Population health management of low-density lipoprotein cholesterol via a remote, algorithmic, navigator-executed program.

BACKGROUND: Implementation of guideline-directed cholesterol management remains low despite definitive evidence establishing such measures reduce cardiovascular (CV) events, especially in high atherosclerotic CV disease (ASCVD) risk patients. Modern electronic resources now exist that may help improve health care delivery. While electronic medical records (EMR) allow for population health screening, the potential for coupling EMR screening to remotely delivered algorithmic population-based management has been less studied as a way of overcoming barriers to optimal cholesterol management. METHODS: In an academically affiliated healthcare system, using EMR screening, we sought to identify 1,000 high ASCVD risk patients not meeting guideline-directed low-density lipoprotein-cholesterol (LDL-C) goals within specific system-affiliated primary care practices. Contacted patients received cholesterol education and were offered a remote, guideline-directed, algorithmic cholesterol management program executed by trained but non-licensed "navigators" under professional supervision. Navigators used telephone, proprietary software and internet resources to facilitate algorithm-driven, guideline-based medication initiation/titration, and laboratory testing until patients achieved LDL-C goals or exited the program. As a clinical effectiveness program for cholesterol guideline implementation, comparison was made to those contacted patients who declined program-based medication management, and received education only, along with their usual care. RESULTS: 1021 patients falling into guideline-defined high ASCVD risk groups warranting statin therapy (ASCVD, type 2 diabetes, LDL ≥ 190 mg/dL, calculated 10-year ASCVD risk ≥7.5%) and not achieving guideline-defined target LDL-C levels and/or therapy were identified and contacted. Among the 698 such patients who opted for program medication management, significant LDL-C reductions occurred in the total cohort (mean -65.4 mg/dL, 45% decrease), and each high ASCVD risk subgroup: ASCVD (-57.2 mg/dL, -48.0%); diabetes mellitus (-53.1 mg/dL, -40.0%); severe hypercholesterolemia (-76.3 mg/dL, -45.7%); elevated ASCVD 10-year risk (-62.8 mg/dL, -41.1%) (P<0.001 for all), without any significant complications. Among 20% of participants with reported statin intolerance, average LDL-C decreased from baseline 143 mg/dL to 85 mg/dL using mainly statins and ezetimibe, with limited PCSK9 inhibitor use. In comparison, eligible high ASCVD risk patients who were contacted but opted for education only, a 17% LDL-C decrease occurred over a similar timeframe, with 80% remaining with an LDL-C over 100 mg/dL. CONCLUSIONS: A remote, algorithm-driven, navigator-executed cholesterol management program successfully identified high ASCVD risk undertreated patients using EMR screening and was associated with significantly improved guideline-directed LDL-C control, supporting this approach as a novel strategy for improving health care access and delivery.

Declines in Opioid Prescribing After a Private Insurer Policy Change - Massachusetts, 2011-2015.

Overdose deaths involving opioid pain medications are epidemic in the United States, in part because of high opioid prescribing rates and associated abuse of these drugs (1). In 2014, nearly 2 million U.S. residents either abused or were dependent on prescription opioids (2). In Massachusetts, unintentional opioid-related overdose deaths, including deaths involving heroin, increased 45% from 2012 to 2013.* In 2014, the rate of these deaths reached 20.0 per 100,000, nearly 2.5 times higher than the U.S. rate overall (3,4). On July 1, 2012, Blue Cross Blue Shield of Massachusetts (BCBSMA), the largest insurer in the state with approximately 2.8 million members,† implemented a comprehensive opioid utilization program after learning that many of its members were receiving new prescriptions with a >30-day supply of opioids. The 2016 CDC Guideline for Prescribing Opioids for Chronic Pain recommends avoiding opioids as a first-line therapy for chronic pain and limiting quantities when initiating opioids for acute pain (5). CDC analyzed BCBSMA prescription claims data for the period 2011-2015 to assess the effect of the new utilization program on opioid prescribing rates. During the first 3 years after policy implementation, the average monthly prescribing rate for opioids decreased almost 15%, from 34 per 1,000 members to 29. The percentage of BCBSMA members per month with current opioid prescriptions also declined. The temporal association between implementation of the program and statistically significant declines in both prescribing rates and proportion of members using opioids suggests that the BCBSMA initiative played a role in reducing the use of prescription opioids among its members. Public and private insurers in the United States could benefit from developing their own best practices for prescription opioid utilization that ensure accessible pain care, while reducing the risk for dependence and abuse associated with these drugs.

