Secondary prevention medication after myocardial infarction: persistence in elderly people over the course of 1 year

Patient Adherence to Secondary Prevention Therapies After an Acute Coronary Syndrome: A Scoping Review

PURPOSE

Adherence to guideline-recommended, long-term secondary preventative therapies among patients with acute coronary syndrome (ACS) is fundamental to improving long-term outcomes. The purpose of this scoping review was to provide a broad synopsis of pertinent studies in a structured and comprehensive way regarding factors that influence patient adherence to medical therapy after ACS.

METHODS

Relevant articles focusing on adherence to medical therapy after ACS were retrieved from the EMBASE and MEDLINE databases (search date, September 7, 2021). Studies were independently screened, and relevant information was extracted.

FINDINGS

A total of 58 studies were identified by using the EMBASE and MEDLINE databases. Adherence to secondary prevention was moderate to low and steadily decreased over time. Nearly 30% of patients discontinued one or more medications within 90 days of their primary ACS, and adherence decreased to 50% to 60% at 1 year postdischarge. There were no major differences in adherence between drug classes. Factors influencing patient adherence can be broadly divided into 3 categories: patient related, health care system related, and disease related. Patients managed with percutaneous coronary interventions were more adherent to follow-up treatment than medically managed patients. Depression was reported as a major psychological factor that negatively affected adherence. Improved adherence was observed when higher levels of patient education and provider engagement were delivered during postdischarge follow-up, particularly when scheduled early. Notably, the incidence of major adverse cardiovascular events was lower in hospitals with high 90-day medication adherence than those with moderate or low adherence.

IMPLICATIONS

Patient nonadherence to guideline-recommended long-term pharmacologic secondary preventative therapies after ACS is multifactorial. A comprehensive multifaceted approach should be implemented to improve adherence and clinical outcomes. This approach should include key interventions such as early follow-up visits, high medication adherence at 90 days, patient engagement and education, and development of novel interventions that support the 3 broad categories influencing patient adherence as discussed in this review.

Interventions for improving medication-taking ability and adherence in older adults prescribed multiple medications

BACKGROUND

Older people taking multiple medications represent a large and growing proportion of the population. Managing multiple medications can be challenging, and this is especially the case for older people, who have higher rates of comorbidity and physical and cognitive impairment than younger adults. Good medication-taking ability and medication adherence are necessary to ensure safe and effective use of medications.

OBJECTIVES

To evaluate the effectiveness of interventions designed to improve medication-taking ability and/or medication adherence in older community-dwelling adults prescribed multiple long-term medications.

SEARCH METHODS

We searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), PsycINFO, CINAHL Plus, and International Pharmaceutical Abstracts from inception until June 2019. We also searched grey literature, online trial registries, and reference lists of included studies.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), quasi-RCTs, and cluster-RCTs. Eligible studies tested interventions aimed at improving medication-taking ability and/or medication adherence among people aged ≥ 65 years (or of mean/median age > 65 years), living in the community or being discharged from hospital back into the community, and taking four or more regular prescription medications (or with group mean/median of more than four medications). Interventions targeting carers of older people who met these criteria were also included.

DATA COLLECTION AND ANALYSIS

Two review authors independently reviewed abstracts and full texts of eligible studies, extracted data, and assessed risk of bias of included studies. We conducted meta-analyses when possible and used a random-effects model to yield summary estimates of effect, risk ratios (RRs) for dichotomous outcomes, and mean differences (MDs) or standardised mean differences (SMDs) for continuous outcomes, along with 95% confidence intervals (CIs). Narrative synthesis was performed when meta-analysis was not possible. We assessed overall certainty of evidence for each outcome using Grades of Recommendation, Assessment, Development and Evaluation (GRADE). Primary outcomes were medication-taking ability and medication adherence. Secondary outcomes included health-related quality of life (HRQoL), emergency department (ED)/hospital admissions, and mortality.

