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Introduction Geographic inaccessibility disproportionately affects health outcomes of rural populations due to lack of suitable transport, prolonged travel time, and poverty. Rural patients are left with few transport options to travel to a health facility. One common option is to travel by foot, which may present additional challenges, such as perceived lack of safety while transiting. We examined the correlates of perceived lack of safety when walking to a health facility and its association with treatment and psychosocial outcomes among adults living with HIV. Methods Data were collected from 101 adults living with HIV in Eastern Province, Zambia. All participants were receiving antiretroviral therapy at one of two health clinics. Perceived lack of safety was measured by asking respondents whether they felt unsafe traveling to and from the health facility in which they were receiving their HIV care. Outcomes included medication adherence, perceived stress, hope for the future, and barriers to pill taking. Linear and logistic regression methods were used to examine the correlates of perceived safety and its association with health outcomes. Results Being older, a woman, having a primary education, living farther from a health facility, traveling longer to reach a health facility, and owing money were associated with higher likelihood of feeling unsafe when traveling by foot to health facility. Perceived lack of safety was associated with medication nonadherence, higher level of stress, lower level of agency, and more barriers to pill taking. Conclusions Perceived lack of safety when traveling by foot to a health facility may be a barrier to better treatment and psychosocial outcomes, especially among rural patients. Practitioners and policymakers should consider implementation of differentiated HIV service delivery models to reduce frequent travel to health facilities and to alleviate ART patients’ worry about lack of safety when traveling by foot to a health facility.

A comprehensive district-strengthening approach to address maternal and newborn health was estimated to cost US$177 per life-year gained in Uganda and $206 per life-year gained in Zambia. The approach represents a very cost-effective health investment compared to GDP per capita., The primary objective of this study was to estimate the costs and the incremental cost-effectiveness of maternal and newborn care associated with the Saving Mothers, Giving Life (SMGL) initiative—a comprehensive district-strengthening approach addressing the 3 delays associated with maternal mortality—in Uganda and Zambia. To assess effectiveness, we used a before-after design comparing facility outcome data from 2012 (before) and 2016 (after). To estimate costs, we used unit costs collected from comparison districts in 2016 coupled with data on health services utilization from 2012 in SMGL-supported districts to estimate the costs before the start of SMGL. We collected data from health facilities, ministerial health offices, and implementing partners for the year 2016 in 2 SMGL-supported districts in each country and in 3 comparison non-SMGL districts (2 in Zambia, 1 in Uganda). Incremental costs for maternal and newborn health care per SMGL-supported district in 2016 was estimated to be US$845,000 in Uganda and $760,000 in Zambia. The incremental cost per delivery was estimated to be $38 in Uganda and $95 in Zambia. For the districts included in this study, SMGL maternal and newborn health activities were associated with approximately 164 deaths averted in Uganda and 121 deaths averted in Zambia in 2016 compared to 2012. In Uganda, the cost per death averted was $10,311, or $177 per life-year gained. In Zambia, the cost per death averted was $12,514, or $206 per life-year gained. The SMGL approach can be very cost-effective, with the cost per life-year gained as a percentage of the gross domestic product (GDP) being 25.6% and 16.4% in Uganda and Zambia, respectively. In terms of affordability, the SMGL approach could be paid for by increasing health spending from 7.3% to 7.5% of GDP in Uganda and from 5.4% to 5.8% in Zambia.

BackgroundWith progress towards universal health coverage (UHC) the disease burden of non-communicable diseases (NCDs) in LMICs is increasing while inequalities in healthcare access exist. We aimed to investigate whether health insurance enables people with NCDs to utilize health services more than their counterparts without insurance.MethodsUsing a quantitative research method and data from the Zambia Household Health Expenditure Utilization Survey (ZHHEUS, 2013) conducted in 2013, we focussed on the people who recalled visiting a health facility a month prior to the survey, 8,146 of whom said yes. Approximately 2247 had an NCD while 229 were covered by health insurance. Only women age 15-49 and men age 15-59 who were interviewed for information regarding themselves and other members of the household. The survey included questions on demographics, health status (self-rated health); illness experiences, healthcare utilization (visits, admission, type of providers sought, health expenditure); and insurance cover. Specifically, individuals were asked if they had visited a health facility in the 4 weeks preceding the survey. ResultsWe find that NCDs are associated with an increase in healthcare use (5.4 percentage points (pp); 95% CI -0.28 to 0.09; p=

