Factors Associated with Antihypertensive Medication Non-Adherence: A Cross-Sectional Study Among Lebanese Hypertensive Adults

Uncontrolled hypertension among adult hypertensive patients in Addis Ababa public hospitals: A cross-sectional study of prevalence and associated factors

BACKGROUND

In 2019, 77% of women and 82% of men with hypertension had uncontrolled hypertension worldwide. Uncontrolled hypertension can cause stroke, myocardial infarction, heart failure, renal failure, dementia, blindness, and death. However, most of the studies used the previous seventh joint national committee classification to classify hypertensive patients as either controlled or uncontrolled. This study aimed to assess the prevalence and associated factors of uncontrolled hypertension among adult hypertensive patients at public hospitals in Addis Ababa, Ethiopia.

METHODS

From April 12 to May 12, 2024, three public hospitals in Addis Ababa employed a hospital-based cross-sectional study design with 408 hypertensive patients. Systematic random sampling was used to select the study participants. We used a structured interview questionnaire and chart review and took physical measurements. Data were entered into Epidata and analyzed using the statistical package for social science version 25. A logistic regression model was used to identify factors associated with uncontrolled hypertension at a P-value < 0.05 with a 95% confidence interval.

RESULTS

The prevalence of uncontrolled hypertension among hypertensive patients at public hospitals in Addis Ababa was 66.2% (95% CI: 61.6%, 70.8%). After adjusted analysis, age ≥ 60 years (AOR = 2.88, 95% CI: 1.37, 6.04), the presence of comorbidities (AOR = 2.21, 95% CI: 1.23, 3.96), being overweight (AOR = 2.25, 95% CI: 1.20, 4.24), non-adherence to antihypertensive medication (AOR = 5.21, 95% CI: 2.76, 9.83), non-adherence to a low-salt diet and dietary approaches to stop hypertension (AOR = 2.74, 95% CI: 1.35, 5.53), taking three or more antihypertensive medications (AOR = 3.10, 95% CI: 1.16, 8.25), and non-adherence to physical exercise (AOR = 2.84, 95% CI 1.49, 5.39) were factors associated with uncontrolled hypertension.

CONCLUSIONS

Uncontrolled hypertension was very high in public hospitals in Addis Ababa, Ethiopia. Key factors for uncontrolled hypertension are non-adherence to antihypertensive medications, use of multiple medications, lack of physical exercise, and low adherence to low salt and dietary approaches to stop hypertension. To address these, enhancing patient education on medication adherence, promoting lifestyle changes, and leveraging digital health tools, like mobile apps, for real-time support and adherence tracking are recommended.

Factors Affecting the Level of Adherence to Hypertension Medications: A Cross-Sectional Study Using the Hill-Bone Questionnaire

Background

The adherence to antihypertensive therapy plays a significant role in determining the clinical outcomes of hypertension. We aim to evaluate the level of adherence to antihypertensive medications among patients and to assess the effect of different sociodemographic factors on the level of adherence using the Hill-Bone scale for indirect assessment.

Methodology

In this cross-sectional study, we utilized a validated, face-to-face interview questionnaire to collect data on sociodemographic characteristics, participants' attitudes, and disease knowledge. The Hill-Bone questionnaire was employed to assess treatment adherence. The statistical analysis was conducted using SPSS version 28.0, where mean, standard deviation, and range were utilized for variability analysis.

Results

A total of 390 patients were included in this study. The sample comprised 56.9% of females and 56.4% of participants aged 60 years or older. Approximately 80% of participants were currently married, and 46.7% had a higher education level. The average Hill-Bone CHBPTS score was 21.23± 4.95 and indicated good adherence in 63.8% of participants. The findings showed that several factors were significantly associated with higher adherence rates, including older age (COR = 3.41, 95% CI = 1.10-10.54, p = 0.03), higher educational level (COR = 1.72, 95% CI = 1.05-2.83, p = 0.03), regular blood pressure monitoring (COR = 1.90, 95% CI = 1.10-3.30, p = 0.03), and knowledge about their medications (COR = 2.12, 95% CI = 1.14-3.94, p = 0.02).

Conclusion

The medication adherence within our population falls below the desired level. Enhanced counselling and further research are necessary to identify additional factors influencing adherence and develop effective strategies for promoting adherence to antihypertensive medications.

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.

Factors predicting medication adherence among coronary artery disease patients in Saudi Arabia: A descriptive study

OBJECTIVES

To measure medication adherence among coronary artery disease (CAD) patients and identify sociodemographic factors that are medication adherence predictors.

METHODS

A cross-sectional correlation design was carried out, following the STROBE guidelines. The study was carried out in a specialized cardiac center in the western region of Saudi Arabia between March 2019 and January 2020. A total of 278 patients completed the study survey.

RESULTS

The majority of participants (59.4%) reported moderate medication adherence, and the remainder reported poor (30.6%) and good (10%) medication adherence. It was found that women patients, patients with higher education levels, non-smokers, patients who regularly followed-up with their cardiologist, and patients with family support showed significantly higher medication adherence. Four of the sociodemographic variables (gender, number of doctor visits, family support, and education level) predicted medication adherence.

