TY - JOUR
T1 - Digital health technologies for peripartum depression management among low-socioeconomic populations
T2 - perspectives from patients, providers, and social media channels
AU - Zingg, Alexandra
AU - Singh, Tavleen
AU - Franklin, Amy
AU - Ross, Angela
AU - Selvaraj, Sudhakar
AU - Refuerzo, Jerrie
AU - Myneni, Sahiti
N1 - Funding Information:
Research reported in this publication was partly supported by the National Library of Medicine of the National Institutes of Health under award numbers 1R01LM012974-01A1. Sudhakar Selvaraj has received grants/research support from NIMH (1R21MH119441-01A1), NIMH (1R21MH129888-01A1), NICHD (1R21HD106779-01A1) and Don and Anne Fizer Foundation. The content of this study is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The UTHealth institution played no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Funding Information:
We would like to thank all clinic staff, patients, and providers at UT Physicians who contributed their time and insights. We would also like to thank faculty, staff, and students at the UT School of Biomedical Informatics Center for Digital Health and Analytics for their contributions to this study.
Publisher Copyright:
© 2023, The Author(s).
PY - 2023/6/3
Y1 - 2023/6/3
N2 - 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.
AB - 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.
KW - Digital health
KW - Mental health
KW - Mobile health
KW - Social media
KW - Social Media
KW - Humans
KW - Depression/therapy
KW - Peripartum Period
KW - Socioeconomic Factors
KW - Pregnancy
KW - Digital Technology
KW - Female
KW - Depression, Postpartum/psychology
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U2 - 10.1186/s12884-023-05729-9
DO - 10.1186/s12884-023-05729-9
M3 - Article
C2 - 37270494
AN - SCOPUS:85160881893
VL - 23
SP - 411
JO - BMC Pregnancy and Childbirth
JF - BMC Pregnancy and Childbirth
SN - 1471-2393
IS - 1
M1 - 411
ER -