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Development and evaluation of an online infertility peer supporter training program
Paul H Grunberg1, Cindy-Lee Dennis2, Deborah Da Costa3
1Department of Psychology, McGill University, 2001 McGill College Avenue, Montreal, H3A 1G1, Canada; Department of Psychiatry, Jewish General Hospital, Montreal, 4333 Cote Ste. Catherine Road, H3T 1E4, Canada.
Developing an online infertility peer support training program is feasible and acceptable. This program effectively trained individuals to provide online support, demonstrating high satisfaction and comfort levels among peer supporters.
Area of Science:
- Reproductive Medicine
- Mental Health Support
- Digital Health Interventions
Background:
- Infertility affects a significant portion of the population, necessitating accessible support systems.
- Online platforms offer a scalable solution for delivering peer support to individuals undergoing fertility treatments.
- Existing peer support models require adaptation for effective online delivery and training.
Purpose of the Study:
- To develop and evaluate an online training program for infertility peer supporters.
- To assess the feasibility and acceptability of recruiting and training peer supporters remotely.
- To identify key components for successful online peer support interventions in infertility.
Main Methods:
- Recruitment of men and women with diverse infertility experiences.
- A multi-component training program including a manual, webinar, and practice questions.
- Evidence-based content reviewed by key stakeholders for accuracy and relevance.
Main Results:
- Seventeen women and one man were trained and provided online peer support.
- High program satisfaction reported by trainees.
- Peer supporters expressed comfort in providing support and appreciated the convenience of a mobile application.
Conclusions:
- Online recruitment and training of infertility peer supporters is feasible and acceptable.
- The developed program provides a foundation for future online peer support interventions.
- This approach offers valuable insights for developing and implementing digital mental health support services.
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