Factors associated with the adoption of a digital health service by patent proprietary medicine vendors (PPMVs) in Lagos, Nigeria.

Background: Patent proprietary medicine vendors (PPMVs) are the first point of care for low-income Nigerian households. They are likely to have an important role in a digital care pathway established for low-income Nigerian women and children. Yet, little is known about what drives the adoption of digital platforms by PPMVs. Methods: This study explores factors associated with the adoption of a digital service, NaijaCare, created to enable PPMVs to increase the range and quality of products and services they offer. A structured, quantitative, face-to-face survey was conducted among 248 PPMVs in Lagos in February and March 2020. Multivariate analysis was conducted to identify factors associated with the adoption of NaijaCare. Results: Women comprise the majority (67%) of medicine vendors in Lagos. Most medicine vendors (64%) had gotten health training on the job. About a quarter (27%) of medicine vendors reported seeking business advice on the internet. Medicine vendors who had obtained on-the-job training had a 12.31 times higher odds ratio (p < 0.01) of adopting the digital service. Medicine vendors who sought business advice on the internet had a 6.48 times higher odds ratio (p < 0.001) of adopting NaijaCare. Conclusion: The study findings suggest that PPMVs' use of the digital service was driven by their desire to increase business profits. Digital care pathways targeting low-income households should be aligned with the business interests of informal providers.

Healthcare utilization and maternal and child mortality during the COVID-19 pandemic in 18 low- and middle-income countries: An interrupted time-series analysis with mathematical modeling of administrative data.

BACKGROUND: The Coronavirus Disease 2019 (COVID-19) pandemic has had wide-reaching direct and indirect impacts on population health. In low- and middle-income countries, these impacts can halt progress toward reducing maternal and child mortality. This study estimates changes in health services utilization during the pandemic and the associated consequences for maternal, neonatal, and child mortality. METHODS AND FINDINGS: Data on service utilization from January 2018 to June 2021 were extracted from health management information systems of 18 low- and lower-middle-income countries (Afghanistan, Bangladesh, Cameroon, Democratic Republic of the Congo (DRC), Ethiopia, Ghana, Guinea, Haiti, Kenya, Liberia, Madagascar, Malawi, Mali, Nigeria, Senegal, Sierra Leone, Somalia, and Uganda). An interrupted time-series design was used to estimate the percent change in the volumes of outpatient consultations and maternal and child health services delivered during the pandemic compared to projected volumes based on prepandemic trends. The Lives Saved Tool mathematical model was used to project the impact of the service utilization disruptions on child and maternal mortality. In addition, the estimated monthly disruptions were also correlated to the monthly number of COVID-19 deaths officially reported, time since the start of the pandemic, and relative severity of mobility restrictions. Across the 18 countries, we estimate an average decline in OPD volume of 13.1% and average declines of 2.6% to 4.6% for maternal and child services. We projected that decreases in essential health service utilization between March 2020 and June 2021 were associated with 113,962 excess deaths (110,686 children under 5, and 3,276 mothers), representing 3.6% and 1.5% increases in child and maternal mortality, respectively. This excess mortality is associated with the decline in utilization of the essential health services included in the analysis, but the utilization shortfalls vary substantially between countries, health services, and over time. The largest disruptions, associated with 27.5% of the excess deaths, occurred during the second quarter of 2020, regardless of whether countries reported the highest rate of COVID-19-related mortality during the same months. There is a significant relationship between the magnitude of service disruptions and the stringency of mobility restrictions. The study is limited by the extent to which administrative data, which varies in quality across countries, can accurately capture the changes in service coverage in the population. CONCLUSIONS: Declines in healthcare utilization during the COVID-19 pandemic amplified the pandemic's harmful impacts on health outcomes and threaten to reverse gains in reducing maternal and child mortality. As efforts and resource allocation toward prevention and treatment of COVID-19 continue, essential health services must be maintained, particularly in low- and middle-income countries.

THE INTERGENERATIONAL MORTALITY TRADE-OFF OF COVID-19 LOCKDOWN POLICIES.

