Jonathan Purtle
Jonathan Purtle
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Associate Professor of Public Health Policy & Management
Director of Policy Research at NYU’s Global Center for Implementation Science
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Professional overview
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Jonathan Purtle is Associate Professor of Public Health Policy & Management and Director of Policy Research at NYU’s Global Center for Implementation Science.
Dr. Purtle is a mental health policy researcher and implementation scientist. His work examines questions such as how the implementation of policies “on the books” can be improved in practice, how research evidence can be most effectively communicated to policymakers and is used in policymaking processes, and how social and political contexts affect mental health policymaking and policy implementation. He is also studies population-based approaches to mental health and suicide prevention.
Dr. Purtle’s work has been consistently funded by the National Institute of Mental Health (NIMH) and Robert Wood Johnson Foundation (RWJF). He is currently leading/recently led NIMH-funded projects focused on the implementation of financing policies related to the 988 Suicide & Crisis Lifeline (R01MH131649) and policies that earmark taxes for mental health services (R21MH125261) and understanding the dynamics of research evidence in mental health policymaking (P50MH113662). He also recently completed a RWJF-funded project that experimentally tested different ways of communicating evidence about child maltreatment to the public and policymakers.
He has published over 150 peer-reviewed journal articles, is an Associate Editor at Implementation Science, and Co-Chairs the Policy Advisory Board at Psychiatric Services. He is Core Faculty of the NIMH-funded Implementation Research Institute, was Chair of the Policy Section of the AcademyHeath/NIH Dissemination and Implementation in Heath Conference from 2017 to 2022, was awarded the 2018 Champion of Evidence-Based Interventions Award from the Association for Behavioral and Cognitive Therapies for his work on evidence use in mental health policymaking.
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Education
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BA, Psychology, Roger Williams UniversityMSc, Sociology, Universiteit van AmsterdamMPH, Drexel UniversityDrPH, Drexel University
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Publications
Publications
Quantitative measures of health policy implementation determinants and outcomes: A systematic review
AbstractAllen, P., Pilar, M., Walsh-Bailey, C., Hooley, C., Mazzucca, S., Lewis, C. C., Mettert, K. D., Dorsey, C. N., Purtle, J., Kepper, M. M., Baumann, A. A., & Brownson, R. C. (n.d.).Publication year
2020Journal title
Implementation ScienceVolume
15Issue
1AbstractBackground: Public policy has tremendous impacts on population health. While policy development has been extensively studied, policy implementation research is newer and relies largely on qualitative methods. Quantitative measures are needed to disentangle differential impacts of policy implementation determinants (i.e., barriers and facilitators) and outcomes to ensure intended benefits are realized. Implementation outcomes include acceptability, adoption, appropriateness, compliance/fidelity, feasibility, penetration, sustainability, and costs. This systematic review identified quantitative measures that are used to assess health policy implementation determinants and outcomes and evaluated the quality of these measures. Methods: Three frameworks guided the review: Implementation Outcomes Framework (Proctor et al.), Consolidated Framework for Implementation Research (Damschroder et al.), and Policy Implementation Determinants Framework (Bullock et al.). Six databases were searched: Medline, CINAHL Plus, PsycInfo, PAIS, ERIC, and Worldwide Political. Searches were limited to English language, peer-reviewed journal articles published January 1995 to April 2019. Search terms addressed four levels: health, public policy, implementation, and measurement. Empirical studies of public policies addressing physical or behavioral health with quantitative self-report or archival measures of policy implementation with at least two items assessing implementation outcomes or determinants were included. Consensus scoring of the Psychometric and Pragmatic Evidence Rating Scale assessed the quality of measures. Results: Database searches yielded 8417 non-duplicate studies, with 870 (10.3%) undergoing full-text screening, yielding 66 studies. From the included studies, 70 unique measures were identified to quantitatively assess implementation outcomes and/or determinants. Acceptability, feasibility, appropriateness, and compliance were the most commonly measured implementation outcomes. Common determinants in the identified measures were organizational culture, implementation climate, and readiness for implementation, each aspects of the internal setting. Pragmatic quality ranged from adequate to good, with most measures freely available, brief, and at high school reading level. Few psychometric properties were reported. Conclusions: Well-tested quantitative measures of implementation internal settings were under-utilized in policy studies. Further development and testing of external context measures are warranted. This review is intended to stimulate measure development and high-quality assessment of health policy implementation outcomes and determinants to help practitioners and researchers spread evidence-informed policies to improve population health.State and Local Government Expenditures and Infant Mortality in the United States
AbstractGoldstein, N. D., Palumbo, A. J., Bellamy, S. L., Purtle, J., & Locke, R. (n.d.).Publication year
2020Journal title
PediatricsVolume
146Issue
5AbstractBACKGROUND AND OBJECTIVES: Evidence suggests that government expenditures on non–health care services can reduce infant mortality, but it is unclear what types of spending have the greatest impact among groups at highest risk. Thus, we sought to quantify how US state government spending on various services impacted infant mortality rates (IMRs) over time and whether spending differentially reduced mortality in some subpopulations. METHODS: A longitudinal, repeated-measures study of US state-level infant mortality and state and local government spending for the years 2000–2016, the most recent data available. Expenditures included spending on education, social services, and environment and housing. Using generalized linear regression models, we assessed how changes in spending impacted infant mortality over time, overall and stratified by race and ethnicity and maternal age group. RESULTS: State and local governments spend, on average, $9 per person. A $0.30 per-person increase in environmental spending was associated with a decrease of 0.03 deaths per 1000 live births, and a $0.73 per-person increase in social services spending was associated with a decrease of 0.02 deaths per 1000 live births. Infants born to mothers aged,20 years had the single greatest benefit from an increase in expenditures compared with all other groups. Increased expenditures in public health, housing, parks and recreation, and solid waste management were associated with the greatest reduction in overall IMR. CONCLUSIONS: Investment in non–health care services was associated with lower IMRs among certain high-risk populations. Continued investments into improved social and environmental services hold promise for further reducing IMR disparities.State Mental Health Agency Officials’ Preferences for and Sources of Behavioral Health Research
