Context The aim of evidence-based decision-making in public health involves the integration of science-based interventions with community preferences to improve population health. Although considerable literature is available on the development and adoption of evidence-based guidelines and barriers to their implementation, the evidence base specific to public health administration is less developed. This article reviews the literature from public health and related disciplines to identify administrative evidence-based practices (A-EBPs; i.e., agency-level structures and activities that are positively associated with performance measures). Evidence acquisition A “review of reviews” was carried out to assess the evidence for the effectiveness of A-EBPs covering the time frame January 2000 through March 2012. The following steps were used: (1) select databases; (2) determine search parameters and conduct the search; (3) screen titles and abstracts; (4) obtain selected documents; (5) perform initial synthesis; (6) abstract data; and (7) synthesize evidence. Evidence synthesis In both the reviews and original empiric studies, the most common outcome reported was performance of the local health department or local public health system. On the basis of a synthesis of data from 20 reviews, a total of 11 high-priority A-EBPs were identified (i.e., practices that local public health systems potentially can modify within a few years). The A-EBPs covered five major domains of workforce development, leadership, organizational climate and culture, relationships and partnerships, and financial processes. Conclusions As the body of practice-based research continues to grow and the ability to measure administrative evidence-based practices improves, this initial list can be further developed and improved.

Background Limited evidence exists on themetabolic and cardiovascul ar risk correlates of commuting by vehicle, a habitual form of sedentary behavior. Purpose To examine the association between commuting distance, physical activity, cardiorespiratory fitness (CRF), and metabolic risk indicators. Methods This cross-sectional study included 4297 adults who had a comprehensive medical examination between 2000 and 2007 and geocoded home and work addresses in 12 Texas metropolitan counties. Commuting distance was measured along the road network. Outcome variables included weekly MET-minutes of self-reported physical activity, CRF, BMI, waist circumference, triglycerides, plasma glucose, high-density lipoprotein (HDL) cholesterol, systolic and diastolic blood pressure, and continuously measured metabolic syndrome. Outcomes were also dichotomized using established cut-points. Linear and logistic regression models were adjusted for sociodemographic characteristics, smoking, alcohol intake, family history of diabetes, and history of high cholesterol, as well as BMI and weekly MET-minutes of physical activity and CRF (for BMI and metabolic risk models). Analyses were conducted in 2011. Results Commuting distance was negatively associated with physical activity and CRF and positively associated with BMI, waist circumference, systolic and diastolic blood pressure, and continuous metabolic score in fully adjusted linear regression models. Logistic regression analyses yielded similar associations; however, of the models with metabolic risk indicators as outcomes, only the associations with elevated blood pressure remained significant after adjustment for physical activity and CRF. Conclusions Commuting distance was adversely associated with physical activity, CRF, adiposity, and indicators of metabolic risk.

Background 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. Registration Not registered

Introduction A better understanding of mis-implementation in public health (ending effective programs and policies or continuing ineffective ones) may provide important information for decision makers. The purpose of this study is to describe the frequency and patterns in mis-implementation of programs in state and local health departments in the U.S. Methods A cross-sectional study of 944 public health practitioners was conducted. The sample included state (n=277) and local health department employees (n=398) and key partners from other agencies (n=269). Data were collected from October 2013 through June 2014 (analyzed in May through October 2014). Online survey questions focused on ending programs that should continue, continuing programs that should end, and reasons for endings. Results Among state health department employees, 36.5% reported that programs often or always end that should have continued, compared with 42.0% of respondents in local health departments and 38.3% of respondents working in other agencies. In contrast to ending programs that should have continued, 24.7% of state respondents reported programs often or always continuing when they should have ended, compared to 29.4% for local health departments and 25% of respondents working in other agencies. Certain reasons for program endings differed at the state versus local level (e.g., policy support, support from agency leadership), suggesting that actions to address mis-implementation are likely to vary. Conclusions The current data suggest a need to focus on mis-implementation in public health practice in order to make the best use of scarce resources.

Background There are sparse data showing the extent to which evidence-based public health is occurring among local health departments. Purpose The purpose of the study was to describe the patterns and predictors of administrative evidence-based practices (structures and activities that are associated with performance measures) in a representative sample of local health departments in the United States. Methods A cross-sectional study of 517 local health department directors was conducted from October through December 2012 (analysis in January through March 2013). The questions on administrative evidence-based practices included 19 items based on a recent literature review (five broad domains: workforce development, leadership, organizational climate and culture, relationships and partnerships, financial processes). Results There was a wide range in performance among the 19 individual administrative evidence-based practices, ranging from 35% for access to current information on evidence-based practices to 96% for funding via a variety of sources Among the five domains, values were generally lowest for organizational climate and culture (mean for the domain = 49.9%) and highest for relationships and partnerships (mean for the domain = 77.1%). Variables associated with attaining the highest tertile of administrative evidence-based practices included having a population jurisdiction of 25,000 or larger (adjusted odds ratios (aORs) ranging from 4.4 to 7.5) and state governance structure (aOR=3.1). Conclusions This report on the patterns and predictors of administrative evidence-based practices in health departments begins to provide information on gaps and areas for improvement that can be linked with ongoing quality improvement processes.

