Jared D. Huling is with the University of Minnesota School of Public Health, Minneapolis. Robin R. Austin and Karen A. Monsen are with the University of Minnesota School of Nursing. Sheng-Chieh Lu is with the Department of Symptom Research, University of Texas MD Anderson Cancer Center, Houston. Mary M. Doran and Vicki J. Swarr are with the Tri-County Health Department, Westminster, CO. Karen A. Monsen is also a Guest Editor for this special issue.
Am J Public Health. 2022 Jun;112(S3):S306-S313. doi: 10.2105/AJPH.2022.306792.
To examine public health nurse (PHN) intervention tailoring through the Colorado Nurse Support Program (NSP). Our 2 specific aims were to describe the NSP program and its outcomes and to determine the effects of modifying interventions on short- and long-term outcomes among NSP clients. In our retrospective causal investigation of 150 families in Colorado in 2018-2019, intervention effects were modeled via longitudinal modified treatment policy analyses. Families served by PHNs improved in terms of knowledge, behavior, and status outcomes after receiving multidimensional, tailored home visiting interventions. Case management interventions provided in the first month of PHN home visits had lasting effects on behavior outcomes, and 2 additional case management interventions in the first month were estimated to have even more of an impact. Modern causal inference methods and real-world PHN data revealed a nuanced, fine-grained understanding of the real impact of tailored PHN interventions. PHN programs such as the NSP and use of the Omaha System should be supported and extended to advance evaluations of intervention effectiveness and knowledge discovery and improve population health. (. 2022;112(S3):S306-S313. https://doi.org/10.2105/AJPH.2022.306792).
研究科罗拉多护士支持计划（NSP）中的公共卫生护士（PHN）干预措施的定制化。我们的两个具体目标是描述 NSP 计划及其结果，并确定修改干预措施对 NSP 客户短期和长期结果的影响。在我们对 2018-2019 年科罗拉多州的 150 个家庭进行的回顾性因果调查中，通过纵向修改后的治疗政策分析对干预效果进行建模。接受多维、定制家庭访问干预的家庭在知识、行为和状况结果方面有所改善。PHN 家访第一个月提供的病例管理干预对行为结果有持久影响，而第一个月额外的 2 次病例管理干预预计会产生更大的影响。现代因果推理方法和真实世界的 PHN 数据揭示了对定制 PHN 干预实际影响的细致、细致的理解。应支持和扩展 NSP 等 PHN 计划和奥马哈系统的使用，以推进干预效果和知识发现的评估，并改善人口健康。（. 2022;112(S3):S306-S313. https://doi.org/10.2105/AJPH.2022.306792）。
