Impacts of medication non-adherence to major modifiable stroke-related diseases on stroke prevention and mortality: a meta-analysis.
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ABSTRACT: Background
Medication adherence is one of the crucial attempts in primary stroke prevention. The available evidence lacks comprehensive reviews exploring the association of medication adherence with stroke prevention.Objectives
To investigate the effects of non-adherence to medications used to treat the modifiable risk of diseases on stroke-associated outcomes in primary stroke prevention.Methods
Study records were searched from PubMed, Embase, and CINAHL. Those studies reported risks relevant to stroke-associated outcomes and medication non-adherence for patients diagnosed with four modifiable stroke-related diseases (atrial fibrillation [AF], hyperlipidemia, hypertension, and type 2 diabetes mellitus) but without stroke history were included for meta-analysis and further subgroup, sensitivity, and publication bias analyses. A random effect model was performed to analyse the pooled risk estimates of relative risk (RR) and 95% confidence intervals (CIs).Results
Thirty-nine studies (with 2,117,789 participants in total) designed as cohort or case-control studies were included. Those patients presenting with four stroke-related diseases and categorised as medication non-adherent tended to result in stroke and/or associated death (all pooled RR ≥ 1 and 95% CI did not include 1). The findings of stratification and sensitivity analysis for each stroke-related disease showed a similar trend. Non-adherent patients with AF were prone to stroke occurrence (RR 1.852; 95% CI 1.583-2.166) but inclined to reduced bleeding (RR 0.894; 95% CI 0.803-0.996). The existence of publication bias warrants further interpretation.Conclusions
Non-adherence to medications for the four stroke-related diseases contributes to the development of stroke and/or mortality in primary stroke prevention. More efforts are needed to improve patients' medication adherence.
SUBMITTER: Mafruhah OR
PROVIDER: S-EPMC9968645 | biostudies-literature | 2023 May
REPOSITORIES: biostudies-literature
Publications
Impacts of medication non-adherence to major modifiable stroke-related diseases on stroke prevention and mortality: a meta-analysis.
Mafruhah Okti Ratna OR Huang Yen-Ming YM Lin Hsiang-Wen HW
Journal of neurology 20230227 5
<h4>Background</h4>Medication adherence is one of the crucial attempts in primary stroke prevention. The available evidence lacks comprehensive reviews exploring the association of medication adherence with stroke prevention.<h4>Objectives</h4>To investigate the effects of non-adherence to medications used to treat the modifiable risk of diseases on stroke-associated outcomes in primary stroke prevention.<h4>Methods</h4>Study records were searched from PubMed, Embase, and CINAHL. Those studies r ...[more]
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Project description:PurposeMedication nonadherence is a ubiquitous problem. However, the adherence of patients to medications to manage corneal conditions is unknown. A prospective cohort study investigated the patterns of eye drop adherence among patients with corneal conditions.MethodsPatients older than or equal to 18 years taking prescription eye medications were recruited from an academic center's corneal clinic. Data collected included age, sex, total doses of eye medications, and category of primary corneal diagnosis. Participants completed adapted versions of the 12-question Adherence to Refills and Medications Scale (ARMS) and the 3-question Voils' Medication Adherence Scale (VMAS). Survey data were dichotomized as "adherent" and "nonadherent," and subscales reported for reasons of nonadherence. Logistic regression analyses were used to test associations with adherence.ResultsA total of 199 participants were surveyed from February to March 2019 (95% response rate). Participants were aged 19 to 93 years with a mean age of 59 years (SD 17.8). The percent of participants considered nonadherent was 72% by the ARMS and 33% by the VMAS. Older age was associated with higher adherence by the ARMS (odds ratio = 1.48, 95% confidence interval, 1.14-1.93, P = 0.004) and by the VMAS (odds ratio = 1.24, confidence interval, 1.04-1.48, P = 0.012). Adherence was not significantly associated with race, sex, education, total doses of eye medications, or primary cornea diagnosis.ConclusionsMedication adherence was lower than expected, particularly on the ARMS scale that asks more detailed questions. Clinicians should engage in conversations about adherence, especially with younger patients, if they are not seeing an expected clinical response.
