Adherence to evidence-based secondary prevention pharmacotherapy in patients after an acute coronary syndrome: A systematic review

Achievement of Guideline-Recommended Targets for Secondary Prevention of Cardiovascular Disease in 38 Low-Income and Middle-Income Countries

BACKGROUND

This study aimed to estimate the prevalence of achieving the secondary prevention targets recommended in the World Health Organization (WHO) guidelines for cardiovascular disease (CVD) in 38 low-income and middle-income countries (LMICs).

METHODS

We pooled nationally representative cross-sectional surveys from 38 LMICs between 2013 and 2020. Treatment, metabolic and lifestyle targets were assessed for individuals with a self-reported history of CVD according to WHO's recommendations. Associations between the prevalence of guideline adherence and sociodemographic characteristics were assessed using multivariate Poisson regression models.

RESULTS

The pooled sample included 126 106 participants, of whom 9821 (6.8% [95% CI 6.4-7.2]) reported a history of CVD. Overall, the prevalence of achieving treatment targets in patients with CVD was 22.7% (95% CI, 21.0-24.5%) for antihypertensive drugs, 19.6% (17.9-21.4%) for aspirin, and 13.6% (12.0-15.44%) for statins. The prevalence of achieving metabolic targets was 54.9% (52.5-57.3%) for BMI, 39.9% (37.7-42.2%) for blood pressure, 46.1% (43.6-48.6%) for total cholesterol, and 84.9% (83.1-86.5%) for fasting blood glucose. The prevalence of achieving lifestyle targets was 83.2% (81.5-84.7%) for not smoking, 83.1% (81.2-84.9%) for not drinking, 65.5% (63.1-67.7%) for sufficient physical activity and 16.2% (14.5-18.0%) for healthy diet. Only 6.1% (5.1-7.4%) achieved three treatment targets, 16.0% (14.3-17.9%) achieved four metabolic targets, and 6.9% (5.8-8.0%) achieved four lifestyle targets. Upper-middle income countries were better than low-income countries at achieving the treatment, non-drinking and dietary targets. Being younger and female were associated with poorer achievement of metabolic targets.

CONCLUSION

In LMICs, achieving the targets recommended in the guideline for treatment, metabolism and healthy lifestyles for patients with CVD is notably low. This highlights an urgent need for effective, systematic secondary prevention strategies to improve CVD management.

The analysis of factors affecting medication adherence in patients with myasthenia gravis: a cross-sectional study

Background

Clinically, patients with myasthenia gravis are generally treated with drugs to improve their physical condition, and poor medication adherence can hinder their recovery. Many studies have shown the importance of medication adherence for effective treatment. Various factors may affect a patient's medication adherence; however, studies concerning medication adherence in patients with myasthenia gravis are rare.

Objectives

This study aimed to identify the factors related to medication adherence in patients with myasthenia gravis, and determine the possibility of predicting medication adherence.

Methods

This cross-sectional observational study was conducted among inpatients and outpatients with myasthenia gravis of the First Affiliated Hospital of Guangzhou University of Chinese Medicine in China. Data on patient demographics, disease-related characteristics, and medical treatment were collected. We evaluated medication adherence of the patients using the Morisky Medication Adherence Scale-8, Beliefs about Medicines Questionnaire, and the Self-efficacy for Appropriate Medication Use Scale.

Results

We distributed 200 questionnaires and finally retrieved 198 valid questionnaires. A total of 139 (70.2%) women participated in this study, and 81 (40.9%) among the 198 participants were aged 40-59 years. In total, 103 (52.0%) participants exhibited bad adherence to pharmacological treatment, and factors such as taking medication irregularly [odds ratio (OR) = 0.242, 95% CI = 0.093-0.627], the necessity of taking medicine (OR = 1.286, 95% CI = 1.142-1.449), the concerns of taking medicine (OR = 0.890, 95% CI = 0.801-0.988), and the self-efficacy for taking medications under difficult circumstances (OR = 1.194, 95% CI = 1.026-1.389) had statistically significant impacts on medication adherence.

Conclusion

Our study shows that taking medication irregularly and concerns of taking medicine are the risk factors for medication adherence. Meanwhile, the necessity of talking medicine and self-efficacy for taking medications under difficult circumstances are the protective factors for medication adherence. Our findings can help medical staff to enhance patients' medication adherence by informing patients necessary medical knowledge, emphasizing the necessity for medication, relieving patients' concerns regarding medication, and improving the self-efficacy for taking medications under difficult circumstances.

Medication adherence trajectory of patients with chronic diseases and its influencing factors: A systematic review

AIMS

To synthesize the published studies on medication adherence trajectories among patients with chronic diseases and identify the influencing factors.

DESIGN

Systematic review.

DATA SOURCES

Medline (Ovid), Embase (Ovid) and Web of Science core collection were searched from database inception to 1 July 2022.

REVIEW METHODS

Potentially eligible articles were independently screened by three reviewers using set inclusion and exclusion criteria. The Joanna Briggs Institute critical appraisal checklist for cohort studies was used to appraise the quality of the included articles. Three reviewers independently evaluated the quality, extracted data and resolved differences by consensus. Results were presented using descriptive synthesis, and the prevalence of recategorised medication adherence trajectories was calculated from the published data.

RESULTS

Fifty studies were included. Medication adherence trajectories among patients with chronic diseases were synthesized into six categories: adherence, non-adherence, decreasing adherence, increasing adherence, fluctuating adherence and moderate adherence. Low and moderate evidence showed that (1) patient-related factors, including age, sex, race, marital status and mental status; (2) healthcare team and system-related factors, including healthcare utilization, insurance and primary prescriber specialty; (3) socioeconomic factors including education, income and employment status; (4) condition-related factors including complications and comorbidities and (5) therapy-related factors including the number of medications, use of other medications, and prior medication adherence behaviours were factors influencing the medication adherence trajectory. Marital status and prior medication adherence behaviour were the only influencing factors with moderate evidence of an effect.

CONCLUSION

The medication adherence trajectory among patients with chronic diseases varied widely. Further studies are warranted to determine contributory factors.

IMPLICATIONS FOR THE PROFESSION

Healthcare providers should be aware that patients' medication adherence has different trajectories and should take appropriate measures to improve patients' medication adherence patterns.

PATIENT OR PUBLIC CONTRIBUTION

None. As a systematic review, patients and the public were not involved.

Efficacy of eHealth Technologies on Medication Adherence in Patients With Acute Coronary Syndrome: Systematic Review and Meta-Analysis

BACKGROUND

Suboptimal adherence to cardiac pharmacotherapy, recommended by the guidelines after acute coronary syndrome (ACS) has been recognized and is associated with adverse outcomes. Several randomized controlled trials (RCTs) have shown that eHealth technologies are useful in reducing cardiovascular risk factors. However, little is known about the effect of eHealth interventions on medication adherence in patients following ACS.

OBJECTIVE

The aim of this study is to examine the efficacy of the eHealth interventions on medication adherence to selected 5 cardioprotective medication classes in patients with ACS.

