{"title":"Health System Interactions Moderate the Impact of Social Determinants of Health on Type 2 Diabetes Outcomes","authors":"M. Rockwell, John A Epling, Nataliya Brantly","doi":"10.1370/afm.21.s1.4002","DOIUrl":"https://doi.org/10.1370/afm.21.s1.4002","url":null,"abstract":"","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124633621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jacqueline B. Britz, Derek Chapman, Alicia Richards, Kristen O’Loughlin, Ashley Harrell, A. Krist, J. Lowe, Roy T. Sabo, Christine Bethune, Capwell E. Taylor
{"title":"Bright Spot Communities: Understanding Community-Level Protective Factors to Improve Opioid Outcomes in Virginia","authors":"Jacqueline B. Britz, Derek Chapman, Alicia Richards, Kristen O’Loughlin, Ashley Harrell, A. Krist, J. Lowe, Roy T. Sabo, Christine Bethune, Capwell E. Taylor","doi":"10.1370/afm.21.s1.4060","DOIUrl":"https://doi.org/10.1370/afm.21.s1.4060","url":null,"abstract":"","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130104646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Baumgardner, J. Kram, Caroline P Toberna, K. Heslin, H. William
Context: Legionella pneumophila, an environmentally acquired, intracellular bacterium, causes Legionnaires’ disease. Known to infect humans thr ough contaminated cooling towers and other built sources, there is preliminary evidence of associations with fresh waterways. A positive Legionella urine antigen test (LUAT) is diagnostic of L. pneumophila infection. Objective: Identify further associations of Legionella infection and fresh waterways. Study Design: Case-control secondary analysis. Setting/Dataset/ Population Studied: Home address data from patients with LUAT at a single Eastern Wisconsin health system 2013 - 2017. We investigated ZIP codes in which there were 3 or more positive cases with 50 or more tests completed, as well as adjacent ZIP codes in which there were 2 or more positive cases and 50 or more tests completed. For every positive case within these identified ZIP codes, three random negative LUAT controls were also selected (1:3 ratio). Addresses were geocoded and mapped using ARC-GIS; nearest waterway and distance to home (ft.) was identified, then verified/corrected by use of Google Maps incognito. Waterway type was classified per Wisconsin DNR. Outcome Measures: Distance to nearest waterway was analyzed using Chi-squared and 2-sample t-tests. Results: Overall, 80 cases and 240 controls from 22 ZIP codes were included. Mean distance to nearest waterway did not differ between cases and controls (2958 +/- 2049 ft. vs. 2856 +/- 2018 ft.; p=0.701). Additionally, cases were no more likely than controls to be within 1320 ft. (1/4 mile) of waterway (31% v. 28%, p=0.571). When only the subset of four non-532xx (non-Milwaukee) ZIP codes were analyzed (total N=48 addresses), cases were significantly closer to nearest waterway than controls (1165 +/- 905 vs. 2113 +/- 1710 ft.; p=0.019). In addition, comparing the number of observed vs. expected cases, the non-532xx ZIP code group cases were disproportionately within 1320 ft. of waterway (8 v. 3.45, p=0.004). There were no associations identified with type of waterway. Conclusions: Additional studies are needed to determine if proximity to fresh waterways is consistently associated with Legionella infections in non-urban areas. Moreover, studies on the relative importance of fresh versus built environmental water sources in the acquisition of legionellosis is warranted.
背景:嗜肺军团菌是一种环境获得性的细胞内细菌，可引起军团病。已知通过受污染的冷却塔和其他建筑源感染人类，有初步证据表明与新鲜水道有关。阳性军团菌尿抗原试验(LUAT)是诊断嗜肺乳杆菌感染。目的:进一步确定军团菌感染与新鲜水源的关系。研究设计:病例对照二次分析。设置/数据集/研究人群:2013 - 2017年威斯康星州东部单一卫生系统LUAT患者的家庭住址数据。我们调查了有3例或以上阳性病例完成50例或以上检测的邮政编码，以及有2例或以上阳性病例完成50例或以上检测的邻近邮政编码。对于这些确定的邮政编码内的每个阳性病例，还选择三个随机阴性LUAT对照(1:3比例)。使用ARC-GIS对地址进行地理编码和映射;确定最近的水道和到家的距离(英尺)，然后通过使用谷歌地图隐身验证/纠正。水路类型根据威斯康星州DNR进行分类。结果测量:到最近水道的距离采用卡方检验和2样本t检验进行分析。结果:共纳入来自22个邮政编码的80例病例和240例对照。到最近航道的平均距离在病例和对照组之间没有差异(2958 +/- 2049英尺vs 2856 +/- 2018英尺;p = 0.701)。此外，病例并不比对照组更可能出现在距离水道1320英尺(1/4英里)范围内(31% vs 28%， p=0.571)。当仅分析四个非532xx(非密尔沃基)邮政编码的子集时(总N=48个地址)，病例明显比对照组更接近最近的水道(1165 +/- 905 vs. 2113 +/- 1710英尺;p = 0.019)。此外，比较观察到的病例数与预期的病例数，非532xx邮政编码组的病例在1320英尺的水道内不成比例(8 v. 3.45, p=0.004)。与水路类型没有关联。结论:需要进一步的研究来确定在非城市地区，靠近新鲜水道是否始终与军团菌感染有关。此外，有必要研究新鲜环境水源与人造环境水源在军团菌病感染中的相对重要性。
