Prevalence and factors associated with health insurance coverage in urban sub-Saharan Africa: Multilevel analyses of demographic and health survey data

Modifiable risk factors for anemia among women of childbearing age in sub-saharan Africa (2015-2023)

BACKGROUND

The Sustainable Development Goals Target 2.2 aims to eliminate all forms of malnutrition, including anemia, while the World Health Assembly targets a 50% reduction in anemia among women of childbearing age by 2025. Despite these efforts, global anemia prevalence among women has only slightly decreased from 31% to 30% between 2000 and 2019. Therefore, identifying modifiable risk factors for anemia among women of childbearing age in Africa is crucial for developing evidence-based interventions and achieving these goals.

METHODS

We conducted an analysis of the most recent Demographic and Health Surveys datasets from 21 Sub-Saharan Africa (SSA) countries, which were carried out between 2015 and 2023. Using multilevel multinomial regression models, we calculated the Adjusted Odds Ratio (AOR) with a 95% Confidence Interval, and subsequently estimated the Population Attributable Fraction (PAF) based on these AOR values.

RESULTS

The study consisted of 168,417 women of childbearing age [-] (15-49) from 21 SSA. The highest proportion of moderate to severe anemia was linked to the type of contraceptive method used (PAF = 53.11%). This was followed by the lack of health insurance coverage (PAF = 37.92%). Other significant factors included poverty (PAF = 11.50%), no formal education (PAF = 18.01%), high parity (PAF = 5.78%), and the use of unimproved drinking water sources (PAF = 3.88%). These 5 modifiable risk factors were associated with 80.60% (95%CI, 77.60-83.40%) moderate/severe anemia in SSA.

CONCLUSION

In a cross-sectional study involving 21 SSA nations, we identified 5 modifiable risk factors associated with anemia among women of childbearing age in SSA. These factors should be a priority for policymakers when planning future interventions to address anemia in SSA's women's health.

Correlates of retinopathy in persons living with type 2 diabetes at a clinic in Zambia

Introduction

diabetes mellitus presents a significant public health challenge globally, with its prevalence projected to rise, particularly in developing countries. Diabetic retinopathy is a common complication of diabetes and a leading cause of blindness among adults. Despite its significance, research on diabetic retinopathy in sub-Saharan Africa, including Zambia, remains limited. This study aimed to determine the prevalence of diabetic retinopathy and identify associated factors among individuals with type 2 diabetes mellitus (T2DM) attending Mahatma Gandhi Clinic in the Livingstone District of the Southern Province of Zambia.

Methods

this was a cross-sectional study, involving 48 participants aged 18 years and above, living with T2DM, and enrolled at Mahatma Gandhi Clinic in Livingstone District of Southern Province, Zambia. The primary outcome was diabetic retinopathy, which was classified using the international classification of diabetic retinopathy. Both univariate and bivariate analysis were used to estimate the prevalence of diabetic retinopathy, whereas, logistic regression was used to determine the bio-demographic, social, and clinical variables associated with diabetic retinopathy.

Results

the majority were females (n=37, 77.1%). The median age was 54 years (interquartile range (IQR) 48, 65). The mean Body Mass Index (BMI) was 27.4 (standard deviation (SD), ±6.0). The median duration of living with T2DM was 60 months (IQR, 36,132), with a mean pulse pressure of 9.6 ± 2.8 mmHg and mean glycosylated hemoglobin (HBA1C) of 9.58 ± 2.77%. Fifty percent of the participants had visual problems and hypertension (n=24 each, 50%,). Most participants reported not exercising for at least 30 minutes (n=37, 77.1 %,) and had uncontrolled sugar levels (n=32, 66.7%). Of the 48 participants, 12 (25%) had diabetic retinopathy. Longer duration of T2DM was the only factor significantly associated with diabetic retinopathy on multivariable analysis (AOR: 1.01; 95%Cl 1.00, 1.03, p<0.038).

Conclusion

this study highlights a high prevalence (25%) of diabetic retinopathy among people living with type 2 diabetes mellitus (T2DM) being managed at Mahatma Gandhi Clinic in the Livingstone District of the Southern Province of Zambia. Longer duration of living with T2DM was positively associated with diabetic retinopathy. There is a need to provide routine eye examinations in this population and increase knowledge among clients living with T2DM to reduce the burden of diabetic retinopathy in our setting.

