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Background In humans, many diseases are associated with the accumulation of free radicals. Antioxidants can scavenge free radicals and minimize their impact. Therefore, the search for naturally occurring antioxidants of plant origin is imperative. Here, we aimed to investigate the antioxidant and free radical scavenging properties of methanolic extracts from Tabebuia pallida ( T. pallida ) stem bark (TPSB), root bark (TPRB), leaves (TPL), and flowers (TPF). Methods The antioxidant and free radical scavenging activity were determined by several standard methods using spectrophotomer. Total phenolic and flavonoid contents were estimated using Folin-Ciocalteu reagent and aluminum chloride colorimetric assay methods, respectively. Results Among the extracts, TPL showed the highest total antioxidant capacity followed by TPRB, TPF, and TPSB. Based on DPPH and hydroxyl radical scavenging activity, TPL showed strong scavenging activity (91.05 ± 1.10 and 62.00 ± 0.57) with IC 50 of 9.20 ± 0.28 and 46.00 ± 2.84 μg/mL, respectively when compared with standard BHT (IC 50 of 7.00 ± 0.25 μg/mL) and CA (75.00 ± 0.14 μg/mL). These results suggest that TPL had the highest radical scavenging activity among the extractives that closely resembled the standard’s. In lipid peroxidation inhibition assay, TPL exhibited the most potent inhibitory activity (83.18 ± 2.12 %) with IC 50 of 12.00 ± 2.12 μg/mL, which closely resembled standard CA (IC 50 of 10.50 ± 0.28 μg/mL). Also, the reducing capacity on ferrous ion was in the following order: TPL > TPRB > TF > TPSB. The phenolic and flavonoid contents of TPL were higher than other extractives. A positive correlation ( p value < 0 .001) was observed between phenolic content and free radical (DPPH · and · OH) scavenging efficiencies and lipid peroxidation inhibition activity. Conclusion Methanolic extract of T. pallida leaf is a potential source of natural antioxidants and serves as an effective free radical scavenger and/or inhibitor. Hence, T. pallida might be a good plant-based pharmaceutical product for several diseases caused by free radicals.

Poor health is a source of impoverishment among households in low -and middle- income countries (LMICs) and a subject of voluminous literature in recent years. This paper reviews recent empirical literature on measuring the economic impacts of health shocks on households. Key inclusion criteria were studies that explored household level economic outcomes (burden of out-of-pocket (OOP) health spending, labour supply responses and non-medical consumption) of health shocks and sought to correct for the likely endogeneity of health shocks, in addition to studies that measured catastrophic and impoverishment effects of ill health. The review only considered literature in the English language and excluded studies published before 2000 since these have been included in previous reviews. We identified 105 relevant articles, reports, and books. Our review confirmed the major conclusion of earlier reviews based on the pre-2000 literature - that households in LMICs bear a high but variable burden of OOP health expenditure. Households use a range of sources such as income, savings, borrowing, using loans or mortgages, and selling assets and livestock to meet OOP health spending. Health shocks also cause significant reductions in labour supply among households in LMICs, and households (particularly low-income ones) are unable to fully smooth income losses from moderate and severe health shocks. Available evidence rejects the hypothesis of full consumption insurance in the face of major health shocks. Our review suggests additional research on measuring and harmonizing indicators of health shocks and economic outcomes, measuring economic implications of non-communicable diseases for households and analyses based on longitudinal data. Policymakers need to include non-health system interventions, including access to credit and disability insurance in addition to support formal insurance programs to ameliorate the economic impacts of health shocks.

Background Inequality in postnatal care (PNC) has remained a challenge in many low- and middle-income countries, like Bangladesh and Pakistan. The study examines within-country and between-country inequality in utilizing PNC services for Bangladesh and Pakistan. Methods The study used the latest Demographic and Health Survey (DHS, 2017–2018) datasets of Bangladesh and Pakistan for women aged 15–49 years who had given at least one live birth in the three years preceding the survey. As outcome variables, three PNC service indicators were considered: PNC check of women, PNC check of newborns, and adequate PNC content of newborns. Concentration curves and equiplots were constructed to visually demonstrate inequality in PNC services. For ordered equity strata with more than two categories, the relative concentration index (RCI), absolute concentration index (ACI), and slope index of inequality (SII) were calculated to measure inequalities in the utilization of PNC services. For two categories equity strata, rate ratio (RR) and rate difference (RD) were calculated. Results In Bangladesh, the level of inequality was high and almost the same for the PNC check of women and newborns based on women’s education (PNC women- RCI: 0.404, ACI: 0.403, SII: 0.624; and PNC newborn- RCI: 0.402, ACI: 0.402, SII: 0.622), wealth (PNC women- RCI: 0.448, ACI: 0.448, SII: 0.643; and PNC newborn- 0.441, ACI: 0.441, SII: 0.633), and number of ANC visits (PNC women- RCI: 0.329, ACI: 0.329, SII: 0.595; and PNC newborn- RCI: 0.329, ACI: 0.329, SII: 0.594). In Pakistan, the level of inequality was higher for the PNC check of women among all PNC services based on women’s education (ACI: 0.388 and SII: 0.676) and wealth (ACI: 0.397 and SII: 0.598). For Bangladesh and Pakistan, RR values (2.114 and 3.873, respectively) indicated greater media exposure-related inequality in adequate PNC content of newborns. Inequality in facility delivery was highest for PNC checks of women and newborns in Bangladesh (PNC women- RD: 0.905, PNC newborn- RD: 0.900) and Pakistan (PNC women- RD: 0.726, PNC newborn-RD: 0.743). Conclusion Inequality was higher in Bangladesh than in Pakistan for PNC checks of women and newborns based on wealth, media exposure, and mode of delivery. For adequate PNC content of newborns, inequality was greater in Pakistan than in Bangladesh. Country-specific customized policies would better minimize the gap between the privileged and underprivileged groups and reduce inequality.

