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Monetary incentives are often used to increase the motivation and output of health service providers. However, the focus has generally been on frontline health service providers. Using a cluster randomized trial, we evaluate the effect of monetary incentives provided to community-based volunteers on early initiation of antenatal care (ANC) visits and deliveries in health facilities in communities in Zambia. Monetary incentives were assigned to community-based volunteers in treatment sites, and payments were made for every woman referred or accompanied in the first trimester of pregnancy during January-June 2020. We find a significant increase of about 32 percent in the number of women completing ANC visits in the first trimester but no effect on service coverage rates. The number of women accompanied by community-based volunteers for ANC in the first trimester increased by 33 percent. The number of deliveries in health facilities also increased by 22 percent. These findings suggest that the use of health facilities during the first trimester of pregnancy can be improved by providing community-based volunteers with monetary incentives and that such incentives can also increase deliveries in health facilities, which are key to improving the survival of women and newborns.

Lead (Pb) pollution has been one of the major environmental problems of worldwide significance. It is a latent factor for several fatal illnesses, whereas the exposure to lead in early childhood causes a lifetime IQ loss. The social cost is the concept to aggregate various adverse effects in a single monetary unit, which is useful in describing the pollution problem and provides foundation for the design of interventions. However, the assessment of the social cost is scarce for developing countries. In this study, we focus on the lead pollution problem of a former mining town, Kabwe, Zambia, where mining wastes abandoned near residential areas has caused a critical pollution problem. We first investigated the social cost of lead pollution that future generations born in 2025–2049 would incur in their lifetime. As the channels of the social cost, we considered the lost income from the IQ loss and the lost lives from lead-related mortality. The results showed that the social cost would amount to 224–593 million USD (discounted to the present value). Our results can be considered conservative, lower bound estimates because we focused only on well-identified effects of lead, but the social cost was still substantial. Then we examined several engineering remediation measures. The results showed that the social cost can be reduced (the benefits of remediations) more than the costs of implementing remediation measures. This study is the first to investigate the social cost of mining-related lead pollution problem in developing countries. Our interdisciplinary approach utilises the micro-level economic, health and pollution data and integrates the techniques in economics, toxicology and engineering. publishedVersion

BackgroundRural areas have the most pressing health needs in most low-and-middle-income countries and yet they face the largest shortage of human resources for health. This reality cripples the already fragile local healthcare systems as they struggle with how best to motivate and retain health workers in rural areas. This study sought explore the factors that shape motivation and retention of primary health workers in rural facilities of Chipata and Chadiza Districts, Zambia.MethodsThe study adopted a qualitative research study design using a phenomenological and exploratory approach. The data consisted of 28 in-depth interviews and observations with health workers at selected rural health facilities in Chipata and Chadiza Districts of the Eastern province of Zambia. Data were analyzed using thematic analysis approach with the use of NVivo software. ResultsThree thematic categories were identified by the participants as factors that influence the motivation and retention of primary health workers in rural facilities. Firstly, opportunities for career advancement through study leave and attendance of workshops accounted for motivation and retention. The second factor was related to the work environment which comes with stimulating tasks, promotion opportunities as well as co-worker recognition and relationships. Thirdly, the rural community dynamics of reduced cost of living, recognition, community and local support, and access to land for farming were found to contribute to the motivation and retention of rural health workers. ConclusionWhile motivational factors vary, opportunities for career advancement, stimulating and challenging tasks, opportunities for promotion, and co-worker recognition are core factors that can engender retention of rural health workers. Interventions are required to enhance rural health worker motivation and retention, including strengthening the supervision system, developing career progression pathways, and ensuring clear and transparent incentives. Strategies around retention need to be addressed as these would better enable rural primary health workers to cope with the challenging conditions they work in rural areas.

Health Technology Assessment (HTA), a tool for priority setting, has emerged as a means of ensuring the sustainability of a Universal Health Coverage (UHC) system. However, setting up an effective HTA system poses multiple challenges and knowledge exchange can play a crucial role in helping countries achieve their UHC targets. This article reports the results of the discussion during a preconference session at the 2019 HTAsiaLink Conference, an annual gathering of HTA agencies in Asia, which supports knowledge transfer and exchange among HTA practitioners. As part of this discourse, 3 main HTA challenges were identified based on experiences of selected countries in Asia and Africa, namely Bhutan, Kenya, Thailand, and Zambia: availability of funding, building technical capacity, and achieving buy-in among stakeholders for successful translation of HTA research into UHC policy. The potential solutions identified through this South-South engagement included establishing a legal mandate for HTA, building local technical capacity through partnerships and enhancing strategic communication with stakeholders to increase awareness, among others. South-South Knowledge Exchange can therefore be instrumental in sharing lessons learned from common challenges and offer potential solutions to address capacity building initiatives for HTA in LMICs., Highlights • Health technology assessment is an effective tool for priority setting for countries seeking to achieve Universal Health Coverage. • Three of the main challenges faced by countries in institutionalizing Health Technology Assessment are limited funding, lack of technical capacity, and stakeholder engagement. • South-South knowledge exchange is a useful means of learning from peers to address challenges.

