Socio-economic inequalities in hypertension burden and cascade of services: nationwide cross-sectional study in Nepal

Why is there a gap in self-rated health among people with hypertension in Zambia? A decomposition of determinants and rural‒urban differences

BACKGROUND

Hypertension affects over one billion people globally and is one of the leading causes of premature death. Low- and middle-income countries, especially the sub-Saharan Africa region, bear a disproportionately higher share of hypertension globally. Recent evidence shows a steady shift in the burden of hypertension from more affluent and urban populations towards poorer and rural communities. Our study examined inequalities in self-rated health (SRH) among people with hypertension and whether there is a rural‒urban gap in the health of these patients. We then quantified factors driving the health gap. We also examined how much HIV accounts for differences in self-rated health among hypertension patients due to the relationship between HIV, hypertension and health in sub-Saharan Africa.

METHODS

We utilized the Zambia Household Health Expenditure and Utilization Survey for data on SRH and other demographic and socioeconomic controls. District HIV prevalence information was from the Zambia Population-Based HIV Impact Assessment (ZAMPHIA) survey. We applied the Linear Probability Model to assess the association between self-rated health and independent variables as a preliminary step. We then used the Blinder-Oaxaca decomposition to identify self-rated health inequality between urban and rural patients and determine determinants of the health gap between the two groups.

RESULTS

Advanced age, lower education and low district HIV prevalence were significantly associated with poor health rating among hypertension patients. The decomposition analysis indicated that 45.5% of urban patients and 36.9% of rural patients reported good self-rated health, representing a statistically significant health gap of 8.6%. Most of the identified health gap can be attributed to endowment effects, with education (73.6%), district HIV prevalence (30.8%) and household expenditure (4.8%) being the most important determinants that explain the health gap.

CONCLUSIONS

Urban hypertension patients have better SRH than rural patients in Zambia. Education, district HIV prevalence and household expenditure were the most important determinants of the health gap between rural and urban hypertension patients. Policies aimed at promoting educational interventions, improving access to financial resources and strengthening hypertension health services, especially in rural areas, can significantly improve the health of rural patients, and potentially reduce health inequalities between the two regions.

Social determinants of health and cardiometabolic risk factors in Nepal: A scoping review

AIMS

Cardiometabolic risk factors are modifiable contributors to cardiometabolic disease and adverse outcomes. Cardiometabolic risk factors are emerging health concerns among adults in low and middle-income countries. The role of social determinants of health on cardiometa gaps.

DATA SYNTHESIS

A comprehensive search was conducted in multiple databases: PubMed (MEDLINE), Web of Science (Clarivate), and CINAHL (EBSCO). Joanna Briggs Institute's (JBI) Scoping Review methodology and PRISMA extension for scoping reviews-SCRA guided this review. Forty-four cross-sectional studies published between 2010 and 2022 were eligible for this review. Men were more likely to have hypertension, while women were more likely to have obesity and abdominal obesity. Participants from marginalized caste/ethnicity, urban regions, and those with lower education, and greater wealth index had a greater likelihood of hypertension, dyslipidemia, and hyperglycemia; however, differences across these sociodemographic subgroups are narrowing. Smoking, harmful alcohol use, high salt intake, low fruit and vegetable intake, and sedentary lifestyles were associated with one or more cardiometabolic risk factors. Finally, one cardiometabolic risk factor increased the risk of others.

CONCLUSIONS

Findings reflect that Nepal is at the intersection of rapid urbanization, nutritional transition, and socioeconomic shift. Future studies should take a multilevel approach to investigate the role of social determinants in increasing the cardiometabolic risk burden in Nepal.