Spatial distribution and factors associated with health insurance subscription among women in Ghana

BACKGROUND

This study examined the spatial distribution and factors associated with health insurance subscription among women in Ghana.

METHODS

We analysed a representative sample of 9380 women aged 15-49 y from the 2014 Ghana Demographic and Health Survey. Descriptive and multilevel regression analyses were performed. The study also employed spatial analysis techniques, including spatial autocorrelation, hotspot analysis, cluster and outlier analysis, as well as geographically weighted regression to explore the geographic distribution and predictors of non-subscription to health insurance.

RESULTS

The analysis revealed a moderately high prevalence of health insurance subscription among women in Ghana (62.4%). The spatial analyses indicated substantial variations in health insurance subscription across different regions in Ghana. The coastal and middle zones reported higher rates of non-subscription compared with the northern zone. We observed that young women (aged 20-24 y) had a lower likelihood of subscribing compared with adolescent girls (aged 15-19 y). Also, higher educational attainment, listening to the radio, being in a marital union and higher wealth status were positively associated with health insurance subscription.

CONCLUSIONS

The study calls for targeted interventions and policies to promote equitable access to healthcare services, focusing on improving health infrastructure in coastal and middle zones, educational campaigns for individuals with lower education levels, leveraging media platforms for health insurance awareness and implementing equitable and affordable processes for individuals in poorer households.

Prevalence, perceptions and associated factors of health insurance enrollment among older persons in selected cash grant communities in Ghana: a cross-sectional mixed method

BACKGROUND

Universal Health Coverage has been openly recognized in the United Nations health-related Sustainable Development Goals by 2030, though missing under the Millennium Development Goals. Ghana implemented the National Health Insurance Scheme programme in 2004 to improve financial access to healthcare for its citizens. This programme targeting low-income individuals and households includes an Exempt policy for older persons and indigents. Despite population ageing, evidence of the participation and perceptions of older persons in the scheme in cash grant communities is unknown. Hence, this paper examined the prevalence, perceptions and factors associated with health insurance enrollment among older persons in cash grant communities in Ghana.

METHODS

Data were from a cross-sectional household survey of 400 older persons(60 + years) and eight FGDs between 2017 and 2018. For the survey, stratified and simple random sampling techniques were utilised in selecting participants. Purposive and stratified sampling techniques were employed in selecting the focus group discussion participants. Data analyses included descriptive, modified Poisson regression approach tested at a p-value of 0.05 and thematic analysis. Stata and Atlas-ti software were used in data management and analyses.

RESULTS

The mean age was 73.7 years. 59.3% were females, 56.5% resided in rural communities, while 34.5% had no formal education. Two-thirds were into agriculture. Three-fourth had non-communicable diseases. Health insurance coverage was 60%, and mainly achieved as Exempt by age. Being a female [Adjusted Prevalence Ratio (APR) 1.29, 95%CI:1.00-1.67], having self-rated health status as bad [APR = 1.34, 95%CI:1.09-1.64] and hospital healthcare utilisation [APR = 1.49, 95%CI:1.28-1.75] were positively significantly associated with health insurance enrollment respectively. Occupation in Agriculture reduced insurance enrollment by 20.0%. Cited reasons for poor perceptions of the scheme included technological challenges and unsatisfactory services.

CONCLUSION

Health insurance enrollment among older persons in cash grant communities is still not universal. Addressing identified challenges and integrating the views of older persons into the programme have positive implications for securing universal health coverage by 2030.