MAIN RESULTS

We identified 50 studies (14,269 participants) comprising 40 RCTs, six cluster-RCTs, and four quasi-RCTs. All included studies evaluated interventions versus usual care; six studies also reported a comparison between two interventions as part of a three-arm RCT design. Interventions were grouped on the basis of their educational and/or behavioural components: 14 involved educational components only, 7 used behavioural strategies only, and 29 provided mixed educational and behavioural interventions. Overall, our confidence in results regarding the effectiveness of interventions was low to very low due to a high degree of heterogeneity of included studies and high or unclear risk of bias across multiple domains in most studies. Five studies evaluated interventions for improving medication-taking ability, and 48 evaluated interventions for improving medication adherence (three studies evaluated both outcomes). No studies involved educational or behavioural interventions alone for improving medication-taking ability. Low-quality evidence from five studies, each using a different measure of medication-taking ability, meant that we were unable to determine the effects of mixed interventions on medication-taking ability. Low-quality evidence suggests that behavioural only interventions (RR 1.22, 95% CI 1.07 to 1.38; 4 studies) and mixed interventions (RR 1.22, 95% CI 1.08 to 1.37; 12 studies) may increase the proportions of people who are adherent compared with usual care. We could not include in the meta-analysis results from two studies involving mixed interventions: one had a positive effect on adherence, and the other had little or no effect. Very low-quality evidence means that we are uncertain of the effects of educational only interventions (5 studies) on the proportions of people who are adherent. Low-quality evidence suggests that educational only interventions (SMD 0.16, 95% CI -0.12 to 0.43; 5 studies) and mixed interventions (SMD 0.47, 95% CI -0.08 to 1.02; 7 studies) may have little or no impact on medication adherence assessed through continuous measures of adherence. We excluded 10 studies (4 educational only and 6 mixed interventions) from the meta-analysis including four studies with unclear or no available results. Very low-quality evidence means that we are uncertain of the effects of behavioural only interventions (3 studies) on medication adherence when assessed through continuous outcomes. Low-quality evidence suggests that mixed interventions may reduce the number of ED/hospital admissions (RR 0.67, 95% CI 0.50 to 0.90; 11 studies) compared with usual care, although results from six further studies that we were unable to include in meta-analyses indicate that the intervention may have a smaller, or even no, effect on these outcomes. Similarly, low-quality evidence suggests that mixed interventions may lead to little or no change in HRQoL (7 studies), and very low-quality evidence means that we are uncertain of the effects on mortality (RR 0.93, 95% CI 0.67 to 1.30; 7 studies). Moderate-quality evidence shows that educational interventions alone probably have little or no effect on HRQoL (6 studies) or on ED/hospital admissions (4 studies) when compared with usual care. Very low-quality evidence means that we are uncertain of the effects of behavioural interventions on HRQoL (1 study) or on ED/hospital admissions (2 studies). We identified no studies evaluating effects of educational or behavioural interventions alone on mortality. Six studies reported a comparison between two interventions; however due to the limited number of studies assessing the same types of interventions and comparisons, we are unable to draw firm conclusions for any outcomes.

AUTHORS' CONCLUSIONS

Behavioural only or mixed educational and behavioural interventions may improve the proportion of people who satisfactorily adhere to their prescribed medications, but we are uncertain of the effects of educational only interventions. No type of intervention was found to improve adherence when it was measured as a continuous variable, with educational only and mixed interventions having little or no impact and evidence of insufficient quality to determine the effects of behavioural only interventions. We were unable to determine the impact of interventions on medication-taking ability. The quality of evidence for these findings is low due to heterogeneity and methodological limitations of studies included in the review. Further well-designed RCTs are needed to investigate the effects of interventions for improving medication-taking ability and medication adherence in older adults prescribed multiple medications.

A Systematic Review and Meta-analysis of the Factors Associated With Nonadherence and Discontinuation of Statins Among People Aged ≥65 Years

Background

Older individuals (aged ≥65 years) are commonly prescribed statins but may experience a range of barriers in adhering to therapy. The factors associated with poor statin adherence and/or discontinuation among this population have not been comprehensively reviewed.

Methods

We conducted a systematic review to identify English articles published through December 12, 2016 that reported factors associated with nonadherence and/or discontinuation of statins among older persons. Data were pooled via random-effects meta-analysis techniques.

Results

Forty-five articles reporting data from more than 1.8 million older statin users from 13 countries were included. The factors associated with increased statin nonadherence were black/non-white race (odds ratio [OR] 1.66, 95% confidence interval [CI] 1.39-1.98), female gender (OR 1.08, 95% CI 1.03-1.13), current smoker (OR 1.12, 95% CI 1.03-1.21), higher copayments (OR 1.38, 95% CI 1.25-1.52), new user (OR 1.58, 95% CI 1.21-2.07), lower number of concurrent cardiovascular medications (OR 1.08, 95% CI 1.06-1.09), primary prevention (OR 1.49, 95% CI 1.40-1.59), having respiratory disorders (OR 1.17, 95% CI 1.12-1.23) or depression (OR 1.11, 95% CI 1.06-1.16), and not having renal disease (OR 1.09, 95% CI 1.04-1.14). The factors associated with increased statin discontinuation were lower income status (OR 1.20, 95% CI 1.06-1.36), current smoker (OR 1.14, 95% CI 1.06-1.23), higher copayment (OR 1.61, 95% CI 1.53-1.70), higher number of medications (OR 1.04, 95% CI 1.01-1.06), presence of dementia (OR 1.18, 95% CI 1.02-1.36), cancer (OR 1.22, 95% CI 1.11-1.33) or respiratory disorders (OR 1.19, 95% CI 1.05-1.34), primary prevention (OR 1.66, 95% CI 1.24-2.22), and not having hypertension (OR 1.13, 95% CI 1.07-1.20) or diabetes (OR 1.09, 95% CI 1.04-1.15).