In lower-income countries, the economic contractions that accompany lockdowns to contain COVID-19 transmission can increase child mortality, counteracting the mortality reductions achieved by the lockdown. To formalize and quantify this effect, we build a macrosusceptible-infected-recovered model that features heterogeneous agents and a country-group-specific relationship between economic downturns and child mortality and calibrate it to data for 85 countries across all income levels. We find that in some low-income countries, a lockdown can produce net increases in mortality. The optimal lockdown that maximizes the present value of aggregate social welfare is shorter and milder in poorer countries than in rich ones.

The influence of Continuous Quality Improvement on healthcare quality: A mixed-methods study from Zimbabwe.

In an effort to improve the poor quality of maternal, newborn, and child health services, the Zimbabwe Ministry of Health and Child Care implemented a Continuous Quality Improvement (CQI) pilot in 2016. Health workers and district managers were trained and supported to implement cycles of quality target setting, developing and implementing action plans, and tracking outcomes. The pilot was implemented in district hospitals and primary health centers in five districts as an arm of the performance-based health financing (PBF) program. This study uses mixed methods to estimate the effect of the CQI model on quality of care for various services and to identify factors that enabled or impeded quality improvements. We assessed changes in quality of care for seven services over a two-year implementation period and compared these changes against other PBF districts. We also conducted focus group discussions and in-depth interviews with district and facility-level health workers and managers after implementation to explore enabling and impeding factors affecting program performance. Among the seven services assessed, CQI was associated with quality improvement in primary health centers for two: postnatal care and maternal delivery care. Enabling factors included strengthened leadership, teamwork and joint decision-making at facilities; and supportive supervision. Impeding factors included fragmentation of quality assurance policies; staff shortages and turnover; and gaps in the CQI training. Improvements were limited when considering the full breadth of potential outcomes but arise in certain areas of core focus of the CQI program. In order to see large scale improvement in the quality of healthcare in Zimbabwe, CQI should be seen as one potential tool in a broader health systems quality improvement strategy.

How many infants may have died in low-income and middle-income countries in 2020 due to the economic contraction accompanying the COVID-19 pandemic? Mortality projections based on forecasted declines in economic growth.

OBJECTIVES: While COVID-19 has a relatively small direct impact on infant mortality, the pandemic is expected to indirectly increase mortality of this vulnerable group in low-income and middle-income countries through its effects on the economy and health system performance. Previous studies projected indirect mortality by modelling how hypothesised disruptions in health services will affect health outcomes. We provide alternative projections, relying on modelling the relationship between aggregate income shocks and mortality. DESIGN: We construct a sample of 5.2 million births by pooling retrospective birth histories reported by women in Demographic and Health Surveys conducted in 83 low-income and middle-income countries between 1985 and 2018. We employ regression models with country-specific fixed-effects and flexible time trends to estimate the impact of gross domestic product per capita on infant mortality rate. We then use growth projections by the International Monetary Fund to predict the effect of the economic downturn in 2020 on infant mortality. RESULTS: We estimate 267 208 (95% CI 112 000 to 422 415) excess infant deaths in 128 countries, corresponding to a 6.8% (95% CI 2.8% to 10.7%) increase in the total number of infant deaths expected in 2020. CONCLUSIONS: The findings underscore the vulnerability of infants to the negative income shocks such as those imposed by the COVID-19 pandemic. While efforts towards prevention and treatment of COVID-19 remain paramount, the global community should also strengthen social safety nets and assure continuity of essential health services.

Disruptions in maternal and child health service utilization during COVID-19: analysis from eight sub-Saharan African countries.