| S-EPMC8418623 | biostudies-literature
Project description:ObjectiveTo conduct a meta-analysis of the association between depression and medication adherence among patients with chronic diseases. Poor medication adherence may result in worse outcomes and higher costs than if patients fully adhere to their medication regimens.Data sourcesWe searched the PubMed and PsycINFO databases, conducted forward searches for articles that cited major review articles, and examined the reference lists of relevant articles.Study eligibility criteria, participants, and interventionsWe included studies on adults in the United States that reported bivariate relationships between depression and medication adherence. We excluded studies on special populations (e.g., substance abusers) that were not representative of the general adult population with chronic diseases, studies on certain diseases (e.g., HIV) that required special adherence protocols, and studies on interventions for medication adherence.Study appraisal and synthesis methodsData abstracted included the study population, the protocol, measures of depression and adherence, and the quantitative association between depression and medication adherence. Synthesis of the data followed established statistical procedures for meta-analysis.ResultsThe estimated odds of a depressed patient being non-adherent are 1.76 times the odds of a non-depressed patient, across 31 studies and 18,245 participants. The association was similar across disease types but was not as strong among studies that used pharmacy records compared to self-report and electronic cap measures.LimitationsThe meta-analysis results are correlations limiting causal inferences, and there is some heterogeneity among the studies in participant characteristics, diseases studied, and methods used.ConclusionsThis analysis provides evidence that depression is associated with poor adherence to medication across a range of chronic diseases, and we find a new potential effect of adherence measurement type on this relationship. Although this study cannot assess causality, it supports the importance that must be placed on depression in studies that assess adherence and attempt to improve it.
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Project description:BackgroundOral anticoagulants (OAC) effectively reduce the risk for ischemic stroke in patients with atrial fibrillation (AF). We aimed to assess OAC treatment adherence in secondary stroke prevention and to find predictors of adherence using individualized patient data.MethodsThis retrospective cohort study included patients with a discharge diagnosis of ischemic stroke and AF from Tartu University Hospital from 2017 to 2018. Data from patient charts and the Electronic Hospital Information, Estonian Electronic Prescription, and Estonian Electronic Health Record systems were registered.ResultsOf the 353 patients, 237 (67%) were prescribed OAC treatment at discharge and during the first year after stroke, 202 (85%) of them used OAC treatment. The mean adherence was 81%, while only 68% had good adherence. Reduced non-vitamin K antagonist OAC (NOAC) dose was used in 68 patients (39%), which was justified in 23 (34%). First-ever stroke occurrence was the only significant factor for good treatment adherence in logistic regression analysis. There were 47 patients (23%) with complications among the patients on OAC treatment. Majority of the patients (70%) with hemorrhagic complications and 52% of patients with thromboembolic complications had good treatment adherence.ConclusionsOur study showed that OAC treatment adherence following stroke was modest and first-ever stroke was the only predictor of good or full treatment adherence.
| S-EPMC9293572 | biostudies-literature
Project description:ObjectiveData on long-term use of secondary prevention medications following stroke are limited. The Adherence eValuation After Ischemic stroke-Longitudinal (AVAIL) Registry assessed patient, provider, and system-level factors influencing continuation of prevention medications for 1 year following stroke hospitalization discharge.MethodsPatients with ischemic stroke or TIA discharged from 106 hospitals participating in the American Heart Association Get With The Guidelines-Stroke program were surveyed to determine their use of warfarin, antiplatelet, antihypertensive, lipid-lowering, and diabetes medications from discharge to 12 months. Reasons for stopping medications were ascertained. Persistence was defined as continuation of all secondary preventive medications prescribed at hospital discharge, and adherence as continuation of prescribed medications except those stopped according to health care provider instructions.ResultsOf the 2,880 patients enrolled in AVAIL, 88.4% (2,457 patients) completed 1-year interviews. Of these, 65.9% were regimen persistent and 86.6% were regimen adherent. Independent predictors of 1-year medication persistence included fewer medications prescribed at discharge, having an adequate income, having an appointment with a primary care provider, and greater understanding of why medications were prescribed and their side effects. Independent predictors of adherence were similar to those for persistence.ConclusionsAlthough up to one-third of stroke patients discontinued one or more secondary prevention medications within 1 year of hospital discharge, self-discontinuation of these medications is uncommon. Several potentially modifiable patient, provider, and system-level factors associated with persistence and adherence may be targets for future interventions.
