Statin Adherence Research Articles

The Clinical Pharmacogenetics Implementation Consortium Guideline for SLCO1B1, ABCG2, and CYP2C9 genotypes and Statin-Associated Musculoskeletal Symptoms.

Statins reduce cholesterol, prevent cardiovascular disease, and are among the most commonly prescribed medications in the world. Statin-associated musculoskeletal symptoms (SAMS) impact statin adherence and ultimately can impede the long-term effectiveness of statin therapy. There are several identified pharmacogenetic variants that impact statin disposition and adverse events during statin therapy. SLCO1B1 encodes a transporter (SLCO1B1; alternative names include OATP1B1 or OATP-C) that facilitates the hepatic uptake of all statins. ABCG2 encodes an efflux transporter (BCRP) that modulates the absorption and disposition of rosuvastatin. CYP2C9 encodes a phase I drug metabolizing enzyme responsible for the oxidation of some statins. Genetic variation in each of these genes alters systemic exposure to statins (i.e., simvastatin, rosuvastatin, pravastatin, pitavastatin, atorvastatin, fluvastatin, lovastatin), which can increase the risk for SAMS. We summarize the literature supporting these associations and provide therapeutic recommendations for statins based on SLCO1B1, ABCG2, and CYP2C9 genotype with the goal of improving the overall safety, adherence, and effectiveness of statin therapy. This document replaces the 2012 and 2014 Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines for SLCO1B1 and simvastatin-induced myopathy.

An integrated continuity of care measure improves performance in models predicting medication adherence using population-based administrative data.

Continuity of care (COC) is considered an important determinant of medication adherence based on measures such as the usual provider continuity index (UPCI) that are derived exclusively from physician visit claims. This study aimed to: a) determine if high UPCI values predict physicians who deliver different clinical services; and b) compare UPCI with an integrated COC measure capturing physician visits, prescribing, and a complete medical examination in a multivariable model of patients receiving statin medications. This was a retrospective cohort study of new statin users between 2012 and 2017 in Saskatchewan, Canada. We calculated sensitivity/specificity of a high UPCI value for predicting physicians who were prescribers of statins and/or providers of complete medical examinations. Next, we used logistic regression models to test two measures of COC (high UPCI value or an integrated COC measure) on the outcome of optimal statin adherence (proportion of days covered ≥80%). The DeLong test was used to compare predictive performance of the two models. Among 55,144 new statin users, a high UPCI was neither a sensitive or specific marker of physicians who prescribed statins or performed a complete medical examination. The integrated COC measure had a stronger association with optimal adherence [adjusted odds ratio (OR) = 1.56, 95% confidence interval (CI) 1.50 to 1.63] than UPCI (adjusted OR = 1.23, 95% CI 1.19 to 1.28), and improved predictive performance of the adherence model. The number of physician visits alone appears to be insufficient to represent COC. An integrated measure improves predictive performance for optimal medication adherence in patients initiating statins.

Abstract EP58: Getting Personal: Improved Statin Adherence Through Individualized Communication

Background: Statin adherence remains suboptimal for primary prevention despite its proven benefits in reducing the risk of future adverse atherosclerotic cardiovascular disease (ASCVD). We aim to determine the effectiveness of personalized communication in improving adherence rates for the primary prevention of ASCVD. Methods: This was a quality improvement initiative involving three primary care clinics at the Jesse Brown Veteran Affairs Medical Center in Chicago, Illinois. Patients were ages 40-79, without a history of ASCVD and prescribed a statin within the past year. Those with a refill rate < 80% were mailed a letter educating them on their individualized 10-year ASCVD risk and statins’ utility in reducing this risk. Statin adherence data were obtained prior to and 90 days following the intervention to assess for an improvement in composite statin refill rate. A control chart was used before sending the mailed letters to determine if special causes of variation existed prior to intervention. A 2-sample t-test was used to compare the mean daily adherence rates pre- and post-intervention. Results: There was a statistically significant improvement in daily average statin adherence in the 90-day post-intervention period (84.88 ± 0.39 vs 83.40 ± 0.09; p < 0.001). Conclusion: Mailed letters that include individualized ASCVD risk scores may be an effective way of improving adherence to statins among patients with no prior history of ASCVD.