Association of socio-demographic characteristics with hypertension awareness, treatment, and control in Bangladesh

Hypertension has been rapidly growing in Bangladesh. However, there has been limited analysis of differences in the hypertension cascade across socio-demographic groups. This study was a secondary analysis of the 2017-18 Bangladesh Demographic and Health Survey. Four dichotomous outcome variables - hypertension prevalence, awareness among those with hypertension, treatment among those aware, and control among those treated - were analyzed. The variation of each outcome was assessed across socio-demographic factors. The association between socio-demographic characteristics and outcomes was analyzed using logistic regression. Less than half of the hypertensive individuals were aware of their hypertension (42.5%), and awareness was higher among those who were older, female, of higher household wealth, and living in urban areas. Among those aware, most were receiving treatment (87.4%), and this proportion was higher in older individuals (89.2% among 65 + , 70.4% among 18-24; p < 0.001). One-third of those treated (33.8%) had their blood pressure controlled, and this was higher among younger and more educated individuals. In multivariable models stratified by rural/urban community, most of the aforementioned trends remained with additional differences between communities. Notably, the association of higher education level with treatment odds differed in rural and urban communities (OR 0.34 [95%CI 0.16, 0.75] in rural; OR 2.83 [95%CI 1.04, 7.73] in urban). Efforts to improve hypertension awareness among individuals who are younger, male, of lower household wealth, and in rural areas are required to address disparities in care. Socio-demographic variations in hypertension awareness, treatment, and control must be considered to design targeted interventions for each step of the cascade.

Why is there a gap in self-rated health among people with hypertension? A decomposition of determinants and rural-urban differences

Background

Hypertension affects over one billion people globally and is one of the leading causes of premature death. The low- and middle-income countries, especially the sub-Saharan Africa region, bear a disproportionately higher share of hypertension globally. Recent evidence shows a steady shift in the burden of hypertension from the more affluent and urban population towards the poorer and rural communities. Our study examined inequalities in self-rated health among people with hypertension and whether there is a rural-urban gap in the health of these patients. We then quantified factors driving the health gap. We also examined how much HIV accounts for differences in self-rated health among hypertension patients due to the relationship between HIV, hypertension and health in sub-Saharan Africa.

Methods

We utilized the Zambia Household Health Expenditure and Utilization Survey for the data on SRH and other demographic and socioeconomic controls. District HIV prevalence information was from a previous study. The linear probability model provided a preliminary assessment of the association between self-rated health and independent variables. We then used the Blinder-Oaxaca decomposition to identify self-rated health inequality between urban and rural patients and determine determinants of the health gap between the two groups.

Results

Advanced age, lower education and low district HIV prevalence were significantly associated with poor health rating among hypertension patients. The decomposition analysis indicated that 45.5% of urban patients and 36.9% of rural patients reported good self-rated health, representing a statistically significant health gap of 8.6%. Most of the identified health gap can be attributed to endowment effects, with education (62%), district HIV prevalence (26%) and household expenditure (12%) being the most important determinants that explain the health gap.

Conclusions

Urban hypertension patients have better SRH than rural patients in Zambia. Educational interventions, financial protection schemes and strengthening hypertension health services in rural areas can significantly reduce the health gap between the two regions.

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].

Hypertension screening, awareness, treatment, and control: a study of their prevalence and associated factors in a nationally representative sample from Nepal

Background

The growing burden of hypertension is emerging as one of the major healthcare challenges in low- and middle-income countries (LMICs), such as Nepal. Given that they are struggling to deliver adequate health services, some LMICs have significant gaps in the cascade of hypertension care (including screening, awareness, treatment, and control). This results in uncontrolled hypertension, placing a high burden on both patients and healthcare providers.

Objective

The objective of this study was to quantify the gaps in hypertension screening, awareness, treatment, and control in the Nepalese population.

Methods

We used the data from a pooled sample of 9682 participants collected through two consecutive STEPwise approach to Surveillance (STEPS) surveys conducted in Nepal in 2013 and 2019. A multistage cluster sampling method was applied in the surveys, to select nationally representative samples of 15- to 69-year-old Nepalese individuals. Prevalence ratios were calculated using multivariable Poisson regression.

