The evolution of household forgone essential care and its determinants during the COVID-19 pandemic in Nigeria: A longitudinal analysis.

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.

Patterns and determinants of healthcare utilization and medication use before and during the COVID-19 crisis in Afghanistan, Bangladesh, and India.

BACKGROUND: COVID-19 rapidly spread through South Asian countries and overwhelmed the health systems that were unprepared for such an outbreak. Evidence from high-income countries showed that COVID-19 impacted healthcare utilization, including medication use, but empirical evidence is lacking in South Asia. This study aimed to investigate the effect of COVID-19 on healthcare utilization and medication use in South Asia. METHOD: The current study used longitudinal data from the 'Premise Health Service Disruption Survey' 2020 and 2021. The countries of interest were limited to Afghanistan, Bangladesh, and India. In these surveys, data related to healthcare utilization and medication use were collected for three-time points; 'Pre-COVID phase', 'Initial phase of COVID-19 outbreak', and 'One year of COVID-19 outbreak'. Generalized estimating equation (GEE) along with McNemar's test, Kruskal-Wallis test and χ2 test were applied in this study following the conceptualization of Andersen's healthcare utilization model. RESULT: The use of healthcare and medication was unevenly impacted by the COVID-19 epidemic in Afghanistan, Bangladesh, and India. Immediately after the COVID-19 outbreak, respondents in Bangladesh reported around four times higher incomplete healthcare utilization compared to pre-COVID phase. In contrast, respondents in Afghanistan reported lower incomplete utilization of healthcare in a similar context. In the post COVID-19 outbreak, non-adherence to medication use was significantly higher in Afghanistan (OR:1.7; 95%CI:1.6,1.9) and India (OR:1.3; 95%CI:1.1,1.7) compared to pre-COVID phase. Respondents of all three countries who sought assistance to manage non-communicable diseases (NCDs) had higher odds (Afghanistan: OR:1.5; 95%CI:1.3,1.8; Bangladesh: OR: 3.7; 95%CI:1.9,7.3; India: OR: 2.3; 95% CI: 1.4,3.6) of non-adherence to medication use after the COVID-19 outbreak compared to pre-COVID phase. CONCLUSION: The present study documented important evidence of the influence of COVID-19 epidemic on healthcare utilization and medication use in three countries of South Asia. Lessons learned from this study can feed into policy responses to the crisis and preparedness for future pandemics.

Exploratory analysis using machine learning algorithms to predict pinch strength by anthropometric and socio-demographic features.

Objectives. This study examines the role of different machine learning (ML) algorithms to determine which socio-demographic factors and hand-forearm anthropometric dimensions can be used to accurately predict hand function. Methods. The cross-sectional study was conducted with 7119 healthy Iranian participants (3525 males and 3594 females) aged 10-89 years. Seventeen hand-forearm anthropometric dimensions were measured by JEGS digital caliper and a measuring tape. Tip-to-tip, key and three-jaw chuck pinches were measured using a calibrated pinch gauge. Subsequently, 21 features pertinent to socio-demographic factors and hand-forearm anthropometric dimensions were used for classification. Furthermore, 12 well-known classifiers were implemented and evaluated to predict pinches. Results. Among the 21 features considered in this study, hand length, stature, age, thumb length and index finger length were found to be the most relevant and effective components for each of the three pinch predictions. The k-nearest neighbor, adaptive boosting (AdaBoost) and random forest classifiers achieved the highest classification accuracy of 96.75, 86.49 and 84.66% to predict three pinches, respectively. Conclusions. Predicting pinch strength and determining the predictive hand-forearm anthropometric and socio-demographic characteristics using ML may pave the way to designing an enhanced tool handle and reduce common musculoskeletal disorders of the hand.

Rural‒urban disparities in household catastrophic health expenditure in Bangladesh: a multivariate decomposition analysis.