CONCLUSION

Approximately 30% of the participants reported poor medication adherence. The number of cardiologist visits and the level of family support were 2 of the factors found to be associated with medication adherence.

Factors associated with non-adherence to angiotensin-converting enzyme inhibitors and angiotensin receptor blockers in older patients with peripheral arterial disease

Introduction: As in other chronic conditions, medication adherence is important in the treatment of peripheral arterial disease (PAD). Our study aimed at a) analysing non-adherence to angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) in groups of older ACEI and ARB users with PAD, and b) identifying characteristics associated with non-adherence. Methods: We focused on the implementation phase of adherence (i.e., after treatment initiation and before possible discontinuation of treatment). The study cohort included ACEI/ARB users aged ≥65 years in whom PAD was newly diagnosed during 2012. Non-adherence was defined as Proportion of Days Covered (PDC) < 80%. Results: Among 7,080 ACEI/ARB users (6,578 ACEI and 502 ARB users), there was no significant difference in the overall proportion of non-adherent patients between ACEI and ARB users (13.9% and 15.3%, respectively). There were differences in factors associated with non-adherence between the groups of persistent and non-persistent (i.e., discontinued treatment at some point during follow-up) ACEI and ARB users. Increasing age, dementia and bronchial asthma were associated with non-adherence in persistent ACEI users. General practitioner as index prescriber was associated with adherence in the groups of non-persistent ACEI users and persistent ARB users. Conclusion: Identified factors associated with non-adherence may help in determining the groups of patients who require increased attention.

Prevalence and determinants of medications non-adherence among patients with uncontrolled hypertension in primary care setting in Sarawak, Malaysia: A cross-sectional study

INTRODUCTION

Non-adherence to antihypertensive medications is a leading cause of uncontrolled hypertension and its complications. However, data on the factors associated with non-adherence to antihypertensive medications in the communities of Sarawak, Malaysia, are limited. This study aimed to examine the prevalence and determinants of medication non-adherence among patients with uncontrolled hypertension.

METHOD

A cross-sectional study was conducted using the systematic sampling method in four government primary healthcare clinics in Sarawak. A self-administered questionnaire was used to obtain socio-demographic data and evaluate non-adherence. Blood pressure was measured, and relevant clinical variables were collected from medical records. Multivariate logistic regression was used to determine the determinants of medication non-adherence.

RESULTS

A total of 488 patients with uncontrolled hypertension were enrolled in this study. The prevalence of medication non-adherence was 39.3%. There were four predictors of medication non-adherence among the patients with uncontrolled hypertension: tertiary educational level (odds ratio [OR]=4.21, 95% confidence interval [CI] = 1.67-10.61, P=0.010), complementary alternative medication (0R=2.03, 95% CI=1.12-3.69, P=0.020), non-usage of calcium channel blockers (0R=1.57, 95% CI=1.02-2.41, P=0.039) and 1 mmHg increase in the systolic blood pressure (0R=1.03, 95% CI=1.00-1.05, P=0.006).

CONCLUSION

Because of the high prevalence of medication non-adherence among patients with uncontrolled hypertension, primary care physicians should be more vigilant in identifying those at risk of being non-adherent. Early intervention should be conducted to address non-adherence for blood pressure control.

(De)constructing 'therapeutic itineraries' of hypertension care: A qualitative study in the Philippines

Hypertension, a major risk factor for non-communicable diseases, remains poorly controlled in many countries. In the Philippines, it is still one of the leading causes of preventable deaths despite the accessibility and availability of essential technologies and medicine to detect and treat hypertension. This paper characterizes the 'therapeutic itineraries' of people with hypertension from poor communities in rural and urban settings in the Philippines. We employ longitudinal qualitative methodology comprised of repeat interviews and digital diaries using mobile phones from 40 recruited participants in 12 months. Our findings demonstrate that therapeutic itineraries, rather than being organized according to categories that stem from the structure of the health system (i.e., diagnosis, treatment, follow-up, adherence), diverge from clinical pathways. Therapeutic itineraries begin at a stage we label as 'pre-diagnosis' (PD). Following this, itineraries diverge according to two possible entry points into the healthcare system: via incidental diagnosis (ID) whereby participants were diagnosed with hypertension without deliberately seeking care for hypertension-related symptoms and symptom-driven diagnosis (SD) whereby their diagnosis was obtained during a clinical encounter specifically prompted by hypertension-related symptoms. Participants whose itineraries follow the SD route typically oscillated between periods of regular and intermittent medical treatment, while participants who were diagnosed incidentally (ID) typically opted for self-care As we follow our participants' therapeutic itineraries, we explore the confluence of factors informing their care journey, namely, their conceptions of hypertension, their social relationships, as well the choices and trade-offs they make. We conclude with policy implications from our findings, chief of which is our proposition that models of care based on mere access and availability of clinical interventions fail to reflect the complexity of people's lay understanding and their lived experiences of hypertension and are thus ultimately unhelpful in improving its control.

