Socio-economic and demographic disparities in ownership and use of insecticide-treated bed nets for preventing malaria among rural reproductive-aged women in northern Ghana

Background Malaria continues to be a leading cause of morbidity and mortality in most countries in Sub-Saharan Africa. Insecticide-treated bed nets (ITNs) is one of the cost-effective interventions for preventing malaria in endemic settings. Ghana has made tremendous efforts to ensure widespread ownership and use of ITNs. However, national coverage statistics can mask important inequities that demand targeted attention. This study assesses the disparities in ownership and utilization of ITNs among reproductive-aged women in a rural impoverished setting of Ghana. Methods Population-based cross-sectional data of 3,993 women between the age of 15 and 49 years were collected in seven districts of the Upper East region of Ghana using a two-stage cluster sampling approach. Bivariate and multivariate regression models were used to assess the social, economic and demographic disparities in ownership and utilization of ITN and to compare utilization rates among women in households owning at least one ITN. Results As high as 79% of respondents were found to own ITN while 62% of ITN owners used them the night preceding the survey. We identified disparities in both ownership and utilization of ITNs in wealth index, occupational status, religion, and district of residence. Respondents in the relative richest wealth quintile were 74% more likely to own ITNs compared to those in the poorest quintile (p-value< 0.001, CI = 1.29–2.34) however, they were 33% less likely to use ITNs compared to the poorest (p-value = 0.01, CI = 0.50–0.91). Conclusion Interventions aimed at preventing and controlling malaria through the use of bed nets in rural Ghana and other similar settings should give more attention to disadvantage populations such as the poor and unemployed. Tailored massages and educational campaigns are required to ensure consistent use of treated bed nets

Cost of implementing a community-based primary health care strengthening program: The case of the Ghana Essential Health Interventions Program in northern Ghana

Background The absence of implementation cost data constrains deliberations on consigning resources to community-based health programs. This paper analyses the cost of implementing strategies for accelerating the expansion of a community-based primary health care program in northern Ghana. Known as the Ghana Essential Health Intervention Program (GEHIP), the project was an embedded implementation science program implemented to provide practical guidance for accelerating the expansion of community-based primary health care and introducing improvements in the range of services community workers can provide. Methods Cost data were systematically collected from intervention and non-intervention districts throughout the implementation period (2012–2014) from a provider perspective. The step-down allocation approach to costing was used while WHO health system blocks were adopted as cost centers. We computed cost without annualizing capital cost to represent financial cost and cost with annualizing capital cost to represent economic cost. Results The per capita financial cost and economic cost of implementing GEHIP over a three-year period was $1.79, and$1.07 respectively. GEHIP comprised only 3.1% of total primary health care cost. Health service delivery comprised the largest component of cost (37.6%), human resources was 28.6%, medicines was 13.6%, leadership/governance was 12.8%, while health information comprised 7.5% of the economic cost of implementing GEHIP. Conclusion The per capita cost of implementing the GEHIP program was low. GEHIP project investments had a catalytic effect that improved community-based health planning and services (CHPS) coverage and enhanced the efficient use of routine health system resources rather than expanding overall primary health care costs

Assessing the impoverishment effects of out-of-pocket healthcare payments prior to the uptake of the national health insurance scheme in Ghana

Background: There is a global concern regarding how households could be protected from relatively large healthcare payments which are a major limitation to accessing healthcare. Such payments also endanger the welfare of households with the potential of moving households into extreme impoverishment. This paper examines the impoverishing effects of out-of-pocket (OOP) healthcare payments in Ghana prior to the introduction of Ghana’s national health insurance scheme. Methods: Data come from the Ghana Living Standard Survey 5 (2005/2006). Two poverty lines ($1.25 and$2.50 per capita per day at the 2005 purchasing power parity) are used in assessing the impoverishing effects of OOP healthcare payments. We computed the poverty headcount, poverty gap, normalized poverty gap and normalized mean poverty gap indices using both poverty lines. We examine these indicators at a national level and disaggregated by urban/rural locations, across the three geographical zones, and across the ten administrative regions in Ghana. Also the Pen’s parade of “dwarfs and a few giants” is used to illustrate the decreasing welfare effects of OOP healthcare payments in Ghana. Results: There was a high incidence and intensity of impoverishment due to OOP healthcare payments in Ghana. These payments contributed to a relative increase in poverty headcount by 9.4 and 3.8% using the $1.25/day and$2.5/day poverty lines, respectively. The relative poverty gap index was estimated at 42.7 and 10.5% respectively for the lower and upper poverty lines. Relative normalized mean poverty gap was estimated at 30.5 and 6.4%, respectively, for the lower and upper poverty lines. The percentage increase in poverty associated with OOP healthcare payments in Ghana is highest among households in the middle zone with an absolute increase estimated at 2.3% compared to the coastal and northern zones. Conclusion: It is clear from the findings that without financial risk protection, households can be pushed into poverty due to OOP healthcare payments. Even relatively richer households are impoverished by OOP healthcare payments. This paper presents baseline indicators for evaluating the impact of Ghana’s national health insurance scheme on impoverishment due to OOP healthcare payments

