Factors influencing pregnancy care and institutional delivery in rural Mali: a secondary baseline analysis of a cluster-randomised trial.

OBJECTIVE: The vast majority of the 300 000 pregnancy-related deaths every year occur in South Asia and sub-Saharan Africa. Increased access to quality antepartum and intrapartum care can reduce pregnancy-related morbidity and mortality worldwide. We used a population-based cross-sectional cohort design to: (1) examine the sociodemographic risk factors and structural barriers associated with pregnancy care-seeking and institutional delivery, and (2) investigate the influence of residential distance to the nearest primary health facility in a rural population in Mali. METHODS: A baseline household survey of Malian women aged 15-49 years was conducted between December 2016 and January 2017, and those who delivereda baby in the 5 years preceding the survey were included. This study leverages the baseline survey data from a cluster-randomised controlled trial to conduct a secondary analysis. The outcomes were percentage of women who received any antenatal care (ANC) and institutional delivery; total number of ANC visits; four or more ANC visits; first ANC visit in the first trimester. RESULTS: Of the 8575 women in the study, two-thirds received any ANC in their last pregnancy, one in 10 had four or more ANC visits and among those that received any ANC, about one-quarter received it in the first trimester. For every kilometre increase in distance to the nearest facility, the likelihood of the outcomes reduced by 5 percentage points (0.95; 95% CI 0.91 to 0.98) for any ANC; 4 percentage points (0.96; 95% CI 0.94 to 0.98) for an additional ANC visit; 10 percentage points (0.90; 95% CI 0.86 to 0.95) for four or more ANC visits; 6 percentage points (0.94; 95% CI 0.94 to 0.98) for first ANC in the first trimester. In addition, there was a 35 percentage points (0.65; 95% CI 0.56 to 0.76) decrease in likelihood of institutional delivery if the residence was within 6.5 km to the nearest facility, beyond which there was no association with the place of delivery. We also found evidence of increase in likelihood of receiving any ANC care and its intensity increased with having some education or owning a business. CONCLUSION: The findings suggest that education, occupation and distance are important determinants of pregnancy and delivery care in a rural Malian context. TRIAL REGISTRATION NUMBER: NCT02694055.

Effects of proactive vs fixed community health care delivery on child health and access to care: a cluster randomised trial secondary endpoint analysis.

Background: Professional community health workers (CHWs) can help achieve universal health coverage, although evidence gaps remain on how to optimise CHW service delivery. We conducted an unblinded, parallel, cluster randomised trial in rural Mali to determine whether proactive CHW delivery reduced mortality and improved access to health care among children under five years, compared to passive delivery. Here we report the secondary access endpoints. Methods: Beginning from 26-28 February 2017, 137 village-clusters were offered care by CHWs embedded in communities who were trained, paid, supervised, and integrated into a reinforced public-sector health system that did not charge user fees. Clusters were randomised (stratified on primary health centre catchment and distance) to care during CHWs during door-to-door home visits (intervention) or based at a fixed village site (control). We measured outcomes at baseline, 12-, 24-, and 36-month time points with surveys administered to all resident women aged 15-49 years. We used logistic regression with cluster-level random effects to estimate intention-to-treat and per-protocol effects over time on prompt (24-hour) treatment within the health sector. Results: Follow-up surveys between February 2018 and April 2020 generated 20 105 child-year observations. Across arms, prompt health sector treatment more than doubled compared to baseline. At 12 months, children in intervention clusters had 22% higher odds of receiving prompt health sector treatment than those in control (cluster-specific adjusted odds ratio (aOR) = 1.22; 95% confidence interval (CI) = 1.06, 1.41, P = 0.005), or 4.7 percentage points higher (adjusted risk difference (aRD) = 0.047; 95% CI = 0.014, 0.080). We found no evidence of an effect at 24 or 36 months. Conclusions: CHW-led health system redesign likely drove the 2-fold increase in rapid child access to care. In this context, proactive home visits further improved early access during the first year but waned afterwards. Registration: ClinicalTrials.gov NCT02694055.

