Assessing the Congregate Disaster Shelter: Using Shelter Facility Assessment Data for Evaluating Potential Hazards to Occupants During Disasters.

Disaster shelter assessments are environmental health assessments conducted during disaster situations to evaluate the living environment of shelters for hygiene, sanitation, and safety conditions. We conducted a secondary data analysis of shelter assessment records available (n = 108) on ice storms, floods, and tornado events from 1 state jurisdiction. Descriptive statistics were used to analyze results of environmental health deficiencies found in the facilities. The greater numbers of environmental health deficiencies were associated with sanitation (26%), facility physical issues (19%), and food areas (17%). Most deficiencies were reported following ice storms, tornadoes, and flood events. This report describes the first analysis of environmental health deficiencies found in disaster shelters across a spectrum of disaster events. Although the number of records analyzed for this project was small and results may not be generalizable, this new insight into the living environment in shelter facilities offers the first analysis of deficiencies of the shelter operation and living environment that have great potential to affect the safety and health of shelter occupants.

Assessment of mental wellbeing of university students in Bangladesh using Goldberg's GHQ-12: A cross-sectional study.

Background and Aims: The mental well-being of university students is a primary public health concern worldwide, including in Bangladesh. The objective of this study was to determine the prevalence of the overall mental health status among Bangladeshi university students. The study used larger and more diverse sample compared to previous studies, and also explored factors associated with the mental health well-being of those students. Methods: Data were collected through an online questionnaire, utilizing the proportional allocation method, from students in various universities across Bangladesh. The sample included 2036 participants. The study applied Goldberg's General Health Questionnaire (GHQ-12) using the GHQ2+ threshold (i.e., having more than two symptoms). A binary outcome variable was created with two levels: "good mental health" and "poor mental health," to assess the mental health status of the university students. The explanatory variables were age, gender, academic year, type of university, and sources of personal expenses. Exploratory data analysis, association tests, and binary logistic regression models were used to identify factors influencing the outcome variable. Results: A total of 55.9% of students (male: 52.6% and female: 62.8%) exhibited poor mental health status. Female students' mental health was found to be worse (odds ratio [OR]: 1.49, 95% confidence interval [CI]: 1.23-1.81) compared to that of males. Similarly, public university students displayed a worse mental health condition than their counterparts in private universities (OR: 1.29, 95% CI: 1.03-1.61). Conclusion: The overall mental health of university students in Bangladesh is concerning. There is a pressing need for effective mental health policies and interventions to bolster the mental well-being of university students, with a specific focus on students from public universities and females.

Prevalence and factors associated with overweight and obesity in Kenya.

Overweight and obesity rates continue to rise globally and are associated with increased chronic disease morbidity and mortality. There is evidence of high overweight and obesity prevalence in Kenya, however; a gap exists in the knowledge of national prevalence and predictors of overweight and obesity. This cross-sectional study examined data from the 2015 World Health Organization (WHO) Kenya STEPwise Survey-the first nationally representative survey to objectively measure body mass index (BMI) among Kenyan men and women. Descriptive and logistic regression analysis of 4,340 adults aged 18-69 years examined the prevalence, sociodemographic, and behavioral risk factors associated with having overweight or obesity (overweight/obesity) defined by WHO The mean BMI was 23.51 with 31.13% having overweight/obese. The likelihood of having overweight/obesity was significantly higher among married individuals [odds ratio (OR) = 1.78, 95% confidence interval (CI) 1.19, 2.66], women (OR = 4.08, 95% CI 3.02, 5.51), urban dwellers (OR = 1.70, 95% CI 1.28, 2.25) and middle wealth or higher (OR = 2.45, 95% CI 1.91, 3.14). The likelihood of having overweight/obesity increased by age, compared to 18-29-year olds; (30-44 years (OR = 2.05 95% CI 1.50, 2.80), 45-59-year olds (OR = 2.67, 95% CI 1.97, 3.63), 60-69-year olds (OR = 3.00, 95% CI 1.99, 4.51). Adults with completed primary education or more had higher odd of having overweight/obesity (OR = 2.15, 95% CI 1.72, 2.70). compared to adults with less than primary education. Likelihood of having Overweight/obesity was highest among women, urban residents, and individuals with high education and wealth. Future studies should ascertain drivers of overweight/obesity to inform Targeted and tailored interventions and policies amongst high-risk groups.

Ultrasound of Optic Nerve Sheath Diameter and Stroke Outcomes.

