Population Genomic Screening for Three Common Hereditary Conditions : A Cost-Effectiveness Analysis.

BACKGROUND: The cost-effectiveness of screening the U.S. population for Centers for Disease Control and Prevention (CDC) Tier 1 genomic conditions is unknown. OBJECTIVE: To estimate the cost-effectiveness of simultaneous genomic screening for Lynch syndrome (LS), hereditary breast and ovarian cancer syndrome (HBOC), and familial hypercholesterolemia (FH). DESIGN: Decision analytic Markov model. DATA SOURCES: Published literature. TARGET POPULATION: Separate age-based cohorts (ages 20 to 60 years at time of screening) of racially and ethnically representative U.S. adults. TIME HORIZON: Lifetime. PERSPECTIVE: U.S. health care payer. INTERVENTION: Population genomic screening using clinical sequencing with a restricted panel of high-evidence genes, cascade testing of first-degree relatives, and recommended preventive interventions for identified probands. OUTCOME MEASURES: Incident breast, ovarian, and colorectal cancer cases; incident cardiovascular events; quality-adjusted survival; and costs. RESULTS OF BASE-CASE ANALYSIS: Screening 100 000 unselected 30-year-olds resulted in 101 (95% uncertainty interval [UI], 77 to 127) fewer overall cancer cases and 15 (95% UI, 4 to 28) fewer cardiovascular events and an increase of 495 quality-adjusted life-years (QALYs) (95% UI, 401 to 757) at an incremental cost of $33.9 million (95% UI, $27.0 million to $41.1 million). The incremental cost-effectiveness ratio was $68 600 per QALY gained (95% UI, $41 800 to $88 900). RESULTS OF SENSITIVITY ANALYSIS: Screening 30-, 40-, and 50-year-old cohorts was cost-effective in 99%, 88%, and 19% of probabilistic simulations, respectively, at a $100 000-per-QALY threshold. The test costs at which screening 30-, 40-, and 50-year-olds reached the $100 000-per-QALY threshold were $413, $290, and $166, respectively. Variant prevalence and adherence to preventive interventions were also highly influential parameters. LIMITATIONS: Population averages for model inputs, which were derived predominantly from European populations, vary across ancestries and health care environments. CONCLUSION: Population genomic screening with a restricted panel of high-evidence genes associated with 3 CDC Tier 1 conditions is likely to be cost-effective in U.S. adults younger than 40 years if the testing cost is relatively low and probands have access to preventive interventions. PRIMARY FUNDING SOURCE: National Human Genome Research Institute.

Assessment and management of statin-associated muscle symptoms (SAMS): A clinical perspective from the National Lipid Association.

Statin-associated muscle symptoms (SAMS) are the most common form of statin intolerance and are associated with increased risk of cardiovascular events that manifest from statin underutilization and discontinuation. The reported frequencies of SAMS are divergent in the literature. The writing group estimates the prevalence of SAMS, namely all muscle symptoms temporally related to statin use but without regard to causality, to be about 10% (range 5% to 25%), and the prevalence of pharmacological SAMS, specifically muscle symptoms resulting from pharmacological properties of the statin, to be about 1-2% (range 0.5% to 4%). In clinical practice, SAMS are likely to result from a combination of pharmacological and nonpharmacological effects, however this does not make the symptoms any less clinically relevant. Regardless of the etiology, SAMS need to be addressed in accordance with patients' preferences and experiences. This clinical perspective reviews the epidemiology and underlying pathophysiology of SAMS, and the cardiovascular consequences resulting from statin discontinuation. We present patient-centered clinical and communication strategies to mitigate SAMS and improve medication adherence and outcomes among statin users. Treatment strategies include 1) optimizing lifestyle interventions, 2) modulating risk factors that may contribute to muscle symptoms, 3) optimizing statin tolerability by dose reduction, decreased dosing frequency, or use of an alternate statin with more favorable pharmacokinetic properties, and 4) use of non-statins, emphasizing those with evidence for atherosclerotic risk reduction, either in combination with or in place of statin therapy depending on the patient's circumstances. The focus of this clinical perspective is sustainable lipoprotein goal achievement, which is important for cardiovascular risk reduction.

Cost-effectiveness of population-wide genomic screening for familial hypercholesterolemia in the United States.