BACKGROUND: Rural‒urban disparity in catastrophic healthcare expenditure (CHE) is a well-documented challenge in low- and middle-income countries, including Bangladesh, limiting financial protection and hindering the achievement of the Universal Health Coverage target of the United Nations Sustainable Development Goals. However, the factors driving this divide remain poorly understood. Therefore, this study aims to identify the key determinants of the rural‒urban disparity in CHE incidence in Bangladesh and their changes over time. METHODS: We used nationally representative data from the latest three rounds of the Bangladesh Household Income and Expenditure Survey (2005, 2010, and 2016). CHE incidence among households seeking healthcare was measured using the normative food, housing, and utilities method. To quantify covariate contributions to the rural‒urban CHE gap, we employed the Oaxaca-Blinder multivariate decomposition approach, adapted by Powers et al. for nonlinear response models. RESULTS: CHE incidence among rural households increased persistently during the study period (2005: 24.85%, 2010: 25.74%, 2016: 27.91%) along with a significant (p-value ≤ 0.01) rural‒urban gap (2005: 9.74%-points, 2010: 13.94%-points, 2016: 12.90%-points). Despite declining over time, substantial proportions of CHE disparities (2005: 87.93%, 2010: 60.44%, 2016: 61.33%) are significantly (p-value ≤ 0.01) attributable to endowment differences between rural and urban households. The leading (three) covariate categories consistently contributing significantly (p-value ≤ 0.01) to the CHE gaps were composition disparities in the lowest consumption quintile (2005: 49.82%, 2010: 36.16%, 2016: 33.61%), highest consumption quintile (2005: 32.35%, 2010: 15.32%, 2016: 18.39%), and exclusive reliance on informal healthcare sources (2005: -36.46%, 2010: -10.17%, 2016: -12.58%). Distinctively, the presence of chronic illnesses in households emerged as a significant factor in 2016 (9.14%, p-value ≤ 0.01), superseding the contributions of composition differences in household heads with no education (4.40%, p-value ≤ 0.01) and secondary or higher education (7.44%, p-value ≤ 0.01), which were the fourth and fifth significant contributors in 2005 and 2010. CONCLUSIONS: Rural‒urban differences in household economic status, educational attainment of household heads, and healthcare sources were the key contributors to the rural‒urban CHE disparity between 2005 and 2016 in Bangladesh, with chronic illness emerging as a significant factor in the latest period. Closing the rural‒urban CHE gap necessitates strategies that carefully address rural‒urban variations in the characteristics identified above.

Impact of COVID-19 Pandemic on Healthcare-Associated Infections: A Systematic Review and Meta-Analysis.

This study investigated how the Coronavirus Disease 2019 (COVID-19) pandemic has affected the rate of healthcare-associated infections (HAIs). PubMed, Scopus and Google Scholar were searched to identify potentially eligible studies published from December 2019 to September 2022. A random effect model was used to determine the changes in the rate of HAIs during the pandemic. Thirty-seven studies, mostly from the United States (n = 13), were included. Fifteen studies described how the pandemic affected the rate of CLABSIs and CAUTIs, and eight of them showed a significant increase in CLABSIs. The risk of CLABSIs and CDIs was 27% (pooled odds ratio [OR]: 0.73; confidence interval [CI]: 0.61-0.89; p < 0.001) and 20% (pooled OR: 1.20; CI: 1.10-1.31; p < 0.001) higher during the pandemic compared to before the COVID-19 pandemic period, respectively. However, the overall risk of HAIs was unaffected by the pandemic (pooled OR: 1.00; 95 CI: 0.80-1.24; p = 0.990). Furthermore, there were no significant changes in the risk of CAUTIs (pooled OR: 1.01; 95 CI: 0.88-1.16; p = 0.890), and SSIs (pooled OR: 1.27; CI: 0.91-1.76; p = 0.16) between the two periods. The COVID-19 pandemic had no effect on the overall risk of HAIs among hospitalized patients, but an increased risk of CLABSIs and CDI were observed during the pandemic. Therefore, more stringent infection control and prevention measures and prudent interventions to promote the rational use of antibiotics are warranted across all healthcare facilities to reduce the burden of HAIs.

Identification of Four Novel Candidate Genes for Non-syndromic Intellectual Disability in Pakistani Families.

Intellectual disability, a genetically and clinically varied disorder and is a significant health problem, particularly in less developed countries due to larger family size and high ratio of consanguineous marriages. In the current genetic study, we investigate and find the novel disease causative factors in the four Pakistani families with severe type of non-syndromic intellectual disability. For genetic analysis whole-exome sequencing (WES) and Sanger sequencing was performed. I-TASSER and Cluspro tools were used for Protein modeling and Protein-protein docking. Sanger sequencing confirms the segregation of novel homozygous variants in all the families i.e., c.245 T > C; p.Leu82Pro in SLC50A1 gene in family 1, missense variant c.1037G > A; p.Arg346His in TARS2 gene in family 2, in family 3 and 4, nonsense mutation c.234G > A; p.Trp78Term and missense mutation c.2200G > A; p.Asp734Asn in TBC1D3 and ANAPC2 gene, respectively. In silico functional studies have found the drastic effect of these mutations on protein structure and its interaction properties. Substituted amino acids were highly conserved and present on highly conserved region throughout the species. The discovery of pathogenic variants in SLC50A1, TARS2, TBC1D1 and ANAPC2 shows that the specific pathways connected with these genes may be important in cognitive impairment. The decisive role of pathogenic variants in these genes cannot be determined with certainty due to lack of functional data. However, exome sequencing and segregation analysis of all filtered variants revealed that the currently reported variants were the only variations from the respective families that segregated with the phenotype in the family.