Understanding the role of the Tanzania national health insurance fund in improving service coverage and quality of care

Health insurance is one of the main financing mechanisms currently being used in low and middle-income countries to improve access to quality services. Tanzania has been running its National Health Insurance Fund (NHIF) since 2001 and has recently undergone significant reforms. However, there is limited attention to the causal mechanisms through which NHIF improves service coverage and quality of care. This paper aims to use a system dynamics (qualitative) approach to understand NHIF causal pathways and feedback loops for improving service coverage and quality of care at the primary healthcare level in Tanzania. We used qualitative interviews with 32 stakeholders from national, regional, district, and health facility levels conducted between May to July 2021. Based on the main findings and themes generated from the interviews, causal mechanisms, and feedback loops were created. The majority of feedback loops in the CLDs were reinforcing cycles for improving service coverage among beneficiaries and the quality of care by providers, with different external factors affecting these two actions. Our main feedback loop shows that the NHIF plays a crucial role in providing additional financial resources to facilities to purchase essential medical commodities to deliver care. However, this cycle is often interrupted by reimbursement delays. Additionally, beneficiaries' perception that lower-level facilities have poorer quality of care has reinforced care seeking at higher-levels. This has decreased lower level facilities' ability to benefit from the insurance and improve their capacity to deliver quality care. Another key finding was that the NHIF funding has resulted in better services for insured populations compared to the uninsured. To increase quality of care, the NHIF may benefit from improving its reimbursement administrative processes, increasing the capacity of lower levels of care to benefit from the insurance and appropriately incentivizing providers for continuity of care.

Review of Genetic and Artificial Intelligence approaches to improving Gestational Diabetes Mellitus Screening and Diagnosis in sub-Saharan Africa

Background: Adverse outcomes from gestational diabetes mellitus (GDM) in the mother and newborn are well established. Genetic variants may predict GDM and Artificial Intelligence (AI) can potentially assist with improved screening and early identification in lower resource settings. There is limited information on genetic variants associated with GDM in sub-Saharan Africa and the implementation of AI in GDM screening in sub-Saharan Africa is largely unknown. Methods: We reviewed the literature on what is known about genetic predictors of GDM in sub-Saharan African women. We searched PubMed and Google Scholar for single nucleotide polymorphisms (SNPs) involved in GDM predisposition in a sub-Saharan African population. We report on barriers that limit the implementation of AI that could assist with GDM screening and offer possible solutions. Results: In a Black South African cohort, the minor allele of the SNP rs4581569 existing in the PDX1 gene was significantly associated with GDM. We were not able to find any published literature on the implementation of AI to identify women at risk of GDM before second trimester of pregnancy in sub-Saharan Africa. Barriers to successful integration of AI into healthcare systems are broad but solutions exist. Conclusions: More research is needed to identify SNPs associated with GDM in sub-Saharan Africa. The implementation of AI and its applications in the field of healthcare in the sub-Saharan African region is a significant opportunity to positively impact early identification of GDM.

Economic and social determinants of health care utilization during the first wave of COVID-19 pandemic among adults in Ghana: a population-based cross-sectional study

BACKGROUND

The COVID-19 pandemic had socioeconomic effects in Africa. This study assessed the social and economic determinants of healthcare utilization during the first wave of COVID-19 among adults in Ghana.

METHODS

Information about individuals residing in Ghana was derived from a survey conducted across multiple countries, aiming to evaluate the impact of the COVID-19 pandemic on the mental health and overall well-being of adults aged 18 and above. The dependent variable for the study was healthcare utilization (categorized as low or high). The independent variables were economic (such as financial loss, job loss, diminished wages, investment/retirement setbacks, and non-refunded travel cancellations) and social (including food scarcity, loss of financial support sources, housing instability, challenges affording food, clothing, shelter, electricity, utilities, and increased caregiving responsibilities for partners) determinants of health. A multinomial logistic regression was conducted to identify factors associated with healthcare utilization after adjusting for confounders (age, gender, access to medical insurance, COVID-19 status, educational background, employment, and marital status of the participants).

RESULTS

The analysis included 364 responses. Individuals who encountered a loss of financial support (AOR: 9.58; 95% CI: 3.44-26.73; p < 0.001), a decrease or loss of wages (AOR: 7.44, 95% CI: 3.05-18.16, p < 0.001), experienced investment or retirement setbacks (AOR: 10.69, 95% CI: 2.60-43.88, p = 0.001), and expressed concerns about potential food shortages (AOR: 6.85, 95% CI: 2.49-18.84, p < 0.001) exhibited significantly higher odds of low healthcare utilization during the initial phase of the pandemic. Contrastingly, participants facing challenges in paying for basic needs demonstrated lower odds of low healthcare utilization compared to those who found it easy to cover basic expenses (AOR: 0.19, 95% CI: 0.06-0.67, p = 0.001).

