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

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 ha...

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Autores principales: Zingg, Alexandra, Singh, Tavleen, Franklin, Amy, Ross, Angela, Selvaraj, Sudhakar, Refuerzo, Jerrie, Myneni, Sahiti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239590/
https://www.ncbi.nlm.nih.gov/pubmed/37270494
http://dx.doi.org/10.1186/s12884-023-05729-9
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author Zingg, Alexandra
Singh, Tavleen
Franklin, Amy
Ross, Angela
Selvaraj, Sudhakar
Refuerzo, Jerrie
Myneni, Sahiti
author_facet Zingg, Alexandra
Singh, Tavleen
Franklin, Amy
Ross, Angela
Selvaraj, Sudhakar
Refuerzo, Jerrie
Myneni, Sahiti
author_sort Zingg, Alexandra
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05729-9.
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spelling pubmed-102395902023-06-05 Digital health technologies for peripartum depression management among low-socioeconomic populations: perspectives from patients, providers, and social media channels Zingg, Alexandra Singh, Tavleen Franklin, Amy Ross, Angela Selvaraj, Sudhakar Refuerzo, Jerrie Myneni, Sahiti BMC Pregnancy Childbirth Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05729-9. BioMed Central 2023-06-03 /pmc/articles/PMC10239590/ /pubmed/37270494 http://dx.doi.org/10.1186/s12884-023-05729-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zingg, Alexandra
Singh, Tavleen
Franklin, Amy
Ross, Angela
Selvaraj, Sudhakar
Refuerzo, Jerrie
Myneni, Sahiti
Digital health technologies for peripartum depression management among low-socioeconomic populations: perspectives from patients, providers, and social media channels
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 Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239590/
https://www.ncbi.nlm.nih.gov/pubmed/37270494
http://dx.doi.org/10.1186/s12884-023-05729-9
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