Rice residue promotes mobilisation and plant acquisition of soil phosphorus under wheat (Triticum aestivum)-rice (Oryza sativa) cropping sequence in a semi-arid Inceptisol.

Disposal of significant tonnages of rice straw is expensive, but using it to mobilise phosphorus (P) from inorganically fixed pools in the soil may add value. This study was carried out to determine whether the use of rice straw mixed with phosphorus-solubilizing microbes could solubilize a sizable portion fixed soil P and affect P transformation, silicon (Si) concentration, organic acid concentrations, and enzyme activity to increase plant growth. Depending on the soil temperature, the application of rice straw at 12 Mg ha-1 with phosphorus-solubilizing microbes could solubilize 3.4-3.6% of inorganic P, and minimised the hysteresis impact by 6-8%. At plant maturity, application of rice straw at 12 Mg ha-1 with phosphorus-solubilizing microbes and 75% of recommended P application raised the activity of dehydrogenase, alkaline phosphatase activity, cellulase, and peroxidase by 77, 65, 87, and 82% in soil, respectively. It also boosted Si concentration in the soil by 58%. Wheat grain yield was 40% and 18% higher under rice straw at 12 Mg ha-1 with phosphorus-solubilizing microbes with 75% of recommended P application than under no and 100% P application, respectively. Rice grain yield also increased significantly with the same treatment. Additionally, it increased root volume, length, and P uptake by 2.38, 1.74 and 1.62-times above control for wheat and 1.98, 1.67, and 2.06-times above control for rice, respectively. According to path analysis, P solubilisation by Si and organic acids considerably increased (18-32%) P availability in the rhizosphere. Therefore, cultivators could be advised to use rice straw at 12 Mg ha-1 with phosphorus-solubilizing microbes with 75% P of mineral P fertiliser to save 25% P fertiliser without reducing wheat and rice yield.

Economic burden of non-communicable diseases on households in Nigeria: evidence from the Nigeria living standard survey 2018-19.

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.

Comparison of inequality in utilization of postnatal care services between Bangladesh and Pakistan: Evidence from the Demographic and Health Survey 2017-2018.

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.

Cascade of diabetes care in Bangladesh, Bhutan and Nepal: identifying gaps in the screening, diagnosis, treatment and control continuum.

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].

Effect of drill quality on biological damage in bone drilling.

Bone drilling is a universal procedure in orthopaedics for fracture fixation, installing implants, or reconstructive surgery. Surgical drills are subjected to wear caused by their repeated use, thermal fatigue, irrigation with saline solution, and sterilization process. Wear of the cutting edges of a drill bit (worn drill) is detrimental for bone tissues and can seriously affect its performance. The aim of this study is to move closer to minimally invasive surgical procedures in bones by investigating the effect of wear of surgical drill bits on their performance. The surface quality of the drill was found to influence the bone temperature, the axial force, the torque and the extent of biological damage around the drilling region. Worn drill produced heat above the threshold level related to thermal necrosis at a depth equal to the wall thickness of an adult human bone. Statistical analysis showed that a sharp drill bit, in combination with a medium drilling speed and drilling at shallow depth, was favourable for safe drilling in bone. This study also suggests the further research on establishing a relationship between surface integrity of a surgical drill bit and irreversible damage that it can induce in delicate tissues of bone using different drill sizes as well as drilling parameters and conditions.

Comparison of inequality in utilization of maternal healthcare services between Bangladesh and Pakistan: evidence from the demographic health survey 2017-2018.

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.

Inequity in psychiatric healthcare use in Australia.

BACKGROUND: Despite recent substantial mental healthcare reforms to increase the supply of healthcare, mental health inequality in Australia is rising. Understanding of the level of inequity (unmet need gap) in psychiatric service use in Australia's mixed public-private health care system is lacking. OBJECTIVE: To present a novel method to measure inequity in the delivery of psychiatric care. METHODS: Data came from wave 9 (year 2009, n = 11,563) and wave 17 (year 2017, n = 16,194) of the Household, Income and Labour Dynamics in Australia (HILDA) survey. Multiple logistic regression was employed to estimate the psychiatric care utilisation compared to its need and the Gini index was used to estimate the standardised distribution of utilisation to measure the extent of inequity. RESULTS: The results show the inequity indices (need-standardised Gini) in psychiatric care utilisation were significant and found to be 0.066 and 0.096 in 2009 and 2017, respectively, for all individuals. In 2009, the inequity indices were found to be 0.051 and 0.078 for males and females, respectively, and 0.045 and 0.068 for rural and urban residents, respectively. In 2017, the indices were calculated to be 0.081 and 0.109 for males and females, respectively, and 0.086 and 0.097 for rural and urban residents, respectively. CONCLUSIONS: This study showed a marked increase in unmet needs in psychiatric care utilisation since 2009. There is a greater need to develop policies to improve equity in psychiatric care utilisation in Australia.