Results

Among the hypertensive participants, the prevalence of hypertension screening was 65.9% (95% CI: 62.2, 69.5), the prevalence of hypertension awareness was 20% (95% CI: 18.1, 22.1), the prevalence of hypertension treatment was 10.3% (95% CI: 8.8, 12.0), and the prevalence of hypertension control was 3.8% (95% CI: 2.9, 4.9). The unmet need of hypertension treatment and control was highest amongst the poorest individuals, the participants from Lumbini and Sudurpaschim provinces, those who received treatment in public hospitals, the uninsured, and those under the age of 30 years.

Conclusions

The gaps in the cascade of hypertension care in Nepal are large. These gaps are particularly pronounced among the poor, persons living in Lumbini and Sudurpaschim provinces, those who sought treatment in public hospitals, those who did not have health insurance, and young people. National- and local-level public health interventions are needed to improve hypertension screening, awareness, treatment, and control in Nepal.

Determinants affecting utilisation of health services and treatment for children under-5 in rural Nepali health centres: a cross-sectional study

Background

Large inequalities in child health remain in Nepal, with caste, ethnicity and sex being major determinants of deprivation and negative outcomes. The purpose of this study was to explore whether key demographics of under 5s were associated with health seeking behaviours, utilisation of health care, and treatment received.

Methods

Data came from Integrated Management of Neonatal & Childhood Illness (IMNCI) records of 23 health centres across five districts. After digitising the paper records, the data was analysed by district, caste/ethnicity, sex, and age to investigate differences in the time taken to present at a health facility after the onset of symptoms of ARI, diarrhoea and fever; accuracy of diagnosis for pneumonia; and whether the correct treatment was prescribed for pneumonia as per IMNCI guidelines.

Results

From 116 register books spanning 23 health centres, 30,730 child patient records were considered for analysis. The median age of attendance was 18 months (Inter-Quartile Range = 10, 32), while were more male children that attended (55.7% vs. 44.3% for females). There were statistically significant differences for the time taken to attend a health centre between different districts for ARI, diarrhoea and fever, with children in the remote Humla and Mugu districts taking significantly longer to present at a health facility after the onset of symptoms (all p < 0.001, except Mugu for ARI days). Children from underprivileged ethnic groups, Madhesi and Dalit, were less likely to be given a correct diagnosis of pneumonia (p = 0.014), while males were more likely to receive a correct diagnosis than females (73% vs. 67%, p = 0.001). This sex difference remained in the adjusted regression models for diagnosis of pneumonia (p < 0.001) but not for treatment of pneumonia (p = 0.628). All districts, in comparison to Gorkha, had increased odds of correct diagnosis and treatment of pneumonia, but only significant in children from Mugu after adjustment (p ≤ 0.001).

Conclusion

Significant demographic differences were found based on ethnicity, sex, and district when examining health seeking behaviours for ARI, diarrhoea, and fever. Significant associations were seen for these same factors when exploring accuracy of diagnoses of pneumonia, but not for treatment. This study has emphasised the importance of a digitalised healthcare system, where inequalities can be identified without the reliance on anecdotal evidence.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14318-y.

District-Level Inequalities in Hypertension among Adults in Indonesia: A Cross-Sectional Analysis by Sex and Age Group

BACKGROUND

An estimated 1.28 billion adults 30-79 years old had hypertension globally in 2021, of which two-thirds lived in low- and middle-income countries (LMICs). Previous studies on geographic and socioeconomic inequalities in hypertension among adults have limitations: (a) most studies used individual-level data, while evidence from locality-level data is also crucial for policymaking; (b) studies from LMICs are limited. Thus, our study examines geographic and socioeconomic inequalities in hypertension among adults across districts in Indonesia.

METHODS

We combined geospatial and quantitative analyses to assess the inequalities in hypertension across 514 districts in Indonesia. Hypertension data were obtained from the Indonesian Basic Health Survey (Riskesdas) 2018. Socioeconomic data were obtained from the World Bank. Six dependent variables included hypertension prevalence among all adults (18+ years), male adults, female adults, young adults (18-24 years), adults (25-59 years), and older adults (60+ years).