| S-EPMC3265047 | biostudies-literature
Project description:IntroductionThe management of chronic illnesses commonly includes a long-term pharmacological approach. Although these medications effectively control disease, their full benefits are often not realized because approximately 50% of patients do not take their medications as prescribed. Medication adherence has become a big concern to clinicians and healthcare systems in Saudi Arabia and worldwide because of growing evidence associating nonadherence with adverse outcomes and higher costs of care. Despite it being a well-recognized problem, few studies have investigated medication adherence in Saudi Arabia. Therefore, this study aims to gain a better perspective on medication adherence among patients with chronic diseases in Saudi Arabia.MethodA questionnaire-based cross-sectional study was conducted among patients with chronic diseases in the Makkah region, Saudi Arabia, from 1 May to 31 July 2021. Patients aged 18 years and above who were taking prescribed or over-the-counter medications were included. Descriptive statistics were used to describe the participants' characteristics, and categorical variables were reported as frequencies and percentages. A Chi-square test was used to test the relations between variables.ResultsIn total, 239 participants were included in the study. Females represented 62% of the participants. In terms of the history of chronic diseases, 44% had hypertension, 40% had diabetes mellitus, 21% had heart diseases and 9% had asthma. Nearly half (49%) of participants did not follow up regularly with a primary healthcare center and 42% said that they had forgotten to take their medications in the past. However, most of the participants (78%) stated that they took their medicine as instructed by their doctor or pharmacist, and 61% took their medications on time. The majority of participants (85%) said that the pharmacist explained the method of using the medications and the instructions for use, while 30% thought that the medications they took were too much. In regard to the reasons for medication nonadherence, having no specific reasons for medication nonadherence was the most common cause for nonadherence in our study. The relationship between patients taking medications as instructed by a healthcare provider (the doctor or pharmacist) and the healthcare provider giving clear instructions to patients about medication use was significant (p < 0.001).ConclusionsFailure to adhere is a significant problem that not only affects the patient but also the healthcare system. Additional research is needed to monitor medication adherence and identify factors contributing to this problem to provide successful strategies to improve medication adherence in Saudi Arabia.
| S-EPMC9408114 | biostudies-literature
Project description:Introduction: Failure to take medications regularly leads to poorer health outcomes. The Pediatric Rheumatology Adherence Questionnaire (PRAQ) is an effective tool for assessing medication adherence in rheumatic patients. Therefore, we aimed to determine the factors associated with poor medication adherence among children with rheumatic diseases. Methods: This was a cross-sectional study. Patients with rheumatic diseases who had taken at least one medication and had been followed up at our pediatric rheumatology clinic were included in the study, together with their caregivers. Patients with poor medication adherence were characterized as those who had taken less than 80% of their prescribed drugs, as determined using the pill count method. The original PRAQ was translated and validated in Thai language and was completed by caregivers and literate patients over age 13 years. Interviewing for additional problems with taking medications was conducted. We performed descriptive and logistic regression analyses. Results: From 210 patients, 52.86% had juvenile idiopathic arthritis (JIA), and 46.19% had connective tissue diseases. The mean patient age was 14.10 ± 4.74 years, with a median (interquartile range) disease duration of 4.33 (2.08-6.98) years. PRAQ scores in the group with poor adherence were significantly higher than scores in the group with good adherence (11.00 ± 3.47 vs. 9.51 ± 3.16, p = 0.004). Enthesitis-related arthritis (ERA) (odds ratio [OR] 9.09, 95% confidence interval [CI] 1.25-66.18; p = 0.029) and polyarticular JIA (OR 6.43, 95% CI 1.30-31.75; p = 0.022) were associated with poor treatment adherence. Disease duration ≥5 years (OR 3.88, 95% CI 1.17-12.87; p = 0.027), active disease (OR 6.49, 95% CI 1.76-23.99; p = 0.005), PRAQ scores ≥12 (OR 6.48, 95% CI 1.76-23.82; p = 0.005), forgetting to take medications (OR 14.18, 95% CI 4.21-47.73; p < 0.001), and unawareness about the importance of the medicines (OR 44.18, 95% CI 11.30-172.73; p < 0.001) were predictors of poor drug adherence. Conclusion: In the present study, poor medication adherence was found in one-fourth of children with rheumatic illnesses, particularly those with ERA, polyarticular JIA, longer disease duration, active disease, and high PRAQ scores. The most frequent reasons for inadequate medication adherence were forgetfulness and unawareness about the importance of disease control and consistency with treatment.
