A 'Grantathon' model to mentor new investigators in mental health research.

BACKGROUND: There is a critical gap between needs and available resources for mental health treatment across the world, particularly in low- and middle-income countries (LMICs). In countries committed to increasing resources to address these needs it is important to conduct research, not only to assess the depth of mental health needs and the current provision of public and private mental health services, but also to examine implementation methods and evaluate mental health approaches to determine which methods are most effective in local contexts. However, research resources in many LMICs are inadequate, largely because conventional research training is time-consuming and expensive. Adapting a hackathon model may be a feasible method of increasing capacity for mental health services research in resource-poor countries. METHODS: To explore the feasibility of this approach, we developed a 'grantathon', i.e. a research training workshop, to build capacity among new investigators on implementation research of Indian government-funded mental health programmes, which was based on a need expressed by government agencies. The workshop was conducted in Delhi, India, and brought together junior faculty members working in mental health services settings throughout the country, experienced international behavioural health researchers and representatives of the Indian Council for Medical Research (ICMR), the prime Indian medical research funding agency. Pre- and post-assessments were used to capture changes in participants' perceived abilities to develop proposals, design research studies, evaluate outcomes and develop collaborations with ICMR and other researchers. Process measures were used to track the number of single-or multi-site proposals that were generated and funded. RESULTS: Participants (n = 24) generated 12 single- or multi-site research grant applications that will be funded by ICMR. CONCLUSION: The grantathon model described herein can be modified to build mental health services research capacity in other contexts. Given that this workshop not only was conceptualised and delivered but also returned results in less than 1 year, this model has the potential to quickly build research capacity and ultimately reduce the mental health treatment gap in resource-limited settings.

Is population structure sufficient to generate area-level inequalities in influenza rates? An examination using agent-based models.

BACKGROUND: In New Haven County, CT (NHC), influenza hospitalization rates have been shown to increase with census tract poverty in multiple influenza seasons. Though multiple factors have been hypothesized to cause these inequalities, including population structure, differential vaccine uptake, and differential access to healthcare, the impact of each in generating observed inequalities remains unknown. We can design interventions targeting factors with the greatest explanatory power if we quantify the proportion of observed inequalities that hypothesized factors are able to generate. Here, we ask if population structure is sufficient to generate the observed area-level inequalities in NHC. To our knowledge, this is the first use of simulation models to examine the causes of differential poverty-related influenza rates. METHODS: Using agent-based models with a census-informed, realistic representation of household size, age-structure, population density in NHC census tracts, and contact rates in workplaces, schools, households, and neighborhoods, we measured poverty-related differential influenza attack rates over the course of an epidemic with a 23 % overall clinical attack rate. We examined the role of asthma prevalence rates as well as individual contact rates and infection susceptibility in generating observed area-level influenza inequalities. RESULTS: Simulated attack rates (AR) among adults increased with census tract poverty level (F = 30.5; P < 0.001) in an epidemic caused by a virus similar to A (H1N1) pdm09. We detected a steeper, earlier influenza rate increase in high-poverty census tracts-a finding that we corroborate with a temporal analysis of NHC surveillance data during the 2009 H1N1 pandemic. The ratio of the simulated adult AR in the highest- to lowest-poverty tracts was 33 % of the ratio observed in surveillance data. Increasing individual contact rates in the neighborhood did not increase simulated area-level inequalities. When we modified individual susceptibility such that it was inversely proportional to household income, inequalities in AR between high- and low-poverty census tracts were comparable to those observed in reality. DISCUSSION: To our knowledge, this is the first study to use simulations to probe the causes of observed inequalities in influenza disease patterns. Knowledge of the causes and their relative explanatory power will allow us to design interventions that have the greatest impact on reducing inequalities. CONCLUSION: Differential exposure due to population structure in our realistic simulation model explains a third of the observed inequality. Differential susceptibility to disease due to prevailing chronic conditions, vaccine uptake, and smoking should be considered in future models in order to quantify the role of additional factors in generating influenza inequalities.

Health inequalities and infectious disease epidemics: a challenge for global health security.

In today's global society, infectious disease outbreaks can spread quickly across the world, fueled by the rapidity with which we travel across borders and continents. Historical accounts of influenza pandemics and contemporary reports on infectious diseases clearly demonstrate that poverty, inequality, and social determinants of health create conditions for the transmission of infectious diseases, and existing health disparities or inequalities can further contribute to unequal burdens of morbidity and mortality. Yet, to date, studies of influenza pandemic plans across multiple countries find little to no recognition of health inequalities or attempts to engage disadvantaged populations to explicitly address the differential impact of a pandemic on them. To meet the goals and objectives of the Global Health Security Agenda, we argue that international partners, from WHO to individual countries, must grapple with the social determinants of health and existing health inequalities and extend their vision to include these factors so that disease that may start among socially disadvantaged subpopulations does not go unnoticed and spread across borders. These efforts will require rethinking surveillance systems to include sociodemographic data; training local teams of researchers and community health workers who are able to not only analyze data to recognize risk factors for disease, but also use simulation methods to assess the impact of alternative policies on reducing disease; integrating social science disciplines to understand local context; and proactively anticipating shortfalls in availability of adequate healthcare resources, including vaccines. Without explicit attention to existing health inequalities and underlying social determinants of health, the Global Health Security Agenda is unlikely to succeed in its goals and objectives.

