A real-world US study of recurrence risks using combined clinicopathological features in HR-positive, HER2-negative early breast cancer.

Aim: To assess invasive disease-free survival (IDFS) and distant relapse-free survival (DRFS) in hormone receptor-positive, HER2-negative early breast cancer with combined clinicopathological criteria from monarchE, a phase III study of abemaciclib. Methods: US electronic health records were used to compare outcomes between high-risk (≥4 lymph nodes, or 1-3 lymph nodes and grade 3, tumor ≥5 cm or Ki-67 ≥20%) versus nonhigh-risk groups using Kaplan-Meier methods and Cox regression models. Results: The high-risk group (n = 557) was at higher risk for IDFS and DRFS events than the nonhigh-risk group (n = 3471). IDFS events (hazard ratio: 3.07; 95% CI: 2.45-3.83) and DRFS events (hazard ratio: 3.15; 95% CI: 2.49-3.97) were significantly higher for the high-risk group. Conclusion: Risk of recurrence was three-times greater in the high-risk group, highlighting the need for better therapies.

Breast cancer is frequently diagnosed early, at a stage when patients can be cured. However, some patients have breast cancers (tumors) with a high risk of recurrence. When cancers come back, a cure is often not possible. This study looks at multiple high-risk tumor features and the risk of cancer returning, in the most common breast cancer type, known as hormone receptor-positive, HER2-negative breast cancer. In patients with high-risk tumors, breast cancer returned in about 11.9% of patients within 2 years and in 29.8% of patients at 5 years. The risk of recurrence or death was three-times higher in patients with high-risk tumors compared to patients with nonhigh-risk tumors. These results suggest better treatments are needed to prevent breast cancers from coming back in patients at high risk of recurrence.

Development of a Prognostic Factor Index Among Women With HR+/HER2- Metastatic Breast Cancer in a Community Oncology Setting.

BACKGROUND: This study explored the impact of multiple prognostic factors on patient overall survival (OS) and real-world progression-free survival (rwPFS) for patients with hormone receptor-positive (HR+)/human epidermal growth factor 2 negative (HER2-) metastatic breast cancer (MBC). MATERIALS AND METHODS: This retrospective study used electronic health record data of patients in the United States from community oncology practices from January 1, 2008 to April 30, 2017. Eligibility included HR+/HER2- MBC diagnosis in 2008 or later and prior systemic therapy for MBC. An index variable was created to assess the effect of multiple clinical prognostic factors collectively, including liver metastases (LM), primary endocrine resistance (PER), negative progesterone receptor (PR-) status, and high tumor grade (TG). Patients were grouped based on the number of prognostic factors present at MBC diagnosis: 0, 1, and 2+. Differences in rwPFS and OS from start of first-line therapy were evaluated by the Kaplan-Meier method and multivariable Cox proportional hazards regression. RESULTS: Approximately 29.1% of the 378 eligible patient sample had 0, 36.0% had 1, and 34.9% had 2+ prognostic factors. For the patients with 1 of the prognostic factors, 24.3% had high TG, 14.7% were LM+, 39.7% had PER, and 21.3% were PR-. Univariate and multivariate results showed that rwPFS and OS were significantly (P < .05) shorter in patients with 1 and 2+ prognostic factors compared with patients with 0. CONCLUSIONS: The individual prognostic factors and the prognostic factor index may enable early identification of patients with a less favorable prognosis across the HR+/HER2- MBC population and help inform treatment decisions in difficult-to-treat populations.

Health Care Effect of Disease-Modifying Antirheumatic Drug Use on Patients with Rheumatoid Arthritis.