RESULTS

We also found significant geographic and socioeconomic inequalities in hypertension among adults across 514 districts. All hypertension indicators were higher in the most developed region than in the least developed region. Districts in the Java region had up to 50% higher prevalence of hypertension among all adults, males, females, young adults, adults, and older adults. Notably, districts in the Kalimantan region had the highest prevalence of hypertension, even compared to those in Java. Moreover, income level was positively associated with hypertension; the wealthiest districts had higher hypertension than the poorest districts by up to 30%, but only among males and older adults were statistically significant.

CONCLUSIONS

There were significant inequalities in hypertension among adults across 514 districts in the country. Policies to reduce such inequalities may need to prioritize more affluent urban areas and rural areas with a higher burden.

Need for HTA supported risk factor screening for hypertension and diabetes in Nepal: A systematic scoping review

Objective

Health Technology Assessment (HTA) is a comprehensive and important tool for assessment and decision-making in public health and healthcare practice. It is recommended by the WHO and has been applied in practice in many countries, mostly the developed ones. HTA might be an important tool to achieve universal health coverage (UHC), especially beneficial to low-and-middle-income countries (LMIC). Even though the Package for Essential Non-communicable Diseases (PEN) has already been initiated, there is a clear policy gap in the HTA of any health device, service, or procedure, including the assessment of cardiovascular risk factors (CVRFs) in Nepal. Hence, we carried out the review to document the HTA supported evidence of hypertension and diabetes screening, as CVRFs in Nepal.

Materials and methods

We searched in PubMed, Cochrane, and Google Scholar, along with some gray literature published in the last 6 years (2016–2021) in a systematic way with a controlled vocabulary using a well-designed and pilot tested search strategy, screened them, and a total of 53 articles and reports that matched the screening criteria were included for the review. We then, extracted the data in a pre-designed MS-Excel format, first in one, and then, from it, in two, with more specific data.

Results

Of 53 included studies, we reported the prevalence and/or proportion of hypertension and diabetes with various denominators. Furthermore, HTA-related findings such as cost, validity, alternative tool or technology, awareness, and intervention effectiveness have been documented and discussed further, however, not summarized due to their sparingness.

Conclusion

Overall, the prevalence of DM (4.4–18.8%) and HTN (17.2–70.0%) was reported in most studies, with a few, covering other aspects of HTA of DM/HTN. A national policy for establishing an HTA agency and some immediately implementable actions are highly recommended.

An analytical model of population level uncontrolled hypertension management: a care cascade approach

Effective control of hypertension at the population level is a global public health challenge. This study shows how improving population coverages at different hypertension care cascade levels could impact population-level hypertension management. We developed an analytical framework and a companion Excel model of multi-level hypertension care cascade entailing awareness, treatment, and control. The model estimates the prevalence of uncontrolled hypertension for different level of population coverages at certain cascade levels. We applied the model to data from Bangladesh and reported prevalence estimates associated with coverage interventions at different cascade levels. The model estimated that if 50% of the unaware hypertensive patients became aware of their hypertensive condition, the prevalence of uncontrolled hypertension would decrease by 1.8 and 1.3 percentage points (8.2% and 5.8% relative reduction), respectively, for constant and variable rates in the status quo setting. When 50% of the aware, but untreated individuals received treatment, the prevalence would decrease by around 0.7 percentage points (3.3% relative reduction). A 50% decrease in the share of treated individuals who did not have hypertension under control, would result in decreasing the prevalence by 2.8 percentage points (12.7% relative reduction). By providing an analytical tool that demonstrates the probable impact of population coverage interventions at certain hypertension care cascade levels, our study endows public health practitioners with vital information to identify gaps and design effective policies for hypertension management.

Socioeconomic inequalities in prevalence, awareness, treatment and control of hypertension: evidence from the PERSIAN cohort study

Background

Elevated blood pressure is associated with cardiovascular disease, stroke and chronic kidney disease. In this study, we examined the socioeconomic inequality and its related factors in prevalence, Awareness, Treatment and Control (ATC) of hypertension (HTN) in Iran.