The coronavirus-19 pandemic and its secondary effects threaten the continuity of essential health services delivery, which may lead to worsened population health and a protracted public health crisis. We quantify such disruptions, focusing on maternal and child health, in eight sub-Saharan countries. Service volumes are extracted from administrative systems for 63 954 facilities in eight countries: Cameroon, Democratic Republic of Congo, Liberia, Malawi, Mali, Nigeria, Sierra Leone and Somalia. Using an interrupted time series design and an ordinary least squares regression model with facility-level fixed effects, we analyze data from January 2018 to February 2020 to predict what service utilization levels would have been in March-July 2020 in the absence of the pandemic, accounting for both secular trends and seasonality. Estimates of disruption are derived by comparing the predicted and observed service utilization levels during the pandemic period. All countries experienced service disruptions for at least 1 month, but the magnitude and duration of the disruptions vary. Outpatient consultations and child vaccinations were the most commonly affected services and fell by the largest margins. We estimate a cumulative shortfall of 5 149 491 outpatient consultations and 328 961 third-dose pentavalent vaccinations during the 5 months in these eight countries. Decreases in maternal health service utilization are less generalized, although significant declines in institutional deliveries, antenatal care and postnatal care were detected in some countries. There is a need to better understand the factors determining the magnitude and duration of such disruptions in order to design interventions that would respond to the shortfall in care. Service delivery modifications need to be both highly contextualized and integrated as a core component of future epidemic response and planning.

Assessing the performance of the Caregiver Reported Early Development Instruments (CREDI) in rural India.

Although many education and health programs aim to improve early childhood development, it is challenging to assess developmental levels of infants and small children through large household surveys. The Caregiver Reported Early Development Instruments (CREDI) has been proposed as an adaptable, practical, and low-cost instrument for measuring the developmental status of children under 3 years of age at scale, as it is relatively short and collected by caregiver report. This study employed the CREDI to measure the development of a sample of 994 children ages 22-35 months in rural India and compared the results to those obtained using the Bayley Scales of Infant and Toddler Development (Bayley-III), a reliable and widely used instrument, albeit one not always suited to large-scale data collection efforts given its length, cost, and complexity of administration. The CREDI validation exercise showed that caregivers can provide assessments in keeping with the more interactive (hence more time-consuming and training-intensive) Bayley-III instrument. Noteworthy, there was no indication that concordance of the instruments differed by education of the caregiver. This is important as it points to alternate feasible tools to measure child development outcomes through large-scale surveys.

Physical activity and sedentary time in a rural adult population in Malawi compared with an age-matched US urban population.

OBJECTIVES: This study was designed to assess patterns of objectively measured physical activity (PA) and sedentary behaviour in a sample of adults in a rural setting from a low-income Sub-Saharan African country (Malawi). The patterns of PA and sedentary behaviour in Malawi were compared with US data collected and analysed using the same methodology. METHODS: The Malawi PA data were collected as part of a survey experiment on the measurement of agricultural labor conducted under the World Bank Living Standards Measurement Study program. ActiGraph accelerometers (model GT3X) were worn on the right hip in a household-based sample of 414 working-age adults (15-85 years). RESULTS: Mean total and 95% CIs for PA by category in min/day for Malawi adults were: sedentary 387.6 (377.4-397.8), low-light 222.1 (214.7-229.5), high-light 136.3 (132.7-139.9), moderate 71.6 (68.8-74.5), vigorous 1.1 (0.5-1.8) and moderate-to-vigorous physical activity (MVPA) 72.8 (69.7-75.9). Mean of PA and sedentary behavior (min/day) summed across age and sex groups are compared between Malawi and US samples: sedentary behaviour, 387.6 vs 525.8 (p<0.001); low-light, 222.1 vs 217.0 (p=ns); high-light, 136.3 vs 45.6 (p<0.001); moderate, 71.6 vs 28.0 (p<0.001); vigorous, 1.1 vs 2.5 (p<0.001); MVPA, 72.8 vs 30.5 (p<0.001). Compared with the USA, Malawi participants averaged consistently less sedentary time/day and more minutes/day in all intensity levels of PA, except for low-light and vigorous PA. CONCLUSION: Overall, levels of MVPA and high-light activity in adults in Malawi were substantially higher and sedentary time was substantially lower than those observed in US samples using near identical data collection, scoring and analysis.

Improving Supply Chain for Essential Drugs in Low-Income Countries: Results from a Large Scale Randomized Experiment in Zambia.