Conclusion

Interventions that target potentially modifiable factors including financial and social barriers, patients' perceptions about disease risk as well as polypharmacy may improve statin use in the older population.

The impact of age on the implementation of evidence-based medications in patients with coronary artery disease and its prognostic significance: a retrospective cohort study

Background

Elderly patients with coronary artery disease (CAD) frequently complicated with more cardiovascular risk factors, but received fewer evidence-based medications (EBMs). This study explored the association of EBMs compliance in different age groups and the risk of long-term death.

Methods

A retrospective analysis was conducted from a single registered database. 2830 consecutive patients with CAD were enrolled and grouped into 3 categories by age. The primary end point was all-cause mortality and secondary endpoint is cardiovascular mortality.

Results

The mean follow-up time was 30.25 ± 11.89 months and death occurred in 270 cases,including 150 cases of cardiac death. Cumulative survival curves indicated that the incidence rates of all-cause death and cardiovascular death increased with age (older than 75 years old vs. 60 to 75 years old vs. younger than 60 years old, mortality: 18.7% vs. 9.6% vs. 4.1%, p < 0.001; cardiovascular mortality: 10.3% vs. 5.1% vs. 2.7%, p < 0.001). The percentage of elderly patients using no EBMs was significantly higher than the percentages in the other age group (7.7% vs. 4.6% vs. 2.2%,p < 0.05). Cox regression analysis revealed the benefit of combination EBMs (all-cause mortality: hazard ratio [HR] 0.15, 95% CI 0.08–0.27; cardiac mortality: HR 0.08, 95% CI 0.04–0.19) for older CAD patients. Similar trends were found about different kinds of EBMs in elderly patients.

Conclusions

Elderly patients with CAD had higher risk of death but a lower degree of compliance with EBMs usage. Elderly CAD patients could receive more clinical benefits by using EBMs.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-5049-x) contains supplementary material, which is available to authorized users.

Medication use in long-term survivors from the MONICA/KORA Myocardial Infarction Registry

BACKGROUND

Prior studies reported high guideline adherence for secondary prevention medications (SPM) at hospital discharge in patients with acute myocardial infarction (AMI). Less is known about medication use in long-term AMI survivors.

METHODS

Of the 2077 registered persons with an AMI between 2000 and 2008 who responded to a postal follow-up survey in 2011, 1311 men and 356 women, aged between 34.4 and 84.9years, reported medication intake 7days prior to the survey. These study participants also had their current health condition and comorbidities assessed. Information regarding index AMI was selected from the population-based MONICA/KORA MI registry. Multivariable logistic regression models were conducted to identify factors associated with SPM use (all 4 drug classes).

RESULTS

The median time between index AMI and the follow-up survey was 6.1years (IQR: 3.9). At follow-up, a total of 10,422 medications were reported and polypharmacy was observed in 73.8%. Regarding SPM, the proportion of patients taking antiplatelet agents, beta-blockers, statins, and renin-angiotensin-aldosteron system blockers were 90.9%, 86.7%, 85.4%, and 79.3% respectively. Factors associated with SPM use were hypertension (odds ratio [OR] 1.48, p=0.006), SPM prescription at hospital discharge (OR 2.68, p<0.0001), revascularization therapy at index AMI (OR 2.46, p>0.0001), number of medications taken at follow-up (OR 1.48, p<0.0001), and several comorbidities such as lung disorders (OR 0.17; p<0.0001), depression (OR 0.53, p=0.001), neurological disorders (without stroke) (OR 0.34, p=0.002), and cancer (OR 0.45, p=0.005).

CONCLUSION

SPM use several years after AMI was high and associated with treatment at index AMI and patients' comorbidities.

Clinical factors associated with initiation of and persistence with ADP receptor-inhibiting oral antiplatelet treatment after acute coronary syndrome: a nationwide cohort study from Finland

OBJECTIVES

To study patient selection for and persistence with ADP receptor-inhibiting oral antiplatelet (OAP) treatment after acute coronary syndrome (ACS).