Method

The study used data from the recruitment phase of The Prospective Epidemiological Research Studies in IrAN (PERSIAN). A sample of 162,842 adults aged >  = 35 years was analyzed. HTN was defined according to the Joint National Committee)JNC-7(. socioeconomic inequality was measured using concentration index (Cn) and curve.

Results

The mean age of participants was 49.38(SD =  ± 9.14) years and 44.74% of the them were men. The prevalence of HTN in the total population was 22.3%(95% CI: 20.6%; 24.1%), and 18.8%(95% CI: 16.8%; 20.9%) and 25.2%(95% CI: 24.2%; 27.7%) in men and women, respectively. The percentage of awareness treatment and control among individuals with HTN were 77.5%(95% CI: 73.3%; 81.8%), 82.2%(95% CI: 70.2%; 81.6%) and 75.9%(95% CI: 70.2%; 81.6%), respectively. The Cn for prevalence of HTN was -0.084. Two factors, age (58.46%) and wealth (32.40%), contributed most to the socioeconomic inequality in the prevalence of HTN.

Conclusion

The prevalence of HTN was higher among low-SES individuals, who also showed higher levels of awareness. However, treatment and control of HTN were more concentrated among those who had higher levels of SES, indicating that people at a higher risk of adverse event related to HTN (the low SES individuals) are not benefiting from the advantage of treatment and control of HTN. Such a gap between diagnosis (prevalence) and control (treatment and control) of HTN needs to be addressed by public health policymakers.

Prevalence and determinants of hypertension in underrepresented indigenous populations of Nepal

Indigenous populations residing in low- and middle-income countries (LMICs) are highly underrepresented in medicine and public health research. Specifically, data on non-communicable diseases (NCDs) from indigenous populations remains scarce. Despite the increasing burden of NCDs in the Himalayan region, their prevalence in many indigenous populations remains understudied. The nationally representative public health surveys often do not include the indigenous communities, especially those that reside in rural areas or exist in small numbers. This observational cross-sectional survey study aimed to assess the prevalence of three NCD risk factors namely obesity, hypertension, and tachycardia and identify dietary and lifestyle variables associated with them across underrepresented indigenous populations of Nepal. A total of 311 individuals (53.3% women, 46.7% men) with mean age 43±15 years from 12 indigenous Nepali communities residing in rural (47.9%) or semi-urban (52.1%) areas volunteered to participate in this study. Univariate tests and multivariable logistic regressions were used to analyze the survey data. The mean systolic and diastolic blood pressures were 121.3±19.5 mmHg and 81.3±11.8 mmHg respectively. Overall, the prevalence of obesity and tachycardia was low (0.64% and 3.22%, respectively) but hypertension was prevalent at 23.8%. Hypertension was not significantly different across populations, but it was associated with age, BMI, and tobacco use, and collectively, these variables explained 13.9% variation in hypertension prevalence. Although we were unable to detect direct associations between individual determinants of hypertension identified in non-indigenous Nepalis, such as education levels, alcohol consumption, and smoking in this study, having one or more determinants increased the odds of hypertension in the indigenous participants. Furthermore, ~14% of the hypertensive individuals had none of the universally identified hypertension risk factors. The lack of association between previously identified risk factors for hypertension in these individuals indicates that the additional determinants of hypertension remain to be identified in indigenous Nepali populations.

Equity of geographical access to public health facilities in Nepal

Introduction

Geographical accessibility is important against health equity, particularly for less developed countries as Nepal. It is important to identify the disparities in geographical accessibility to the three levels of public health facilities across Nepal, which has not been available.

Methods

Based on the up-to-date dataset of Nepal formal public health facilities in 2021, we measured the geographical accessibility by calculating the travel time to the nearest public health facility of three levels (ie, primary, secondary and tertiary) across Nepal at 1×1 km² resolution under two travel modes: walking and motorised. Gini and Theil L index were used to assess the inequality. Potential locations of new facilities were identified for best improvement of geographical efficiency or equality.

