Journal of Public Health Management and Practice最新文献

{"title":"Mechanism Linking Cigarette Pack Factors, Point-of-Sale Marketing and Individual Factors With Smoking Intention Among School-Going Adolescents.","authors":"Kavita Jetly, Aniza Ismail, Noraryana Hassan, Azmawati Mohammed Nawi","doi":"10.1097/PHH.0000000000001960","DOIUrl":"10.1097/PHH.0000000000001960","url":null,"abstract":"<p><strong>Context: </strong>Tobacco usage accounts for one of the most preventable causes of death.</p><p><strong>Objective: </strong>This study aimed to explore mechanisms linking cigarette pack factors, point-of-sale marketing, and individual factors (psychological reactant trait) to predict smoking intention among school-going adolescents.</p><p><strong>Design, setting, and participants: </strong>This was a cross-sectional study conducted among 6 urban secondary schools. A pretested and validated self-administered questionnaire was used. Data analysis for structural equation modeling was done using SMART-PLS v3.2.8.</p><p><strong>Main outcome measure: </strong>The main outcome measure was to determine the direct and indirect effects of cigarette pack factors, point-of-sale marketing, and individual factors (psychological reactant trait) to predict smoking intention among school-going adolescents in a theory-based model.</p><p><strong>Results: </strong>A total of 386 adolescents fulfilling the inclusion criteria participated. Pictorial warning message reactance (β = .153, P  ≤ .001), pack receptivity of conventional pack (β = .297, P  = .004), and psychological reactant trait (β = .174, P  ≤ .001) were positively related to smoking intention. Pictorial warning negative affect (β = -.153, P  = .001) was negatively related to smoking intention. The psychological reactant trait was positively related to message reactance (β = .340, P  ≤ .001). However, recall exposure to point-of-sale marketing and pack appraisal of conventional pack was not positively related to smoking intention (β = .038, P  = .22 and β = -.026, P  = .39, respectively). Pictorial warning message reactance also positively mediates the relationship between psychological reactant trait and smoking intention (β = 0.05, p = .001). The model has strong predictive power.</p><p><strong>Conclusion: </strong>In conclusion, cigarette pack factors and psychological reactant traits are essential in predicting smoking intention. Hence, policymakers should consider these factors in developing smoking policies.</p>","PeriodicalId":47855,"journal":{"name":"Journal of Public Health Management and Practice","volume":" ","pages":"793-804"},"PeriodicalIF":2.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Changes in Self-Reported Mask Use After the Lifting of State-Issued Mask Mandates in 20 US States, February-June 2021.","authors":"Aderonke S Ajiboye, Christopher Dunphy, Linda Vo, Mara Howard-Williams, Chandresh N Ladva, Susan J Robinson, Russell McCord, Maxim Gakh, Regen Weber, Gregory Sunshine","doi":"10.1097/PHH.0000000000002036","DOIUrl":"10.1097/PHH.0000000000002036","url":null,"abstract":"<p><strong>Objective: </strong>In April 2020, the US Centers for Disease Control and Prevention (CDC) recommended community masking to prevent the transmission of SARS-CoV-2. Since then, a total of 39 US states and DC issued mask mandates. Despite CDC recommendations and supporting evidence that masking reduces COVID-19 community transmission, from January to June 20, 2021 states lifted their mask mandates for all individuals. This study examined the association between lifting state-issued mask mandates and mask-wearing behavior in 2021.</p><p><strong>Design: </strong>We estimated a difference-in-difference model, comparing changes in the likelihood for individuals to wear a mask in states that lifted their mask mandate relative to states that kept their mandates in place between February and June of 2021.</p><p><strong>Setting: </strong>Individuals were surveyed from across the United States.</p><p><strong>Participants: </strong>We used masking behavior data collected by the Porter Novelli View 360 + national surveys (N = 3459), and data from state-issued mask mandates obtained by CDC and the University of Nevada, Las Vegas.</p><p><strong>Main outcomes: </strong>The outcome variable of interest was self-reported mask use during the 30 days prior to the survey data collection.</p><p><strong>Results: </strong>In the overall population, lifting mask mandates did not significantly influence mask-wearing behavior. Mask wearing did significantly decrease in response to the lifting of mask mandates among individuals living in rural counties and individuals who had not yet decided whether they would receive a COVID-19 vaccine.</p><p><strong>Conclusion: </strong>Policies around COVID-19 behavioral mitigation, specifically amongst those unsure about vaccination and in rural areas, may help reduce the transmission of COVID-19 and other respiratory viruses, especially in communities with low vaccination rates.