OBJECTIVE: To advance public health support for the U.S. Department of Housing and Urban Development's smoke-free rule, the Centers for Disease Control and Prevention collaborated with the Georgia Institute of Technology to develop a geospatial mapping tool. The objective was to create a tool state and local public health agencies could use to tailor smoke-free educational materials and cessation interventions for specific public housing development resident populations. RESULTS: The resulting "Extinguish Tool" includes an interactive map of U.S. public housing developments (PHDs) and healthcare facilities that provides detailed information on individual PHDs, their proximity to existing healthcare facilities, and the demographic characteristics of residents. The tool also estimates the number of PHD residents who smoke cigarettes and calculates crude estimates of the potential economic benefits of providing cessation interventions to these residents. The geospatial mapping tool project serves as an example of a collaborative and innovative public health approach to protecting the health and well-being of the nation's two million public housing residents, including 760,000 children, from the harms of tobacco smoking and secondhand smoke exposure in the places where they live, play, and gather.

In Minneapolis-St Paul, Minnesota, factors such as cultural and linguistic diversity make it difficult for public health agencies to reach immigrant and racial/ethnic minority populations with health initiatives. Founded in 2006, the Minnesota Immunization Networking Initiative (MINI) is a community project that has provided more than 80 000 free influenza vaccinations to vulnerable populations, including immigrants and racial/ethnic minority groups. MINI administered 5910 vaccinations through 99 community-based vaccination clinics during the 2017-2018 influenza season and surveyed the clients in their own language about influenza vaccination knowledge and practices. Among those surveyed, 2545 (43.1%) were uninsured and 408 (6.9%) received a first-time influenza vaccination at the MINI clinic. A total of 2893 (49.0%) respondents heard about the clinic through their faith community. Lessons learned included the importance of building relationships with community leaders and involving them as full partners, holding clinics in community-based settings to bring vaccinations to clients, and reporting outcomes to partners.

INTRODUCTION: Adults hospitalized with community-acquired pneumonia are at high risk for short-term mortality. However, it is unclear whether improvements in in-hospital pneumonia care could substantially lower this risk. We extensively reviewed all in-hospital deaths in a large prospective CAP study to assess the cause of each death and assess the extent of potentially preventable mortality. METHODS: We enrolled adults hospitalized with CAP at five tertiary-care hospitals in the United States. Five physician investigators reviewed the medical record and study database for each patient who died to identify the cause of death, the contribution of CAP to death, and any preventable factors potentially contributing to death. RESULTS: Among 2,320 enrolled patients, 52 (2.2%) died during initial hospitalization. Among these 52 patients, 33 (63.4%) were >/=65 years old, and 32 (61.5%) had >/=2 chronic comorbidities. CAP was judged to be the direct cause of death in 27 (51.9%) patients. Ten (19.2%) patients had do-not-resuscitate orders prior to admission. Four patients were identified in whom a lapse in quality of care potentially contributed to death; pre-existing end-of-life limitations were present in two of these patients. Two patients seeking full medical care experienced a lapse in in-hospital quality of pneumonia care that potentially contributed to death. CONCLUSION: In this study of adults with CAP at tertiary-care hospitals with a low mortality rate, most in-hospital deaths did not appear to be preventable with improvements in in-hospital pneumonia care. Pre-existing end-of-life limitations in care, advanced age, and high comorbidity burden were common among those who died.

INTRODUCTION: Effective February 2017, the U.S. Department of Housing and Urban Development published a rule requiring each public housing agency to implement a smoke-free policy within 18 months. This study assessed the prevalence and determinants of favorability toward smoke-free public housing among U.S. adults. METHODS: Data from 2016 Summer Styles, a nationally representative web-based survey conducted among adults (N=4,203) were analyzed in 2017. Participants were asked: Do you favor or oppose prohibiting smoking in public housing, including all indoor areas of living units, common areas, and office buildings, as well as in all outdoor areas within 25 feet of buildings? Multivariate Poisson regression was used to calculate adjusted prevalence ratios of favorability (strongly or somewhat). RESULTS: Overall, 73.7% of respondents favored smoke-free public housing. Favorability was 44.3% among current cigarette smokers, 73.2% among former smokers, and 80.4% among never smokers. The adjusted likelihood of favorability was greater among non-Hispanic, non-black racial/ethnic minorities than whites, and among those in the West than the Northeast (p<0.05). Favorability was lower among adults with a high school education or less compared with those with a college degree, adults with annual household income <$15,000 than those with income ≥$60,000, multiunit housing residents than non-multiunit housing residents, current cigarette smokers than never smokers, and current non-cigarette tobacco product users than never users (p<0.05). CONCLUSIONS: Most U.S. adults favor prohibiting smoking in public housing. These data can inform the implementation and sustainment of smoke-free policies to reduce the public health burden of tobacco smoking in public housing.

In its review of tobacco-dependence treatments, the 2008 clinical practice guideline of the U.S. Public Health Service concluded, "Indeed, it is difficult to identify any other condition that presents such a mix of lethality, prevalence, and neglect, despite effective and readily available interventions." The low utilization of clinical cessation interventions by smokers and physicians alike is partly attributable to inadequate insurance coverage: many health insurers still fail to cover the evidence-based counseling and medication treatments recommended in the 2008 guideline. Even when these treatments are covered, barriers to utilization such as copayments and prior-authorization requirements make obtaining them costly and inconvenient.