METHODS

A systematic literature search of PubMed, Embase, Scopus, and Web of Science was conducted between May and October 2022, with an update in October 2023 to identify RCTs that evaluated the effectiveness of eHealth technologies, including texting, smartphone apps, or web-based apps, to improve medication adherence in patients after ACS. The risk of bias was evaluated using the modified Cochrane risk-of-bias tool for RCTs. A pooled meta-analysis was performed using a fixed-effect Mantel-Haenszel model and assessed the medication adherence to the medications of statins, aspirin, P2Y12 inhibitors, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, and β-blockers.

RESULTS

We identified 5 RCTs, applicable to 4100 participants (2093 intervention vs 2007 control), for inclusion in the meta-analysis. In patients who recently had an ACS, compared to the control group, the use of eHealth intervention was not associated with improved adherence to statins at different time points (risk difference [RD] -0.01, 95% CI -0.03 to 0.03 at 6 months and RD -0.02, 95% CI -0.05 to 0.02 at 12 months), P2Y12 inhibitors (RD -0.01, 95% CI -0.04 to 0.02 and RD -0.01, 95% CI -0.03 to 0.02), aspirin (RD 0.00, 95% CI -0.06 to 0.07 and RD -0.00, 95% CI -0.07 to 0.06), angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (RD -0.01, 95% CI -0.04 to 0.02 and RD 0.01, 95% CI -0.04 to 0.05), and β-blockers (RD 0.00, 95% CI -0.03 to 0.03 and RD -0.01, 95% CI -0.05 to 0.03). The intervention was also not associated with improved adherence irrespective of the adherence assessment method used (self-report or objective).

CONCLUSIONS

This review identified limited evidence on the effectiveness of eHealth interventions on adherence to guideline-recommended medications after ACS. While the pooled analyses suggested a lack of effectiveness of such interventions on adherence improvement, further studies are warranted to better understand the role of different eHealth approaches in the post-ACS context.

Secondary Prevention and Extreme Cardiovascular Risk Evaluation (SEVERE-1), Focus on Prevalence and Associated Risk Factors: The Study Protocol

INTRODUCTION

Despite significant improvement in secondary CardioVascular (CV) preventive strategies, some acute and chronic coronary syndrome (ACS and CCS) patients will suffer recurrent events (also called "extreme CV risk"). Recently new biochemical markers, such as uric acid (UA), lipoprotein A [Lp(a)] and several markers of inflammation, have been described to be associated with CV events recurrence. The SEcondary preVention and Extreme cardiovascular Risk Evaluation (SEVERE-1) study will accurately characterize extreme CV risk patients enrolled in cardiac rehabilitation (CR) programs.

AIM

 Our aims will be to describe the prevalence of extreme CV risk and its association with newly described biochemical CV risk factors.

AIM

Our aims will be to describe the prevalence of extreme CV risk and its association with newly described biochemical CV risk factors.

METHODS

We will prospectively enrol 730 ACS/CCS patients at the beginning of a CR program. Extreme CV risk will be retrospectively defined as the presence of a previous (within 2 years) CV events in the patients' clinical history. UA, Lp(a) and inflammatory markers (interleukin-6 and -18, tumor necrosis factor alpha, C-reactive protein, calprotectin and osteoprotegerin) will be assessed in ACS/CCS patients with extreme CV risk and compared with those without extreme CV risk but also with two control groups: 1180 hypertensives and 765 healthy subjects. The association between these biomarkers and extreme CV risk will be assessed with a multivariable model and two scoring systems will be created for an accurate identification of extreme CV risk patients. The first one will use only clinical variables while the second one will introduce the biochemical markers. Finally, by exome sequencing we will both evaluate polygenic risk score ability to predict recurrent events and perform mendellian randomization analysis on CV biomarkers.

CONCLUSIONS

Our study proposal was granted by the European Union PNRR M6/C2 call. With this study we will give definitive data on extreme CV risk prevalence rising attention on this condition and leading cardiologist to do a better diagnosis and to carry out a more intensive treatment optimization that will finally leads to a reduction of future ACS recurrence. This will be even more important for cardiologists working in CR that is a very important place for CV risk definition and therapies refinement.

Perceptions of generic medicines and medication adherence after percutaneous coronary intervention: a prospective multicentre cohort study

OBJECTIVE

To determine patient perceptions of generic medicines 2 and 6 months after percutaneous coronary intervention (PCI), and to determine whether these perceptions moderate medication adherence.

DESIGN

Prospective multicentre cohort study with repeated measures of perceptions of generic medicines and medication adherence.

SETTING

The CONCARD^PCI study conducted at seven large referral PCI centres in Norway and Denmark between June 2017 and May 2020.

PARTICIPANTS

A total of 3417 adults (78% men), using both generic and brand name medicines, with a mean age of 66 years (SD 11) who underwent PCI were followed up 2 and 6 months after discharge from hospital.

MAIN OUTCOME MEASURES

Perceptions of generic medicines were the main outcome. The secondary outcome was medication adherence.

RESULTS

Perceptions of generic medicines were significantly more negative at 2 than at 6 months (1.10, 95% CI 0.41 to 1.79, p=0.002). Female sex (-4.21, 95% CI -6.75 to -1.71, p=0.001), older age (-0.12, 95% CI -0.23 to -0.02, p=0.020), lower education level (overall p<0.001), ethnicity (overall p=0.002), Norwegian nationality (10.27, 95% CI 8.19 to 12.40, p<0.001) and reduced self-reported health status (0.19, 95% CI 0.09 to 0.41, p=0.003) were significantly associated with negative perceptions of generic medicines. There was no evidence to suggest that perceptions of generic medicines moderate the association between sociodemographic and clinical variables and medication adherence (p≥0.077 for all covariates). Moreover, self-reported medication adherence was high, with 99% scoring at or above the Medication Adherence Report Scale midpoint at both time points. There were no substantial correlations between negative perceptions of generic medicines and medication non-adherence at 2 months (r=0.041, 95% CI 0.002 to 0.081, p=0.037) or 6 months (r=0.038, 95% CI -0.005 to 0.081, p=0.057).

CONCLUSIONS

Mistrust and uncertainty about the safety and efficacy of generic medicines remains in a sizeable proportion of patients after PCI. This applies especially to those of lower socioeconomic status, older age, female sex, immigrants and those with poorer mental health. However, this study demonstrated a shift towards more positive perceptions of generic medicines in the longer term.

Assessing Concurrent Adherence to Combined Essential Medication and Clinical Outcomes in Patients With Acute Coronary Syndrome. A Population-Based, Real-World Study Using Group-Based Trajectory Models

Aim

Adherence to multiple medications recommended for secondary prevention of cardiovascular conditions represents a challenge. We aimed to identify patterns of concurrent adherence to combined therapy and assess their impact on clinical outcomes in a cohort of patients with acute coronary syndrome (ACS).

Methods

Population-based retrospective cohort of all patients discharged after hospitalization for ACS (2009–2011), prescribed ≥3 therapeutic groups within the first month. We assessed monthly concurrent adherence (≥24 days of medication out of 30) to ≥3 medications during the first year, and patterns were identified through group-based trajectory models. A composite clinical outcome during the second year was constructed. The association between adherence patterns and traditional refill adherence metrics [e.g., the proportion of days covered (PDC)], and outcomes were assessed through a multivariable Cox proportional hazards model.