</p>","PeriodicalId":47855,"journal":{"name":"Journal of Public Health Management and Practice","volume":" ","pages":"E335-E343"},"PeriodicalIF":2.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11479639/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142134216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Critical Role of Health Educators: Findings from the 2021 Public Health Workforce Interests and Needs Survey (PH WINS).","authors":"Cam Escoffery, M Elaine Auld, Mayela Arana, Sarah Ravenhall","doi":"10.1097/PHH.0000000000001952","DOIUrl":"10.1097/PHH.0000000000001952","url":null,"abstract":"<p><strong>Objective: </strong>This analysis of governmental health educators from the 2021 Public Health Workforce Interest and Needs Survey (PH WINS) examines demographic and workplace characteristics, COVID-19 pandemic activities and beliefs, job satisfaction, training needs, mental health, and engagement in health equity.</p><p><strong>Setting and participants: </strong>Participants were public health staff in public health agencies who completed the 2021 PH WINS.</p><p><strong>Design and main outcome measures: </strong>Chi-square and means tests were used to compare job satisfaction, mental health status, training needs, and health equity concepts between health educators and other disciplines in the governmental public health workforce.</p><p><strong>Results: </strong>Like PH WINS 2017 findings, health educators were significantly younger, more likely to be female, more diverse, and more likely to work in regional/local health departments than the national governmental public health workforce. About 70% of health educators played a role in responding to the pandemic. Only 46.1% of health educators rated their mental health as excellent or very good as compared to 48.2% of other disciplines. About 31% considered leaving the organization due to stress, unsatisfactory opportunities, and lack of mentoring. Health educators expressed the need for training in financial and change management. Both health educators and other governmental workers expressed high levels of awareness of and confidence in addressing social determinants of health and health equity, but less confidence in addressing environmental justice. Certified health education specialists (CHES(R)) were significantly more likely to be aware of concepts of health equity, social determinants of health (SDOH), and structural racism than non-CHES(R).</p><p><strong>Conclusion: </strong>Overall, the training needs and job satisfaction of health educators changed little between the two surveys. However, COVID-19 had a significantly greater impact on their mental health status compared to other public health disciplines. They also are addressing racism in their communities and are more aware of health equity concepts than other public health disciplines. Implications for strengthening public health infrastructure, as well as recruitment/retention, professional preparation, and practice are provided.</p>","PeriodicalId":47855,"journal":{"name":"Journal of Public Health Management and Practice","volume":" ","pages":"780-792"},"PeriodicalIF":2.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141312007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent Single-Family Home Buyer Knowledge, Attitudes, and Behaviors Related to Lead and Radon Exposure Prevention.","authors":"Timothy Dignam, W D Flanders, Antonio Neri, Michael Shayne Gallaway","doi":"10.1097/PHH.0000000000002002","DOIUrl":"10.1097/PHH.0000000000002002","url":null,"abstract":"<p><strong>Context: </strong>Federal law requires property owners to disclose the presence of known lead-based paint and/or lead hazards to potential home buyers and renters in homes built before 1978.</p><p><strong>Objective: </strong>Using 2015-2016 randomized survey data, we measured lead and radon knowledge, awareness, and exposure avoidance practices.</p><p><strong>Setting: </strong>Home buyers from 4 US states (Illinois, Minnesota, North Carolina, and Ohio).</p><p><strong>Participants: </strong>477 recent, single-family pre-1978 dwelling home buyers.</p><p><strong>Main outcome measure(s): </strong>Predictors of the home buyer decision to purchase the home during the entire home buying experience based on their understanding of health issues related to lead-based paint and radon exposure.</p><p><strong>Results: </strong>Personal networks (22%) and real estate agents (21%) were the most common sources of health-related lead information. Many home buyers (77%) reported that their awareness of lead did not affect their purchasing decision, and 78% could not confirm that their homes were tested for lead. Respondents who understood lead-related health effects were 5.4 times more likely (95% CI, 1.7-17.5) to have their decision to buy a home affected when their real estate agent discussed lead-based paint issues. Many home buyers reported either they did not remember (37%) or did not sign (20%) the federal law requirement that property owners reveal known lead paint hazards to prospective buyers before a property is sold. Home buyers with awareness of health issues caused by radon were 1.7 times (95% CI, 1.4-2.1) more likely than those who understood lead-related health issues to have their decision to buy the home affected.