BACKGROUND: Population genomic screening for familial hypercholesterolemia (FH) in unselected individuals can prevent premature cardiovascular disease. OBJECTIVE: To estimate the clinical and economic outcomes of population-wide FH genomic screening versus no genomic screening. METHODS: We developed a decision tree plus 10-state Markov model evaluating the identification of patients with an FH variant, statin treatment status, LDL-C levels, MI, and stroke to compare the costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness of population-wide FH genomic screening. FH variant prevalence (0.4%) was estimated from the Geisinger MyCode Community Health Initiative (MyCode). Genomic test costs were assumed to be $200. Age and sex-based estimates of MI, recurrent MI, stroke, and recurrent stroke were obtained from Framingham risk equations. Additional outcomes independently associated with FH variants were derived from a retrospective analysis of 26,025 participants screened for FH. Sensitivity and threshold analyses were conducted to evaluate model assumptions and uncertainty. RESULTS: FH screening was most effective at younger ages; screening unselected 20-year-olds lead to 111 QALYs gained per 100,000 individuals screened at an incremental cost of $20 M. The incremental cost-effectiveness ratio (ICER) for 20-year-olds was $181,000 per QALY, and there was a 38% probability of cost-effectiveness at a $100,000 per QALY willingness-to-pay threshold. If genomic testing cost falls to $100, the ICER would be $91,000 per QALY. CONCLUSION: Population FH screening is not cost-effective at current willingness to pay thresholds. However, reducing test costs, testing at younger ages, or including FH within broader multiplex screening panels may improve clinical and economic value.

Evaluating implementation outcomes (acceptability, adoption, and feasibility) of two initiatives to improve the medication prior authorization process.

BACKGROUND: Processes such as prior authorization (PA) for medications, implemented by health insurance companies to ensure that safe, appropriate, cost-effective, and evidence-based care is provided to all members, have created inefficiencies within healthcare systems. Thus, healthcare systems have implemented supplemental processes to reduce burden and ensure efficiency, timeliness, and appropriate care. OBJECTIVE: Evaluate implementation outcomes of two initiatives related to PA for medications: a common record that records all PA-related information that was integrated into the health record and an auto-routing of specialty prescriptions to a hospital-owned specialty pharmacy. METHODS: We conducted semi-structured interviews with medical staff to understand their experience, acceptability, adoption, and feasibility of these initiatives guided by Proctor's Framework for Implementation Outcomes. Transcripts were analyzed using consensus coding. RESULTS: Eleven medical staff participated in semi-structured interviews. The two initiatives were analyzed together because the findings were similar across both for our outcomes of acceptability, adoption, and feasibility. Participants found the implemented initiatives to be acceptable and beneficial but felt there were still challenges with the new workflow. The initiatives were fully adopted by only one clinic site within the healthcare system, but limitations arose when adopting to another site. Individuals felt the initiatives were feasible and improved workflow, communication, and transparency. However, participants described future adaptations that would help improve this process including improved standardization, automation, and transparency. CONCLUSION: The acceptability, adoption, and feasibility of two initiatives to improve the PA process within the one clinical site were well received but issues of generalizability limited the initiatives adoption system wide.

Racial Disparities in Modifiable Risk Factors and Statin Usage in Black Patients With Familial Hypercholesterolemia.

Background Black men and women are at higher risk for, and suffer greater morbidity and mortality from, atherosclerotic cardiovascular disease (ASCVD) compared with adults of European Ancestry (EA). Black patients with familial hypercholesterolemia are at particularly high risk for ASCVD complications because of lifelong exposure to elevated levels of low-density-lipoprotein cholesterol. Methods and Results This retrospective study analyzed ASCVD prevalence and risk factors in 808 adults with heterozygous familial hypercholesterolemia from 5 US-based lipid clinics, and compared findings in Black versus EA patients. Multivariate logistic regression models were used to determine the strongest predictors of ASCVD as a function of race. No significant difference was noted in the prevalence of ASCVD in Black versus EA patients with familial hypercholesterolemia (39% versus 32%, respectively; P=0.15). However, Black versus EA patients had significantly greater prevalence of modifiable risk factors, including body mass index (mean, 32±7 kg/m2 versus 29±6 kg/m2; P<0.001), hypertension (82% versus 50%; P<0.001), diabetes (39% versus 15%; P<0.001), and current smoking (16% versus 8%; P=0.006). Black versus EA patients also had significantly lower usage of statins (61% versus 73%; P=0.004) and other lipid-lowering agents. In a fully adjusted multivariate model, race was not independently associated with ASCVD (odds ratio, 0.92; 95% CI, 0.60-1.49; P=0.72). Conclusions The strongest predictors of ASCVD in Black patients with familial hypercholesterolemia were hypertension and cigarette smoking. These data support wider usage of statins and other lipid-lowering therapies and greater attention to modifiable risk, specifically blood pressure management and smoking cessation.

Medications requiring prior authorization across health insurance plans.

