Hypertension care in demographic surveillance sites: a cross-sectional study in Bangladesh, India, Indonesia, Malaysia, Viet Nam

Disparities and factors affecting hypertension diagnosis from qualified doctors in Bangladesh and its impact on receiving hypertension control advice: Analysis of demographic & health survey 2017-18

The burden of hypertension is increasing in many low- and middle-income countries, including Bangladesh, and a large proportion of Bangladeshi people seek healthcare from unqualified medical practitioners, such as paramedics, village doctors, and drug store salesmen; however, there has been limited investigation regarding diagnosis and care provided by qualified doctors. This study investigated the factors associated with hypertension diagnosis by qualified doctors (i.e., registered medically trained doctors or medical doctors with at least an MBBS degree) and how this diagnosis is related to hypertension-controlling advice and treatment among Bangladeshi adults. This cross-sectional study used data from Bangladesh Demographic and Health Survey 2017-18. After describing sample characteristics, we conducted simple and multivariable logistic regression analyses to investigate the associated factors and associations. Among 1710 participants (68.3% females, mean age: 50.1 (standard error: 0.43) years) with self-reported hypertension diagnosis, about 54.9% (95% confidence interval (CI): 51.8-58.0) had a diagnosis by qualified doctors. The following variables had significant associations with hypertension diagnoses from qualified doctors: 40-54- or 55-year-olds/above (ref: 18-29-year-olds), overweight/obesity (ref: not overweight/obese), college/above education (ref: no formal education), richest wealth quintile (ref: poorest), urban residence (ref: rural), and residence in Chittagong, Barisal, and Sylhet divisions (ref: Dhaka division). Lastly, compared to people who had not been diagnosed by qualified doctors, those with the diagnosis from qualified doctors had higher odds of receiving any hypertension-controlling advice and treatment, including drugs (1.73 (95% CI: 1.27-2.36), salt intake reduction (AOR: 2.36, 95% CI: 1.80-3.10), weight reduction (AOR: 2.58, 95% CI: 1.97-3.37), smoking cessation (AOR: 2.22, 95% CI: 1.66-2.96),), and exercise promotion (AOR: 2.34, 95% CI: 1.77-3.09). This study showed significant socioeconomic and rural-urban disparities regarding hypertension diagnosis from qualified doctors. Diagnosis by qualified doctors was also positively associated with receiving hypertension-controlling advice and treatment. Reducing these inequalities would be crucial to reducing the country's hypertension burden.

Cost-effectiveness analysis of low-sodium potassium-rich salt substitutes in Indonesia: an equity modelling study

Background

Evidence suggests low-sodium potassium-rich salt substitutes (LSSS) are effective in reducing blood pressure (BP). However, the health and economic impacts of LSSS in Indonesia are currently unknown.

Methods

We developed a proportional multistate lifetable Markov model to assess a government-led strategy implementing the use of LSSS compared to current regular salt consumption. BP data were derived from the Indonesian Basic Health Research Survey (RISKESDAS 2018), while epidemiological data were from the Global Burden of Disease 2019 study. We estimated implementation costs and the impact of changes in BP on disease events and healthcare costs, and incremental cost-effectiveness ratios. Outcomes were simulated over different time horizons for the 2019 Indonesian population overall, and by income quintiles. Probabilistic sensitivity analysis was done to capture uncertainty.

Findings

Over the first 10 years, LSSS could prevent 1.5 million non-fatal cardiovascular disease (CVD) events (8.3%-19.4% reduction) and 643,000 incident chronic kidney disease (CKD) cases (8.2% reduction), while averting over 200,000 CVD and CKD deaths (0.2%-5.2% reduction). This translated to over 24.6 million health-adjusted life years (HALYs) gained over the lifetime of the population, and reduced CVD-related health inequalities (concentration index, -0.075, 95% CI: -0.088 to -0.062). Implementation cost (US$ 1.2 billion [IDR 17.2 trillion] total; US$ 4.5 [IDR 63,665] per capita, as of July 2019) was outweighed by the net health expenditure savings (∼US$ 2 billion [IDR 27.7 trillion] total; US$ 7.3 [IDR 103,300] per capita) in the first 10 years. LSSS were cost-saving over the lifetime, and very cost-effective even with a high LSSS price.

Interpretation

Scaling the use of LSSS nationally could be a cost-saving strategy to prevent substantial cardiovascular and kidney disease burden in Indonesia.

Funding

Griffith University Postdoctoral Fellowship.

Care Cascades for Hypertension in Low-Income Settings: A Systematic Review and Meta-Analysis

Objective: High blood pressure is the leading risk factor for cardiovascular disease. The hypertension care cascade (HCC) is increasingly being used to evaluate the effectiveness of interventions. This systematic review aims to examine HCC in low-income settings. Methods: The search strategy included articles published between January 2010 and April 2023. We excluded studies with incomplete HCC, on fragile patients or aged <18 years, reviews. We used the MOOSE guideline. Five researchers retrieved data on the survey year, country, population, HCC and diagnostic methods for hypertension. We used JBI Critical Appraisal Tools for quality assessment. Results: Ninety-five articles were analyzed. Average hypertension prevalence was 33% (95% CI: 31%-34%), lower in LICs than in LMICs (25% vs. 34%). The overall mean awareness of hypertension was 48% (95% CI: 45%-51%), its treatment was 35% (95% IC: 32%-38%) and its control 16% (95% CI: 14%-18%). In almost all steps, percentages were lower in LICs and in Sub-Saharan Africa. Conclusion: Trends in HCC vary between countries, with poorer performance in LICs. This review highlights the need for interventions tailored to low-income settings in order to improve hypertension care.

