Cost-effectiveness of early cancer surveillance for patients with Li-Fraumeni syndrome.

INTRODUCTION: Patients with germline TP53 pathogenic variants (Li-Fraumeni syndrome [LFS]) are at extremely high lifetime risk of developing cancer. Recent data suggest that tumor surveillance for patients with LFS may improve survival through early cancer detection. The objective of this study was to assess the cost-effectiveness of a cancer surveillance strategy for patients with LFS compared with those whose tumors present clinically. METHODS: A Markov decision analytic model was developed from a third-party payer perspective to estimate cost-effectiveness of routine cancer surveillance over a patient's lifetime. The model consisted of four possible health states: no cancer, cancer, post-cancer survivorship, and death. Model outcomes were costs (2015 United States Dollars [USD]), effectiveness (life years [LY] gained), and incremental cost-effectiveness ratio (ICER; change in cost/LY gained). One-way sensitivity analyses and probabilistic sensitivity analyses examined parameter uncertainty. RESULTS: The model showed a mean cost of $46 496 and $117 102 and yielded 23 and 27 LY for the nonsurveillance and surveillance strategies, respectively. The ICER for early cancer surveillance versus no surveillance was $17 125 per additional LY gained. At the commonly accepted willingness to pay threshold of $100 000/life-year gained, surveillance had a 98% probability of being the most cost-effective strategy for early cancer detection in this high-risk population. CONCLUSIONS: Presymptomatic cancer surveillance is cost-effective for patients with germline pathogenic variants in TP53. Lack of insurance coverage or reimbursement in this population may have significant consequences and leads to undetected cancers presenting in later stages of disease with worse clinical outcomes.

Can Cost-effectiveness Analysis Inform Genotype-Guided Aspirin Use for Primary Colorectal Cancer Prevention?

BACKGROUND: Inherited genetic variants can modify the cancer-chemopreventive effect of aspirin. We evaluated the clinical and economic value of genotype-guided aspirin use for colorectal cancer chemoprevention in average-risk individuals. METHODS: A decision analytical model compared genotype-guided aspirin use versus no genetic testing, no aspirin. The model simulated 100,000 adults ≥50 years of age with average colorectal cancer and cardiovascular disease risk. Low-dose aspirin daily starting at age 50 years was recommended only for those with a genetic test result indicating a greater reduction in colorectal cancer risk with aspirin use. The primary outcomes were quality-adjusted life-years (QALY), costs, and incremental cost-effectiveness ratio (ICER). RESULTS: The mean cost of using genotype-guided aspirin was $187,109 with 19.922 mean QALYs compared with $186,464 with 19.912 QALYs for no genetic testing, no aspirin. Genotype-guided aspirin yielded an ICER of $66,243 per QALY gained, and was cost-effective in 58% of simulations at the $100,000 willingness-to-pay threshold. Genotype-guided aspirin was associated with 1,461 fewer polyps developed, 510 fewer colorectal cancer cases, and 181 fewer colorectal cancer-related deaths. This strategy prevented 1,078 myocardial infarctions with 1,430 gastrointestinal bleeding events, and 323 intracranial hemorrhage cases compared with no genetic testing, no aspirin. CONCLUSIONS: Genotype-guided aspirin use for colorectal cancer chemoprevention may offer a cost-effective approach for the future management of average-risk individuals. IMPACT: A genotype-guided aspirin strategy may prevent colorectal cancer, colorectal cancer-related deaths, and myocardial infarctions, while minimizing bleeding adverse events. This model establishes a framework for genetically-guided aspirin use for targeted chemoprevention of colorectal cancer with application toward commercial testing in this population.

Supportive care medications coinciding with chemotherapy among children with hematologic malignancy.

Pharmacokinetic (PK) conflicts can arise between supportive care medications (SCM) and chemotherapy in children with hematologic malignancy (HM). In this retrospective study, medical records for children (28 days-18 years) diagnosed with HM and receiving an SCM antimicrobial were collected from a hospital network between 1 May 2000 and 31 December 2014. PK drug-gene associations were obtained from a curated pharmacogenomics database. Among 730 patients (median age of 7.5 (IQR 3.7-13.9) years), primarily diagnosed with lymphoid leukemia (52%), lymphoma (28%), or acute myeloid leukemia (16%), chemotherapy was administered in 2846 hospitalizations. SCM accounted for 90.5% (n = 448) of distinct drugs with 93% (n = 679) of children, receiving ≥5 different SCM/hospitalization. Same-day SCM/chemotherapeutic PK gene overlap occurred in 48.3% of hospitalizations and was associated with age (p = 0.026), number of SCM, HM subtype, surgery, and hematopoietic stem cell transplant (p < 0.0001). A high and variable SCM burden among children with HM receiving chemotherapy poses a risk for unanticipated PK conflicts.

Outcomes Associated with Pharmacist-Led Diabetes Collaborative Drug Therapy Management in a Medicaid Population.