OBJECTIVE: To determine the amount of variation in numbers and types of medications requiring prior authorization (PA) by insurance plan and type. METHODS: Most health insurance companies require PA for medications to ensure safe and effective use and contain costs. We generated 4 lists of medications that required PA during 2017 for commercial, marketplace, Medicaid, and Medicare plans. We aggregated medications according to the generic medication name equivalent using codes and medication names. We compared these medications to assess how many of the medications required PA by 1, 2, 3, or all 4 of the insurance plans. We counted all prescription orders written for a patient age 18 years or older with health plan insurance during 2017 for any of the medications that appeared on the health plan's PA lists by querying the electronic health record. RESULTS: PA was required for 600 unique medications in 2017 across the 4 plans. Of 691,457 prescription orders written for 114,159 members, 31,631 (5%) were written for 1 of the 600 medications that required PA by at least 1 insurance plan. There were 12,540 medication orders (written for 6,642 members) that potentially required PA. The marketplace plan required PA for the greatest number of medications (440), followed by the Medicare (272), commercial (271), and Medicaid (72) plans. The most commonly prescribed classes of medications for which PA was required by at least 1 plan were antihyperlipidemics (22% of orders potentially requiring PA), narcotic analgesics (13%), hypnotics (12%), antidiabetic medications (9%), and antidepressants (9%). For only 25% of medications (151 of 600) was PA required by at least 3 plans, and for only 5% (32 of 600) was PA required by all 4 insurance types. CONCLUSION: Medications requiring PA can differ within a single health insurance company, but this variation may be unavoidable due to external factors.

Current interventions to promote safe and appropriate pain management.

PURPOSE: Describe patient-, clinician-, system-, and community-level interventions for pain management developed and employed by 9 healthcare systems across the United States and report on lessons learned from the implementation of these interventions. SUMMARY: The high cost associated with pain coupled with the frequent use of opioid analgesics as primary treatment options has made novel pain management strategies a necessity. Interventions that target multiple levels within healthcare are needed to help combat the opioid epidemic and improve strategies to manage chronic pain. Patient-level interventions implemented ranged from traditional paper-based educational tools to videos, digital applications, and peer networks. Clinician-level interventions focused on providing education, ensuring proper follow-up care, and establishing multidisciplinary teams that included prescribers, pharmacists, nurses, and other healthcare professionals. System- and community-level interventions included metric tracking and analytics, electronic health record tools, lockbox distribution for safe storage, medication return bins for removal of opioids, risk assessment tool utilization, and improved access to reversal agents. CONCLUSION: Strategies to better manage pain can be implemented within health systems at multiple levels and on many fronts; however, these changes are most effective when accepted and widely used by the population for which they are targeted.

Understanding the medication prior-authorization process: A case study of patients and clinical staff from a large rural integrated health delivery system.

PURPOSE: The barriers and solutions to the current prior-authorization (PA) process at an integrated health system were evaluated. METHODS: Focus groups were conducted with patients at an integrated health system who also had insurance from an affiliated health plan and at least 1 denial for a medication in the past year. Semistructured interviews were conducted with medical staff (physicians, office staff, and PA experts). Both focus groups and interviews were audio-recorded and transcribed. Inductive analysis was used to code transcripts and develop themes. RESULTS: Three focus groups were conducted with 13 patients, and 9 medical staff (3 staff physicians, 2 office staff, and 4 PA staff) who have interactions with the PA process interviewed. Several themes were identified including the complexity of the PA process, consequences experienced, and ineffective communication between key stakeholders. A cross-cutting theme was that stakeholders expressed feelings of frustration, anxiety, and anger throughout the PA process. All stakeholders offered insights on how the process could be improved to better facilitate their preferences, such as access to the list of medications that require PA and the need for a patient advocate. CONCLUSION: Results of this study revealed that the PA process was frustrating, upsetting, and infuriating to patients and medical staff involved in the process. Three main themes identified included the complexity of the PA process, consequences experienced from the PA process, and ineffective communication between stakeholders.

Enhancing the value of PCSK9 monoclonal antibodies by identifying patients most likely to benefit. A consensus statement from the National Lipid Association.

Acquisition costs and cost-effectiveness have limited access and recommendations to use proprotein convertase subtilisin/kexin type 9 (PCSK9)-inhibiting monoclonal antibodies (mAbs). Recently, prices were reduced by 60% for alirocumab and evolocumab. This statement systematically reviewed subgroup analyses from statin and PCSK9 mAb trials to identify higher risk groups for which PCSK9 mAbs at the new price could be considered a reasonable (

Hidden Burden of Electronic Health Record-Identified Familial Hypercholesterolemia: Clinical Outcomes and Cost of Medical Care.