Selective anti-cancer activity against melanoma cells using 3-O-acetyl-ß-boswellic acid-loaded 3D-Printed scaffold.

This study aimed to develop a local 3 D-printed bioactive graft using poly-caprolacton (PCL) as a drug carrier and 3-O-acetyl-ß-boswellic acid (ß-ABA) as an anticancer compound. ß-ABA-loaded 3 D-printed scaffold was fabricated and physically characterized. The results indicated more desirable mechanical and physical properties of the ß-ABA-loaded PCL mat in comparison with the PCL scaffold. Following sustained release of ß-ABA, the ß-ABA-loaded PCL scaffold revealed selective cytotoxic activity against melanoma cells, while the PCL + ABA with the bolus delivery of ß-ABA was toxic against fibroblast cells. Followed by the induction of apoptosis in melanoma cells at the gene level, the result of the western blot showed that the ß-ABA-loaded scaffold significantly up-regulated P53 and down-regulated BCL2, with an increment in the ratio of Bax/BCL2. The selective anti-cancer properties of ß-ABA-loaded 3 D printed scaffold against melanoma cells indicated that this scaffold could be potentially used as a bioactive graft to improve the melanoma treatment.

Comparative study of the cytotoxicity, apoptotic, and epigenetic effects of Boswellic acid derivatives on breast cancer.

This study aimed to compare the effect of Boswellic acid derivatives on the viability, apoptosis, and epigenomic profiling of breast cancer. According to the viability assays, 3-O-acetyl-11-keto-ß-Boswellic acid (AKBA) showed more toxicity against MDA-MB-231 cells when compared with the 3-O-acetyl-ß-Boswellic acid (ABA). In contrast, ABA revealed less toxicity against MCF-10A. Cell cycle and apoptosis assays determined the maximum apoptotic effect of AKBA on MCF-7, and MDA-MB-231 cells. Interestingly, ß-Boswellic acid (BA) and ABA did not promote the apoptosis in MCF-10A cells. Transwell migration assay indicated the greatest normalized inhibition (around 160%) in the migration of MDA-MB-231 cells induced by AKBA. The expression of P53, BAX, and BCL2 genes in cancerous cell lines has affirmed that both AKBA and ABA could induce the maximal apoptosis. Western-blot investigation demonstrated that the maximum over-expression of P53 protein (1.96 times) was caused by AKBA in MDA-MB-231 cells, followed by ABA in MCF-7 cells. The BCL2 protein expression was in agreement with the previously reported results. The global DNA methylation in both cancerous cells was reduced by ABA. These results suggest that ABA represented more epigenetic modulatory effect while AKBA shows more cytotoxic and apoptotic effect against breast cancer cell lines.

Financial risk protection against noncommunicable diseases: trends and patterns in Bangladesh.

BACKGROUND: Demographic and epidemiological transitions are changing the disease burden from infectious to noncommunicable diseases (NCDs) in low- and middle-income countries, including Bangladesh. Given the rising NCD-related health burdens and growing share of household out-of-pocket (OOP) spending in total health expenditure in Bangladesh, we compared the country's trends and socioeconomic disparities in financial risk protection (FRP) among households with and without NCDs. METHODS: We used data from three recent waves of the Bangladesh Household Income and Expenditure Survey (2005, 2010, and 2016) and employed the normative food, housing (rent), and utilities method to measure the levels and distributions of catastrophic health expenditure (CHE) and impoverishing effects of OOP health expenditure among households without NCDs (i.e. non-NCDs only) and with NCDs (i.e. NCDs only, and both NCDs and non-NCDs). Additionally, we examined the incidence of forgone care for financial reasons at the household and individual levels. RESULTS: Between 2005 and 2016, OOP expenses increased by more than 50% across all households (NCD-only: USD 95.6 to 149.3; NCD-and-non-NCD: USD 89.5 to 167.7; non-NCD-only: USD 45.3 to 73.0), with NCD-affected families consistently spending over double that of non-affected households. Concurrently, CHE incidence grew among NCD-only families (13.5% to 14.4%) while declining (with fluctuations) among non-NCD-only (14.4% to 11.6%) and NCD-and-non-NCD households (12.9% to 12.2%). Additionally, OOP-induced impoverishment increased among NCD-only and non-NCD-only households from 1.4 to 2.0% and 1.1 to 1.5%, respectively, affecting the former more. Also, despite falling over time, NCD-affected individuals more frequently mentioned prohibiting treatment costs as the reason for forgoing care than the non-affected (37.9% vs. 13.0% in 2016). The lowest quintile households, particularly those with NCDs, consistently experienced many-fold higher CHE and impoverishment than the highest quintile. Notably, CHE and impoverishment effects were more pronounced among NCD-affected families if NCD-afflicted household members were female rather than male, older people, or children instead of working-age adults. CONCLUSIONS: The lack of FRP is more pronounced among households with NCDs than those without NCDs. Concerted efforts are required to ensure FRP for all families, particularly those with NCDs.

