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Men who have sex with Men (MSM) are currently at marked risk for HIV infection in Low- and Middle-Income Countries (LMICs) in Asia, Africa, Latin America and the Caribbean, and in Eastern Europe and Central Asia. Estimates of HIV prevalence rates have been consistently higher among MSM than for the general population of reproductive-age men virtually wherever MSM have been well studied. Although scarce, HIV incidence data support findings of high acquisition and transmission risks among MSM in multiple contexts, cultural settings, and economic levels. Research among MSM in LMICs has been limited by the criminalization and social stigmatization of these behaviors, the safety considerations for study participants, the hidden nature of these populations, and a lack of targeted funding. Available evidence from these countries suggests that structural risks social, economic, political, or legal factors in addition to individual-level risk factors are likely to play important roles in shaping HIV risks and treatment and care options for these men. Services and resources for populations of MSM remain markedly low in many settings. They have limited coverage and access to HIV/AIDS prevention, treatment, and care services with some estimates suggesting that fewer than one in ten MSM worldwide have access to the most basic package of preventive interventions.

Globally, 5–15% of hospitalized patients acquire infections (often caused by antimicrobial-resistant microbes) due to inadequate infection prevention and control (IPC) measures. We used the World Health Organization’s (WHO) ‘Infection Prevention and Control Assessment Framework’ (IPCAF) tool to assess the IPC compliance at Lira University hospital (LUH), a teaching hospital in Uganda. We also characterized challenges in completing the tool. This was a hospital-based, cross-sectional study conducted in November 2020. The IPC focal person at LUH completed the WHO IPCAF tool. Responses were validated, scored, and interpreted per WHO guidelines. The overall IPC compliance score at LUH was 225/800 (28.5%), implying a basic IPC compliance level. There was no IPC committee, no IPC team, and no budgets. Training was rarely or never conducted. There was no surveillance system and no monitoring/audit of IPC activities. Bed capacity, water, electricity, and disposal of hospital waste were adequate. Disposables and personal protective equipment were not available in appropriate quantities. Major challenges in completing the IPCAF tool were related to the detailed questions requiring repeated consultation with other hospital stakeholders and the long time it took to complete the tool. IPC compliance at LUH was not optimal. The gaps identified need to be addressed urgently.

Delirium (acute confusion) is a common condition among older patients that often goes unrecognized. Although there are many delirium screening tools, the Confusion Assessment Method (CAM) appears to be the best tool to use at the bedside. Given its association with morbidity and mortality, prevention of delirium is crucial. Multi‐component preventative strategies have been found to be effective. Once delirium occurs, similar multicomponent strategies can be incorporated into the management strategy. Precipitating factors should also be addressed. There is insufficient evidence to support the use of pharmacological agents for either the prevention or management of delirium.

There are few multicenter investigations regarding the relationship between antimicrobial resistance (AMR) and infection-control activities in Japanese hospitals. Hence, we aimed to identify Japanese hospital subgroups based on facility characteristics and infection-control activities. Moreover, we evaluated the relationship between AMR and hospital subgroups. We conducted a cross-sectional study using administrative claims data and antimicrobial susceptibility data in 124 hospitals from April 2016 to March 2017. Hospitals were classified using cluster analysis based the principal component analysis-transformed data. We assessed the relationship between each cluster and AMR using analysis of variance. Ten variables were selected and transformed into four principal components, and five clusters were identified. Cluster 5 had high infection control activity. Cluster 2 had partially lower activity of infection control than the other clusters. Clusters 3 and 4 had a higher rate of surgeries than Cluster 1. The methicillin-resistant Staphylococcus aureus (MRSA)/S. aureus detection rate was lowest in Cluster 1, followed, respectively, by Clusters 5, 2, 4, and 3. The MRSA/S. aureus detection rate differed significantly between Clusters 4 and 5 (p = 0.0046). Our findings suggest that aggressive examination practices are associated with low AMR whereas surgeries, an infection risk factor, are associated with high AMR.

This chapter contains sections titled: Introduction The Impact of Alcohol on Health Alcohol Consumption in the Community Approaches to Prevention Practical Components of Prevention Other Potential Approaches References

This chapter contains sections titled: Psychopharmacological trials for the treatment of substance use disorders Definitions of substance use disorders Introduction to psychopharmacotherapy for SUDs Considerations in pharmacotherapy trials for SUDs Conclusions and future directions

Background: Promoting awareness of tobacco and cancer in the community needs multipronged efforts. We performed a study to evaluate whether we could raise awareness about the harmful effects of tobacco, oral and esophageal cancer among school students by providing them health education. Moreover, we also compared the awareness level in students of age group 12 to ≤14 years with the age group >14 to 18 years. Methods: We conducted an awareness program in the schools of Ratnagiri district of Maharashtra state. Students aged 12-18 years participated in this study. We provided health education to school students using a standard presentation; the presentation was rich in illustrations depicting the harmful effects of tobacco as well as oral and esophageal cancer's signs, symptoms, diagnosis, treatment, and preventive measures. After the health talk, a questionnaire was circulated. The questions were focused on tobacco, signs, and symptoms of the diseases along with early detection, prevention, and treatment of cancer. Results: A total of 1354 students participated in the program. Totally, 567 (41.9%) students were from 6th to 8th grade (Group A, age group 12 to ≤14) and 787 (58.1%) students were from 9th to 12th standards (Group B, age group >14 to 18). Overall scores were high, ranging from 69% to 98%. Group A scored in the range of 69% to 95%, and Group B scored in the range 72%-98% The difference between the two groups was found to be statistically significant (P-value ≤0.05). Conclusion: A standardized health education program helped to raise awareness about the harmful effects of tobacco and cancer amongst school children. Further studies are needed to evaluate whether educating school children has an impact on community understanding of the disease.

This publication offers crucial lessons for policy makers and development experts who may be considering using small area poverty maps as tools of economic development and helps add to our array of tools for dealing with the political economy issues of poverty. It represents a major contribution to a little understood aspect of the well-known adage \"location, location, location,\" demonstrating that the conceptualization of poverty at the local level represents an important step in our fight against poverty. Insights from the diverse experiences of 12 countries are drawn together in the first two chapters, on key elements in the successful implementation and utilization of poverty maps and on the political economy of poverty maps. The case studies in the volume highlight the wide range of policies and interventions that have been influenced by poverty maps, including, but not limited to, the location of investments and services, the creation of district and municipal development plans, and the allocation of grants and fiscal transfers. They show that successfully implemented and appropriately utilized poverty maps may lead to radical shifts in the perception of poverty and in strategies designed to address poverty.