BACKGROUND: Disease-modifying antirheumatic drugs (DMARDs) are recommended as the standard of care for patients with rheumatoid arthritis (RA) due to their ability to reduce pain and disability; however, DMARD use is low in some subgroups of the RA population. OBJECTIVE: To identify characteristics associated with DMARD use in the overall cohort of patients with RA and newly diagnosed RA patients. METHODS: This retrospective observational study used claims from a large national health plan. Use of DMARDs was measured according to the Healthcare Effectiveness Data and Information Set (HEDIS) as the proportion of patients with RA receiving DMARDs. Following HEDIS measure technical specifications, we identified patients aged 18-89 years with continuous enrollment during 2014 (measurement year) with ≥ 2 claims for RA outpatient visits and/or discharges on different dates between January and November 2014. Additionally, we identified a subset of patients newly diagnosed with RA in 2014 based on absence of any claims for RA or DMARDs in 2013. Descriptive analyses and bivariate associations were used to compare demographic and clinical characteristics of patients with RA with or without DMARD use in 2014. Health care resource utilization (HCRU) and costs were compared in 2014 for patients enrolled in Medicare Advantage Prescription Drug (MAPD) plans during both 2014 and 2015. Regression models were used to evaluate patient and provider characteristics associated with DMARD use in 2014 and the effect on HCRU and costs. RESULTS: Among the 33,880 patients identified with RA in 2014, most patients received a DMARD (75.2%); 29.4% of patients newly diagnosed with RA had been treated with DMARDs in 2014. Patients with DMARD use, on average, were younger (aged 67 years ± 10.7 vs. 69 years ± 10.7) and healthier (Deyo-Charlson Comorbidity Index [DCCI] 2.4 ± 1.9 vs. 2.6 ± 2.1) and included a greater proportion of women (75.9% vs. 71.0%) than those with no DMARD use (P < 0.0001). Use of DMARDs (P < 0.0001) was associated with 14.5% fewer hospitalizations and 18.0% fewer emergency department visits. Although total costs increased by 15.0% with use of DMARDs, when the cost of DMARDs was excluded, the total cost decreased by 13.7% (P < 0.0001). Female gender (32.2%), higher claims-based index for RA severity score (47.0%), higher RxRisk-V score (26.7%), visit to a rheumatologist (34.3%), and use of glucocorticoids (17.7%) increased the odds of DMARD use (P < 0.0001). Use of certain classes of medication, such as nonsteroidal anti-inflammatory drugs (12.3%), opioids (19.5%), antidepressants (20.0%), muscle relaxants (12.5%), and anticonvulsants (15.5%), were associated with lower use of DMARDs (P < 0.0001). CONCLUSIONS: We found significant differences in demographic and clinical characteristics between patients with and without DMARD use, which can potentially inform treatment decisions regarding DMARD use as deemed necessary by the provider. Future research should investigate the reasons for lack of treatment. DISCLOSURES: This study was supported by funding from Eli Lilly to Humana as a collaborative research project involving employees of both companies. Boytsov, Saverno, Zhang, and Gaich are employees of Eli Lilly. Nair, Bhattacharya, Abbott, and Dixon are employees of Humana, which received funding from Eli Lilly to complete this research.

Patient Preferences Regarding Rheumatoid Arthritis Therapies: A Conjoint Analysis.

BACKGROUND: Tofacitinib, an oral Janus kinase inhibitor approved for the treatment of rheumatoid arthritis (RA), provides patients with an alternative to subcutaneously or intravenously administered biologic disease-modifying antirheumatic drugs (DMARDs). Little is known about patient preference for novel RA treatments. OBJECTIVE: To investigate patient preferences for attributes associated with RA treatments. METHODS: A choice-based conjoint survey was mailed to 1400 randomly selected commercially insured patients (aged 21-80 years) diagnosed with RA, who were continuously enrolled from May 1, 2012, through April 30, 2013, and had ≥2 medical claims for International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis code 714.0 and no previous biologic DMARD use. Treatment attributes included route of administration; monthly out-of-pocket cost; frequency of administration; ability to reduce daily joint pain and swelling; likelihood of serious adverse events; improvement in the ability to perform daily tasks; and medication burden. Mean attribute importance scores were calculated after adjusting for patient demographics (eg, age, sex, years since diagnosis) using a hierarchical Bayes model. Patient preferences for each treatment attribute were ranked by the importance score. Part-worth utilities (ie, preference scores) were used to perform a conjoint market simulation. RESULTS: A total of 380 patients (response rate, 27.1%) returned the survey. Their mean age (± standard deviation) was 54.9 (± 9.3) years. Nonrespondents were 2 years younger (mean, 52.9 years; P = .002) but did not differ significantly from respondents in known clinical characteristics. After adjustment for demographic characteristics, mean patients' ranking of treatment attribute importance, in decreasing order, was route of administration, 34.1 (± 15.5); frequency of administration, 16.4 (± 6.8); serious adverse events, 12.0 (± 9.3); cost, 10.1 (± 6.2); medication burden, 9.8 (± 8.2); joint pain reduction, 8.9 (± 3.8); and daily tasks improvement, 8.8 (± 4.7). For the route of administration attribute, the part-worth utility was highest for the oral route. Conjoint simulation results showed that 56.4% of respondents would prefer an oral route of administration. CONCLUSION: Based on this survey completed by 380 patients with RA, commercially insured patients with RA consider the route of administration to be the most important attribute of their RA treatment. In this study, the majority (56.4%) of patients preferred the oral route of administration over other routes. Understanding patient preferences may help to inform provider and payer decisions in treatment selection that may enhance patient adherence to therapy.

