Supriya Kumar

It’s a long, long walk: accessibility to hospitals, maternity and integrated health centers in Niger

BackgroundEase of access to health care is of great importance in any country but particularly in countries such as Niger where restricted access can put people at risk of mortality from diseases such as measles, meningitis, polio, pneumonia and malaria. This paper analyzes the physical access of populations to health facilities within Niger with an emphasis on the effect of seasonal conditions and the implications of these conditions in terms of availability of adequate health services, provision of drugs and vaccinations. The majority of the transport within Niger is pedestrian, thus the paper emphasizes access by those walking to facilities for care. Further analysis compared the change in accessibility for vehicular travel since public health workers do travel by vehicle when carrying out vaccination campaigns and related proactive health care activities.ResultsThe majority of the roads in Niger are non-paved (90%). Six districts, mainly in the region of Tahoua lack medical facilities. Patient to health facility ratios were best in Agadez with 7000 people served per health facility. During the dry season 39% of the population was within 1-hours walk to a health center, with the percentage decreasing to 24% during the wet season. Further analyses revealed that vaccination rates were strongly correlated with distance. Children living in clusters within 1-hour of a health center had 1.88 times higher odds of complete vaccination by age 1-year compared to children living in clusters further from a health center (p < 0.05). Three key geographic areas were highlighted where access to health centers took greater than 4 h walk during the wet and dry season. Access for more than 730,000 people can be improved in these areas with the addition of 17 health facilities to the current total of 504 during the dry season (260,000 during the wet season).ConclusionsThis study highlights critical areas in Niger where health services/facilities are lacking. A second finding is that population served by health facilities will be severely overestimated if assessments are solely conducted during the dry season. Mapped outputs can be used for future decision making processes and analysis.

The Social Ecological Model as a Framework for Determinants of 2009 H1N1 Influenza Vaccine Uptake in the United States

Research on influenza vaccine uptake has focused largely on intrapersonal determinants (perceived risk, past vaccine acceptance, perceived vaccine safety) and on physician recommendation. The authors used a social ecological framework to examine influenza vaccine uptake during the 2009 H1N1 pandemic. Surveying an adult population (n = 2,079) in January 2010 with significant oversamples of Blacks and Hispanics, this study found that 18.4% (95% confidence interval = 15.6-21.5) had gotten the 2009 H1N1 vaccine. Variables at each level of the social ecological model were significant predictors of uptake as well as of intent to get the vaccine. The intrapersonal level explained 53%, the interpersonal explained 47%, the institutional level explained 34%, and the policy and community levels each explained 8% of the variance associated with vaccine uptake. The levels together explained 65% of the variance, suggesting that interventions targeting multiple levels of the framework would be more effective than interventions aimed at a single level.

The impact of workplace policies and other social factors on self-reported influenza-like illness incidence during the 2009 H1N1 pandemic.

OBJECTIVES We assessed the impact of social determinants of potential exposure to H1N1--which are unequally distributed by race/ethnicity in the United States--on incidence of influenza-like illness (ILI) during the 2009 H1N1 pandemic. METHODS In January 2010 we surveyed a nationally representative sample (n = 2079) of US adults from the Knowledge Networks online research panel, with Hispanic and African American oversamples. The completion rate was 56%. RESULTS Path analysis examining ILI incidence, race, and social determinants of potential exposure to H1N1 demonstrated that higher ILI incidence was related to workplace policies, such as lack of access to sick leave, and structural factors, such as number of children in the household. Hispanic ethnicity was related to a greater risk of ILI attributable to these social determinants, even after we controlled for income and education. CONCLUSIONS The absence of certain workplace policies, such as paid sick leave, confers a population-attributable risk of 5 million additional cases of ILI in the general population and 1.2 million cases among Hispanics. Federal mandates for sick leave could have significant health impacts by reducing morbidity from ILI, especially in Hispanics.

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.

