Patient and Public Involvement (PPI)

At Kuzaa, PPI played a key role in our research “Leveraging Artificial Intelligence for the Prediction, Diagnosis, and Treatment of Perinatal Depression and Anxiety among Women in Low- and Middle-Income Countries (LMICs).”

From start to finish, we prioritized community and stakeholder engagement. Our stakeholders represented a diverse range of disciplines and perspectives, including pregnant women and new mothers, health professionals, policy-makers, AI experts, traditional and religious leaders, NGOs, researchers, and household heads.

This inclusive process ensured that the voices of those directly affected were at the heart of our research, shaping solutions that truly meet their needs.

Given the Patient and Public Involvement (PPI) approach of the study, the research team chose to include Focus Group Discussions (FGDs) with ten (10) stakeholder groups related to maternal health: 

1) Perinatal Women – Currently Pregnant Women and Women in the first year Postpartum; 

2) New Mothers (Non-Pregnant Women who are not in the perinatal period with a live birth in the past five years); 

3) Health Professionals (Who work with Pregnant Women and/or Mothers); 

4) Policymakers (Representing Women-focused Government Agencies and Parastatals); 

5) Women-Focused Non-Governmental Organisations; 

6) Research Community (Maternal Health and AI Researchers from Post-Secondary Institutions and Research Institutes); 

7) AI Experts (Health-Focused AI-related Software Developers); 

8) Traditional/Community Leaders; 

9) Religious Leaders; and 

10) Male Household Heads.

Organized By

Kuzaa in partnership with APEC-Ghana

Funded By

MQ Mental Health Research.

Stakeholder Groups

10 Groups
6-7 Participants of each group

Facilitators

12 Facilitators
3 Males 9 Females

Date

30th July - 7th August, 2024

Venue

African University College of Communication (AUCC) & Ridge Hospital, Accra

Key Findings

    • The discussions revealed key themes in understanding and addressing perinatal depression and anxiety (PDA), covering the social, cultural, and systemic factors impacting maternal mental health.

 

    • Major causes of PDA included family pressures around the sex of the unborn child, physical appearance expectations from husbands, and family history of mental health issues. Support systems varied, with some women receiving spousal and financial assistance while others faced challenges in accessing adequate healthcare support.

 

      • Participants viewed AI as a potential tool for making informed health decisions but emphasized the need for trust and engagement in AI solution development. Insights also highlighted the importance of including husbands’ mental health in antenatal care, addressing cultural beliefs around PDA, and establishing a continuum of care from pregnancy through post-delivery.

     

    • Challenges in treating PDA included understaffing at healthcare facilities, reluctance of mothers to seek help, and insufficient infrastructure to support mental health services.

The competition aimed to raise awareness about perinatal mental health and encourage creativity among young people. We defined young people as those aged 18-29 years.

We had three categories, and participants were allowed to submit to a maximum of two of the categories:

  • Visual Arts (painting, drawing, photography)
  • Digital Arts (graphic design, digital illustration)
  • Multimedia (video and animation)

 

Judges: We had xx female judges made up of new mothers, health professionals, AI experts, researchers living in different countries across the world (UK, Hong Kong, Tanzania,…)

Organized By

Kuzaa in partnership with APEC-Ghana

Funded By

MQ Mental Health Research.

Date

1st - 31st July, 2024

Entries

76 Artworks

Winners

3 Winners
1 from each Category

Judges

8 Judges from
5 African Countries

Arts and Design Competition Data
Winner: Digital Arts Category
Winner: Visual Arts Category
Winner: Multimedia Arts Category

Testimonials

Testimonials

Transforming Maternal Mental Health: Harnessing Artificial Intelligence to Support Pregnant Women and New Mothers in Low- and Middle-Income Countries.

The workshop emphasized the gap in AI tools tailored to PDA, revealing that current AI solutions often overlook culturally relevant and ethical considerations specific to low- and middle-income countries. Through case studies, AI engagement activities, and panel discussions, participants explored the potential for localized solutions that prioritize PDA care, cultural responsiveness, and ethical use of AI. Feedback from the workshop has guided Kuzaa’s strategy for a follow-up webinar in October 2024, which aimed to deepen discussions on these critical issues and share additional findings with the global audience.

Organized By

Kuzaa in partnership with APEC-Ghana

Funded By

MQ Mental Health Research.

Date

15th August, 2024

Venue

Noguchi Memorial Institute, University of Ghana, Accra

Demographics

64 Females
44 Males

Panelists

  • Lived Experience Expert, Health Professional, Clinical Psychologists, Religious Leader, Community Leader, NGO lead and AI Expert.

Panel Takeaways

  • The community leader expressed interest in advocacy partnerships for maternal mental health.
  • The religious leader highlighted the need for support frameworks that acknowledge diverse cultural beliefs.
  • The healthcare professional noted barriers related to stigma and societal perceptions affecting open discussions on maternal mental health.

Unveiling the Hidden Struggles of Mothers: Harnessing Artificial Intelligence to Predict Perinatal Mental Health Conditions among Mothers in Developing Countries.

Maternal mental health challenges, such as perinatal depression and anxiety, disproportionately affect young mothers in developing countries, where access to mental health care is often limited. The application of Artificial Intelligence (AI) offers innovative ways to predict, diagnose and address these conditions early. AI applications in maternal mental health may require access to highly sensitive personal and medical information, such as mental health histories, pregnancy details, or perinatal experiences. Ensuring data security and maintaining privacy are critical.

This webinar sought to disseminate additional findings and engage practitioners in the discussion on the application of artificial intelligence and its ethical consideration in maternal mental health.

Objectives:

  • To share findings from the focus group discussions and the systematic review.
  • To highlight the potential of AI in predicting perinatal mental health conditions.
  • To foster discussions and engage stakeholders on improving maternal mental health in low- and middle-income countries.
 

Target Audience: Pregnant Women, Mothers, Fathers, Healthcare Professionals, Participants and Judges of the Kuzaa Arts and Design Competition, Mental Health Advocates, Researchers, NGOs, AI and Technology Experts, General Public.

Speakers: Mental Health Professionals, Maternal Healthcare Advocates, and AI Researchers and Software Developers.

Organized By

Kuzaa in partnership with APEC-Ghana

Funded By

MQ Mental Health Research

Date

24th October, 2024

Online

Zoom Live

Demographics

66 Females
36 Males

Speakers

3 Speakers
2 Males & 1 Female

Speaker Insights

Rev. Mrs. Charlotte Oduro

Preacher and Seasoned Marriage and Relationship Counselor

Dr. Jabhera Matogoro

Lecturer, Principal Investigator for the Artificial Intelligence for Mental Health Research Project

Dr. Blessing Ogbuokiri

Assistant Professor, Department of Computer Science, Brock University, Canada
Demographic Characteristics of Participants
What ethical considerations should be considered when integrating AI into maternal mental health care?
Have you attended similar events in-person or virtually in the past year related to Maternal Mental Health?
Learning Interests of Participants

Takeaways

  • Through case studies, AI engagement activities, and panel discussions, participants explored the potential for localized solutions that prioritize PDA care, cultural responsiveness, and ethical use of AI. Feedback from the workshop has guided Kuzaa’s strategy for a follow-up webinar in October 2024, which aims to deepen discussions on these critical issues and share further findings with a global audience.