Background Financial risk protection (FRP), defined as households’ access to needed healthcare services without experiencing undue financial hardship, is a critical health systems target, particularly in low- and middle-income countries (LMICs). Given the remarkable growth in FRP literature in recent times, we conducted a scoping review of the literature on FRP from out-of-pocket (OOP) health spending in LMICs. The objective was to review current knowledge, identify evidence gaps and propose future research directions. Methods We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines to conduct this scoping review. We systematically searched PubMed, Scopus, ProQuest and Web of Science in July 2021 for literature published since 1 January 2015. We included empirical studies that used nationally representative data from household surveys to measure the incidence of at least one of the following indicators: catastrophic health expenditure (CHE), impoverishment, adoption of strategies to cope with OOP expenses, and forgone care for financial reasons. Our review covered 155 studies and analysed the geographical focus, data sources, methods and analytical rigour of the studies. We also examined the level of FRP by disease categories (all diseases, chronic illnesses, communicable diseases) and the effect of health insurance on FRP. Results The extant literature primarily focused on India and China as research settings. Notably, no FRP study was available on chronic illness in any low-income country (LIC) or on communicable diseases in an upper-middle-income country (UMIC). Only one study comprehensively measured FRP by examining all four indicators. Most studies assessed (lack of) FRP as CHE incidence alone (37.4%) or as CHE and impoverishment incidence (39.4%). However, the LMIC literature did not incorporate the recent methodological advances to measure CHE and impoverishment that address the limitations of conventional methods. There were also gaps in utilizing available panel data to determine the length of the lack of FRP (e.g. duration of poverty caused by OOP expenses). The current estimates of FRP varied substantially among the LMICs, with some of the poorest countries in the world experiencing similar or even lower rates of CHE and impoverishment compared with the UMICs. Also, health insurance in LMICs did not consistently offer a higher degree of FRP. Conclusion The literature to date is unable to provide a reliable representation of the actual level of protection enjoyed by the LMIC population because of the lack of comprehensive measurement of FRP indicators coupled with the use of dated methodologies. Future research in LMICs should address the shortcomings identified in this review.

Background Inequality in maternal health has remained a challenge in many low-income countries, like Bangladesh and Pakistan. The study examines within-country and between-country inequality in utilization of maternal healthcare services for Bangladesh and Pakistan. Methods The study used the latest Demographic Health Surveys (DHS, 2017–2018) datasets of Bangladesh and Pakistan for women aged 15–49 years who had given at least one live birth in three years preceding the survey. Equity strata were identified from the literature and conformed by binary logistic regressions. For ordered equity strata with more than two categories, the relative concentration index (RCI), absolute concentration index (ACI) and the slope index of inequality (SII) were calculated to measure inequalities in the utilization of four maternal healthcare services. For two-categories equity strata, rate ratio (RR), and rate difference (RD) were calculated. Concentration curves and equiplots were constructed to visually demonstrate inequality in maternal healthcare services. Results In Bangladesh, there was greater inequality in skilled birth attendance (SBA) based on wealth (RCI: 0.424, ACI: 0.423, and SII: 0.612), women’s education (RCI: 0.380, ACI: 0.379 and SII: 0.591), husband’s education (RCI: 0.375, ACI: 0.373 and SII: 0.554) and birth order (RCI: − 0.242, ACI: − 0.241, and SII: -0.393). According to RCI, ACI, and SII, there was inequality in Pakistan for at least four ANC visits by the skilled provider based on wealth (RCI: 0.516, ACI: 0.516 and SII: 0.738), women’s education (RCI: 0.470, ACI: 0.470 and SII: 0.757), and husband’s education (RCI: 0.380, ACI: 0.379 and SII: 0.572). For Bangladesh, the RR (1.422) and RD (0.201) imply more significant urban–rural inequality in SBA. In Pakistan, urban–rural inequality was greater for at least four ANC visits by the skilled provider (RR: 1.650 and RD 0.279). Conclusion Inequality in maternal healthcare is greater among the underprivileged group in Pakistan than in Bangladesh. In Bangladesh, the SBA is the most inequitable maternal healthcare, while for Pakistan it is at least four ANC visits by the skilled provider. Customized policies based on country context would be more effective in bridging the gap between the privileged and underprivileged groups.

