Hospital-Based Emergency Department Visits With Dental Conditions: Impact of the Medicaid Reimbursement Fee for Dental Services in New York State, 2009-2013

2018 ◽  
Vol 18 (2) ◽  
pp. 119-129 ◽  
Author(s):  
Sankeerth Rampa ◽  
Fernando A. Wilson ◽  
Hongmei Wang ◽  
Nizar K. Wehbi ◽  
Lynette Smith ◽  
...  
Author(s):  
Mengxuan Li ◽  
Benjamin A. Shaw ◽  
Wangjian Zhang ◽  
Elizabeth Vásquez ◽  
Shao Lin

Prior studies have reported the impact of ambient heat exposure on heat-related illnesses and mortality in summer, but few have assessed its effect on cardiovascular diseases (CVD) morbidity, and the association difference by demographics and season. This study examined how extremely hot days affected CVD-related emergency department (ED) visits among older adults from 2005–2013 in New York State. A time-stratified case-crossover design was used to assess the heat–CVD association in summer and transitional months (April–May and September–October). Daily mean temperature >95th percentile of regional monthly mean temperature was defined as an extremely hot day. Extremely hot days were found to be significantly associated with increased risk of CVD-related ED visits at lag day 5 (OR: 1.02, 95% CI: 1.01–1.04) and lag day 6 (OR: 1.01, 95% CI: 1.00–1.03) among older adults in summer after controlling for PM2.5 concentration, relative humidity, and barometric pressure. Specifically, there was a 7% increased risk of ischemic heart disease on the day of extreme heat, and increased risks of hypertension (4%) and cardiac dysrhythmias (6%) occurred on lag days 5 and 6, respectively. We also observed large geographic variations in the heat–CVD associations.


2017 ◽  
Vol 32 (4) ◽  
pp. 2058-2066
Author(s):  
Maria S. Altieri ◽  
Jie Yang ◽  
Chencan Zhu ◽  
Samer Sbayi ◽  
Konstantinos Spaniolas ◽  
...  

2017 ◽  
Vol 32 (3) ◽  
pp. 1209-1214 ◽  
Author(s):  
Maria S. Altieri ◽  
Jie Yang ◽  
Donald Groves ◽  
Nabeel Obeid ◽  
Jihye Park ◽  
...  

Author(s):  
Joyce C. Pressley ◽  
Leah M. Hines ◽  
Michael J. Bauer ◽  
Shin Ah Oh ◽  
Joshua R. Kuhl ◽  
...  

Rural areas of New York State (NYS) have higher rates of alcohol-related motor vehicle (MV) crash injury than metropolitan areas. While alcohol-related injury has declined across the three geographic regions of NYS, disparities persist with rural areas having smaller declines. Our study aim was to examine factors associated with alcohol-related MV crashes in Upstate and Long Island using multi-sourced county-level data that included the Crash Outcome Data Evaluation System (CODES) with emergency department visits and hospitalizations, traffic citations, demographic, economic, transportation, alcohol outlets, and Rural–Urban Continuum Codes (RUCCS). A cross-sectional study design employed zero-truncated negative binominal regression models to assess relative risks (RR) with 95% confidence interval (CI). Counties (n = 57, 56,000 alcohol-related crashes over the 3 year study timeframe) were categorized by mean annual alcohol-related MV injuries per 100,000 population: low (24.7 ± 3.9), medium (33.9 ± 1.7) and high (46.1 ± 8.0) (p < 0.0001). In multivariable analyses, alcohol-related MV injury was elevated for non-adjacent, non-metropolitan counties (RR 2.5, 95% CI: 1.6–3.9) with higher citations for impaired driving showing a small, but significant protective effect. Less metropolitan areas had higher alcohol-related MV injury with inconsistent alcohol-related enforcement measures. In summary, higher alcohol-related MV injury rates in non-metropolitan counties demonstrated a dose–response relationship with proximity to a metropolitan area. These findings suggest areas where intervention efforts might be targeted to lower alcohol-related MV injury.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Rebecca Schnall ◽  
Nan Liu

Study Objectives.In response to the 2010 New York State HIV testing law, we sought to understand the contextual factors that influence HIV testing rates in the emergency department (ED).Methods.We analyzed electronic health record logs from 97,655 patients seen in three EDs in New York City. We used logistic regression to assess whether time of day, day of the week, and season significantly affected HIV testing rates.Results.During our study period, 97,655 patients were evaluated and offered an HIV test. Of these, 7,763 (7.9%) agreed to be tested. Patients arriving between 6 a.m. and 7:59 p.m. were significantly (P<0.001) more likely to be tested for HIV, followed by patients arriving between 8:00 p.m. and 9:59 p.m. (P<0.01) and followed by patients arriving between 5–5:59 a.m. and 10–10:59 p.m. (P<0.05) compared to patients arriving at midnight. Seasonal variation was also observed, where patients seen in July, August, and September (P<0.001) were more likely to agree to be tested for HIV compared to patients seen in January, while patients seen in April and May (P<0.001) were less likely to agree to be tested for HIV.Conclusion.Time of day and season affect HIV testing rates in the ED, along with other factors such as patient acuity and completion of other blood work during the ED visit. These findings provide useful information for improving the implementation of an HIV testing program in the ED.


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