</p><p><strong>Conclusion: </strong>Real estate agents play an important role to increase awareness of potential lead-based paint health issues when people buy older homes. Home buyer knowledge, awareness, and practice of radon exposure prevention was greater compared to lead exposure prevention. More than half of home buyers did not sign or remember signing lead disclosure paperwork.</p>","PeriodicalId":47855,"journal":{"name":"Journal of Public Health Management and Practice","volume":" ","pages":"E282-E296"},"PeriodicalIF":2.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141471607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Father Engagement in Home Visiting: Findings From a Continuous Quality Improvement Learning Collaborative.","authors":"Amy E Treat, Helen Milojevich, David Bard","doi":"10.1097/PHH.0000000000001972","DOIUrl":"10.1097/PHH.0000000000001972","url":null,"abstract":"<p><p>The present study describes the efforts of a home visiting (HV) continuous quality improvement learning collaborative aimed at increasing father engagement in HV and parenting. Local implementing agencies (n   = 11) delivering 3 evidence-based HV models participated in the collaborative. Each agency developed and implemented 3 rapid-cycle Plan-Do-Study-Act (PDSA) projects to increase father engagement. Specific, Measurable, Achievable, Realistic, Time-bound (SMART) aims were used to guide development of change strategies and meaningful measurement goals. HV providers collected data from enrolled families (n   = 714) about fathers' level of parenting and HV involvement. Mean father engagement scores increased 39% from the first to the second assessment and over 60% of the PDSAs met or exceeded their SMART aim goal. Data suggest that fathers are open to participating in HV and are responsive to parenting guidance. In the current paper, we share engagement strategies and lessons learned during the collaborative.</p>","PeriodicalId":47855,"journal":{"name":"Journal of Public Health Management and Practice","volume":" ","pages":"906-910"},"PeriodicalIF":2.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141910141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Project SIGNAL: A Dashboard for Supporting Community Confidence in Making Data-Driven Decisions.","authors":"Maxwell Krieger, Sam Bessey, Salma Abadin, Wajiha Akhtar, Sarah Bowman, Sheila DiVincenzo, Ellen Duong, JoAnna House, Evelyn Lai, Jennifer Latham, Carolyn Park, Claire Pratty, Blaise Rein, Katie St Amand, Jesse Yedinak Gray, Michelle Wilson, William Goedel","doi":"10.1097/PHH.0000000000001967","DOIUrl":"10.1097/PHH.0000000000001967","url":null,"abstract":"<p><strong>Context: </strong>Data dashboards have emerged as critical tools for surveillance and informing resource allocation. Despite their utility and popularity during COVID-19, there is a growing need to understand what tools and training are tailored to nonprofit community-based organizations that may partner with public health officials.</p><p><strong>Program: </strong>In June 2021, the Rhode Island Department of Health and Brown University partnered to create Project SIGNAL (Spatiotemporal Insights to Guide Nuanced Actions Locally), which utilizes spatiotemporal analytics to identify Rhode Island's largest disparities in COVID-19-related outcomes (eg, testing, diagnosis, vaccinations) at the neighborhood level. Results were hosted in an interactive online dashboard (signal-ri.org) designed using principles of the CDC Clear Communication Index. The target audience included a network of 15 geographic areas called Health Equity Zones, funded by the health department to provide critical grassroots public health programs to address social, health, and economic outcomes in their communities.</p><p><strong>Implementation: </strong>To disseminate the dashboard, a 6-hour virtual workshop series was created to train leaders to use the dashboard and increase their confidence in understanding common public health data terminology and concepts and better prepare attendees for rapid decision making during future public health emergencies.</p><p><strong>Evaluation: </strong>The Project SIGNAL dashboard was launched in August 2022 and has been accessed over 7500 times. A total of 84 community leaders were trained to use this dashboard, increasing their confidence in applying common public health metrics to make decisions about their COVID-19-related activities.