Preventing Chronic Disease最新文献

{"title":"Chronic Disease Indicators: 2022-2024 Refresh and Modernization of the Web Tool.","authors":"Kathleen B Watson, Susan A Carlson, Hua Lu, Karen G Wooten, Magdalena M Pankowska, Kurt J Greenlund","doi":"10.5888/pcd21.240109","DOIUrl":"10.5888/pcd21.240109","url":null,"abstract":"<p><p>Easy access and display of state-level estimates of the prevalence of chronic diseases and their risk factors can guide evidence-based decision-making, policy development, and tailored efforts to improve population health outcomes; however, these estimates are often presented across multiple websites and reports. The Chronic Disease Indicators (CDI) web tool (www.cdc.gov/cdi) disseminates state-level data compiled from various data sources, including surveys, vital records, and administrative data, and applies standardized definitions to estimate and track a wide range of key indicators of chronic diseases and their risk factors. In 2022-2024, the indicators were refreshed to include 113 measures across 21 topic areas, and the web tool was modernized to enhance its key features and functionalities, including standardized indicator definitions; interactive charts, graphs, and maps that present data in a visually appealing format; an easy-to-use web-based interface for users to query and extract the data they need; and state comparison reports to identify geographic variations in disease and risk factor prevalence. National and state-level estimates are provided for the overall population and, where applicable, by sex, race and ethnicity, and age. We review the history of CDIs, describe the 2022-2024 refresh process, and explore the interactive features of the CDI web tool with the goal of demonstrating how practitioners, policymakers, and other users can easily examine and track a wide range of key indicators of chronic diseases and their risk factors to support state-level public health action.</p>","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"21 ","pages":"E46"},"PeriodicalIF":4.4,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11192494/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141433311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Supporting Local Public Health and Planning Professionals to Implement Built Environment Changes: A Technical Assistance Program to Promote Physical Activity in Texas.","authors":"Caroline Magee, Cari Browning, Ronald Stokes-Walters, Lauren Maxwell, Justin Buendia, Nimisha Bhakta","doi":"10.5888/pcd21.230420","DOIUrl":"10.5888/pcd21.230420","url":null,"abstract":"<p><p>Built environment approaches that improve active transportation infrastructure and environmental design can increase physical activity. Funded by the Centers for Disease Control and Prevention, the Texas Department of State Health Services rejuvenated the Texas Plan4Health program from 2018 to 2023 to expand such approaches in Texas by providing technical assistance to teams of local public health professionals and planners to identify and implement projects connecting people to everyday destinations via active transport in their communities. However, the COVID-19 pandemic prompted Texas Plan4Health to modify the delivery of technical assistance to accommodate restrictions on travel and in-person gatherings. We used qualitative methods to conduct a postintervention process evaluation to describe the modified technical assistance process, understand the experiences of the 4 participating communities, and identify short-term outcomes and lessons learned. Texas Plan4Health helped communities overcome common barriers to built environment change, facilitated collaboration across community public health and planning professionals, and educated professionals about active transportation infrastructure and the relationship between their disciplines, thereby increasing community capacity to implement built environment improvements. This outcome, however, was mediated by the pre-existing resources and previous experiences with active transportation planning among the participating communities. Public health practitioners seeking to improve active transportation infrastructure and environmental design for physical activity should consider community-engaged approaches that advance partnership-building and collaborative experiential education among public health, planning, and other local government representatives, directing particular attention and additional training toward communities with fewer resources.</p>","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"21 ","pages":"E45"},"PeriodicalIF":4.4,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11192492/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141433312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of Multi-State EHR-Based Network for Disease Surveillance (MENDS) Data and Implications for Improving Data Quality and Representativeness.","authors":"Katherine H Hohman, Michael Klompas, Bob Zambarano, Hilary K Wall, Sandra L Jackson, Emily M Kraus","doi":"10.5888/pcd21.230409","DOIUrl":"10.5888/pcd21.230409","url":null,"abstract":"<p><strong>Introduction: </strong>Surveillance modernization efforts emphasize the potential use of electronic health record (EHR) data to inform public health surveillance and prevention. However, EHR data streams vary widely in their completeness, accuracy, and representativeness.