National Institutes of Health. PAR-19-274. https://grants.nih.gov/grants/guide/pa-files/PAR-19-274.html, Accessed 1 Nov 2021.
Purtle J, Marzalik JS, Halfond RW, Bufka LF, Teachman BA, Aarons GA. Toward the data-driven dissemination of findings from psychological science. Am Psychol. 2020;75(8):1052.
Brownson RC, Eyler AA, Harris JK, Moore JB, Tabak RG. Getting the word out. J Public Health Manag Pract. 2018;24(2):102–11.
Purtle J, Peters R, Brownson RC. A review of policy dissemination and implementation research funded by the National Institutes of Health, 2007–2014. Implement Sci. 2015;11(1):1–8.
Hoagwood KE, Purtle J, Spandorfer J, Peth-Pierce R, Horwitz SM. Aligning dissemination and implementation science with health policies to improve children’s mental health. Am Psychol. 2020;75(8):1130.
Emmons KM, Chambers DA. Policy implementation science–an unexplored strategy to address social determinants of health. Ethn Dis. 2021;31(1):133.
Ashcraft LE, Quinn DA, Brownson RC. Strategies for effective dissemination of research to United States policymakers: a systematic review. Implement Sci. 2020;15(1):1–17.
Petkovic J, Welch V, Jacob MH, et al. The effectiveness of evidence summaries on health policymakers and health system managers use of evidence from systematic reviews: a systematic review. Implement Sci. 2016;11(1):1–14.
Crowley DM, Scott JT, Long EC, et al. Lawmakers’ use of scientific evidence can be improved. Proc Natl Acad Sci. 2021;118(9):e2012955118.
Williamson A, Barker D, Green S, et al. Increasing the capacity of policy agencies to use research findings: a stepped-wedge trial. Health Res Policy Syst. 2019;17(1):1–16.
Purtle J, Nelson KL, Bruns EJ, Hoagwood KE. Dissemination strategies to accelerate the policy impact of children’s mental health services research. Psychiatr Serv. 2020;71(11):1170–8.
Purtle J, Dodson EA, Brownson RC. Uses of research evidence by State legislators who prioritize behavioral health issues. Psychiatr Serv. 2016;67(12):1355–61.
Purtle J, Dodson EA, Nelson K, Meisel ZF, Brownson RC. Legislators’ sources of behavioral health research and preferences for dissemination: variations by political party. Psychiatr Serv. 2018;69(10):1105–8. https://doi.org/10.1176/appi.ps.201800153.
Purtle J, Lê-Scherban F, Wang X, Brown E, Chilton M. State legislators’ opinions about adverse childhood experiences as risk factors for adult behavioral health conditions. Psychiatr Serv. 2019;70(10):894–900.
Purtle J, Lê-Scherban F, Wang X, Shattuck PT, Proctor EK, Brownson RC. Audience segmentation to disseminate behavioral health evidence to legislators: an empirical clustering analysis. Implement Sci. 2018;13(1):121.
Purtle J, Lê-Scherban F, Wang X, Shattuck PT, Proctor EK, Brownson RC. State legislators’ support for behavioral health parity laws: the influence of mutable and fixed factors at multiple levels. Milbank Q. 2019;97(4):1200–32.
Meisel ZF, Mitchell J, Polsky D, et al. Strengthening partnerships between substance use researchers and policy makers to take advantage of a window of opportunity. Subst Abuse Treat Prev Policy. 2019;14(1):12.
Srivastav A, Spencer M, Thrasher JF, Strompolis M, Crouch E, Davis RE. Addressing health and well-being through state policy: understanding barriers and opportunities for policy-making to prevent adverse childhood experiences (ACEs) in South Carolina. Am J Health Promot. 2020;34(2):189–97.
Ellis WR, Dietz WH. A new framework for addressing adverse childhood and community experiences: the building community resilience model. Acad Pediatr. 2017;17(7):S86–93.
Wade R, Shea JA, Rubin D, Wood J. Adverse childhood experiences of low-income urban youth. Pediatrics. 2014;134(1):e13–20.
McEwen CA, Gregerson SF. A critical assessment of the adverse childhood experiences study at 20 years. Am J Prev Med. 2019;56(6):790–4.
Felitti VJ, Anda RF, Nordenberg D, et al. Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: the Adverse Childhood Experiences (ACE) Study. Am J Prev Med. 1998;14(4):245–58.
Hughes K, Bellis MA, Hardcastle KA, et al. The effect of multiple adverse childhood experiences on health: a systematic review and meta-analysis. Lancet Public Health. 2017;2(8):e356–66.