Despite increased investments in procurement of essential medicines, their availability at health facilities remains extremely low in many low- and middle-income countries. The lack of a well-functioning supply chain for essential medicines is often the cause of this poor availability. Using a randomized trial conducted in 439 health facilities and 24 districts in Zambia, this study helps understand the optimal supply chain structure for essential medicines distribution in the public sector in low-income countries. It shows that a more direct distribution system where clinics order and receive medicines supply directly from the central agency through a cross-docking arrangement significantly reduces the duration and frequency of stockouts compared to a traditional three-level drug distribution system. As an example, the frequency of stockouts for first line pediatric malaria medicines reduced from 47.9% to 13.3% and the number of days of stockout in a quarter reduced from 27 days to 5 days. The direct flow of demand and order information from health facilities to the central supply agency reduces the problem of diffuse accountability that exists in multi-tiered distribution systems. It also shifts the locus of decision making for complex supply chain functions such as scarce stock allocation and adjustment of health facility order quantities to levels in the system where staff competency is aligned with what the function needs. Even when supply chain system redesign such as the one evaluated in this paper are demonstrated to be technically robust using rigorous evidence, they often require navigating a complex political economy within the overall health system and its actors.

Using supervised learning to select audit targets in performance-based financing in health: An example from Zambia.

Independent verification is a critical component of performance-based financing (PBF) in health care, in which facilities are offered incentives to increase the volume of specific services but the same incentives may lead them to over-report. We examine alternative strategies for targeted sampling of health clinics for independent verification. Specifically, we empirically compare several methods of random sampling and predictive modeling on data from a Zambian PBF pilot that contains reported and verified performance for quantity indicators of 140 clinics. Our results indicate that machine learning methods, particularly Random Forest, outperform other approaches and can increase the cost-effectiveness of verification activities.

Cost-effectiveness of results-based financing, Zambia: a cluster randomized trial.

OBJECTIVE: To evaluate the cost-effectiveness of results-based financing and input-based financing to increase use and quality of maternal and child health services in rural areas of Zambia. METHODS: In a cluster-randomized trial from April 2012 to June 2014, 30 districts were allocated to three groups: results-based financing (increased funding tied to performance on pre-agreed indicators), input-based financing (increased funding not tied to performance) or control (no additional funding), serving populations of 1.33, 1.26 and 1.40 million people, respectively. We assessed incremental financial costs for programme implementation and verification, consumables and supervision. We evaluated coverage and quality effectiveness of maternal and child health services before and after the trial, using data from household and facility surveys, and converted these to quality-adjusted life years (QALYs) gained. FINDINGS: Coverage and quality of care increased significantly more in results-based financing than control districts: difference in differences for coverage were 12.8% for institutional deliveries, 8.2% postnatal care, 19.5% injectable contraceptives, 3.0% intermittent preventive treatment in pregnancy and 6.1% to 29.4% vaccinations. In input-based financing districts, coverage increased significantly more versus the control for institutional deliveries (17.5%) and postnatal care (13.2%). Compared with control districts, 641 more lives were saved (lower-upper bounds: 580-700) in results-based financing districts and 362 lives (lower-upper bounds: 293-430) in input-based financing districts. The corresponding incremental cost-effectiveness ratios were 809 United States dollars (US$) and US$ 413 per QALY gained, respectively. CONCLUSION: Compared with the control, both results-based financing and input-based financing were cost-effective in Zambia.

Maternal depressive symptoms are negatively associated with child growth and development: Evidence from rural India.

Maternal depression has been suggested as a risk factor for both poor child growth and development in many low- and middle-income countries, but the validity of many studies is hindered by small sample sizes, varying cut-offs used in depression diagnostics, and incomplete control of confounding factors. This study examines the association between maternal depressive symptoms (MDSs) and child physical growth and cognitive development in Madhya Pradesh, India, where poverty, malnutrition, and poor mental health coexist. Data were from a baseline household survey (n = 2,934) of a randomized controlled trial assessing an early childhood development programme. Multivariate linear and logistic regression analyses were conducted, adjusting for socio-economic factors to avoid confounding the association of mental health and child outcomes. MDS (measured using the Center for Epidemiologic Studies Short Depression Scale) was categorized as low, medium, and high in 47%, 42%, and 10% of mothers, respectively. The prevalence of child developmental delay ranged from 16% to 27% for various development domains. Compared with children of mothers with low MDS, those of high MDS mothers had lower height-for-age, weight-for-age, and weight-for-height z-scores (0.22, 0.21, and 0.15, respectively), a higher rate of stunting and underweight (~1.5 times), and higher rate of developmental delay (partial adjusted odds ratio ranged from 1.3-1.8 for different development domains and fully adjusted odds ratio = 1.4 for fine motor). Our results-that MDS is significantly associated with both child undernutrition and development delay-add to the call for practical interventions to address maternal depression to simultaneously address multiple outcomes for both women and children.