BackgroundThe burden of road traffic crashes (RTCs) and road traffic fatalities (RTFs) has been increasing in low-income and middle-income countries (LMICs). Most RTCs and RTFs happen at night. Although few countries, including Zambia, have implemented night travel bans, there is no evidence on the extent to which such policies may reduce crashes and fatalities.MethodsWe exploit the quasi-experimental set up afforded by the banning of night travel of public service vehicles in Zambia in 2016 and interrupted time series analysis to assess whether the ban had an impact on both levels and trends in RTCs and RTFs. We use annual administrative data for the period 2006—2020, with 10 pre-intervention and 4 post-intervention data points. In an alternative specification, we restrict the analysis to the period 2012—2020 so that the number of data points are the same pre-interventions and post-interventions. We also carry out robustness checks to rule out other possible explanation of the results including COVID-19.ResultsThe night travel ban was associated with a reduction in the level of RTCs by 4131.3 (annual average RTCs before the policy=17 668) and a reduction in the annual trend in RTCs by 2485.5. These effects were significant at below 1%, and they amount to an overall reduction in RTCs by 24%. The policy was also associated with a 57.5% reduction in RTFs. In absolute terms, the trend in RTFs reduced by 477.5 (Annual average RTFs before the policy=1124.7), which is significant at below 1% level. Our results were broadly unchanged in alternative specifications.ConclusionWe conclude that a night travel ban may be an effective way of reducing the burden of RTCs and RTFs in Zambia and other LMICs. However, complementary policies are needed to achieve more gains.

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=

BackgroundThe HIV/AIDS pandemic has had a very devastating impact at a global level, with the Eastern and Southern African region being the hardest hit. The considerable geographical variation in the pandemic means varying impact of the disease in different settings, requiring differentiated interventions. While information on the prevalence of HIV at regional and national levels is readily available, the burden of the disease at smaller area levels, where health services are organized and delivered, is not well documented. This affects the targeting of HIV resources. There is need for studies to estimate HIV prevalence at appropriate levels to improve HIV related planning and resource allocation. MethodsWe estimated the district level prevalence of HIV using Small-Area Estimation (SAE) technique by utilizing the 2016 Zambia Population-Based HIV Impact Assessment Survey (ZAMPHIA) data and auxiliary data from the 2010 Zambian Census of Population and Housing and the HIV sentinel surveillance data from selected antenatal care clinics (ANC). SAE Models were fitted in R Programming to ascertain the best HIV predicting model. We then used the Fay-Herriot (FH) model to obtain weighted, more precise and reliable HIV prevalence for all the districts.ResultsThe results revealed variations in the district HIV prevalence in Zambia, with the prevalence ranging from as low as 4.2% to as high as 23.5%. Approximately 35% of the districts (n=26) had HIV prevalence above the national average, with one district having almost twice as much prevalence as the national level. Some rural districts have very high HIV prevalence rates. ConclusionsHIV prevalence in Zambian districts is driven by population mobility Districts located near international borders, along the main transit routes and adjacent to other districts with very high prevalence, tend to have high HIV prevalence. The variations in the burden of HIV across districts in Zambia points to the need for a differentiated approaches in HIV programming in Zambia. HIV resources need to be prioritized towards districts with high population mobility.

Background The HIV/AIDS pandemic has had a very devastating impact at a global level, with the Eastern and Southern African region being the hardest hit. The considerable geographical variation in the pandemic means varying impact of the disease in different settings, requiring differentiated interventions. While information on the prevalence of HIV at regional and national levels is readily available, the burden of the disease at smaller area levels, where health services are organized and delivered, is not well documented. This affects the targeting of HIV resources. There is need, therefore, for studies to estimate HIV prevalence at appropriate levels to improve HIV-related planning and resource allocation. Methods We estimated the district-level prevalence of HIV using Small-Area Estimation (SAE) technique by utilizing the 2016 Zambia Population-Based HIV Impact Assessment Survey (ZAMPHIA) data and auxiliary data from the 2010 Zambian Census of Population and Housing and the HIV sentinel surveillance data from selected antenatal care clinics (ANC). SAE models were fitted in R Programming to ascertain the best HIV predicting model. We then used the Fay–Herriot (FH) model to obtain weighted, more precise and reliable HIV prevalence for all the districts. Results The results revealed variations in the district HIV prevalence in Zambia, with the prevalence ranging from as low as 4.2% to as high as 23.5%. Approximately 32% of the districts (n = 24) had HIV prevalence above the national average, with one district having almost twice as much prevalence as the national level. Some rural districts have very high HIV prevalence rates. Conclusions HIV prevalence in Zambian is highest in districts located near international borders, along the main transit routes and adjacent to other districts with very high prevalence. The variations in the burden of HIV across districts in Zambia point to the need for a differentiated approach in HIV programming within the country. HIV resources need to be prioritized toward districts with high population mobility.