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Impact of a community-based primary healthcare programme on childhood diphtheria-tetanus-pertussis (DPT3) immunisation coverage in rural northern Ghana

Abstract Background Child healthcare services such as diphtheria-tetanus-pertussis (DPT3) vaccination are known to reduce childhood mortality and morbidity. However, inequalities in access to these services in developing countries continue to constrain global efforts aimed at improving child health. This study examines the impact and equity effect of a community-based primary healthcare programme known as the Ghana Essential Health Intervention Programme (GEHIP) on improving the uptake of childhood DPT3 immunisation coverage in a remote rural region of Ghana. Methods Using baseline and end-line household survey data collected from mothers, the effect of GEHIP’s community-based healthcare programme on DPT3 immunisation coverage is evaluated using difference-in-differences multivariate logistic regression models. Household wealth index and maternal educational attainment were used as equity measures. Results At end-line, both intervention and comparison districts recorded increases in DPT3 immunisation coverage although intervention districts had a relatively higher coverage than comparison districts (90% versus 88%). While children resident in intervention areas had slightly higher rates than children resident in comparison areas, regression results show that this difference was not statistically significant (DiD = 0.038, p-value = 0.102). There were also no significant equity disparities in the coverage of DPT3 vaccination for both household wealth index and maternal educational attainment. Conclusion DPT3 vaccination coverage in both study arms met the global vaccine action plan targets. However, because estimated effects are not significantly higher among treatment area children than among comparison districts counterparts, no equity/inequity effects of the community-based healthcare programme on DPT 3 coverage is evident

Does expanding community-based primary health care coverage also address unmet need for family planning and improve program impact? Findings from a plausibility trial in northern Ghana

Background The core strategy for achieving universal health coverage (UHC) in Ghana concerns the goal of expanding access to primary health services to all rural households through an initiative known as Community-based Health Planning and Services (CHPS). To test means of accelerating CHPS implementation, a 5-year primary health system strengthening trial was launched in 2010 that was known as the Ghana Essential Health Interventions Program (GEHIP). Fielded in 4 rural northern districts with 7 comparison districts, GEHIP achieved total CHPS coverage in 4 years, thereby expanding access to community nursing care for the treatment of childhood illness, the provision of immunizations, and promotion and delivery of family planning services. Methods The impact of UHC achievement on contraceptive use and unmet need is assessed with a 2 stage random sample of reproductive-aged women residing in treatment and comparison districts at the GEHIP baseline and end line. A difference-in-differences (DIDs) regression model is employed to estimate the average GEHIP treatment effect on the use of modern contraceptives and unmet need for contraception. Results After controlling for maternal age, children ever born, education, religion, ethnicity, and occupation, regression results show that the GEHIP program had a significant DID effect on modern contraceptive use (odds ratio [OR],1.795; 95% confidence interval, 1.320–2.439) but no effect on unmet need for contraception. Conclusion Expanding access to community-based primary health care improved contraceptive use, but was insufficient for reducing unmet need. Possible implications for supplementing community-based primary health care with family planning focused social mobilization are reviewed

An assessment of a performance-based management agreement initiative in Ghana’s health service