Effect of community health worker home visits on antenatal care and institutional delivery: an analysis of secondary outcomes from a cluster randomised trial in Mali.

INTRODUCTION: Though community health workers (CHWs) have improved access to antenatal care (ANC) and institutional delivery in different settings, it is unclear what package and delivery strategy maximises impact. METHODS: This study reports a secondary aim of the Proactive Community Case Management cluster randomised trial, conducted between December 2016 and April 2020 in Mali. It evaluated whether proactive home visits can improve ANC access at a population level compared with passive site-based care. 137 unique village clusters, covering the entire study area, were stratified by health catchment area and distance to the nearest primary health centre. Within each stratum, clusters were randomly assigned to intervention or control arm. CHWs in intervention clusters proactively visited all homes to provide care. In the control clusters, CHWs provided the same services at their fixed community health post to care-seeking patients. Pregnant women 15-49 years old were enrolled in a series of community-based and facility-based visits. We analysed individual-level annual survey data from baseline and 24-month and 36-month follow-up for the secondary outcomes of ANC and institutional delivery, complemented with CHW monitoring data during the trial period. We compared outcomes between: (1) the intervention and control arms, and (2) the intervention period and baseline. RESULTS: With 2576 and 2536 pregnancies from 66 and 65 clusters in the intervention and control arms, respectively, the estimated risk ratios for receiving any ANC was 1.05 (95% CI 1.02 to 1.07), four or more ANC visits was 1.25 (95% CI 1.08 to 1.43) and ANC initiated in the first trimester was 1.11 (95% CI 1.02 to 1.19), relative to the controls; no differences in institutional delivery were found. However, both arms achieved large improvements in institutional delivery, compared with baseline. Monitoring data show that 19% and 2% of registered pregnancies received at least eight ANC contacts in the intervention and control arms, respectively. Six clusters, three from each arm had to be dropped in the last 2 years of the trial. CONCLUSIONS: Proactive home visits increased ANC and the number of antenatal contacts at the clinic and community levels. ANC and institutional delivery can be increased when provided without fees from professional CHWs in upgraded primary care clinics. TRIAL REGISTRATION NUMBER: NCT02694055.

Effect of mobile application user interface improvements on minimum expected home visit coverage by community health workers in Mali: a randomised controlled trial.

BACKGROUND: Proactive community case management (ProCCM) has shown promise to advance goals of universal health coverage (UHC). ProCCM community health workers (CHWs) face operational challenges when pursuing their goal of visiting every household in their service area at least twice monthly to proactively find sick patients. We developed a software extension (UHC Mode) to an existing CHW mobile application featuring user interface design improvements to support CHWs in planning daily home visits. We evaluated the effect of UHC Mode on minimum expected home visit coverage. METHODS: We conducted a parallel-group, two-arm randomised controlled trial of ProCCM CHWs in two separate regions in Mali. CHWs were randomly assigned to UHC Mode or the standard mobile application (control) with a 1:1 allocation. Randomisation was stratified by health catchment area. CHWs and other programme personnel were not masked to arm allocation. CHWs used their assigned intervention for 4 months. Using a difference-in-differences analysis, we estimated the mean change in minimum expected home visit coverage from preintervention to postintervention between arms. RESULTS: Enrolment occurred in January 2019. Of 199 eligible CHWs randomised to the intervention or control arm, 196 were enrolled and 195 were included in the analysis. Households whose CHW used UHC Mode had 2.41 times higher odds of minimum expected home visit coverage compared with households whose CHW used the control (95% CI 1.68 to 3.47; p<0.0005). Minimum expected home visit coverage in the UHC Mode arm increased 13.6 percentage points (95% CI 8.1 to 19.0) compared with the control arm. CONCLUSION: Our findings suggest UHC Mode is an effective tool that can improve home visit coverage and promote progress towards UHC when implemented in the ProCCM context. User interface design of health information systems that supports health workers' daily practices and meets their requirements can have a positive impact on health worker performance and home visit coverage. TRIAL REGISTRATION NUMBER: NCT04106921.