OBJECTIVES: Pharmacist-led diabetes collaborative drug therapy management (CDTM) has been shown to improve outcomes. Whether such programs are effective specifically in Medicaid patients, who face barriers to access and self-management, has not been well characterized. This pilot study explores glycemic control, utilization and costs associated with pharmacist-led CDTM in a small population of Medicaid patients with type 2 diabetes mellitus (T2DM). METHODS: A pre-post, historical cohort study was conducted of patients with T2DM and Medicaid coverage who received pharmacist-led CDTM in community-based primary clinics between 2008-2012. Outcomes included change in HbA1c, healthcare costs and utilization. RESULTS: This study included 79 Medicaid patients with T2DM who received pharmacist-led CDTM. A subset of 46 patients with Medicaid coverage through an affiliated Medicaid Plan, Healthy U, was identified for additional analysis. At 6-months follow-up, HbA1c was a mean (SD) of 2.0% (2.0) lower than the baseline of 10.3% (1.7). Primary care clinic encounters increased by a mean (median) of 3.4 (2) visits. Per patient health system charges increased by a mean (median) of $4,392 ($620) and the amount paid by Medicaid in the Healthy U subset was $822 ($68) higher in the follow-up period. CONCLUSION: A pharmacist-led diabetes CDTM intervention was associated with improved glycemic control in Medicaid patients, which corresponded with a higher number of primary care visits and observed costs. These findings are consistent with studies not limited to Medicaid, suggesting that CDTM can be effective in type 2 diabetes patients with Medicaid coverage.

Using Electronic Medical Records to Assess the Effectiveness of Pharmacotherapy in Pain: A Review of Recent Observational Studies.

Pain disorders affect a large number of individuals throughout the world and are costly. Although randomized clinical trials assess the efficacy (i.e., how well treatments work in controlled settings) of pain pharmacotherapy, clinical trials do not assess effectiveness (i.e., how well treatments work in real-world settings). The number of observational studies that use real-world data to assess the effectiveness of medications is increasing rapidly in many disease areas. It is important for clinicians to understand how real-world data may be used to assess the effectiveness of medications. This paper aims to review the current body of literature assessing the effectiveness of pain pharmacotherapy using medical records. To do this, a literature search was conducted to identify papers published between January 2013 and September 2015 that examined the effectiveness of pain pharmacotherapy using electronic medical records. The search found only three papers meeting these criteria, which were described, reviewed, and critiqued in this paper. Electronic medical records are an underutilized source of data to assess pain outcomes in real-world settings. Although there are many methodological challenges in using these data, there is also great opportunity to impact clinical practice and explore the real-world effectiveness of pharmacotherapy used in pain management.

Cost-effectiveness analysis of fecal microbiota transplantation for recurrent Clostridium difficile infection.

OBJECTIVE: Clostridium difficile infection (CDI) places a high burden on the US healthcare system. Recurrent CDI (RCDI) occurs frequently. Recently proposed guidelines from the American College of Gastroenterology (ACG) and the American Gastroenterology Association (AGA) include fecal microbiota transplantation (FMT) as a therapeutic option for RCDI. The purpose of this study was to estimate the cost-effectiveness of FMT compared with vancomycin for the treatment of RCDI in adults, specifically following guidelines proposed by the ACG and AGA. DESIGN: We constructed a decision-analytic computer simulation using inputs from the published literature to compare the standard approach using tapered vancomycin to FMT for RCDI from the third-party payer perspective. Our effectiveness measure was quality-adjusted life years (QALYs). Because simulated patients were followed for 90 days, discounting was not necessary. One-way and probabilistic sensitivity analyses were performed. RESULTS: Base-case analysis showed that FMT was less costly ($1,669 vs $3,788) and more effective (0.242 QALYs vs 0.235 QALYs) than vancomycin for RCDI. One-way sensitivity analyses showed that FMT was the dominant strategy (both less expensive and more effective) if cure rates for FMT and vancomycin were ≥70% and <91%, respectively, and if the cost of FMT was <$3,206. Probabilistic sensitivity analysis, varying all parameters simultaneously, showed that FMT was the dominant strategy over 10, 000 second-order Monte Carlo simulations. CONCLUSIONS: Our results suggest that FMT may be a cost-saving intervention in managing RCDI. Implementation of FMT for RCDI may help decrease the economic burden to the healthcare system.

Real-world evidence in pain research: a review of data sources.

Outcomes research studies use clinical and administrative data generated in the course of patient care or from patient surveys to examine the effectiveness of treatments. Health care providers need to understand the limitations and strengths of the real-world data sources used in outcomes studies to meaningfully use the results. This paper describes five types of databases commonly used in the United States for outcomes research studies, discusses their strengths and limitations, and provides examples of each within the context of pain treatment. The databases specifically discussed are generated from (1) electronic medical records, which are created from patient-provider interactions; (2) administrative claims, which are generated from providers' and patients' transactions with payers; (3) integrated health systems, which are generated by systems that provide both clinical care and insurance benefits and typically represent a combination of electronic medical record and claims data; (4) national surveys, which provide patient-reported responses about their health and behaviors; and (5) patient registries, which are developed to track patients with a given disease or exposure over time for specified purposes, such as population management, safety monitoring, or research.