Extending health insurance coverage to the informal sector: Lessons from a private micro health insurance scheme in Lagos, Nigeria

Multisectoral interventions for urban health in Africa: a mixed-methods systematic review

Increasing evidence suggests that urban health objectives are best achieved through a multisectoral approach. This approach requires multiple sectors to consider health and well-being as a central aspect of their policy development and implementation, recognising that numerous determinants of health lie outside (or beyond the confines of) the health sector. However, collaboration across sectors remains scarce and multisectoral interventions to support health are lacking in Africa. To address this gap in research, we conducted a mixed-method systematic review of multisectoral interventions aimed at enhancing health, with a particular focus on non-communicable diseases in urban African settings. Africa is the world's fastest urbanising region, making it a critical context in which to examine the impact of multisectoral approaches to improve health. This systematic review provides a valuable overview of current knowledge on multisectoral urban health interventions and enables the identification of existing knowledge gaps, and consequently, avenues for future research. We searched four academic databases (PubMed, Scopus, Web of Science, Global Health) for evidence dated 1989-2019 and identified grey literature from expert input. We identified 53 articles (17 quantitative, 20 qualitative, 12 mixed methods) involving collaborations across 22 sectors and 16 African countries. The principle guiding the majority of the multisectoral interventions was community health equity (39.6%), followed by healthy cities and healthy urban governance principles (32.1%). Targeted health outcomes were diverse, spanning behaviour, environmental and active participation from communities. With only 2% of all studies focusing on health equity as an outcome and with 47% of studies published by first authors located outside Africa, this review underlines the need for future research to prioritise equity both in terms of research outcomes and processes. A synthesised framework of seven interconnected components showcases an ecosystem on multisectoral interventions for urban health that can be examined in the future research in African urban settings that can benefit the health of people and the planet.Paper ContextMain findings: Multisectoral interventions were identified in 27.8% of African countries in the African Union, targeted at major cities with five sectors present at all intervention stages: academia or research, agriculture, government, health, and non-governmental.Added knowledge: We propose a synthesised framework showcasing an ecosystem on multisectoral interventions for urban health that can guide future research in African urban settings.Global health impact for policy and action: This study reveals a crucial gap in evidence on evaluating the long-term impact of multisectoral interventions and calls for partnerships involving various sectors and robust community engagement to effectively deliver and sustain health-promoting policies and actions.

Exploring heterogeneity of national health insurance scheme enrolment among persons in the informal sector

The Ghanaian government began implementing the National Health Insurance Scheme (NHIS) in 2005, anchored on the universal health coverage principle. However, informal sector workers contribute to the low enrolment into the scheme. This paper examines the factors that influence enrolment status in Ghana's NHIS among individuals in the informal sector. The study employed the fixed-effects logit model, using the Ghana Socioeconomic Panel Survey datasets. The findings revealed that gender, age, education, marital status, household size, physical activity, income, savings and subjective social welfare determine enrolment decisions of persons in the informal sector. Drivers of NHIS enrolment for male and female household heads were secondary education and household size. Heterogeneously, age, Junior High School education, married, physical activity, subjective social welfare and savings influenced only male-headed households' enrolment status. The study shows differences in enrolment status among rural and urban residents, as age, education, marital status, household size, and physical activity influenced rural residents, while for urban inhabitants', savings determined their NHIS enrolment decisions. However, gender, obesity, income and subjective social welfare predicted enrolment decisions for rural and urban residents. Finally, two variables, gender (male) and physical activity predicted the NHIS enrolment decision among the poor, whereas subjective social welfare and savings influenced the wealthiest enrolment decisions. For Ghana to achieve the Sustainable Development Goals of universal health coverage, the study recommends enhanced public education on NHIS benefits among informal workers to promote enrolment.

How does informal employment affect health and health equity? Emerging gaps in research from a scoping review and modified e-Delphi survey

Introduction

This article reports on the results from a scoping review and a modified e-Delphi survey with experts which aimed to synthesize existing knowledge and identify research gaps on the health and health equity implications of informal employment in both low- and middle-income countries (LMICs) and high-income countries (HICs).

Methods

The scoping review included peer-reviewed articles published online between January 2015 and December 2019 in English. Additionally, a modified e-Delphi survey with experts was conducted to validate our findings from the scoping review and receive feedback on additional research and policy gaps. We drew on micro- and macro-level frameworks on employment relations and health inequities developed by the Employment Conditions Knowledge Network to synthesize and analyze existing literature.

Results

A total of 540 articles were screened, and 57 met the eligibility criteria for this scoping review study, including 36 on micro-level research, 19 on macro-level research, and 13 on policy intervention research. Most of the included studies were conducted in LMICs while the research interest in informal work and health has increased globally. Findings from existing literature on the health and health equity implications of informal employment are mixed: informal employment does not necessarily lead to poorer health outcomes than formal employment. Although all informal workers share some fundamental vulnerabilities, including harmful working conditions and limited access to health and social protections, the related health implications vary according to the sub-groups of workers (e.g., gender) and the country context (e.g., types of welfare state or labour market). In the modified e-Delphi survey, participants showed a high level of agreement on a lack of consensus on the definition of informal employment, the usefulness of the concept of informal employment, the need for more comparative policy research, qualitative health research, and research on the intersection between gender and informal employment.