Relationship between symptoms, barriers to care and healthcare utilisation among children under five in rural Mali.

OBJECTIVES: To identify social and structural barriers to timely utilisation of qualified providers among children under five years in a high-mortality setting, rural Mali and to analyse how utilisation varies by symptom manifestation. METHODS: Using baseline household survey data from a cluster-randomised trial, we assessed symptom patterns and healthcare trajectories of 5117 children whose mothers reported fever, diarrhoea, bloody stools, cough and/or fast breathing in the preceding two weeks. We examine associations between socio-demographic factors, symptoms and utilisation outcomes in mixed-effect logistic regressions. RESULTS: Almost half of recently ill children reported multiple symptoms (46.2%). Over half (55.9%) received any treatment, while less than one-quarter (21.7%) received care from a doctor, nurse, midwife, trained community health worker or pharmacist within 24 h of symptom onset. Distance to primary health facility, household wealth and maternal education were consistently associated with better utilisation outcomes. While children with potentially more severe symptoms such as fever and cough with fast breathing or diarrhoea with bloody stools were more likely to receive any care, they were no more likely than children with fever to receive timely care with a qualified provider. CONCLUSIONS: Even distances as short as 2-5 km significantly reduced children's likelihood of utilising healthcare relative to those within 2 km of a facility. While children with symptoms indicative of pneumonia and malaria were more likely to receive any care, suggesting mothers and caregivers recognised potentially severe illness, multiple barriers to care contributed to delays and low utilisation of qualified providers, illustrating the need for improved consideration of barriers.

Women's empowerment, intrahousehold influences, and health system design on modern contraceptive use in rural Mali: a multilevel analysis of cross-sectional survey data.

BACKGROUND: Persistent challenges in meeting reproductive health and family planning goals underscore the value in determining what factors can be leveraged to facilitate modern contraceptive use, especially in poor access settings. In Mali, where only 15% of reproductive-aged women use modern contraception, understanding how women's realities and health system design influence contraceptive use helps to inform strategies to achieve the nation's target of 30% by 2023. METHODS: Using household survey data from the baseline round of a cluster-randomized trial, including precise geolocation data from all households and public sector primary health facilities, we used a multilevel model to assess influences at the individual, household, community, and health system levels on women's modern contraceptive use. In a three-level, mixed-effects logistic regression, we included measures of women's decision-making and mobility, as well as socio-economic sources of empowerment (education, paid labor), intrahousehold influences in the form of a co-residing user, and structural factors related to the health system, including distance to facility. RESULTS: Less than 5% of the 14,032 women of reproductive age in our study used a modern method of contraception at the time of the survey. Women who played any role in decision-making, who had any formal education and participated in any paid labor, were more likely to use modern contraception. Women had three times the odds of using modern contraception if they lived in a household with another woman, typically a co-wife, who also used a modern method. Compared to women closest to a primary health center, those who lived between 2 and 5 km were half as likely to use modern contraception, and those between 5 and 10 were a third as likely. CONCLUSIONS: Despite chronically poor service availability across our entire study area, some women-even pairings of women in single households-transcended barriers to use modern contraception. When planning and implementing strategies to expand access to contraception, policymakers and practitioners should consider women's empowerment, social networks, and health system design. Accessible and effective health systems should reconsider the conventional approach to community-based service delivery, including distance as a barrier only beyond 5 km.