Trends in hypertension prevalence, awareness, treatment, and control: an 8-year follow-up study from rural North India

Hypertension is a major contributor to global CVD burden. LMICs including India is challenged with rising hypertension prevalence, yet limited studies are available on temporal change and incidence among community-cohorts. This study aimed to describe trends in hypertension prevalence, awareness, treatment, and control over 8 years among a rural community-cohort from Haryana, India. The study also lends towards an analysis of incidence. Adults ≥ 30 years (N = 1542) recruited during baseline cross-sectional study between 2011 and 2014 were followed up after a median 8.1 years. At endline, demographic/lifestyle characteristics and blood pressure were re-examined. Overall median SBP significantly increased from 120 mmHg at baseline to 125.5 mmHg at endline (p < 0.001), while hypertension prevalence increased from 34.4% (95% CI 32.0-36.9) to 40.4% (95% CI 37.5-43.4) (p = 0.002). Age-standardized hypertension incidence was 30.2% (95% CI 26.7-35.2) over 8 years. Among hypertensive group, awareness, treatment, and control increased from 9.6, 8.8 and 5.0% to 31.8, 27.3 and 9.6% (p < 0.05), respectively. Increasing trend in SBP and hypertension prevalence was observed as the cohort ages. This increase is supported by the high incidence of hypertension. Nevertheless, our study highlights positive trends in hypertension care cascade but poor control, suggesting that this trend may not be adequately impactful to reduce hypertension burden.

Demographic characteristics and risk factors related to high blood pressure among healthy blood donors from Luanda, Angola: A retrospective study

Background and Aims

Hypertension is a public health concern, mainly in resource-limited countries. We investigated the characteristics and risk factors related to high blood pressure in healthy blood donors from, Luanda, the capital city of Angola.

Methods

This was a retrospective study that included 343 healthy donors from December 2019 to September 2020.

Results

The mean age was 32 ± 9 years. Men represented 93% of the population. Mean systolic blood pressure (SBP) was 131 ± 12.3 mmHg (ranging from 100 to 160 mmHg) and diastolic blood pressure (DBP) was 80.1 ± 9.72 mmHg (from 56.0 to 100 mmHg). DBP was related to age and gender (p < 0.05). About 7.3% of the donors had high-pressure (>140/90 mmHg). Age between 20 and 40 years (odds ratio [OR]: 2.52, p = 0.043), women (OR: 1.87, p = 0.548), nonurbanized areas (OR: 0.39, p = 0.067), high educational level (OR: 0.76, p = 0.637), employed (OR: 0.49, p = 0.491), voluntary donors (OR: 0.87, p = 0.799), blood group B (OR: 2.06, p = 0.346), and Rh- (OR: 0.26, p = 0.104), were potentially related with high-pressure. The high-pressure cases increased from December 2019 (4%) to September 2020 (28%) (p = 0.019).

Conclusion

We showed high pressure among the healthy blood donors population. Demographic characteristics, ABO/Rh blood group, and year period are features that should be considered in cardiovascular disease control strategies. Biological and nonbiological features related to blood pressure changes should be considered for further studies in the Angolan population.

Widening the lens of population-based health research to climate change impacts and adaptation: the climate change and health evaluation and response system (CHEERS)

Background

Climate change significantly impacts health in low-and middle-income countries (LMICs), exacerbating vulnerabilities. Comprehensive data for evidence-based research and decision-making is crucial but scarce. Health and Demographic Surveillance Sites (HDSSs) in Africa and Asia provide a robust infrastructure with longitudinal population cohort data, yet they lack climate-health specific data. Acquiring this information is essential for understanding the burden of climate-sensitive diseases on populations and guiding targeted policies and interventions in LMICs to enhance mitigation and adaptation capacities.

Objective

The objective of this research is to develop and implement the Change and Health Evaluation and Response System (CHEERS) as a methodological framework, designed to facilitate the generation and ongoing monitoring of climate change and health-related data within existing Health and Demographic Surveillance Sites (HDSSs) and comparable research infrastructures.

Methods

CHEERS uses a multi-tiered approach to assess health and environmental exposures at the individual, household, and community levels, utilizing digital tools such as wearable devices, indoor temperature and humidity measurements, remotely sensed satellite data, and 3D-printed weather stations. The CHEERS framework utilizes a graph database to efficiently manage and analyze diverse data types, leveraging graph algorithms to understand the complex interplay between health and environmental exposures.

Results

The Nouna CHEERS site, established in 2022, has yielded significant preliminary findings. By using remotely-sensed data, the site has been able to predict crop yield at a household level in Nouna and explore the relationships between yield, socioeconomic factors, and health outcomes. The feasibility and acceptability of wearable technology have been confirmed in rural Burkina Faso for obtaining individual-level data, despite the presence of technical challenges. The use of wearables to study the impact of extreme weather on health has shown significant effects of heat exposure on sleep and daily activity, highlighting the urgent need for interventions to mitigate adverse health consequences.

Conclusion

Implementing the CHEERS in research infrastructures can advance climate change and health research, as large and longitudinal datasets have been scarce for LMICs. This data can inform health priorities, guide resource allocation to address climate change and health exposures, and protect vulnerable communities in LMICs from these exposures.