The burden of road traffic accidents has been increasing globally with Injuries and deaths from road traffic accidents accounting for a significant share of the global disease burden. This is evident especially in low and middle income countries (LMICs), were these injuries and deaths account for a reasonable share of the disease burden. In Zambia, for example, road traffic accidents are the third leading cause of death after HIV/AIDS and Malaria and more than half of these accidents happen at night. To reverse the growing incidence of road crushes, the government of Zambia put a ban on night travel for public service vehicles in November, 2016. While other countries such as Kenya have implemented similar bans, there is no evidence on the extent to which such a ban may reduce accidents. Objective to examine the effect of the night travel ban on road traffic accidents in Zambia after the implementation of the night travel ban. The study set out to established whether there was a change in the number of accidents. Design the study design was a single group interrupted time series analysis. Administrative data on road traffic accidents in Zambia for the period 1964 to 2018 was used. Setting this research was a national study, therefore it encompassed national statistics on road accidents of the entire country of Zambia. Main outcome measure The total counts of road traffic accidents in Zambia recorded during the study period 1964 to 2018. Results it was found that the night travel ban reduced the number of road crushes by 1,211 within one year of implementing the intervention. (p value 0.001, CI −1878.079 to −543.130). Conclusion the night travel ban may be an effective way of reducing the burden of road traffic injuries in Zambia and other LMICs. Section 1: What is already known on this topic In Zambia, there is a high number of road traffic accidents that occur during the night compared to the day time (fisa et al, 2019, ikabungo 2015 and patel 1979). Interventions have been put in place to reduce the number of accidents but there is no evidence of their effectiveness. In light of the lack of evidence of such interventions, the study was carried out to provide evidence to policy makers so that their decisions can be evidence based. Section 2: what the study adds Our study suggests that the policy proved to be effective in reducing the total number of accidents in Zambia. This study provides evidence of the effectiveness of an intervention which in turn provides policy makers with grounds on which to maintain such a policy. The study triggers further research on other effects of banning night time travel Copyright/licence for publication The Corresponding Author has the right to grant on behalf of all authors and does grant on behalf of all authors, a worldwide licence to the Publishers and its licensees in perpetuity, in all forms, formats and media (whether known now or created in the future), to i) publish, reproduce, distribute, display and store the Contribution, ii) translate the Contribution into other languages, create adaptations, reprints, include within collections and create summaries, extracts and/or, abstracts of the Contribution, iii) create any other derivative work(s) based on the Contribution, iv) to exploit all subsidiary rights in the Contribution, v) the inclusion of electronic links from the Contribution to third party material where- ever it may be located; and, vi) licence any third party to do any or all of the above.”

Introduction Active-case finding (ACF) programs have an important role in addressing case detection gaps and halting tuberculosis (TB) transmission. Evidence is limited on the cost-effectiveness of ACF interventions, particularly on how their value is impacted by different operational, epidemiological and patient care-seeking patterns. Methods We evaluated the costs and cost-effectiveness of a combined facility and community-based ACF intervention in Zambia that utilized mobile chest X-ray with computer-aided reading/interpretation software and laboratory-based Xpert MTB/RIF testing. Programmatic costs (in 2018 US dollars) were assessed from the health system perspective using prospectively collected cost and operational data. Cost-effectiveness of the ACF intervention was assessed as the incremental cost per TB death averted over a five-year time horizon using a multi-stage Markov state-transition model reflecting patient symptom-associated care-seeking and TB care under ACF compared to passive care. Results Over 18 months of field operations, the ACF intervention costed $435 to diagnose and initiate treatment for one person with TB. After accounting for patient symptom-associated care-seeking patterns in Zambia, we estimate that this one-time ACF intervention would incrementally diagnose 407 (7,207 versus 6,800) TB patients and avert 502 (611 versus 1,113) TB-associated deaths compared to the status quo (passive case finding), at an incremental cost of $2,284 per death averted over the next five-year period. HIV/TB mortality rate, patient symptom-associated care-seeking probabilities in the absence of ACF, and the costs of ACF patient screening were key drivers of cost-effectiveness. Conclusions A one-time comprehensive ACF intervention simultaneously operating in public health clinics and corresponding catchment communities can have important medium-term impact on case-finding and be cost-effective in Zambia. The value of such interventions increases if targeted to populations with high HIV/TB mortality, substantial barriers (both behavioral and physical) to care-seeking exist, and when ACF interventions can optimize screening by achieving operational efficiency.

