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Introduction: Despite their effectiveness in reducing low-density lipoprotein cholesterol and cardiovascular disease risk, high-intensity statins are underutilized among adults with low-density lipoprotein cholesterol ≥190 mg/dL. This study determined whether a safety net program (SureNet) facilitating medication and laboratory test orders improved statin initiation and laboratory test completions after (SureNet period: April 2019-September 2021) and before implementation (pre-SureNet period: January 2016-September 2018)., Methods: Kaiser Permanente Southern California members aged 20-60 years with low-density lipoprotein cholesterol ≥190 mg/dL and no statin use in previous 2-6 months were included in this retrospective cohort study. Statin orders within 14 days and statin fills, laboratory test completions, and improved low-density lipoprotein cholesterol within 180 days of the high low-density lipoprotein cholesterol (pre-SureNet) or outreach (SureNet period) were compared. Analyses were conducted in 2022., Results: Overall, 3,534 and 3,555 adults were eligible for statin initiation during the pre-SureNet and SureNet periods, respectively. Overall, 759 (21.5%) and 976 (27.5%) had a statin approved by their physician during pre-SureNet and SureNet periods, respectively (p<0.001). After multivariable adjustment for demographics and clinical characteristics, adults during the SureNet period had a higher likelihood of receiving a statin order (prevalence ratio=1.36, 95% CI=1.25, 1.48), filling their statin (prevalence ratio=1.32, 95% CI=1.26, 1.38), completing their laboratories (prevalence ratio=1.41, 95% CI=1.26, 1.58), and improving low-density lipoprotein cholesterol (prevalence ratio=1.21, 95% CI=1.07, 1.37) than in pre-Surenet period., Conclusions: The SureNet program was able to improve prescription orders, fills, laboratory test completions, and lower low-density lipoprotein cholesterol. Optimizing both physician adherence to treatment guidelines; and patient adherence to the program may improve low-density lipoprotein cholesterol lowering., (Copyright © 2023 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Purpose: Implementation of the 2013 ACC/AHA cholesterol treatment guideline is likely to vary by statin benefit group. The aim of this study was to document trends in statin use before and after introduction of the ACC/AHA guideline., Methods: We conducted a retrospective study with annual cohorts from 2009 to 2015 among members of Kaiser Permanente Southern California aged ≥ 21 years. Members were categorized into four mutually exclusive statin benefit groups: atherosclerotic cardiovascular disease (ASCVD), LDL-C ≥ 190 mg/dL in the last year, diabetes (aged 40-75 years), and 10-year ASCVD risk ≥ 7.5% (aged 40-75 years)., Results: The cohorts ranged from 1,993,755 members in 2009 to 2,440,429 in 2015. Approximately 5% of patients had ASCVD, 1% had LDL-C ≥ 190 mg/dL, 6% had diabetes, and 10% had a 10-year ASCVD risk ≥ 7.5% each year. Trends in statin use were stable for adults with ASCVD (2009 78%; 2015 80%), recent LDL-C ≥ 190 mg/dL (2009 45%; 2015 44%), and diabetes (2009 74%; 2015 73%), but increased for patients with 10-year ASCVD risk ≥ 7.5% (2009 36%; 2015 47%). High-intensity statin use also increased 142% and 54% among patients with LDL-C ≥ 190 mg/dL and those with ASCVD ≤ 75 years of age, respectively. Moderate-to-high intensity statin utilization increased over 50% among those with a 10-year ASCVD risk ≥ 7.5%., Conclusions: Statin use increased substantially among patients with 10-year ASCVD risk ≥ 7.5% and use of appropriate statin dosage increased in each of the four statin benefit groups between 2009 and 2015; however, there is room for improvement.

Purpose: A substantial percentage of patients report intolerance or side effects of statin treatment leading to treatment changes or discontinuation. The purpose of this study was to examine statin therapy changes and subsequent effects on low-density lipoprotein cholesterol (LDL-C) among patients with statin intolerance (SI)., Methods: We identified 45,037 adults from Kaiser Permanente Southern California with SI documented between 2006 and 2012. Changes in statin therapy in the year before and after the SI index date were examined. We categorized patients into those who initiated statin therapy, discontinued, up-titrated, down-titrated, or did not switch therapy. We calculated the percentage change in LDL-C from the year before to the year after SI, and the percentage of patients attaining LDL-C < 100 and < 70 mg/dL., Results: In the year prior to the SI date, 77.8% of patients filled a statin prescription. Following SI, 44.6% had no treatment change, 25.5% discontinued, and 30.0% altered their statin therapy. Of those who altered statin therapy, 52.6% down-titrated and 17.2% up-titrated their dose. Rhabdomyolysis was documented in < 1% of the cohort. The largest changes in LDL-C were experienced by patients who were on a high-intensity statin then discontinued treatment (35.6% increase) and those who initiated a high-intensity statin (25.5% decrease). The proportion of patients achieving LDL-C < 100 mg/dL and LDL-C < 70 mg/dL was the lowest among those who discontinued therapy., Conclusions: Although adjustments to the statin dosage may be appropriate upon documentation of SI, many of these patients will have high LDL-C. Strategies for LDL-C reduction in patients with SI may be necessary.