Characteristics Associated with In-Hospital Death among Commercially Insured Decedents with Cancer.

BACKGROUND: A majority of patients with poor-prognosis cancer express a preference for in-home death; however, in-hospital deaths are common. OBJECTIVE: We sought to identify characteristics associated with in-hospital death. DESIGN: Case series. SETTING/SUBJECTS: Commercially insured patients with cancer who died between July 2010 and December 2013 and who had at least two outpatient visits at a tertiary cancer center during the last six months of life. MEASUREMENTS: Patient characteristics, healthcare utilization, and in-hospital death (primary outcome) were ascertained from institutional records and healthcare claims. Bivariate and multivariable analyses were used to evaluate the association of in-hospital death with patient characteristics and end-of-life outcome measures. RESULTS: We identified 904 decedents, with a median age of 59 years at death. In-hospital death was observed in 254 patients (28%), including 110 (12%) who died in an intensive care unit. Hematologic malignancy was associated with a 2.57 times increased risk of in-hospital death (95% confidence interval [CI] 1.91-3.45, p < 0.001), and nonenrollment in hospice was associated with a 14.5 times increased risk of in-hospital death (95% CI 9.81-21.4, p < 0.001). Time from cancer diagnosis to death was also associated with in-hospital death (p = 0.003), with the greatest risk among patients dying within six months of cancer diagnosis. All significant associations persisted in multivariable analyses that were adjusted for baseline characteristics. CONCLUSIONS: In-hospital deaths are common among commercially insured cancer patients. Patients with hematologic malignancy and patients who die without receiving hospice services have a substantially higher incidence of in-hospital death.

Novel Data Sharing Between a Comprehensive Cancer Center and a Private Payer to Better Understand Care at the End of Life.

CONTEXT: Understanding end-of-life (EOL) care patterns is a prerequisite to improving the experience for cancer patients. EOL measures endorsed by the National Quality Forum (NQF) have been examined in older patients using Medicare claims. OBJECTIVES: To evaluate EOL care for patients treated at a comprehensive cancer center, using private payer claims data. METHODS: A retrospective cohort study was conducted of Dana-Farber Cancer Institute (DFCI) patients who died between July 2010 and December 2012, and were insured by Blue Cross Blue Shield of Massachusetts. Primary data sources included Blue Cross Blue Shield of Massachusetts claims information and DFCI administrative data. We assessed NQF-endorsed measures of EOL care related to emergency department visits, hospitalizations, and intensive care unit admissions in the last 30 days, chemotherapy in the last 14 days, hospice stay, and death in an acute care setting. Patterns of care by cancer type and service location were determined. RESULTS: Among 674 patients (mean age 58 years), event rates for NQF-endorsed EOL measures were similar to those reported using Medicare claims. Decedents with hematologic malignancies received significantly more intensive care and were less likely to have enrolled in hospice, compared to decedents with solid tumors. Thirty to 45% of EOL events occurred outside of DFCI and its affiliated hospitals. CONCLUSION: Data sharing between a private payer and a large cancer center proved feasible and informative. High rates of hospital service use outside of our sites of care were unexpected. The findings suggest opportunities to better manage care at the end of life.

Understanding Oral Chemotherapy Prescribing Patterns at the End of Life at a Comprehensive Cancer Center: Analysis of a Massachusetts Payer Claims Database.

PURPOSE: Receipt of chemotherapy in the last 14 days of life is a measure of potential overuse of care. Specific measures defining appropriate end-of-life use of oral agents have not yet been described, and little is known about prescribing patterns. METHODS: We conducted an exploratory analysis of 371 patients at Dana-Farber Cancer Institute who were covered by the Blue Cross Blue Shield of Massachusetts pharmacy benefit and died during 2012 to 2013. We analyzed processed claims as a surrogate for chemotherapy administration. We compared oral with parenteral chemotherapy claims in the last 6 months of life. RESULTS: In the last 6 months of life, 294 patients (79%) had chemotherapy claims, including 81 (22%) prescribed an oral agent; 20 patients had claims for oral chemotherapy in the last 30 days of life. For eight patients (40%), this was the initial start of that oral agent. In the last 14 days of life, only 23 patients had chemotherapy claims, including six patients prescribed an oral agent. CONCLUSION: The collection of oral chemotherapy use data through insurance claims was feasible. Processed claims for chemotherapy, including oral, sharply declined during the last 30 days of life, consistent with a shift to palliative management. These results highlight the need for a more comprehensive analysis of oral chemotherapy prescribing patterns and development of specific measures to define the appropriate use of oral chemotherapy at the end of life.