RFA-CE20-001 Evaluation of the Close to Home Program in California: Assessing the impact of community mobilization to prevent sexual violence at the individual, social network, and community levels

RFA-CE20-001 加州近距离计划评估：评估社区动员对个人、社交网络和社区层面预防性暴力的影响

• 批准号: 10874359
• 负责人: Jay G Silverman
• 金额: $ 56.25万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-30 至 2025-09-29
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10874359
• 关键词: RFA; CE20; 001; Evaluation; Close

PROJECT ABSTRACT Two approaches promoted in the current RFP and the CDC’s STOP SV Strategies guidance are 1) Promoting Social Norms that Protect Against Violence, and 2) Creating Protective Environments. The current proposal to evaluate Close to Home (C2H), a community mobilization SV prevention model, incorporates both approaches within a rigorous and innovative research design. Community mobilization to prevent SV, including the C2H model, is designed to create deep social norms change and enhance protective community environments, yet has rarely been evaluated. We propose to rigorously evaluate the C2H model via a cluster-matched control trial across 14 diverse communities in California via collection and analyses of social network, social media and community-wide school-based data in order to provide much-needed evidence on the effectiveness of this community-level approach to prevent SV. California is uniquely poised to conduct this research given a) the number of communities implementing C2H, b) CDPH’s 10-year commitment to building capacity to support local implementation of this model, and c) CDPH’s ongoing partnership on RPE evaluation with University of California San Diego’s Center on Gender Equity and Health, a center with the highest levels of expertise in evaluation of sexual violence prevention programs, social network science, and assessing norms across social networks and social media. We propose a highly-innovative, multi-level evaluation of C2H involving the following aims: 1) Develop and implement a cluster-matched control design in partnership with the Research Advisory Board, including collecting baseline social network and social media data across 14 diverse California communities; 2) Evaluate effects of the C2H model on social norms and community connectivity regarding SV, and SV incidence via longitudinal analyses of baseline and 24-month follow-up social network data; and 3) Extend Aim 2 findings via analyses of community-level effects on SV social norms and behavior based on multiple waves of community-level school-based data and geocoded social media data. The proposed research will fill a critical evidence gap in SV prevention by evaluating effects of C2H, a promising community mobilization SV prevention model, on community-level social norms, community connectivity (a key element of protective environments), and SV incidence in accordance with CDC’s STOP SV guidance. Proposed longitudinal social network analyses will also provide the first evidence regarding diffusion of changes in SV social norms and behaviors. These contributions will accelerate prevention of sexual violence by equipping local, state and national stakeholders with the rigorous and generalizable evidence needed to inform implementation of community-level sexual violence prevention programming.

项目摘要 当前RFP和CDC的STOP SV策略指南中推荐的两种方法是1） 促进防止暴力的社会规范; 2）创造保护性环境。当前 一项评估社区动员SV预防模式“离家近”（C2 H）的提案， 在严格和创新的研究设计方法。动员社区预防SV，包括 C2 H模式旨在创造深刻的社会规范变革，加强保护性社区 环境，但很少被评估。我们建议通过聚类匹配来严格评估C2 H模型。 通过收集和分析加州14个不同社区的社交网络、社交媒体和 社区范围内的学校数据，以便提供急需的证据，证明这一社区一级的有效性。 预防SV的方法。加州是唯一准备进行这项研究鉴于a）社区的数量 实施C2 H，B）CDPH的10年承诺，以建设能力，支持地方实施 该模型，以及c）CDPH与加州圣地亚哥大学正在进行的RPE评估合作伙伴关系 性别平等和健康中心，在评估性暴力方面拥有最高水平的专业知识 预防计划，社会网络科学，以及评估社交网络和社会媒体的规范。我们 提出一个高度创新的，多层次的C2 H评估，涉及以下目标：1）开发和 与研究咨询委员会合作实施集群匹配控制设计，包括 在14个不同的加州社区收集基线社交网络和社交媒体数据; 2） 评估C2 H模型对社会规范和社区连通性的影响，以及SV 通过基线和24个月随访社交网络数据的纵向分析确定发病率;以及3）扩展 目的2通过分析社区层面对SV社会规范和行为的影响， 社区一级的学校数据和地理编码的社交媒体数据。该研究将填补 通过评估C2 H（一种有前途的社区动员SV）的影响，在SV预防方面存在关键证据缺口 预防模式，社区一级的社会规范，社区连通性（保护性的一个关键因素）， 环境），以及根据CDC的STOP SV指南的SV发病率。拟议的纵向社会 网络分析还将提供关于SV社会规范变化扩散的第一个证据， 行为。这些捐款将通过为地方、州和国家提供装备， 为利益攸关方提供所需的严格和可推广的证据，为实施社区一级的 暴力预防方案。