Impact of Out-of-Pocket Costs on Prescription Fills Among New Initiators of Biologic Therapies for Rheumatoid Arthritis.

BACKGROUND: Biologic disease-modifying antirheumatic drug (DMARD) therapies are a mainstay of treatment for rheumatoid arthritis (RA), yet high member out-of-pocket (OOP) costs for such therapies may limit patient access to these therapies. OBJECTIVE: To understand whether there is a relationship between OOP costs and the initial fill and subsequent refills of biologic DMARD treatments for RA members. METHODS: Members of a national Medicare Advantage and Prescription Drug (MAPD) plan with an adjudicated (paid or reversed) claim for a biologic DMARD indicated for RA were identified from July 1, 2007, to December 31, 2012, and followed retrospectively. The first adjudicated claim date was the index date. Members were required to have 180 days of continuous enrollment pre- and post-index and ≥ 1 diagnosis for RA (ICD-9-CM: 714.0 or 714.2) during pre-index or ≤ 30 days post-index. Low-income subsidy and Medicaid-Medicare dual-eligible patients were excluded. The analysis used multivariate regression models to examine associations between initial prescription (Rx) abandonment rates and OOP costs and factors influencing the refill of a biologic DMARD therapy based on pharmacy claims. RESULTS: The final sample size included 864 MAPD members with an adjudicated claim for a biologic DMARD. The majority were female (77.4%) and mean age was 63.5 years (SD = 10.9). Most (78%) had conventional nonbiologic DMARD utilization during pre-index. The overall initial abandonment rate was 18.2% for biologic DMARDs, ranging from 1.3% for the lowest OOP cost group ($0-$250) to 32.7% for the highest OOP cost group (> $550; P < 0.0001 for Cochran-Armitage trend test). ORs for abandonment rose from 18.4 to 32.7 to 41.2 for OOP costs of $250.01-$400.00, $400.01-$550.00, and > $550.00 respectively, relative to OOP costs of ≤ $250.00 (all P < 0.0001). Meeting the catastrophic coverage limit and utilization of a specialty pharmacy for the index claim were both associated with a decreased likelihood of abandoning therapy (OR = 0.29 and OR = 0.14, respectively; both P < 0.05). Among the subset of 533 members with a paid claim, 82.4% had at least 1 refill post-index. The negative association between OOP cost and likelihood of refilling an Rx was highly significant (P < 0.0001). CONCLUSIONS: This study suggests that the higher the member OOP cost, the less likely an MAPD member is to initiate or refill a biologic DMARD therapy for RA. Further research is needed to understand reasons for initial Rx abandonment and lack of refills, including benefit design and adverse events.

Patterns of Care in Patients with Metastatic Renal Cell Carcinoma Among a U.S. Payer Population with Commercial or Medicare Advantage Membership.

