Medication adherence and associated factors in newly diagnosed hypertensive patients in Japan: the LIFE study

Hypertension is the leading cardiovascular risk factor worldwide. However, in Japan, only 30% of patients have their blood pressure controlled under 140/90 mmHg, and nonadherence to antihypertensives is thought to be a reason for the poor control of hypertension. We therefore sought to assess the adherence to hypertension treatment and to evaluate factors influencing patients' adherence in a large, representative sample of the Japanese population. To this end, we analyzed claims data from the LIFE Study database, which includes 112 506 Japanese adults with newly diagnosed hypertension. Medication adherence was measured for a year postdiagnosis using the proportion of days covered (PDC) method. Factors associated with adherence to antihypertensives were also assessed. Among the total 112 506 hypertensive patients, the nonadherence rate (PDC ≤ 80%) for antihypertensives during the first year after initiation of the treatment was 26.2%. Younger age [31-35 years: odds ratio (OR), 0.15; 95% confidence interval (95% CI), 0.12-0.19 compared with 71-74-year-old patients], male gender, monotherapy, and diuretics use [OR, 0.87; 95% CI, 0.82-0.91 compared with angiotensin II receptor blockers (ARBs)] were associated with poor adherence in the present study. Cancer comorbidity (OR, 0.84; 95% CI, 0.79-0.91 compared with no comorbidity), prescription at a hospital, and living in a medium-sized to regional city were also associated with poor adherence. Our present findings showing the current status of adherence to antihypertensive medications and its associated factors using claims data in Japan should help to improve adherence to antihypertensives and blood pressure control.

Statin usage and cardiovascular risk among people living with HIV in the U.S. Military HIV Natural History Study

OBJECTIVES

Using the American College of Cardiology/American Heart Association 2013 atherosclerotic cardiovascular disease (ASCVD) management guidelines, we conducted a retrospective cross-sectional analysis of people living with HIV in the US Military HIV Natural History Study to determine whether individuals were receiving statins when indicated.

METHODS

Prescription data was taken from Military Health System data. Statin eligibility was defined by ASCVD guidelines. We used the 10-year ASCVD pooled cohorts' equation to evaluate risk for each participant.

RESULTS

Across all categories, 31.9% (n = 390) of individuals met criteria for statin use, and when adding these subjects to the number of those already receiving statins (n = 96), 62.1% of all eligible subjects (n = 302/486) were actually receiving statin therapy. In multivariable analysis, individuals of African American race [odds ratio (OR) = 0.48, 95% confidence interval (CI): 0.31-0.73] or Hispanic ethnicity (OR = 0.42, 95% CI: 0.19-0.94) were less likely to receive statin prescriptions than white individuals. Individuals with a higher CD4 count (OR = 1.12, 95% CI: 1.05-1.20 per 100 cells/μL]) were significantly more likely to receive a statin prescription.

CONCLUSIONS

These data highlight discrepancies between ASCVD guidelines and primary care management of people living with HIV (PLWH) in the military health system, along with important racial differences. Targeted interventions are critical to identify and treat appropriate candidates for statin therapy among PLWH in the military and other settings.

Long-term statin persistence is poor among high-risk patients with dyslipidemia: a real-world administrative claims analysis

Background

A decade ago, statin persistence was < 50% after 1 year, and recent short-term analyses have revealed very little progress in improving statin persistence, even in patients with a prior cardiovascular (CV) event. Data on longer-term statin persistence are lacking. We measured long-term statin persistence in patients with high CV risk.

Methods

This retrospective administrative claims analysis of the Optum Research Database included patients aged ≥ 45 years with diabetes and/or atherosclerotic CV disease (ASCVD) who had a statin prescription filled in 2010. It included an elevated triglycerides (TG) cohort of patients with index date in 2010 and TG ≥ 150 mg/dL (n = 23,181) and a propensity-matched comparator cohort with TG < 150 mg/dL and high-density lipoprotein cholesterol > 40 mg/dL (n = 23,181). Both cohorts were followed for ≥ 6 months up to March 2016.

