An Intersectional Look at Use of and Satisfaction with Digital Mental Health Platforms: A Survey of Perinatal Black Women

Title of the Paper

A Cross-Analysis of Usage and Satisfaction with Digital Mental Health Platforms Among Black Women During the Prenatal and Perinatal Periods

Bibliographic Information

• Subject Area: Digital Health Interventions, Mental Health, Perinatal Women's Health
• Keywords: Health, Well-being, Digital Mental Health, Digital Health, Pregnancy, Postpartum, Black Women

Research Background and Issues

• Issues or Challenges:

  • In the United States, Black women are more likely to experience mental health issues during the perinatal period (from pregnancy to the first year after childbirth), such as anxiety and postpartum depression.
  • Black women utilize mental health services at significantly lower rates compared to other racial groups, facing barriers such as high costs, limited access to care, and distrust in the healthcare system.
  • Current research and digital health interventions predominantly focus on White and Asian women, with little exploration into how to support Black women, a group vulnerable to adverse maternal health outcomes.

• Significance of the Study:

  • Mental health issues have profound impacts on the psychological and physical health of both mothers and infants.
  • Technological innovations (e.g., digital platforms) may overcome some barriers in traditional healthcare and improve mental health outcomes for this population.
  • A multidimensional cross-analysis (e.g., income, education level) is needed to avoid homogenizing Black women as a single group and to better understand their diverse needs.

• Motivation and Related Work:

  • Existing literature shows that digital mental health tools are effective for certain populations (e.g., White women), but there is a lack of research on their usage and satisfaction among Black women.
  • The integration of traditional medicine with holistic health management approaches (e.g., music, religious practices) remains an underexplored area.

Proposed Solution

• Proposed Method or Solution:

  • Conduct a survey of 101 Black women in the United States during the prenatal and postpartum periods to study their usage frequency and satisfaction with digital mental health platforms (e.g., social media, apps, wearable self-tracking devices, and telehealth platforms).
  • Perform an in-depth analysis of differences in technology usage frequency and satisfaction across subgroups (e.g., income, education level, mental health status).

• Innovations:

  • This study is the first to systematically explore Black women's use of digital mental health tools during the perinatal period, utilizing the "Superwoman Schema" (SWS) framework to analyze the relationship between mental health and satisfaction with these tools.
  • Combines qualitative and quantitative research methods to uncover diverse mental health management needs and behaviors within stratified subgroups.

• Implementation Steps:

  • Use an anonymous online survey method, recruit participants via Qualtrics, and apply rigorous screening for high-quality data.
  • Survey content includes mental health status (e.g., GAD-7 for anxiety, EPDS for postpartum depression), technology usage patterns, satisfaction levels, and open-ended questions (e.g., strategies for coping with mental health stress).
  • Data analysis involves statistical methods (e.g., one-way ANOVA) and qualitative coding (thematic analysis of open-ended responses) to ensure multi-layered interpretation of results.

Research Findings

• Specific Results:

  • Over 88% of respondents used at least one digital resource to manage their mental health. The most commonly used tools included social media (52.5%), apps (49.5%), self-tracking devices (32.7%), and video calls (31.7%).
  • Usage frequency and satisfaction varied by income, education level, and pregnancy status. For example, women with higher income and education levels used apps and self-tracking devices more frequently, while pregnant women used video calls more often.
  • Relationships with mental health status (e.g., levels of anxiety and depression) were also observed. For instance, individuals with higher psychological stress were more likely to use social media.
  • Qualitative analysis revealed that participants relied more on non-traditional therapies (e.g., self-care, music, religious practices, and social support) and less on formal mental health services.

• Advantages Over Existing Solutions:

  • Provides cross-analysis and qualitative insights into the use of digital mental health support among Black perinatal women, breaking away from the traditional "one-size-fits-all" health intervention framework.
  • Highlights the complexity of cultural and social factors and the specific needs of different subgroups, offering a foundation for future tool design.

• Experimental or Evaluation Results:

  • Satisfaction with self-tracking tools and apps was significantly influenced by education and income levels.
  • Pregnant women rated video calls highly, while postpartum women expressed greater satisfaction with telehealth tools.
  • Women with higher adherence to the "Superwoman Schema" showed more positive attitudes toward teleconferencing and self-management tools.

• Limitations and Future Directions:

  • The small sample size limits the generalizability of findings to the broader population.
  • Lack of detailed examination of low socioeconomic status women's accessibility to digital platforms and support needs.
  • Recommendations for future research:
    • Expand analysis to include diverse subgroups (e.g., multiple racial identities, immigrant backgrounds).
    • Enhance human-centered research methods to deeply explore Black women's actual mental health expectations and resource ecosystem design.
    • Investigate how technology can effectively integrate holistic and medical approaches to achieve personalized intervention designs.

Contributions

• By providing new insights into Black women's use of digital mental health platforms, this study expands the understanding and support for marginalized and diverse populations within the field of digital health.