BackgroundPreparing the public health workforce to practice evidence-based decision making (EBDM) is necessary to effectively impact health outcomes. Few studies report on training needs in EBDM at the national level in the United States. We report competency gaps to practice EBDM based on four U.S. national surveys we conducted with the state and local public health workforce between 2008 and 2013.MethodsWe compared self-reported data from four U.S. national online surveys on EBDM conducted between 2008 and 2013. Participants rated the importance of each EBDM competency then rated how available the competency is to them when needed on a Likert scale. We calculated a gap score by subtracting availability scores from importance scores. We compared mean gaps across surveys and utilized independent samples t tests and Cohen’s d values to compare state level gaps. In addition, participants in the 2013 state health department survey selected and ranked three items that “would most encourage you to utilize EBDM in your work” and items that “would be most useful to you in applying EBDM in your work”. We calculated the percentage of participants who ranked each item among their top three.ResultsThe largest competency gaps were consistent across all four surveys: economic evaluation, communicating research to policymakers, evaluation designs, and adapting interventions. Participants from the 2013 state level survey reported significantly larger mean importance and availability scores (p <0.001, d =1.00, and p <0.001, d = .78 respectively) and smaller mean gaps (p <0.01, d = .19) compared to the 2008 survey. Participants most often selected “leaders prioritizing EBDM” (67.9%) among top ways to encourage EBDM use. “EBDM training for specific areas” was most commonly ranked as important in applying EBDM (64.3%).ConclusionPerceived importance and availability of EBDM competencies may be increasing as supports for EBDM continue to grow through trends in funding, training, and resources. However, more capacity building is needed overall, with specific attention to the largest competency gaps. More work with public health departments to both situate trainings to boost competency in these areas and continued improvements for organizational practices (leadership prioritization) are possible next steps to sustain EBDM efforts.

This observational study examined the associations of built environment features around the home and workplace with cardiorespiratory fitness (CRF) based on a treadmill test and body mass index (BMI) (weight (kg)/height (m)(2)). The study included 8,857 adults aged 20-88 years who completed a preventive medical examination in 2000-2007 while living in 12 Texas counties. Analyses examining workplace neighborhood characteristics included a subset of 4,734 participants. Built environment variables were derived around addresses by using geographic information systems. Models were adjusted for individual-level and census block group-level demographics and socioeconomic status, smoking, BMI (in CRF models), and all other home or workplace built environment variables. CRF was associated with higher intersection density, higher number of private exercise facilities around the home and workplace, larger area of vegetation around the home, and shorter distance to the closest city center. Aside from vegetation, these same built environment features around the home were also associated with BMI. Participants who lived and worked in neighborhoods in the lowest tertiles for intersection density and the number of private exercise facilities had lower CRF and higher BMI values than participants who lived and worked in higher tertiles for these variables. This study contributes new evidence to suggest that built environment features around homes and workplaces may affect health.

Focus group interviews were conducted to explore sociocultural, environmental, and policy-related determinants of physical activity among sedentary American Indian women. Thirty women aged 20 to 50 years (mean = 37.4 +/- 10.6 years) participated. Three sessions were conducted with women aged 20 to 34 years and three with women aged 35 to 50 to evaluate response differences by age. Because no obvious age differences were observed, data were pooled. Barriers to physical activity included inadequate support for household and child care responsibilities and difficulties balancing home-related and societal expectations with physical activity. In addition, women reported little support from their communities and work sites to be physically active. Environmental barriers included lack of safe outdoor areas and accessible walking trails. Weather and stray dogs were also commonly mentioned. Sociocultural barriers included giving family obligations priority above all other things, being expected to eat large portions of high-fat foods, and failing to follow a traditionally active lifestyle. Enablers of physical activity included support from family and coworkers and participation in traditional community events. Suggested intervention approaches included accessible and affordable programs and facilities, community emphasis on physical activity, and programs that incorporated the needs of larger women and of families. Participants emphasized a preference for programs that were compatible with the role expectations of their families and communities, and they expressed the desire for acceptance and encouragement to be physically active from the family, the community, the worksite, and their tribal leaders.