Pathways to clean cooking fuel transition in low and middle income Sub-Saharan African countries: The relevance of improving energy use efficiency

Author(s):  
Muntasir Murshed
Author(s):  
Ahmad Alkhatib ◽  
Lawrence Achilles Nyanzi ◽  
Brian Mujuni ◽  
Geofrey Amanya ◽  
Charles Ibingira

Objectives: Low and Middle Income Countries (LMICs) are experiencing a fast-paced epidemiological rise in clusters of non-communicable diseases (NCDs) such as diabetes and cardiovascular disease, forming an imminent rise in multimorbidity (MMD). However, preventing MMD has received little attention in LMICs, especially in Sub-Saharan African Countries. Design: Narrative review which scoped the most recent evidence in LMICs about MMD determinants and appropriated them for potential MMD prevention strategies. Methods: MMD in LMICs is affected by several determinants including increased age, female gender, environment, lower socio-economic status, obesity, and lifestyle behavious, especially poor nutrition and physical inactivity. Results: MMD public health interventions in LMICs, especially Sub-Saharan are currently impeded by local and regional economic disparity, underdeveloped healthcare systems, and concurrent prevalence of communicable diseases. However, lifestyle interventions that are targeted towards preventing highly prevalent MMD clusters, especially hypertension, diabetes and cardiovascular disease, can provide an early prevention of MMD, especially within Sub-Saharan African countries with emerging economies and socio-economic disparity. Conclusion: Future public health initiatives should consider targeted lifestyle interventions and appropriate policies and guidelines in preventing MMD in LMICs.


2019 ◽  
Vol 60 (5) ◽  
pp. 806-811 ◽  
Author(s):  
Razak M Gyasi ◽  
David R Phillips

Abstract Noncommunicable diseases (NCDs) are a prevalent and growing burden among older cohorts in sub-Saharan Africa and other low- and middle-income countries (LMICs) as in many wealthier parts of the world. This stems from the combined effects of factors such as demographic aging, behavioral transitions, and developmental origins of health and disease. A crucial characteristic of many NCDs is that their personal and family impacts and costs are not accurately reflected in mortality data. Their effects are often chronic and long-term and can cause morbidity, loss of work ability, and impaired quality of life over a prolonged period. Unless addressed seriously, the continuing increase of NCDs and their burden in sub-Saharan African countries and other LMICs will almost certainly undermine progress toward achieving the target of reducing by 25% premature mortality from NCDs in these countries by 2025 and also one-third reduction of NCDs target by 2030. To have any chance of meeting or even getting near to these targets, this article calls for action by national and regional governments to strengthen universal health coverage (UHC), economic empowerment of vulnerable groups, public–private partnerships, effective fiscal regulation, and public education on NCDs, their risk factors and impacts in sub-Saharan Africa in particular and most LMICs globally.


2020 ◽  
Vol 5 (2) ◽  
pp. e001850
Author(s):  
Ashley A Leech ◽  
David D Kim ◽  
Joshua T Cohen ◽  
Peter J Neumann

IntroductionSince resources are finite, investing in services that produce the highest health gain ‘return on investment’ is critical. We assessed the extent to which low and middle-income countries (LMIC) have included cost-saving interventions in their national strategic health plans.MethodsWe used the Tufts Medical Center Global Health Cost-Effectiveness Analysis Registry, an open-source database of English-language cost-per-disability-adjusted life year (DALY) studies, to identify analyses published in the last 10 years (2008–2017) of cost-saving health interventions in LMICs. To assess whether countries prioritised cost-saving interventions within their latest national health strategic plans, we identified 10 countries, all in sub-Saharan Africa, with the highest measures on the global burden of disease scale and reviewed their national health priority plans.ResultsWe identified 392 studies (63%) targeting LMICs that reported 3315 cost-per-DALY ratios, of which 207 ratios (6%) represented interventions reported to be cost saving. Over half (53%) of these targeted sub-Saharan Africa. For the 10 countries we investigated in sub-Saharan Africa, 58% (79/137) of cost-saving interventions correspond with priorities identified in country plans. Alignment ranged from 95% (21/22 prioritised cost-saving ratios) in South Africa to 17% (2/12 prioritised cost-saving ratios) in Cameroon. Human papillomavirus vaccination was a noted priority in 70% (7/10) of national health prioritisation plans, while 40% (4/10) of countries explicitly included prenatal serological screening for syphilis. HIV prevention and treatment were stated priorities in most country health plans, whereas 40% (2/5) of countries principally outlined efforts for lymphatic filariasis. From our sample of 45 unique interventions, 36% of interventions (16/45) included costs associated directly with the implementation of the intervention.ConclusionOur findings indicate substantial variation across country and disease area in incorporating economic evidence into national health priority plans in a sample of sub-Saharan African countries. To make health economic data more salient, the authors of cost-effectiveness analyses must do more to reflect implementation costs and other factors that could limit healthcare delivery.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Mamuda Aminu ◽  
Sarah Bar-Zeev ◽  
Sarah White ◽  
Matthews Mathai ◽  
Nynke van den Broek

