RESULTS: An overall of 1839 diabetes patients participated in the study. The results have shown that direct and indirect costs are positively associated with the participants' socio-demographic characteristics, except for household income and educational status. The annual total cost of diabetes care was USD 740.1, amongst which the share of the direct cost was USD 646.7, and the indirect cost was USD 93.65. Most direct costs comprised medicine (USD 274.5) and hospitalization (USD 319.7). In contrast, the productivity loss of the patients had the highest contribution to the indirect cost (USD 81.36).
CONCLUSION: This study showed that direct costs significantly contributed to diabetes's overall cost in Pakistan and overall diabetes management estimated to be 1.67% (USD 24.42 billion) of the country's total gross domestic product. The expense of medications and hospitalization mostly drove the direct cost. Additionally, patients' loss of productivity contributed significantly to the indirect cost. It is high time for healthcare policymakers to address this huge healthcare burden. It is time to develop a thorough diabetes management plan to be implemented nationwide.
METHODS: We did a geospatial modelling study to map the prevalence of solid-fuel use for cooking at a 5 km × 5 km resolution in 98 LMICs based on 2·1 million household observations of the primary cooking fuel used from 663 population-based household surveys over the years 2000 to 2018. We use observed temporal patterns to forecast household air pollution in 2030 and to assess the probability of attaining the Sustainable Development Goal (SDG) target indicator for clean cooking. We aligned our estimates of household air pollution to geospatial estimates of ambient air pollution to establish the risk transition occurring in LMICs. Finally, we quantified the effect of residual primary solid-fuel use for cooking on child health by doing a counterfactual risk assessment to estimate the proportion of deaths from lower respiratory tract infections in children younger than 5 years that could be associated with household air pollution.
FINDINGS: Although primary reliance on solid-fuel use for cooking has declined globally, it remains widespread. 593 million people live in districts where the prevalence of solid-fuel use for cooking exceeds 95%. 66% of people in LMICs live in districts that are not on track to meet the SDG target for universal access to clean energy by 2030. Household air pollution continues to be a major contributor to particulate exposure in LMICs, and rising ambient air pollution is undermining potential gains from reductions in the prevalence of solid-fuel use for cooking in many countries. We estimated that, in 2018, 205 000 (95% uncertainty interval 147 000-257 000) children younger than 5 years died from lower respiratory tract infections that could be attributed to household air pollution.
INTERPRETATION: Efforts to accelerate the adoption of clean cooking fuels need to be substantially increased and recalibrated to account for subnational inequalities, because there are substantial opportunities to improve air quality and avert child mortality associated with household air pollution.
FUNDING: Bill & Melinda Gates Foundation.
AREAS COVERED: This review covers the epidemiology and burden of COPD in LMICs, and challenges and recommendations related to health-care systems, prevention, diagnosis, and treatment. Main challenges are related to under-resourced health-care systems (such as limited availability of spirometry, rehabilitation, and medicines). Lack of policy and practical local guidelines on COPD diagnosis and management further contribute to the low diagnostic and treatment rates. In the absence of, or limited number of respiratory specialists, primary care practitioners (general practitioners, nurses, pharmacists, physiotherapists, and community health workers) play an even more pivotal role in COPD management in LMICs.
EXPERT OPINION: Raising awareness on COPD, educating health-care workers, patients, and communities on cost-effective preventive measures as well as improving availability, affordability and proper use of diagnostic and pharmacological and non-pharmacologic treatment in primary care are the key interventions needed to improve COPD prevention, diagnosis, and care in LMICs.
METHODS: A systematic review and meta-analysis of interventional studies assessing quality improvement processes, interventions, and structure in developing country surgical systems was conducted according to the Preferred Reporting Items of Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies were included if they were conducted in an LMIC, occurred in a surgical setting, and measured the effect of an implementation and its impact. The primary outcome was mortality, and secondary outcomes were rates of rates of hospital-acquired infection (HAI) and surgical site infections (SSI). Prospero Registration: CRD42020171542.
RESULT: Of 38,273 search results, 31 studies were included in a qualitative synthesis, and 28 articles were included in a meta-analysis. Implementation of multimodal bundled interventions reduced the incidence of HAI by a relative risk (RR) of 0.39 (95%CI 0.26 to 0.59), the effect of hand hygiene interventions on HAIs showed a non-significant effect of RR of 0.69 (0.46-1.05). The WHO Safe Surgery Checklist reduced mortality by RR 0.68 (0.49 to 0.95) and SSI by RR 0.50 (0.33 to 0.63) and antimicrobial stewardship interventions reduced SSI by RR 0.67 (0.48-0.93).