Background The importance of non-communicable diseases (NCDs) in Nigeria is reflected in their growing burden that is fast overtaking that of infectious diseases. As most NCD care is paid for through out-of-pocket (OOP) expenses, and NCDs tend to cause substantial income losses through chronic disabilities, the rising NCD-related health burden may also be economically detrimental. Given the lack of updated national-level evidence on the economic burden of NCDs in Nigeria, this study aims to produce new evidence on the extent of financial hardship experienced by households with NCDs in Nigeria due to OOP expenditure and productivity loss. Methods This study analysed cross-sectional data from the most recent round (2018–19) of the Nigeria Living Standard Survey (NLSS). Household-level health and consumption data were used to estimate catastrophic health expenditure (CHE) and impoverishing effects due to OOP health spending, using a more equitable method recently developed by the World Health Organization European region in 2018. The productivity loss by individuals with NCDs was also estimated from income and work-time loss data, applying the input-based human capital approach. Results On average, a household with NCDs spent ₦ 122,313.60 or $ 398.52 per year on NCD care, representing 24% of household food expenditure. The study found that OOP on cancer treatment, mental problems, and renal diseases significantly contribute to the cost of NCD care. The OOP expenditure led to catastrophic and impoverishing outcomes for households. The estimations showed that about 30% of households with NCDs experienced CHE in 2018, using the WHO Europe method at the 40% threshold. The study also found that the cost of NCD medications was a significant driver of CHE among NCD-affected households. The results showed heterogeneity in CHE and impoverishment across states and geographical regions in Nigeria, with a higher concentration in rural and North East geopolitical locations. The study also found that 20% of NCD-affected households were impoverished or further impoverished by OOP payment, and another 10% were on the verge of impoverishment. The results showed a negligible rate of unmet needs among households with NCDs. Conclusions The study highlights the significant effect of NCDs on Nigerian households and the need for effective policy interventions to address this challenge, particularly among the poor and vulnerable.

Background Ensuring financial risk protection in health care and achieving universal health coverage (UHC) by 2030 is one of the crucial Sustainable Development Goals (SDGs) targets for many low- and middle-income countries (LMICs), including Bangladesh. We examined the critical trajectory of financial risk protection against out-of-pocket (OOP) health expenditure in Bangladesh. Methods Using Bangladesh Household Income and Expenditure Survey data from 2005, 2010, and 2016, we examined the levels and distributions of catastrophic health expenditure (CHE) and impoverishment incidences. We used the normative food, housing, and utilities method, refining it by categorizing households with zero OOP expenses by reasons. Results OOP expenditure doubled between 2005 and 2016 (USD 115.6 in 2005, USD 162.1 in 2010, USD 242.9 in 2016), accompanied by rising CHE (11.5% in 2005, 11.9% in 2010, 16.6% in 2016) and impoverishment incidence (1.5% in 2005, 1.6% in 2010, 2.3% in 2016). While further impoverishment of the poor households due to OOP expenditure (3.6% in 2005, 4.1% in 2010, 3.9% in 2016) was a more severe problem than impoverishment of the non-poor, around 5.5% of non-poor households were always at risk of impoverishment. The poorest households were the least financially protected throughout the study period (lowest vs. highest quintile CHE: 29.5% vs. 7.6%, 33.2% vs. 7.2%, and 37.6% vs. 13.0% in 2005, 2010, and 2016, respectively). The disparity in CHE among households with and without chronic illness was also remarkable in 2016 (25.0% vs. 9.1%). Conclusion Financial risk protection in Bangladesh exhibits a deteriorated trajectory from 2005 to 2016, posing a significant challenge to achieving UHC and, thus, the SDGs by 2030. The poorest and chronically ill households disproportionately lacked financial protection. Reversing the worsening trends of CHE and impoverishment and addressing the inequities in their distributions calls for implementing UHC and thus providing financial protection against illness.