Results

The probability of remaining on a prescription fill for index statin therapy was 47% after 1 year and 19% after 5 years in both cohorts. Statin persistence was worse among women than men, and among younger versus older patients (P < 0.001 for all comparisons). After 5 years, the probability of remaining on a prescription fill for index statin was < 25% across all subgroups assessed including patients with and without baseline revascularization, heart failure, peripheral artery disease and renal disease. Similar results were observed in a subcohort analysis of patients with TG 200–499 mg/dL.

Conclusions

Long-term statin persistence after 5 years is alarmingly low (< 25%) and is a public health concern.

The Integrating Pharmacogenetics in Clinical Care (I-PICC) Study: Protocol for a point-of-care randomized controlled trial of statin pharmacogenetics in primary care

BACKGROUND

The association between the SLCO1B1 rs4149056 variant and statin-associated muscle symptoms (SAMS) is well validated, but the clinical utility of its implementation in patient care is unknown.

DESIGN

The Integrating Pharmacogenetics in Clinical Care (I-PICC) Study is a pseudo-cluster randomized controlled trial of SLCO1B1 genotyping among statin-naïve primary care and women's health patients across the Veteran Affairs Boston Healthcare System. Eligible patients of enrolled primary care providers are aged 40-75 and have elevated risk of cardiovascular disease by American College of Cardiology/American Heart Association (ACC/AHA) guidelines. Patients give consent by telephone in advance of an upcoming appointment, but they are enrolled only if and when their provider co-signs an order for SLCO1B1 testing, performed on a blood sample already collected in clinical care. Enrolled patients are randomly allocated to have their providers receive results through the electronic health record at baseline (PGx + arm) versus after 12 months (PGx- arm). The primary outcome is the change in low-density lipoprotein cholesterol (LDL-C) after one year. Secondary outcomes are concordance with Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines for simvastatin prescribing, concordance with ACC/AHA guidelines for statin use, and incidence of SAMS. With 408 patients, the study has >80% power to exclude a between-group LDL-C difference of 10 mg/dL (non-inferiority design) and to detect between-group differences of 15% in CPIC guideline concordance (superiority design).

CONCLUSION

The outcomes of the I-PICC Study will inform the clinical utility of preemptive SLCO1B1 testing in the routine practice of medicine, including its proposed benefits and unforeseen risks.

Medication management strategies used by older adults with heart failure: A systems-based analysis

BACKGROUND

Older adults with heart failure use strategies to cope with the constraining barriers impeding medication management. Strategies are behavioral adaptations that allow goal achievement despite these constraining conditions. When strategies do not exist, are ineffective or maladaptive, medication performance and health outcomes are at risk. While constraints to medication adherence are described in literature, strategies used by patients to manage medications are less well-described or understood.

AIM

Guided by cognitive engineering concepts, the aim of this study was to describe and analyze the strategies used by older adults with heart failure to achieve their medication management goals.

METHODS

This mixed methods study employed an empirical strategies analysis method to elicit medication management strategies used by older adults with heart failure. Observation and interview data collected from 61 older adults with heart failure and 31 caregivers were analyzed using qualitative content analysis to derive categories, patterns and themes within and across cases.

RESULTS

Data derived thematic sub-categories described planned and ad hoc methods of strategic adaptations. Stable strategies proactively adjusted the medication management process, environment, or the patients themselves. Patients applied situational strategies (planned or ad hoc) to irregular or unexpected situations. Medication non-adherence was a strategy employed when life goals conflicted with medication adherence. The health system was a source of constraints without providing commensurate strategies.

CONCLUSIONS

Patients strived to control their medication system and achieve goals using adaptive strategies. Future patient self-mangement research can benefit from methods and theories used to study professional work, such as strategies analysis.

Cross-sectional analysis of the prevalence and predictors of statin utilisation in Ireland with a focus on primary prevention of cardiovascular disease

OBJECTIVE

To describe the prevalence of statin utilisation by people aged over 50 years in Ireland and the factors associated with the likelihood of using a statin, focusing particularly on those using statins for primary prevention of cardiovascular disease (CVD).