</p><p><strong>Discussion: </strong>While several studies have outlined best practices for data dashboards, this is among the first to examine incorporating these practices into a spatiotemporal decision tool designed specifically for community organizations. Project SIGNAL demonstrates that by incorporating design best practices and pairing data dashboards with hands-on training, we can empower community leaders to utilize advanced spatiotemporal methods to identify health disparities and take localized action.</p>","PeriodicalId":47855,"journal":{"name":"Journal of Public Health Management and Practice","volume":" ","pages":"895-905"},"PeriodicalIF":2.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gerrymandering and the Packing and Cracking of Medical Uninsurance Rates in the United States.","authors":"Tamara Rushovich, Rachel C Nethery, Ariel White, Nancy Krieger","doi":"10.1097/PHH.0000000000001916","DOIUrl":"10.1097/PHH.0000000000001916","url":null,"abstract":"<p><strong>Context: </strong>Technological innovation and access to big data have allowed partisan gerrymandering to increase dramatically in recent redistricting cycles.</p><p><strong>Objective: </strong>To understand whether and how partisan gerrymandering, including \"packing\" and \"cracking\" (ie, respectively concentrating within or dividing specified social groups across political boundaries), distorts understanding of public health need when health statistics are calculated for congressional districts (CDs).</p><p><strong>Design: </strong>Cross-sectional study using 2020 CDs and nonpartisan simulated districts.</p><p><strong>Setting: </strong>United States, 2017-2021.</p><p><strong>Participants: </strong>United States residents.</p><p><strong>Main outcome measure: </strong>Percent with no medical insurance (uninsured), within-district variance of percent uninsured, and between-district variance of percent uninsured.</p><p><strong>Results: </strong>At the state level, states where partisan redistricting plans showed greater evidence of partisan gerrymandering were more likely to contain CDs with more extreme values of uninsurance rates than districts in states with less evidence for gerrymandering (association between z-scores for gerrymandering and between-district variation in uninsurance = 0.25 (-0.04, 0.53), P  = .10). Comparing variation in uninsurance rates for observed CDs vs nonpartisan simulated districts across all states with more than 1 CD, in analyses stratified by state gerrymander status (no gerrymander, Democratic gerrymander, and Republican gerrymander), we found evidence of particularly extreme distortion of rates in Republican gerrymandered states, whereby Republican-leaning districts tended to have lower uninsurance rates (the percentage of Republican-leaning districts that were significantly lower than nonpartisan simulated districts was 5.1 times that of Democratic-leaning districts) and Democrat-leaning districts had higher uninsurance rates (the percentage of Democrat-leaning districts that were significantly higher than nonpartisan simulated districts was 3.0 times that of Republican-leaning districts).</p><p><strong>Conclusions: </strong>Partisan gerrymandering can affect determination of CD-level uninsurance rates and distort understanding of public health burdens.</p>","PeriodicalId":47855,"journal":{"name":"Journal of Public Health Management and Practice","volume":" ","pages":"832-843"},"PeriodicalIF":2.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategic Workforce Analysis: Identifying Skills and Gaps Among Frontline Public Health Workers Amidst Transformation.","authors":"Harshada Karnik, Danielle J Zemmel, Phoebe K G Kulik, Laura E Power, Jonathon P Leider","doi":"10.1097/PHH.0000000000002006","DOIUrl":"10.1097/PHH.0000000000002006","url":null,"abstract":"<p><strong>Objective: </strong>Recent shifts in public health (PH) include consistent budget cuts, workforce attrition, and loss of vital skills and institutional knowledge followed by heightened pandemic-driven attention, new responsibilities, and renewed funding. This study investigates whether frontline employees working in different types of public health departments have different educational characteristics and whether these characteristics are associated with differentials in skill gaps toward informing targeted interventions to nurture a competitive workforce.</p><p><strong>Methods: </strong>Utilizing 2021 Public Health Workforce Interests and Needs Survey (PH WINS) data, we document variations in educational qualifications, skill gaps, and workforce characteristics among frontline workers in different sizes of health departments and examine attributes associated with skill gaps: level and field of education, years of experience, program areas, and job classifications using a negative binomial model.</p><p><strong>Results: </strong>Skill gaps in resource management, systems and strategic thinking, and change management persist across all local health departments (LHDs), but the extent of these gaps is greater in small LHDs. Small LHDs also have few employees with graduate and public health degrees. Additionally, whereas public health degrees were not associated with fewer skill gaps, tenure in public health was, suggesting people learn on the job.