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1.
Sex Transm Dis ; 50(5): 252-257, 2023 05 01.
Article in English | MEDLINE | ID: mdl-36631063

ABSTRACT

BACKGROUND: Each year, Florida Department of Health staff process hundreds of thousands of electronically received laboratory results for chlamydia (CT) and gonorrhea (GC). These processing steps are currently performed manually in Florida's surveillance system and divert from other sexually transmitted disease prevention efforts. We developed processes that would automate these procedures and evaluated the impact on potential programmatic time savings. METHODS: We evaluated 575,952 electronic CT/GC laboratory results from January 2019 to December 2021. Laboratory results were processed through the newly automated procedures and algorithms. Expected time savings were projected using conservative estimates of 1 minute saved every time an automated process replaced a current manual procedure: profile matching, profile creation, event record creation, case review, and case reporting. Exceptions to automatic case reporting applied to certain higher-priority populations needing intervention. RESULTS: During this period, 297,348 electronic CT/GC laboratory results were received for people with no previous recorded history of sexually transmitted diseases and required profile creation. In total, 386,763 new surveillance infection records were created for reporting. Of reported cases, 127,345 were from higher-priority groups. The proposed automations would have saved an estimated 33,121 hours of staff time, about 11,040 hours or the work of 5.3 full-time staff annually. CONCLUSIONS: Automating current CT/GC laboratory processing would save thousands of personnel hours that could be redirected to higher-priority activities. Flexibility in prioritization criteria for automated case reporting allows programs to adjust automation to disease prevention priorities and resources. Similar automation procedures could be developed by other jurisdictions or health programs.


Subject(s)
Chlamydia Infections , Chlamydia , Gonorrhea , Sexually Transmitted Diseases , Humans , Gonorrhea/diagnosis , Gonorrhea/epidemiology , Gonorrhea/prevention & control , Florida/epidemiology , Chlamydia Infections/diagnosis , Chlamydia Infections/epidemiology , Chlamydia Infections/prevention & control , Sexually Transmitted Diseases/diagnosis , Sexually Transmitted Diseases/epidemiology , Sexually Transmitted Diseases/prevention & control
2.
Am J Orthod Dentofacial Orthop ; 152(2): 171-177, 2017 Aug.
Article in English | MEDLINE | ID: mdl-28760279

ABSTRACT

INTRODUCTION: Tobacco use is related to increased periodontal disease, tooth loss, and decreased success of orthodontic appliances, and it may inhibit orthodontic tooth movement. Most smokers start during adolescence. Since most cessation attempts fail, prevention appears necessary. METHODS: A cross-sectional sample of orthodontic patients reported hypothesized risk factors for smoking and susceptibility to tobacco use initiation. Exploratory analyses regressed susceptibility to tobacco initiation on each hypothesized predictor variable in a separate logistic model that included a standard set of covariates. RESULTS: Significant odds ratios (OR) were found for the presence of a smoker in the home (OR, 2.168; 95% confidence interval [CI], 1.144-4.107), a friend having no-smoking rules in his or her home and car (OR, 0.337; 95% CI, 0.128-0.886), having been offered a cigarette (OR, 4.526; 95% CI, 1.190-17.207), and exposure to tobacco advertisements (OR, 1.910; 95% CI, 1.044-3.496). CONCLUSIONS: Peer, family, and environmental factors appear to increase children's susceptibility to smoking in orthodontic populations. Attention to such factors could help dental clinicians to more effectively identify susceptible young patients in need of antismoking advice. Prospective and experimental studies are required to confirm the role that dental clinicians might play in youth smoking prevention.


Subject(s)
Orthodontics/statistics & numerical data , Smoking Prevention , Adolescent , Advertising , Child , Cross-Sectional Studies , Family/psychology , Female , Humans , Male , Orthodontics/methods , Peer Group , Risk Factors , Smoking/psychology
3.
Front Public Health ; 4: 291, 2016.
Article in English | MEDLINE | ID: mdl-28119907

ABSTRACT

Gun violence is related to substantial morbidity and mortality with surrounding discussions framed and shaped by the media. This study's objective was to explore national news media's reporting of gun violence around a mass shooting. National news pieces were coded according to categories of gun violence, media frames, entities held responsible, responses, and reporting of the public heath approach. Individuals were held responsible for gun violence in 63% of pieces before and 32% after the shooting. Lawmakers were held responsible in 30% of pieces before and 66% after. Background checks were a proposed gun violence prevention method in 18% of pieces before and 55% after Sandy Hook, and lethality reduction of firearms was in 9% before and 57% after. Following a mass shooting, the media tended to hold government, not individuals, primarily responsible. The media often misrepresented the real picture of gun violence and key public health roles.

4.
Crisis ; 35(1): 51-9, 2014.
Article in English | MEDLINE | ID: mdl-24121153

ABSTRACT

BACKGROUND: Suicide is a leading cause of death in the United States. Social media such as Twitter is an emerging surveillance tool that may assist researchers in tracking suicide risk factors in real time. AIMS: To identify suicide-related risk factors through Twitter conversations by matching on geographic suicide rates from vital statistics data. METHOD: At-risk tweets were filtered from the Twitter stream using keywords and phrases created from suicide risk factors. Tweets were grouped by state and departures from expectation were calculated. The values for suicide tweeters were compared against national data of actual suicide rates from the Centers for Disease Control and Prevention. RESULTS: A total of 1,659,274 tweets were analyzed over a 3-month period with 37,717 identified as at-risk for suicide. Midwestern and western states had a higher proportion of suicide-related tweeters than expected, while the reverse was true for southern and eastern states. A strong correlation was observed between state Twitter-derived data and actual state age-adjusted suicide data. CONCLUSION: Twitter may be a viable tool for real-time monitoring of suicide risk factors on a large scale. This study demonstrates that individuals who are at risk for suicide may be detected through social media.


Subject(s)
Risk Assessment/methods , Social Media , Suicide/statistics & numerical data , Humans , Risk Factors , United States/epidemiology , Suicide Prevention
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