{"title":"Association of fresh waterways and legionella pneumophila infection in eastern wisconsin: A case-control study","authors":"D. Baumgardner, J. Kram, Caroline P Toberna, K. Heslin, H. William","doi":"10.1370/afm.20.s1.2588","DOIUrl":"https://doi.org/10.1370/afm.20.s1.2588","url":null,"abstract":"Context: Legionella pneumophila, an environmentally acquired, intracellular bacterium, causes Legionnaires’ disease. Known to infect humans thr ough contaminated cooling towers and other built sources, there is preliminary evidence of associations with fresh waterways. A positive Legionella urine antigen test (LUAT) is diagnostic of L. pneumophila infection. Objective: Identify further associations of Legionella infection and fresh waterways. Study Design: Case-control secondary analysis. Setting/Dataset/ Population Studied: Home address data from patients with LUAT at a single Eastern Wisconsin health system 2013 - 2017. We investigated ZIP codes in which there were 3 or more positive cases with 50 or more tests completed, as well as adjacent ZIP codes in which there were 2 or more positive cases and 50 or more tests completed. For every positive case within these identified ZIP codes, three random negative LUAT controls were also selected (1:3 ratio). Addresses were geocoded and mapped using ARC-GIS; nearest waterway and distance to home (ft.) was identified, then verified/corrected by use of Google Maps incognito. Waterway type was classified per Wisconsin DNR. Outcome Measures: Distance to nearest waterway was analyzed using Chi-squared and 2-sample t-tests. Results: Overall, 80 cases and 240 controls from 22 ZIP codes were included. Mean distance to nearest waterway did not differ between cases and controls (2958 +/- 2049 ft. vs. 2856 +/- 2018 ft.; p=0.701). Additionally, cases were no more likely than controls to be within 1320 ft. (1/4 mile) of waterway (31% v. 28%, p=0.571). When only the subset of four non-532xx (non-Milwaukee) ZIP codes were analyzed (total N=48 addresses), cases were significantly closer to nearest waterway than controls (1165 +/- 905 vs. 2113 +/- 1710 ft.; p=0.019). In addition, comparing the number of observed vs. expected cases, the non-532xx ZIP code group cases were disproportionately within 1320 ft. of waterway (8 v. 3.45, p=0.004). There were no associations identified with type of waterway. Conclusions: Additional studies are needed to determine if proximity to fresh waterways is consistently associated with Legionella infections in non-urban areas. Moreover, studies on the relative importance of fresh versus built environmental water sources in the acquisition of legionellosis is warranted.","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130919787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jacqueline M. Hirth, J. Langabeer, R. Zoorob, M. Hansen
{"title":"Changes in Primary Care Inbox Message Volume during COVID-19 Pandemic","authors":"Jacqueline M. Hirth, J. Langabeer, R. Zoorob, M. Hansen","doi":"10.1370/afm.21.s1.3440","DOIUrl":"https://doi.org/10.1370/afm.21.s1.3440","url":null,"abstract":"","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116840981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Frymire, V. DePaul, P. Gozdyra, Paul Nguyen, C. Donnelly
{"title":"Mapping of Primary Care and Health Care Utilization in Naturally Occurring Retirement Communities: Ontario, Canada","authors":"E. Frymire, V. DePaul, P. Gozdyra, Paul Nguyen, C. Donnelly","doi":"10.1370/afm.21.s1.3932","DOIUrl":"https://doi.org/10.1370/afm.21.s1.3932","url":null,"abstract":"","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133951533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Electronically-Delivered Push Notifications Improve Patient Adherence to Preventive Care: A Cohort Study","authors":"L. Lesser, Esha Datta","doi":"10.1370/afm.21.s1.4099","DOIUrl":"https://doi.org/10.1370/afm.21.s1.4099","url":null,"abstract":"","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115867496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Can a Patient Questionnaire Together with Staff Education Increase Diagnostics of Endometriosis in Primary Care?","authors":"C. Wikberg","doi":"10.1370/afm.21.s1.3533","DOIUrl":"https://doi.org/10.1370/afm.21.s1.3533","url":null,"abstract":"","PeriodicalId":247815,"journal":{"name":"Population health and epidemiology","volume":"448 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131580198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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