Apart from the morbidity and mortality, the Coronavirus disease 2019 (COVID-19) pandemic has increased the predisposition of households in Nigeria to forgone care, thereby increasing their vulnerability to adverse health consequences. Since there is no previous study in Nigeria on the evolution of pandemic-related forgone care and its drivers, our study assess the evolution of the problem using descriptive and nationally representative panel data analyses. We found about a 30% prevalence of forgone care during the lockdown, which declined progressively afterwards, dropping by 69.50 percentage points between April 2020 and April 2022. This decline produced a surge in households needing care from about 35.00% in the early pandemic to greater than 50%, beginning in early 2021. The forgone care was primarily due to financial hindrances, movement restrictions, and supply-side disruptions. Household socioeconomic factors such as income loss had 2.74 [95%CI: 1.45–5.17] times higher odds of forgone care, job loss, food insecurity, and poverty were 87% (OR: 1.87 [95%CI: 1.25–2.79]), 60% (OR: 1.60 [95%CI: 1.12–2.31]) and 76% (OR: 1.76 [95%CI: 1.12–2.75]) more likely to predispose households to forgone care, respectively. Also, geographical location, such as the South-South zone, induced 1.98 [95%CI: 1.09–3.58] times higher odds of forgone care than North-Central. A married female household head increased the odds by 6.07 [95%CI: 1.72–21.47] times compared with an unmarried female head. However, having a married household head, social assistance, and North-East or North-West zone compared with North-Central increased the chance of accessing care by 69% (OR 0.31 [95%CI: 0.16–0.59]), 59%,(OR 0.41 [95%CI: 0.21–0.77]), 72% (OR 0.28 [95%CI: 0.15–0.53]) and 64% (OR 0.36 [95%CI: 0.20–0.65]), respectively. Non-communicable diseases, disability, old age, large household size and rural-urban location did not affect the forgone care. Our study highlights the need to strengthen Nigeria’s health system, create policies to promote healthcare accessibility and prepare the country for future pandemic challenges.

Globally, road traffic injuries accounted for about 1.36 million deaths in 2015 and are projected to become the fourth leading cause of disability-adjusted life years (DALYs) lost by 2030. One-fifth of these deaths occurred in South Asia where road traffic injuries are projected to increase by 144% by 2020. Despite this rapidly increasing disease burden there is limited evidence on the economic burden of road traffic injuries on households in South Asia. We applied a novel coarsened exact matching method to assess the household economic burden of road traffic injuries using nationally representative World Health Survey data from five South Asian countries- Bangladesh, India, Nepal, Pakistan and Sri Lanka collected during 2002-2003. We examined the impact of road traffic injuries on household out-of-pocket (OOP) health spending, household non-medical consumption expenditure and the employment status of the traffic injury-affected respondent. We exactly matched a household (after 'coarsening') where a respondent reported being involved in a road traffic injury to households where the respondent did not report a road traffic injury on each of multiple observed household characteristics. Our analysis found that road traffic injury-affected households had significantly higher levels of OOP health spending per member (I$0.75, p<0.01), higher OOP spending on drugs per member (I$0.30, p = 0.03), and higher OOP hospital spending per member (I$0.29, p<0.01) in the four weeks preceding the survey. Indicators of \"catastrophic spending\" were also significantly higher in road traffic injury-affected households: 6.45% (p<0.01) for a threshold of OOP health spending to total household spending ratio of 20%, and 7.40% (p<0.01) for a threshold of OOP health spending to household 'capacity to pay' ratio of 40%. However, no statistically significant effects were observed for household non-medical consumption expenditure, and employment status of the road traffic injury-affected individual. Our analysis points to the need for financial risk protection against the road traffic injury-related OOP health expenditure and a focus on prevention.

Diabetes has become a major cause of morbidity and mortality in South Asia. Using the data from the three STEPwise approach to Surveillance (STEPS) surveys conducted in Bangladesh, Bhutan, and Nepal during 2018–2019, this study tried to quantify the gaps in diabetes screening, awareness, treatment, and control in these three South Asian countries. Diabetes care cascade was constructed by decomposing the population with diabetes (diabetes prevalence) in each country into five mutually exclusive and exhaustive categories: (1) unscreened and undiagnosed, (2) screened but undiagnosed, (3) diagnosed but untreated, (4) treated but uncontrolled, (5) treated and controlled. In Bangladesh, Bhutan, and Nepal, among the participants with diabetes, 14.7%, 35.7%, and 4.9% of the participants were treated and controlled, suggesting that 85.3%, 64.3%, and 95.1% of the diabetic population had unmet need for care, respectively. Multivariable logistic regression models were used to explore factors associated with awareness of the diabetes diagnosis. Common influencing factors for awareness of the diabetes diagnosis for Bangladesh and Nepal were living in urban areas [Bangladesh-adjusted odd ratio (AOR):2.1; confidence interval (CI):1.2, 3.6, Nepal-AOR:6.2; CI:1.9, 19.9].