org/0009-0008-8783-2358Katrina Ursinohttp://orcid.org/0009-0008-6652-441XRackeem Bakerhttp://orcid.org/0009-0008-6006-8847Liana Lumhttp://orcid.org/0009-0009-9709-451XCynthia L Battlehttp://orcid.org/0000-0002-0594-5164Crystal Warehttp://orcid.org/0000-0001-5069-2488Nina K Ayalahttp://orcid.org/0000-0001-8737-407XMelissa Clarkhttp://orcid.org/0000-0001-6104-8639Megan L Ranneyhttp://orcid.org/0000-0002-8450-9642Emily S Millerhttp://orcid.org/0000-0001-9927-1043Kate M Guthriehttp://orcid.org/0000-0002-5528-1212 Abstract BackgroundLow-income pregnant patients are at high risk of postpartum depression (PPD). Mothers and Babies (MB) is a cognitive behavioral therapy–based program that prevents up to 50% of de novo PPD when provided in person to low-income Spanish- and English-speaking people who are pregnant without depression. MB is limited by the need for trained personnel to support it. Transforming MB into a smartphone app may mitigate this key barrier. ObjectiveWe aimed to use qualitative data from target end users to create and optimize MBapp, a novel app centered on the MB program. MethodsDraft wireframes of MBapp were created in English and Spanish with cognitive behavioral therapy–based modules adapted from MB. These wireframes included several features shown previously to sustain app engagement: (1) push notifications delivered at participant-preferred times; (2) text-, graphic-, and video-based content; and (3) gamification with digital rewards for app engagement. English- or Spanish-speaking individuals with public health insurance who were between 32 weeks gestation and 6 months post partum and owned smartphones were eligible to consent for individual in-depth interviews. Individuals with prior or current depression were excluded. Interviews were recorded, transcribed, and analyzed using deductive and inductive codes to characterize opinions about MBapp and perceptions of challenges and facilitators of use of MBapp or other perinatal or mental health apps. End user feedback led to major modifications to the wireframes. Each of these changes was categorized according to the FRAME (Framework for Modification and Adaptation), an established method of systematically reporting adaptations and modifications to evidence-based interventions via end user feedback. Recruitment ceased with content saturation, defined as 3 successive participants providing only positive feedback on MBapp’s wireframe, without further suggestions for improvement. ResultsA total of 25 interviews were completed. Participants were racially and ethnically diverse, generally representing our target end user population, and 48% (n=12) of interviews were conducted in Spanish. Participants’ suggestions to improve MBapp were categorized within the FRAME as adaptations that improved either content or context to optimize reach, retention, engagement, and fit for end users. Specifically, the following features were added to MBapp secondary to end user feedback: (1) audio narration; (2) “ask a clinician” nonurgent questions; (3) on-demand module summaries accessible upon module completion; and (4) choice to defer assessments and start the next module. Participants also provided insights into features of perinatal or mental health apps they found appealing or unappealing to understand preferences, challenges, and negotiables or nonnegotiables for MBapp. ConclusionsAdapting MBapp to incorporate end users’ perspectives optimized our digital PPD prevention intervention, ideally increasing its appeal to future users. Our team’s next steps will confirm that MBapp is a feasible, acceptable intervention among English- and Spanish-speaking perinatal people at risk of PPD.https://humanfactors.jmir.org/2024/1/e63143
spellingShingle Adam K Lewkowitz
Melissa Guillen
Katrina Ursino
Rackeem Baker
Liana Lum
Cynthia L Battle
Crystal Ware
Nina K Ayala
Melissa Clark
Megan L Ranney
Emily S Miller
Kate M Guthrie
Optimizing a Novel Smartphone App to Prevent Postpartum Depression Adapted From an Evidence-Based Cognitive Behavioral Therapy Program: Qualitative Study
JMIR Human Factors
title Optimizing a Novel Smartphone App to Prevent Postpartum Depression Adapted From an Evidence-Based Cognitive Behavioral Therapy Program: Qualitative Study
title_full Optimizing a Novel Smartphone App to Prevent Postpartum Depression Adapted From an Evidence-Based Cognitive Behavioral Therapy Program: Qualitative Study
title_fullStr Optimizing a Novel Smartphone App to Prevent Postpartum Depression Adapted From an Evidence-Based Cognitive Behavioral Therapy Program: Qualitative Study
title_full_unstemmed Optimizing a Novel Smartphone App to Prevent Postpartum Depression Adapted From an Evidence-Based Cognitive Behavioral Therapy Program: Qualitative Study
title_short Optimizing a Novel Smartphone App to Prevent Postpartum Depression Adapted From an Evidence-Based Cognitive Behavioral Therapy Program: Qualitative Study
title_sort optimizing a novel smartphone app to prevent postpartum depression adapted from an evidence based cognitive behavioral therapy program qualitative study
url https://humanfactors.jmir.org/2024/1/e63143
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