BACKGROUND: Integrating mental health with general medical care can increase access to mental health services, but requires helping generalists acquire a range of unfamiliar knowledge and master potentially complex diagnostic and treatment processes. METHOD: We describe a model for integrating complex specialty care with generalist/primary care, using as an illustration the integration of mental health into hospital-based HIV treatment services in Ethiopia. Generalists and specialists collaboratively developed mental health treatments to fit the knowledge, skills and resources of the generalists. The model recognizes commonalities between mental health and general medical care, focusing on practical interventions acceptable to patients. It was developed through a process of literature review, interviews, observing clinical practice, pilot trainings and expert consultation. Preliminary evaluation results were obtained by debriefing generalist trainees after their return to their clinical sites. RESULTS: In planning interviews, generalists reported discomfort making mental health diagnoses but recognition of symptom groups including low mood, anxiety, thought problems, poor child behaviour, seizures and substance use. Diagnostic and treatment algorithms were developed for these groups and tailored to the setting by including possible medical causes and burdens of living with HIV. First-line treatment included modalities familiar to generalists: empathetic patient-provider interactions, psychoeducation, cognitive reframing, referral to community supports and elements of symptom-specific evidence-informed counselling. Training introduced basic skills, with evolving expertise supported by job aides and ongoing support from mental health nurses cross-trained in HIV testing. Feedback from trainees suggested the programme fit well with generalists' settings and clinical goals. CONCLUSIONS: An integration model based on collaboratively developing processes that fit the generalist setting shows promise as a method for incorporating complex, multi-faceted interventions into general medical settings. Formal evaluations will be needed to compare the quality of care provided with more traditional approaches and to determine the resources required to sustain quality over time.

Infectious disease surveillance for mass gatherings (MGs) can be directed locally and globally; however, epidemic intelligence from these two levels is not well integrated. Modelling activities related to MGs have historically focused on crowd behaviours around MG focal points and their relation to the safety of attendees. The integration of developments in internet-based global infectious disease surveillance, transportation modelling of populations travelling to and from MGs, mobile phone technology for surveillance during MGs, metapopulation epidemic modelling, and crowd behaviour modelling is important for progress in MG health. Integration of surveillance across geographic frontiers and modelling across scientific specialties could produce the first real-time risk monitoring and assessment platform that could strengthen awareness of global infectious disease threats before, during, and immediately after MGs. An integrated platform of this kind could help identify infectious disease threats of international concern at the earliest stages possible; provide insights into which diseases are most likely to spread into the MG; help with anticipatory surveillance at the MG; enable mathematical modelling to predict the spread of infectious diseases to and from MGs; simulate the effect of public health interventions aimed at different local and global levels; serve as a foundation for scientific research and innovation in MG health; and strengthen engagement between the scientific community and stakeholders at local, national, and global levels.

BACKGROUND: Tuberculosis (TB) is a leading cause of morbidity and mortality worldwide. In Armenia, case reports of active TB increased from 590 to 1538 between 1990 and 2003. However, the TB case detection rate in Armenia in 2007 was only 51%, indicating that many cases go undetected or that suspected cases are not referred for confirmatory diagnosis. Understanding why Armenians do not seek or delay TB medical care is important to increase detection rates, improve treatment outcomes, and reduce ongoing transmission. METHODS: Two hundred-forty patients hospitalized between August 2006 and September 2007 at two Armenian TB reference hospitals were interviewed about symptoms, when they sought medical attention after symptom onset, outcomes of their first medical visit, and when they began treatment after diagnosis. We used logistic regression modeling to identify reasons for delay in diagnosis. RESULTS: Fatigue and weight loss were significantly associated with delay in seeking medical attention [aOR = 2.47 (95%CI = 1.15, 5.29); aOR = 2.99 (95%CI = 1.46, 6.14), resp.], while having night sweats protected against delay [aOR = 0.48 (95%CI = 0.24, 0.96)]. Believing the illness to be something other than TB was also significantly associated with delay [aOR = 2.63 (95%CI = 1.13, 6.12)]. Almost 20% of the 240TB patients were neither diagnosed at their first medical visit nor referred for further evaluation. CONCLUSIONS: This study showed that raising awareness of the signs and symptoms of TB among both the public and clinical communities is urgently needed.