Results

Among 15,797 patients discharged alive, 12,057 (76.32%) initiated treatment with ≥3 therapeutic groups after discharge. We identified seven adherence trajectories to ≥3 medications: Adherent (52.94% of patients); Early Gap (6.64%); Middle Gap (5.67%); Late Decline (10.93%); Occasional Users (5.45%); Early Decline (8.79%); Non-Adherent (9.58%). Compared to the Adherent group, patients belonging to Early Gap (HR:1.30, 95%CI 1.07;1.60), Late decline (hazards ratio (HR): 1.31, 95% CI 1.1; 1.56), and Non-Adherent trajectories (HR: 1.36, 95% CI 1.14; 1.63) had a greater risk of adverse clinical outcomes, which was also different to the risk ascertained through concurrent PDC < 80 (HR: 1.13, 95% CI 1.01; 1.27).

Conclusion

Overall, seven adherence trajectories to ≥3 drugs were identified, with three distinct adherence patterns being at higher risk of adverse outcomes. The identification of patterns of concurrent adherence, a more comprehensive approach than traditional measurements, may be useful to target interventions to improve adherence to multiple medications.

The influence of patient expectations on adherence to treatment regimen after myocardial infarction

OBJECTIVE

In-hospital patient education is one of the elements affecting patient adherence to treatment regimen after myocardial infarction (MI). Its effectiveness is determined by educator and patient-dependent factors. Previous studies did not identify patient expectations as an independent determinant of successful education. The aim of this study was to assess whether patient knowledge and expectations affect adherence to treatment regimen in a 1-year follow-up.

METHODS

This was a single-center, cohort study with a 1-year follow-up. Patient knowledge and expectations were evaluated using the Readiness for Hospital Discharge after Myocardial Infarction Scale (RHD-MIS scale). Medication adherence (including angiotensin converting enzyme inhibitors (ACEI), P2Y12 receptor inhibitors and statins) was verified based on prescription refill data extracted from The National Health Fund database.

RESULTS

The study included 225 patients aged 30-91 years (mean age 62.9 ± 11.9 years). In the 4th quarter of follow-up, patients with the highest expectations had lower adherence regarding ACEI (p = 0.01), P2Y12 receptor inhibitors (p = 0.03) and the combination of all three analysed medications (p = 0.003).

CONCLUSIONS

The initial results suggest presence of a relationship between patient expectations and long-term adherence to treatment.

PRACTICE IMPLICATIONS

Post-MI patient education directed at fulfilling or modification of patient expectations could possibly improve execution of treatment regimen.

Medication adherence, recall periods and factors affecting it: A community-based assessment on patients with chronic diseases in urban slums

OBJECTIVE

To evaluate medication adherence, the effect of recall periods on self-reported adherence and factors influencing medication adherence among patients of chronic diseases, such as hypertension and diabetes, particularly in the community.

METHODS

A cross-sectional cohort study was conducted among individuals with hypertension and/or diabetes coming as outpatients in community camps organised in a cluster of urban slums. Responses towards questions regarding self-reported quantitative and qualitative adherence for one week and one month along with information on pill burden, socio-demographic and other factors were recorded using a mobile application.

RESULTS

Among 379 participants living in urban slum communities, who were prescribed anti-hypertensive or oral anti-diabetic medications previously, mean medication adherence over previous one week was 67.99% (standard deviation (SD) ± 38.32) and 6.87 (SD ± 3.62) on a ten-point numeric scale. The medication adherence for one month showed a strong significantly positive correlation with that of 1 week for both percentage-based (r = +0.910, 95% CI = 0.864 to 0.950, P < .0001) and Likert (ρ = +0.836, 95% CI = 0.803 to 0.863, P < .0001) scales. Age (r = 0.219, 95% CI = 0.120 to 0.313, P = .043) and pill burden (r = -0.231, 95% CI = -0.145 to -0.322, P < .0001) were found to significantly affect medication adherence. The odds of random blood sugar reduction were found to be significant (OR 1.98, 95% CI = 1.30 to 3.00, P = .001) with adequate adherence. A linear regression equation was developed to predict medication adherence percentage for a patient which was found to have 61.8% predictive power using multilayer perceptron modelling.

CONCLUSION

Overall, medication adherence was sub-optimal. Adherence assessments can be reliably performed using either one week or one month recall periods. With further refinement and validation, the regression equation could prove to be a useful tool for physicians.

Medication Adherence and Patients' Characteristics in Chronic Diseases: A National Multi-Center Study

Chronic diseases constitute a significant threat to health. Worldwide, medication adherence in chronic diseases remains unsatisfactory. Understanding factors affecting adherence is essential. This study examined medication adherence by characteristics of patients with chronic diseases. This cross-sectional study included 800 patients. The Adherence to Chronic Diseases Scale was used to measure adherence. Descriptive statistics and logistic regression was used to examine factors influencing medication adherence. Low adherence was found in 19.5% of the patients, 45% had medium adherence, and 35.5% had high adherence. Logistic regression showed that retired (OR 0.496, 95% CI [0.33-0.75]), having COPD (OR 0.460, 95% CI [0.32-0.67]) and duration of disease ≤5 years (OR 1.554, 95% CI [1.11-2.17]) remain independent predictors for high adherence. Mixed findings regarding the relationship between medication adherence and patients' characteristics were noticed. Patients' characteristics should be examined with the individual population when examining and attempting to improve medication adherence in clinical practice.

Patterns of Adherence to Secondary Prevention Measures Among Chinese Patients With Coronary Artery Disease: A Longitudinal Study

BACKGROUND

Adherence to secondary prevention measures among patients with coronary artery disease (CAD) affects patient prognosis, whereas patients' adherence behaviors change over time.

OBJECTIVES

The aims of this study were to identify adherence trajectories to secondary prevention measures including medication-taking and a heart-healthy lifestyle and to estimate predictors of adherence trajectories among patients with CAD.

METHODS

This longitudinal study enrolled 698 patients with CAD who received a percutaneous coronary intervention in China. Demographics, clinical characteristics, adherence to secondary prevention measures, and patient-related factors including disease knowledge, self-efficacy, and health literacy were measured during hospitalization. Adherence behaviors were followed at 1, 3, and 6 months, and 1 year after discharge. Group-based trajectory models estimated adherence trajectories, and multinomial logistic regression identified trajectory group predictors.

RESULTS

Four trajectory groups were identified for medication-taking adherence: sustained adherence (39.9%), increasing and then decreasing adherence (23.1%), increasing adherence (23.4%), and nonadherence (13.6%). The 3 adherence trajectory groups for a heart-healthy lifestyle were sustained adherence (59.7%), increasing adherence (28.3%), and nonadherence (12.0%). Married patients were more likely (odds ratio [OR], 3.42; 95% confidence interval [CI], 1.56-7.52) to have sustained adherence to medication-taking. However, patients with higher disease knowledge were less likely (OR, 0.93; 95% CI, 0.87-0.99) to be adherent. Patients who were not working (OR, 2.25; 95% CI, 1.03-4.92) had higher self-efficacy (OR, 1.21; 95% CI, 1.08-1.37). Those with higher health literacy (OR, 1.18; 95% CI, 1.01-1.38) were more likely to have sustained adherence to a heart-healthy lifestyle. However, patients having no coronary stents (OR, 0.36; 95% CI, 0.19-0.70) were less likely to have done so.