Impact of physician' and pharmacy staff supporting activities in usual care on patients' statin adherence.

Little is known about usual care by physicians and pharmacy teams to support adherence to statins and whether the extent of this care is associated with adherence to statins. Objective of the study was to examine the relationship between the extent of adherence supporting activities of healthcare practitioners (HCPs) and patients' adherence to statins. Cross-sectional study in 48 pharmacies and affiliated physicians' practices, between September 3, 2014 and March 20, 2015. Patients visiting the pharmacy with a statin prescription from participating prescribers were invited to participate. Usual care to support adherence was assessed among HCPs with the Quality of Standard Care questionnaire about usual care activities to support adherence. Adherence to statins was assessed among patients with the MARS-5 questionnaire. The association between the extent of HCPs' adherence supporting activities and patients' adherence was examined by means of multilevel regression analysis. 1,504 patients and 692 HCPs (209 physicians, 118 pharmacists and 365 pharmacy technicians) participated. No association was found between the extent of physicians' adherence supporting activities and patients' adherence to statins. The extent of adherence supporting activities by pharmacy teams in usual care was negatively associated with patients' adherence to statins (B coefficient -0.057 (95%CI: -0.112- -0.002). This study suggests that there is no positive relationship between the extent of HCPs' adherence supporting activities in usual care and patients' adherence to statins. Other methods than questionnaires (e.g. electronic monitors (to assess adherence) and observations (to assess usual care) should be applied to confirm the results of this study.

The effect of statin adherence on patients with type 2 diabetes after percutaneous coronary intervention for acute coronary syndrome.

To investigate the effect of long-term statin adherence among patients with type 2 diabetes mellitus (T2DM) after percutaneous coronary intervention (PCI) for acute coronary syndrome. All-cause readmission after initial PCI intervention was defined as the main outcome of the study. Readmission for revascularization, cerebrovascular disease, and so on among the study population was analyzed as secondary outcomes. A total of 11,172 patients with T2DM who underwent PCI for ACS were selected from the Beijing Basic Medical Insurance Database for urban employees between January 1, 2014, and December 31, 2018. Patients' long-term adherence to statin utilization was investigated during a 3-year follow-up period through survival analysis after adjusting for covariates, including outpatient medications for secondary prevention of coronary heart disease and other complications. Among patients, 29.7% showed a high level of adherence in terms of statin utilization after 3 years of follow-up. High statin utilization adherence was associated with a reduction in all-cause hospitalization rates compared to those with low levels of adherence (62.72% vs. 68.18%; HR, 0.85 [95% CI, 0.80-0.90], P < 0.0001). For secondary outcomes, a high level of statin adherence showed a protective effect as well: readmission rate for revascularization (49.56% vs. 53.96%, HR, 0.87 [95% CI, 0.82-0.93], P < 0.0001), readmission rate forcerebrovascular disease (6.78% vs. 10.17%, HR, 0.65 [95% CI, 0.55-0.76], P < 0.0001), and diabetes-related readmissionrate (11.05% vs. 14.81%, HR, 0.69 [95% CI, 0.61-0.79], P < 0.0001). In Beijing, long-term statin adherence among patients with T2DM after PCI is still not high, and the incidence of all-cause readmission, revascularization and cerebrovascular disease may be reduced through improving statin adherence.

Pharmacist-Led Programs to Increase Statin Prescribing: A Narrative Review of the Literature.

Statins are lipid-lowing medications shown to reduce cardiovascular events and are recommended for specific patient populations at elevated risk of atherosclerotic cardiovascular disease (ASCVD). Despite the demonstrated efficacy of statins for reducing ASCVD risk, and guidance on which populations should receive statin therapy, a substantial portion of eligible patients are not prescribed statin therapy. Pharmacists have attempted to increase the number of eligible patients receiving appropriate statin therapy through a variety of interventions and across several clinical settings. In this article, we highlight multiple studies evaluating the effectiveness of pharmacist-led interventions to improve statin use. A total of seven studies were selected for this narrative review, demonstrating the effectiveness and barriers of different statin-initiation programs delivered by pharmacists to increase statin use in eligible patients. Among the interventions assessed, a combination of provider communicating and statin prescribing through collaborative drug therapy management (CDTM) appear to the be the most useful at increasing statin use. Pharmacists can significantly improve statin use rates among eligible patients through multiple intervention types and across different clinical settings. Further studies should evaluate continued statin adherence and clinical outcomes among patients served by pharmacists.