Does involvement of local NGOs enhance public service delivery? Cautionary evidence from a malaria-prevention program in India.

Partnerships between government and non-state actors that aim to enhance the quality or efficiency of service delivery are increasingly common in today's development policy landscape. We investigate the impacts of such an approach using data from an experimental supportive intervention to India's malaria control program that leveraged local non-state capacity in order to promote mosquito net usage and recommended fever care-seeking patterns. The supportive activities were conducted simultaneously by 3 NGOs, contracted out by the Indian government, in 2 endemic districts in the state of Odisha. We find that program impact significantly varied by location. Examining 3 potential sources of this variation (differential population characteristics, differential health worker characteristics, and differential implementer characteristics), we provide evidence that both population and NGO characteristics significantly affected the success of the program. Specifically, the results suggest that the quality and effort of the local implementer played a key role in the differential effectiveness. We discuss these findings as they relate to the external validity of development policy evaluations and, specifically, for the ability of health and other service delivery systems to benefit from limited non-state capacity in underresourced areas.

Incentives to change: effects of performance-based financing on health workers in Zambia.

BACKGROUND: Performance-based financing (PBF) has been implemented in a number of countries with the aim of transforming health systems and improving maternal and child health. This paper examines the effect of PBF on health workers' job satisfaction, motivation, and attrition in Zambia. It uses a randomized intervention/control design to evaluate before-after changes for three groups: intervention (PBF) group, control 1 (C1; enhanced financing) group, and control 2 (C2; pure control) group. METHODS: Mixed methods are employed. The quantitative portion comprises of a baseline and an endline survey. The survey and sampling scheme were designed to allow for a rigorous impact evaluation of PBF or C1 on several key performance indicators. The qualitative portion seeks to explain the pathways underlying the observed differences through interviews conducted at the beginning and at the three-year mark of the PBF program. RESULTS: Econometric analysis shows that PBF led to increased job satisfaction and decreased attrition on a subset of measures, with little effect on motivation. The C1 group also experienced some positive effects on job satisfaction. The null results of the quantitative assessment of motivation cohere with those of the qualitative assessment, which revealed that workers remain motivated by their dedication to the profession and to provide health care to the community rather than by financial incentives. The qualitative evidence also provides two explanations for higher overall job satisfaction in the C1 than in the PBF group: better working conditions and more effective supervision from the District Medical Office. The PBF group had higher satisfaction with compensation than both control groups because they have higher compensation and financial autonomy, which was intended to be part of the PBF intervention. While PBF could not address all the reasons for attrition, it did lower turnover because those health centers were staffed with qualified personnel and the personnel had role clarity. CONCLUSIONS: In Zambia, the implementation of PBF schemes brought about a significant increase in job satisfaction and a decrease in attrition, but had no significant effect on motivation. Enhanced health financing also increased stated job satisfaction.

A Conditional Cash Transfer Program in the Philippines Reduces Severe Stunting.