RéSUMé: CONTEXTE: Au Mali, où seulement 15% des femmes en âge de procréer utilisent les contraceptifs modernes, la compréhension des réalités des femmes et de la conception du système de santé aident à éclairer les stratégies pour atteindre l'objectif national de 30% d'ici 2023. MéTHODES: En utilisant les données d'enquête de base d'un essai randomisé en grappes, avec la géolocalisation précise de tous les ménages et centres de santé publiques, nous avons utilisé un modèle à plusieurs niveaux pour évaluer l'influence de l'individu, du ménage, de la communauté et du système de santé sur l'utilisation de la contraception moderne. Nous avons utilisé la régression logistique à effets mixtes pour mesurer l'autonomisation et ses sources socio-économiques (éducation, travail rémunéré), les influences intra-ménages sous forme d'une utilisatrice co-résidante et les facteurs structurels liés au système de santé. RéSULTATS: Moins de 5% des 14 032 femmes en âge de procréer utilisaient la contraception moderne au moment de l'enquête. Les femmes jouant un rôle dans la prise de décision, celles ayant une éducation formelle, un travail rémunéré, étaient plus susceptibles d'utiliser les contraceptifs modernes. Les femmes avaient trois fois plus de chances de faire la contraception moderne si elles vivaient dans un ménage avec une autre femme, généralement une coépouse, qui utilisait une méthode moderne. Comparées aux femmes les plus proches d'un centre de santé, celles qui vivaient entre 2 and 5 kilomètres étaient deux fois moins susceptibles d'utiliser un contraceptif moderne et celles entre 5 and 10 étaient plus susceptibles dans un tiers des cas. CONCLUSIONS: Malgré une faible disponibilité des services dans toute la zone d'étude, certaines femmes­même celles en cohabitation­ont pu surmonter les barrières à l'utilisation des contraceptifs modernes. Lors de la planification et de la mise en œuvre de stratégies pour élargir l'accès à la contraception, les décideurs et les praticiens devraient tenir compte de l'autonomisation des femmes, des réseaux sociaux, et de la conception du système de santé. Les systèmes de santé accessibles et efficaces devraient reconsidérer l'approche conventionnelle de la prestation de services communautaires, en prenant en compte la distance même à moins de 5 kilomètres.

Compensation models for community health workers: Comparison of legal frameworks across five countries.

BACKGROUND: Despite the life-saving work they perform, community health workers (CHWs) have long been subject to global debate about their remuneration. There is now, however, an emerging consensus that CHWs should be paid. As the discussion evolves from whether to financially remunerate CHWs to how to do so, there is an urgent need to better understand the types of CHW payment models and their implications. METHODS: This study examines the legal framework on CHW compensation in five countries: Brazil, Ghana, Nigeria, Rwanda, and South Africa. In order to map the characteristics of each approach, a review of the regulatory framework governing CHW compensation in each country was undertaken. Law firms in each of the five countries were engaged to support the identification and interpretation of relevant legal documents. To guide the search and aid in the creation of uniform country profiles, a standardized set of questions was developed, covering: (i) legal requirements for CHW compensation, (ii) CHW compensation mechanisms, and (iii) CHW legal protections and benefits. RESULTS: The five countries profiled represent possible archetypes for CHW compensation: Brazil (public), Ghana (volunteer-based), Nigeria (private), Rwanda (cooperatives with performance based incentives) and South Africa (hybrid public/private). Advantages and disadvantages of each model with respect to (i) CHWs, in terms of financial protection, and (ii) the health system, in terms of ease of implementation, are outlined. CONCLUSIONS: While a strong legal framework does not necessarily translate into high-quality implementation of compensation practices, it is the first necessary step. Certain approaches to CHW compensation - particularly public-sector or models with public sector wage floors - best institutionalize recommended CHW protections. Political will and long-term financing often remain challenges; removing ecosystem barriers - such as multilateral and bilateral restrictions on the payment of salaries - can help governments institutionalize CHW payment.

Household factors and under-five mortality in Bankass, Mali: results from a cross-sectional survey.