The objective of this study was to evaluate the effectiveness of an automated telephone system reminding patients with hypertension and/or cardiovascular disease to obtain overdue medication refills. The authors compared the intervention with usual care among patients with an overdue prescription for a statin or lisinopril-hydrochlorothiazide (lisinopril-HCTZ). The primary outcome was refill rate at 2 weeks. Secondary outcomes included time to refill and change in low-density lipoprotein cholesterol and blood pressure. Significantly more patients who received a reminder call refilled their prescription compared with the usual-care group (statin cohort: 30.3% vs 24.9% [P<.0001]; lisinopril-HCTZ cohort: 30.7% vs 24.2% [P<.0001]). The median time to refill was shorter in patients receiving the reminder call (statin cohort: 29 vs 36 days [P<.0001]; lisinopril-HCTZ cohort: 24 vs 31 days [P<.0001]). There were no statistically significant differences in mean low-density lipoprotein cholesterol and blood pressure. These findings suggest the need for interventions that have a longer-term impact., (© 2015 Wiley Periodicals, Inc.)

Objectives: To examine the relationship between low-density lipoprotein cholesterol (LDL-C) goal attainment and adherence to statin medications in patients with coronary artery disease (CAD)., Study Design: Cross-sectional study of CAD patients 18 years of age or older in an integrated healthcare system., Methods: Patients dispensed 2 or more statin prescriptions between May 2009 and May 2010, were identified. Medication possession ratio (MPR) was calculated to estimate adherence. The LDL-C value closest to May 27, 2010, was used to determine goal. Adherence and LDL-C goal were defined as 80% or greater MPR and less than 100 mg/dL or less than 70 mg/dL, respectively. Electronic medical records were used to identify patient demographics and clinical information. Logistic regression was used to estimate the effect of these factors on goal attainment., Results: A total of 67,100 CAD patients were identified. Overall, 85.8% had LDL-C less than 100 mg/dL, 32.4% had LDL less than 70 mg/dL, and 79.8% were adherent to their statin medication. Over 65% of patients not at LDL-C goal less than 100 mg/dL were adherent. Among patients with LDL-C less than 100 mg/dL, 17.9% were not adherent. Increasing medication adherence was associated with improved LDL-C levels. Adherence to statins, male sex, Asian and Hispanic race/ethnicity, a higher number of concurrent prescriptions, higher Charlson Comorbidity Index, and hypertension were associated with LDL-C goal attainment., Conclusions: Incorporating LDL-C levels and medication adherence at the point of care allows providers to focus interventions to address either adherence challenges or the need for medication titration in an effort to improve LDL-C goal attainment and ultimately reduce morbidity and mortality.

The workshop discussions focused on how low-density lipoprotein cholesterol (LDL-C) goal attainment can be enhanced with the use of health information technology (HIT) in different clinical settings. A gap is acknowledged in LDL-C goal attainment, but because of the passage of the American Recovery & Reinvestment Act and the Health Information Technology for Economic and Clinical Health Acts there is now reason for optimism that this gap can be narrowed. For HIT to be effectively used to achieve treatment goals, it must be implemented in a setting in which the health care team is fully committed to achieving these goals. Implementation of HIT alone has not resulted in reducing the gap. It is critical to build an effective management strategy into the HIT platform without increasing the overall work/time burden on staff. By enhancing communication between the health care team and the patient, more timely adjustments to treatment plans can be made with greater opportunity for LDL-C goal attainment and improved efficiency in the long run. Patients would be encouraged to take a more active role. Support tools are available. The National Lipid Association has developed a toolkit designed to improve patient compliance and could be modified for use in an HIT system. The importance of a collaborative approach between nongovernmental organizations such as the National Lipid Association, National Quality Forum, HIT partners, and other members of the health care industry offers the best opportunity for long-term success and the real possibility that such efforts could be applied to other chronic conditions, for example, diabetes and hypertension., (Copyright © 2013 National Lipid Association. Published by Elsevier Inc. All rights reserved.)