The Impact of Age and Sex Concordance Between Patients and Physicians on Medication Adherence: A Population-Based Study.

PurposeAge or sex concordance (same sex or same age range) may also be associated with medication adherence but was not fully investigated. We aim to quantify the impact of age and sex concordance on optimal adherence to statin medications.Patients and MethodsA retrospective cohort study was conducted using population-based health administrative data from Saskatchewan, Canada. Participants were individuals newly initiated on statin medications between January 1, 2012, and December 31, 2017. The outcome was optimal adherence (proportion of days covered ≥ 80%) measured at one year after the first statin claim. The independent variables were sex and age concordance (age within five years) between patients and prescribers. The association between adherence outcome and sex/age concordance was analyzed by multivariable logistic regression models using generalized estimating equations controlled by a package of potential confounding factors.ResultsAmong 51,874 new statin users, 20.6% (n = 10,710) were age concordant with prescriber. The vast majority of age concordance occurred in patients younger than 66 years (88.6%, 9,486/10,710). Sex concordance was observed in 62.8% (n = 32,551) of patients and age-sex combined concordance in 13.2% (n = 6,856). Among patients younger than 66 years (n = 36,641/51,874, 70.6%), age concordance did not have a significant impact on optimal adherence [adjusted OR (aOR) = 1.02, 95% CI 0.97 to 1.07]. Weak association between sex concordance (aOR = 1.05, 95% CI 1.00 to 1.11), and age-sex combined concordance (aOR = 1.05, 95% CI 0.99 to 1.12) was observed.ConclusionAge and sex concordance were not statistically significant predictors of optimal statin adherence. However, a weak association was detected for sex concordance. Future studies should examine this factor in different health care settings.

Coronary Artery Calcium Versus Pooled Cohort Equations Score for Primary Prevention Guidance: Randomized Feasibility Trial

ObjectivesThis study sought to determine the feasibility of performing an extensive randomized outcomes trial comparing a coronary artery calcium (CAC)- versus a pooled cohort equations (PCE) risk score–based strategy for initiating statin therapy for primary atherosclerotic cardiovascular disease (ASCVD) prevention. BackgroundStatin therapy is standard for the primary prevention of ASCVD in subjects at increased risk. National guidelines recommend using the American College of Cardiology/American Heart Association PCE risk score to guide a statin recommendation. Whether guidance by a CAC score is equivalent or superior is unknown. MethodsCorCal (Effectiveness of a Proactive Cardiovascular Primary Prevention Strategy, With or Without the Use of Coronary Calcium Screening, in Preventing Future Major Adverse Cardiac Events) was a randomized trial consenting 601 patients without known ASCVD, diabetes, or prior statin therapy recruited from primary care clinics and randomized to CAC- (n = 302) or PCE guidance (n = 299) of statin initiation for primary prevention. Enrolled subjects and their physicians made final treatment decisions. Primary outcomes compared the proportion of statin recommendations received and subject adherence over 1 year between CAC- and PCE-arm subjects. Modeled medical costs, adverse effects, and low-density lipoprotein–cholesterol (LDL-C) were additional measures of interest. ResultsSubjects were well matched, and 540 (89.9%) completed entry testing and received a protocol-based recommendation. A statin was recommended in 101 (35.9%) CAC-arm and 124 (47.9%) PCE-arm subjects (P = 0.005). Compared to PCE-based recommendations, CAC-arm subjects were reclassified from statin to no statin in 36.0% and from no statin to statin in 5.6% of cases, resulting in a total reclassification of 20.6%. Physicians accepted the study-dictated recommendation to start a statin in 88.1% of CAC-arm vs 75.0% of PCE-arm subjects (P = 0.01). Patient-reported adherence to this recommendation at 3 months was 62.2% vs 42.2%, respectively (P = 0.009). At 1 year, statin adherence remained superior, LDL-C levels were lower, estimated costs were similar or reduced in CAC subjects, and few events occurred. ConclusionsCAC guidance may be a more efficient, personalized, cost-effective, and motivating approach to statin initiation and maintenance in primary prevention. This feasibility phase of CorCal should be regarded as hypothesis-generating with respect to cardiovascular outcomes, which is being addressed in a large, longer-term outcomes trial. (Effectiveness of a Proactive Cardiovascular Primary Prevention Strategy, With or Without the Use of Coronary Calcium Screening, in Preventing Future Major Adverse Cardiac Events [CorCal]; NCT03439267)