BACKGROUND: Pantawid, a conditional cash transfer (CCT) program in the Philippines, provided grants conditioned on health-related behaviors for children aged 0-5 y and schooling for those aged 10-14 y. OBJECTIVE: We investigated whether Pantawid improved anthropometric measurements in children aged 6-36 mo. METHODS: We estimated cross-sectional intention-to-treat effects using a 2011 cluster-randomized trial across 130 villages-65 treated and 65 control-with data collected after 31 mo of implementation. Anthropometry characteristics were measured for 241 children in treated areas and 244 children in control areas. Health service use for children aged 6-36 mo and dietary intake for those aged 6-60 mo also were measured. Outcome variables were height-for-age z scores (HAZs) and weight-for-age z scores (WAZs), stunting, severe stunting, underweight, and severely underweight. Impact also was assessed on perinatal care, institutional delivery, presence of skilled birth attendant, breastfeeding practices, immunization, growth monitoring and deworming, care-seeking, and children's intake of protein-rich foods. RESULTS: Pantawid was associated with a significant reduction in severe stunting [<-3 SD from WHO standards for healthy children; ß = -10.2 percentage points (95% CI -18.8, -1.6 percentage points); P = 0.020] as well as a marginally significant increase in HAZs [ß = 0.284 SDs (95% CI -0.033, 0.602 SDs); P = 0.08]. WAZs, stunting, underweight, and severely underweight status did not change. Concomitantly, several measures of health-seeking behavior increased significantly. CONCLUSIONS: To our knowledge, Pantawid is one of few CCT programs worldwide that significantly reduced severe stunting in children aged 6-36 mo; changes in key parenting practices, including children's intake of protein-rich foods and care-seeking behavior, were concurrent.

Strengthening malaria service delivery through supportive supervision and community mobilization in an endemic Indian setting: an evaluation of nested delivery models.

BACKGROUND: Malaria continues to be a prominent global public health challenge. This study tested the effectiveness of two service delivery models for reducing the malaria burden, e.g. supportive supervision of community health workers (CHW) and community mobilization in promoting appropriate health-seeking behaviour for febrile illnesses in Odisha, India. METHODS: The study population comprised 120 villages from two purposively chosen malaria-endemic districts, with 40 villages randomly assigned to each of the two treatment arms, one with both supportive supervision and community mobilization and one with community mobilization alone, as well as an observational control arm. Outcome measures included changes in the utilization of bed nets and timely care-seeking for fever from a trained provider compared to the control group. Analysis was by intention-to-treat. RESULTS: Significant improvements were observed in the reported utilization of bed nets in both intervention arms (84.5% in arm A and 82.4% in arm B versus 78.6% in the control arm; p < 0.001). While overall rates of treatment-seeking were equal across study arms, treatment-seeking from a CHW was higher in both intervention arms (28%; p = 0.005 and 27.6%; p = 0.007) than in the control arm (19.2%). Fever cases were significantly more likely to visit a CHW and receive a timely diagnosis of fever in the combined interventions arm than in the control arm (82.1% vs. 67.1%; p = 0.025). Care-seeking from trained providers also increased with a substitution away from untrained providers. Further, fever cases from the combined interventions arm (60.6%; p = 0.004) and the community mobilization arm (59.3%; p = 0.012) were more likely to have received treatment from a skilled provider within 24 hours than fever cases from the control arm (50.1%). In particular, women from the combined interventions arm were more likely to have received timely treatment from a skilled provider (61.6% vs. 47.2%; p = 0.028). CONCLUSION: A community-based intervention combining the supportive supervision of community health workers with intensive community mobilization and can be effective in improving care-seeking and preventive behaviour and may be used to strengthen the national malaria control programme.

Health sector demand-side financial incentives in low- and middle-income countries: a systematic review on demand- and supply-side effects.