Results

Both geographical accessibility and its equality were better under the motorised mode compared with the walking mode. If motorised transportation is available to everyone, the population coverage within 5 min to any public health facilities would be improved by 62.13%. The population-weighted average travel time was 17.91 min, 39.88 min and 69.23 min and the Gini coefficients 0.03, 0.18 and 0.42 to the nearest primary, secondary and tertiary facilities, respectively, under motorised mode. For primary facilities, low accessibility was found in the northern mountain belt; for secondary facilities, the accessibility decreased with increased distance from the district centres; and for tertiary facilities, low accessibility was found in most areas except the developed areas like zonal centres. The potential locations of new facilities differed for the three levels of facilities. Besides, the majority of inequalities of geographical accessibility were from within-province.

Conclusion

The high-resolution geographical accessibility maps and the assessment of inequality provide valuable information for health resource allocation and health-related planning in Nepal.

Barriers, Enablers and Strategies for the Treatment and Control of Hypertension in Nepal: A Systematic Review

Background: Understanding country-specific factors influencing hypertension care is critical to address the gaps in the management of hypertension. However, no systematic investigation of factors influencing hypertension treatment and control in Nepal is available. This study aimed to systematically review the published literature and synthesise the findings on barriers, enablers, and strategies for hypertension treatment and control in Nepal.

Methods: Embase, PubMed, Web of Science, CINAHL, ProQuest and WorldCat, and Nepali journals and government websites were searched for qualitative, quantitative, and mixed-methods studies on factors or strategies related to hypertension treatment and control in Nepal. Information from qualitative studies was analysed using template analysis, while results from quantitative studies were narratively synthesised. Summary findings were framed under “health system”, “provider”, and “patient” domains. The protocol was registered in PROSPERO (registration number: CRD42020145823).

Results: We identified 15 studies; ten related to barriers and enablers and five to strategies. The identified barriers associated with the health system were: lack of affordable services and lack of resources. The barriers at the provider's level were: communication gaps, inadequate counselling, long waiting hours for appointments, lack of national guidelines for hypertension treatment, and provider's unsupportive behaviours. Non-adherence to medication, irregular follow-up visits, lack of awareness on blood pressure target, poor help-seeking behaviours, reluctance to change behaviours, perceived side-effects of anti-hypertensive medication, self-medication, lack of family support, financial hardship, lack of awareness on blood pressure complications, and comorbidity were barriers identified at patient level. The following enablers were identified: free essential health care services, family support, positive illness perception, and drug reminders. Strategies implemented at the health system, provider and patient levels were: establishing digital health records at health centres, health worker's capacity development, and health education.

Conclusion: There is a range of barriers for hypertension treatment and control in Nepal pertaining to the health system, health providers, and patients. Comprehensive interventions are needed at all three levels to further improve management and control of hypertension in Nepal.

Socioeconomic Status and Its Relation to Hypertension in Rural Nepal

INTRODUCTION

Hypertension and its association with socioeconomic positions are well established. However, the gradient of these relationships and the mediating role of lifestyle factors among rural population in low- and middle-income countries such as Nepal are not fully understood. We sought to assess the association between socioeconomic factors (education, income, and employment status) and hypertension. Also, we assessed whether the effect of education and income level on hypertension was mediated by lifestyle factors.

METHODS

This cross-sectional study was conducted among 260 participants aged ≥18 years attending a rural health center in Dolakha, Nepal. Self-reported data on demographic, socioeconomic, and lifestyle factors were collected, and blood pressure, weight, and height were measured for all study participants. Those with systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg or administrating high blood pressure-lowering medicines were regarded as hypertensives. Poisson regression models were used to estimate the prevalence ratios and corresponding 95% confidence intervals to assess the association between socioeconomic factors and hypertension. We explored mediation, using the medeff command in Stata for causal mediation analysis of nonlinear models.

RESULTS

Of the 50 hypertensive participants, sixty percent were aware of their status. The age-standardized prevalence of hypertension was two times higher for those with higher education or high-income category. Compared to low-income and unemployed groups, the prevalence ratio of hypertension was 1.33 and 2.26 times more for those belonging to the high-income and employed groups, respectively. No evidence of mediation by lifestyle factors was observed between socioeconomic status and hypertension.