BACKGROUND: Several systemic therapies are now approved for first- and second-line treatment of metastatic renal cell carcinoma (mRCC). Although the National Comprehensive Cancer Network (NCCN) guidelines offer physicians evidence-based recommendations for therapy, there are few real-world studies to help inform the utilization of these agents in clinical practice. OBJECTIVES: To (a) describe the patterns of use associated with systemic therapies for mRCC among Humana members in the United States diagnosed with mRCC, (b) assess consistency with the NCCN guidelines for treatment, and (c) to describe the initial first-line therapy regimen by prescriber specialty and site of care. METHODS: This was a retrospective study using Humana's claims database of commercially insured patients and patients insured by the Medicare Advantage Prescription Drug plan. The study period was from January 1, 2007, to December 31, 2013. Patients with mRCC were identified by ICD-9-CM codes 189.0/189.1 and 196.xx to 199.xx; all patients were between 18 and 89 years of age, had received systemic therapy for their disease, and were followed up for 180 days. Outcome measures included choice of initial systemic therapy, starting and ending doses, first-line treatment persistence and compliance, and choice of second-line therapy. Persistence was measured using time to discontinuation of first-line therapy and proportion of days covered (PDC; the ratio of [total days of drug available minus days of supply of last prescription] to [last prescription date minus first prescription date]). Compliance was measured using the medication possession ratio (MPR; the ratio of [total days supply minus days supply of last prescription] to [last prescription date minus first prescription date]). RESULTS: A total of 649 patients met all inclusion criteria; 109 were insured by commercial plans and 540 were insured by Medicare. The mean ± SD age of patients was 68.6 ± 9.4 years, and 68.6% were male; Medicare patients were older than commercial patients (71.7 ± 7.4 vs. 56.6 ± 9.1 years, respectively; P < 0.001). The most common comorbidities among the patient population were hypertension, hyperlipidemia, diabetes, and heart disease. The majority of patients (68.6%) received an oral tyrosine kinase inhibitor (TKI) as their first line of therapy: 43.9% received sunitinib, 14.0% received sorafenib, 10.0% received pazopanib, and 0.6% received axitinib. Mean ± SD time to discontinuation of first-line TKI treatment was 169.1 ± 29.5 days with sunitinib, 160.3 ± 41.1 days with pazopanib, and 160.1 ± 41.4 days with sorafenib. Other first-line therapies included inhibitors of mammalian target of rapamycin (mTOR) (19.7%) and the antivascular endothelial growth factor agent bevacizumab (9.4%). Among patients receiving mTOR inhibitors, 14.8% were started on temsirolimus and 4.9% were started on everolimus. The median starting and ending doses were the same for each drug except for sunitinib. Mean ± SD times to discontinuation of temsirolimus, everolimus, and bevacizumab were 171.8 ± 26.2, 137.0 ± 62.2, and 150.8 ± 56.0 days, respectively. Persistence on first-line regimen as measured by PDC was high (PDC ≥ 80%) for 89% of oral therapies and 77% of injectable therapies; first-line compliance was high (MPR ≥ 80%) for 77% of oral therapies and 68% of injectables. Among patients who received second-line therapy, the most common regimen was everolimus (29.2%), followed by bevacizumab (19.8%), temsirolimus (15.6%), and sunitinib (13.6%). Specialty codes obtained from the database provider identified internal medicine specialists and oncologists as the most common prescribers of TKIs and mTOR inhibitors. CONCLUSIONS: Patterns of use were similar for each of the prescribed systemic treatments for mRCC, and the majority of patients were highly persistent and compliant with first-line therapies. Time to treatment discontinuation was slightly longer with oral agents compared with injectable drugs.

Molecular testing patterns in metastatic non-small cell lung cancer.

OBJECTIVES: Identification of oncogene mutations and gene rearrangements in individuals with non-small cell lung cancer (NSCLC) can help identify candidates for targeted therapy. This study examined whether clinicians are ordering molecular testing for patients with metastatic NSCLC (mNSCLC) prior to therapy initiation. STUDY DESIGN: Members from a national health plan with lung cancer and metastatic disease were followed retrospectively. METHODS: Members were identified in medical claims data from January 1, 2010, to December 31, 2012, if they had 2 or more claims for lung cancer (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] code 162.xx) and metastatic disease (≥ 1 claim with ICD-9-CM code 196.xx-198.xx) who were continuously enrolled in a fully insured plan 180 days prior to index date. Patients were excluded if they had a history of chemotherapy used primarily in small cell lung cancer, or a medical claim associated with an unrelated malignancy. The timing of molecular testing was compared with the start of chemotherapy and targeted therapy, if applicable. RESULTS: A total of 2623 patients presumed to have mNSCLC were included for analysis; of whom, 52.5% were male with a mean age of 72.5 years (SD = 8.2 years). A total of 1597 (60.9%) patients had a Current Procedural Terminology code associated with molecular testing at any time in their claims history. Of the 733 patients with molecular testing and chemotherapy or targeted therapy claims, testing occurred prior to systemic therapy initiation in 651 (88.8%; 95% CI, 86.1%-90.9%) patients. The median time between testing and therapy initiation was 38 days (interquartile range = 23-69 days). CONCLUSIONS: Assessment of oncogene mutations and gene rearrangements in mNSCLC routinely occurs prior to treatment initiation as suggested by analyses of claims data from a large US health plan. Validation using patient medical records is needed.