Health Inequalities and Infectious Disease Epidemics: A Challenge for Global Health Security

In todays 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.

The Vagaries Of Public Support For Government Actions In Case Of A Pandemic

Government health measures in a pandemic are effective only with strong support and compliance from the public. A survey of 1,583 US adults early in the 2009 H1N1 (swine influenza) pandemic shows surprisingly mixed support for possible government efforts to control the spread of the disease, with strong support for more extreme measures such as closing borders and weak support for more basic, and potentially more effective, policies such as encouraging sick people to stay home from work. The results highlight challenges that public health officials and policy makers must address in formulating strategies to respond to a pandemic before a more severe outbreak occurs.

Paid sick days and stay-at-home behavior for influenza.

Access to paid sick days (PSD) differs by workplace size, race/ethnicity, gender, and income in the United States. It is not known to what extent decisions to stay home from work when sick with infectious illnesses such as influenza depend on PSD access, and whether access impacts certain demographic groups more than others. We examined demographic and workplace characteristics (including access to PSD) associated with employees’ decisions to stay home from work for their own or a child’s illness. Linking the 2009 Medical Expenditure Panel Survey (MEPS) consolidated data file to the medical conditions file, we used multivariate Poisson regression models with robust variance estimates to identify factors associated with missed work for an employee’s own or a child’s illness/injury, influenza-like-illness (ILI), and influenza. Controlling for gender, race/ethnicity, education, and income, access to PSD was associated with a higher probability of staying home for an employee’s own illness/injury, ILI, or influenza, and for a child’s illness/injury. Hispanic ethnicity was associated with a lower prevalence of staying home for the employee’s own or a child’s illness compared to non-Hispanic Whites. Access to PSD was associated with a significantly greater increase in the probability of staying home among Hispanics than among non-Hispanic Whites. Women had a significantly higher probability of staying home for their child’s illness compared to men, suggesting that women remain the primary caregivers for ill children. Our results indicate that PSD access is important to encourage employees to stay home from work when sick with ILI or influenza. Also, PSD access may be important to enable stay-at-home behavior among Hispanics. We conclude that access to PSD is likely to reduce the spread of disease in workplaces by increasing the rate at which sick employees stay home from work, and reduce the economic burden of staying home on minorities, women, and families.

A ‘Grantathon’ model to mentor new investigators in mental health research

BackgroundThere 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.MethodsTo 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.ResultsParticipants (n = 24) generated 12 single- or multi-site research grant applications that will be funded by ICMR.ConclusionThe 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.

Kumar et al. respond.

We thank Marathe et al. for alerting us to their study of the impact of paid sick leave on the burden of influenza,1 published in the International Conference on Complex Sciences: Theory and Applications. We regret that we did not have the opportunity to discuss our results in light of their study, which was published while our recent article was in press. Liao et al. show that at the overall population level, paid sick days reduce the burden of influenza illness. In addition, under multiple assumptions about rational and honest behavior and workplace compliance with a paid sick days policy, they show that the policy can be cost-effective from the societal standpoint. Their detailed study adds to the evidence base for decision-makers grappling with the economics of providing paid sick days. We would like to call attention to a specific dimension on which our studies differ. Public health research and practice are concerned both with the reduction of overall disease in the population and with eliminating disparities between population subgroups.2 In our recent study, we focused on quantifying the differential impact of paid sick days policies on workplaces of different sizes. We hypothesized that paid sick days policies would have a different impact on small workplaces than on large ones because access to paid sick days currently increases with workplace size.3 Our study showed that this was indeed the case. The 2 studies under discussion highlight that agent-based models—because of their characteristic features of heterogeneity of agents and spatially explicit agent interactions4—are well suited to studying not only the impact of heterogeneous behavior on overall population health but also differential impacts of policies and interventions on population subgroups.5 Both issues have an important place in evidence-based decision-making in public health, and we are grateful for this opportunity to discuss them in light of the study by Liao et al.