Conclusions

Our results clearly identify the need for more research to further understand the various mechanisms through which informal employment affects health in different countries and for different groups of informal workers.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12939-022-01684-7.

A Comparative Cross-Sectional Study of the Prevalence and Determinants of Health Insurance Coverage in Nigeria and South Africa: A Multi-Country Analysis of Demographic Health Surveys

Background: The core Universal Health Coverage (UHC) objectives are to ensure universal access to healthcare services by reducing all forms of inequalities. However, financial constraints are major barriers to accessing healthcare, especially in countries such as Nigeria and South Africa. The findings of this study may aid in informing and communicating health policy to increase financial access to healthcare and its utilization in South Africa and Nigeria. Nigeria-South Africa bilateral relations in terms of politics, economics and trade are demonstrated in the justification of the study setting selection. The objectives were to estimate the prevalence of health insurance coverage, and to explore the socio-demographic factors associated with health insurance in South Africa and Nigeria. Methods: This was a cross-sectional study using the 2018 Nigeria Demographic Health Survey and the 2016 South Africa Demographic Health Survey. The 2018 Nigeria Demographic Health Survey data on 55,132 individuals and the 2016 South Africa Demographic Health Survey on 12,142 individuals were used to investigate the prevalence of health insurance associated with socio-demographic factors. Percentages, frequencies, Chi-square and multivariate logistic regression were e mployed, with a significance level of p < 0.05. Results: About 2.8% of the Nigerian population and 13.3% of the South African population were insured (Nigeria: males-3.4%, females-2.7% vs. South Africa: males-13.9%, females-12.8%). The multivariate logistic regression analyses showed that higher education was significantly more likely to be associated with health insurance, independent of other socio-demographic factors in Nigeria (Model I: OR: 1.43; 95% CI: 0.34-1.54, p < 0.05; Model II: OR: 1.34; 95% CI: 0.28-1.42, p < 0.05) and in South Africa (Model I: OR: 1.33; 95% CI: 0.16-1.66, p < 0.05; Model II: OR: 1.76; 95% CI: 0.34-1.82, p < 0.05). Respondents with a higher wealth index and who were employed were independently associated with health insurance uptake in Nigeria and South Africa (p < 0.001). Females were more likely to be insured (p < 0.001) than males in both countries, and education had a significant impact on the likelihood of health insurance uptake in high wealth index households among both male and females in Nigeria and South Africa. Conclusion: Health insurance coverage was low in both countries and independently associated with socio-demographic factors such as education, wealth and employment. There is a need for continuous sensitization, educational health interventions and employment opportunities for citizens of both countries to participate in the uptake of wide health insurance coverage.

Preventive healthcare uptake in private hospitals in Nigeria: a cross-sectional survey (Nisa premier hospital)

Background

Understanding the features of preventive care uptake is critical for assessing the performance and viability of primary care in any healthcare system. There are gaps in previous studies that focused on primary healthcare features, challenges and way forward in Nigeria but were mainly public sector focused and do not characterize the features of preventive care. Since private healthcare sector remains the most accessed and utilized in Nigeria, this study sought to characterize the features of uptake of preventive care to better understand the current preventive healthcare landscape.

Method

A descriptive cross-sectional study, using survey questionnaire were randomly administered to adult patients attending the Family Medicine Out-Patient Department (OPD) at Nisa Premier Hospital, Jabi Abuja. The study was conducted over a three-month period. (January to June 2017). Data collected were analyzed using SPSS version 23 (IBM SPSS, Chicago, IL, USA). Descriptive statistics in the form of frequency and percentage were used to report the results.

Results

A total of 381 participants completed the survey. The results revealed that while an over overwhelming majority (> 90%) of participants indicated knowledge of benefits of preventive care, and preferred interventions aimed at preventing a disease before they occur, 48% preferred interventions aimed at reducing disease or injury impact or interventions aimed at ameliorating the impact of ongoing disease or injury with long lasting effect (43%). Unfortunately, less than 40% of respondents would visit the hospital when their health condition is not serious. Important barriers to uptake of preventive care were revealed as cost (45%), distance to the healthcare provider (36%) and lack of health insurance (33%), whereas poor education (19%), social norms (13%) as well as cultural and religious beliefs (10%) towards accessing certain health services appeared to be lesser barriers.

Conclusion

Although people are aware of the benefits of preventive care, its uptake will greatly be enhanced through improved health insurance coverage, refocusing primary healthcare functions on preventive rather than curative care and instituting policies that mandatorily prescribe uptake for the insured, both at the individual and the insurer’s level.