Development and Validation of a Predictive Model to Identify Individuals Likely to Have Undiagnosed Chronic Obstructive Pulmonary Disease Using an Administrative Claims Database.

BACKGROUND: Despite the importance of early detection, delayed diagnosis of chronic obstructive pulmonary disease (COPD) is relatively common. Approximately 12 million people in the United States have undiagnosed COPD. Diagnosis of COPD is essential for the timely implementation of interventions, such as smoking cessation programs, drug therapies, and pulmonary rehabilitation, which are aimed at improving outcomes and slowing disease progression. OBJECTIVE: To develop and validate a predictive model to identify patients likely to have undiagnosed COPD using administrative claims data. METHODS: A predictive model was developed and validated utilizing a retro-spective cohort of patients with and without a COPD diagnosis (cases and controls), aged 40-89, with a minimum of 24 months of continuous health plan enrollment (Medicare Advantage Prescription Drug [MAPD] and commercial plans), and identified between January 1, 2009, and December 31, 2012, using Humana's claims database. Stratified random sampling based on plan type (commercial or MAPD) and index year was performed to ensure that cases and controls had a similar distribution of these variables. Cases and controls were compared to identify demographic, clinical, and health care resource utilization (HCRU) characteristics associated with a COPD diagnosis. Stepwise logistic regression (SLR), neural networking, and decision trees were used to develop a series of models. The models were trained, validated, and tested on randomly partitioned subsets of the sample (Training, Validation, and Test data subsets). Measures used to evaluate and compare the models included area under the curve (AUC); index of the receiver operating characteristics (ROC) curve; sensitivity, specificity, positive predictive value (PPV); and negative predictive value (NPV). The optimal model was selected based on AUC index on the Test data subset. RESULTS: A total of 50,880 cases and 50,880 controls were included, with MAPD patients comprising 92% of the study population. Compared with controls, cases had a statistically significantly higher comorbidity burden and HCRU (including hospitalizations, emergency room visits, and medical procedures). The optimal predictive model was generated using SLR, which included 34 variables that were statistically significantly associated with a COPD diagnosis. After adjusting for covariates, anticholinergic bronchodilators (OR = 3.336) and tobacco cessation counseling (OR = 2.871) were found to have a large influence on the model. The final predictive model had an AUC of 0.754, sensitivity of 60%, specificity of 78%, PPV of 73%, and an NPV of 66%. CONCLUSIONS: This claims-based predictive model provides an acceptable level of accuracy in identifying patients likely to have undiagnosed COPD in a large national health plan. Identification of patients with undiagnosed COPD may enable timely management and lead to improved health outcomes and reduced COPD-related health care expenditures.

COPD exacerbation frequency and its association with health care resource utilization and costs.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) exacerbations account for a substantial proportion of COPD-related costs. OBJECTIVE: To describe COPD exacerbation patterns and assess the association between exacerbation frequency and health care resource utilization (HCRU) and costs in patients with COPD in a Medicare population. METHODS: A retrospective cohort study utilizing data from a large US national health plan was conducted including patients with a COPD diagnosis during January 1, 2007 to December 31, 2012, aged 40-89 years and continuously enrolled in a Medicare Advantage Prescription Drug plan. Exacerbation frequency, HCRU, and costs were assessed during a 24-month period following the first COPD diagnosis (follow-up period). Four cohorts were created based on exacerbation frequency (zero, one, two, and ≥three). HCRU and costs were compared among the four cohorts using chi-square tests and analysis of variance, respectively. A trend analysis was performed to assess the association between exacerbation frequency and costs using generalized linear models. RESULTS: Of the included 52,459 patients, 44.3% had at least one exacerbation; 26.3%, 9.5%, and 8.5% had one, two, and ≥three exacerbations in the 24-month follow-up period, respectively. HCRU was significantly different among cohorts (all P<0.001). In patients with zero, one, two, and ≥three exacerbations, the percentages of patients experiencing all-cause hospitalizations were 49.7%, 66.4%, 69.7%, and 77.8%, respectively, and those experiencing COPD-related hospitalizations were 0%, 40.4%, 48.1%, and 60.5%, respectively. Mean all-cause total costs (medical and pharmacy) were more than twofold greater in patients with ≥three exacerbations compared to patients with zero exacerbations ($27,133 vs $56,033; P<0.001), whereas a greater than sevenfold difference was observed in mean COPD-related total costs ($1,605 vs $12,257; P<0.001). CONCLUSION: COPD patients frequently experience exacerbations. Increasing exacerbation frequency is associated with a multiplicative increase in all-cause and COPD-related costs. This underscores the importance of identifying COPD patients at risk of having frequent exacerbations for appropriate disease management.