Background: Primary nonadherence to a medication occurs when a drug is prescribed but the patient fails to pick the prescription up from the pharmacy. Managed care organizations that provide integrated care using electronic medical records (EMR) are an ideal setting to study primary nonadherence. , Objective: To identify patient and provider characteristics that are significantly associated with primary nonadherence to statin medications compared with a population of patients who picked up their first statin order.  , Methods: This was a retrospective cohort study of patients with a new statin prescription. Patients with a new order for a statin prescription between December 1, 2009, and February 28, 2010, were eligible. A statin order was considered new if the patient had no statin prescriptions in the previous 12 months. Study participants were 24 years and older with 12 months of continuous membership prior to the statin order. Patients were defined as primary nonadherent if they did not pick up their new prescription within 90 days. Descriptive and multivariate (conditional logistic regression) analyses of patients who did and did not pick up their new statin prescriptions were performed using demographic and socioeconomic information, health care utilization, health conditions, medical benefits, and prescriber characteristics.  , Results: A total of 19,826 patients with a new statin order that met all of the inclusion and exclusion criteria was identified. Of these, 3,049 patients (15.4%) did not pick up their statin prescriptions within 90 days of the order date. Primary nonadherent patients tended to be younger (55 vs. 57 years, P  less than  0.001) and healthier, with fewer comorbid conditions (Charlson Comorbidity Index ≥ 1, 42.2% vs. 52.3%, P  less than  0.001), lower rates of hospitalizations (7.2% vs. 12.0%, P  less than  0.001), fewer concurrent prescriptions (3 vs. 4, P  less than  0.001) and fewer clinic (4 vs. 5, P  less than  0.001) and emergency department visits (18.2% vs. 24.6%, P  less than  0.001) in the prior year than adherent patients. Although the multivariate model agreed well with the observed data, the characteristics included had a poor ability to predict primary nonadherence (c-statistic = 0.603).  , Conclusion: Primary nonadherence has been recognized as a significant problem for many years, and electronic health records are allowing researchers to investigate the extent of the problem. In this study, almost 1 in 6 patients (15.4%) failed to pick up their new statin order within 90 days. However, clinical and demographic information available in electronic health care data may not be useful in predicting primary nonadherence. New methods and interventions need to be developed to improve primary adherence.

Objectives: To identify self-reported reasons for not filling a new prescription for statin therapy., Study Design: A cross-sectional telephone survey., Methods: Potential participants were identified from a randomized, controlled trial among Kaiser Permanente Southern California (KPSC) members aged >24 years with no record of redeeming a new statin medication, defined as primary nonadherence. Among 1158 eligible patients, 98 were randomly selected and participated in a semi-structured telephone interview that included questions on whether the respondent redeemed their statin prescription, why the patient may have chosen not to use a KPSC pharmacy, reasons for not filling the prescription, use of non-prescription products for elevated cholesterol levels, and questions to assess health literacy., Results: At 12 weeks post-index prescription date, 75% of 98 respondents reported not filling their new statin prescription, 20% reported picking it up from a non-KPSC pharmacy, 4% had already picked up the prescription at a KPSC pharmacy, and 1% did not know if it had been filled. The 3 most commonly cited reasons for primary nonadherence were general concerns about taking the medication (63%), a decision to try lifestyle modifications (63%), and fear of side effects (53%). A substantial proportion (33%) of respondents reported inadequate health literacy., Conclusions: These data suggest the need for interventions that address patients' negative perceptions of statins while emphasizing the benefits of statin therapy for reducing cardiovascular morbidity and mortality in formats accessible to those with limited health literacy.

Background: Primary nonadherence occurs when new prescriptions are not dispensed. Little is known about how to reduce primary nonadherence. We performed a randomized controlled trial to evaluate an automated system to decrease primary nonadherence to statins for lowering cholesterol., Methods: Adult members of Kaiser Permanente Southern California with no history of statin use within the past year who did not fill a statin prescription after 1 to 2 weeks were passively enrolled. The intervention group received automated telephone calls followed 1 week later by letters for continued nonadherence; the control group received no outreach. The primary outcome was a statin dispensed up to 2 weeks after delivery of the letter. Secondary outcomes included refills at intervals up to 1 year. Intervention effectiveness was determined by intent-to-treat analysis and Fisher exact test. Subgroups were examined using logistic regression., Results: There were 2606 participants in the intervention group and 2610 in the control group. Statins were dispensed to 42.3% of intervention participants and 26.0% of control participants (absolute difference, 16.3%; P < .001). The relative risk for the intervention vs control group was 1.63 (95% CI, 1.50-1.76). Intervention effectiveness varied slightly by age (P = .045) but was effective across all age strata. Differences in the frequency of statin dispensations persisted up to 1 year (P < .001)., Conclusions: The intervention was effective in reducing primary nonadherence to statin medications. Because of low marginal costs for outreach, this strategy appears feasible for reducing primary nonadherence. This approach may generalize well to other medications and chronic conditions.