AbstractPurtle, J., Lê-Scherban, F., Nelson, K. L., Shattuck, P. T., Proctor, E. K., & Brownson, R. C. (n.d.).Publication year
2020Journal title
Psychological ServicesVolume
17Page(s)
93-97AbstractState mental health agencies (SMHAs) are integral to public behavioral health service systems. As such, senior-level officials within SMHAs are important targets for advocacy and dissemination of behavioral health research findings. Evidence-informed decision making in SMHAs can potentially be enhanced by developing summaries of behavioral health research (e.g., policy briefs) that reflect SMHA officials’ information preferences, but knowledge about these preferences is lacking. An exploratory study was conducted with the aims of characterizing senior-level SMHA officials’ preferences for behavioral health research and describing where they turn for this research when making policy decisions. A cross-sectional, web-based survey of senior-level SMHA officials (1 per state) was conducted in March-May 2017 (n = 43, response rate = 84%). The features of behavioral health research that SMHA officials identified as “very important” most frequently were research being relevant to state residents (93.0%), providing data on cost-effectiveness (86.0%) and budget impact (81.4%), and being presented concisely (81.0%). The primary sources that SMHA officials turned to for behavioral research when making policy decisions were professional organizations (79.1%), SMHA agency staff (60.5%), and university researchers (55.8%). Compared with state legislators’ responses to the same survey questions, results suggest that senior-level SMHA officials and legislators have similar preferences for behavioral health research but turn to different sources for this research. Advocates and researchers who seek to promote evidence-informed decision making in SMHAs should consider developing policy briefs that are concise, provide state-level prevalence data about behavioral conditions, and contain economic evaluation data, and they should disseminate these materials to multiple sources.Systematic Review of Evaluations of Trauma-Informed Organizational Interventions That Include Staff Trainings
AbstractPurtle, J. (n.d.).Publication year
2020Journal title
Trauma, Violence, and AbuseVolume
21Issue
4Page(s)
725-740AbstractEnthusiasm for trauma-informed practice has increased dramatically. Organizational interventions that train staff about trauma-informed practice are frequently used to promote trauma-informed systems change, but evidence about these interventions’ effects has not been integrated. A systematic review was conducted of studies that evaluated the effects of organizational interventions that included a “trauma-informed” staff training component. A search was conducted in July 2017 and studies were identified in PubMed, PsycINFO, and the Published International Literature on Traumatic Stress database, limited to articles published in English after 2000. Six hundred and thirty-two articles were screened and 23 met inclusion criteria. Seventeen studies used a single group pretest/posttest design, five used a randomized controlled design, and one used a quasi-experimental design with a nonrandomized control group. The duration of trauma-informed trainings ranged from 1 hr to multiple days. Staff knowledge, attitudes, and behaviors related to trauma-informed practice improved significantly pre-/posttraining in 12 studies and 7 studies found that these improvements were retained at ≥1month follow-up. Eight studies assessed the effects of a trauma-informed organizational intervention on client outcomes, five of which found statistically significantly improvements. The strength of evidence about trauma-informed organization intervention effects is limited by an abundance of single group, pretest/posttest designs with short follow-up periods, unsophisticated analytic approaches, and inconsistent use of assessment instruments. In addition to addressing these methodological limitations, priorities for future research include understanding intervention effects on clients’ perceptions of care and the mechanisms through which changes in staff knowledge and attitudes about trauma-informed practice influence client outcomes.The heterogeneous effect of marijuana decriminalization policy on arrest rates in Philadelphia, Pennsylvania, 2009–2018
AbstractTran, N. K., Goldstein, N. D., Purtle, J., Massey, P. M., Lankenau, S. E., Suder, J. S., & Tabb, L. P. (n.d.).Publication year
2020Journal title
Drug and alcohol dependenceVolume
212AbstractBackground: Marijuana decriminalization holds potential to reduce health inequities. However, limited attention has focused on assessing the impact of decriminalization policies across different populations. This study aims to determine the differential effect of a marijuana decriminalization policy change in Philadelphia, PA on marijuana arrests by demographic characteristics. Methods: Using a comparative interrupted time series design, we assessed whether the onset of marijuana decriminalization in Philadelphia County was associated with reduction in arrests rates from 2009 to 2018 compared to Dauphin County. Stratified models were used to describe the differential impact of decriminalization across different demographic populations. Results: Compared to Dauphin, the mean arrest rate for all marijuana-related crimes in Philadelphia declined by 19.9 per 100,000 residents (34.9% reduction), 17.1 per 100,000 residents (43.1% reduction) for possession, and 2.8 per 100,000 resident (15.9% reduction) for sales/manufacturing. Arrest rates also differed by demographic characteristics post-decriminalization. Notably, African Americans had a greater absolute/relative reduction in possession-based arrests than Whites. However, relative reductions for sales/manufacturing-based arrests was nearly 3 times lower for African Americans. Males had greater absolute/relative reduction for possession-based arrests, but lower relative reduction for sales/manufacturing-based arrests compared to females. There were no substantial absolute differences by age; however, youths (vs. adults) experienced higher relative reduction in arrest rates. Conclusions: Findings suggest an absolute/relative reduction for possession-based arrests post-decriminalization; however, relative disparities in sales/manufacturing-based arrests, specifically for African Americans, increased. More consideration towards the heterogeneous effect of marijuana decriminalization are needed given the unintended harmful effects of arrest on already vulnerable populations.Toward the data-driven dissemination of findings from psychological science.