BackgroundAs most low and middle-income countries seek to achieve universal health coverage targets, there is an ever-increasing need to train human resources with the required core skills and competencies. This study reports on a needs assessment conducted among health services organisations (HSOs) to understand postgraduate training needs and service gaps for selected public health disciplines – Health Policy and Systems, Health Economics, and Healthcare Management and Planning – at the University of Zambia.MethodsThe study adopted a cross-sectional design, comprising qualitative and quantitative components. Data were collected using semi-structured questionnaires administered to 32 representatives of purposively sampled public and private health service organisations based in Lusaka Zambia. The health services organisations included regulatory authorities, research institutions, government ministries, insurance firms and other cooperating partners.ResultsOverall (n = 22), more than 68% of the stakeholders reported that they had no employees that were formally trained in the three disciplines. More than 90% of the stakeholders opined that training in these disciplines would be beneficial in providing competencies to strengthen service provision. The horizontal skills mismatch for health economics, and health services management and planning were found to be 93 and 100%, respectively. Among the critical public health training needs were: policy development and analysis, economic evaluation, and strategic management.ConclusionsThis study confirms that introducing post-graduate training in the proposed public health disciplines will not only benefit Zambian health services organisations but also help strengthen the health systems in general. For other empirical contexts, the findings imply the need for the introduction of academic programmes which respond to ever-changing public health skills demanded. They should be matched with local priorities and service delivery.

In health outcomes terms, the poorest countries stand to lose the most from these disruptions. In this paper, we make the case for a rational approach to public sector health spending and decision making during and in the early recovery phase of the COVID-19 pandemic. Based on ethics and equity principles, it is crucial to ensure that patients not infected by COVID-19 continue to get access to healthcare and that the services they need continue to be resourced. We present a list of 120 essential non-COVID-19 health interventions that were adapted from the model health benefit packages developed by the Disease Control Priorities project.

Zambia removed user fees in publicly supported–government and faith-based–health facilities in 54 out of 72 districts in 2006. This was extended to rural areas of previously unaffected districts in 2007. The natural experiment provided by the step-wise implementation of the removal policy and five waves of nationally representative household survey data enables us to study the impact of the removal policy on utilization and household health expenditure. We find that the policy increased overall use of health services in the short term and the effects were sustained in the long term. The increases were higher for individuals whose household heads were unemployed or had no or less education. The policy also led to a small shift in care seeking from private to publicly supported facilities, an effect driven primarily by individuals whose household heads were either formally employed or engaged in farming. The likelihood of incurring any spending reduced, although this weakened slightly in the long term. At the same time, there was an upward pressure on conditional health expenditure, i.e., expenditure was higher after removal of fees for those who incurred any spending. Hence, total (unconditional) household health expenditure was not significantly affected. publishedVersion