Association between statin adherence and the risk of stroke among South Korean adults with hyperlipidemia

Background and aimsThe effectiveness of statins commonly used to prevent stroke may depend on adherence to treatment. We examined the association between statin adherence and stroke risk among South Korean adults with hyperlipidemia. Methods and resultsThe data of 128,052 and 129,390 participants with hyperlipidemia for the purpose of studying the risks of ischemic and hemorrhagic stroke, respectively, were collected from the Korean National Health Insurance Service-National Sample Cohort between 2002 and 2013. Participants were divided into groups according to statin adherence, calculated as the proportion of days covered (PDC; poor, moderate, good). The risk of ischemic and hemorrhagic stroke were analyzed using a Cox proportional hazards model. Individuals with poor PDC exhibited higher risks of ischemic and hemorrhagic stroke than those with good PDC (ischemic stroke: hazard ratio [HR] = 1.09, 95% confidence interval [CI] = 1.03–1.15, hemorrhagic stroke: HR = 1.37, 95% CI = 1.22–1.54). Women with poor PDC were at higher risk of ischemic stroke than those with good PDC (HR = 1.17, 95% CI = 1.09–1.26), while men with poor PDC exhibited a higher risk of hemorrhagic stroke than those with good PDC (HR = 1.55, 95% CI = 1.27–1.90). Individuals with disabilities who had poor PDC were at higher risk of ischemic stroke than those with good PDC (HR = 1.55, 95% CI = 1.24–1.93). ConclusionsWe detected a significant association between statin adherence and ischemic and hemorrhagic stroke risk. Therefore, hyperlipidemia patients should adhere to statin treatment; such interventions are required to reduce the stroke risk.

A shared decision‐making intervention by pharmacy students to improve statin adherence

AbstractIntroductionDespite the well‐established value of statins in reducing cardiovascular events, nearly half of patients fail to receive maximum benefit due to nonadherence. Studies indicate that motivational interviewing (MI) by pharmacy students can improve statin adherence. The benefit of incorporating an individualized approach, including shared‐decision making (SDM), is unknown, as is the student‐perceived value of this activity in their professional development.ObjectivesTo (a) measure the effect of an individualized telephone intervention conducted by pharmacy students in improving statin adherence and (b) assess the self‐reported value of intervention participation to guide continual quality improvement.MethodsA prospective, quality‐improvement project was conducted among patients receiving care at a university‐based healthcare system through a commercial or Medicare Advantage plan. Pharmacy claims data identified nonadherent patients based on a six‐month proportion of days covered (PDC) &lt;0.80 for statin prescriptions. A sample of these patients was randomly selected to receive the intervention from July 2019 to April 2020, while remaining patients served as controls. The intervention included 1‐2 telephone calls by pharmacy students to deliver individualized evidence‐based education, including SDM and MI strategies. Mean PDC change and proportion of patients converted to adherent (PDC≥0.80) were evaluated 6 months post‐intervention using the intention‐to‐treat principle.ResultsThere were 58 patients in the intervention group, 52 of whom (90%) received at least one telephone call, and 82 controls. Six months post‐intervention mean PDC increased significantly in the intervention vs control group (12.8% vs 0.7%, P = .004), and 66% of the intervention group were adherent compared to 41% of controls [P = .005, adjusted OR = 2.46 (1.20‐5.05)]. Seven students participated in the intervention, with 83% of survey responders reporting positive professional development value during the experience.ConclusionPharmacy trainees may successfully deliver individualized interventions capable of improving statin adherence while positively contributing to their professional development.