AbstractPurtle, J., Marzalik, J. S., Halfond, R. W., Bufka, L. F., Teachman, B. A., & Aarons, G. A. (n.d.).Publication year
2020Journal title
American PsychologistVolume
75Issue
8Page(s)
1052-1066AbstractThe public health impact of psychological science is maximized when it is disseminated clearly and compellingly to audiences who can act on it. Dissemination research can generate knowledge to help achieve this, but dissemination is understudied in the field of implementation science. As a consequence, the designs of dissemination strategies are typically driven by anecdote, not evidence, and are often ineffective. We address this issue by synthesizing key theory and findings from consumer psychology and detailing a novel research approach for “data-driven dissemination.” The approach has 3 parts: (a) formative audience research, which characterizes an audience’s awareness about, adoption of, and attitudes toward an intervention, as well as preferences for receiving information about it; (b) audience segmentation research, which identifies meaningful subgroups within an audience to inform the tailoring of dissemination strategies; and (c) dissemination effectiveness research, which determines the strategies that are most effective. This approach is then illustrated using the dissemination of the American Psychological Association’s (APA, 2017) Clinical Practice Guideline for the Treatment of Posttraumatic Stress Disorder (PTSD) in Adults as a case study. Data are presented from a 2018–2019 survey of licensed APA-member psychologists who treat adults with PTSD (n = 407, response rate = 29.8%). We present survey findings on awareness about, attitudes toward, and adoption of the guideline and find significant differences across these domains between psychologists who do and do not regularly use clinical practice guidelines. We conclude by discussing future directions to advance dissemination research and practice. (PsycInfo Database Record (c) 2020 APA, all rights reserved)<strong xmlns:lang="en">Public Significance Statement—Dissemination is understudied in the field of implementation science and there is little guidance about how dissemination research should be conducted. As a consequence, the designs of dissemination strategies are typically driven by anecdote, not evidence. We address this issue by detailing a 3-part research approach for “data-driven dissemination.”What Predicts a Mayoral Official’s Opinion about the Role of Stress in Health Disparities?
AbstractCuevas, A. G., Levine, S., & Purtle, J. (n.d.).Publication year
2020Journal title
Journal of Racial and Ethnic Health DisparitiesVolume
7Issue
1Page(s)
109-116AbstractHigh stress is a public health issue in the United States (US), that disproportionately affects socially-marginalized group members, including racial and ethnic minorities and those of low socioeconomic status. While city governments have the potential to reduce stress exposure and health disparities through municipal policies, very little is known about factors that are associated with mayor officials’ beliefs about stress as a determinant of disparities. This information is important because it can inform the design of interventions to educate city policymakers about evidence related to stress and health disparities. Using data from a 2016 survey of 230 mayor officials (101 mayors, 129 senior staff), multivariable logistic regression was used to determine the extent to which respondents’ individual characteristics (e.g., ideology, highest level of education) and the characteristics of their city’s population (e.g., percentage of residents non-white) were associated with their identification of stress as a factor that has a “very strong effect” on health disparities. Forty-four percent of respondents identified stress as having a very strong effect on health disparities. In the fully adjusted model, every percentage point increase in the proportion of a respondent’s city population that was non-White increased the odds of identifying stress as having a very strong effect on health disparities by 2% [adjusted odds ratio (aOR) = 1.02; 95% CI = 1.00,1.04]. Interventions are needed to increase city policymakers’ knowledge about the role of stress in the production of health disparities, which could, in turn, help cultivate political will for city policies that reduce disparities.Big City Health Officials' Conceptualizations of Health Equity
AbstractHenson, R. M., Mcginty, M., Juliano, C., & Purtle, J. (n.d.).Publication year
2019Journal title
Journal of Public Health Management and PracticeVolume
25Issue
4Page(s)
332-341AbstractContext: Senior health officials of local health departments are uniquely positioned to provide transformational leadership on health disparities and inequities. Objective: This study aimed to understand how senior health officials in large US cities define health equity and its relationship with disparities and characterize these senior health officials' perceptions of using health equity and disparity language in local public health practice. Design: In 2016, we used a general inductive qualitative design and conducted 23 semistructured interviews with leaders of large local health departments. Thematic content analysis was conducted using NVivo 11. Participants: A purposive sample of senior health officials from Big Cities Health Coalition cities. Results: Health equity was conceptualized fairly consistently among senior health officials in big cities. Core elements of these conceptualizations include social and economic conditions, the input and redistribution of resources, equity in practice, values of justice and fairness, and equity as an outcome to be achieved. Senior health officials saw health disparity and health inequity as distinct but related concepts. Relationships between concepts included disparities data to identify and prioritize inequities, inequities creating health disparities, health equity to eliminate disparities, and disparities becoming inequities when their root causes are unjust. Some respondents critiqued health equity terminology for representing a superficial change, being inaccessible, and being politically loaded. Conclusions: Understanding how senior health officials conceptualize health equity and disparities can focus policy priorities, resources, and the scope of work undertaken by local health departments. Having a common language for health equity allows for policy and resource advocacy to promote the health of marginalized populations.Complex Systems Approaches to Understand Drivers of Mental Health and Inform Mental Health Policy: A Systematic Review