Background Familial hypercholesterolemia ( FH ), is a historically underdiagnosed, undertreated, high-risk condition that is associated with a high burden of cardiovascular morbidity and mortality. In this study, we use a population-based approach using electronic health record ( EHR )-based algorithms to identify FH . We report the major adverse cardiovascular events, mortality, and cost of medical care associated with this diagnosis. Methods and Results In our 1.18 million EHR- eligible cohort, International Classification of Diseases, Ninth Revision ( ICD -9) code-defined hyperlipidemia was categorized into FH and non- FH groups using an EHR algorithm designed using the modified Dutch Lipid Clinic Network criteria. Major adverse cardiovascular events, mortality, and cost of medical care were analyzed. A priori associated variables/confounders were used for multivariate analyses using binary logistic regression and linear regression with propensity score-based weighted methods as appropriate. EHR FH was identified in 32 613 individuals, which was 2.7% of the 1.18 million EHR cohort and 13.7% of 237 903 patients with hyperlipidemia. FH had higher rates of myocardial infarction (14.77% versus 8.33%; P<0.0001), heart failure (11.82% versus 10.50%; P<0.0001), and, after adjusting for traditional risk factors, significantly correlated to a composite major adverse cardiovascular events variable (odds ratio, 4.02; 95% CI, 3.88-4.16; P<0.0001), mortality (odds ratio, 1.20; CI, 1.15-1.26; P<0.0001), and higher total revenue per-year (incidence rate ratio, 1.30; 95% CI, 1.28-1.33; P<0.0001). Conclusions EHR -based algorithms discovered a disproportionately high prevalence of FH in our medical cohort, which was associated with worse outcomes and higher costs of medical care. This data-driven approach allows for a more precise method to identify traditionally high-risk groups within large populations allowing for targeted prevention and therapeutic strategies.

Utilizing big data to provide better health at lower cost.

PURPOSE: The efficient use of big data in order to provide better health at a lower cost is described. SUMMARY: As data become more usable and accessible in healthcare, organizations need to be prepared to use this information to positively impact patient care. In order to be successful, organizations need teams with expertise in informatics and data management that can build new infrastructure and restructure existing infrastructure to support quality and process improvements in real time, such as creating discrete data fields that can be easily retrieved and used to analyze and monitor care delivery. Organizations should use data to monitor performance (e.g., process metrics) as well as the health of their populations (e.g., clinical parameters and health outcomes). Data can be used to prevent hospitalizations, combat opioid abuse and misuse, improve antimicrobial stewardship, and reduce pharmaceutical spending. These examples also serve to highlight lessons learned to better use data to improve health. For example, data can inform and create efficiencies in care and engage and communicate with stakeholders early and often, and collaboration is necessary to have complete data. To truly transform care so that it is delivered in a way that is sustainable, responsible, and patient-centered, health systems need to act on these opportunities, invest in big data, and routinely use big data in the delivery of care. CONCLUSION: Using data efficiently has the potential to improve the care of our patients and lower cost. Despite early successes, barriers to implementation remain including data acquisition, integration, and usability.

Medication therapy disease management: Geisinger's approach to population health management.

PURPOSE: Pharmacists' involvement in a population health initiative focused on chronic disease management is described. SUMMARY: Geisinger Health System has cultivated a culture of innovation in population health management, as highlighted by its ambulatory care pharmacy program, the Medication Therapy Disease Management (MTDM) program. Initiated in 1996, the MTDM program leverages pharmacists' pharmacotherapy expertise to optimize care and improve outcomes. MTDM program pharmacists are trained and credentialed to manage over 16 conditions, including atrial fibrillation (AF) and multiple sclerosis (MS). Over a 15-year period, Geisinger Health Plan (GHP)-insured patients with AF whose warfarin therapy was managed by the MTDM program had, on average, 18% fewer emergency department (ED) visits and 18% fewer hospitalizations per year than GHP enrollees with AF who did not receive MTDM services, with 23% lower annual total care costs. Over a 2-year period, GHP-insured patients with MS whose pharmacotherapy was managed by pharmacists averaged 28% fewer annual ED visits than non-pharmacist-managed patients; however, the mean annual total care cost was 21% higher among MTDM clinic patients. CONCLUSION: The Geisinger MTDM program has evolved over 20 years from a single pharmacist-run anticoagulation clinic into a large program focused on managing the health of an ever-growing population. Initial challenges in integrating pharmacists into the Geisinger patient care framework as clinical experts were overcome by demonstrating the MTDM program's positive impact on patient outcomes.