CONCLUSIONS

Trajectories of adherence to secondary prevention measures among mainland Chinese patients with CAD are multipatterned. Healthcare providers should formulate targeted adherence support, which considers the influence of disease knowledge, self-efficacy, and health literacy.

Adherence to Medical Treatment in Elderly Patients with Coronary Artery Disease in the Settings of Primary Outpatient Care

Aim. To study medication adherence in elderly patients with coronary artery disease (CAD) in primary care practice.

Material and methods. The study conducted in out-patient clinic of Moscow city. 293 elderly (≥65 years) patients with established CAD included. The following patient data obtained via electronic medical record system: demography, medical history, modifiable risk factors and prescribed pharmacotherapy. Level of medication adherence measured by Morisky scale (MMAS-8) via telephone survey.

Results. According to Morisky scale high adherence was identified in 146 (49.8%) elderly patients, moderate adherence – in 99 (33.8%) patients, low adherence – in 48 (16.4%) patients. Analysis of specific questions of the scale done in non-adherent patients revealed signs of unintentional non-adherence due to forgetfulness (45.9%) and signs of intentional non-adherence due to patients feeling worse (35.8%) or better (28.4%). By means of dichotomic interpretation of Morisky scale results the population under research was divided into two groups: 147 (50.2%) non-adherent patients and 146 (49.8%) – totally adherent patients. These groups were comparable in terms of sex (female 71.2 vs 68.0%; p>0.05) and age (median 73.5 vs 73.0 years; p>0.05) distribution, and medical history: myocardial infarction (39.0% vs 38.8%), atrial fibrillation (37.0 and 41.5%), chronic heart failure (90.4% vs 91.2%), diabetes (26.7% vs 24.5%). There were fewer smokers in adherent group (0.7% vs 6.5%; p<0.05). As primary antianginal pharmacotherapy adherent and non-adherent patients were equally prescribed beta-blockers (75.3% vs 75.5%; p>0.05). Drugs that improve prognosis were also prescribed comparably: antiplatelets (66.4% vs 61.9%; p>0.05), anticoagulants (36.3% vs 44.9%; p>0.05), statins (82.2% vs 79.6%; p>0.05), renin-angiotensin system inhibitors (89.0 and 87.8%; p>0.05). Adherent patients had lower mean values of lipids: total cholesterol (4.7±1.2 vs 5.2±1.4 mmol/l; p<0.05) and low density cholesterol (2.4±0.9 vs 2.8±1.2 mmol/l; p<0.05). Non-adherent elderly patients made more visits to general practitioner (median 5 vs 3 visits; p<0.05). Share of patients receiving drugs within supplementary pharmaceutical provision program was comparable in both groups (53.7% vs 50.7%; p>0.05).

Conclusion. Half of elderly patients with CAD are non-adherent to treatment in primary care setting. Medical history and structure of pharmacotherapy do not influence level of adherence in this population. Among adherent patients fewer individuals smoke and mean values of lipids are lower. Non-adherent elderly patients cause higher load on general practitioner, supplementary pharmaceutical provision program provided no better adherence in the population under research.

Agreement and Accuracy of Medication Persistence Identified by Patient Self-report vs Pharmacy Fill: A Secondary Analysis of the Cluster Randomized ARTEMIS Trial

Importance

Pharmacy fill data are increasingly accessible to clinicians and researchers to evaluate longitudinal medication persistence beyond patient self-report.

Objective

To assess the agreement and accuracy of patient-reported and pharmacy fill-based medication persistence.

Design, Setting, and Participants

This post hoc analysis of the cluster randomized clinical trial ARTEMIS (Affordability and Real-world Antiplatelet Treatment Effectiveness After Myocardial Infarction Study) enrolled patients at 287 US hospitals (131 randomized to intervention and 156 to usual care) from June 5, 2015, to September 30, 2016, with 1-year follow-up and blinded adjudication of major adverse cardiovascular events. In total, 8373 patients with myocardial infarction and measurement of P2Y12 inhibitor persistence by both patient self-report and pharmacy data were included. Serum P2Y12 inhibitor drug levels were measured for 944 randomly selected patients. Data were analyzed from May 2018 to November 2019.

Interventions

Patients treated at intervention-arm hospitals received study vouchers to offset copayments at each P2Y12 inhibitor fill for 1 year after myocardial infarction.

Main Outcomes and Measures

Nonpersistence was defined as a gap of 30 days or more in P2Y12 inhibitor use (patient report) or supply (pharmacy fill) and as serum P2Y12 inhibitor levels below the lower limit of quantification (drug level). Among patients in the intervention arm, a "criterion standard" definition of nonpersistence was a gap of 30 days or more in P2Y12 inhibitor use by both voucher use and pharmacy fill. Major adverse cardiovascular events were defined as adjudicated death, recurrent myocardial infarction, or stroke.

Results

Of 8373 patients included in this analysis, the median age was 62 years (interquartile range, 54-70 years), 5664 were men (67.7%), and 990 (11.8%) self-reported as nonwhite race/ethnicity. One-year estimates of medication nonpersistence rates were higher using pharmacy fills (4042 patients [48.3%]) compared with patient self-report (1277 patients [15.3%]). Overall, 4185 patients (50.0%) were persistent by both pharmacy fill data and patient report, 1131 patients (13.5%) were nonpersistent by both, and 3057 patients (36.5%) were discordant. By application of the criterion standard definition, the 1-year nonpersistence rate was 1184 of 3703 patients (32.0%); 892 of 3318 patients (26.9%) in the intervention arm who self-reported persistence were found to be nonpersistent, and 303 of 1487 patients (20.4%) classified as nonpersistent by pharmacy fill data were actually persistent. Agreement between serum P2Y12 inhibitor drug levels and either patient-reported (κ = 0.11-0.23) or fill-based (κ = 0.00-0.19) persistence was poor. Patients who were nonpersistent by both pharmacy fill data and self-report had the highest 1-year major adverse cardiac event rate (18.3%; 95% CI, 16.0%-20.6%) compared with that for discordant patients (9.7%; 8.7%-10.8%) or concordantly persistent patients (8.2%; 95% CI, 7.4%-9.0%).

Conclusions and Relevance

Patient report overestimated medication persistence rates, and pharmacy fill data underestimated medication persistence rates. Patients who are nonpersistent by both methods have the worst clinical outcomes and should be prioritized for interventions that improve medication-taking behavior.

Trial Registration

ClinicalTrials.gov Identifier: NCT02406677.