Demand-side financial incentive (DSF) is an emerging strategy to improve health seeking behavior and health status in many low- and middle-income countries. This narrative synthesis assessed the demand- and supply-side effects of DSF. Forty one electronic data bases were searched to screen relevant experimental and quasi-experimental study designs. Out of the 64 selected papers, 28 were eligible for this review and they described 19 DSF initiatives across Asia, Africa and Latin America. There were three categories of initiatives, namely long-run multi-sectoral programs or LMPs (governmental); long-run health-exclusive programs (governmental); and short-run health-exclusive initiatives (both governmental and non-governmental). Irrespective of the nature of incentives and initiatives, all DSF programs could achieve their expected behavioral outcomes on healthcare seeking and utilization substantially. However, there existed a few negative and perverse outcomes on health seeking behavior and DSF's impact on continuous health seeking choices (e.g. bed net use and routine adult health check-ups) was mixed. Their effects on maternal health status, diarrhea, malaria and out-of-pocket expenditure were under-explored; while chronic non-communicable diseases were not directly covered by any DSF programs. DSF could reduce HIV prevalence and child deaths, and enhance nutritional and growth status of children. The direction and magnitude of their effects on health status was elastic to the evaluation design employed. On health system benefits, despite prioritizing on vulnerable groups, DSF's substantial effect on the poorest of the poor was mixed compared to that on the relatively richer groups. Though DSF initiatives intended to improve service delivery status, many could not optimally do so, especially to meet the additionally generated demand for care. Causal pathways of DSF's effects should be explored in-depth for mid-course corrections and cross-country learning on their design, implementation and evaluation. More policy-specific analyses on LMPs are needed to assess how 'multi-sectoral' approaches can be cost-effective and sustainable in the long run compared to 'health exclusive' incentives.

Community perceptions on malaria and care-seeking practices in endemic Indian settings: policy implications for the malaria control programme.

BACKGROUND: The focus of India's National Malaria Programme witnessed a paradigm shift recently from health facility to community-based approaches. The current thrust is on diagnosing and treating malaria by community health workers and prevention through free provision of long-lasting insecticidal nets. However, appropriate community awareness and practice are inevitable for the effectiveness of such efforts. In this context, the study assessed community perceptions and practice on malaria and similar febrile illnesses. This evidence base is intended to direct the roll-out of the new strategies and improve community acceptance and utilization of services. METHODS: A qualitative study involving 26 focus group discussions and 40 key informant interviews was conducted in two districts of Odisha State in India. The key points of discussion were centred on community perceptions and practice regarding malaria prevention and treatment. Thematic analysis of data was performed. RESULTS: The 272 respondents consisted of 50% females, three-quarter scheduled tribe community and 30% students. A half of them were literates. Malaria was reported to be the most common disease in their settings with multiple modes of transmission by the FGD participants. Adoption of prevention methods was seasonal with perceived mosquito density. The reported use of bed nets was low and the utilization was determined by seasonality, affordability, intoxication and alternate uses of nets. Although respondents were aware of malaria-related symptoms, care-seeking from traditional healers and unqualified providers was prevalent. The respondents expressed lack of trust in the community health workers due to frequent drug stock-outs. The major determinants of health care seeking were socio-cultural beliefs, age, gender, faith in the service provider, proximity, poverty, and perceived effectiveness of available services. CONCLUSION: Apart from the socio-cultural and behavioural factors, the availability of acceptable care can modulate the community perceptions and practices on malaria management. The current community awareness on symptoms of malaria and prevention is fair, yet the prevention and treatment practices are not optimal. Promoting active community involvement and ownership in malaria control and management through strengthening community based organizations would be relevant. Further, timely availability of drugs and commodities at the community level can improve their confidence in the public health system.

How many infants likely died in Africa as a result of the 2008-2009 global financial crisis?

The human consequences of the recent global financial crisis for the developing world are presumed to be severe, but few studies have quantified them. This letter estimates the human cost of the 2008-2009 global financial crisis in one critical dimension-infant mortality-for countries in sub-Saharan Africa. The analysis pools birth-level data, as reported in female adult retrospective birth histories from all Demographic and Health Surveys collected in sub-Saharan Africa. This results in a data set of 639,000 births to 264,000 women in 30 countries. We use regression models with flexible controls for temporal trends to assess an infant's likelihood of death as a function of fluctuations in national income. We then calculate the expected number of excess deaths by combining these estimates with growth shortfalls as a result of the crisis. The results suggest 28,000-50,000 excess infant deaths in sub-Saharan Africa in the crisis-affected year of 2009. Notably, most of these additional deaths were concentrated among girls. Policies that protect the income of poor households and that maintain critical health services during times of economic contraction may reduce the expected increase in mortality. Interventions targeted at female infants and young girls can be particularly beneficial.