</p><p><strong>Conclusion: </strong>The results highlight the role regional training centers can play in emphasizing the need for strategic skills and foundational public health concepts, as well as customizing training content by agency size and educational levels to improve accessibility, particularly for small LHDs with resource constraints.</p>","PeriodicalId":47855,"journal":{"name":"Journal of Public Health Management and Practice","volume":" ","pages":"E297-E305"},"PeriodicalIF":2.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141789487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data to Care Pilot Program in Chicago: Experience, Outcomes, and Direction for the Future.","authors":"Jessica Schmitt, Samantha A Devlin, Joseph A Mason, Jeff Lauritsen, Irina Tabidze, Eleanor E Friedman, Ruby A Massey, Nolan Winkler, Jessica P Ridgway","doi":"10.1097/PHH.0000000000001918","DOIUrl":"10.1097/PHH.0000000000001918","url":null,"abstract":"<p><strong>Context: </strong>Data to Care (D2C) involves sharing HIV surveillance data between health care facilities and health departments to improve continuity of care for people living with HIV (PLWH). The Chicago Department of Public Health (CDPH) initiated a D2C pilot program at the University of Chicago Medicine (UCM) from June 2016 to September 2019.</p><p><strong>Objectives: </strong>To describe the proportion of patients reported by UCM as not in care who were able to be matched to CDPH enhanced HIV/AIDS Reporting System (eHARS) and to report the individual-level factors associated with matching and viral suppression.</p><p><strong>Design: </strong>Retrospective program evaluation.</p><p><strong>Setting: </strong>UCM, an academic health care center that provides HIV care to adults via a Ryan White clinic on the south side of Chicago.</p><p><strong>Participants: </strong>Adult PLWH who had received care at UCM but did not have current documented HIV care visit(s).</p><p><strong>Main outcome measure: </strong>Proportion of matched patients; factors associated with matching and viral suppression.</p><p><strong>Results: </strong>Overall, 72.4% (n = 813/1123) of patients reported by UCM were matched by CDPH to eHARS. Individuals aged 40 to 49 years (odds ratio [OR] = 1.99; 95% confidence interval [CI], 1.10-3.62), 50 to 59 years (OR = 2.47; 95% CI, 1.37-4.47), and 60 years or older (OR = 6.18; 95% CI, 3.18-12.32) were more likely to match in eHARS. People who lived outside of Chicago (OR = 0.09; 95% CI, 0.05-0.15) or with unknown zip codes (OR = 0.08; 95% CI, 0.05-0.12) were less likely to match. Men who have sex with men and persons older than 50 years were more likely to be virally suppressed.</p><p><strong>Conclusions: </strong>D2C is an evidence-based strategy for reengagement of PLWH; however, program implementation relies on successful data matching. We found that a large proportion of patients from UCM were not matched, particularly those who were younger or lived outside of Chicago. Additional research is needed to understand ways to improve data matching to facilitate reengagement in HIV care.</p>","PeriodicalId":47855,"journal":{"name":"Journal of Public Health Management and Practice","volume":" ","pages":"844-852"},"PeriodicalIF":2.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141477742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving Data-Driven Decision Making for Primary Prevention: Providing Data Interpretation Resources to Schools and Communities in Colorado.","authors":"Erin Wright-Kelly, Andrew MacFarland, Emily Fine, Marc Morgan, Ashley Brooks-Russell","doi":"10.1097/PHH.0000000000001932","DOIUrl":"10.1097/PHH.0000000000001932","url":null,"abstract":"<p><p>Communities are increasingly interested in primary prevention efforts to reduce health inequities. However, few communities can access local data on social determinants of health and many do not have the skills or training to interpret data to inform decision making on appropriate strategies that impact social determinants of health. A population-based youth health survey administered to middle and high school students, such as exists in most states in the United States, can assess health behaviors and risk and protective factors. The schools and school districts that participate are provided with reports of results and data interpretation resources that support their understanding of risk and protective factors to inform local decision making and action. Other states can similarly provide local data and resources on risk and protective factors to help communities collaborate on primary prevention efforts that achieve health equity.</p>","PeriodicalId":47855,"journal":{"name":"Journal of Public Health Management and Practice","volume":" ","pages":"E353-E357"},"PeriodicalIF":2.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141724770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}