Predictors of poor medication adherence of older people with hypertension

Aims

To explore the risk factors for poor medication adherence in older people with hypertension.

Design

A cross‐sectional study.

Methods

Participants were administered with a self‐report questionnaire about their demographic characteristics; additionally, their four‐item Morisky Medication Adherence Scale scores were calculated. The STROBE checklist was applied as the reporting guideline for this study (File S1).

Results

Univariate analysis indicated that the following five factors were statistically significantly associated with medication adherence: education level (χ² = 8.073, p = .045), co‐living (χ² = 11.364, p = .010), hypertension complications (χ² = 10.968, p = .001), admission blood pressure (χ² = 8.876, p = .003), and falls (χ² = 6.703, p = .010). Multivariable binary logistic regression analysis showed that there were four statistically significant predictors, such as people who lived with spouses and offspring (OR = 3.004, p = .017), and those who had high admission blood pressure (OR = 1.910, p = .003) had a greater risk of poor medication adherence, whereas those without hypertension complications (OR = 0.591, p = .026) and those without falls (OR = 0.530, p = .046) had a lower risk.

Relevance to clinical practice

We believe that these findings contribute to the identification of high‐risk people with poor adherence, allowing nurses to identify people with poor adherence in a timely manner, and pay attention to the people's medication.

Behavioral Factors Associated with Medication Nonadherence in Patients with Hypertension

Medication nonadherence is associated with an increased risk of complications in hypertensive patients. We investigated behavioral factors associated with medication nonadherence in hypertensive patients in southern Taiwan. Using questionnaires, we collected data regarding clinicodemographic characteristics and nonadherence behaviors from 238 hypertensive patients. We assessed the self-reported prevalence of specific behaviors of medication nonadherence and investigated factors associated with each behavior using multivariable logistic regression analysis. The most common behavior of medication nonadherence was forgetting to take medication (28.6%), followed by discontinuing medication (9.2%) and reducing the medication dose (8.8%). Age ≥ 65 years (adjusted odds ratio [aOR] = 0.32, 95% confidence interval [CI] = 0.15–0.69) and male sex (aOR = 2.61, CI = 1.31–5.19) were associated with forgetting to take medication. The presence of comorbidities (diabetes, kidney disease, or both) and insomnia (aOR = 3.97, 95% CI = 1.30–12.1) was associated with reducing the medication dose. The use of diet supplements was associated with discontinuing the medication (aOR = 4.82, 95% CI = 1.50–15.5). Compliance with a low oil/sugar/sodium diet was a protective factor against discontinuing medication (aOR = 0.14; 95% CI = 0.03–0.75). The most pervasive behavior associated with medication nonadherence among hypertensive patients was forgetting to take medication. Age <65 years, male sex, comorbidities, insomnia, noncompliance with diet, and the use of dietary supplements were specifically associated with medication nonadherence.

Self-care practice among hypertensive patients in Ethiopia: systematic review and meta-analysis

BACKGROUND

In high-income and low-income countries, including Ethiopia, hypertension (HTN) is a serious public health concern. As a consequence, a massive self-care practice (SCP) is necessary, and the domains of SCP, including adherence to medication, physical activity, weight management, low-salt diet, non-smoking, moderate alcohol usage, and dietary management, are required. However, there is no nationwide study on HTN SCPs in Ethiopia. This meta-analysis, therefore, aimed to estimate the pooled level of HCP among individuals living with HTN in Ethiopia.

METHODS

The Preferred Reporting Items for Systematic Reviews and Meta-Analysis guideline was used to report this systematic review and meta-analysis. We systematically searched the databases PubMed/MEDLINE, Embase, Google Scholar and Science Direct for studies conducted in Ethiopia. All observational studies published until July 2020 were included. Data were analysed using R V.3.5.3 software, and the pooled prevalence with 95% CIs was presented using tables and forest plots. The presence of statistical heterogeneity (I ²) within the included studies was evaluated. We used a funnel plot to identify evidence of publication bias. The random-effects meta-analysis model was employed to estimate the pooled proportion of good HTN SCPs.This was submitted for registration with the International Prospective Register of Systematic Reviews in March 2020 and accepted with the registration number CRD42020175743 (https://www.crd.york.ac.uk/PROSPERO).

RESULTS

Our search databases produced 356 papers. Twelve of these papers fulfilled the inclusion and were found suitable for the review. The total population in this study was 3938. Off these hypertensive populations, 44% (95% CI 34 to 53) had good SCP. The subgroup analysis for each component of SCP was done. The subgroup analysis of good adherence to low-salt diet, alcohol abstinence, medication adherence, non-smoking, physical exercise and weight management was 52% (95% CI 39% to 66%), 77% (95% CI 69% to 88%), 65% (95% CI 45% to 85%), 92% (95% CI 88% to 95%), 43% (95% CI 30% to 56%) and 51% (95% CI 32% to 69%), respectively. In conclusion, nearly half of patients with HTN had good SCPs.