</p><p><strong>Methods: </strong>We developed a validation process for the Multi-State EHR-Based Network for Disease Surveillance (MENDS) pilot project to identify and resolve data quality issues that could affect chronic disease prevalence estimates. We examined MENDS validation processes from December 2020 through August 2023 across 5 data-contributing organizations and outlined steps to resolve data quality issues.</p><p><strong>Results: </strong>We identified gaps in the EHR databases of data contributors and in the processes to extract, map, integrate, and analyze their EHR data. Examples of source-data problems included missing data on race and ethnicity and zip codes. Examples of data processing problems included duplicate or missing patient records, lower-than-expected volumes of data, use of multiple fields for a single data type, and implausible values.</p><p><strong>Conclusion: </strong>Validation protocols identified critical errors in both EHR source data and in the processes used to transform these data for analysis. Our experience highlights the value and importance of data validation to improve data quality and the accuracy of surveillance estimates that use EHR data. The validation process and lessons learned can be applied broadly to other EHR-based surveillance efforts.</p>","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"21 ","pages":"E43"},"PeriodicalIF":4.4,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11192496/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141318874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data for Decision Makers: Finding Policy, Systems, and Environmental Solutions for Public Health Problems.","authors":"Deborah A Galuska, Janet E Fulton, LaToya J O'Neal","doi":"10.5888/pcd21.240165","DOIUrl":"10.5888/pcd21.240165","url":null,"abstract":"","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"21 ","pages":"E44"},"PeriodicalIF":4.4,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11192493/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141318872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum, Volume 21, May 16 Release.","authors":"","doi":"10.5888/pcd21.230277e","DOIUrl":"10.5888/pcd21.230277e","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.5888/pcd21.230277.].</p>","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"21 ","pages":"E42"},"PeriodicalIF":4.4,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11192491/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141318873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reach and Weight Loss Among Comparison Group Participants Who Enrolled in the Active Intervention After a Diabetes Prevention Trial.","authors":"Tzeyu L Michaud, Cleo Zagurski, Kathryn E Wilson, Gwenndolyn C Porter, George Johnson, Paul A Estabrooks","doi":"10.5888/pcd21.230358","DOIUrl":"10.5888/pcd21.230358","url":null,"abstract":"<p><p>We examined participation rates, engagement, and weight-loss outcomes of comparison group participants in a diabetes prevention trial who enrolled in a digitally delivered diabetes prevention program (ie, an active intervention) after the original trial ended. We evaluated these outcomes by using the Wilcoxon signed-rank test and 1-sample z test. We found a high participation rate (73%) among comparison group participants and comparable weight-loss outcomes at 12 months (6.8 lb) after initiating participation in the active intervention relative to intervention group participants during the original trial. Findings support providing evidence-based interventions for comparison or control group participants post-trial. Findings also support examining the cost-effectiveness of post-trial interventions, regardless of the limitations of acquiring post-trial data on weight in an uncontrolled setting.</p>","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"21 ","pages":"E40"},"PeriodicalIF":4.4,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11192497/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141285351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Innovative Approach to Using Electronic Health Records Through Health Information Exchange to Build a Chronic Disease Registry in Michigan.","authors":"Olivia Barth, Beth Anderson, Kayla Jones, Adrienne Nickles, Kristina Dawkins, Akia Burnett, Krystal Quartermus","doi":"10.5888/pcd21.230413","DOIUrl":"10.5888/pcd21.230413","url":null,"abstract":"<p><p>Michigan's CHRONICLE, the Chronic Disease Registry Linking Electronic Health Record Data, is a near-real-time disease monitoring system designed to harness electronic health record (EHR) data and existing health information exchange (HIE) infrastructure for transformative public health surveillance. Strong evidence indicates that using EHR data in chronic disease monitoring will provide rapid insight over time on health care use, outcomes, and public health interventions. We examined the potential of EHR data for chronic disease surveillance through close collaboration with our statewide HIE network and 2 participating health systems. We describe the development of CHRONICLE, the promising findings from its implementation, the identified challenges, and how those challenges will inform the next steps in testing, refining, and expanding the system. By detailing our approach to developing CHRONICLE and the considerations and early steps required to build an innovative, EHR-based chronic disease registry, we aim to inform public health leaders and professionals on the value of EHR data for chronic disease surveillance. With systematic testing, evaluation, and enhancement, our goal for CHRONICLE, as a fully realized and comprehensive surveillance system, is to model how collaborative health information exchange can support evidence-based strategies, resource allocation, and precision in disease monitoring.