Under-five mortality in Zambia has declined since 1990, with reductions accelerating after 2000. Zambia's scale-up of malaria control is viewed as the driver of these gains, but past studies have not fully accounted for other potential factors. This study sought to systematically evaluate the impact of malaria vector control on under-five mortality. Using a mixed-effects regression model, we quantified the relationship between malaria vector control, other priority health interventions, and socioeconomic indicators and district-level under-five mortality trends from 1990 to 2010. We then conducted counterfactual analyses to estimate under-five mortality in the absence of scaling up malaria vector control. Throughout Zambia, increased malaria vector control coverage coincided with scaling up three other interventions: the pentavalent vaccine, exclusive breast-feeding, and prevention of mother-to-child transmission of HIV services. This simultaneous scale-up made statistically isolating intervention-specific impact infeasible. Instead, in combination, these interventions jointly accelerated declines in under-five mortality by 11% between 2000 and 2010. Zambia's scale-up of multiple interventions is notable, yet our findings highlight challenges in quantifying program-specific impact without better health data and information systems. As countries aim to further improve health outcomes, there is even greater need-and opportunity-to strengthen routine data systems and to develop more rigorous evaluation strategies.

Chronic kidney disease and acute kidney injury are leading causes of mortality and morbidity in sub-Saharan Africa. Chronic kidney disease accounts for 4 million disability-adjusted life-years (DALYs) lost across the continent annually, just behind diabetes (6·4 million DALYs).1 Increases in the prevalence of hypertension and type 2 diabetes are likely to increase the prevalence of chronic kidney disease in Africa, while high rates of intoxication and infections (such as malaria and HIV) drive acute kidney injury. Many people with acute kidney injury or advanced chronic kidney disease (ie, end-stage renal disease) require renal replacement therapy to remain alive.

Background Morbidity and mortality due to pregnancy and childbearing are high in developing countries. This study aims to estimate patient and health system costs of managing pregnancy and birth-related complications in sub-Saharan Africa. Methods A systematic review of the literature was conducted to identify costing studies published and unpublished, from January 2000 to May 2019. The search was done in Pubmed, EMBASE, Cinahl, and Web of Science databases and grey literature. The study was registered in PROSPERO with registration No. CRD42019119316. All costs were converted to 2018 US dollars using relevant Consumer Price Indices. Results Out of 1652 studies identified, 48 fulfilled the inclusion criteria. The included studies were of moderate to high quality. Spontaneous vaginal delivery cost patients and health systems between USD 6–52 and USD 8–73, but cesarean section costs between USD 56–377 and USD 80–562, respectively. Patient and health system costs of abortion range between USD 11–66 and USD 40–298, while post-abortion care costs between USD 21–158 and USD 46–151, respectively. The patient and health system costs for managing a case of eclampsia range between USD 52–231 and USD 123–186, while for maternal hemorrhage they range between USD 65–196 and USD 30–127, respectively. Patient cost for caring low-birth weight babies ranges between USD 38–489 while the health system cost was estimated to be USD 514. Conclusion This is the first systematic review to compile comprehensive up-to-date patient and health system costs of managing pregnancy and birth-related complications in sub-Saharan Africa. It indicates that these costs are relatively high in this region and that patient costs were largely catastrophic relative to a 10 % of average national per capita income.

Globally, life expectancy increased while infant mortality reduced substantially between the 19th and late 20th century. Although there is relatively mature literature on the drivers behind these gains in life expectancy and reductions in infant mortality, there is a dearth of studies that focus on the drivers of health in sub-Saharan African (SSA) countries. The few studies that do exist do not account for a broader array of determinants such as the quality of access to health services and institutional quality which may have important implications for health policy. We contribute in filling this gap by estimating the effect of a rich set of socio-economic, environmental, health system and lifestyle factors on life expectancy and infant mortality using a panel of 30 sub-Saharan African countries. We employ a dynamic Generalized Method of Moments (GMM) estimator and focus on the period between 1995—2014. Our findings show that increases in health expenditure, educational attainment, and health care access quality are associated with increases in life expectancy and reductions in infant mortality. Higher HIV prevalence rates are associated with reductions in life expectancy whereas urbanization, per capita income growth and access to clean water are positively associated with life expectancy. We conclude that increases in life expectancy and reductions in infant mortality can be accelerated by paying particular attention to interventions linked to these drivers, including, health care access quality.