METHODS

This is a cross-sectional analysis of cardiovascular risk and sociodemographic factors associated with statin utilisation from wave 1 of The Irish Longitudinal Study on Ageing. A hierarchy of indications for statin utilisation, consisting of eight mutually exclusive levels of CVD-related diagnoses, was created. Participants were assigned one level of indication. The prevalence of statin utilisation was calculated. The likelihood that an individual was using a statin was estimated using a multivariable logistic regression model, controlling for cardiovascular risk and sociodemographic factors.

RESULTS

In this nationally representative sample (n=5618) of community-dwelling participants aged 50 years and over, 1715 (30.5%) were taking statins. Of these, 65.0% (57.3% of men and 72.7% of women) were doing so for the primary prevention of CVD. Thus, almost two-thirds of those taking statins did so for primary prevention and there was a notable difference between women and men in this regard. We also found that statin utilisation was highest among those with a prior history of CVD and was significantly associated with age (compared with the base category 50-64 years; 65-74 years OR 1.38 (95% CI 1.16 to 1.65); 75+ OR 1.33 (95% CI 1.04 to 1.69)), living with a spouse or partner (compared with the base category living alone; OR 1.35 (95% CI 1.10 to 1.65)), polypharmacy (OR 1.74 (95% CI 1.39 to 2.19)) and frequency of general practitioner visits (compared with the base category 0 visits per year; 1-2 visits OR 2.46 (95% CI 1.80 to 3.35); 3-4 visits OR 3.24 (95% CI 2.34 to 4.47); 5-6 visits OR 2.98 (95% CI 2.08 to 4.26); 7+ visits OR 2.51 (95% CI 1.73 to 3.63)), even after controlling for clinical need. There was no association between using statins and gender, education, income, social class, health insurance status, location or Systematic Coronary Risk Evaluation (SCORE) risk in the multivariable analysis.

CONCLUSION

Statin utilisation among those with no history of CVD accounted for almost two-thirds of all statin use, in part reflecting the high proportion of the population with no history of CVD, although utilisation rates were highest among those with a history of CVD.

Risk Factors for Nonadherence to Antihypertensive Treatment

Nonadherence to antihypertensive treatment is a critical contributor to suboptimal blood pressure control. There are limited and heterogeneous data on the risk factors for nonadherence because few studies used objective-direct diagnostic methods. We used high-performance liquid chromatography-tandem mass spectrometry of urine and serum to detect nonadherence and explored its association with the main demographic- and therapy-related factors in 1348 patients with hypertension from 2 European countries. The rates of nonadherence to antihypertensive treatment were 41.6% and 31.5% in the UK and Czech populations, respectively. Nonadherence was inversely related to age and male sex. Each increase in the number of antihypertensive medications led to 85% and 77% increase in nonadherence ( P <0.001) in the UK and Czech populations, respectively. The odds of nonadherence to diuretics were the highest among 5 classes of antihypertensive medications ( P ≤0.005 in both populations). The predictive model for nonadherence, including age, sex, diuretics, and the number of prescribed antihypertensives, showed area under the curves of 0.758 and 0.710 in the UK and Czech populations, respectively. The area under the curves for the UK model tested on the Czech data and for the Czech model tested on UK data were calculated at 0.708 and 0.756, respectively. We demonstrate that the number and class of prescribed antihypertensives are modifiable risk factors for biochemically confirmed nonadherence to blood pressure–lowering therapy. Further development of discriminatory models incorporating these parameters might prove clinically useful in assessment of nonadherence in countries where biochemical analysis is unavailable.

A systematic review to assess adherence and persistence with statins

OBJECTIVE

To identify and assess studies published over a 10 year period up to February 2016 which measure adherence or persistence with statins, to summarize their methods, strengths and weaknesses and to summarize evidence linking statin adherence/persistence with risk of cardiovascular events.

