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Process Evaluation and Lessons Learned From Engaging Local Policymakers in the B’More Healthy Communities for Kids Trial

机译:在B’更健康的儿童社区试用过程中吸引当地决策者的过程评估和经验教训

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摘要

Partnerships linking researchers to the policymaking process can be effective in increasing communication and supporting health policy. However, these policy partnerships rarely conduct process evaluation. The Policy Working Group (Policy WG) was the policy-level intervention of the multilevel B’More Healthy Communities for Kids (BHCK) trial. The group sought to align interests of local policymakers, inform local food and nutrition policy, introduce policymakers to a new simulation modeling, and sustain intervention levels of BHCK. We conducted an evaluation on the Policy WG between July 2013 and May 2016. We evaluated process indicators for reach, dose-delivered, and fidelity and developed a SWOT (strengths, weaknesses, opportunities, and threats) analysis. The policy intervention was implemented with high reach and dose-delivered. Fidelity measures improved from moderate to nearly high over time. The number of health-related issues on policymakers’ agenda increased from 50% in the first 2 years to 150% of the high standard in Year 3. SWOT analysis integrated a stakeholder feedback survey to consider areas of strength, weakness, opportunity, and threats. Although the fidelity of the modeling was low at 37% of the high standard, stakeholders indicated that the simulation modeling should be a primary purpose for policy intervention. Results demonstrate that process evaluation and SWOT analysis is useful for tracking the progress of policy interventions in multilevel trials and can be used to monitor the progress of building partnerships with policymakers.
机译:将研究人员与决策过程联系起来的伙伴关系可以有效地增进交流并支持卫生政策。但是,这些政策伙伴关系很少进行过程评估。政策工作组(政策工作组)是多层次B’儿童健康社区(BHCK)试验的政策级干预措施。该小组试图协调当地决策者的利益,为当地食品和营养政策提供信息,向决策者介绍新的模拟模型,并维持BHCK的干预水平。我们在2013年7月至2016年5月期间对Policy WG进行了评估。我们评估了范围指标,给药剂量和保真度的过程指标,并开发了SWOT(优势,劣势,机会和威胁)分析。该政策干预措施的实施具有很高的影响力,并能提供一定剂量。随着时间的推移,保真度从中等提高到近乎高。决策者议程上与健康相关的问题数量从前两年的50%增加到了第三年的高标准的150%。SWOT分析整合了利益相关者反馈调查,以考虑优势,劣势,机会和威胁领域。尽管建模的保真度很低,仅为高标准的37%,但是利益相关者表示,仿真建模应该是政策干预的主要目的。结果表明,过程评估和SWOT分析可用于跟踪多级试验中政策干预的进度,并可用于监视与决策者建立合作伙伴关系的进度。

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