CONCLUSION: There is evidence that a number of quality improvement processes, interventions and structural changes can improve mortality, HAI and SSI outcomes in the peri-operative setting in LMICs.
METHODS: Country-specific data from a multinational prospective cohort study, Association of Southeast Asian Nations Costs in Oncology Study, comprising 1,249 cancer survivors were included. Household costs of complementary medicine (healthcare practices or products that are not considered as part of conventional medicine) throughout the first year after cancer diagnosis were measured using cost diaries. Study outcomes comprised (1) shares of household expenditures on complementary medicine from total out-of-pocket costs and health costs that were respectively incurred in relation to cancer, (2) incidence of financial catastrophe (out-of-pocket costs related to cancer ≥ 30% of annual household income), and (3) economic hardship (inability to pay for essential household items or services).
RESULTS: One third of patients reported out-of-pocket household expenditures on complementary medicine in the immediate year after cancer diagnosis, accounting to 20% of the total out-of-pocket costs and 35% of the health costs. Risk of financial catastrophe was higher in households reporting out-of-pocket expenditures on complementary medicine (adjusted odds ratio: 1.39 [95% CI, 1.05 to 1.86]). Corresponding odds ratio within patients from low-income households showed that they were substantially more vulnerable: 2.28 (95% CI, 1.41 to 3.68). Expenditures on complementary medicine were, however, not associated with economic hardship in the immediate year after cancer diagnosis.
CONCLUSION: In settings with universal health coverage, integration of subsidized evidence-based complementary medicine into mainstream cancer care may alleviate catastrophic expenditures. However, this must go hand in hand with interventions to reduce the use of nonevidence-based complementary therapies following cancer.
METHODS: This study involved 2004 nationally representative community-dwelling older Malaysians from the bottom 40% household income group. Financial well-being was assessed by the four-item financial satisfaction scale, while life satisfaction was measured by the Satisfaction with Life Scale. Cognitive function was measured by using the Malay version of the Mini-Mental State Examination. Hierarchical multiple regression was used as the prime method for statistical analysis.
RESULTS: Financial well-being was positively associated with life satisfaction and cognitive function. Sex moderated the relationship between financial well-being and life satisfaction but not between financial well-being and cognitive function.
CONCLUSIONS: Financial well-being and life satisfaction were strongly correlated among older women, although no gender difference was found for the relationship between financial well-being and cognitive function. It appears financial well-being strongly predicts mental health. As such, poverty eradication initiatives targeting low-income older adults should be implemented to sustain life satisfaction and cognitive function.
METHODS: A systematic review and meta-analysis of interventional studies assessing quality improvement processes, interventions, and structure in developing country trauma systems was conducted from November 1989 to August 2020 according to the Preferred Reporting Items of Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies were included if they were conducted in an LMIC population according to World Bank Income Classification, occurred in a trauma setting, and measured the effect of implementation and its impact. The primary outcome was trauma mortality.
RESULTS: Of 37,575 search results, 30 studies were included from 15 LMICs covering five WHO regions in a qualitative synthesis. Twenty-seven articles were included in a meta-analysis. Implementing a pre-hospital trauma system reduced overall trauma mortality by 45% (risk ratio (RR) 0.55, 95% CI 0.4 to 0.75). Training first responders resulted in an overall decrease in mortality (RR 0.47, 95% CI 0.28 to 0.78). In-hospital trauma training with certified courses resulted in a reduction of mortality (RR 0.71, 95% CI 0.62 to 0.78). Trauma audits and trauma protocols resulted in varying improvements in trauma mortality.
CONCLUSION: There is evidence that quality improvement processes, interventions, and structure can improve mortality in the trauma systems in LMICs.
METHODS: We conducted a search of electronic databases and gray literature and evaluated the methodological quality and risk of bias of included studies.
RESULTS: A total of 30 studies met the inclusion criteria. Interventions that support girls' schooling through cash or in-kind transfers show the clearest pattern of success in preventing child marriage, with 8 of 10 medium-high quality studies showing positive results. Although limited in number, five studies on favorable job markets and targeted life skills and livelihoods training show consistent positive results. Comparatively, asset or cash transfers conditional on delaying marriage show success only among two of four evaluations, and the three studies on unconditional cash transfers for poverty mitigation show no effect. Findings also show a low success rate for multicomponent interventions with positive results in only one of eight medium-high quality studies. Further, single component interventions were much more likely to be at scale and sustainable than multicomponent interventions.
CONCLUSIONS: These results indicate that enhancement of girls' own human capital and opportunities is the most compelling pathway to delaying marriage. In contrast, low rates of success, scale-up, and sustainability of multicomponent programs requires reconsideration of this approach.