We aimed at utilizing ocular ultrasound to determine its utility in predicting outcomes among stroke patients. DESIGN: Single-center prospective observational study. SETTING: Emergency department and ICUs. PATIENTS: Patients suspected of stroke. INTERVENTIONS: None. MEASURES AND MAIN RESULTS: Bilateral optic nerve sheath diameter was measured on arrival and within the first 2 days of admission. Outcomes were inpatient survival, Cerebral Performance Category, and modified Rankin Scale at 3 and 6 months. Analysis was conducted using descriptive statistics, paired t test, chi-square test. Eighty-six patients were enrolled with ischemic or hemorrhagic stroke. Mean age was 67.2 years (± 15 yr), and 54.7% of patients were male. There was no difference between left and right eye measurements (p = 0.467 and p = 0.903, respectively) or between longitudinal and transverse measurements (transverse p = 0.163 and longitudinal p = 0.270). Mean optic nerve sheath diameter differed in patients who survived versus died prior to discharge in both ischemic (0.53 vs 0.58 cm; p = 0.009) or hemorrhagic stroke (0.57 vs 0.62 cm; p = 0.019). For every 0.1 cm increase in optic nerve sheath diameter, odds ratio for death were 4.2 among ischemic stroke (95% CI, 1.32-13.64; p = 0.015), and odds ratio 6.2 among ischemic or hemorrhagic patients (95% CI, 1.160-33.382; p = 0.033). Increased optic nerve sheath diameter correlated (r = 0.44; p < 0.0001) with poor functional outcomes measured as modified Rankin Scale scores of 3-6 at 6 months. CONCLUSIONS: Elevations in optic nerve sheath diameter were associated with increased inhospital mortality and poor functional outcome at 6 months. Optic nerve sheath diameter may serve as a noninvasive marker of inhospital mortality and functional outcome. Further multicenter prospective trials for evaluating and treating optic nerve sheath diameter in ischemic and hemorrhagic strokes are warranted.

Using an Online Vaccination Registry to Confirm Tetanus Status in Children with Tetanus-prone Wounds.

INTRODUCTION: Tetanus vaccination status is an important consideration for emergency physicians managing patients with tetanus-prone wounds. Physicians must identify at-risk patients, but vaccination histories are often unknown and commonly lack documentation. The study objective was to determine the potential impact of an online immunization registry (Florida SHOTS - State Health Online Tracking System) on the appropriate administration of tetanus prophylaxis for pediatric patients managed in the emergency department (ED). METHODS: We conducted a retrospective review of all patients less than 18 years old who received ED tetanus prophylaxis at two separate sites between January 2011-May 2015. The Florida SHOTS database was accessed to determine vaccination status for each patient in the study group at the time of the encounter. We compared vaccination status for each patient, as documented in the electronic health record (EHR), with Florida SHOTS data to determine whether tetanus prophylaxis was indicated. The proportion of patients receiving tetanus prophylaxis in the ED, who were subsequently identified as up to date with tetanus vaccination per Florida SHOTS, was determined. RESULTS: We identified 743 patients who received ED tetanus prophylaxis. Forty-three (6%) were listed as "up to date" on the EHR and 656 (93%) were listed as "not up to date." In comparison, 209 (30%) of the study group were identified as "up to date" via Florida SHOTS, and 477 (70%) were not. We accessed the Florida SHOTS record retrospectively to determine whether the vaccine was required. It was determined that 174 (25%) of the patients received tetanus prophylaxis unnecessarily as they were already up to date per Florida SHOTS documentation. CONCLUSION: Twenty-five percent of patients vaccinated for tetanus in the ED could have been spared if Florida SHOTS data had been used by providers at the time of the encounter. Access to Florida SHOTS provides valuable information regarding vaccination status that impacts patient care and resource utilization in the ED.

Methods to control for unmeasured confounding in pharmacoepidemiology: an overview.

Background Unmeasured confounding is one of the principal problems in pharmacoepidemiologic studies. Several methods have been proposed to detect or control for unmeasured confounding either at the study design phase or the data analysis phase. Aim of the Review To provide an overview of commonly used methods to detect or control for unmeasured confounding and to provide recommendations for proper application in pharmacoepidemiology. Methods/Results Methods to control for unmeasured confounding in the design phase of a study are case only designs (e.g., case-crossover, case-time control, self-controlled case series) and the prior event rate ratio adjustment method. Methods that can be applied in the data analysis phase include, negative control method, perturbation variable method, instrumental variable methods, sensitivity analysis, and ecological analysis. A separate group of methods are those in which additional information on confounders is collected from a substudy. The latter group includes external adjustment, propensity score calibration, two-stage sampling, and multiple imputation. Conclusion As the performance and application of the methods to handle unmeasured confounding may differ across studies and across databases, we stress the importance of using both statistical evidence and substantial clinical knowledge for interpretation of the study results.