</p>","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"21 ","pages":"E41"},"PeriodicalIF":4.4,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11192498/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141285350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Facilitators and Barriers to Passing Local Policies That Prohibit the Sale of Flavored Tobacco Products: Qualitative Analysis of Strategies Implemented by 36 Communities in California, 2017-2021.","authors":"Sarah Hellesen, Sue Haun, Melanie S Dove","doi":"10.5888/pcd21.230283","DOIUrl":"10.5888/pcd21.230283","url":null,"abstract":"<p><p>To reduce youth access to tobacco products, the California Tobacco Prevention Program funded local tobacco prevention programs from July 2017 through December 2021 to address its Communities of Excellence Indicator 3.2.9: \"the number of jurisdictions with a policy eliminating or restricting the sale and/or distribution of any mentholated cigarettes and other flavored tobacco products, and paraphernalia.\" We examined the strategies by which community coalitions attempted to limit the number of stores selling flavored tobacco across California. Thirty-six final evaluation reports (FERs) were used for our analysis. We examined certain elements or factors as primary areas of interest because of their apparent link to successful outcomes in analyses of FERs in the past. Over half (19 of 36) of FERs reported successfully passing at least 1 policy to regulate the sale of flavored tobacco products. Urban communities passed more policies (16 of 18) compared with rural communities (3 of 18). Successful campaigns tended to involve youth, demonstrate illegal sales to minors and public support for a ban, and identify a champion. Barriers included the COVID-19 pandemic, California wildfires, staffing shortages, and conservative political climates. This evaluation offers insights into the successes and challenges faced by local coalitions seeking policy changes for tobacco use prevention, which can be different for urban and rural communities. The evaluation also indicates the necessity of adopting flexible tactical plans for overcoming environmental factors that affected intervention and evaluation activities.</p>","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"21 ","pages":"E36"},"PeriodicalIF":5.5,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11155685/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141181483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of Menthol-Flavored Tobacco Products Among US Middle and High School Students: National Youth Tobacco Survey, 2022.","authors":"Monica E Cornelius, Andrea S Gentzke, Caitlin G Loretan, Nikki A Hawkins, Ahmed Jamal","doi":"10.5888/pcd21.230305","DOIUrl":"10.5888/pcd21.230305","url":null,"abstract":"<p><strong>Introduction: </strong>Menthol cigarettes have been associated with increased smoking initiation. Although numerous studies have focused on correlates of menthol cigarette smoking among youths, fewer studies have assessed the prevalence and correlates of overall menthol-flavored tobacco product use among middle and high school students.</p><p><strong>Methods: </strong>We analyzed 2022 National Youth Tobacco Survey data to estimate the prevalence of menthol-flavored tobacco product use among US middle and high school students who used tobacco products within the past 30 days. Characteristics associated with menthol-flavored tobacco product use were also examined.</p><p><strong>Results: </strong>Use of menthol-flavored tobacco products was reported by 23.8% of students who currently used any tobacco product and by 39.5% of students who currently used any flavored tobacco product. Among students who reported past 30-day use of a flavored tobacco product, characteristics associated with a higher prevalence of menthol-flavored tobacco product use included non-Hispanic White race and ethnicity, frequent tobacco product use, use of multiple tobacco products, wanting to use a tobacco product within the first 30 minutes of awakening, and craving tobacco products within the past 30 days.</p><p><strong>Conclusion: </strong>Unlike results of prior research focused on cigarette smoking among young people, prevalence of use of any menthol-flavored tobacco product was highest among non-Hispanic White youths. Any use of menthol-flavored tobacco products of any type (alone or in combination with other flavors) among young people may be associated with continued product use and symptoms of dependence.</p>","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"21 ","pages":"E37"},"PeriodicalIF":5.5,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11155684/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141181416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preventing Chronic Disease Collection: From Data to Action: National, State, and Local Efforts to End Menthol and Other Flavored Commercial Tobacco Product Use.","authors":"LaTisha L Marshall, Leslie Norman, Shyanika W Rose, Tung-Sung Tseng","doi":"10.5888/pcd21.240143","DOIUrl":"10.5888/pcd21.240143","url":null,"abstract":"","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"21 ","pages":"E39"},"PeriodicalIF":5.5,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11155687/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141181487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}