Childhood lead (Pb) poisoning has devastating effects on neurodevelopment and causes overt clinical signs including convulsions and coma. Health effects including hypertension and various reproductive problems have been reported in adults. Historical Pb mining in Zambia's Kabwe town left a legacy of environmental pollution and childhood Pb poisoning. The current study aimed at establishing the extent of Pb poisoning and exposure differences among family members in Kabwe as well as determining populations at risk and identify children eligible for chelation therapy. Blood samples were collected in July and August 2017 from 1190 household members and Pb was measured using a portable LeadCare-II analyser. Participants included 291 younger children (3-months to 3-years-old), 271 older children (4-9-years-old), 412 mothers and 216 fathers from 13 townships with diverse levels of Pb contamination. The Blood Lead Levels (BLL) ranged from 1.65 to 162 mu g/dL, with residents from Kasanda (mean 45.7 mu g/dL) recording the highest BLL while Hamududu residents recorded the lowest (mean 3.3 mu g/dL). Of the total number of children sampled (n = 562), 23% exceeded the 45 mu g/dL, the threshold required for chelation therapy. A few children (5) exceeded the 100 mu g/dL whereas none of the parents exceeded the 100 mu g/dL value. Children had higher BLL than parents, with peak BLL-recorded at the age of 2-years-old. Lead exposure differences in Kabwe were attributed to distance and direction from the mine, with younger children at highest risk. Exposure levels in parents were equally alarming. For prompt diagnosis and treatment, a portable point-of-care devise such as a LeadCare-II would be preferable in Kabwe. (C) 2019 Elsevier Ltd. All rights reserved.

Background Malaria is among the top causes of mortality and morbidity in Zambia. Efforts to control, prevent, and eliminate it have been intensified in the past two decades which has contributed to reductions in malaria prevalence and under-five mortality. However, there was a 21% upsurge in malaria prevalence between 2010 and 2015. Zambia is one of the only 13 countries to record an increase in malaria among 91 countries monitored by the World Health Organization in 2015. This study investigated the upsurge by decomposition of drivers of malaria. Methods The study used secondary data from three waves of nationally representative cross-sectional surveys on key malaria indicators conducted in 2010, 2012 and 2015. Using multivariable logistic regression, determinants of malaria prevalence were identified and then marginal effects of each determinant were derived. The marginal effects were then combined with changes in coverage rates of determinants between 2010 and 2015 to obtain the magnitude of how much each variable contributed to the change in the malaria prevalence. Results The odds ratio of malaria for those who slept under an insecticide-treated net (ITN) was 0.90 (95% CI 0.77–0.97), indoor residual spraying (IRS) was 0.66 (95% CI 0.49–0.89), urban residence was 0.23 (95% CI 0.15–0.37), standard house was 0.40 (95% CI 0.35–0.71) and age group 12–59 Months against those below 12 months was 4.04 (95% CI 2.80–5.81). Decomposition of prevalence changes by determinants showed that IRS reduced malaria prevalence by − 0.3% and ITNs by − 0.2% however, these reductions were overridden by increases in prevalence due to increases in the proportion of more at-risk children aged 12–59 months by + 2.3% and rural residents by + 2.2%. Conclusion The increases in interventions, such as ITNs and IRS, were shown to have contributed to malaria reduction in 2015; however, changes in demographics such as increases in the proportion of more at risk groups among under-five children and rural residents may have overridden the impact of these interventions and resulted in an overall increase. The upsurge in malaria in 2015 compared to 2010 may not have been due to weaknesses in programme interventions but due to increases in more at-risk children and rural residents compared to 2010. The apparent increase in rural residents in the sample population may not have been a true reflection of the population structure but due to oversampling in rural areas which was not fully adjusted for. The increase in malaria prevalence may therefore have been overestimated.

