Dataset Information

Predictors of non-adherence to antihypertensive medications: A cross-sectional study from a regional hospital in Afghanistan.

ABSTRACT:

Background

Non-adherence to antihypertensive medications (AHMs) is a widespread problem. Cardiovascular morbidity and mortality reduction is possible via better adherence rates among hypertensive patients.

Objectives

This study aimed to assess the prevalence of non-adherence to AHMs and its predictors among hypertensive patients who attended Mirwais Regional Hospital in Kandahar, Afghanistan.

Methods

A cross-sectional study using random sampling method was conducted among hypertensive patients, aged ≥18 years in Mirwais Regional Hospital at a 6-month follow-up between October and December 2022. To assess non-adherence to AHMs, we employed the Hill-Bone Medication Adherence scale. A value below or equal to 80% of the total score was used to signify non-adherence. A multivariable binary logistic regression model was used to identify predictors of non-adherence to AHMs.

Results

We used data from 669 patients and found that 47.9% (95%CI: 44.1-51.8%) of them were non-adherent to AHMs. The majority (71.2%) of patients had poorly controlled blood pressure (BP). The likelihood of non-adherence to AHMs was significantly higher among patients from low monthly-income households [Adjusted odds ratio (AOR) 1.70 (95%CI: 1.13-2.55)], those with daily intake of multiple AHMs [AOR 2.02 (1.29-3.16)], presence of comorbid medical conditions [AOR 1.68 (1.05-2.67), lack of awareness of hypertension-related complications [AOR 2.40 (1.59-3.63)], and presence of depressive symptoms [AOR 1.65 (1.14-2.38)].

Conclusion

Non-adherence to AHMs was high. Non-adherence to AHMs is a potential risk factor for uncontrolled hypertension and subsequent cardiovascular complications. Policymakers and clinicians should implement evidence-based interventions to address factors undermining AHMs adherence in Afghanistan.

SUBMITTER: Stanikzai MH

PROVIDER: S-EPMC10752561 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Predictors of non-adherence to antihypertensive medications: A cross-sectional study from a regional hospital in Afghanistan.

Stanikzai Muhammad Haroon MH Wafa Mohammad Hashim MH Tawfiq Essa E Jafari Massoma M Le Cua Ngoc CN Wasiq Abdul Wahed AW Rahimi Bilal Ahmad BA Baray Ahmad Haroon AH Ageru Temesgen Anjulo TA Suwanbamrung Charuai C

PloS one 20231227 12

<h4>Background</h4>Non-adherence to antihypertensive medications (AHMs) is a widespread problem. Cardiovascular morbidity and mortality reduction is possible via better adherence rates among hypertensive patients.<h4>Objectives</h4>This study aimed to assess the prevalence of non-adherence to AHMs and its predictors among hypertensive patients who attended Mirwais Regional Hospital in Kandahar, Afghanistan.<h4>Methods</h4>A cross-sectional study using random sampling method was conducted among h ...[more]

PMID: 38150430

Similar Datasets

Project description:Background and Objectives: The objective of this paper is to determine the rate and predictors of non-adherence to antiseizure medications in Saudi Arabia. Materials and Methods: A cross-sectional study which involved questionnaires and data collection from patients' medical records was conducted at neurology clinics. The rate of non-adherence to antiseizure medications was measured using "the Medication Adherence Rating Scale" (MARS). Predictors of non-adherence to antiseizure medications were evaluated using a multidimensional questionnaire specific to epilepsy. Results: One hundred and sixty-two patients participated in the study. The mean (SD) age was 34.1 (10.4) years, and 56% were male. Epilepsy was controlled (i.e., seizure-free ≥ 1 year) in 42% of patients. The mean ± SD (range) MARS scores were 7.80 ± 1.59 (2-10). Out of 162 patients, 58 (36%) patients had MARS scores ≤ 7 out of 10. The most frequently rated predictor for non-adherence was poor seizure control, which was reported by around 36% of patients. Forgetfulness, dosing frequency, and social stigma were also among the commonest predictors of non-adherence to antiseizure medications that were rated by approximately 27%, 24%, and 22% of the patients, respectively. The impacts of several socio-demographic and clinical factors on adherence were assessed. In the regression analysis, the odds of non-adherence in a patient who experienced adverse effects were twice that of a patient who did not have adverse effects (p = 0.113). Furthermore, females, employers, and patients who had comorbidity, those with focal epilepsy, those on polytherapy of antiseizure medication, and those receiving multiple doses per day, were all more likely (but not significantly, p > 0.05) to be non-adherent compared to their counterparts. Conclusions: The significance of this study is that it reveals that adherence to antiseizure medications is suboptimal in Saudi Arabia. Poor seizure control, forgetfulness, dosing frequency, and social stigma were the primary patient-reported predictors of non-adherence in epilepsy. This emphasizes the importance of routine evaluation of adherence in practice to identify and address what individual patients perceive as a barrier to adherence with antiseizure medications.