AbstractLangellier, B. A., Yang, Y., Purtle, J., Nelson, K. L., Stankov, I., & Diez Roux, A. V. (n.d.).Publication year
2019Journal title
Administration and Policy in Mental Health and Mental Health Services ResearchVolume
46Issue
2Page(s)
128-144AbstractWe conducted a systematic review of studies employing complex systems approaches (i.e., agent based and system dynamics models) to understand drivers of mental health and inform mental health policy. We extracted key data (e.g., purpose, design, data) for each study and provide a narrative synthesis of insights generated across studies. The studies investigated drivers and policy intervention strategies across a diversity of mental health outcomes. Based on these studies and the extant literature, we propose a typology of mental health research and policy areas that may benefit from complex systems approaches.Depression and alcohol misuse among older adults: exploring mechanisms and policy impacts using agent-based modelling
AbstractStankov, I., Yang, Y., Langellier, B. A., Purtle, J., Nelson, K. L., & Diez Roux, A. V. (n.d.).Publication year
2019Journal title
Social psychiatry and psychiatric epidemiologyVolume
54Issue
10Page(s)
1243-1253AbstractPurpose: To: (1) explore how multi-level factors impact the longitudinal prevalence of depression and alcohol misuse among urban older adults (≥ 65 years), and (2) simulate the impact of alcohol taxation policies and targeted interventions that increase social connectedness among excessive drinkers, socially isolated and depressed older adults; both alone and in combination. Methods: An agent-based model was developed to explore the temporal co-evolution of depression and alcohol misuse prevalence among older adults nested in a spatial network. The model was based on Los Angeles and calibrated longitudinally using data from the Multi-Ethnic Study of Atherosclerosis. Results: Interventions with a social component targeting depressed and socially isolated older adults appeared more effective in curbing depression prevalence than those focused on excessive drinkers. Targeting had similar impacts on alcohol misuse, though the effects were marginal compared to those on depression. Alcohol taxation alone had little impact on either depression or alcohol misuse trajectories. Conclusions: Interventions that improve social connectedness may reduce the prevalence of depression among older adults. Targeting considerations could play an important role in determining the success of such efforts.Examining the possible impact of daily transport on depression among older adults using an agent-based model
AbstractYang, Y., Langellier, B. A., Stankov, I., Purtle, J., Nelson, K. L., & Diez Roux, A. V. (n.d.).Publication year
2019Journal title
Aging and Mental HealthVolume
23Issue
6Page(s)
743-751AbstractObjectives: Daily transport may impact depression risk among older adults through several pathways including facilitating the ability to meet basic needs, enabling and promoting contact with other people and nature, and promoting physical activity (e.g. through active transportation such as walking or walking to public transit). Both daily transport and depression are influenced by the neighborhood environment. To provide insights into how transport interventions may affect depression in older adults, we developed a pilot agent-based model to explore the contribution of daily transport and neighborhood environment to older adults’ depression in urban areas. Method: The model includes about 18,500 older adults (i.e. agents) between the ages of 65 and 85 years old, living in a hypothetical city. The city has a grid space with a number of neighborhoods and locations. Key dynamic processes in the model include aging, daily transport use and feedbacks, and the development of depression. Key parameters were derived from US data sources. The model was validated using empirical studies. Results: An intervention that combines a decrease in bus fares, shorter bus waiting times, and more bus lines and stations is most effective at reducing depression. Lower income groups are likely to be more sensitive to the public transit-oriented intervention. Conclusion: Preliminary results suggest that promoting public transit use may be a promising strategy to increase daily transport and decrease depression. Our results may have implications for transportation policies and interventions to prevent depression in older adults.Modeling HPV vaccination scale-up among urban young men who have sex with men in the context of HIV
AbstractGoldstein, N. D., LeVasseur, M. T., Tran, N. K., Purtle, J., Welles, S. L., & Eppes, S. C. (n.d.).Publication year
2019Journal title
VaccineVolume
37Issue
29Page(s)
3883-3891AbstractIntroduction: Young men who have sex with men (YMSM) are at high risk to contract human papillomavirus (HPV). While an effective vaccination exists, its use among YMSM is markedly lower compared to non-MSM and women. This study compares scaling up HPV vaccination in conjunction with other prevention strategies. Methods: An agent-based model of urban YMSM (≤26 years of age) reflective of the demography of Philadelphia, PA, simulated for up to ten years of follow-up to examine anal and oral transmission of the HPV genotypes covered in the nonavalent (9v) vaccine: 6, 11, 16, 18, 31, 33, 45, 52, 58. Starting HPV prevalences ranged from a high of 18% (type 6) to a low of 6% (type 31); overall 65% of individuals carried any HPV genotype. Simulated levels of vaccination were ranged from 0% to 13% (present-day level), 25%, 50%, 80% (Healthy People 2020 target), and 100% in conjunction with condom use and HIV seroadaptive practices. The primary outcome was the relative reduction in HPV infection. Results: Compared to present-day vaccination levels (13%), scaling-up vaccination led to expected declines in 10-year post-simulation HPV prevalence. Anal HPV (any 9v types) declined by 9%, 27%, 46%, and 58% at vaccination levels of 25%, 50%, 80%, and 100%, respectively. Similarly, oral HPV (any 9v types) declined by 11%, 33%, 57%, and 71% across the same levels of vaccine uptake. Comparing the prevention strategies, condoms blocked the greatest number of anal transmissions when vaccination was at or below present-day levels. For oral transmission, vaccination was superior to condom use at all levels of coverage. Conclusions: Public health HPV preventions strategies should continue to emphasize the complementary roles of condoms and vaccination, especially for preventing oral infection. Improving vaccination coverage will ultimately have the greatest impact on reducing HPV infection among YMSM.Perceptions of patient-provider communication and receipt of mental health treatment among older adults with depressive symptoms
AbstractNelson, K. L., & Purtle, J. (n.d.).Publication year
2019Journal title
Aging and Mental HealthVolume
23Issue
4Page(s)
485-490AbstractObjectives: This study aimed to: (1) determine if and how perceptions towards healthcare providers differ between older adults with and without clinically signifcant depressive symptoms (CSDS), and (2) assess whether perceptions towards providers are associated with receipt of mental health treatment among older adults with CSDS. Methods: Data from the 2013 and 2014 Medical Expenditure Panel Survey were used to examine CSDS prevalence, receipt of mental health treatment, and perceptions of provider communication among community-dwelling adults ≥ age 65 (N = 6,936) using four of the ‘How Well Doctors Communicate’ composite items from the Consumer Assessment of Healthcare Providers and Systems(CAHPS). Multivariate logistic regression was used. Results: CSDS are associated with greater odds of having ‘poor’ perceptions of provider communication on all four CAHPS communication measures. Perceptions of provider communication are similar among older adults with CSDS who received and did not receive mental health treatment, except on an item measuring a provider's ability to explain information in ways patients understand. Conclusion: Older adults with CSDS have more negative perceptions of the quality of their communication with healthcare providers than their peers. Healthcare systems should consider how to accommodate these patients’ unique needs and communication preferences to ensure receipt of quality care.Population-based approaches to mental health: History, strategies, and evidence
AbstractPurtle, J., Nelson, K. L., Counts, N. Z., & Yudell, M. (n.d.).Publication year
2019Journal title
Annual Review of Public HealthVolume
41Page(s)
201-221AbstractThere is growing recognition in the fields of public health and mental health services research that the provision of clinical services to individuals is not a viable approach to meeting the mental health needs of a population. Despite enthusiasm for the notion of population-based approaches to mental health, concrete guidance about what such approaches entail is lacking, and evidence of their effectiveness has not been integrated. Drawing from research and scholarship across multiple disciplines, this review provides a concrete definition of population-based approaches to mental health, situates these approaches within their historical context in the United States, and summarizes the nature of these approaches and their evidence. These approaches span three domains: (a) social, economic, and environmental policy interventions that can be implemented by legislators and public agency directors, (b) public health practice interventions that can be implemented by public health department officials, and (c) health care system interventions that can be implemented by hospital and health care system leaders.State legislators' opinions about adverse childhood experiences as risk factors for adult behavioral health conditions
AbstractPurtle, J., Lê-Scherban, F., Wang, X., Brown, E., & Chilton, M. (n.d.).Publication year
2019Journal title
Psychiatric ServicesVolume
70Issue
10Page(s)
894-900AbstractObjectives: Adverse childhood experiences (ACEs) increase risk of adult behavioral health conditions. State legislators are an important audience to target with evidence about ACEs because they make policy decisions that can prevent ACE exposure and enhance resilience. This study sought to describe state legislators' opinions about ACEs as risk factors for adult behavioral health conditions and identify how opinions vary between legislators with different characteristics. Methods: A multimodal survey was conducted in 2017 (response rate, 16.4%; N=475). Dependent variables were the extent to which legislators thought that four ACEs-sexual abuse, physical abuse, witnessing domestic violence, and childhood neglect-increase risk of adult behavioral health conditions. Independent variables were legislator characteristics (e.g., ideology and gender). Rao-Scott chi-square tests and multivariable logistic regression were conducted. Results: Childhood sexual abuse was identified as a major risk factor by the largest proportion of respondents (77%), followed by childhood physical abuse (59%), witnessing domestic violence (39%), and childhood neglect (38%). The proportion identifying each ACE as a major risk factor was significantly higher among Democrats than among Republicans, liberals than among conservatives, and women than among men. For example, 56% of liberals identified witnessing domestic violence as a major risk factor, compared with 29% of conservatives (p,.001). Conclusions: Opinions about ACEs as risk factors for adult behavioral health conditions varied between legislators with different characteristics, especially liberals and conservatives. To enhance the policy impact of evidence about ACEs, advocates might consider developing multiple versions of ACE evidence summaries that are tailored on the basis of these characteristics.State Legislators’ Support for Behavioral Health Parity Laws: The Influence of Mutable and Fixed Factors at Multiple Levels