| S-EPMC10196057 | biostudies-literature
Project description:BackgroundWhile medication adherence is essential for the secondary prevention of stroke, it is often sub-optimal, and can be compromised by cognitive impairment. This study aimed to systematically review and meta-analyse the association between cognitive impairment and medication non-adherence in stroke.MethodsA systematic literature search of longitudinal and cross-sectional studies of adults with any stroke type, which reported on the association between any measure of non-adherence and cognitive impairment, was carried out according to PRISMA guidelines. Odds ratios and 95% confidence intervals were the primary measure of effect. Risk of bias was assessed using the Cochrane Bias Methods Group's Tool to Assess Risk of Bias in Cohort Studies, with evidence quality assessed according to the GRADE approach. We conducted sensitivity analyses according to measure of cognitive impairment, measure of medication adherence, population, risk of bias and adjustment for covariates. The protocol was registered with PROSPERO.ResultsFrom 1,760 titles and abstracts, we identified 9 studies for inclusion. Measures of cognitive impairment varied from dementia diagnosis to standardised cognitive assessments. Medication adherence was assessed through self-report or administrative databases. The majority of studies were of medium risk of bias (n = 6); two studies had low risk of bias. Findings were mixed; when all studies were pooled, there was no evidence of an association between cognitive impairment and medication non-adherence post-stroke [OR (95% CI): 0.85 (0.66, 1.03)]. However, heterogeneity was substantial [I2 = 90.9%, p < .001], and the overall evidence quality was low.ConclusionsFew studies have explored associations between cognitive impairment and medication adherence post-stroke, with substantial heterogeneity in study populations, and definitions and assessments of non-adherence and cognitive impairment. Further research using clear, standardised and objective assessments is needed to clarify the association between cognitive impairment and medication non-adherence in stroke.
| S-EPMC5722379 | biostudies-literature
Project description:BackgroundPeople with stroke or transient ischaemic attack (TIA) are at increased risk of future stroke and other cardiovascular events. Stroke services need to be configured to maximise the adoption of evidence-based strategies for secondary stroke prevention. Smoking-related interventions were examined in a separate review so were not considered in this review. This is an update of our 2014 review.ObjectivesTo assess the effects of stroke service interventions for implementing secondary stroke prevention strategies on modifiable risk factor control, including patient adherence to prescribed medications, and the occurrence of secondary cardiovascular events.Search methodsWe searched the Cochrane Stroke Group Trials Register (April 2017), the Cochrane Effective Practice and Organisation of Care Group Trials Register (April 2017), CENTRAL (the Cochrane Library 2017, issue 3), MEDLINE (1950 to April 2017), Embase (1981 to April 2017) and 10 additional databases including clinical trials registers. We located further studies by searching reference lists of articles and contacting authors of included studies.Selection criteriaWe included randomised controlled trials (RCTs) that evaluated the effects of organisational or educational and behavioural interventions (compared with usual care) on modifiable risk factor control for secondary stroke prevention.Data collection and analysisFour review authors selected studies for inclusion and independently extracted data. The quality of the evidence as 'high', 'moderate', 'low' or 'very low' according to the GRADE approach (GRADEpro GDT).Three review authors assessed the risk of bias for the included studies. We sought missing data from trialists.The results are presented in 'Summary of findings' tables.Main resultsThe updated review included 16 new studies involving 25,819 participants, resulting in a total of 42 studies including 33,840 participants. We used the Cochrane risk of bias tool and assessed three studies at high risk of bias; the remainder were considered to have a low risk of bias. We included 26 studies that predominantly evaluated organisational interventions and 16 that evaluated educational and behavioural interventions for participants. We pooled results where appropriate, although some clinical and methodological heterogeneity was present.Educational and behavioural interventions showed no clear differences on any of the review outcomes, which include mean systolic and diastolic blood pressure, mean body mass index, achievement of HbA1c target, lipid profile, mean HbA1c level, medication adherence, or recurrent cardiovascular events. There was moderate-quality evidence that organisational interventions resulted in improved blood pressure control, in particular an improvement in achieving target blood pressure (odds ratio (OR) 1.44, 95% confidence interval (CI) 1.09 to1.90; 13 studies; 23,631 participants). However, there were no significant changes in mean systolic blood pressure (mean difference (MD), -1.58 mmHg 95% CI -4.66 to 1.51; 16 studies; 17,490 participants) and mean diastolic blood pressure (MD -0.91 mmHg 95% CI -2.75 to 0.93; 14 studies; 17,178 participants). There were no significant changes in the remaining review outcomes.Authors' conclusionsWe found that organisational interventions may be associated with an improvement in achieving blood pressure target but we did not find any clear evidence that these interventions improve other modifiable risk factors (lipid profile, HbA1c, medication adherence) or reduce the incidence of recurrent cardiovascular events. Interventions, including patient education alone, did not lead to improvements in modifiable risk factor control or the prevention of recurrent cardiovascular events.