Project description:ImportanceNonadherence 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.ObjectiveTo evaluate whether receipt of SNAP benefits can modify the consequences of food insecurity on nonadherence to antihypertensive medications.Design, setting, and participantsA 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.ExposureStatus of SNAP benefit receipt.Main outcomes and measuresThe 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.ResultsThis 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 relevanceThis 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.

Project description:Non-adherence to antihypertensive medications is a major cause of uncontrolled hypertension, leading to cardiovascular morbidity and mortality. Ensuring consistent medication possession is crucial in addressing non-adherence. Community-based medication delivery is a strategy that may improve medication possession, adherence, and blood pressure (BP) reduction. Our program in Kenya piloted a community medication delivery program, coupled with blood pressure monitoring and adherence evaluation. Between September 2019 and March 2020, patients who received hypertension care from our chronic disease management program also received community-based delivery of antihypertensive medications. We calculated number of days during which each patient had possession of medications and analyzed the relationship between successful medication delivery and self-reported medication adherence and BP. A total of 128 patient records (80.5% female) were reviewed. At baseline, mean systolic blood pressure (SBP) was 155.7 mmHg and mean self-reported adherence score was 2.7. Sixty-eight (53.1%) patients received at least 1 successful medication delivery. Our pharmacy dispensing records demonstrated that medication possession was greater among patients receiving medication deliveries. Change in self-reported medication adherence from baseline worsened in patients who did not receive any medication delivery (+0.5), but improved in patients receiving 1 delivery (-0.3) and 2 or more deliveries (-0.8). There was an SBP reduction of 1.9, 6.1, and 15.5 mmHg among patients who did not receive any deliveries, those who received 1 delivery, and those who received 2 or more medication deliveries, respectively. Adjusted mixed-effect model estimates revealed that mean SBP reduction and self-reported medication adherence were improved among individuals who successfully received medication deliveries, compared to those who did not. A community medication delivery program in western Kenya was shown to be implementable and enhanced medication possession, reduced SBP, and significantly improved self-reported adherence. This is a promising strategy to improve health outcomes for patients with uncontrolled hypertension that warrants further investigation.

Project description:BackgroundAdherence to antihypertensive drugs in patients with diabetes is important. To support adherence, attention should be paid to the dynamic process of implementation, persistence and reinitiation of these drugs. We assessed non-adherence, non-persistence and reinitiation patterns for antihypertensive drugs in patients on oral diabetes drugs and identified pharmacy-based predictors of these processes.MethodsWe conducted a cohort study in patients on oral diabetes drugs who initiated antihypertensive drugs between 1995-2015, as registered in the IADB.nl pharmacy database. Non-adherence was defined as a medication possession ratio < 80% and non-persistence as a gap > 180 days. We defined reinitiation as the dispensing of an antihypertensive drug within one year following discontinuation. We provide descriptive statistics for different time periods and applied logistic and Cox regressions to assess associations with sociodemographic and drug-related factors.ResultsOf 6,669 initiators, non-adherence rates in persistent patients decreased from 11.0% in the first year to 8.5% and 7.7% in the second and third years, respectively. Non-persistence rates decreased from 18.0% in the first year to 3.7% and 2.9% in the second and third years, respectively. Of the 1,201 patients who discontinued in the first year, 22.0% reinitiated treatment within one year. Non-adherence and non-persistence rates were lower in the more recent time period. Predictors of non-adherence were secondary prevention (OR: 1.45; 95% CI: 1.10-1.93) and diuretics as initial drug class (OR: 1.37; 95% CI: 1.08-1.74). Predictors of non-persistence were female gender (HR: 1.18; 95% CI: 1.05-1.32), older age (HR: 1.33; 95% CI: 1.08-1.63) and diuretics, beta-blocking agents or calcium channel blockers as initial drug class. Longer duration of persistence was a predictor of reinitiation.ConclusionsAdherence to antihypertensive drugs in patients on oral diabetes drugs has improved over time. The first year after initiation is the most crucial with regard to non-adherence and non-persistence, and the risk groups are different for both processes. Early non-persistence is a risk factor for not reinitiating treatment.

Dataset Information

Predictors of non-adherence to antihypertensive medications: A cross-sectional study from a regional hospital in Afghanistan.

Background

Objectives

Methods

Results

Conclusion

Publications

Predictors of non-adherence to antihypertensive medications: A cross-sectional study from a regional hospital in Afghanistan.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets