An evaluation of first responders' intention to refer to post-overdose services following SHIELD training.

BACKGROUND: First responders [law enforcement officers (LEO) and Fire/Emergency Medical Services (EMS)] can play a vital prevention role, connecting overdose survivors to treatment and recovery services. This study was conducted to examine the effect of occupational safety and harm reduction training on first responders' intention to refer overdose survivors to treatment, syringe service, naloxone distribution, social support, and care-coordination services, and whether those intentions differed by first responder profession. METHODS: First responders in Missouri were trained using the Safety and Health Integration in the Enforcement of Laws on Drugs (SHIELD) model. Trainees' intent to refer (ITR) overdose survivors to prevention and supportive services was assessed pre- and post-training (1-5 scale). A mixed model analysis was conducted to assess change in mean ITR scores between pre- and post-training, and between profession type, while adjusting for random effects between individual trainees and baseline characteristics. RESULTS: Between December 2020 and January 2023, 742 first responders completed pre- and post-training surveys. SHIELD training was associated with higher first responders' intentions to refer, with ITR to naloxone distribution (1.83-3.88) and syringe exchange (1.73-3.69) demonstrating the greatest changes, and drug treatment (2.94-3.95) having the least change. There was a significant increase in ITR score from pre- to post-test (ß = 2.15; 95% CI 1.99, 2.30), and LEO-relative to Fire/EMS-had a higher score at pre-test (0.509; 95% CI 0.367, 0.651) but a lower score at post-test (0.148; 95% CI - 0.004, 0.300). CONCLUSION: Training bundling occupational safety with harm reduction content is immediately effective at increasing first responders' intention to connect overdose survivors to community substance use services. When provided with the rationale and instruction to execute referrals, first responders are amenable, and their positive response highlights the opportunity for growth in increasing referral partnerships and collaborations. Further research is necessary to assess the extent to which ITR translates to referral behavior in the field.

Obtaining contextually relevant geographic data using Facebook recruitment in public health studies.

INTRODUCTION: Online participant recruitment for public health research studies has increased dramatically in recent years, particularly as traditional recruitment strategies have waned in efficiency. The emergence of e-epidemiology offers possibilities for reaching understudied populations as well as conducting large-scale studies. METHODS: We conducted a cross-sectional survey focused on self-reported neighborhood characteristics, perceived stress, and feasibility of obtaining work/residential addresses via online recruitment in St. Louis, Missouri, USA from February 2017 to December 2017. We report the process of using Facebook recruitment and demonstrate how this strategy can enhance collection of geospatial data to better understand context and spatial patterns of disease. RESULTS: A total of 425 participants were recruited via Facebook advertisements. All participants reported their residential and work ZIP codes, though only 64.7% and 45.6% provided their complete residential and work street addresses, respectively. Those who reported their complete residential street addresses were more likely to be female (69.8% vs. 56.1% of males, χ2 = 7.89, 1 df, p = 0.005), though no differences were observed by race, age, or employment status. DISCUSSION: These findings indicate that valuable location data can be successfully collected via Facebook recruitment - data that could potentially include residential history or prospective follow-up time or be combined with other emerging technologies for geographic data in order to better understand the context and the effects of place on health outcomes. CONCLUSIONS: Facebook recruitment may be an underutilized resource for obtaining accurate geospatial and contextually relevant health data and should be considered as a means for finding participants due to the cost-effectiveness, efficiency and flexibility of this recruitment approach.

I Do Not Even Say "It" - a Mixed Methods Study on Breast Cancer Awareness of Omani Women.

BACKGROUND: The incidence of breast cancer is rising in Oman, and the disease is diagnosed at late stages, when treatment success is limited. Omani women might benefit from better awareness, so that breast cancer can be detected early and treated. This study was conducted to assess Omani women's levels of breast cancer awareness and early detection practice, and explore factors which might influence these levels. MATERIALS AND METHODS: A mixed methods study was conducted in 2014, including a quantitative survey of 1,372 and a qualitative assessment of 19 Omani women, aged ≥20 years from five Omani governorates using convenient sampling. Demographic information and scores for awareness levels were used in a multivariate regression model to investigate factors associated with awareness. Thematic analysis and interpretive description were used to analyse the qualitative data. RESULTS: The overall means for early detection and general awareness scores were 0.58 (SD 0.24) and 0.46 (SD 0.21), respectively. General awareness was significantly associated with age, education, income and familiarity with cancer patients (<0.05), while early detection was significantly associated with age, marital status and education. A majority of women (59.5%) agreed with a belief in 'evil eye' or envy as a risk factor for breast cancer. Women discussed various factors which may empower or inhibit awareness, including the cultural-religion-fatalistic system, personal-familial-environmental system, and healthcare-political-social system. CONCLUSIONS: The overall low scores for awareness and early detection, and the survey of local beliefs highlight a severe necessity for a contextually-tailored breast cancer awareness intervention programme in Oman.

Urbanisation and geographic variation of overweight and obesity in India: a cross-sectional analysis of the Indian Demographic Health Survey 2005-2006.

OBJECTIVES: We examined the nationwide geographic variation of overweight and obesity in India, as well as a range of potential correlates of excess body fat. METHODS: We conducted cross-sectional analyses of the 2005-2006 Indian Demographic Health Survey (IDHS), based on 161,050 individuals (age range 18-54 years). Multivariate logistic regression models were used to determine odds ratios (OR) of overweight and obesity compared to normal weight with associated correlates. RESULTS: The overall prevalence was 12.4% for overweight, 3.2% for obesity, and 26.5% for underweight. After multivariate adjustment, obesity was nearly thrice more likely in urban areas than in rural (OR 2.73, 95% CI 2.53-2.94). Women were 2.71 times more likely to be obese than men (95% CI 2.50-2.95). Better socioeconomic status was significantly associated with overweight and obesity. Overweight (OR 1.38, 95% CI 1.31-1.47) and obesity (OR 1.46, 95% CI 1.32-1.61) were most likely to occur in India's Southern zone, when controlled for confounding factors. CONCLUSIONS: High-risk estimates for overweight/obesity in urban settings, along with socioeconomic prowess in India and the resulting nutritional transition make a compelling case for public health policy on healthy lifestyles to avert the growing burden of non-communicable diseases associated with overweight/obesity.