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

Author:

Zingg Alexandra,Singh Tavleen,Franklin Amy,Ross Angela,Selvaraj Sudhakar,Refuerzo Jerrie,Myneni Sahiti

Abstract

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.

Funder

National Institutes of Health

Anne and Don Fizer Foundation

Publisher

Springer Science and Business Media LLC

Subject

Obstetrics and Gynecology

Reference58 articles.

1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. Fith Edition, Text Revision ed2022.

2. Lee DT, Chung TK. Postnatal depression: an update. Best Pract Res Clin Obstet Gynaecol. 2007;21(2):183–91.

3. Vigod SN, Wilson CA, Howard LM. Depression in pregnancy. BMJ. 2016;352:i1547.

4. Centers for Disease Control and Prevention. Depression Among Women 2022 [Available from: https://www.cdc.gov/reproductivehealth/depression/index.htm.

5. Dennis CL, Chung-Lee L. Postpartum depression help-seeking barriers and maternal treatment preferences: a qualitative systematic review. Birth. 2006;33(4):323–31.

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