AbstractPurtle, J., Lê-Scherban, F., Wang, X., Shattuck, P. T., Proctor, E. K., & Brownson, R. C. (n.d.).Publication year
2019Journal title
Milbank QuarterlyVolume
97Issue
4Page(s)
1200-1232AbstractPolicy Points When communicating with state legislators, advocates for state behavioral health parity laws should emphasize that the laws do not increase insurance premiums. Legislators’ opinions about the impacts of state behavioral health parity laws and the effectiveness of behavioral health treatment have more influence on support for the laws than do their political party affiliation or state-level contextual factors. Reducing legislators’ stigma toward people with mental illness could increase their support for state behavioral health parity laws. Context: Comprehensive state behavioral health parity legislation (C-SBHPL) is an evidence-based policy that improves access and adherence to behavioral health treatments. However, adoption of C-SBHPL by state legislators is low. Little is known about how C-SBHPL evidence might be most effectively disseminated to legislators or how legislators’ fixed characteristics (eg, ideology), mutable characteristics (eg, beliefs about the policy's impact), and state-level contextual factors might influence their support for behavioral health policies. The purpose of our study is (1) to describe the associations between legislators’ fixed and mutable characteristics, state-level contextual factors, and support for C-SBHPL; and (2) to identify the mutable characteristics of legislators independently associated with C-SBHPL support. Methods: We conducted a multimodal (post mail, email, telephone) survey of US state legislators in 2017 (N = 475). The dependent variable was strong support for C-SBHPL, and the independent variables included legislators’ fixed and mutable characteristics and state-level contextual factors. We conducted multivariable, multilevel (legislator, state) logistic regression. Findings: Thirty-nine percent of the legislators strongly supported C-SBHPL. After adjustment, the strongest predictors of C-SBHPL support were beliefs that C-SBHPL increases access to behavioral health treatments (aOR = 5.85; 95% CI = 2.41, 14.20) and does not increase insurance premiums (aOR = 2.70; 95% CI = 1.24, 5.90). Stigma toward people with mental illness was inversely associated with support (aOR = 0.86; 95% CI = 0.78, 0.95). After adjustment, ideology was the only fixed characteristic significantly associated with support for C-SBHPL. State-level contextual factors did not moderate associations between mutable characteristics and support for C-SBHPL. Conclusions: Legislators’ mutable characteristics are stronger predictors of C-SBHPL support than are most of their fixed characteristics and all state-level contextual factors, and thus should be targeted by dissemination efforts.Strengthening partnerships between substance use researchers and policy makers to take advantage of a window of opportunity
AbstractMeisel, Z. F., Mitchell, J., Polsky, D., Boualam, N., McGeoch, E., Weiner, J., Miclette, M., Purtle, J., Schackman, B., & Cannuscio, C. C. (n.d.).Publication year
2019Journal title
Substance Abuse: Treatment, Prevention, and PolicyVolume
14Issue
1AbstractBackground: The National Institute on Drug Abuse has identified a persistent research-to-practice gap in the implementation of evidence-based prevention and treatment programs for substance use disorder. To identify mechanisms to close this gap, we sought to obtain and characterize the range of policy makers' perspectives on the use of research in substance use disorder treatment and coverage decisions. Methods: We conducted open-ended, semi-structured interviews with a purposive sample of eighteen policy makers involved in the delivery of health services. The aim was to identify barriers and facilitators, attitudes, beliefs, and experiences surrounding the use of research related to the treatment and economics of substance use disorder. Results: The analysis generated four themes: 1) policy maker engagement with evidence and researchers; 2) strategic use and usefulness of research; 3) scientific rigor versus relevance; and 4) communication of evidence. Within each theme, the participants identified barriers, facilitators, current practice, and gave their perspectives on "ideal conditions" for research design, conduct and communication. Conclusions: Recommendations for investigators are the following actionable steps: 1) partner with policy makers early in the research process, 2) formulate and use research designs to meet the strategic goals of end-users; 3) systematically test alternative phrasing of scientific terminology - particularly in the realm of cost effectiveness research - that allow end users to better understand and repurpose the data; 4) incorporate qualitative research methods to uncover the narratives that explain the context and relevance of evidence; 5) incorporate study designs that prioritize timeliness of results; and 6) promote and reward researcher involvement in policy discussions.Trends and characteristics of proposed and enacted state legislation on childhood vaccination exemption, 2011–2017
AbstractGoldstein, N. D., Suder, J. S., & Purtle, J. (n.d.).Publication year
2019Journal title
American journal of public healthVolume
109Issue
1Page(s)