Association of Low-Density Lipoprotein Testing After an Atherosclerotic Cardiovascular Event with Subsequent Statin Adherence and Intensification

PurposeThis study aimed to evaluate associations between outpatient low-density lipoprotein cholesterol (LDL-C) testing and subsequent statin adherence and intensification in patients after an atherosclerotic cardiovascular (ASCVD) event. MethodsThis was a longitudinal study of adult members of Kaiser Permanente Northern California hospitalized with an ASCVD event (myocardial infarction or stroke) during January 01, 2016, to December 31, 2017, with follow-up through December 31, 2019. Outcomes were statin adherence (estimated using continuous medication gap [CMG]) and intensification (defined by an increased dose or switch to a higher-intensity statin) based on pharmacy dispensing. The exposure of interest was first outpatient LDL-C test after an ASCVD event. Baseline for follow-up was LDL-C test date or a date assigned using incidence density sampling. Multivariate logistic regression models were specified to estimate the odds ratios for statin adherence or intensification among those with vs without an LDL-C test, with adjustment for age, sex, race/ethnicity, smoking, hypertension, diabetes, body mass index, and estimated glomerular filtration rate. ResultsThere were 19,604 adults hospitalized with ASCVD, including 7054 adults not on high-intensity statins. The mean age was 69.5 years and 33.0% were female. Prevalence of good adherence (continuous medication gap ≤20%) was significantly higher (80.2% vs 75.9%; odds ratio 1.38; 95% confidence interval, 1.28-1.49; P <.001) among participants who had an LDL-C test compared with participants who did not. LDL-C testing was associated with significantly higher rates of treatment intensification (16.1% vs 10.7%; odds ratio 1.51; 95% confidence interval,1.29-1.76; P <0.001). ConclusionsLow-density lipoprotein cholesterol testing is recommended for patients with a history of ASCVD and may be a high-value and low-cost intervention to improve adherence and statin management.

Behavioral Nudges as Patient Decision Support for Medication Adherence: The ENCOURAGE Randomized Controlled Trial

Medication adherence is generally low and challenging to address because patient actions control healthcare delivery outside of medical environments. Behavioral nudging changes clinician behavior, but nudging patient decision-making requires further testing. This trial evaluated whether behavioral nudges can increase statin adherence, measured as the proportion of days covered (PDC). In a 12-month parallel-group, unblinded, randomized controlled trial, adult patients in Intermountain Healthcare cardiology clinics were enrolled. Inclusion required an indication for statins and membership in SelectHealth insurance. Subjects were randomized 1:1 to control or nudges. Nudge content, timing, frequency, and delivery route were personalized by CareCentra using machine learning of subject motivations and abilities from psychographic assessment, demographics, social determinants, and the Intermountain Mortality Risk Score. PDC calculation used SelectHealth claims data. Among 182 subjects, age averaged 63.2±8.5 years, 25.8% were female, baseline LDL-C was 82.5±32.7 mg/dL, and 93.4% had coronary disease. Characteristics were balanced between nudge (n=89) and control arms (n=93). The statin PDC was greater at 12 months in the nudge group (PDC: 0.742±0.318) compared to controls (PDC: 0.639±0.358, P=0.042). Adherent subjects (PDC ≥80%) were more concentrated in the nudge group (66.3% vs controls: 50.5%, P=0.036) while a composite of death, myocardial infarction, stroke, and revascularization was non-significant (nudges: 6.7% vs control: 10.8%, P=0.44). Persuasive behavioral nudges driven by artificial intelligence resulted in a clinically important increase in statin adherence in general cardiology patients. This precision patient decision support utilized computerized nudge design and delivery with minimal on-going human input.