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.

Background: While a large literature documents inequalities in healthcare utilization in Zambia, and the rest of sub-Saharan Africa, there has been limited focus on the examination of inequalities in family planning use and in general has increased, health inequalities persist. Similarly, despite the increase in utilization of family planning services from 15% in 1992 to 48% in 2018, the increase has not been equally shared in the population. We examine drivers of socio-economic related inequalities in utilization of family planning services among women of childbearing age in Zambia. Methods: Using secondary data from the 2014 Zambia Demographic and Health Survey (ZDHS), concentration curves and indices are applied to examine how pro-poor and pro-rich the distribution of family planning is. A Blinder-Oaxaca decomposition analysis is conducted to decompose the rural-urban differences in the utilization of family planning services among women of reproductive age. Results: Our findings show that less than half (45%) of the 12,498 respondents used family planning. Use of family planning services was unequally concentrated on the well-off (CI=0.590, P=0.055). The results are mainly driven by inequalities in rural areas (CI=0.4009, P=0.0730) as the distribution of family planning use in urban areas is more equal (CI=0.049, P=0.159). In addition to family planning use being more unequal in rural areas, the proportion of women who use family planning services is 5.16 percentage points lower than in urban areas. The factors accounting for the gap between rural and urban use of family planning, with a tendency to increase it, include wealth (54.79%), tertiary education (79.46%) and age-group of 45-49 years (53.68%). Some factors act to moderate, or reduce this gap and have negative contribution on family planning use. These include women with 7 and more children (-48.22%), being married (-43.45%), primary education (-33.93%) and middle wealth group (-43.75%). Conclusion: Despite progress in the utilisation of family planning services, socioeconomic inequalities have persisted, primarily in rural areas. Interventions to increase family planning use should aim at addressing rural socioeconomic disadvantage, with programs targeting poor women and those with low levels of education. Narrowing the rural-urban gap in family planning use should focus on improving wealth and education of rural women.

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.

Substantial efforts have seen the reduction in malaria prevalence from 33% in 2006 to 19.4% in 2015 in Zambia. Many studies have used effect measures, such as odds ratios, of malaria interventions without combining this information with coverage levels of the interventions to assess how malaria prevalence would change if these interventions were scaled up. We contribute to filling this gap by combining intervention coverage information with marginal predictions to model the extent to which key interventions can bring down malaria in Zambia. We used logistic regression models and derived marginal effects using repeated cross-sectional survey data from the Malaria Indicator Survey (MIS) datasets for Zambia collected in 2010, 2012 and 2015. Average monthly temperature and rainfall data were obtained from climate explorer a satellite-generated database. We then conducted a counterfactual analysis using the estimated marginal effects and various hypothetical levels of intervention coverage to assess how different levels of coverage would affect malaria prevalence. Increasing IRS and ITNs from the 2015 levels of coverage of 28.9% and 58.9% respectively to at least 80% and rising standard housing to 20% from the 13.4% in 2015 may bring malaria prevalence down to below 15%. If the percentage of modern houses were increased further to 90%, malaria prevalence might decrease to 10%. Other than ITN and IRS, streamlining and increasing of the percentage of standard houses in malaria fight would augment and bring malaria down to the levels needed for focal malaria elimination. The effects of ITNs, IRS and Standard housing were pronounced in high than low epidemiological areas.

IntroductionGlobal health research involves disciplines within and beyond the health sciences. A cross-disciplinary collaborative research approach enables an interchange of knowledge and experience and stimulates innovative responses to complex health challenges. However, there is little robust evidence to guide the design and implementation of cross-disciplinary research in global health, hampering effective collective action. This review synthesised evidence on practical actions for fostering cross-disciplinary research to provide guidance on the design and implementation of research in global health.MethodsWe searched five electronic databases using key words. The search included original research and research notes articles in English. We used a framework adapted from the socio-ecological model and thematic synthesis for data analysis.ResultsThirty-six original research and 27 research notes articles were included in the review. These were predominantly from high-income countries and indicated that practical actions on fostering cross-disciplinary research are closely linked to leadership and teamwork which should be planned and implemented at research team and institutional levels. The publications also indicated that individual qualities such as being receptive to new ideas and funders’ power and influence have practical implications for conducting cross-disciplinary research. Practical actions that individuals, research team leaders, academic institutions and funders can undertake to foster cross-disciplinary research were identified.ConclusionOur review found evidence from high-income countries, not low-and-middle-income countries, about practices that can improve cross-disciplinary research in global health. Critical knowledge gaps exist around how leadership and teamwork processes can better integrate expertise from different disciplines to make cross-disciplinary research more effective.