CONCLUSION

Economic and social factors were associated with low healthcare utilization in Ghana during the first wave of the pandemic. Investment or retirement loss and financial support loss during the pandemic had the largest effect on healthcare utilization. Further research is needed to understand the connection between concerns about food shortages, welfare losses during pandemics and healthcare utilization during pandemics in Ghana.

Determinants of health insurance coverage among women in Mauritania: a multilevel analysis

BACKGROUND

Health insurance has been documented as one of the primary methods of financing healthcare for Sustainable Development Goals (SDGs) by 2030. Yet, there is a dearth of evidence on the determinants of health insurance coverage among women in Mauritania. We examine the factors associated with health insurance coverage among women in Mauritania using a nationally representative survey dataset.

METHODS

We analyzed secondary data from the 2019-2021 Mauritania Demographic and Health Survey. A weighted sample of 15,714 women of reproductive age (15-49 years) was included in the study. Multilevel regression analysis was used to examined the factors associated with health insurance coverage. The results were presented using an adjusted odds ratio (aOR) with a 95% confidence interval (CI).

RESULTS

The coverage of health insurance among women was 8.7%. The majority of the women subscribed to social security health insurance (7.6%). Women aged 35 years and above [aOR = 1.54; 95% CI = 1.24, 1.92] were more likely to be covered by health insurance relative to those aged 15-24. The likelihood of being covered by health insurance increased with increasing level of education with the highest odds among women with higher education [aOR = 6.09; 95% CI = 3.93, 9.42]. Women in the richest wealth index households [aOR = 22.12; 95% CI = 9.52, 51.41] and those with grand parity [aOR = 2.16; 95% CI = 1.62, 2.87] had the highest odds of being covered by health insurance. Women who were working, those who watched television, and those who used the internet were more likely to be covered by health insurance relative to their counterparts who were not working, those who did not watch television, and those who did not use the internet. Women residing in Tiris zemour et Inchiri [aOR = 3.60; 95%CI = 1.60, 8.10], Tagant (aOR = 3.74; 95% CI = 1.61, 8.68], and Adrar [aOR = 2.76; 95% CI = 1.36, 5.61] regions were more likely to be covered by health insurance compared with those from Hodh Echargui.

CONCLUSION

Health insurance coverage among the women in our study was low. Achieving the SDG targets of ensuring universal health coverage and lowering maternal mortality to less than 70 deaths per 100,000 live births requires the implementation of interventions to increase health insurance coverage, taking into consideration the identified factors in the study. We recommend effective public education and awareness creation on the importance of being covered by health insurance by leveraging television and internet platforms. Also, interventions to increase health insurance coverage should consider younger women and those in rural areas.

Uptake of health insurance in Malawi in 2019-2020: evidence from the multiple indicator cluster survey

Introduction

although countries in sub-Sahara Africa (SSA) show progress in implementing various forms of health insurance, there is a dearth of information regarding health insurance in settings like Malawi. Therefore, we conducted this study to determine the uptake of health insurance and describe some of the factors associated with the prevailing uptake of health insurance in Malawi using the 2019-2020 Multiple Indicator Cluster Survey (MICS).

Methods

this was a secondary analysis of the 2019-2020 MICS data. Data were analysed using frequencies and weighted percentages in Stata v.17. Furthermore, since the number of persons with health insurance is very small, we were unable to perform multivariate analysis.

Results

a total of 205 (1%) of the 31259 had health insurance in Malawi in 2019-2020. Of the 205 individuals who owned health insurance, 118 (47%) had health insurance through their employers while 39 (16%) had health insurance through mutual health organizations or community-based. Men had a higher uptake of health insurance than women. The residents from urban areas were more likely to have health insurance than those in rural areas. Persons with media exposure were more likely to own health insurance as compared to their counterparts. There was an increasing trend in the uptake of health insurance by wealth of the individual with the poorest being less likely to have health insurance compared to the richest. The persons with no education were least likely to have health insurance while those with tertiary education were most likely to have health insurance.

Conclusion

the uptake of health insurance in Malawi was extremely low. In order to increase the uptake of health insurance, there is a need to increase insurance coverage amongst those in formal employment, and consider minimizing the geographic, economic, and demographic barriers in accessing the health insurance.