BACKGROUND: Rural parts of Mali carry a disproportionate burden of the country's high under-five mortality rate. A range of household factors are associated with poor under-five health in resource-limited settings. However, it is unknown which most influence the under-five mortality rate in rural Mali. We aimed to describe household factors associated with under-five mortality in Bankass, a remote region in central Mali. METHODS: We analysed baseline household survey data from a trial being conducted in Bankass. The survey was administered to households between December 2016 and January 2017. Under-five deaths in the five years prior to baseline were documented along with detailed information on household factors and women's birth histories. Factors associated with under-five mortality were analysed using Cox regression. RESULTS: Our study population comprised of 17,408 under-five children from 8322 households. In the five years prior to baseline, the under-five mortality rate was 152.6 per 1000 live births (158.8 and 146.0 per 1000 live births for males and females, respectively). Living a greater distance from a primary health center was associated with a higher probability of under-five mortality for both males (adjusted hazard ratio [aHR] 1.53 for ≥10 km versus < 2 km, 95% confidence interval [CI] 1.25-1.88) and females (aHR 1.59 for ≥10 km versus < 2 km, 95% CI 1.27-1.99). Under-five male mortality was additionally associated with lower household wealth quintile (aHR 1.47 for poorest versus wealthiest, 95%CI 1.21-1.78), lower reading ability among women of reproductive age in the household (aHR 1.73 for cannot read versus can read, 95%CI 1.04-2.86), and living in a household with access to electricity (aHR 1.16 for access versus no access, 95%CI 1.00-1.34). CONCLUSIONS: U5 mortality is very high in Bankass and is associated with living a greater distance from healthcare and several other household factors that may be amenable to intervention or facilitate program targeting.

Prioritising the role of community health workers in the COVID-19 response.

COVID-19 disproportionately affects the poor and vulnerable. Community health workers are poised to play a pivotal role in fighting the pandemic, especially in countries with less resilient health systems. Drawing from practitioner expertise across four WHO regions, this article outlines the targeted actions needed at different stages of the pandemic to achieve the following goals: (1) PROTECT healthcare workers, (2) INTERRUPT the virus, (3) MAINTAIN existing healthcare services while surging their capacity, and (4) SHIELD the most vulnerable from socioeconomic shocks. While decisive action must be taken now to blunt the impact of the pandemic in countries likely to be hit the hardest, many of the investments in the supply chain, compensation, dedicated supervision, continuous training and performance management necessary for rapid community response in a pandemic are the same as those required to achieve universal healthcare and prevent the next epidemic.

Proactive community case management and child survival: protocol for a cluster randomised controlled trial.

INTRODUCTION: Community health workers (CHWs)-shown to improve access to care and reduce maternal, newborn, and child morbidity and mortality-are re-emerging as a key strategy to achieve health-related Sustainable Development Goals (SDGs). However, recent evaluations of national programmes for CHW-led integrated community case management (iCCM) of common childhood illnesses have not found benefits on access to care and child mortality. Developing innovative ways to maximise the potential benefits of iCCM is critical to achieving the SDGs. METHODS AND ANALYSIS: An unblinded, cluster randomised controlled trial in rural Mali aims to test the efficacy of the addition of door-to-door proactive case detection by CHWs compared with a conventional approach to iCCM service delivery in reducing under-five mortality. In the intervention arm, 69 village clusters will have CHWs who conduct daily proactive case-finding home visits and deliver doorstep counsel, care, referral and follow-up. In the control arm, 68 village clusters will have CHWs who provide the same services exclusively out of a fixed community health site. A baseline population census will be conducted of all people living in the study area. All women of reproductive age will be enrolled in the study and surveyed at baseline, 12, 24 and 36 months. The survey includes a life table tracking all live births and deaths occurring prior to enrolment through the 36 months of follow-up in order to measure the primary endpoint: under-five mortality, measured as deaths among children under 5 years of age per 1000 person-years at risk of mortality. ETHICS AND DISSEMINATION: The trial has received ethical approval from the Ethics Committee of the Faculty of Medicine, Pharmacy and Dentistry, University of Bamako. The results will be disseminated through peer-reviewed publications, national and international conferences and workshops, and media outlets. TRIAL REGISTRATION NUMBER: NCT02694055; Pre-results.

