New York University School of Global Public Health, New York City, USA.
Drexel University Dornsife School of Public Health, Philadelphia, USA.
Implement Sci. 2022 Jun 22;17(1):38. doi: 10.1186/s13012-022-01214-7.
State legislators make policy decisions that influence children's exposure to adverse childhood experiences (ACEs), such as child maltreatment, and their effects on behavioral health. Effective dissemination of scientific research can increase the likelihood that legislators' decisions are aligned with evidence to prevent ACEs and their consequences, and effective dissemination requires legislators to engage with dissemination materials. Informed by the elaboration likelihood model of persuasive communication and Brownson's Model of Dissemination Research, we tested the hypothesis that inclusion of economic evidence and local data would increase legislator engagement with dissemination materials about evidence-supported policies related to ACEs and behavioral health.
A three-arm randomized dissemination trial was conducted. A university researcher e-mailed dissemination materials which contained evidence about ACEs and behavioral health problems to state legislators (two e-mails sent 2 weeks apart, 12,662 e-mails delivered to 6509 legislators). The e-mail subject lines, text, and policy brief content were manipulated across the study arms. The intervention condition received state-tailored data about rates of ACEs and state-tailored economic evidence about the costs of ACEs for public systems, the enhanced control condition received state-tailored data and not economic evidence, and the control condition received national data and not economic evidence. Outcomes were rates of e-mail views, policy brief link clicks, requests for researcher consultation, and mentions of child maltreatment terms in legislators' social media posts.
For the first e-mail, the e-mail view rate was 42.6% higher in the intervention than in the enhanced control condition (22.8% vs. 14.8%) and 20.8% higher than in the control condition (22.8% vs. 18.5%) (both p < .0001). Similar results were observed for the second e-mail. These differences remained significant after adjustment for demographic differences across study conditions in individual-level models, but not multilevel models. There was a significant interaction between the experimental condition and political party (p < .0001) in which the intervention increased e-mail view rates among Democrats but not Republicans. The intervention had no effect on policy brief link clicks or requests for consultation and a mixed effect on social media posts.
Inclusion of state-tailored economic evidence in dissemination materials can increase engagement with research evidence among Democrat, but not Republican, legislators. Dissemination strategies tailored for legislators' political party affiliation may be needed.
州立法者制定的政策决策会影响儿童接触不良童年经历(ACEs)的情况,例如儿童虐待,以及这些经历对他们行为健康的影响。有效的科学研究传播可以增加立法者的决策与预防 ACEs 及其后果的证据相一致的可能性,而有效的传播需要立法者参与传播材料。本研究以说服性沟通的详尽可能性模型和 Brownson 的传播研究模型为指导,检验了以下假设,即纳入经济证据和本地数据将增加立法者对传播有关 ACEs 和行为健康的循证政策的材料的参与度。
进行了一项三臂随机传播试验。一位大学研究人员通过电子邮件向州立法者发送了包含 ACEs 和行为健康问题相关证据的传播材料(两周内发送了两封电子邮件,向 6509 名立法者发送了 12662 封电子邮件)。研究臂之间对电子邮件主题行、文本和政策简报内容进行了操控。干预条件收到了有关 ACEs 发生率和 ACEs 对公共系统成本的州特定经济证据,增强控制条件收到了州特定数据但没有经济证据,控制条件收到了国家数据但没有经济证据。结果是电子邮件查看率、政策简报链接点击率、研究人员咨询请求率以及立法者在社交媒体帖子中提到儿童虐待术语的频率。
对于第一封电子邮件,干预组的电子邮件查看率比增强控制组高 42.6%(22.8%比 14.8%),比对照组高 20.8%(22.8%比 18.5%)(均<0.0001)。第二封电子邮件也观察到了类似的结果。在个体水平模型中,根据研究条件下的人口统计学差异进行调整后,这些差异仍然显著,但在多层模型中则不然。在实验条件和政党之间存在显著的交互作用(p<0.0001),干预措施增加了民主党的电子邮件查看率,但对共和党的没有影响。干预措施对政策简报链接点击率或咨询请求没有影响,对社交媒体帖子的影响则不一致。
在传播材料中纳入州特定的经济证据可以增加民主党立法者对研究证据的参与度,但对共和党立法者没有影响。可能需要针对立法者的政党隶属关系量身定制传播策略。