BACKGROUND: The health impacts of pulmonary impairment after tuberculosis (TB) treatment have not been included in assessments of TB burden. Therefore, previous global and national TB burden estimates do not reflect the full consequences of surviving TB. We assessed the burden of TB including pulmonary impairment after tuberculosis in Tarrant County, Texas using Disability-adjusted Life Years (DALYs) METHODS: TB burden was calculated for all culture-confirmed TB patients treated at Tarrant County Public Health between January 2005 and December 2006 using identical methods and life tables as the Global Burden of Disease Study. Years of life-lost were calculated as the difference between life expectancy using standardized life tables and age-at-death from TB. Years lived-with-disability were calculated from age and gender-specific TB disease incidence using published disability weights. Non-fatal health impacts of TB were divided into years lived-with-disability-acute and years lived-with-disability-chronic. Years lived-with-disability-acute was defined as TB burden resulting from illness prior to completion of treatment including the burden from treatment-related side effects. Years lived-with-disability-chronic was defined as TB burden from disability resulting from pulmonary impairment after tuberculosis. RESULTS: There were 224 TB cases in the time period, of these 177 were culture confirmed. These 177 subjects lost a total of 1189 DALYs. Of these 1189 DALYs 23% were from years of life-lost, 2% were from years lived-with-disability-acute and 75% were from years lived-with-disability-chronic. CONCLUSIONS: Our findings demonstrate that the disease burden from TB is greater than previously estimated. Pulmonary impairment after tuberculosis was responsible for the majority of the burden. These data demonstrate that successful TB control efforts may reduce the health burden more than previously recognized.

Public health surveillance is essential for detecting and responding to infectious diseases and necessary for compliance with the revised International Health Regulations (IHR) 2005. To assess reporting capacities and compliance with IHR of all 50 states and Washington, DC, we sent a questionnaire to respective epidemiologists; 47 of 51 responded. Overall reporting capacity was high. Eighty-one percent of respondents reported being able to transmit notifications about unknown or unexpected events to the Centers for Disease Control and Prevention (CDC) daily. Additionally, 80% of respondents reported use of a risk assessment tool to determine whether CDC should be notified of possible public health emergencies. These findings suggest that most states have systems in place to ensure compliance with IHR. However, full state-level compliance will require additional efforts.

Health Department (HD) managers at both state and local levels are in desperate need of tools to assist in monitoring and evaluating programs. The purpose of this study is to assess the feasibility and utility of linking program performance scores and expenditures into a Report of Performance Measures (RPM). We analyzed secondary data on performance indicators, selected by HD staff, and expenditures, related to six surveillance activities, from two, similar, high-incidence, tuberculosis (TB) programs in Florida from 2002 to 2003. We compared the findings between the county HDs as an illustration of basic cost-effectiveness benchmarking, based on the cost-effectiveness grid. Data included here provide examples of: (1) two instances in which one county was operating relatively inefficiently compared to the other; (2) two instances in which performance and expenditures were similar for the counties; and (3) two instances in which one county spent more for higher performance scores than the other. These data illustrate how the RPM can be used to facilitate benchmarking, a basic evaluation tool. They also demonstrate ways to identify potential operational inefficiencies in a single time period and ultimately over time. It is thus likely to be a feasible and useful management tool.

PURPOSE: Cost analyses of tuberculosis (TB) in the United States have not included elements that may be prevented if TB were prevented, such as losses associated with TB-related disability, personal and other costs to society. Unmeasured TB costs lead to underestimates of the benefit of prevention and create conditions that could result in a resurgence of TB. We gathered data from Tarrant County, Texas, for 2002, to estimate the societal cost due to TB. METHODS: We estimated societal costs due to the presence or suspicion of TB using known variable and fixed costs incurred to all parties. These include costs for infrastructure; diagnostics and surveillance; inpatient and outpatient treatment of active, suspected, and latent TB infection (LTBI); epidemiologic activities; personal costs borne by patients and by others for lost time, disability, and death; and the cost of secondary transmission. A discount rate of 3% was used. RESULTS: During 2002, 108 TB cases were confirmed in Tarrant County, costing an estimated $40,574,953. The average societal cost per TB illness was $ 376,255. Secondary transmission created 47% and pulmonary impairment after TB created 35.4% of the total societal cost per illness. CONCLUSIONS: Prior estimates have concluded that treatment costs constitute most (86%) TB-related expenditures. From a societal perspective treatment and other direct costs account for little (3.3%) of the full burden. These data predict that preventing infection through earlier TB diagnosis and treatment of LTBI and expanding treatment of LTBI may be the most feasible strategies to reduce the cost of TB.

It will take vigilance, commitment, and action by all global stakeholders to reduce the potential impact of pandemic influenza during the upcoming Hajj pilgrimage.

Mass gatherings of people challenge public health capacities at host locations and the visitors' places of origin. Hajj-the yearly pilgrimage by Muslims to Saudi Arabia-is one of the largest, most culturally and geographically diverse mass gatherings in the world. With the 2009 pandemic influenza A H1N1 and upcoming Hajj, the Saudi Arabian Ministry of Health (MoH) convened a preparedness consultation in June, 2009. Consultants from global public health agencies met in their official capacities with their Saudi Arabian counterparts. The MoH aimed to pool and share public health knowledge about mass gatherings, and review the country's preparedness plans, focusing on the prevention and control of pandemic influenza. This process resulted in several practical recommendations, many to be put into practice before the start of Hajj and the rest during Hajj. These preparedness plans should ensure the optimum provision of health services for pilgrims to Saudi Arabia, and minimum disease transmission on their return home. Review of the implementation of these recommendations and their effect will not only inform future mass gatherings in Saudi Arabia, but will also strengthen preparedness efforts in other settings.