Societal economic burden of hypertension at selected hospitals in southern Ethiopia: a patient-level analysis

Supplemental Nutrition Assistance Program and Adherence to Antihypertensive Medications

Importance

Nonadherence to antihypertensive medications is associated with uncontrolled blood pressure, higher mortality rates, and increased health care costs, and food insecurity is one of the modifiable medication nonadherence risk factors. The Supplemental Nutrition Assistance Program (SNAP), a social intervention program for addressing food insecurity, may help improve adherence to antihypertensive medications.

Objective

To evaluate whether receipt of SNAP benefits can modify the consequences of food insecurity on nonadherence to antihypertensive medications.

Design, Setting, and Participants

A retrospective cohort study design was used to assemble a cohort of antihypertensive medication users from the linked Medical Expenditure Panel Survey (MEPS)-National Health Interview Survey (NHIS) dataset for 2016 to 2017. The MEPS is a national longitudinal survey on verified self-reported prescribed medication use and health care access measures, and the NHIS is an annual cross-sectional survey of US households that collects comprehensive health information, health behavior, and sociodemographic data, including receipt of SNAP benefits. Receipt of SNAP benefits in the past 12 months and food insecurity status in the past 30 days were assessed through standard questionnaires during the study period. Data analysis was performed from March to December 2021.

Exposure

Status of SNAP benefit receipt.

Main Outcomes and Measures

The main outcome, nonadherence to antihypertensive medication refill adherence (MRA), was defined using the MEPS data as the total days' supply divided by 365 days for each antihypertensive medication class. Patients were considered nonadherent if their overall MRA was less than 80%. Food insecurity status in the 30 days prior to the survey was modeled as the effect modifier. Inverse probability of treatment (IPT) weighting was used to control for measured confounding effects of baseline covariates. A probit model was used, weighted by the product of the computed IPT weights and MEPS weights, to estimate the population average treatment effects (PATEs) of SNAP benefit receipt on nonadherence. A stratified analysis approach was used to assess for potential effect modification by food insecurity status.

Results

This analysis involved 6692 antihypertensive medication users, of whom 1203 (12.8%) reported receiving SNAP benefits and 1338 (14.8%) were considered as food insecure. The mean (SD) age was 63.0 (13.3) years; 3632 (51.3%) of the participants were women and 3060 (45.7%) were men. Although SNAP was not associated with nonadherence to antihypertensive medications in the overall population, it was associated with a 13.6-percentage point reduction in nonadherence (PATE, -13.6 [95% CI, -25.0 to -2.3]) among the food-insecure subgroup but not among their food-secure counterparts.

Conclusions and Relevance

This analysis of a national observational dataset suggests that patients with hypertension who receive SNAP benefits may be less likely to become nonadherent to antihypertensive medication, especially if they are experiencing food insecurity. Further examination of the role of SNAP as a potential intervention for preventing nonadherence to antihypertensive medications through prospectively designed interventional studies or natural experiment study designs is needed.

Productivity-adjusted life-years and correlates of uncontrolled hypertension at two health facilities in Zambia

BACKGROUND

Hypertension has in the recent past surfaced as one of the conditions that has a significant impact on workforce productivity in emerging economies. Zambia is no different and has in the recent past recorded increasing cases. Despite the impact of hypertension being of great importance in regards to productivity, we have scarcity of data and studies on hypertension-related Productivity-Adjusted Life-Years (PALYs) in Zambia and Africa at large. This study assessed the impact of hypertension on PALYs lost and socioeconomic factors associated with nonadherence to antihypertensive medication (NATAM).

METHODS

This was a cross-sectional study of 198 participants from Livingstone University Teaching Hospital and Maramba Clinic situated in Livingstone, Zambia. Structured questionnaires were used to collect data. Productivity index multiplied by years lived was used to calculate PALYs and descriptive statistics were used to summarize sociodemographic, clinical and economic variables. Multivariable logistic regression was used to determine factors associated with NATAM.

RESULTS

The participants had a median age (interquartile range (IQR)) of 49 years (41, 59) and 60.1% (n = 119) were females while 39.9% (n = 79) were male. Our estimated PALYs lost per person due to hypertension were 0.2 (IQR 0.0, 2.7). Cumulative PALYs value lost due to the burden of hypertension was estimated to be at $871,239.58 in gross domestic product (GDP). The prevalence of NATAM was 48% (n = 95). The factors that were significantly associated with NATAM were age (odds ratio (OR) 0.94; 95% confidence interval (CI) 0.90, 0.98), female sex (OR 2.52; 95%CI 1.18, 5.40), self-employment (OR 2.57; 95%CI 1.02, 6.45) and absenteeism from work (OR 3.60; 95%CI 1.16, 11.22).