Background Child health interventions were drastically scaled up in the period leading up to 2015 as countries aimed at meeting the 2015 target of the Millennium Development Goals (MDGs). MDGs were defined in terms of achieving improvements in average health. Significant improvements in average child health are documented, but evidence also points to rising inequality. It is important to investigate factors that drive the increasing disparities in order to inform the post-2015 development agenda of reducing inequality, as captured in the Sustainable Development Goals (SDGs). We investigated changes in socioeconomic inequality in stunting and fever in Zambia in 2007 and 2014. Unlike the huge literature that seeks to quantify the contribution of different determinants on the observed inequality at any given time, we quantify determinants of changes in inequality. Methods Data from the 2007 and 2014 waves of the Zambia Demographic and Health Survey (DHS) were utilized. Our sample consisted of children aged 0–5 years (n = 5,616 in 2007 and n = 12,714 in 2014). We employed multilevel models to assess the determinants of stunting and fever, which are two important child health indicators. The concentration index (CI) was used to measure the magnitude of inequality. Changes in inequality of stunting and fever were investigated using Oaxaca-type decomposition of the CI. In this approach, the change in the CI for stunting/fever is decomposed into changes in CI for each determinant and changes in the effect—measured as an elasticity—of each determinant on stunting/fever. Results While average rates of stunting reduced in 2014 socioeconomic inequality in stunting increased significantly. Inequality in fever incidence also increased significantly, but average rates of fever did not reduce. The increase in the inequality (CI) of determinants accounted for the largest part (42.5%) of the increase in inequality of stunting, while the increase in the effect of determinants explained 35% of the increase. The determinants with the greatest total contribution (change in CI plus change in effect) to the increase in inequality of stunting were mother’s height and weight, wealth, birth order, facility delivery, duration of breastfeeding, and maternal education. For fever, almost all (86%) the increase in inequality was accounted for by the increase in the effect of determinants of fever, while the distribution of determinants mattered less. The determinants with the greatest total contribution to the increase in inequality of fever were wealth, maternal education, birth order and breastfeeding duration. In the multilevel model, we found that the likelihood of a child being stunted or experiencing fever depends on the community in which they live. Conclusions To curb the increase in inequality of stunting and fever, policy may focus on improving levels of, and reducing inequality in, access to facility deliveries, maternal nutrition (which may be related to maternal weight and height), complementary feeding (for breastfed children), wealth, maternal education, and child care (related to birth order effects). Improving overall levels of these determinants contribute to the persistence of inequality if these determinants are unequally concentrated on the well off to begin with.

Background Achieving universal health coverage and reducing health inequalities are primary goals for an increasing number of health systems worldwide. Timely and accurate measurements of levels and trends in key health indicators at local levels are crucial to assess progress and identify drivers of success and areas that may be lagging behind. Methods We generated estimates of 17 key maternal and child health indicators for Zambia’s 72 districts from 1990 to 2010 using surveys, censuses, and administrative data. We used a three-step statistical model involving spatial-temporal smoothing and Gaussian process regression. We generated estimates at the national level for each indicator by calculating the population-weighted mean of the district values and calculated composite coverage as the average of 10 priority interventions. Results National estimates masked substantial variation across districts in the levels and trends of all indicators. Overall, composite coverage increased from 46% in 1990 to 73% in 2010, and most of this gain was attributable to the scale-up of malaria control interventions, pentavalent immunization, and exclusive breastfeeding. The scale-up of these interventions was relatively equitable across districts. In contrast, progress in routine services, including polio immunization, antenatal care, and skilled birth attendance, stagnated or declined and exhibited large disparities across districts. The absolute difference in composite coverage between the highest-performing and lowest-performing districts declined from 37 to 26 percentage points between 1990 and 2010, although considerable variation in composite coverage across districts persisted. Conclusions Zambia has made marked progress in delivering maternal and child health interventions between 1990 and 2010; nevertheless, substantial variations across districts and interventions remained. Subnational benchmarking is important to identify these disparities, allowing policymakers to prioritize areas of greatest need. Analyses such as this one should be conducted regularly and feed directly into policy decisions in order to increase accountability at the local, regional, and national levels. Electronic supplementary material The online version of this article (doi:10.1186/s12916-015-0308-5) contains supplementary material, which is available to authorized users.