Afifi TO, Enns MW, Cox BJ, Asmundson GJ, Stein MB, Sareen J. Population attributable fractions of psychiatric disorders and suicide ideation and attempts associated with adverse childhood experiences. Am J Public Health. 2008;98(5):946–52.
Merrick MT, Ford DC, Ports KA, Guinn AS. Prevalence of adverse childhood experiences from the 2011-2014 Behavioral Risk Factor Surveillance System in 23 states. JAMA Pediatr. 2018;172(11):1038–44.
Shonkoff JP, Bales SN. Science does not speak for itself: translating child development research for the public and its policymakers. Child Dev. 2011;82(1):17–32.
Bethell CD, Solloway MR, Guinosso S, et al. Prioritizing possibilities for child and family health: an agenda to address adverse childhood experiences and foster the social and emotional roots of well-being in pediatrics. Acad Pediatr. 2017;17(7):S36–50.
Shern DL, Blanch AK, Steverman SM. Toxic stress, behavioral health, and the next major era in public health. Am J Orthop. 2016;86(2):109.
National Conference of State Legislatures. Preventing and mitigating the effects of adverse childhood experiences. 2018. http://www.ncsl.org/Portals/1/HTML_LargeReports/ACEs_2018_32691.pdf. Accessed 1 Nov 2021.
Bradford K. Reducing the effects of adverse childhood experiences: National Conference of State Legislatures; 2020. https://www.ncsl.org/research/health/reducing-the-effects-of-adverse-childhood-experiences.aspx. Accessed 1 Nov 2021
Centers for Disease Control and Prevention Preventing Adverse Childhood Experiences (ACEs): Leveraging the best available evidence. 2019. https://www.cdc.gov/violenceprevention/pdf/preventingACES.pdf. Accessed 1 Nov 2021.
Raissian KM, Bullinger LR. Money matters: does the minimum wage affect child maltreatment rates? Child Youth Serv Rev. 2017;72:60–70.
Klevens J, Schmidt B, Luo F, Xu L, Ports KA, Lee RD. Effect of the earned income tax credit on hospital admissions for pediatric abusive head trauma, 1995-2013. Public Health Rep. 2017;132(4):505–11.
Walsh D, McCartney G, Smith M, Armour G. Relationship between childhood socioeconomic position and adverse childhood experiences (ACEs): a systematic review. J Epidemiol Community Health. 2019;73(12):1087–93.
MacMillan HL, Wathen CN, Barlow J, Fergusson DM, Leventhal JM, Taussig HN. Interventions to prevent child maltreatment and associated impairment. Lancet. 2009;373(9659):250–66.
Miller TR. Projected outcomes of nurse-family partnership home visitation during 1996–2013, USA. Prev Sci. 2015;16(6):765–77.
Garner AS, Shonkoff JP, Siegel BS, et al. Early childhood adversity, toxic stress, and the role of the pediatrician: translating developmental science into lifelong health. Pediatrics. 2012;129(1):e224–31.
Crowley DM, Connell CM, Noll J, Green L, Scott T, Giray C. Legislating to prevent adverse childhood experiences: growth and opportunities for evidence-based policymaking and prevention. Prev Sci. 2022;23(2):181-91. https://doi.org/10.1007/s11121-021-01292-x.
Purtle J, Nelson KL, Gollust SE. Public opinion about adverse childhood experiences: social stigma, attribution of blame, and government intervention. Child Maltreat. 2021:10775595211004783. https://doi.org/10.1177/10775595211004783.
Peterson C, Florence C, Klevens J. The economic burden of child maltreatment in the United States, 2015. Child Abuse Negl. 2018;86:178–83.
Purtle J, Nelson KL, Srivastav A, Gollust SE. Perceived persuasiveness of evidence about adverse childhood experiences: Results from a national survey. Academic pediatrics. 2021;21(3):529-33.
Gollust SE, Nelson KL, Purtle J. Selecting evidence to frame the consequences of adverse childhood experiences: testing effects on public support for policy action, multi-sector responsibility, and stigma. Prev Med. 2022;154:106912.
Brownson RC, Eyler AA, Harris JK, Moore JB, Tabak RG. Research full report: getting the word out: new approaches for disseminating public health science. J Public Health Manag Pract. 2018;24(2):102.
Oliver K, Innvar S, Lorenc T, Woodman J, Thomas J. A systematic review of barriers to and facilitators of the use of evidence by policymakers. BMC Health Serv Res. 2014;14(1):1–12.
