Health care seeking in modern urban LMIC settings: evidence from Lusaka, Zambia.

BACKGROUND: In an effort to improve population health, many low- and middle-income countries (LMICs) have expanded access to public primary care facilities and removed user fees for services in these facilities. However, a growing literature suggests that many patients bypass nearby primary care facilities to seek care at more distant or higher-level facilities. Patients in urban areas, a growing segment of the population in LMICs, generally have more options for where to seek care than patients in rural areas. However, evidence on care-seeking trajectories and bypassing patterns in urban areas remains relatively scarce. METHODS: We obtained a complete list of public health facilities and interviewed randomly selected informal sector households across 31 urban areas in Lusaka District, Zambia. All households and facilities listed were geocoded, and care-seeking trajectories mapped across the entire urban area. We analyzed three types of bypassing: i) not using health centers or health posts for primary care; ii) seeking care outside of the residential neighborhood; iii) directly seeking care at teaching hospitals. RESULTS: A total of 620 households were interviewed, linked to 88 health facilities. Among 571 adults who had recently sought non-emergency care, 65% sought care at a hospital. Among 141 children who recently sought care for diarrhea, cough, fever, or fast breathing, 34% sought care at a hospital. 71% of adults bypassed primary care facilities, 26% bypassed health centers and hospitals close to them for more distant facilities, and 8% directly sought care at a teaching hospital. Bypassing was also observed for 59% of children, who were more likely to seek care outside of the formal care sector, with 21% of children treated at drug shops or pharmacies. CONCLUSIONS: The results presented here strongly highlight the complexity of urban health systems. Most adult patients in Lusaka do not use public primary health facilities for non-emergency care, and heavily rely on pharmacies and drug shops for treatment of children. Major efforts will likely be needed if the government wants to instate health centers as the principal primary care access point in this setting.

Mapping health service coverage inequalities in Africa: a scoping review protocol.

INTRODUCTION: Addressing inequities in health service coverage is a global priority, especially with the resurgence of interest in universal health coverage. However, in Africa, which has the lowest health service coverage index, there is limited information on the progress of countries in addressing inequalities related to health services. Thus, we seek to map the evidence on inequalities in health service coverage in Africa. METHODS AND ANALYSIS: We will conduct a scoping review following the Joanna Briggs Institute Manual for Evidence Synthesis. We preregistered this protocol with the Open Science Framework on 26 July 2022 (https://osf.io/zd5bt). We will consider any empirical research that assesses inequalities in relation to services for reproductive, maternal, newborn and child health (eg, family planning), infectious diseases (eg, tuberculosis treatment) and non-communicable diseases (eg, cervical cancer screening) in Africa. We will search MEDLINE, Embase, Web of Science, CINAHL, PsycINFO and Cochrane Library from their inception onwards. We will also hand-search Google and Global Index Medicus, and screen reference lists of relevant studies. We will evaluate studies for eligibility and extract data from included studies using pre-piloted and standardised forms. We will further extract a core set of health service coverage indicators, which are disaggregated by place of residence, race/ethnicity/culture, occupation, gender, religion, education, socioeconomic status and social capital plus equity stratifiers. We will summarise data using a narrative approach involving thematic syntheses and descriptive statistics. We will report our findings according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. ETHICS AND DISSEMINATION: Ethical approval is not required as primary data will not be collected. This work will contribute to identifying knowledge gaps in the evidence of inequalities in health service coverage in Africa, and propose strategies that could help overcome current challenges. We will disseminate our findings to knowledge users through a publication in a peer-reviewed journal and organisation of workshops.

Health insurance coverage in low-income and middle-income countries: progress made to date and related changes in private and public health expenditure.

INTRODUCTION: Several low-income and middle-income countries (LMICs) have implemented health insurance programmes to foster accessibility to healthcare and reduce catastrophic household health expenditure. However, there is little information regarding the population coverage of health insurance schemes in LMICs and on the relationship between coverage and health expenditure. This study used open-access data to assess the level of health insurance coverage in LMICs and its relationship with health expenditure. METHODS: We searched for health insurance data for all LMICs and combined this with health expenditure data. We used descriptive statistics to explore levels of and trends in health insurance coverage over time. We then used linear regression models to investigate the relationship between health insurance coverage and sources of health expenditure and catastrophic household health expenditure. RESULTS: We found health insurance data for 100 LMICs and combined this with overall health expenditure data for 99 countries and household health expenditure data for 89 countries. Mean health insurance coverage was 31.1% (range: 0%-98.7%), with wide variations across country-income groups. Average health insurance coverage was 7.9% in low-income countries, 27.3% in lower middle-income countries and 52.5% in upper middle-income countries. We did not find any association between health insurance coverage and health expenditure overall, though coverage was positively associated with public health spending. Additionally, health insurance coverage was not associated with levels of or reductions in catastrophic household health expenditure or impoverishment due to health expenditure. CONCLUSION: These findings indicate that LMICs continue to have low levels of health insurance coverage and that health insurance may not necessarily reduce household health expenditure. However, the lack of regular estimates of health insurance coverage in LMICs does not allow us to draw solid conclusions on the relationship between health insurance coverage and health expenditure.

The state of strategic plans for the health workforce in Africa.

Many African countries have a shortage of health workers. As a response, in 2012, the Ministers of Health in the WHO African Region endorsed a Regional Road Map for Scaling Up the Health Workforce from 2012 to 2025. One of the key milestones of the roadmap was the development of national strategic plans by 2014. It is important to assess the extent to which the strategic plans that countries developed conformed with the WHO Roadmap. We examine the strategic plans for human resource for health (HRH) of sub-Saharan African countries in 2015 and assess the extent to which they take into consideration the WHO African Region's Roadmap for HRH. A questionnaire seeking data on human resources for health policies and plans was sent to 47 Member States and the responses from 43 countries that returned the questionnaires were analysed. Only 72% had a national plan of action for attaining the HRH target. This did not meet the 2015 target for the WHO, Regional Office for Africa's Roadmap. The plans that were available addressed the six areas of the roadmap. Despite all their efforts, countries will need further support to comprehensively implement the six strategic areas to maintain the health workers required for universal health coverage.