Abstract 10918: Use of Mobile Health Technology in the Assessment of Statin-Associated Muscle Symptoms (SAMS)

Background: Statins are the cornerstone pharmacotherapy for lowering LDL-C and reducing risk of ASCVD. However, statin initiation and adherence are limited by statin-associated muscle symptoms (SAMS), posing significant clinical and public health dilemmas. Mobile health (mHealth) tools offer novel ways to assess real-time symptom data and share them back with patients to facilitate shared decision-making. Objective: To assess the feasibility and usability of an automated, text-message-based SAMS symptom-tracking platform to longitudinally track SAMS in patients who previously experienced muscle symptoms while on statin therapy. Methods: We enrolled 19 patients from 2 clinics at a single health system (Johns Hopkins; Baltimore, MD) and recorded baseline demographics, statin history and indication, perceptions of SAMS, and technology use via an online survey. Quantitative SAMS scores were gathered via daily text messages, and qualitative symptom data were collected in weekly text messages. Monthly symptom reports were sent to select participants via email on study days 30, 60 and 90. Upon study completion, participants reported perceptions of the study, the mHealth platform, and study measures via an online exit survey. Results: A total of 18 patients (aged 59.3 [SD 14.5] years, 67% women) collected data, and 15 patients completed the 90-day study protocol. Overall response rate to text messages was 91.5% (92.2% for daily SAMS messages, 86.0% for weekly muscle symptom prompts). Patients reported a statin adherence of 70%. Nine patients reported intolerable muscle symptoms at least once during the study, and intolerable symptom scores represented 3% of all reported symptom scores. Patients reported overall satisfaction with the study and found the SAMS scores helpful. Conclusions: Patients with previously reported SAMS successfully engaged with a text-message-based symptom-tracking platform with high interactivity and acceptability. This study demonstrates the feasibility and usability of an automated mHealth platform for longitudinally tracking SAMS in patients on statin therapy, and may provide a means for improving shared decision making to tailor statin therapy and improve adherence.

Statin Intolerance and Noncompliance: An Empiric Approach

Statin Intolerance and Noncompliance: An Empiric Approach

Effect of Financial Incentives for Process, Outcomes, or Both on Cholesterol Level Change

Financial incentives may improve health behaviors. It is unknown whether incentives are more effective if they target a key process (eg, medication adherence), an outcome (eg, low-density lipoprotein cholesterol [LDL-C] levels), or both. To determine whether financial incentives awarded daily for process (adherence to statins), awarded quarterly for outcomes (personalized LDL-C level targets), or awarded for process plus outcomes induce reductions in LDL-C levels compared with control. A randomized clinical trial was conducted from February 12, 2015, to October 3, 2018; data analysis was performed from October 4, 2018, to May 27, 2021, at the University of Pennsylvania Health System, Philadelphia. Participants included 764 adults with an active statin prescription, elevated risk of atherosclerotic cardiovascular disease, suboptimal LDL-C level, and evidence of imperfect adherence to statin medication. Interventions lasted 12 months. All participants received a smart pill bottle to measure adherence and underwent LDL-C measurement every 3 months. In the process group, daily financial incentives were awarded for statin adherence. In the outcomes group, participants received incentives for achieving or sustaining at least a quarterly 10-mg/dL LDL-C level reduction. The process plus outcomes group participants were eligible for incentives split between statin adherence and quarterly LDL-C level targets. Change in LDL-C level from baseline to 12 months, determined using intention-to-treat analysis. Of the 764 participants, 390 were women (51.2%); mean (SD) age was 62.4 (10.0) years, 310 (40.6%) had diabetes, 298 (39.0%) had hypertension, and mean (SD) baseline LDL-C level was 138.8 (37.6) mg/dL. Mean LDL-C level reductions from baseline to 12 months were -36.9 mg/dL (95% CI, -42.0 to -31.9 mg/dL) among control participants, -40.0 mg/dL (95% CI, -44.7 to -35.4 mg/dL) among process participants, -41.6 mg/dL (95% CI, -46.3 to -37.0 mg/dL) among outcomes participants, and -42.8 mg/dL (95% CI, -47.4 to -38.1 mg/dL) among process plus outcomes participants. In exploratory analysis among participants with diabetes and hypertension, no spillover effects of incentives were detected compared with the control group on hemoglobin A1c level and blood pressure over 12 months. In this randomized clinical trial, process-, outcomes-, or process plus outcomes-based financial incentives did not improve LDL-C levels vs control. ClinicalTrials.gov Identifier: NCT02246959.