Oliver K, Innvar S, Lorenc T, Woodman J, Thomas J. Barriers and facilitators of the use of evidence by policy makers: an updated systematic review. BMC Health Serv Res. 2014;14(2);1-12.
Long B, Scott T, Anderson A, Pugel J, Crowley M. Getting science into the hands of state and federal lawmakers: lessons learned in messaging. In: APHA’s 2020 VIRTUAL Annual Meeting and Expo (Oct. 24-28). Washington: American Public Health Association; 2020.
Fernandes M, Long E, Pugel J, et al. Rapport building communications for optimizing science dissemination. In: Paper presented at: SPR Virtual 29th Annual Meeting; 2021.
Long EC, Pugel J, Scott JT, et al. Rapid-cycle experimentation with state and federal policymakers for optimizing the reach of racial equity research. Am J Public Health. 2021;111(10):1768-71. https://doi.org/10.2105/AJPH.2021.306404.
Levine AS. Single conversations expand practitioners’ use of research: evidence from a field experiment. PS: Polit Sci Polit. 2021;54(3):432-7.
Levine AS. Why do practitioners want to connect with researchers? Evidence from a field experiment. PS. Polit Sci Polit. 2020;53(4):712–7.
Niederdeppe J, Winett LB, Xu Y, Fowler EF, Gollust SE. Evidence-based message strategies to increase public support for state investment in early childhood education: results from a longitudinal panel experiment. Milbank Q. 2021;99(4):1088–131.
Niederdeppe J, Roh S, Dreisbach C. How narrative focus and a statistical map shape health policy support among state legislators. Health Commun. 2016;31(2):242–55.
Winett LB, Niederdeppe J, Xu Y, Gollust SE, Fowler EF. When “Tried and True” advocacy strategies backfire: narrative messages can undermine state legislator support for early childcare policies. J Public Interest Commun. 2021;5(1):45.
Shor B, Thurber JA, Yoshinaka A. Polarization in American state legislatures. In: American gridlock: the sources, character, and impact of political polarization; 2015. p. 203–21.
Iyengar S, Lelkes Y, Levendusky M, Malhotra N, Westwood SJ. The origins and consequences of affective polarization in the United States. Annu Rev Polit Sci. 2019;22:129–46.
Fowler EF, Baum LM, Barry CL, Niederdeppe J, Gollust SE. Media messages and perceptions of the Affordable Care Act during the early phase of implementation. J Health Polit Policy Law. 2017;42(1):167–95.
Gollust SE, Barry CL, Niederdeppe J. Partisan responses to public health messages: motivated reasoning and sugary drink taxes. J Health Polit Policy Law. 2017;42(6):1005–37.
Pugel J, Long EC, Fernandes MA, et al. Who is listening? Profiles of policymaker engagement with scientific communication. Policy Internet. 2022;14(1):186–201.
Meisel ZF, Metlay JP, Sinnenberg L, et al. A randomized trial testing the effect of narrative vignettes versus guideline summaries on provider response to a professional organization clinical policy for safe opioid prescribing. Ann Emerg Med. 2016;68(6):719–28.
Calfano B. Power lines: unobtrusive assessment of e-mail subject line impact on organization website use. J Political Mark. 2019;18(3):179–95.
Sahni NS, Wheeler SC, Chintagunta P. Personalization in email marketing: the role of noninformative advertising content. Mark Sci. 2018;37(2):236–58.
Petty RE, Cacioppo JT. The elaboration likelihood model of persuasion. In: Communication and persuasion. New York: Springer; 1986. p. 1–24.
Petty RE, Cacioppo JT. Attitudes and persuasion: classic and contemporary approaches. Boulder: Westview Press; 1996.
Petty RE, Haugtvedt CP, Smith SM. Elaboration as a determinant of attitude strength: creating attitudes that are persistent, resistant, and predictive of behavior. Attitude Strength: Antecedents and consequences. 1995;4:93-130.
Liang L, Bernhardsson S, Vernooij RW, et al. Use of theory to plan or evaluate guideline implementation among physicians: a scoping review. Implement Sci. 2017;12(1):26.
Vogt F, Hall S, Hankins M, Marteau TM. Evaluating three theory-based interventions to increase physicians’ recommendations of smoking cessation services. Health Psychol. 2009;28(2):174.
Taber CS, Lodge M. Motivated skepticism in the evaluation of political beliefs. Am J Polit Sci. 2006;50(3):755–69.
Lee JJ. Party polarization and trust in science: what about democrats? Socius. 2021;7:23780231211010101.
Cochran WG. Sampling techniques. New York: Wiley; 1977.