Medication adherence and its determinants in patients after myocardial infarction

Non-adherence to prescribed medication is a serious limitation of long-term treatment in patients after myocardial infarction (MI), which can be associated with medical, social and economical consequences. Improvement of medication adherence has been shown to be a challenge for healthcare providers. The aim of this study was to evaluate changes in medication adherence and variability of adherence determinants during follow-up in patients after MI. A single-center, cohort observational study was conducted in 225 post-MI patients treated with primary coronary intervention (PCI) (27% women and 73% men) aged 30–91 years. Adherence was defined as availability of evaluated drugs within 1-year after discharge from hospital, based on completed prescriptions data obtained from the National Health Fund. The analysis of therapeutic plan realization (adherence to medication prescribed at discharge from hospital) embraced only reimbursed drugs: ACEIs (ramipril, perindopril), P2Y12 receptor inhibitors (clopidogrel) and statins (atorvastatin, simvastatin, rosuvastatin). Sufficient adherence was defined as ≥ 80%. During 1-year follow-up, adherence for all three drug classes was 64 ± 25%, with 67 ± 32% for ACEIs, 62 ± 34% for P2Y12 receptor inhibitor and 64 ± 32% for statins. A gradual decline in adherence was observed from 65% ± 26% in the first quarter of follow-up to 51% ± 34% in the last quarter of follow-up (p < 0.00001). Sufficient adherence for all drugs classes was found only in 29% of patients throughout the whole follow-up period (44% for ACEI, 36% for P2Y12 receptor inhibitor and 41% for statins). According to a multivariate analysis, age, prior CABG, level of education, place of residence, economic status and marital status were independent predictors of drug adherence. Whereas patients > 65 years and having a history of prior CABG more often had an insufficient adherence to drugs, married and hypertensive patients, city inhabitants and patients with higher education tended to have a sufficient drug adherence. Adherence to pharmacotherapy after myocardial infarction decreases over time in a similar manner for all pivotal groups of drugs prescribed after MI. A number of socioeconomic and clinical factors have been identified to affect medication adherence over time.

“Estableciendo vínculos dialógicos que alivian”: una mirada desde el patrón estético

Introducción: La enfermedad cardiovascular es la segunda causa de morbimortalidad en el mundo, genera carga social y económica. La falta de adherencia a los medicamentos cardiovasculares está asociada con múltiples riesgos. Objetivo: Describir la categoría: Estableciendo vínculos dialógicos que alivian desde el patrón estético Materiales y Métodos: Investigación cualitativa con enfoque en la teoría fundamentada basado en Corbin y Strauss. Participaron 12 personas, la recolección de la información fue la entrevista en profundidad. En el análisis se codifico, línea por línea los textos, se etiquetaron códigos, que dieron origen a las subcategorías y categorías, luego se direccionó a examinar los datos de forma teórica, se integró y refinó la categoría. Resultados: Estableciendo vínculos dialógicos que alivian, compuesta por las subcategorías: Experimentado clima de afecto y confianza para el aprendizaje: creando empatía; Estableciendo conexiones de cuidado que dan satisfacción y construyendo sentimientos positivos del encuentro dialógico. Discusión: El establecimiento de vínculos dialógicos que alivian hace parte del conocimiento estético, uno de los patrones de conocimiento identificados por Carper, descrito como "arte de la enfermería”. Se caracteriza por ser intangible, y no va más allá del contexto de la experiencia personal de cada individuo. Conclusiones: El vínculo dialógico que alivia, es un encuentro genuino que permite interacción creativa enfermera-paciente. Este se experimenta a través de palabras y gestos que expanden la conciencia del ser humano que vive la experiencia de la enfermedad coronaria y requiere de tratamiento de uso crónico para mantener su control. Como citar este artículo: Arango Restrepo María Cristina, Salazar Maya Angela María. Estableciendo vínculos dialógicos que alivian”: una mirada desde el patrón estético. Revista Cuidarte. 2020; 11(2): e1086. http://dx.doi.org/10.15649/cuidarte.1086

Long-Term Quality of Prescription for ST-Segment Elevation Myocardial Infarction (STEMI) Patients: A Real World 1-Year Follow-Up Study

AIM

American and European associations of cardiology published specific guidelines about recommended drugs for secondary prevention in ST-segment elevation myocardial infarction (STEMI) patients. Our aim was to assess whether drug prescription for STEMI patients was in accordance with the guidelines at discharge and after 1 year.

METHOD

We used data of 361 patients admitted for STEMI in a tertiary hospital in Switzerland from 2014 to 2016. We assessed the adequacy of prescription of recommended drugs at two time points: discharge and after 1 year. Medications assessed were aspirin, P2Y12 inhibitors, statin, angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin receptor blockers (ARBs) and β-blockers. We took into account several criteria like statin dosage (low versus high intensity) and presence of contraindication for consideration of optimal therapy. Predictors of incomplete prescription of guideline medications were then assessed with multivariate logistic regression models.

RESULTS

From discharge (n = 358) to 1-year follow-up (n = 303), rate of optimal prescription was reduced from 98.6 to 91.7% for aspirin, from 93.9 to 79.1% for P2Y12 inhibitors, from 83.8 to 65.7% for statins, from 98.6 to 95.6% for ACEIs/ARBs, and from 97.1 to 96.9% for β-blockers. Predictors of incomplete prescription of guideline medications at discharge were female sex (odds ratio [OR] 2.54, p = 0.007), active or former smoker status (OR 2.29, p = 0.017), multivessel disease (OR 2.07, p = 0.022), left ventricular ejection fraction < 40% (OR 2.49, p = 0.008), and transfer to cardiac surgery (OR 9.66, p = 0.018). At 1 year, age > 65 (OR 1.92, p = 0.036) remained the only significant predictor.

CONCLUSION

The present study showed a high prescription rate of guideline-recommended medications in a referral center for primary percutaneous coronary intervention. At discharge, women and co-morbid patients were at the highest risk of incomplete prescription of guideline medications, whereas long-term prescription was suboptimal for elderly. A drug lacking at time of discharge was rarely introduced within the year, which underscores the paramount importance of optimal prescription at time of discharge. Strategies like implementing a standardized prescription could reduce the proportion of suboptimal prescription. It could therefore be one way to improve the long-term quality of care of our patients to the highest level. This study used local data from AMIS Plus-National Registry of Acute Myocardial Infarction in Switzerland (NCT01305785).

Medication adherence influencing factors-an (updated) overview of systematic reviews

BACKGROUND

Non-adherence negatively affects the efficacy, safety and costs of therapies. Non-adherence is a multifactorial problem. This systematic review (SR) of SRs (overview) aims to identify factors that can influence the adherence of adult patients with chronic physical diseases.

METHODS

We performed a systematic literature search in MEDLINE and Embase on June 13, 2018. We included SRs on the factors that can influence adherence in adult patients taking oral medications for treating physical chronic diseases. Two reviewers independently selected studies according to pre-defined inclusion criteria. Two reviewers independently assessed the risk of bias with the ROBIS tool. Data were extracted in standardized tables previously piloted by one reviewer and verified by a second reviewer. We synthesized data in tables in a structured narrative manner.