102-107AbstractObjectives. To examine trends and characteristics of proposed and enacted state legislation that would directly affect states’ immunization exemption laws. Methods. We performed content analysis of proposed bills in state legislatures from 2011 to 2017. We classified bills as provaccination or antivaccination. Results. State legislators proposed 175 bills, with the volume increasing over time: 92 (53%) bills expanded access to exemptions, and 83 (47%) limited the ability to exempt. Of the 13 bills signed into law, 12 (92%) limited the ability to exempt. Bills that expanded access to exemptions were more likely to come from Republican legislators and Northeastern and Southern states. Conclusions. Although most proposed legislation would have expanded access to exemptions, bills that limited exemptions were more likely to be enacted into law. Legal barriers to exempt one’s children from vaccination persist despite vaccine hesitancy, which is encouraging for public health. Public Health Implications. Most vaccine exemption laws introduced in state legislatures would pose threats to the public’s health. There is a need for constituents to engage their elected legislators and advocate provaccination policies.Urban–Rural Differences in Older Adult Depression: A Systematic Review and Meta-analysis of Comparative Studies
AbstractPurtle, J., Nelson, K. L., Yang, Y., Langellier, B., Stankov, I., & Diez Roux, A. V. (n.d.).Publication year
2019Journal title
American journal of preventive medicineVolume
56Issue
4Page(s)
603-613AbstractContext: Depression among older adults (aged 60 years or older) is a problem that could be exacerbated by global trends in urbanization and population aging. The study purpose was to assess whether urban, relative to rural, residence is associated with depression among older adults and whether associations differ in countries with developed versus developing economies. Evidence acquisition: In 2017, the authors identified and extracted information from comparative studies of urban–rural depression prevalence among older adults. Studies were identified in PubMed, PsychINFO, and Web of Science and limited to English language articles published after 1985. Eighteen studies met inclusion criteria. Random effects meta-analysis was conducted to produce weighted pooled ORs estimating the association between urban–rural residence and depression for all study participants (N=31,598) and sub-analyses were conducted for developed (n=12,728) and developing (n=18,870) countries. Evidence synthesis: Depression prevalence was significantly higher among urban residents in ten studies and significantly higher among rural residents in three studies (all three conducted in China). Associations between urban–rural residence and depression generally remained significant after adjusting for covariates. In developed countries, the odds of depression were significantly higher among urban than rural residents (pooled OR=1.44, 95% CI=1.10, 1.88). However, in developing countries, this association was not observed (pooled OR=0.91, 95% CI=0.46, 1.77). Conclusions: Converging trends of urbanization and population aging could increase the global burden of depression among older adults. The pathways through which urban–rural residence influences depression risk among older adults might differ by country context. Future research should focus on measuring variation in these contexts.Uses of Population Health Rankings in Local Policy Contexts: A Multisite Case Study
AbstractPurtle, J., Peters, R., Kolker, J., & Diez Roux, A. V. (n.d.).Publication year
2019Journal title
Medical Care Research and ReviewVolume
76Issue
4Page(s)
478-496AbstractPopulation health rankings are a common strategy to spur evidence-informed health policy making, but little is known about their uses or impacts. The study aims were to (1) understand how and why the County Health Rankings (CH-Rankings) are used in local policy contexts, (2) identify factors that influence CH-Rankings utilization, and (3) explore potentially negative impacts of the CH-Rankings. Forty-four interviews were conducted with health organization officials and public policy makers in 15 purposively selected counties. The CH-Rankings were used instrumentally to inform internal planning decisions, conceptually to educate the public and policy makers about determinants of population health, and politically to advance organizational agendas. Factors related to organizational capacity, county political ideology, and county rank influenced if, how, and why the CH-Rankings were used. The CH-Rankings sometimes had the negative impacts of promoting potentially ineffective interventions in politically conservative counties and prompting negative media coverage in some counties with poor rank.A Case Study of the Philadelphia Sugar-Sweetened Beverage Tax Policymaking Process: Implications for Policy Development and Advocacy
AbstractPurtle, J., Langellier, B., & Lê-Scherban, F. (n.d.).Publication year
2018Journal title
Journal of Public Health Management and PracticeVolume
24Issue
1Page(s)
4-8AbstractContext: Policymakers are increasingly proposing sugar-sweetened beverage (SSB) taxes as an evidence-based strategy to reduce chronic disease risk; and local health departments (LHDs) are well-positioned to play a role in SSB policy development and advocacy. However, most SSB tax proposals fail to become law and limited empiric guidance exists to inform advocacy efforts. In June 2016, Philadelphia, Pennsylvania, passed an SSB tax. Objective: To identify features of the Philadelphia SSB tax policymaking process that contributed to the proposal's passage. Design: Qualitative case study. Semistructured interviews were conducted with key informants closely involved with the policymaking process. Interviews were audio-recorded and transcribed. Local news media about the SSB tax proposal were analyzed to triangulate interview findings. Analysis was conducted in NVivo 10 using inductive qualitative content analysis. Setting: Philadelphia, Pennsylvania, during the SSB tax policymaking in process. Participants: Nine key informants (2 city councilpersons, 4 city agency officials, 1 community-based advocate, 1 news reporter, and 1 researcher). Results: The Philadelphia SSB tax proposal was introduced with the explicit goal of financing universal prekindergarten and deliberately