Systematic overview of cost-effectiveness thresholds in ten countries across four continents.

AIM: To provide an overview of thresholds for incremental cost-effectiveness ratios (ICERs) representing willingness-to-pay (WTP) across multiple countries and insights into exemptions pertaining to the ICER (e.g., cancer). To compare ICER thresholds to individual country's estimated ability-to-pay. MATERIALS & METHODS: We included AHRQ/USA, BIQG-GOEG/Austria, CADTH/Canada, DAHTA@DIMDI/Germany, DECIT-CGATS/Brazil, HAS/France, HITAP/Thailand, IQWiG/Germany, LBI-HTA/Austria, MSAC/Australia, NICE/England/Wales and SBU/Sweden. ICER thresholds were derived from systematic literature/website search/expert surveys. WTP was compared with ATP using Spearman's rank correlation. RESULTS: Two general and explicitly acknowledged thresholds (England/Wales, Thailand), implicit thresholds in six countries and different ICER thresholds/decision-making rules in oncology were identified. Correlation between WTP and ability-to-pay was moderate. DISCUSSION: Our overview supports country-specific discussions on WTP and on how to define value(s) within societies.

Assessment of HER2 testing patterns, HER2+ disease, and the utilization of HER2-directed therapy in early breast cancer.

CONTEXT: Determining human epidermal growth factor receptor 2 (HER2) status is critical for the management of early-stage breast cancer (ESBC). An understanding of HER2 testing practices can provide insight into how test results influence the use of HER2-directed therapy. OBJECTIVE: To assess HER2 testing, HER2+ disease, and HER2-directed therapy in ESBC at the Huntsman Cancer Institute before and after the 2007 American Society of Clinical Oncology and College of American Pathologist (ASCO/CAP) guidelines on HER2 testing were published. METHODS: Patients were identified from an institutional tumor registry. HER2 testing patterns and results were examined using a chart review of pathology and clinical notes. Patient characteristics, HER2+ rate, and trastuzumab use were evaluated descriptively. Discordance rate with reflex testing (immunohistochemistry [IHC]2+ retested by fluorescence in situ hybridization [FISH]) was also evaluated. RESULTS: A total of 1,459 women were included (mean age: 57 years). The rate of HER2+ disease was 17% (number [N] =245). The discordance rate between IHC2+ and FISH was 10%. After the 2007 ASCO/CAP guidelines, fewer tumors were classified as IHC3+ (16% post- versus 21.9% pre-2007), more tumors were characterized as IHC2+ (26.4% post- versus 20.7% pre-2007), and the overall HER2+ rate was decreased (18.7% versus 21.9%), but this was not statistically significant (P=0.519). Most patients with HER2+ ESBC received HER2-targeted therapy (N=185). CONCLUSION: The HER2+ rate was 17% and within the range of the reported rates in the literature. Reflex testing identified additional HER2+ tumors by approximately 10%, and should be considered a potential quality indicator. ASCO/CAP HER2 testing guidelines in 2007 appeared to impact the interpretation and classification of HER2+ tumors.

Medical decision analysis for first-line therapy of chronic myeloid leukemia.