| S-EPMC6494626 | biostudies-literature
Project description:ObjectiveStandards for reporting and analyzing adherence to medical therapy have recently improved due to international consensus efforts. If applied to clinical trial research in patients with stroke, these improvements have the potential to identify when in the sequence of trial operations participants are at risk for non-adherence and opportunities to safeguard adherence.MethodsWe analyzed three phases of adherence according to the European Society for Patient Adherence, COMpliance, and Persistence (ESPACOMP) Medication Adherence Reporting Guideline (EMERGE) taxonomy in the Insulin Resistance Intervention after Stroke (IRIS) trial: initiation (did patient start drug), implementation (did patient take a drug holiday, defined as temporary cessation lasting ≥14 days), and persistence (did patient prematurely and permanently discontinue drug). IRIS was a randomized, placebo controlled, double-blind trial testing pioglitazone to prevent stroke or myocardial infarction in patients with a recent ischemic stroke or transient ischemic attack. Adherence was classified by self-report. Researchers used coaching algorithms to seek adherence recovery if participants went off drug.ResultsDuring 2005-2013, 3876 participants were enrolled from 179 sites in seven countries and followed for a mean of 4.8 years. Less than 1% of participants in each group did not initiate study drug. 20% of patients assigned to pioglitazone and 17% assigned to placebo took at least one drug holiday. 36% and 30%, respectively, discontinued the study drug prematurely with or without a prior holiday. The risk for stopping the study drug (temporarily or permanently) in the first year after randomization was twice the risk in each of the subsequent four years. This was true both for patients assigned to active therapy and placebo. More participants assigned to pioglitazone, compared to placebo, took a drug holiday or permanently stopped study drug, but the difference in rates of discontinuation was only evident in year one. In years two through five, rates of discontinuation were similar in the two treatment groups. The difference in rates during year one was the result of adverse effects related to the active study drug, pioglitazone. During the remainder of the trial, the attribution of discontinuations to adverse effects potentially related to pioglitazone was reduced but still higher in those assigned to active drug. Other reasons for discontinuation were similar between treatment groups and were largely unrelated to pharmacodynamic effects of the study drug. Rates of discontinuation varied widely among research sites.ConclusionPatients in a drug trial for stroke prevention are at greatest risk for premature drug discontinuation early after randomization. Reasons for discontinuation change over time. Variable discontinuation rates among sites suggests that adherence can be improved by using best practices from high-performing sites.
| S-EPMC7487071 | biostudies-literature
Project description:BackgroundStroke remains a leading cause of long-term disability and mortality worldwide, particularly in low- and middle-income countries where suboptimal management of modifiable risk factors such as hypertension and diabetes mellitus are prevalent. Poor medication adherence, a critical barrier to effective risk management, is widespread in Nigeria, with adherence rates below 50% in patients with chronic illnesses. This study evaluates the efficacy of a 12-week short message service (SMS)-based intervention in improving medication adherence, knowledge, and prevention practices among hypertensive and diabetic patients attending the Medical Outpatient Clinic at the University College Hospital, Ibadan, Nigeria.MethodologyA single-center randomized controlled trial was conducted with 150 participants aged 18 years and above and had a documented clinical diagnosis of hypertension and/or diabetes mellitus and currently being treated with a prescribed medication. The intervention group received bi-daily SMS reminders on medication adherence, lifestyle modifications, and stroke prevention, alongside standard care. The control group received standard care only. Outcomes assessed included change in medication adherence, knowledge, stroke prevention practices, and quality of life. A p value of 0.05 was used.ResultThe prevalence of hypertension and diabetes were 90.0% and 20.7% respectively; 16 individuals (10.7%) had comorbidity of hypertension and diabetes. There was a 14.7% increase in the proportion of participants with a high medication adherence in the intervention arm whereas the control arm had a 2.7% increase. This 5 times relative increase in proportion was however not statistically significant. The study showed a significant effect of the intervention on participants knowledge of stroke prevention (t = 3.339, p = 0.001). There was no significant impact of the intervention on self-rated health scores (t = 0.132; p = 0.896).ConclusionThe SMS intervention significantly improved stroke prevention knowledge and showed a non-significant trend towards better medication adherence. Baseline motivational and cultural factors likely influenced outcomes, underscoring the need to address behavioral, cultural and economic barriers. This scalable telehealth model warrants further exploration to optimize adherence in resource-limited settings.Clinical trial registrationThis study was registered on the 25th July and approved on 25th of August 2023 by the Pan African Clinical Trials Registry (PACTR) with unique identification number: PACTR202308767234235. The findings from this study are presented in accordance with the Consolidated Standards of Reporting Trials (CONSORT) statement.
| S-EPMC11924615 | biostudies-literature