Diabetes outcomes before and during telehealth advancements surrounding COVID-19

BackgroundPharmacists can optimize outcomes related to type-2 diabetes (T2D) by taking advantage of telehealth opportunities despite the coronavirus 2019 (COVID-19) Public Health Emergency (PHE). ObjectiveIdentify and compare changes in T2D outcomes before (August 2019 through February 2020) and during (March 2020 through October 2020) the COVID-19 PHE. Secondary objectives were to identify and compare pay-for-performance metrics and additional fee-for-service submitted in these patients. MethodsThis study examined changes in T2D outcomes at one primary care office within a community health system. Pharmacists started regularly using Remote Patient Monitoring (RPM) services during the COVID-19 PHE to reduce in-person visits. Patients with an initial glycosylated hemoglobin (A1C) greater than or equal to 8% were included. Data collected included comorbidities, change in A1C, and diabetes and statin medication therapy adherence. Percentage of Healthcare Effectiveness Data and Information Set (HEDIS) and Merit-Based Incentive Payment System (MIPS) measures were met, and billing code frequencies were also assessed. ResultsIn the pre–COVID-19 PHE group (N = 30), the average 3- and 6-month A1C reductions were 1.3% and 1.2%, respectively, and the reductions were 2.0% and 2.2% in the during-COVID-19 PHE group (N = 61). The percentage of patients appropriately initiated or maintained on statins was 96.2% in the pre–COVID-19 PHE group versus 82.6% in the during-COVID-19 PHE group. Related to HEDIS, statin adherence was 95.2% in the pre–COVID-19 PHE group and 84.2% in the during-COVID-19 PHE group, and A1C control was 41.7% versus 54%, respectively. A1C control related to MIPS was 60% before COVID-19 PHE versus 73.8% during the COVID-19 PHE. Diabetes medication adherence related to HEDIS and medication reconciliation related to MIPS was 100% for both groups. ConclusionData demonstrate the opportunity for pharmacists to maintain and improve clinical outcomes related to T2D despite the ongoing COVID-19 PHE through implementation of telephonic monitoring.

Systematic Review of RCTs Assessing the Effectiveness of mHealth Interventions to Improve Statin Medication Adherence: Using the Behaviour-Change Technique Taxonomy to Identify the Techniques That Improve Adherence.

Statin non-adherence is a common problem in the management of cardiovascular disease (CVD), increasing patient morbidity and mortality. Mobile health (mHealth) interventions may be a scalable way to improve medication adherence. The objectives of this review were to assess the literature testing mHealth interventions for statin adherence and to identify the Behaviour-Change Techniques (BCTs) employed by effective and ineffective interventions. A systematic search was conducted of randomised controlled trials (RCTs) measuring the effectiveness of mHealth interventions to improve statin adherence against standard of care in those who had been prescribed statins for the primary or secondary prevention of CVD, published in English (1 January 2000–17 July 2020). For included studies, relevant data were extracted, the BCTs used in the trial arms were coded, and a quality assessment made using the Risk of Bias 2 (RoB2) questionnaire. The search identified 17 relevant studies. Twelve studies demonstrated a significant improvement in adherence in the mHealth intervention trial arm, and five reported no impact on adherence. Automated phone messages were the mHealth delivery method most frequently used in effective interventions. Studies including more BCTs were more effective. The BCTs most frequently associated with effective interventions were “Goal setting (behaviour)”, “Instruction on how to perform a behaviour”, and “Credible source”. Other effective techniques were “Information about health consequences”, “Feedback on behaviour”, and “Social support (unspecified)”. This review found moderate, positive evidence of the effect of mHealth interventions on statin adherence. There are four primary recommendations for practitioners using mHealth interventions to improve statin adherence: use multifaceted interventions using multiple BCTs, consider automated messages as a digital delivery method from a credible source, provide instructions on taking statins, and set adherence goals with patients. Further research should assess the optimal frequency of intervention delivery and investigate the generalisability of these interventions across settings and demographics.

