Posted: Jun 15, 2022
Maternal mortality remains a significant global health challenge despite decades of intervention efforts and technological advancements in healthcare. The persistent disparities in maternal outcomes across different populations and geographical regions underscore the complex, multifactorial nature of this public health issue. Traditional approaches to reducing maternal mortality have primarily focused on clinical interventions, hospital-based care, and medical technology improvements. However, these approaches often fail to address the crucial community-level factors that significantly influence maternal health outcomes. Community health nursing interventions represent a promising alternative or complementary approach that operates at the intersection of clinical care and community engagement, yet their effectiveness remains inadequately understood through conventional evaluation methodologies. This research introduces an innovative computational framework that reimagines how we evaluate and optimize community health nursing interventions for maternal mortality reduction.
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