DESIGN

Observational, retrospective, cohort study linking real-life patient-level register data.

SETTING

Nationwide drug usage study using data of patients with ACS discharged from hospitals in Finland.

PARTICIPANTS

The study population consisted of 54 416 patients (aged ≥18 years) following hospital admission for unstable angina pectoris or myocardial infarction during 2009-2013. Patients were classified as either OAP or non-OAP users based on drug purchases within 7 days of discharge.

OUTCOME MEASURES

Initiation of and a 12-month persistence with OAP medication.

RESULTS

In total, 49% of patients with ACS received OAP treatment after hospital discharge. Women represented 40% of the population, but only 32% of them became OAP users (adjusted OR for initiation compared with men 0.8; p<0.001). Patients not treated with percutaneous coronary intervention (PCI), elderly and patients with dementia/Alzheimer's disease, atrial fibrillation or warfarin treatment were less likely to be treated with OAP. If initiated, they were less likely to complete the recommended 12 months' medication (adjusted risk increment >38% and p<0.001 for all). The OAP users showed good compliance with immediate initiation (92% within 1 day of discharge) and high mean medication possession rate (99%). Among OAP users, the usage of other secondary prevention drugs after ACS was more common than in non-OAP-treated patients (difference >20 percentage points for each).

CONCLUSIONS

Only half of the patients with ACS received guideline-recommended ADP receptor-inhibiting OAP treatment after hospital discharge, suggesting suboptimal treatment practices. Non-PCI-treated patients and patients with increased age, unstable angina, dementia or atrial fibrillation appear to have the highest risk of deficient treatment with OAPs. OAP users, however, showed good compliance during drug usage.

Evidence-based interventions in primary care following acute coronary syndrome in Australia and New Zealand: a systematic scoping review

BACKGROUND

Coronary artery disease has a significant disease burden, but there are many known barriers to management of acute coronary syndrome (ACS). General practitioners (GPs) bear considerable responsibility for post-discharge management of ACS in Australia and New Zealand (NZ), but knowledge about the extent and efficacy of such management is limited. This systematic review summarises published evidence from Australia and New Zealand regarding management in primary care after discharge following ACS.

METHODS

A search of PubMed, Scopus, CINAHL-Plus and PSYCINFO databases in August 2015 was supplemented by citation screening and hand-searching. Literature was selected based on specified criteria, and assessed for quality using the Mixed Methods Appraisal Tool (MMAT). Extracted data was related to evidence-based interventions specified by published guidelines.

RESULTS

The search yielded 19 publications, most of which reported on quantitative and observational studies from Australia. The majority of studies scored at least 75 % on the MMAT. Diverse aspects of management by GPs are presented according to categories of evidence-based guidelines. Data suggests that GPs are more likely to prescribe ACS medications than to assist in lifestyle or psychological management. GP referral to cardiac rehabilitation varied, and one study showed an improvement in the number of ACS patients with documented ACS management plans. Few studies described successful interventions to improve GP management, though some quality improvement efforts through education and integration of care with hospitals were beneficial. Limited data was published about interventions effective in rural, minority, and Indigenous populations.

CONCLUSIONS

Research reflects room for improvement in GP post-discharge ACS management, but little is known about effective methods for improvement. Additional research, both observational and interventional, would assist GPs in improving the quality of post-discharge ACS care.

Lipid-modifying therapy in the elderly

Cardiovascular disease (CVD) mortality and morbidity increases with increasing age, largely as a result of increased lifetime exposure as well as increased prevalence of CVD risk factors. Hospitalization for CVD increases by a factor of over 18× for those aged 85+ years versus those aged <30 years. In spite of this, life expectancy continues to increase, and in Australia for people reaching the age of 65 years, it is now 84 years in men and 87 years in women. The number of people for whom lipid management is potentially indicated therefore increases with aging. This is especially the case for secondary prevention and for people aged 65-75 years for whom there is also evidence of benefit from primary prevention. Many people in this age group are not treated with lipid-lowering drugs, however. Even those with CVD may be suboptimally treated, with one study showing treatment rates to fall from ~60% in those aged <50 years to <15% for those aged 85+ years. Treatment of the most elderly patient groups remains controversial partly from the lack of randomized trial intervention data and partly from the potential for adverse effects of lipid therapy. There are many complex issues involved in the decision to introduce effective lipid-lowering therapy and, unfortunately, in many instances there is not adequate data to make evidence-based decisions regarding management. This review summarizes the current state of knowledge of the management of lipid disorders in the elderly and proposes guidelines for management.