Estimating geographic access to healthcare facilities in Sub-Saharan Africa by Degree of Urbanisation

Measuring rates of coverage and spatial access to healthcare services is essential to inform policies for development. These rates tend to reflect the urban-rural divide, typically with urban areas experiencing higher accessibility than rural ones. Especially in Sub-Saharan Africa (SSA), a region experiencing high disease burden amid fast urbanisation and population growth. However, such assessment has been hindered by a lack of updated and comparable geospatial data on urbanisation and health facilities. In this study, we apply the UN-endorsed Degree of Urbanisation (DoU or DEGURBA) method to investigate how geographic access to healthcare facilities varies across the urban-rural continuum in SSA as a whole and in each country, for circa 2020. Results show that geographic access is overall highest in cities and peri-urban areas, where more than 95% of inhabitants live within 30 min from the nearest HCF, with this share decreasing to 80-90% in towns. This share is lowest in villages and dispersed rural areas (65%), with about 10-15% of population more than 3 h away from any health post. Challenges in geographic access seem mostly determined by high travel impedance, since overall spatial densities of HCF are comparable to European levels.

Exploring health insurance and knowledge of the ovulatory cycle: evidence from Demographic and Health Surveys of 29 countries in Sub-Saharan Africa

BACKGROUND

Unplanned pregnancy continues to be a major public health concern in Sub-Saharan Africa (SSA). Understanding the ovulatory cycle can help women avoid unplanned pregnancy. Though a wide range of factors for ovulatory cycle knowledge in SSA countries has not been well assessed, the influence of health insurance on ovulatory cycle knowledge is largely unknown. As a result, we set out to investigate the relationship between health insurance enrollment and knowledge of the ovulatory cycle among women of childbearing age. This study aims to investigate the relationship between health insurance enrollment and knowledge of the ovulatory cycle among women of childbearing age in sub-Saharan Africa (SSA).

METHODS

Demographic and Health Surveys (DHSs) data from 29 SSA countries were analyzed. The association between health insurance and ovulatory cycle knowledge was investigated using bivariate and multivariate multilevel logistic regression models among 372,692 women of reproductive age (15-49). The findings were presented as adjusted odds ratios (AOR) with 95% confidence intervals (CI). A p-value of 0.05 was considered statistically significant.

RESULTS

The pooled result shows that the prevalence of knowledge of ovulatory cycle in the studied 29 SSA countries was 25.5% (95% CI; 24.4%-26.6%). Findings suggest higher odds of ovulatory cycle knowledge among women covered by health insurance (AOR = 1.27, 95% CI; 1.02-1.57), with higher education (higher-AOR = 2.83, 95% CI; 1.95-4.09), from the richest wealth quintile (richest-AOR = 1.39, 95% CI; 1.04-1.87), and from female headed households (AOR = 1.16, 95% CI; 1.01-1.33) compared to women who had no formal education, were from the poorest wealth quintile and belonged to male headed households, respectively. We found lower odds of ovulatory cycle knowledge among women who had 2-4 parity history (AOR = 0.80, 95% CI; 0.65-0.99) compared to those with history of one parity.

CONCLUSIONS

The findings indicate that the knowledge of the ovulatory cycle is lacking in SSA. Improving health insurance enrollment should be considered to increase ovulatory cycle knowledge as an approach to reduce the region's unplanned pregnancy rate. Strategies for improving opportunities that contribute to women's empowerment and autonomy as well as sexual and reproductive health approaches targeting women who are in poorest quintiles, not formally educated, belonging to male headed households, and having high parity should be considered.

The use of traditional medicine practitioner services for childhood illnesses among childbearing women: a multilevel analysis of demographic and health surveys in 32 sub-Saharan African countries

BACKGROUND

Insights into the use of traditional medicine practitioners (TMP)-for common childhood diseases such as diarrhea and respiratory infections are important to understand the role of Traditional Medicine (TM) in reducing the increasing childhood morbidity and mortality in sub-Saharan Africa (SSA). However, a comprehensive picture of TMP utilisation and its associated factors for childhood illness in SSA is lacking. This study aimed to estimate the prevalence of the use of traditional medicine practitioner services to treat childhood illnesses among women with children under five years old and to identify individual and community-level factors associated with TMP use in SSA.

