Digital health technologies for peripartum depression management among low-socioeconomic populations: perspectives from patients, providers, and social media channels

Abstract Background Peripartum Depression (PPD) affects approximately 10–15% of perinatal women in the U.S., with those of low socioeconomic status (low-SES) more likely to develop symptoms. Multilevel treatment barriers including social stigma and not having appropriate access to mental health reso...

Full description

Bibliographic Details
Main Authors: Alexandra Zingg, Tavleen Singh, Amy Franklin, Angela Ross, Sudhakar Selvaraj, Jerrie Refuerzo, Sahiti Myneni
Format: Article
Language:English
Published: BMC 2023-06-01
Series:BMC Pregnancy and Childbirth
Subjects:
Online Access:https://doi.org/10.1186/s12884-023-05729-9
_version_ 1797811264181764096
author Alexandra Zingg
Tavleen Singh
Amy Franklin
Angela Ross
Sudhakar Selvaraj
Jerrie Refuerzo
Sahiti Myneni
author_facet Alexandra Zingg
Tavleen Singh
Amy Franklin
Angela Ross
Sudhakar Selvaraj
Jerrie Refuerzo
Sahiti Myneni
author_sort Alexandra Zingg
collection DOAJ
description Abstract Background Peripartum Depression (PPD) affects approximately 10–15% of perinatal women in the U.S., with those of low socioeconomic status (low-SES) more likely to develop symptoms. Multilevel treatment barriers including social stigma and not having appropriate access to mental health resources have played a major role in PPD-related disparities. Emerging advances in digital technologies and analytics provide opportunities to identify and address access barriers, knowledge gaps, and engagement issues. However, most market solutions for PPD prevention and management are produced generically without considering the specialized needs of low-SES populations. In this study, we examine and portray the information and technology needs of low-SES women by considering their unique perspectives and providers’ current experiences. We supplement our understanding of women’s needs by harvesting online social discourse in PPD-related forums, which we identify as valuable information resources among these populations. Methods We conducted (a) 2 focus groups (n = 9), (b) semi-structured interviews with care providers (n = 9) and low SES women (n = 10), and (c) secondary analysis of online messages (n = 1,424). Qualitative data were inductively analyzed using a grounded theory approach. Results A total of 134 open concepts resulted from patient interviews, 185 from provider interviews, and 106 from focus groups. These revealed six core themes for PPD management, including “Use of Technology/Features”, “Access to Care”, and “Pregnancy Education”. Our social media analysis revealed six PPD topics of importance in online messages, including “Physical and Mental Health” (n = 725 messages), and “Social Support” (n = 674). Conclusion Our data triangulation allowed us to analyze PPD information and technology needs at different levels of granularity. Differences between patients and providers included a focus from providers on needing better support from administrative staff, as well as better PPD clinical decision support. Our results can inform future research and development efforts to address PPD health disparities.
first_indexed 2024-03-13T07:20:02Z
format Article
id doaj.art-5792f83c7f7a41f48047b5caeb3cb077
institution Directory Open Access Journal
issn 1471-2393
language English
last_indexed 2024-03-13T07:20:02Z
publishDate 2023-06-01
publisher BMC
record_format Article
series BMC Pregnancy and Childbirth
spelling doaj.art-5792f83c7f7a41f48047b5caeb3cb0772023-06-04T11:41:25ZengBMCBMC Pregnancy and Childbirth1471-23932023-06-0123111210.1186/s12884-023-05729-9Digital health technologies for peripartum depression management among low-socioeconomic populations: perspectives from patients, providers, and social media channelsAlexandra Zingg0Tavleen Singh1Amy Franklin2Angela Ross3Sudhakar Selvaraj4Jerrie Refuerzo5Sahiti Myneni6McWilliams School of Biomedical Informatics, University of Texas Health Science Center at HoustonMcWilliams School of Biomedical Informatics, University of Texas Health Science Center at HoustonMcWilliams School of Biomedical Informatics, University of Texas Health Science Center at HoustonMcWilliams School of Biomedical Informatics, University of Texas Health Science Center at HoustonFaillace Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, McGovern Medical SchoolUT Physician’s Women’s Center, University of Texas Health Science Center at HoustonMcWilliams School of Biomedical Informatics, University of Texas Health Science Center at HoustonAbstract Background Peripartum Depression (PPD) affects approximately 10–15% of perinatal women in the U.S., with those of low socioeconomic status (low-SES) more