RESULTS

We included 21 SRs on eight different conditions. We rated eight SRs to be at low risk of bias and 13 to be at high risk of bias. Although higher education, employment, higher financial status and marriage/partnership mostly showed a positive effect on adherence, the impact was unclear because of the high uncertainty of the underlying evidence. The evidence indicates that socioeconomic status and social support might have a positive impact on adherence and that belonging to an ethnic minority might have a negative impact on adherence. Therapy-related factors (e.g., intake regime) and disease-related factors (e.g., duration) mostly showed no impact on adherence. Analysis of gender showed inconsistent results. Age might have a concave relation to adherence, i.e., adherence is lowest in very young and very old people. Depression has a negative impact on adherence. Impacts of other mental and physical comorbidities were uncertain. Co-payments (any or higher) have a negative impact on adherence. In contrast, the impacts of medication costs and insurance status were uncertain.

CONCLUSION

This overview analyses factors that might impact adherence to oral therapies in adult patients with physical chronic diseases. Our overview suggests that there is a social gradient in adherence. However, for most factors, the evidence was not conclusive due to the risk of bias, inconsistency or imprecision.

Adherence to cardiovascular medication: a review of systematic reviews

BACKGROUND

Use of cardiovascular medication has increased over time, especially for primary and secondary prevention, with polypharmacy common.

METHODS

Review of published systematic reviews of the factors and outcomes associated with adherence to cardiovascular medication using MEDLINE, Embase, CINAHL and PsycINFO databases. Quality was assessed using the AMSTAR tool.

RESULTS

Of 789 systematic reviews identified, 45 met the inclusion criteria and passed the quality assessment; 34 focused on factors associated with adherence, and 11 on outcomes. High heterogeneity, both between and within reviews, precluded meta-analysis and so a pooled estimate of adherence levels could not be derived. Adherence was associated with disease factors, therapy factors, healthcare factors, patient factors and social factors, though with some inconsistencies. In total, 91% of reviews addressing outcomes reported that low adherence was associated with poorer clinical and economic endpoints.

CONCLUSIONS

Factors from across five key domains relate to non-adherence to cardiovascular medications, and may contribute to poorer clinical outcomes. Interventions to improve adherence should be developed to address modifiable factors and targeted at those at highest risk of non-adherence. Adherence research is highly heterogeneous to-date and efforts to standardize this should be implemented to improve comparability.

Improving patient adherence to secondary prevention medications 6 months after an acute coronary syndrome: observational cohort study

BACKGROUND

Most patients are recommended secondary prevention pharmacotherapies following an acute coronary syndromes (ACS).

AIM

To identify predictors of adherence at 6 months and strategies to improve adherence to these therapies.

METHODS

Patients in the CONCORDANCE registry who were discharged on evidence-based medications were stratified into those receiving ≥75% ('adherent') or <75% ('non-adherent') of indicated medications at 6 months. Baseline characteristics, hospital and post-discharge care were compared between groups. Multivariable logistic analysis identified independent predictors of adherence. The relative contribution of each clinical or treatment factor to 'adherence' was determined using an adequacy measure method.

RESULTS

Follow-up data were available for 6595 patients, 4492 (68.1%) of whom were 'adherent'. Clinical factors predictive of adherence included previous stroke, percutaneous coronary intervention (PCI) and hypertension (odds ratios (OR) 1.36-1.56); factors predictive of non-adherence included discharge diagnosis of non-ST-segment elevation myocardial infarction (vs unstable angina) (OR 0.51) and atrial fibrillation (OR 0.59). Discharge on ≥75% of indicated medications was a strong predictor of adherence at 6 months (OR 10.23, 95% confidence interval 7.89-13.27); in-hospital management factors predicting non-adherence were medical management alone (OR 0.34) and coronary artery bypass graft (OR 0.50) (both vs PCI). Post-discharge predictors of adherence included cardiac rehabilitation (OR 1.36) and general practitioner attendance (OR 1.40).

CONCLUSION

Failure to discharge patients on indicated therapies is the most important modifiable predictor of adherence failure 6 months after an ACS. Implementing protocols to automate prescription of indicated discharge therapies, has the potential to reduce non-adherence dramatically in the 6 months following discharge.

Early occurrence of drug intolerance as risk factor during follow-up in patients with acute coronary syndrome or coronary revascularization

Aims

The occurrence of drug intolerance (DI) after an acute coronary syndrome (ACS) or percutaneous coronary intervention (PCI) is an important reason for quitting treatment. Nevertheless, the association between DI and major cardiac and cerebrovascular events (MACCE) is poorly reported in the literature, therefore, we analysed potential relationship between DI and MACCE (a composite of ACS, PCI, heart failure, and stroke) during follow-up.

Methods and results

From 1 January 2014 to 31 December 2015, 891 consecutive patients after ACS or coronary revascularization were referred to cardiac rehabilitation (CR) programme and included in a dedicated registry where DI was analysed and treatment appropriately tailored. Three hundred and nine patients (34.7%) developed DI, 26.9% of them were female. Angiotensin-converting enzyme (ACE) inhibitors and statins were the most frequent drugs which caused DI, followed by beta-blockers and calcium channel blockers, in 13.1%, 12.8%, 7.5%, and 5.5% of patients, respectively. During a median follow-up of 18 (interquartile range 11-24) months after CR, MACCE occurred in 14.1% of patients with DI and 8.1% without DI (P = 0.007). At multivariable model, DI to 1 drug [odds ratio (OR) 1.8, 95% confidence interval (CI) 1.01-3.18; P = 0.043] or to 2 drugs (OR 2.56, 95% CI 1.27-5.17; P = 0.008) were independently associated to MACCE. Regarding the association of specific class of prognostic drugs to MACCE, only DI to ACE-inhibitors was independently associated with MACCE (OR 2.31, 95% CI 1.14-4.65; P = 0.019).

Conclusion

DI was frequently encountered in real-world clinical practice and was significantly associated with MACCE during follow-up. This study suggests that early occurrence of DI could be considered to be an adjunctive cardiovascular risk factor during secondary prevention.

Underuse of Effective Cardiac Medications Among Women, Middle-Aged Adults, and Racial/Ethnic Minorities With Coronary Artery Disease (from the National Health and Nutrition Examination Survey 2005 to 2014)

Given the proven effectiveness of several cardiac medications for patients with coronary artery disease (CAD), we examined the national use of 4 classes of effective medications, overall and by age, sex, and race/ethnicity in 2005 to 2014. We used data from the National Health and Nutrition Examination Survey, including a self-reported diagnosis of CAD and independently verified medication use. Weighting procedures extrapolated our data to the adult US population with CAD. Analyses included 1,789 US adults aged ≥45 years with a history of CAD. The average age of this population was 68 years; 40% were women and 79% were non-Hispanic whites. In 2005 to 2014, 53.2% (standard error [SE] = 1.5) reported use of angiotensin-converting enzyme inhibitor/angiotensin receptor blockers, 58.5% (SE = 1.5) β blockers, and 67.2% (SE = 1.4) statins. Two of these medications were used by 64.1% (SE = 1.5) of the study population and all 3 by 29.1% (SE = 1.3). In 2011 to 2014, 68.5% (SE = 2.4) of American adults with a history of CAD reported use of aspirin. The use of statins increased from 63.1% in 2005/2006 to 76.8% in 2013/2014. Adults aged 45 to 64 years old, women, and racial/ethnic minorities had lower use of effective cardiac medications compared with older adults, men, and non-Hispanic whites. In conclusion, the use of statins, but not other medications, has increased over the past 10 years among American adults with previously diagnosed CAD. Continued targeted efforts are needed to increase the receipt of effective cardiac medications among all US adults with CAD, especially those aged 45 to 64 years, women, and racial/ethnic minorities.