Proactive case detection of common childhood illnesses by community health workers: a systematic review.

INTRODUCTION: Identifying design features and implementation strategies to optimise community health worker (CHW) programmes is important in the context of mixed results at scale. We systematically reviewed evidence of the effects of proactive case detection by CHWs in low-income and middle-income countries (LMICs) on mortality, morbidity and access to care for common childhood illnesses. METHODS: Published studies were identified via electronic databases from 1978 to 2017. We included randomised and non-randomised controlled trials, controlled before-after studies and interrupted time series studies, and assessed their quality for risk of bias. We reported measures of effect as study investigators reported them, and synthesised by outcomes of mortality, disease prevalence, hospitalisation and access to treatment. We calculated risk ratios (RRs) as a principal summary measure, with CIs adjusted for cluster design effect. RESULTS: We identified 14 studies of 11 interventions from nine LMICs that met inclusion criteria. They showed considerable diversity in intervention design and implementation, comparison, outcomes and study quality, which precluded meta-analysis. Proactive case detection may reduce infant mortality (RR: 0.52-0.94) and increase access to effective treatment (RR: 1.59-4.64) compared with conventional community-based healthcare delivery (low certainty evidence). It is uncertain whether proactive case detection reduces mortality among children under 5 years (RR: 0.04-0.80), prevalence of infectious diseases (RR: 0.06-1.02), hospitalisation (RR: 0.38-1.26) or increases access to prompt treatment (RR: 1.00-2.39) because the certainty of this evidence is very low. CONCLUSION: Proactive case detection may provide promising benefits for child health, but evidence is insufficient to draw conclusions. More research is needed on proactive case detection with rigorous study designs that use standardised outcomes and measurement methods, and report more detail on complex intervention design and implementation. PROSPERO REGISTRATION NUMBER: CRD42017074621.

Improving Community Health Worker performance by using a personalised feedback dashboard for supervision: a randomised controlled trial.

BACKGROUND: Countries across sub-Saharan Africa are scaling up Community Health Worker (CHW) programmes, yet there remains little high-quality research assessing strategies for CHW supervision and performance improvement. This randomised controlled trial aimed to determine the effect of a personalised performance dashboard used as a supervision tool on the quantity, speed, and quality of CHW care. METHODS: We conducted a randomised controlled trial in a large health catchment area in peri-urban Mali. One hundred forty-eight CHWs conducting proactive case-finding home visits were randomly allocated to receive individual monthly supervision with or without the CHW Performance Dashboard from January to June 2016. Randomisation was stratified by CHW supervisor, level of CHW experience, and CHW baseline performance for monthly quantity of care (number of household visits). With regression analysis, we used a difference-in-difference model to estimate the effect of the intervention on monthly quantity, timeliness (percentage of children under five treated within 24 hours of symptom onset), and quality (percentage of children under five treated without protocol error) of care over a six-month post-intervention period relative to a three-month pre-intervention period. RESULTS: Use of the Dashboard during monthly supervision significantly increased the mean number of home visits by 39.94 visits per month (95% CI = 3.56-76.3; P = 0.031). Estimated effects on secondary outcomes of timeliness and quality were positive but not statistically significant. Across both study arms, CHW quantity, timeliness, and quality of care significantly improved over the study period, during which time all CHWs received dedicated monthly supervision, although effects plateaued over time. CONCLUSIONS: Our findings suggest that dedicated monthly supervision and personalised feedback using performance dashboards can increase CHW productivity. Further operational research is needed to understand how to sustain the performance improvements over time. TRIAL REGISTRATION: ClinicalTrials.gov (NCT03684551).

Proactive community case management and child survival in periurban Mali.