not framed as a health intervention. This framing shifted contentious debates about government involvement in individual behavior toward discussions about how to finance universal prekindergarten, a goal for which broad support existed. The LHD played an important role in communicating research evidence about potential health benefits of the SSB tax proposal at the end of the policymaking process. Conclusions: During local SSB tax policy development processes, LHD officials and other advocates should encourage policymakers to design SSB tax policies so that revenue is directed toward community investments for which broad public support exists. When communicating with policymakers and the public, LHDs should consider emphasizing how SSB tax revenue will be used in addition to presenting evidence about the potential health benefits of the SSB tax at the local level.A Content Analysis of Hospitals’ Community Health Needs Assessments in the Most Violent U.S. Cities
AbstractFischer, K. R., Schwimmer, H., Purtle, J., Roman, D., Cosgrove, S., Current, J. J., & Greene, M. B. (n.d.).Publication year
2018Journal title
Journal of Community HealthVolume
43Issue
2Page(s)
259-262AbstractThe emergence of evidence-supported interventions allows hospitals the opportunity to reduce future reinjury among patients who are violently injured. However, hospital knowledge of these interventions and their perceived role in violence prevention is unknown. The Patient Protection and Affordable Care Act created new legal requirements for non-profit hospitals to conduct community health needs assessments (CHNA) every three years to maintain not-for-profit status. In turn, this allows an empiric evaluation of hospital recognition and response to community violence. To do so, this study performed a content analysis of hospital CHNAs from the 20 U.S. cities with the highest violent crime rates. A total of 77 CHNAs were examined for specific violence-related keywords as well as whether violence prevention was listed as a priority community need. Overall, 74% of CHNAs mentioned violence-related terms and only 32% designated violence prevention as a priority need. When discussed, 88% of CHNAs referenced community violence, 42% intimate partner or sexual violence, and 22% child abuse. This study suggests that hospitals may lack awareness of violence as an actionable, preventable public health issue. Further, evidence-based program models are available to hospitals that can reduce the recurrence of assaultive injuries.Assessing the spatial heterogeneity in overall health across the United States using spatial regression methods: The contribution of health factors and county-level demographics
Tabb, L. P., McClure, L. A., Quick, H., Purtle, J., & Diez Roux, A. V. (n.d.).Publication year
2018Journal title
Health and PlaceVolume
51Page(s)
68-77Audience segmentation to disseminate behavioral health evidence to legislators: An empirical clustering analysis
AbstractPurtle, J., Lê-Scherban, F., Wang, X., Shattuck, P. T., Proctor, E. K., & Brownson, R. C. (n.d.).Publication year
2018Journal title
Implementation ScienceVolume
13Issue
1AbstractBackground: Elected officials (e.g., legislators) are an important but understudied population in dissemination research. Audience segmentation is essential in developing dissemination strategies that are tailored for legislators with different characteristics, but sophisticated audience segmentation analyses have not been conducted with this population. An empirical clustering audience segmentation study was conducted to (1) identify behavioral health (i.e., mental health and substance abuse) audience segments among US state legislators, (2) identify legislator characteristics that are predictive of segment membership, and (3) determine whether segment membership is predictive of support for state behavioral health parity laws. Methods: Latent class analysis (LCA) was used. Data were from a multi-modal (post-mail, e-mail, telephone) survey of state legislators fielded in 2017 (N=475). Nine variables were included in the LCA (e.g., perceptions of behavioral health treatment effectiveness, mental illness stigma). Binary logistic regression tested associations between legislator characteristics (e.g., political party, gender, ideology) and segment membership. Multi-level logistic regression assessed the predictive validity of segment membership on support for parity laws. A name was developed for each segment that captured its most salient features. Results: Three audience segments were identified. Budget-oriented skeptics with stigma (47% of legislators) had the least faith in behavioral health treatment effectiveness, had the most mental illness stigma, and were most influenced by budget impact. This segment was predominantly male, Republican, and ideologically conservative. Action-oriented supporters (24%) were most likely to have introduced a behavioral health bill, most likely to identify behavioral health issues as policy priorities, and most influenced by research evidence. This was the most politically and ideologically diverse segment. Passive supporters (29%) had the greatest faith in treatment effectiveness and the least stigma, but were also least likely to have introduced a behavioral health bill. Segment membership was a stronger predictor of support for parity laws than almost all other legislator characteristics. Conclusions: State legislators are a heterogeneous audience when it comes to behavioral health. There is a need to develop and test behavioral health evidence dissemination strategies that are tailored for legislators in different audience segments. Empirical clustering approaches to audience segmentation are a potentially valuable tool for dissemination science.Inter-Agency Strategies Used by State Mental Health Agencies to Assist with Federal Behavioral Health Parity Implementation
Purtle, J., Borchers, B., Clement, T., & Mauri, A. (n.d.).Publication year
2018Journal title
Journal of Behavioral Health Services and ResearchVolume
45Issue
3Page(s)
516-526