16 research outputs found

    Use and awareness of the Community Guide in state and local health department chronic disease programs

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    INTRODUCTION: The Community Guide (Guide) is a user-friendly, systematic review system that provides information on evidence-based interventions (EBIs) in public health practice. Little is known about what predicts Guide awareness and use in state health departments (SHDs) and local health departments (LHDs). METHODS: We pooled data from 3 surveys (administered in 2016, 2017, and 2018) to employees in chronic disease programs at SHDs and LHDs. Participants (n = 1,039) represented all 50 states. The surveys asked about department practices and individual, organizational, and external factors related to decisions about EBIs. We used χ RESULTS: Eighty-one percent (n = 498) of SHD and 54% (n = 198) of LHD respondents reported their agency uses the Guide. Additionally, 13% of SHD participants reported not being aware of the Guide. Significant relationships were found between reporting using the Guide and academic collaboration, population size, rated importance of forming partnerships, and accreditation. CONCLUSION: Awareness and use of the Guide in LHD and SHD chronic disease programs is widespread. Awareness of the Guide can be vital to implementation practice, because it enhances implementation of EBI practices. However, awareness of the Guide alone is likely not enough for health departments to implement EBIs. Changes at the organizational level, including sharing information about the Guide and providing training on how to best use it, may increase its awareness and use

    How to start small and just keep moving forward : Mixed methods results from a stepped-wedge trial to support evidence-based processes in local health departments

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    BACKGROUND: Local health departments (LHDs) in the United States are charged with preventing disease and promoting health in their respective communities. Understanding and addressing what supports LHD\u27s need to foster a climate and culture supportive of evidence-based decision making (EBDM) processes can enhance delivery of effective practices and services. METHODS: We employed a stepped-wedge trial design to test staggered delivery of implementation supports in 12 LHDs (Missouri, USA) to expand capacity for EBDM processes. The intervention was an in-person training in EBDM and continued support by the research team over 24 months (March 2018-February 2020). We used a mixed-methods approach to evaluate: (1) individuals\u27 EBDM skills, (2) organizational supports for EBDM, and (3) administered evidence-based interventions. LHD staff completed a quantitative survey at 4 time points measuring their EBDM skills, organizational supports, and evidence-based interventions. We selected 4 LHDs with high contact and engagement during the intervention period to interview staff (n = 17) about facilitators and barriers to EBDM. We used mixed-effects linear regression to examine quantitative survey outcomes. Interviews were transcribed verbatim and coded through a dual independent process. RESULTS: Overall, 519 LHD staff were eligible and invited to complete quantitative surveys during control periods and 593 during intervention (365 unique individuals). A total of 434 completed during control and 492 during intervention (83.6 and 83.0% response, respectively). In both trial modes, half the participants had at least a master\u27s degree (49.7-51.7%) and most were female (82.1-83.8%). No significant intervention effects were found in EBDM skills or in implementing evidence-based interventions. Two organizational supports scores decreased in intervention vs. control periods: awareness (-0.14, 95% CI -0.26 to -0.01, CONCLUSIONS: Challenges (e.g., turnover, resources) may disrupt LHDs\u27 abilities to fully embed organizational processes which support EBDM. This study and related literature provides understanding on how best to support LHDs in building capacity to use and sustain evidence-based practices

    Perspectives on program mis-implementation among U.S. local public health departments

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    BACKGROUND: Public health resources are limited and best used for effective programs. This study explores associations of mis-implementation in public health (ending effective programs or continuing ineffective programs) with organizational supports for evidence-based decision making among U.S. local health departments. METHODS: The national U.S. sample for this cross-sectional study was stratified by local health department jurisdiction population size. One person was invited from each randomly selected local health department: the leader in chronic disease, or the director. Of 600 selected, 579 had valid email addresses; 376 completed the survey (64.9% response). Survey items assessed frequency of and reasons for mis-implementation. Participants indicated agreement with statements on organizational supports for evidence-based decision making (7-point Likert). RESULTS: Thirty percent (30.0%) reported programs often or always ended that should have continued (inappropriate termination); organizational supports for evidence-based decision making were not associated with the frequency of programs ending. The main reason given for inappropriate termination was grant funding ended (86.0%). Fewer (16.4%) reported programs often or always continued that should have ended (inappropriate continuation). Higher perceived organizational supports for evidence-based decision making were associated with less frequent inappropriate continuation (odds ratio = 0.86, 95% confidence interval 0.79, 0.94). All organizational support factors were negatively associated with inappropriate continuation. Top reasons were sustained funding (55.6%) and support from policymakers (34.0%). CONCLUSIONS: Organizational supports for evidence-based decision making may help local health departments avoid continuing programs that should end. Creative mechanisms of support are needed to avoid inappropriate termination. Understanding what influences mis-implementation can help identify supports for de-implementation of ineffective programs so resources can go towards evidence-based programs