Dijkstra A. The psychology of tailoring-ingredients in computer-tailored persuasion. Soc Personal Psychol Compass. 2008;2(2):765–84.
Dobbins M, Rosenbaum P, Plews N, Law M, Fysh A. Information transfer: what do decision makers want and need from researchers? Implement Sci. 2007;2(1):1–12.
Mitton C, Adair CE, McKenzie E, Patten SB, Perry BW. Knowledge transfer and exchange: review and synthesis of the literature. Milbank Q. 2007;85(4):729–68.
Merrick MT, Ford DC, Ports KA, et al. Vital signs: estimated proportion of adult health problems attributable to adverse childhood experiences and implications for prevention—25 states, 2015–2017. Morb Mortal Wkly Rep. 2019;68(44):999.
Bethell C, Jones J, Gombojav N, Linkenbach J, Sege R. Positive childhood experiences and adult mental and relational health in a statewide sample: associations across adverse childhood experiences levels. JAMA Pediatr. 2019;173(11):e193007.
Bryant DJ, Oo M, Damian AJ. The rise of adverse childhood experiences during the COVID-19 pandemic. Psychol Trauma Theory Res Pract Policy. 2020;12(S1):S193.
Cuartas J. Heightened risk of child maltreatment amid the COVID-19 pandemic can exacerbate mental health problems for the next generation. Psychol Trauma Theory Res Pract Policy. 2020;12(S1):S195.
Holland KM, Jones C, Vivolo-Kantor AM, et al. Trends in US emergency department visits for mental health, overdose, and violence outcomes before and during the CoViD-19 pandemic. JAMA Psychiatry. 2021;78(4):372–9.
Gollust SE, Seymour JW, Pany MJ, Goss A, Meisel ZF, Grande D. Mutual distrust: perspectives from researchers and policy makers on the research to policy gap in 2013 and recommendations for the future. Inquiry. 2017;54:0046958017705465.
Liu-Thompkins Y. A decade of online advertising research: what we learned and what we need to know. J Advert. 2019;48(1):1–13.
U.S. Department of Health & Human Services, Administration for Children and Families, Administration on Children, Youth and Families, Children’s Bureau. (2019). Child maltreatment 2017. https://www.acf.hhs.gov/sites/default/files/documents/cb/cm2017.pdf. Accessed 1 Nov 2021.
Engel-Rebitzer E, Stokes DC, Buttenheim A, Purtle J, Meisel ZF. Changes in legislator vaccine-engagement on Twitter before and after the arrival of the COVID-19 pandemic. Hum Vaccin Immunother. 2021;17(9):2868-72. https://doi.org/10.1080/21645515.2021.1911216.
Guntuku SC, Purtle J, Meisel ZF, Merchant RM, Agarwal A. Partisan differences in Twitter language among US legislators during the COVID-19 pandemic: cross-sectional study. J Med Internet Res. 2021;23(6):e27300.
Stokes DC, Purtle J, Meisel ZF, Agarwal AK. State legislators’ divergent social media response to the opioid epidemic from 2014 to 2019: longitudinal topic modeling analysis. J Gen Intern Med. 2021;36(11):3373-82. https://doi.org/10.1007/s11606-021-06678-9.
Mutz DC, Pemantle R, Pham P. The perils of balance testing in experimental design: messy analyses of clean data. Am Stat. 2019;73(1):32–42.
De Boer MR, Waterlander WE, Kuijper LD, Steenhuis IH, Twisk JW. Testing for baseline differences in randomized controlled trials: an unhealthy research behavior that is hard to eradicate. Int J Behav Nutr Phys Act. 2015;12(1):1–8.
Turner EL, Prague M, Gallis JA, Li F, Murray DM. Review of recent methodological developments in group-randomized trials: part 2—analysis. Am J Public Health. 2017;107(7):1078–86.
Snijders TA, Bosker RJ. Multilevel analysis: an introduction to basic and advanced multilevel modeling. Thousand Oaks: Sage; 2011.
Brownson RC, Dodson EA, Stamatakis KA, et al. Communicating evidence-based information on cancer prevention to state-level policy makers. J Natl Cancer Inst. 2011;103(4):306–16.
Lyons RA, Kendrick D, Towner EM, et al. The advocacy for pedestrian safety study: cluster randomised trial evaluating a political advocacy approach to reduce pedestrian injuries in deprived communities. PLoS One. 2013;8(4):e60158.
Armstrong BG. Effect of measurement error on epidemiological studies of environmental and occupational exposures. Occup Environ Med. 1998;55(10):651–6.