Recording a diagnosis of stroke, transient ischaemic attack or myocardial infarction in primary healthcare and the association with dispensation of secondary preventive medication: a registry-based prospective cohort study

OBJECTIVES

The aim of this study was to explore whether recording in primary care of a previously recorded hospital diagnosis was associated with increased patient utilisation of recommended medications.

DESIGN

Registry-based prospective cohort study.

SETTING AND PARTICIPANTS

19 072 patients with a hospital discharge diagnosis of transient ischaemic attack (TIA), stroke or acute coronary syndrome from hospitals in Stockholm County 2010-2013 were included in the study.

MAIN OUTCOME MEASURE

The outcome of the study was medication dispensation as a marker of adherence to recommended medications. Adherence was defined as having had at least two filled prescriptions in the third year following hospital discharge.

RESULTS

Recording a diagnosis was associated with higher utilisation of all recommended medications with the exception of antihypertensives in patients with TIA. The differences between the groups with and without a recorded diagnosis remained after adjusting for age, sex, index year and visits to private practitioners. Dispensation of antithrombotics was high overall, 80%-90% in patients without a recorded diagnosis and 90%-94% for those with a diagnosis. Women with recorded ischaemic stroke/TIA/acute coronary syndrome were dispensed more statins (56%-71%) than those with no recorded diagnosis (46%-59%). Similarly, 68%-83% of men with a recorded diagnosis were dispensed statins (57%-77% in men with no recorded diagnosis). The rate of diagnosis recording spanned from 15% to 47% and was especially low in TIA (men 15%, women 16%).

CONCLUSION

Recording a diagnosis of TIA/stroke or acute coronary syndrome in primary care was found to be associated with higher dispensation of recommended secondary preventive medications. Further study is necessary in order to determine the mechanisms underlying our results and to establish the utility of our findings.

Nurse-led telephone-based follow-up of secondary prevention after acute coronary syndrome: One-year results from the randomized controlled NAILED-ACS trial

Background

Secondary prevention after acute coronary syndrome (ACS) could reduce morbidity and mortality, but guideline targets are seldom reached. We hypothesized that nurse-led telephone-based intervention would increase adherence.

Methods

The NAILED ACS trial is a prospective, controlled, randomized trial. Patients admitted for ACS at Östersund hospital, Sweden, were randomized to usual follow-up by a general practitioner or a nurse-led intervention. The intervention comprised telephone follow-up after 1 month and then yearly with lifestyle counselling and titration of medications until reaching target values for LDL-C (<2.5 mmol/L) and blood pressure (BP; <140/90 mmHg) or set targets were deemed unachievable. This is a 12-month exploratory analysis of the intervention.

Results

A total of 768 patients (396 intervention, 372 control) completed the 12-month follow-up. After titration at the 1-month follow-up, mean LDL-C was 0.38 mmol/L (95% CI 0.28 to 0.48, p<0.05), mean systolic BP 7 mmHg (95% CI 4.5 to 9.2, p<0.05), and mean diastolic BP 4 mmHg (95% CI 2.4 to 4.1, p<0.05) lower in the intervention group. Target values for LDL-C and systolic BP were met by 94.1% and 91.9% of intervention patients and 68.4% and 65.6% of controls (p<0.05). At 12 months, mean LDL was 0.3 mmol/L (95% CI 0.1 to 0.4, p <0.05), systolic BP 1.5 mmHg (95% CI -1.0 to 4.1, p = 0.24), and mean diastolic BP 2.1 mmHg (95% CI 0.6 to 3.6, p <0.05) lower in the intervention group. Target values for LDL-C and systolic BP were met in 77.7% and 68.9% of intervention patients and 63.2% and 63.7% of controls (p<0.05 and p = 0.125).

Conclusion

Nurse-led telephone-based secondary prevention was significantly more efficient at improving LDL-C and diastolic BP levels than usual care. The effect of the intervention declined between 1 and 12 months. Further evaluation of the persistence to the intervention is needed.

A systematic review and meta-analysis on herpes zoster and the risk of cardiac and cerebrovascular events

Background

Patients who develop herpes zoster or herpes zoster ophthalmicus may be at risk for cerebrovascular and cardiac complications. We systematically reviewed the published literature to determine the association between herpes zoster and its subtypes with the occurrence of cerebrovascular and cardiac events.

Methods/Results

Systematic searches of PubMed (MEDLINE), SCOPUS (Embase) and Google Scholar were performed in December 2016. Eligible studies were cohort, case-control, and self-controlled case-series examining the association between herpes zoster or subtypes of herpes zoster with the occurrence of cerebrovascular and cardiac events including stroke, transient ischemic attack, coronary heart disease, and myocardial infarction. Data on the occurrence of the examined events were abstracted. Odds ratios and their accompanying confidence intervals were estimated using random and fixed effects models with statistical heterogeneity estimated with the I² statistic. Twelve studies examining 7.9 million patients up to 28 years after the onset of herpes zoster met our pre-defined eligibility criteria. Random and fixed effects meta-analyses showed that herpes zoster, type unspecified, and herpes zoster ophthalmicus were associated with a significantly increased risk of cerebrovascular events, without any evidence of statistical heterogeneity. Our meta-analysis also found a significantly increased risk of cardiac events associated with herpes zoster, type unspecified.

Conclusions

Our results are consistent with the accumulating body of evidence that herpes zoster and herpes zoster ophthalmicus are significantly associated with cerebrovascular and cardiovascular events.

[Changes in the prevalence of statin use in Germany - findings from national health interview and examination surveys 1997-1999 and 2008-2011]

BACKGROUND

Evidence-based guideline recommendations on lipid lowering drug treatment, in particular statin treatment, play an essential role in the management of dyslipidemias and in the prevention of cardiovascular disease events. In Germany, statutory health insurance data provide information on time trends in the prescription of lipid lowering drugs. However, population-based data regarding changes in user prevalence according to socio-demographic and health-related characteristics are lacking. Based on data from national health interview and examination surveys for adults in Germany 1997-1999 (GNHIES98) and 2008-2010 (DEGS1), the present analysis aims to close this information gap with a particular focus on the use of statins.

METHODS

The study population consisted of 7,099 participants (GNHIES98) and 7,091 participants (DEGS1) aged 18 to 79 years at the time of the respective surveys. Primary data on medication use within 7 days prior to the survey were collected using standardized medication interviews and brown-bag drug review. Unique product identifiers on original drug containers were scanned and coded according to the latest version of the Anatomical Therapeutic Chemical (ATC) classification system. Medical history was obtained in computer-assisted personal interviews. A history of stroke or coronary heart disease (CHD) was assessed among persons aged 40 to 79 years only, and previous stroke or CHD were defined as cardiovascular disease. Obesity was defined as a body mass index (BMI) of ≥ 30kg/m²) based on calculation from standardized measures of body weight and height. Information on socio-demographic variables and type of health insurance was collected using standardized self-administered questionnaires. In cross-sectional descriptive analyses we calculated the prevalence of statin use (ATC codes: C10AA, C10BA, C10BX) by survey as well as the changes between surveys stratified according to relevant preexisting diseases and other co-variables. The association between survey period and statin use was analyzed in multivariable binary logistic regression models among persons aged 40 to 79 years. All results were weighted and standardized for the population of 2010.