METHODS

The analysis used Demographic and Health Surveys (DHS) dataset collected between 2010 and 2021 among 353,463 under-fives children from 32 SSA countries. Our outcome variable was the use of TMP for childhood illness, defined as having diarrhoea or fever/cough or both. Using STATA v14, we employed the random effect meta-analysis to estimate the pooled prevalence of TMP use for childhood illness and a two-level multivariable multilevel modelling to determine the individual and community-level factors associated with consultation of a TMP.

RESULTS

Approximately [2.80% (95%CI: 1.88-3.90)] women who sought healthcare for childhood illnesses utilised the service of a TMP with the highest occurring in Cote d'Ivoire [16.3% (95%CI: 13.87-19.06)] and Guinea (13.80% (95%CI: 10.74-17.57)] but the lowest in Sierra Leone [0.10%(95%CI:0.01-1.61)]. Specifically, approximately [1.95% (95%CI: 1.33-2.68)] and [1.09% (95%CI:0.67-1.60)] of women sought the service of a TMP for childhood diarrhea and fever/cough, respectively. Women with no formal education [AOR = 1.62;95%CI:1.23-2.12], no media access [AOR = 1.19;95%CI:1.02-1.39), who lived in a male-headed household [AOR = 1.64;95%CI:1.27-2.11], without health insurance [AOR = 2.37;95%CI: 1.53-3.66], who considered it a problem getting permission to visit a health facility [AOR = 1.23;95%CI:1.03-1.47] and who perceived the size of their children at birth to be above average[AOR = 1.20;95%CI:1.03-1.41] had higher odds of using TMP for childhood illnesses.

CONCLUSIONS

Although the prevalence of TMP for childhood illnesses appeared low, our findings highlight that TMPs continue to play a critical role in managing childhood illnesses in SSA. It is essential that policymakers and service providers should incorporate the potential role of TMPs in the design, review and implementation of child health policies in SSA. Also, the interventions for curtailing childhood illnesses should be focused on the characteristics of women who use TMPs for childhood diseases identified in our study.

Pooled coverage of community based health insurance scheme enrolment in Ethiopia, systematic review and meta-analysis, 2016-2020

BACKGROUND

Community Based Health Insurance (CBHI) is a type of health insurance program that provides financial protection against the cost of illness and improving access to health care services for communities engaged in the informal sector. In Ethiopia, the coverage of CBHI enrolment varies across regions and decision of household enrolment is affected by different factors. There are pocket studies on CBHI scheme with different coverage in Ethiopia and there is no pooled study on CBHI enrolment coverage in Ethiopia for better understanding the scheme and decision making. The aim of this systematic review and meta-analysis was to identify the pooled coverage of CBHI enrolment in Ethiopia to understand its policy implications.

METHODS

The systematic review and meta-analysis was done by adhering the PRISMA guideline with exhaustive search in PubMed/Medline, HINARI, SCOPUS and Google scholar complemented by manual search. Two authors independently selected studies, extracted data, and assessed quality of studies. The I2 test statistic was used to test heterogeneity among studies. The overall coverage of CBHI scheme was estimated by using random-effects model.

RESULT

Among 269 identified, 17 studies were included in this meta-analysis and the overall coverage of CBHI scheme was 45% (95% CI 35%, 55%) in Ethiopia. The sub-group analysis shows higher enrolment rate 55.97 (95%CI: 41.68, 69.77) in earlier (2016-2017) studies than recent 37.33 (95%CI: 24.82, 50.77) studies (2018-2020).

CONCLUSION

The pooled coverage of CBHI enrolment is low in Ethiopia compared the national target of 80% set for 2020. It is also concentrated in only major regions of the country. The finding of the study helps national decision making for CBHI scheme service improvement. Due attention to be given to improving geographic expansion of CBHI and to the declining coverages with in the CBHI implementing regions by addressing the main bottlenecks restraining coverages.

TRIAL REGISTRATION

The protocol of this systematic review and meta-analysis was published in PROSPERO with registration number: CRD42021252762 .