METHODS

Electronic databases and abstracts from four major cardiovascular disease conferences were searched from January 2005 to February 2016. The study selection process was performed by two reviewers working independently. Studies were included if they reported data regarding patient adherence or persistence with statins in adults with primary hypercholesterolemia, using any type of study design or length of follow-up. One reviewer extracted the study data and assessed study quality, which was checked by a second reviewer independently. Given the heterogeneity between the included studies a narrative critique and summary is presented.

RESULTS

We report on 84 real world studies which aimed to assess adherence or persistence with statins. The majority of studies concluded that good adherence/persistence was associated with reduction in cardiovascular events and mortality. In two studies high intensity statin regimens were associated with poorer patient adherence when compared to low intensity statins. Adherence and persistence with statin therapy also has an impact on hospitalization costs and other cardiovascular disease (CVD) related costs.

CONCLUSIONS

Adherence and persistence are associated with a reduction in CVD events and mortality. There was limited evidence to suggest that high intensity statin regimens are associated with poorer treatment adherence when compared to lower intensity regimens. Hence, more robust studies are required to establish this association. As recommended by the 2013 ACC/AHA, 2016 ESC and several other clinical guidelines, clinicians and pharmacy managers should regularly monitor statin therapy adherence.

Medication therapy management and adherence among US renal transplant recipients

BACKGROUND

Medication therapy management (MTM) services among patient populations with a range of disease states have improved adherence rates. However, no published studies have examined the impact of Medicare Part D MTM eligibility on renal transplant recipients' (RTRs) immunosuppressant therapy (IST) adherence. This study's purpose was therefore, to determine the effects of Medicare Part D MTM on IST adherence among adult RTRs at 12 months posttransplant.

METHODS

Cross-sectional analyses were performed on Medicare Parts A, B, and D claims and transplant follow-up data reported in the United States Renal Data System. The sample included adult RTRs who were transplanted between 2006 and 2011, had graft survival for 12 months, were enrolled in Part D, and were prescribed tacrolimus. IST adherence was measured by medication possession ratio for tacrolimus. MTM eligibility was determined using criteria established by the Centers for Medicare and Medicaid Services. Descriptive statistics were calculated. Adherence was modeled using multiple logistic regression.

RESULTS

In all, 17,181 RTRs were included. The majority of the sample were male (59.1%), and 42% were MTM-eligible. Mean medication possession ratio was 0.91±0.17 (mean ± standard deviation), with 16.83% having a medication possession ratio of <0.80. MTM eligibility, sex, age, and number of prescription drugs were significantly associated with adherence in the full model (P<0.05). MTM-eligible RTRs were more likely to be adherent than those who were not MTM-eligible (odds ratio =1.13, 95% confidence interval 1.02-1.26, P=0.02).

CONCLUSION

The findings provide evidence that access to MTM services increases IST adherence among RTRs.

Statins and Nonadherence

Statin nonadherence is a major challenge to optimal management. Patients nonadherent to statin therapy do not receive the expected benefit relative to the degree of low-density lipoprotein cholesterol (LDL-C) lowering obtained. This is important because new evidence guidelines recommend statins as the first-line therapy for those in high-risk groups (secondary prevention, patients with diabetes 40-75 years of age, and LDL-C ≥ 190 mg/dL) and in selected primary prevention patients. Statin assignment in the latter group occurs only in those with an estimated ≥7.5% 10-year atherosclerotic cardiovascular disease risk after shared decision making in a clinician–patient risk discussion. However, in numerous studies, statin nonadherence shows little or no benefit in reducing cardiovascular events or mortality compared to placebo, effectively negating the risk reduction expected from statin use and concomitantly increasing the total cost of health care. The causes and solutions for nonadherence are multifactorial and include patient, clinician, and health system factors. We believe that a clinician–patient partnership that facilitates patients’ understanding of the potential for optimal benefit with the least adverse effects is an important first step toward improving adherence. A transtheoretical model of stages of behavior change helps clinicians address many of the common factors limiting adherence to statins. We conclude with a teaching tool emphasizing a structured approach to statin therapy with patient-centered risk discussions.