Financial risk protection from out-of-pocket health spending in low- and middle-income countries: a scoping review of the literature.

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.

Financial risk protection in health care in Bangladesh in the era of Universal Health Coverage.

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.

Recycling of silicon-rich agro-wastes by their combined application with phosphate solubilizing microbe to solubilize the native soil phosphorus in a sub-tropical Alfisol.

It is imperative to find suitable strategies to utilize the native soil phosphorus (P), as natural rock phosphate deposits are at a verge of depletion. We explored two such cost-effective and eco-friendly strategies for native soil P solubilization: silicon (Si)-rich agro-wastes (as Si source) and phosphate solubilizing microorganism (PSM). An incubation study was conducted in a sub-tropical Alfisol for 90 days at 25 °C under field capacity moisture. A factorial completely randomized design with 3 factors, namely: Si sources (three levels: sugarcane bagasse ash, rice husk ash, and corn cob ash), PSM (two levels: without PSM, and with PSM); and Si doses [three levels: no Si (Si0), 125 (Si125) and 250 (Si250) mg Si kg-1 soil] was followed. The PSM increased solution P and soluble Si level by ∼22.2 and 1.88%, respectively, over no PSM; whereas, Si125 and Si250 increased solution P by ∼60.4 and 77.1%, as well as soluble Si by ∼41.5 and 55.5%, respectively, over Si0. Also, interaction of PSM × Si doses was found significant (P<0.05). Activities of soil enzymes (dehydrogenase, acid phosphatase) and microbial biomass P also increased significantly both with PSM and Si application. Overall, PSM solubilized ∼4.18 mg kg-1 of inorganic P and mineralized ∼5.92 mg kg-1 of organic P; whereas, Si125 and Si250 solubilized ∼3.85 and 5.72 mg kg-1 of inorganic P, and mineralized ∼4.15 and 5.37 mg kg-1 of organic P, respectively. Path analysis revealed that inorganic P majorly contributed to total P solubilization; whereas, soluble and loosely bound, iron bound and aluminium bound P significantly influenced the inorganic P solubilization. Thus, utilization of such wastes as Si sources will not only complement the costly P fertilizers, but also address the waste disposal issue in a sustainable manner.

An engineered microfluidic blood-brain barrier model to evaluate the anti-metastatic activity of ß-boswellic acid.

BACKGROUND: The development of anti-cancer drugs with the ability to inhibit brain metastasis through the blood-brain barrier (BBB) is substantially limited due to the lack of reliable in vitro models. MAIN METHODS: In this study, the Geltrex-based Transwell and microfluidic BBB models were applied to screen the effect of ß-boswellic acid (ß-BA) on the metastasis of MDA-MB-231 cells through the BBB in static and dynamic conditions, respectively. MAJOR RESULTS: The toxicity assay revealed that ß-BA deteriorates MDA-MB-231 cells, while ß-BA had no detectable toxic effects on human umbilical vein endothelial cells (HUVECs) and astrocytes. Trans-endothelial electrical resistance evaluation showed sustainable barrier integrity upon treatment with ß-BA. Vimentin expression in HUVECs, evaluated using western blot, confirmed superior barrier integrity in the presence of ß-BA. The obtained results were confirmed using an invasion study with a cell tracker and a scanning electron microscope. ß-BA significantly inhibited metastasis by 85%, while cisplatin (Cis), a positive control, inhibited cancer cell migration by 12% under static conditions. Upon applying a dynamic BBB model, it was revealed that ß-BA-mediated metastasis inhibition was significantly higher than that mediated by Cis. CONCLUSIONS AND IMPLICATIONS:  In summary, the current study proved the anti-metastatic potential of ß-BA in both static and dynamic BBB models.