CONCLUSIONS

Findings in our study highlight a high economic loss of PALYs due to hypertension with a potential to impact GDP negatively. We also found that NATAM reduced productivity and income among individuals of working age further impacting PALYs lost due to hypertension. The factors associated with NATAM were age, sex, employment status and absenteeism from work. This study underscores the need for interventions targeting young people, females, self-employed individuals, and absentees at work to improve adherence to antihypertensive drugs in order to reduce PALYs lost due to hypertension.

Cost analysis of the WHO-HEARTS program for hypertension control and CVD prevention in primary health facilities in Ethiopia

Background

In 2020, Ethiopia launched the Ethiopia Hypertension Control Initiative (EHCI) program to improve hypertension care using the approach described in the WHO HEARTS technical package.

Objective

To estimate the costs of implementing the HEARTS program for hypertension control and cardiovascular disease (CVD) prevention in the primary care setting in Ethiopia for adult primary care users in the catchment area of five examined facilities.

Study design

This study entails a program cost analysis using cross-sectional primary and secondary data.

Methods

Micro-costing facility surveys were used to assess activity costs related to training, counselling, screening, lab diagnosis, medications, monitoring, and start-up costs at five selected health facilities. Cost data were obtained from primary and secondary sources, and expert opinion. Annual costs from the health system perspective were estimated using the Excel-based HEARTS costing tool under two intervention scenarios - hypertension-only control and a CVD risk management program, which addresses diabetes and hypercholesterolemia in addition to hypertension.

Results

The estimated cost per adult primary care user was USD 5.3 for hypertension control and USD 19.3 for integrated CVD risk management. The estimated medication cost per person treated for hypertension was USD 9.0, whereas treating diabetes and high cholesterol would cost USD 15.4 and USD 15.3 per person treated, respectively. Medications were the major cost driver, accounting for 37% of the total cost in the hypertension control program. In the CVD risk management scenario, the proportions of medication and lab diagnostics of total costs were 18% and 64%, respectively.

Conclusions

The results from this study can inform planning and budgeting for HEARTS scale-up to prevent CVD across Ethiopia.

Incidence and predictors of hypertension among diabetic patients attending a diabetic follow-up clinic in Ethiopia: a retrospective cohort study

OBJECTIVE

To assess the incidence and predictors of hypertension among patients with diabetes attending a diabetes follow-up clinic.

METHODS

This institution-based retrospective cohort study was conducted among patients with diabetes who attended a diabetic follow-up clinic at Asella Referral and Teaching Hospital between January 2017 and December 2021. Patients diagnosed with hypertension prior to diabetes, or diagnosed with hypertension at the start of follow-up, were excluded. Data were extracted from medical records and analysed.

RESULT

A total of 351 patients with diabetes were included. The incidence density rate (IDR) of hypertension during 688.98 person-years of observation was 58.05 per 1000 (95% confidence interval [CI] 42.58, 79.14) person-years. The cumulative incidence of hypertension was 11.4% (95% CI 8.05, 14.7%) over 5 years. The 25th percentile survival time to hypertension development was 4.6 years. Multivariable Cox proportional hazard regression analysis showed that older age (adjusted hazard ratio [HR] 6.24, 95% CI 3.13, 12.45), family history of hypertension (adjusted HR 1.67, 95% CI 1.22, 9.65), comorbidity (adjusted HR 2.20, 95% CI 1.94, 5.21) and higher body mass index (adjusted HR 2.07, 95% CI 1.23, 5.63) were statistically significant predictors of hypertension development.

CONCLUSION

Among patients with diabetes in Ethiopia, the IDR of hypertension was high; and older age, family history of hypertension, comorbidity and higher body mass index were statistically significant predictors of hypertension development.

Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia

BACKGROUND AND OBJECTIVES

Hypertension (HTN), a major global health concern, is a leading cause of cardiovascular disease, premature death and disability, worldwide. It is important to develop an automated system to diagnose HTN at an early stage. Therefore, this study devised a machine learning (ML) system for predicting patients with the risk of developing HTN in Ethiopia.