likely to develop symptoms. Multilevel treatment barriers including social stigma and not having appropriate access to mental health resources have played a major role in PPD-related disparities. Emerging advances in digital technologies and analytics provide opportunities to identify and address access barriers, knowledge gaps, and engagement issues. However, most market solutions for PPD prevention and management are produced generically without considering the specialized needs of low-SES populations. In this study, we examine and portray the information and technology needs of low-SES women by considering their unique perspectives and providers’ current experiences. We supplement our understanding of women’s needs by harvesting online social discourse in PPD-related forums, which we identify as valuable information resources among these populations. Methods We conducted (a) 2 focus groups (n = 9), (b) semi-structured interviews with care providers (n = 9) and low SES women (n = 10), and (c) secondary analysis of online messages (n = 1,424). Qualitative data were inductively analyzed using a grounded theory approach. Results A total of 134 open concepts resulted from patient interviews, 185 from provider interviews, and 106 from focus groups. These revealed six core themes for PPD management, including “Use of Technology/Features”, “Access to Care”, and “Pregnancy Education”. Our social media analysis revealed six PPD topics of importance in online messages, including “Physical and Mental Health” (n = 725 messages), and “Social Support” (n = 674). Conclusion Our data triangulation allowed us to analyze PPD information and technology needs at different levels of granularity. Differences between patients and providers included a focus from providers on needing better support from administrative staff, as well as better PPD clinical decision support. Our results can inform future research and development efforts to address PPD health disparities.https://doi.org/10.1186/s12884-023-05729-9Mental healthDigital healthMobile healthSocial media
spellingShingle Alexandra Zingg
Tavleen Singh
Amy Franklin
Angela Ross
Sudhakar Selvaraj
Jerrie Refuerzo
Sahiti Myneni
Digital health technologies for peripartum depression management among low-socioeconomic populations: perspectives from patients, providers, and social media channels
BMC Pregnancy and Childbirth
Mental health
Digital health
Mobile health
Social media
title Digital health technologies for peripartum depression management among low-socioeconomic populations: perspectives from patients, providers, and social media channels
title_full Digital health technologies for peripartum depression management among low-socioeconomic populations: perspectives from patients, providers, and social media channels
title_fullStr Digital health technologies for peripartum depression management among low-socioeconomic populations: perspectives from patients, providers, and social media channels
title_full_unstemmed Digital health technologies for peripartum depression management among low-socioeconomic populations: perspectives from patients, providers, and social media channels
title_short Digital health technologies for peripartum depression management among low-socioeconomic populations: perspectives from patients, providers, and social media channels
title_sort digital health technologies for peripartum depression management among low socioeconomic populations perspectives from patients providers and social media channels
topic Mental health
Digital health
Mobile health
Social media
url https://doi.org/10.1186/s12884-023-05729-9
work_keys_str_mv AT alexandrazingg digitalhealthtechnologiesforperipartumdepressionmanagementamonglowsocioeconomicpopulationsperspectivesfrompatientsprovidersandsocialmediachannels
AT tavleensingh digitalhealthtechnologiesforperipartumdepressionmanagementamonglowsocioeconomicpopulationsperspectivesfrompatientsprovidersandsocialmediachannels
AT amyfranklin digitalhealthtechnologiesforperipartumdepressionmanagementamonglowsocioeconomicpopulationsperspectivesfrompatientsprovidersandsocialmediachannels
AT angelaross digitalhealthtechnologiesforperipartumdepressionmanagementamonglowsocioeconomicpopulationsperspectivesfrompatientsprovidersandsocialmediachannels
AT sudhakarselvaraj digitalhealthtechnologiesforperipartumdepressionmanagementamonglowsocioeconomicpopulationsperspectivesfrompatientsprovidersandsocialmediachannels
AT jerrierefuerzo digitalhealthtechnologiesforperipartumdepressionmanagementamonglowsocioeconomicpopulationsperspectivesfrompatientsprovidersandsocialmediachannels
AT sahitimyneni digitalhealthtechnologiesforperipartumdepressionmanagementamonglowsocioeconomicpopulationsperspectivesfrompatientsprovidersandsocialmediachannels