    Substrate Type Determines Metagenomic Profiles from Diverse Chemical Habitats

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    Environmental parameters drive phenotypic and genotypic frequency variations in microbial communities and thus control the extent and structure of microbial diversity. We tested the extent to which microbial community composition changes are controlled by shifting physiochemical properties within a hypersaline lagoon. We sequenced four sediment metagenomes from the Coorong, South Australia from samples which varied in salinity by 99 Practical Salinity Units (PSU), an order of magnitude in ammonia concentration and two orders of magnitude in microbial abundance. Despite the marked divergence in environmental parameters observed between samples, hierarchical clustering of taxonomic and metabolic profiles of these metagenomes showed striking similarity between the samples (>89%). Comparison of these profiles to those derived from a wide variety of publically available datasets demonstrated that the Coorong sediment metagenomes were similar to other sediment, soil, biofilm and microbial mat samples regardless of salinity (>85% similarity). Overall, clustering of solid substrate and water metagenomes into discrete similarity groups based on functional potential indicated that the dichotomy between water and solid matrices is a fundamental determinant of community microbial metabolism that is not masked by salinity, nutrient concentration or microbial abundance

    Discovery of enzymes for toluene synthesis from anoxic microbial communities

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    Microbial toluene biosynthesis was reported in anoxic lake sediments more than three decades ago, but the enzyme catalyzing this biochemically challenging reaction has never been identified. Here we report the toluene-producing enzyme PhdB, a glycyl radical enzyme of bacterial origin that catalyzes phenylacetate decarboxylation, and its cognate activating enzyme PhdA, a radical S-adenosylmethionine enzyme, discovered in two distinct anoxic microbial communities that produce toluene. The unconventional process of enzyme discovery from a complex microbial community (>300,000 genes), rather than from a microbial isolate, involved metagenomics- and metaproteomics-enabled biochemistry, as well as in vitro confirmation of activity with recombinant enzymes. This work expands the known catalytic range of glycyl radical enzymes (only seven reaction types had been characterized previously) and aromatic-hydrocarbon-producing enzymes, and will enable first-time biochemical synthesis of an aromatic fuel hydrocarbon from renewable resources, such as lignocellulosic biomass, rather than from petroleum

    Assessing organizational supports for evidence-based decision making in local public health departments in the United States: Development and psychometric properties of a new measure

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    CONTEXT: Fostering evidence-based decision making (EBDM) within local public health departments and among local health department (LHD) practitioners is crucial for the successful translation of research into public health practice to prevent and control chronic disease. OBJECTIVE: The purpose of this study was to identify organizational supports for EBDM within LHDs and determine psychometric properties of a measure of organizational supports for EBDM in LHDs. DESIGN: Cross-sectional, observation study. SETTING: Local public health departments in the United States. PARTICIPANTS: Local health department practitioners (N = 376) across the United States participated in the study. MAIN OUTCOME MEASURES: Local health department practitioners completed a survey containing 27 items about organizational supports for EBDM. Most items were adapted from previously developed surveys, and input from researchers and practitioners guided survey development. Confirmatory factor analysis was used to test and refine the psychometric properties of the measure. RESULTS: The final solution included 6 factors of 22 items: awareness of EBDM (3 items), capacity for EBDM (7 items), resources availability (3 items), evaluation capacity (3 items), EBDM climate cultivation (3 items), and partnerships to support EBDM (3 items). This factor solution achieved acceptable fit (eg, Comparative Fit Index = 0.965). Logistic regression models showed positive relationships between the 6 factors and the number of evidence-based interventions delivered. CONCLUSIONS: This study identified important organizational supports for EBDM within LHDs. Results of this study can be used to understand and enhance organizational processes and structures to support EBDM to improve LHD performance and population health. Strong measures are important for understanding how LHDs support EBDM, evaluating interventions to improve LHD capacity, and to guide programmatic and policy efforts within LHDs

    Qual Research: Municipal officials\u27 perspectives on policymaking for addressing obesity and health equity

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    The aim of this qualitative research was to understand decision-making for policies impacting obesity and community health, and perspectives on obesity and related health disparities among local policymakers from municipalities experiencing obesity disparities. The dataset includes transcripts from 20 semi-structured interviews with local elected and top-appointed officials from municipalities across the United States, conducted between December 2020 and April 2021. The Institutional Review Board of Washington University in St. Louis approved this study (#202001197)
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