The COVID-19 is disproportionally affecting the poor, minorities and a broad range of vulnerable populations, due to its inequitable spread in areas of dense population and limited mitigation capacity due to high prevalence of chronic conditions or poor access to high quality public health and medical care. Moreover, the collateral effects of the pandemic due to the global economic downturn, and social isolation and movement restriction measures, are unequally affecting those in the lowest power strata of societies. To address the challenges to health equity and describe some of the approaches taken by governments and local organizations, we have compiled 13 country case studies from various regions around the world: China, Brazil, Thailand, Sub Saharan Africa, Nicaragua, Armenia, India, Guatemala, United States of America (USA), Israel, Australia, Colombia, and Belgium. This compilation is by no-means representative or all inclusive, and we encourage researchers to continue advancing global knowledge on COVID-19 health equity related issues, through rigorous research and generation of a strong evidence base of new empirical studies in this field.

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

This study investigates the effect of a disabling health shock, injury, on household health expenditure and welfare in Zambia before and after 2002, a year that marks an end to a period of tightening structural reforms. Results show that injury was associated with lower consumption and reduced earned income in both periods. Injury almost doubled health expenditure after 2002, an effect which was more modest before 2002. Households relied on informal borrowing and selling assets as self‐insurance strategies. These findings suggest that social protection programmes should not only focus on health insurance but also labour income protection. Copyright © 2017 John Wiley & Sons, Ltd.

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: As 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 the needs assessment conducted to understand postgraduate training needs for three selected public health disciplines – Health Policy and Systems, Health Economics, and Healthcare Management and Planning – at the University of Zambia. Methods: The study adopted a cross sectional survey design. Data were collected through semi-structured interviews administered to 32 participants, identified through a comprehensive stakeholder mapping process, holding selected management positions in public and private health service organisations across Zambia. The organisations included regulatory authorities, research institutions, government ministries, insurance firms, multilateral and health services organisations. Results: Overall, 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 key public health training needs were: policy development and analysis, economic evaluation, and strategic management. Conclusions: This 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; and should be matched with local priorities and service delivery. Key words: Health policy & systems, health services management & planning, health economics.

Background A recurring discussion in the literature relates to the possible contradictions among the Sustainable Development Goals (SDGs). The focus has been on economic goals, such as economic growth and goals related to climate change. We explore the possible contradictions that may arise between economic goals and health goals, specifically, the goal on Non-Communicable Diseases (NCDs) — SDG3.4. As a way to achieve SDG3.4, countries have been urged to introduce sin taxes, such as those on sugar. Yet others have argued that such taxes may affect employment (SDG 8.5), economic growth (SDG 8.1), and increase poverty (SDG1). However, there is limited or no reliable evidence, using actual experience, on the effect of sugar tax on health and economic outcomes. This makes it hard to assess the possible contradictions in SDGs that sugar taxes may generate. Main body Using a conceptual framework on SDGs that views relationships among SDGs as either contradictory, reinforcing, or neutral, we carefully consider whether there are contradictions between SDG 3.4 on one hand and SDG 1, SDG 8.1, and SDG 8.5 on the other hand. We illustrate this using Zambia which recently introduced an equivalent 3% tax on non-alcoholic beverages, implicitly targeted at sugar-sweetened beverages (SSBs), given the stated goal of reducing NCDs. Concerns are that such a tax would be detrimental to the Zambia sugar value chain which contributes about 6% to GDP, in which case the achievement of SDG 3.4 (health) would be at odds with, or contradict, SDG 1, SDG 8.1, and SDG 8.5 (poverty eradication, economic growth, and creation of employment). We discuss that the existence of contradictions depend on a number of contextual factors, which allows us to make two conclusions about sugar taxation in Zambia. First, the current tax rate of 3% is likely neutral (no contradictions or reinforcing relationships) because it is too low to have any health or employment effects. However, the revenue raised can be reinvested to improve livelihoods. Secondly, the tax rate should be increased but care has to be exercised to ensure that the rate is not too high to generate contradictions. There will be need to carefully assess important parameters such as elasticities and explore alternative economic livelihoods. Conclusion Without paying due consideration to important contextual factors, Zambia and many LMIC risk experiencing contradictions among SDGs.

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.