MATERIALS AND METHODS

The HTN data was taken from Ethiopia, which included 612 respondents with 27 factors. We employed Boruta-based feature selection method to identify the important risk factors of HTN. The four well-known models [logistics regression, artificial neural network, random forest, and extreme gradient boosting (XGB)] were developed to predict HTN patients on the training set using the selected risk factors. The performances of the models were evaluated by accuracy, precision, recall, F1-score, and area under the curve (AUC) on the testing set. Additionally, the SHapley Additive exPlanations (SHAP) method is one of the explainable artificial intelligences (XAI) methods, was used to investigate the associated predictive risk factors of HTN.

RESULTS

The overall prevalence of HTN patients is 21.2%. This study showed that XGB-based model was the most appropriate model for predicting patients with the risk of HTN and achieved the accuracy of 88.81%, precision of 89.62%, recall of 97.04%, F1-score of 93.18%, and AUC of 0. 894. The XBG with SHAP analysis reveal that age, weight, fat, income, body mass index, diabetes mulitas, salt, history of HTN, drinking, and smoking were the associated risk factors of developing HTN.

CONCLUSIONS

The proposed framework provides an effective tool for accurately predicting individuals in Ethiopia who are at risk for developing HTN at an early stage and may help with early prevention and individualized treatment.

High Prevalence of Uncontrolled Hypertension Among Afghan Hypertensive Patients: A Multicenter Cross-Sectional Study

Background

Despite striking advances in the management of hypertension, blood pressure (BP) control remains suboptimal worldwide. Sustainable Development Goals (SDGs) call for 80% control rates by 2030, highlighting the urgency for improvements in hypertension control.

Objective

We aimed to determine the prevalence of uncontrolled hypertension (≥140/90 mmHg) and assess its associated factors in Afghan hypertensive patients.

Methods

We conducted this multicenter cross-sectional study at three Afghan public hospitals in Afghanistan. We recruited hypertensive patients (n=950) on antihypertensive medications (AHMs) from August to December 2022. We analyzed only complete datasets (853). We employed the 14-item Hill-Bone compliance scale to assess compliance with AHMs. We performed multivariable logistic regression analyses to determine factors associated with uncontrolled hypertension.

Results

The mean age (±SD) of the patients was 47.5 (± 9.5) years and males constituted 50.5% (431) of the study sample. The prevalence of uncontrolled hypertension in this study was 77.3% (95% CI: 74.2-79.9%). Factors associated with uncontrolled hypertension and their adjusted OR (95% CI) were physical inactivity: 3.45 (1.87-6.35), current smoking: 3.04 (1.50-6.15), high salt intake: 3.57 (1.9-6.7), presence of comorbid medical disease: 2.22 (1.20-4.08), higher BMI: 3.32 (1.12-9.88), poor compliance to AHMs: 8.50 (4.62-15.6), and presence of depressive symptoms: 1.99 (1.2-3.27).

Conclusion

The prevalence of uncontrolled hypertension was high in the present study. Factors associated with uncontrolled hypertension may epitomize potential targets for public/individual health interventions in Afghanistan.

Effect of Arabic Qahwa on Blood Pressure in Patients with Stage One Hypertension in the Eastern Region of Saudi Arabia

Hypertension (HT), which is a condition of increased blood pressure (BP), is a major health problem globally. In Saudi Arabia, morbidity and mortality rates are increasing due to HT. Arabic Qahwa (AQ) is a commonly consumed beverage in Saudi Arabia and has numerous health benefits. We conducted a randomized control trial to investigate the effect of AQ on BP among patients with HT (Stage 1). Based on the inclusion criteria, 140 patients were randomly selected, and 126 patients were followed up. After obtaining demographic information, we assessed the BP, heart rate, and lipid profile before and after the intervention of consuming four cups of AQ daily for four weeks. A paired 't' test was used with a significance level of 5%. In the AQ group, there were significant changes (p = 0.009) in systolic blood pressure (SBP), with means of 134.72 ± 3.23 and 133.14 ± 3.69 observed pre and post-test, respectively. Similarly, the diastolic blood pressure (DBP) pre- and post-test mean scores were 87.08 ± 1.8 and 85.98 ± 1.95, respectively, which also showed significance (p = 0.001). There were also significant changes (p = 0.001) observed in the lipid profile of the AQ group. In conclusion, AQ is effective in reducing SBP and DBP in patients with stage one HT.