The majority of the world's population lives in urban areas, and regions with the highest under-five mortality rates are urbanising rapidly. This 7-year interrupted time series study measured early access to care and under-five mortality over the course of a proactive community case management (ProCCM) intervention in periurban Mali. Using a cluster-based, population-weighted sampling methodology, we conducted independent cross-sectional household surveys at baseline and at 12, 24, 36, 48, 60, 72 and 84 months later in the intervention area. The ProCCM intervention had five key components: (1) active case detection by community health workers (CHWs), (2) CHW doorstep care, (3) monthly dedicated supervision for CHWs, (4) removal of user fees and (5) primary care infrastructure improvements and staff capacity building. Under-five mortality rate was calculated using a Cox proportional hazard survival regression. We measured the percentage of children initiating effective antimalarial treatment within 24 hours of symptom onset and the percentage of children reported to be febrile within the previous 2 weeks. During the intervention, the rate of early effective antimalarial treatment of children 0-59 months more than doubled, from 14.7% in 2008 to 35.3% in 2015 (OR 3.198, P<0.0001). The prevalence of febrile illness among children under 5 years declined after 7 years of the intervention from 39.7% at baseline to 22.6% in 2015 (OR 0.448, P<0.0001). Communities where ProCCM was implemented have achieved an under-five mortality rate at or below 28/1000 for the past 6 years. In 2015, under-five mortality was 7/1000 (HR 0.039, P<0.0001). Further research is needed to elucidate the mechanisms of action and generalizability of ProCCM.

Assessing early access to care and child survival during a health system strengthening intervention in Mali: a repeated cross sectional survey.

BACKGROUND: In 2012, 6.6 million children under age five died worldwide, most from diseases with known means of prevention and treatment. A delivery gap persists between well-validated methods for child survival and equitable, timely access to those methods. We measured early child health care access, morbidity, and mortality over the course of a health system strengthening model intervention in Yirimadjo, Mali. The intervention included Community Health Worker active case finding, user fee removal, infrastructure development, community mobilization, and prevention programming. METHODS AND FINDINGS: We conducted four household surveys using a cluster-based, population-weighted sampling methodology at baseline and at 12, 24, and 36 months. We defined our outcomes as the percentage of children initiating an effective antimalarial within 24 hours of symptom onset, the percentage of children reported to be febrile within the previous two weeks, and the under-five child mortality rate. We compared prevalence of febrile illness and treatment using chi-square statistics, and estimated and compared under-five mortality rates using Cox proportional hazard regression. There was a statistically significant difference in under-five mortality between the 2008 and 2011 surveys; in 2011, the hazard of under-five mortality in the intervention area was one tenth that of baseline (HR 0.10, p<0.0001). After three years of the intervention, the prevalence of febrile illness among children under five was significantly lower, from 38.2% at baseline to 23.3% in 2011 (PR = 0.61, p = 0.0009). The percentage of children starting an effective antimalarial within 24 hours of symptom onset was nearly twice that reported at baseline (PR = 1.89, p = 0.0195). CONCLUSIONS: Community-based health systems strengthening may facilitate early access to prevention and care and may provide a means for improving child survival.

5-SPICE: the application of an original framework for community health worker program design, quality improvement and research agenda setting.

INTRODUCTION: Despite decades of experience with community health workers (CHWs) in a wide variety of global health projects, there is no established conceptual framework that structures how implementers and researchers can understand, study and improve their respective programs based on lessons learned by other CHW programs. OBJECTIVE: To apply an original, non-linear framework and case study method, 5-SPICE, to multiple sister projects of a large, international non-governmental organization (NGO), and other CHW projects. DESIGN: Engaging a large group of implementers, researchers and the best available literature, the 5-SPICE framework was refined and then applied to a selection of CHW programs. Insights gleaned from the case study method were summarized in a tabular format named the '5×5-SPICE charts'. This format graphically lists the ways in which essential CHW program elements interact, both positively and negatively, in the implementation field. RESULTS: The 5×5-SPICE charts reveal a variety of insights that come from a more complex understanding of how essential CHW projects interact and influence each other in their unique context. Some have been well described in the literature previously, while others are exclusive to this article. An analysis of how best to compensate CHWs is also offered as an example of the type of insights that this method may yield. CONCLUSIONS: The 5-SPICE framework is a novel instrument that can be used to guide discussions about CHW projects. Insights from this process can help guide quality improvement efforts, or be used as hypothesis that will form the basis of a program's research agenda. Recent experience with research protocols embedded into successfully implemented projects demonstrates how such hypothesis can be rigorously tested.