The relationship between directly measured statin adherence, self-reported adherence measures and cholesterol levels in patients with coronary heart disease

Background and aimsWe aimed to determine the relationship between statin adherence measured directly, and by self-report measures and serum cholesterol levels. MethodsPatients prescribed atorvastatin (N = 373) participated in a cross-sectional study 2–36 months after a coronary event. Self-reported adherence included statin adherence the past week, the 8-item Morisky medication adherence scale (MMAS-8), and the Gehi et al. adherence question. Atorvastatin was measured directly in spot blood plasma by a novel liquid chromatography tandem mass-spectrometry method discriminating adherence (0–1 doses omitted) and reduced adherence (≥2 doses omitted). Participants were unaware of the atorvastatin analyses at study participation. ResultsMean age was 63 (SD 9) years and 8% had reduced atorvastatin adherence according to the direct method. In patients classified with reduced adherence by the direct method, 40% reported reduced statin adherence, 32% reported reduced adherence with the MMAS-8 and 22% with the Gehi question. In those adherent by the direct method, 96% also reported high statin adherence, 95% reported high adherence on the MMAS-8 whereas 94% reported high adherence on the Gehi question. Cohen's kappa agreement score with the direct method was 0.4 for self-reported statin adherence, 0.3 for the Gehi question and 0.2 for the MMAS-8. Adherence determined by the direct method, self-reported statin adherence last week, and the Gehi question was inversely related to LDL-cholesterol levels with a p-value of <0.001, 0.001 and 0.004, respectively. ConclusionsPlasma-statin measurements reveal reduced adherence with higher sensitivity than self-report measures, relate to cholesterol levels, and may prove to be a useful tool to improve lipid management.

Associations of statin adherence and lipid targets with adverse outcomes in myocardial infarction survivors: a retrospective cohort study

ObjectivesTo examine associations between statin adherence and lipid target achievement in myocardial infarction (MI) survivors, and their associations with mortality and recurrent MIs.DesignRetrospective cohort study using linked clinical records within...

Survival benefit of coronary revascularization after myocardial perfusion SPECT: The role of ischemia

BackgroundSurvival benefit of revascularization over medical therapy (MT) in patients with stable ischemic heart disease (SIHD) is uncertain. We evaluated the prognostic effects of revascularization in patients with SIHD undergoing single-photon emission computed tomography myocardial perfusion imaging (SPECT-MPI). MethodsOf 47,894 patients, 7973 had ischemia ≥ 5% of the left ventricle. Of these, 1837 underwent early revascularization (≤ 60 days after SPECT-MPI). The rest were MT subgroup. Follow-up period was 4.04 ± 1.86 years. Statin therapy intensity and adherence were assessed. Outcomes were all-cause mortality, death + non-fatal myocardial infarction (MI), and MACE [major adverse cardiac event = death + MI + late revascularization (> 60 days after SPECT-MPI)]. ResultsAmong patients with moderate-severe ischemia (≥ 10%), death rate was lower in early revascularization compared to MT subgroup (1.42%/year vs 3.12%/year, adjusted hazard ratio (HR) 0.67 (95% CI 0.50-0.90, P = .008). Death + MI and MACE rates were also lower, adjusted HR 0.69 (0.55-0.88, P = .003) and 0.80 (0.69-0.92, P = .003). Revascularization was beneficial in optimal statin therapy subgroup (death rate 1.04%/year vs 2.36%/year, adjusted HR 0.51 (0.30-0.86, P = .012). In mild ischemia (5%-9%), revascularization did not improve survival or MI-free survival, and was associated with higher MACE rate (8.86%/year vs 7.67%/year, adjusted HR 1.30 (1.12-1.52, P < .001). ConclusionCompared to MT, revascularization was associated with reduced risk of death, death + MI, and MACE in patients with moderate-severe ischemia, incremental over optimal statin therapy. In mild ischemia, revascularization was associated with higher risk of MACE, driven by late revascularization, with no impact on death and death + MI.