Existing health inequalities in India: informing preparedness planning for an influenza pandemic.

On 11 June 2009, the World Health Organization (WHO) declared that the world was in phase 6 of an influenza pandemic. In India, the first case of 2009 H1N1 influenza was reported on 16 May 2009 and by August 2010 (when the pandemic was declared over), 38730 cases of 2009 H1N1 had been confirmed of which there were 2024 deaths. Here, we propose a conceptual model of the sources of health disparities in an influenza pandemic in India. Guided by a published model of the plausible sources of such disparities in the United States, we reviewed the literature for the determinants of the plausible sources of health disparities during a pandemic in India. We find that factors at multiple social levels could determine inequalities in the risk of exposure and susceptibility to influenza, as well as access to treatment once infected: (1) religion, caste and indigenous identity, as well as education and gender at the individual level; (2) wealth at the household level; and (3) the type of location, ratio of health care practitioners to population served, access to transportation and public spending on health care in the geographic area of residence. Such inequalities could lead to unequal levels of disease and death. Whereas causal factors can only be determined by testing the model when incidence and mortality data, collected in conjunction with socio-economic and geographic factors, become available, we put forth recommendations that policy makers can undertake to ensure that the pandemic preparedness plan includes a focus on social inequalities in India in order to prevent their exacerbation in a pandemic.

"Food is directed to the area": African Americans' perceptions of the neighborhood nutrition environment in Pittsburgh.

Studies have shown racial disparities in neighborhood access to healthy food in the United States. We used a mixed methods approach employing geographic information systems, focus groups, and a survey to examine African Americans' perceptions of the neighborhood nutrition environment in Pittsburgh. We found that African Americans perceive that supermarkets serving their community offer produce and meats of poorer quality than branches of the same supermarket serving White neighborhoods (p<0.001). Unofficial taxis or jitneys, on which many African Americans are reliant, provide access from only certain stores; people are therefore forced to patronize these stores even though they are perceived to be of poorer quality. Community-generated ideas to tackle the situation include ongoing monitoring of supermarkets serving the Black community. We conclude that stores should make every effort to be responsive to the perceptions and needs of their clients and provide an environment that enables healthy eating.

Racial disparities in exposure, susceptibility, and access to health care in the US H1N1 influenza pandemic.

OBJECTIVES: We conducted the first empirical examination of disparities in H1N1 exposure, susceptibility to H1N1 complications, and access to health care during the H1N1 influenza pandemic. METHODS: We conducted a nationally representative survey among a sample drawn from more than 60,000 US households. We analyzed responses from 1479 adults, including significant numbers of Blacks and Hispanics. The survey asked respondents about their ability to impose social distance in response to public health recommendations, their chronic health conditions, and their access to health care. RESULTS: Risk of exposure to H1N1 was significantly related to race and ethnicity. Spanish-speaking Hispanics were at greatest risk of exposure but were less susceptible to complications from H1N1. Disparities in access to health care remained significant for Spanish-speaking Hispanics after controlling for other demographic factors. We used measures based on prevalence of chronic conditions to determine that Blacks were the most susceptible to complications from H1N1. CONCLUSIONS: We found significant race/ethnicity-related disparities in potential risk from H1N1 flu. Disparities in the risks of exposure, susceptibility (particularly to severe disease), and access to health care may interact to exacerbate existing health inequalities and contribute to increased morbidity and mortality in these populations.

The anthrax vaccine and research: reactions from postal workers and public health professionals.

During the 2001 anthrax attacks, public health agencies faced operational and communication decisions about the use of antibiotic prophylaxis and the anthrax vaccine with affected groups, including postal workers. This communication occurred within an evolving situation with incomplete and uncertain data. Guidelines for prophylactic antibiotics changed several times, contributing to confusion and mistrust. At the end of 60 days of taking antibiotics, people were offered an additional 40 days' supply of antibiotics, with or without the anthrax vaccine, the former constituting an investigational new drug protocol. Using data from interviews and focus groups with 65 postal workers in 3 sites and structured interviews with 16 public health professionals, this article examines the challenges for public health professionals who were responsible for communication with postal workers about the vaccine. Multiple factors affected the response, including a lack of trust, risk perception, disagreement about the recommendation, and the controversy over the military's use of the vaccine. Some postal workers reacted with suspicion to the vaccine offer, believing that they were the subjects of research, and some African American workers specifically drew an analogy to the Tuskegee syphilis study. The consent forms required for the protocol heightened mistrust. Postal workers also had complex and ambivalent responses to additional research on their health. The anthrax attacks present us with an opportunity to understand the challenges of communication in the context of uncertain science and suggest key strategies that may improve communications about vaccines and other drugs authorized for experimental use in future public health emergencies.