CONCLUSIONS

Socioeconomic positions were positively associated with hypertension prevalence in rural Nepal. Further studies using longitudinal settings are necessary to validate our findings especially in low- and middle-income countries such as Nepal.

Health Care Utilization by Older Adults in Nepal: An Investigation of Correlates and Equity in Utilization

This study aims to evaluate factors associated with health care utilization (HCU) and to assess vertical and horizontal equity in utilization among Nepali older adults. Data are from an existing cross-sectional study involving systematic random sampling of 260 older adults in Far-Western (Sudurpaschim) Province of Nepal. Andersen's theoretical framework was used to assess predisposing, enabling, and need factors that have the potential to influence health care utilization. Multivariable logistic regression analyses were conducted to examine potential correlates of HCU. Horizontal and vertical equity were assessed using concentration curve and index. More than one-third of participants had not visited a health facility in the prior 12 months. Nine in 10 participants did not know about the government's free health service for older adults. Joint/extended family type, Ayurvedic/Homeopathic health care preference, higher-income tertile, and presence of chronic conditions were associated with higher odds of health care utilization in adjusted analyses. The concentration curve for HCU lies below the line of equity, and the subsequent index is positive, indicating that HCU was concentrated among richer individuals. If the government of Nepal is to achieve its goal of universal health care, the existing pro-rich inequity in HCU needs to be addressed.

Examining the prevalence, correlates and inequalities of undiagnosed hypertension in Nepal: a population-based cross-sectional study

OBJECTIVE

To examine the prevalence, correlates and sociodemographic inequalities of undiagnosed hypertension in Nepal.

DESIGN

This study used cross-sectional 2016 Nepal Demographic and Health Survey (NDHS) data. Undiagnosed patients with hypertension were defined as an NDHS respondent who was diagnosed as hypertensive (systolic blood pressure ≥140 mmHg and/or diastolic blood pressure ≥90 mmHg) during the survey, but never took any prescribed anti-hypertensive medicine to lower/control blood pressure and was never identified as having hypertension by a health professional prior the survey. Multiple binary logistic regression analysis was performed, and Concentration Index was measured.

SETTING

Nepal.

PARTICIPANTS

Adult patients with hypertension.

RESULTS

Among 3334 patients with hypertension, 50.4% remained undiagnosed during the survey in Nepal. Adjusted model reveals that patients who were male, belonged to households other than the highest wealth quintile, and lived in province 4 and province 5 were at higher risk of remaining undiagnosed for hypertension. Patients who were ≥65 years of age and were overweight/obese were at lower risk of remaining undiagnosed for hypertension. The poor-rich gap was 24.6 percentage points (Q1=64.1% vs Q5=39.6%) and poor:rich ratio was 1.6 (Q1/Q5=1.6) in the prevalence of undiagnosed hypertension. Undiagnosed hypertension was disproportionately higher among lower socioeconomic status groups (Concentration Index, C=-0.18). Inequalities in the prevalence of undiagnosed hypertension further varied across other geographic locations, including place of residence, ecological zones and administrative provinces.

CONCLUSIONS

Undiagnosed hypertension was highly prevalent in Nepal and there were substantial inequalities by sociodemographics and subnational levels. Increasing awareness, strengthening routine screening to diagnose hypertension at primary health service facilities and enactment of social health insurance policy may help Nepal to prevent and control this burden.

Burden of Diabetes and Prediabetes in Nepal: A Systematic Review and Meta-Analysis

BACKGROUND

Unhealthy behaviors, such as energy-dense food choices and a sedentary lifestyle, both of which are established risk factors for diabetes, are common and increasing among Nepalese adults. Previous studies have reported a wide variation in the prevalence of prediabetes and diabetes in Nepal, and thus a more reliable pooled estimate is needed. Furthermore, Nepal underwent federalization in 2015, and the province-specific prevalence, which is necessary for the de novo provincial government to formulate local health policies, is lacking. This study aims to provide a comprehensive summary of the current literature on various aspects of diabetes in Nepal, i.e., the prevalence of prediabetes and diabetes as well as of the awareness, treatment, and control of diabetes in Nepal.