RESULTS

Between the two survey periods 1997-1999 and 2008-2011, the prevalence of statin use increased from 3.2 % to 8.8 %. The increase was most pronounced for the age group 65 to 79 years (7.2 % vs. 26.9 %) and among persons with relevant preexisting conditions, such as CHD (19.1 % vs. 54.9 %), stroke (17.1 % vs. 50.1 %), diabetes mellitus (10.5 % vs. 33.2 %), and dyslipidemia (12.6 % vs. 27.8 %). Among persons aged 40 to 79 years, the prevalence of statin use significantly increased between the two surveys, independent of co-variables (Odds Ratio: 3.70; 95 % confidence interval [CI]: 2.92 to 4.70). This applied to persons with cardiovascular disease (5.17; 3.50 to 7.64) and without cardiovascular disease (2.76; 2.07 to 3.67).

CONCLUSION

The increase in the prevalence of statin use in Germany between the two national health surveys (1997-1999 and 2008-2011) reflects the implementation of current guideline recommendations without evidence for inequalities according to gender, education, type of health insurance or region of residence. These population-based data add to information on statin prescription obtained from statutory health insurance data. Limitations of survey-based information derive from potential misclassification and selection bias as well as large time gaps between the survey periods. Further studies are needed to examine why the observed prevalence of statin use among persons with cardiovascular morbidity lags behind current guideline recommendations for secondary cardiovascular prevention.

Identifying psychosocial predictors of medication non-adherence following acute coronary syndrome: A systematic review and meta-analysis

OBJECTIVE

Medication non-adherence following acute coronary syndrome (ACS) is associated with poor clinical outcomes. A systematic review and meta-analysis were undertaken to identify psychosocial factors associated with medication adherence in patients with ACS.

METHODS

A search of electronic databases (Cochrane Library, Medline, EMBASE, PsycINFO, Web of Science, International Pharmaceutical Abstracts, CINAHL, ASSIA, OpenGrey, EthOS and WorldCat) was undertaken to identify relevant articles published in English between 2000 and 2014. Articles were screened against our inclusion criteria and data on study design, sample characteristics, predictors, outcomes, analyses, key findings and study limitations were abstracted.

RESULTS

Our search identified 3609 records, of which 17 articles met our inclusion criteria (15 independent studies). Eight out of ten studies found an association between depression and non-adherence. A meta-analysis revealed that depressed patients were twice as likely to be non-adherent compared to patients without depression (OR=2.00, 95% CI 1.57-3.33, p=0.015). Type D personality was found to predict non-adherence in both studies in which it was measured. Three out of three studies reported that treatment beliefs based on the Necessity-Concerns Framework predicted medication non-adherence and there was some evidence that social support was associated with better adherence. There was insufficient data to meta-analyse all other psychosocial factors identified.

CONCLUSION

There was some evidence that psychosocial factors, particularly depression, were associated with medication adherence following ACS. Targeting depressive symptoms, screening for Type D personality, challenging maladaptive treatment beliefs, and providing better social support for patients may be useful strategies to improve medication adherence.

Medication Adherence Patterns after Hospitalization for Coronary Heart Disease. A Population-Based Study Using Electronic Records and Group-Based Trajectory Models

Objective

To identify adherence patterns over time and their predictors for evidence-based medications used after hospitalization for coronary heart disease (CHD).

Patients and Methods

We built a population-based retrospective cohort of all patients discharged after hospitalization for CHD from public hospitals in the Valencia region (Spain) during 2008 (n = 7462). From this initial cohort, we created 4 subcohorts with at least one prescription (filled or not) from each therapeutic group (antiplatelet, beta-blockers, ACEI/ARB, statins) within the first 3 months after discharge. Monthly adherence was defined as having ≥24 days covered out of 30, leading to a repeated binary outcome measure. We assessed the membership to trajectory groups of adherence using group-based trajectory models. We also analyzed predictors of the different adherence patterns using multinomial logistic regression.

Results

We identified a maximum of 5 different adherence patterns: 1) Nearly-always adherent patients; 2) An early gap in adherence with a later recovery; 3) Brief gaps in medication use or occasional users; 4) A slow decline in adherence; and 5) A fast decline. These patterns represented variable proportions of patients, the descending trajectories being more frequent for the beta-blocker and ACEI/ARB cohorts (16% and 17%, respectively) than the antiplatelet and statin cohorts (10% and 8%, respectively). Predictors of poor or intermediate adherence patterns were having a main diagnosis of unstable angina or other forms of CHD vs. AMI in the index hospitalization, being born outside Spain, requiring copayment or being older.

Conclusion

Distinct adherence patterns over time and their predictors were identified. This may be a useful approach for targeting improvement interventions in patients with poor adherence patterns.

Optimal medical therapy for secondary prevention after an acute coronary syndrome: 18-month follow-up results at a tertiary teaching hospital in South Korea

Background

Acute coronary syndrome (ACS) is a fatal cardiovascular disease caused by atherosclerotic plaque erosion or rupture and formation of coronary thrombus. The latest guidelines for ACS recommend the combined drug regimen, comprising aspirin, P2Y₁₂ inhibitor, angiotensin-converting enzyme inhibitor or angiotensin II receptor blocker, β-blocker, and statin, at discharge after ACS treatment to reduce recurrent ischemic cardiovascular events. This study aimed to examine prescription patterns of secondary prevention drugs in Korean patients with ACS after hospital discharge, to access the appropriateness of secondary prevention drug therapy for ACS, and to evaluate whether to persistently use discharge medications for 18 months.

Methods

This study was retrospectively conducted with the patients who were discharged from the tertiary hospital, located in South Korea, after ACS treatment between September 2009 and August 2013. Data were collected through electronic medical record.

Results

Among 3,676 patients during the study period, 494 were selected based on inclusion and exclusion criteria. The regimen of aspirin + clopidogrel + β-blocker + angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker + statin was prescribed to 374 (75.71%) patients with ACS at discharge. Specifically, this regimen was used in 177 (69.69%) unstable angina patients, 44 (70.97%) non-ST-segment elevation myocardial infarction patients, and 153 (85.96%) ST-segment elevation myocardial infarction patients. Compared with the number of ACS patients with all five guideline-recommended drugs at discharge, the number of ACS patients using them 12 (n=169, 34.21%) and 18 (n=105, 21.26%) months after discharge tended to be gradually decreased.

Conclusion

The majority of ACS patients in this study received all five guideline-recommended medications at discharge from the hospital. However, the frequency of using all of them had been gradually decreased 3, 6, 12, and 18 months after discharge compared with that at discharge. Careful monitoring of adherence on ACS secondary prevention medications may help improve the outcomes of ACS patients in terms of recurrent ischemic cardiovascular events.