Defying the odds: Facilitating integration of abortion care into clinical practice in the United States☆,☆☆

Objectives: We sought to describe the experiences of physicians who successfully incorporated abortion care into their practices in the United States. We explored facilitators of and barriers to abortion provision. Study design: In this qualitative study, we conducted semistructured interviews with a national sample of obstetrician-gynecologists and family medicine physicians providing abortion care. Interviews addressed facilitators of and barriers to abortion provision, lessons learned and recommendations for future providers. We analyzed data using a content analysis approach. Results: We interviewed 14 obstetrician-gynecologists and 11 family medicine physicians providing abortion care as part of their practices. We identified four categories of facilitators and barriers: personal, community, training, and workplace factors. Major facilitators included supportive leadership and professional mentorship. Major barriers included antagonistic colleagues and leadership. Lessons learned included proactively assessing leadership support, identifying institutional allies, actively minimizing workplace conflict and being perceived as a team player. Recommended resources to increase abortion provision included clinical support, mentorship, funding, negotiation coaching, and access to clinical policies. Conclusions: Institutional leadership support emerged as a critical facilitator for initiating and continuing to offer abortion care. Efforts to expand abortion access should include investments in supportive leadership, both in academic and community practices. Implications: Maximizing abortion access is essential to counteract the legislative and political restrictions imposed on abortion care. Institutional support is a critical facilitator of abortion provision, and efforts to expand abortion access should include investments in supportive leadership and health care administration. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.