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Individuals who are unable to meet their basic needs are more likely to respond reactively to their immediate social and financial hardships with behaviors that lead to “diseases of despair,” which include suicide, drug overdose, and alcohol-induced liver diseases. We sought to assess the feasibility of a community-to-clinic referral approach for diseases of despair-related behaviors.
Methods:
Guided by the Model for Adaptation Design and Impact, we adapted existing clinical risk assessments into a six-item screener and integrated it into the PA 211 Southwest helpline’s workflow. The screener was created to identify helpline callers at risk for suicidal ideation/behavior, alcohol abuse, drug use, and those in need of seasonal flu vaccination. The screener was implemented from December 2020 to March 2021. We invited at-risk individuals who accepted a service referral to complete baseline and follow-up surveys to learn about their satisfaction with screening and use of referrals.
Results:
2,868 callers were invited to take the screener, with 37% (n = 1047) participation. Among screened callers, 19% (n = 196) were at risk of alcohol abuse, 11% (n = 118) for drug use, 9% (n = 98) for suicidal ideation/behavior, and 54% (n = 568) needed flu vaccination. Of those, 265 callers accepted at least one of the offered referrals. Forty-seven individuals took our surveys, with almost half of them (n = 22) reported engaging with a referral and 90% recommended the helpline for health referrals.
Conclusion:
Our findings demonstrate the feasibility of using existing community infrastructure and social service systems to actively screen and link at-risk individuals to needed health referrals in their communities.
The potential benefits of providing digital mental healthcare to isolated rural populations are emphasised in two articles from Pakistan. Novel programmes of support have been instituted by both private and publicly funded services.
As the COVID-19 pandemic took hold in the USA in early 2020, it became clear that knowledge of the prevalence of antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among asymptomatic individuals could inform public health policy decisions and provide insight into the impact of the infection on vulnerable populations. Two Clinical and Translational Science Award (CTSA) Hubs and the National Institutes of Health (NIH) set forth to conduct a national seroprevalence survey to assess the infection’s rate of spread. This partnership was able to quickly design and launch the project by leveraging established research capacities, prior experiences in large-scale, multisite studies and a highly skilled workforce of CTSA hubs and unique experimental capabilities at the NIH to conduct a diverse prospective, longitudinal observational cohort of 11,382 participants who provided biospecimens and participant-reported health and behavior data. The study was completed in 16 months and benefitted from transdisciplinary teamwork, information technology innovations, multimodal communication strategies, and scientific partnership for rigor in design and analytic methods. The lessons learned by the rapid implementation and dissemination of this national study is valuable in guiding future multisite projects as well as preparation for other public health emergencies and pandemics.
The Office of the Wyoming State Archaeologist has as one of its main objectives to actively engage the population of Wyoming in archaeological stewardship. To achieve this goal, in the past five years, we have launched the youth-oriented Summer Ventures program and the adult-oriented Wyoming Avocational Archaeology Training Program. Both programs were inspired by existing programs in other parts of the country and were launched following research and target audience surveys on how to best adapt them to Wyoming. Despite this preliminary research, our in-field experiences over the past few years have shown some patterns that are causing us to rethink both programs. This article discusses these initial in-field testing years, the issues we have encountered, and the ways we are redesigning both programs to better target the appropriate audiences in light of the different lifestyles of populations, particularly those of youths, in a rural state.
The nutrition environment, including food store type, may influence dietary choices, which in turn can affect risk of obesity and related chronic diseases such as CHD, diabetes and cancer. The objective of the present study was to elucidate the extent to which healthy foods are available and affordable in various rural food outlets. A subset of the nutrition environment was assessed using the Nutrition Environment Measures Survey in Stores (NEMS-S). The NEMS-S instrument assessed the availability and price of healthy foods (e.g. low-fat/non-fat milk, lean meats and reduced-fat dinner entrées) compared with less healthy counterparts (e.g. whole milk, non-lean meats and regular dinner entrées). The NEMS-S also assessed the quality of fresh fruits and vegetables. Availability, prices and quality of healthy foods were compared between grocery stores (n 24) and convenience stores (n 67) in nine rural counties in Alabama. Mean availability subscale score (possible range 0 to 30; higher score indicates a greater number of healthier foods were available) for grocery stores was 22·6 (sd 8·1), compared with 6·6 (sd 5·2) in convenience stores (P < 0·0001); and mean price subscale score (possible range −9 to 18; higher score indicates that healthier options were less expensive than the less healthy options) for grocery stores was 2·4 (sd 2·7), compared with 0·7 (sd 1·2) in convenience stores (P = 0·0080). Mean total NEMS-S score (possible range −9 to 54) in grocery stores was 29·8 (sd 10·9) compared with 7·3 (sd 7·1) in convenience stores (P < 0·0001). Both grocery and convenience stores could be strategic points of intervention to improve the nutrition environment in the counties that were surveyed.
To compare dietary patterns and food and macronutrient intakes among adults in three ethnic groups in rural Kenya.
Design
In the present cross-sectional study, dietary intake was estimated in adult volunteers using two non-consecutive interactive 24 h recalls. Dietary patterns were assessed from the number of meals and snacks per day and from the food items and major food groups registered, and their contribution to energy intake (EI) was calculated. Anthropometric values were measured and sociodemographic data obtained using a questionnaire.
Setting
A cross-sectional study was conducted in the Bondo, Kitui and Transmara districts of rural Kenya. A high prevalence of food insecurity in Kenya underlines the importance of describing the dietary patterns and intakes in different Kenyan ethnic groups.
Subjects
A total of 1163 (61 % women) adult Luo, Kamba and Maasai, with a mean age of 38·6 (range: 18–68) years, volunteered to participate.
Results
Dietary patterns and food groups contributing to EI differed significantly among the ethnic groups. Mean EI ranged from 5·8 to 8·6 MJ/d among women and from 7·2 to 10·5 MJ/d among men, with carbohydrates contributing between 55·7 % and 74·2 % and fat contributing between 14·5 % and 30·2 % of total EI. Mean protein intake ranged from 0·72 to 1·3 g/kg per d, and EI:BMR ratio ranged between 1·1 and 1·6 in both sexes, and was highest among the Luo. Prevalence of underweight (BMI < 18·5 kg/m2) was 13·7 %, 20·5 % and 24·2 % in the Luo, Kamba and Maasai, respectively.
Conclusions
The degree of food insecurity measured as a degree of undernutrition and as dietary patterns differed considerably among the ethnic groups. The Maasai and Kamba in particular were exposed to food insecurity.