Abstract Background As part of its efforts to improve efficiency, accountability and overall performance, the Ghana Health Service (GHS) introduced annual Performance-based Management Agreements (PMAs) in the year 2013. However, no assessment of this initiative has since been made in order to inform policy and practice. This paper provides an assessment of this policy initiative from the perspective of managers at various levels of service implementation. Methods Mixed methods were employed. Questionnaires were administered to managers through an online survey (using Google forms). Descriptive and inferential statistical methods were used to analyze and present quantitative results while qualitative data was analyzed via thematic analysis. Results The content and objectives of the PMAs were observed to be comprehensive and directed at ensuring high performance of directorates. Targets of PMAs were found to be aligned with overall health sector objectives and priorities. The directors felt PMAs were useful for delegating task to subordinates. PMAs were also found to increase commitment and contributed to improving teamwork and prudent use of resources. However, PMAs were found to lack clear implementation strategies and were not backed by incentives and sanctions. Also, budgetary allocations did not reflect demands of PMAs. Furthermore, directors at lower levels were not adequately consulted in setting PMAs targets as such district specific challenges and priorities are not usually factored into the process. Insufficient training of staff and lack of requisite staff were key challenges confronting the implementation of PMAs in most directorates. Weak monitoring and evaluation was also observed to significantly affect the success of PMAs. Conclusion There is the need to address the weaknesses and improve on the existing strengths identified by this assessment in order to enhance the effectiveness of PMAs utilization in the Ghana health service

Socio-demographic determinants of low birth weight: Evidence from the Kassena-Nankana districts of the Upper East Region of Ghana.

OBJECTIVE:To examine the social, economic and demographic factors that determine low birth weight in the two Kassena Nankana districts of the Upper East region of Ghana. METHODS:Cross-sectional data was collected from January 2009 to December 2011 using the Navrongo Health and Demographic Surveillance System which monitors routine health and demographic outcomes in the study area. Data on foetal characteristics such as birth weight, and sex and maternal age, parity, maternal education, marital status, ethnicity, religious affiliation and socio-economic characteristics were collected and described. Tests of means, proportions and Chi-squares are employed in bivariate analysis, and adjusted logistic regression models fitted to control for potential confounding variables. All tests were two-sided and test of significance was set at p-value of < 0.05. RESULTS:There were 8,263 live births (44.9% females) with an overall average birth weight of 2.85 kg (2.9 kg for males and 2.8 kg for females). The average maternal age was 28 years, median parity 2, maternal literacy rate was about 70% and 83% of mothers were married. The prevalence of low birth weight was 13.8% 95%CI [13.10, 14.6] and more in female babies than in males (15.5% vs 12.2%; p<0.0001). Determinants of low birth-weight after controlling for confounding factors were sex of neonate (OR = 1.32, 95%CI [1.14,1.52]; p<0.0001), maternal age (p = 0.004), and mothers who are not married (OR = 1.44 [1.19, 1.74]; p<0.0001). CONCLUSION:Female neonates in this population were likely to present with low birth weight and maternal factors such as younger age, lower socio-economic status and single parenthood were major determinants of low birth weight. Effective and adequate antenatal care should therefore target women with these risk factors

Unawareness of health insurance expiration status among women of reproductive age in Northern Ghana: implications for achieving universal health coverage

Background Ghana implemented a national health insurance scheme in 2005 to promote the provision of accessible, affordable, and equitable healthcare by eliminating service user fees. Termed the National Health Insurance Scheme (NHIS), its active enrollment has remained low despite a decade of program implementation. This study assesses factors explaining this problem by examining the correlates of insurance status unawareness among women of reproductive age. Methods In 2015, a random probability cross-sectional survey of 5914 reproductive-aged women was compiled in the Upper East Region, an impoverished and remote region in Northern Ghana. During the survey, two questions related to the NHIS were asked: "Have you ever registered with the NHIS?" and "Do you currently have a valid NHIS card?" If the answer to the second question was yes, the respondents were requested to show their insurance card, thereby enabling interviewers to determine if the NHIS requirement of annual renewal had been met. Results are based on the tabulation of the prevalence of unawareness status, tests of bivariate associations, and multivariate estimation of regression adjusted effects. Results Of the 5914 respondents, 3614 (61.1%) who reported that they were actively enrolled in the NHIS could produce their insurance cards upon request. Of these respondents, 1243 (34.4%) had expired cards. Factors that significantly predicted unawareness of card expiration were occupation, district of residence, and socio-economic status. Relative to other occupational categories, farmers were the most likely to be unaware of their card invalidity. Respondents residing in three of the study districts were less aware of their insurance card validity than the other four study districts. Unawareness was observed to increase monotonically with relative poverty. Conclusion Unawareness of insurance care validity status contributes to low active enrollment in Ghana's NHIS. Educational messages aimed at improving health insurance coverage should include the promotion of annual renewal and also should focus on the information needs of farmers and low socio-economic groups