Strategic partnerships to improve surgical care in the Asia–Pacific region: proceedings

BMC proceedings(2023)

引用 0|浏览9
暂无评分
摘要
Emergency and essential surgery is a critical component of universal health coverage. Session three of the three-part virtual meeting series on Strategic Planning to Improve Surgical, Obstetric, Anaesthesia, and Trauma Care in the Asia–Pacific Region focused on strategic partnerships. During this session, a range of partner organisations, including intergovernmental organisations, professional associations, academic and research institutions, non-governmental organisations, and the private sector provided an update on their work in surgical system strengthening in the Asia–Pacific region. Partner organisations could provide technical and implementation support for National Surgical, Obstetric, and Anaesthesia Planning (NSOAP) in a number of areas, including workforce strengthening, capacity building, guideline development, monitoring and evaluation, and service delivery. Participants emphasised the importance of several forms of strategic collaboration: 1) collaboration across the spectrum of care between emergency, critical, and surgical care, which share many common underlying health system requirements; 2) interprofessional collaboration between surgery, obstetrics, anaesthesia, diagnostics, nursing, midwifery among other professions; 3) regional collaboration, particularly between Pacific Island Countries, and 4) South-South collaboration between low- and middle-income countries (LMICs) in mutual knowledge sharing. Partnerships between high-income countries (HIC) and LMIC organisations must include LMIC participants at a governance level for shared decision-making. Areas for joint action that emerged in the discussion included coordinated advocacy efforts to generate political view, developing common monitoring and evaluation frameworks, and utilising remote technology for workforce development and service delivery.
更多
查看译文
关键词
surgical care,strategic partnerships,asia–pacific region
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要