METHODS

This review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched three electronic databases-PubMed, Scopus, and Web of Science-using a comprehensive search strategy to identify eligible studies published up to April 2, 2020. Data on prevalence estimates of prediabetes and diabetes were extracted and pooled in a meta-analysis using a random effect model. Subgroup analyses and meta-regression were conducted to assess heterogeneity across the studies. The quality of included studies was assessed using the New Castle-Ottawa scale.

RESULTS

We included 14 eligible studies that comprised a total of 44,129 participants and 3517 diabetes cases. Half of the included studies had good quality. Overall, the prevalence of prediabetes and diabetes was 9.2% (95% CI 6.6-12.6%) and 8.5% (95% CI 6.9-10.4%), respectively. Among the participants with diabetes, only 52.7% (95% CI 41.7-63.4%) were aware of their diabetes status, and 45.3% (95% CI 31.6-59.8%) were taking antidiabetic medications. Nearly one-third of those under antidiabetic treatment (36.7%; 95% CI 21.3-53.3%) had their blood glucose under control. The prevalence of prediabetes and diabetes gradually increased with increasing age and was more prevalent among males and urban residents. There was a wide variation in diabetes prevalence across the provinces in Nepal, the lowest 2% in Province 6 to the highest 10% in Province 3 and Province 4.

CONCLUSIONS

The prevalence of prediabetes and diabetes was high in Nepal, while its awareness, treatment, and control were low. Our findings call for urgent nationwide public health action in Nepal.

May Measurement Month 2018: an analysis of blood pressure screening results from Sudan

To raise awareness of high blood pressure (BP) levels and associated risk factors among the Sudanese population. A cross-sectional study was conducted in six Sudanese states during the period May-August 2018. The study area included public indoor and outdoor areas, institutes, and service facilities. A questionnaire for collecting the data was employed including demographic data, along with three consecutive BP measurements. Data were collected by trained volunteers. Hypertension (HTN) was defined as a systolic blood pressure ≥140 mmHg or a diastolic blood pressure ≥90 mmHg based on the mean of the second and third measurements, or in those on antihypertensive medication. The current study indicated a high prevalence of HTN (28.2%) among 40 779 participants and a low level of awareness (20.7%) amongst these participants. Of all, 18.2% of hypertensive participants were on medication and of these, 54.6% were controlled. Of all hypertensives, only 9.9% were controlled. Further action needs to be taken by all stakeholders for raising awareness and increasing screening provision of HTN, which are essential for the development of national health policies for control and management of HTN in Sudan.

Application of single-level and multi-level modeling approach to examine geographic and socioeconomic variation in underweight, overweight and obesity in Nepal: findings from NDHS 2016

Nepal's dual burden of undernutrition and over nutrition warrants further exploration of the population level differences in nutritional status. The study aimed to explore, for the first time in Nepal, potential geographic and socioeconomic variation in underweight and overweight and/or obesity prevalence in the country, adjusted for cluster and sample weight. Data came from 14,937 participants, including 6,172 men and 8,765 women, 15 years or older who participated in the 2016 Nepal Demography and Health Survey (NDHS). Single-level and multilevel multi-nominal logistic regression models and Lorenz curves were used to explore the inequalities in weight status. Urban residents had higher odds of being overweight and/or obese (OR: 1.89, 95% CI: 1.62-2.20) and lower odds of being underweight (OR: 0.81, 95% CI: 0.70-0.93) than rural residents. Participants from Provinces 2, and 7 were less likely to be overweight/obese and more likely to be underweight (referent: province-1). Participants from higher wealth quintile households were associated with higher odds of being overweight and/or obese (P-trend < 0.001) and lower odds of being underweight (P-trend < 0.001). Urban females at the highest wealth quintile were more vulnerable to overweight and/or obesity as 49% of them were overweight and/or obese and nearly 39% at the lowest wealth quintile were underweight.