Abstract Background Every year, an estimated 2.6 million stillbirths occur worldwide, with up to 98% occurring in low- and middle-income countries (LMIC). There is a paucity of primary data on cause of stillbirth from LMIC, and particularly from sub-Saharan Africa to inform effective interventions. This study aimed to identify the cause of stillbirths in low- and middle-income settings and compare methods of assessment. Methods This was a prospective, observational study in 12 hospitals in Kenya, Malawi, Sierra Leone and Zimbabwe. Stillbirths (28 weeks or more) were reviewed to assign the cause of death by healthcare providers, an expert panel and by using computer-based algorithms. Agreement between the three methods was compared using Kappa (κ) analysis. Cause of stillbirth and level of agreement between the methods used to assign cause of death. Results One thousand five hundred sixty-three stillbirths were studied. The stillbirth rate (per 1000 births) was 20.3 in Malawi, 34.7 in Zimbabwe, 38.8 in Kenya and 118.1 in Sierra Leone. Half (50.7%) of all stillbirths occurred during the intrapartum period. Cause of death (range) overall varied by method of assessment and included: asphyxia (18.5–37.4%), placental disorders (8.4–15.1%), maternal hypertensive disorders (5.1–13.6%), infections (4.3–9.0%), cord problems (3.3–6.5%), and ruptured uterus due to obstructed labour (2.6–6.1%). Cause of stillbirth was unknown in 17.9–26.0% of cases. Moderate agreement was observed for cause of stillbirth as assigned by the expert panel and by hospital-based healthcare providers who conducted perinatal death review (κ = 0.69; p < 0.0005). There was only minimal agreement between expert panel review or healthcare provider review and computer-based algorithms (κ = 0.34; 0.31 respectively p < 0.0005). Conclusions For the majority of stillbirths, an underlying likely cause of death could be determined despite limited diagnostic capacity. In these settings, more diagnostic information is, however, needed to establish a more specific cause of death for the majority of stillbirths. Existing computer-based algorithms used to assign cause of death require revision.


Author(s):  
Ahmad Alkhatib ◽  
Lawrence Achilles Nnyanzi ◽  
Brian Mujuni ◽  
Geofrey Amanya ◽  
Charles Ibingira

Objectives: Low and Middle-Income Countries are experiencing a fast-paced epidemiological rise in clusters of non-communicable diseases such as diabetes and cardiovascular disease, forming an imminent rise in multimorbidity. However, preventing multimorbidity has received little attention in LMICs, especially in Sub-Saharan African Countries. Methods: Narrative review which scoped the most recent evidence in LMICs about multimorbidity determinants and appropriated them for potential multimorbidity prevention strategies. Results: MMD in LMICs is affected by several determinants including increased age, female sex, environment, lower socio-economic status, obesity, and lifestyle behaviours, especially poor nutrition, and physical inactivity. Multimorbidity public health interventions in LMICs, especially in Sub-Saharan Africa are currently impeded by local and regional economic disparity, underdeveloped healthcare systems, and concurrent prevalence of communicable and non-communicable diseases. However, lifestyle interventions that are targeted towards preventing highly prevalent multimorbidity clusters, especially hypertension, diabetes, and cardiovascular disease, can provide early prevention of multimorbidity, especially within Sub-Saharan African countries with emerging economies and socio-economic disparity. Conclusion: Future public health initiatives should consider targeted lifestyle interventions and appropriate policies and guidelines in preventing multimorbidity in LMICs.


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