STUDY DESIGN: Cross-sectional, web-based survey administered between May and June, 2020.
RESULTS: Of 189 invited participants in 69 LMICs, we received 145 (77%) responses from 58 (84%) countries. The pandemic provides significant challenges to neonatal care, particularly in low-income countries. Respondents noted exacerbations of preexisting shortages in staffing, equipment, and isolation capabilities. In Sub-Saharan Africa, 9/35 (26%) respondents noted increased mortality in non-COVID-19-infected infants. Clinical practices on cord clamping, isolation, and breastfeeding varied widely, often not in line with World Health Organization guidelines. Most respondents noted family access restrictions, and limited shared decision-making.
CONCLUSIONS: Many LMICs face an exacerbation of preexisting resource challenges for neonatal care during the pandemic. Variable approaches to care delivery and deviations from guidelines provide opportunities for international collaborative improvement.
METHODS: MOOC participants were invited to take part in an anonymous online survey examining their knowledge of IR and how they applied it in their professional practice approximately 1-1.5 years after completing their course. The survey contained 43 open-ended, multiple choice and Likert-type questions. Descriptive statistics were calculated for the quantitative data and responses to the open-ended questions were thematically coded.
RESULTS: A total of 748 MOOC participants responded to the survey. The demographic profile of the survey respondents aligned with that of the MOOC participants, with nearly 70% of respondents originating from Africa. Responses to the quantitative and open-ended survey questions revealed that respondents' knowledge of IR had improved to a large extent as a result of the MOOC, and that they used the knowledge and skills gained in their professional lives frequently and had consequently changed their professional behaviour. Respondents most often cited the problem-solving aspect of IR as a substantial area of behavioral change influenced by participating in the MOOC.
CONCLUSIONS: These findings indicate that the MOOC was successful in targeting learners from LMICs, in strengthening their IR knowledge and contributing to their ability to apply it in their professional practice. The utility of MOOCs for providing IR training to learners in LMICs, where implementation challenges are encountered often, makes this platform an ideal standalone learning tool or one that could be combined with other training formats.
DESIGN: Population-based prospective observational study.
SETTING: Urban and rural communities in 20 high income, middle income and low income.
PARTICIPANTS: 119 894 community-dwelling middle-aged adults.
MAIN OUTCOME MEASURES: Associations of social isolation with mortality, cardiovascular death, non-cardiovascular death and incident diseases.
RESULTS: Social isolation was more common in middle-income and high-income countries compared with low-income countries, in urban areas than rural areas, in older individuals and among women, those with less education and the unemployed. It was more frequent among smokers and those with a poorer diet. Social isolation was associated with greater risk of mortality (HR of 1.26, 95% CI: 1.17 to 1.36), incident stroke (HR: 1.23, 95% CI: 1.07 to 1.40), cardiovascular disease (HR: 1.15, 95% CI: 1.05 to 1.25) and pneumonia (HR: 1.22, 95% CI: 1.09 to 1.37), but not cancer. The associations between social isolation and mortality were observed in populations in high-income, middle-income and low-income countries (HR (95% CI): 1.69 (1.32 to 2.17), 1.27 (1.15 to 1.40) and 1.47 (1.25 to 1.73), respectively, interaction p=0.02). The HR associated with social isolation was greater in men than women and in younger than older individuals. Mediation analyses for the association between social isolation and mortality showed that unhealthy behaviours and comorbidities may account for about one-fifth of the association.
CONCLUSION: Social isolation is associated with increased risk of mortality in countries at different economic levels. The increasing share of older people in populations in many countries argues for targeted strategies to mitigate its adverse effects.
METHODS: Grey literature was searched at the library of the University of Kebangsaan, Malaysia, on database engines Google Scholar and Science Direct with specific key words to screen papers published from January 2001 to June 2016. They were reviewed to identify the key factors affecting scaling up of health-related pilot projects. Full-text articles were selected, and their reference lists were checked to look for relevant papers. They were short-listed and analysed using thematic approach.
RESULTS: Of the 47 articles initially screened, 14(29.78%) were shortlisted. Thematic analysis of the selected articles suggested several key factors contributed to the successful scale-up of pilot projects. These factors included evidence-based and effective intervention, community readiness, government support, stakeholders' engagement, and monitoring and supervision.
CONCLUSIONS: To maximise health coverage in developing and low middle-income countries, scaling up of health interventions on a large scale is essential to improve the health and wellbeing of people. The identified key factors should be considered while planning the scale-up of any health project.