Hidden costs: the direct and indirect impact of user fees on access to malaria treatment and primary care in Mali.

About 20 years after initial calls for the introduction of user fees in health systems in sub-Saharan Africa, a growing coalition is advocating for their removal. Several African countries have abolished user fees for health care for some or all of their citizens. However, fee-for-service health care delivery remains a primary health care funding model in many countries in sub-Saharan Africa. Although the impact of user fees on utilization of health services and household finances has been studied extensively, further research is needed to characterize the multi-faceted health and social problems associated with charging user fees. This ethnographic study aims to identify consequences of user fees on gender inequality, food insecurity, and household decision-making for a group of women living in poverty. Ethnographic life history interviews were conducted with 24 women in Yirimadjo, Mali in 2007. Purposive sampling selected participants across a broad socio-economic spectrum. Semi-structured interviews addressed participants' past medical history, socio-economic status, social and family history, and access to health care. Interview transcripts were coded using the guiding analytical framework of structural violence. Interviews revealed that user fees for health care not only decreased utilization of health services, but also resulted in delayed presentation for care, incomplete or inadequate care, compromised food security and household financial security, and reduced agency for women in health care decision making. The effects of user fees were amplified by conditions of poverty, as well as gender and health inequality; user fees in turn reinforced the inequalities created by those very conditions. The qualitative data reveal multi-faceted health and socioeconomic effects of user fees, and illustrate that user fees for health care may impact quality of care, health outcomes, food insecurity, and gender inequality, in addition to impacting health care utilization and household finances. As many countries consider user fee abolition policies, these findings indicate the need to create a broader evaluation framework-one that can measure the health and socioeconomic impacts of user fee polices and of their removal.

The role of the human ventral premotor cortex in counting successive stimuli.

Adult humans have the ability to count large numbers of successive stimuli exactly. What brain areas underlie this uniquely human process? To identify the candidate brain areas, we first used functional magnetic resonance imaging, and found that the upper part of the left ventral premotor cortex was preferentially activated during counting of successive sensory stimuli presented 10-22 times, while the area was not activated during small number counting up to 4. We then used transcranial magnetic stimulation to assess the necessity of this area, and found that stimulation of this area preferentially disrupted subjects' exact large number enumeration. Stimulation to the area affected neither subjects' number word perception nor their ability to perform a non-numerical sequential letter task. While further investigation is necessary to determine the precise role of the left ventral premotor cortex, the results suggest that the area is indispensably involved for large number counting of successive stimuli, at least for the types of tasks in this study.

Neural correlates of counting of sequential sensory and motor events in the human brain.

Little is known about the ability to enumerate small numbers of successive stimuli and movements. It is possible that there exist neural substrates that are consistently recruited both to count sensory stimuli from different modalities and for counting movements executed by different effectors. Here, we identify a network of areas that was involved in enumerating small numbers of auditory, visual, and somatosensory stimuli, and in enumerating sequential movements of hands and feet, in the bilateral premotor cortex, presupplementary motor area, posterior temporal cortex, and thalamus. The most significant consistent activation across sensory and motor counting conditions was found in the lateral premotor cortex. Lateral premotor activation was not dependent on movement preparation, stimulus presentation timing, or number word verbalization. Movement counting, but not sensory counting, activated the anterior parietal cortex. This anterior parietal area may correspond to an area recruited for movement counting identified by recent single-neuron studies in monkeys. These results suggest that overlapping but not identical networks of areas are involved in counting sequences of sensory stimuli and sequences of movements in the human brain.