Several tyrosine kinase inhibitors (TKIs) are approved for the treatment of chronic myeloid leukemia (CML). Our goal was to develop a clinical decision-analytic model for evaluation of the long-term effectiveness of different therapy regimens. We developed a Markov cohort model with a lifelong time horizon for first-line treatment with imatinib, dasatinib or nilotinib. Seven strategies including combinations of TKIs, chemotherapy and stem cell transplant were evaluated. The model was parameterized using published trial data, the Austrian CML registry and practice patterns estimated by experts. Health outcomes evaluated were life-years (LYs) and quality-adjusted LYs (QALYs). Based on our decision analysis, dasatinib following nilotinib failure was the most effective treatment in terms of LYs (19.8 LYs) and QALYs (16.1 QALYs). Sensitivity analyses showed that the ranking of strategies was mostly influenced by the duration of first- and second-line therapies. Our results may support decision-making regarding the sequential application of TKIs.

Pharmacists' awareness of clinical decision support in pharmacy information systems: an exploratory evaluation.

BACKGROUND: Clinical decision support (CDS), such as drug-drug interaction (DDI) and drug-allergy checking, has been used in pharmacy information systems for several decades; however, there has been limited research on CDS use by practicing pharmacists. OBJECTIVE: The purpose of this study was to document pharmacists' awareness of DDI and other medication-related CDS features available within pharmacy information systems. METHODS: Researchers conducted on-site interviews with pharmacists throughout the state of Arizona from December 2008 to November 2009 regarding their pharmacy information systems features. Pharmacists were asked to provide information about DDI and other medication-related decision support features of the pharmacy software at their practice site. Descriptive statistics were used to summarize interview responses. RESULTS: Sixty-one pharmacists from a variety of practice settings completed the interview. All respondents indicated that their pharmacy system provided drug-allergy and DDI alerts. Approximately 60% of the pharmacists reported that their DDI decision support systems included recommendations for managing drug interactions. Two-thirds of respondents reported that their pharmacy's computer system permitted the addition of medications from other pharmacies and/or over-the-counter products to a patient's profile. Approximately 40% of the pharmacists reported that some drugs entered into the pharmacy computer system were not included in (or linked to) the electronic DDI checking. Most pharmacists indicated the presence of other medication-related decision support features, such as drug-disease (78%), drug-age precautions (67%), and inappropriate dosage alerts (79%). However, fewer pharmacists reported more advanced functionality, such as laboratory recommendations (34%) and pediatric dosing (39%). CONCLUSION: Overall, pharmacists' awareness regarding the many decision support functionalities of their systems was limited. Based on the study findings, it appears that there are a number of limitations associated with currently available pharmacy decision support software. Further research is needed to formally evaluate pharmacist knowledge of pharmacy decision support software functionality. More formal training about software capabilities coupled with the addition of more advanced decision support features has the potential to improve pharmacists' use of these systems to make better clinical decisions and avoid preventable errors.

Assessment tool for pharmacy drug-drug interaction software.

OBJECTIVES: To assess the performance of pharmacy clinical decision support (CDS) systems for drug-drug interaction (DDI) detection and to identify approaches for improving the ability to recognize important DDIs. PRACTICE DESCRIPTION: Pharmacists rely on CDS systems to assist in the identification of DDIs, and research suggests that these systems perform suboptimally. The software evaluation tool described here may be used in all pharmacy settings that use electronic decision support to detect potential DDIs, including large and small community chain pharmacies, community independent pharmacies, hospital pharmacies, and governmental facility pharmacies. PRACTICE INNOVATION: A tool is provided to determine the ability of pharmacy CDS systems to identify established DDIs. It can be adapted to evaluate potential DDIs that reflect local practice patterns and patient safety priorities. Beyond assessing software performance, going through the evaluation processes creates the opportunity to evaluate inadequacies in policies, procedures, workflow, and training of all pharmacy staff relating to pharmacy information systems and DDIs. CONCLUSION: The DDI evaluation tool can be used to assess pharmacy information systems' ability to recognize relevant DDIs. Suggestions for improvement include determining whether the software allows for customization, creating standard policies for handling specific interactions, and ensuring that drug knowledge database updates occur frequently.

Ability of pharmacy clinical decision-support software to alert users about clinically important drug-drug interactions.

OBJECTIVE: Pharmacy clinical decision-support (CDS) software that contains drug-drug interaction (DDI) information may augment pharmacists' ability to detect clinically significant interactions. However, studies indicate these systems may miss some important interactions. The purpose of this study was to assess the performance of pharmacy CDS programs to detect clinically important DDIs. DESIGN: Researchers made on-site visits to 64 participating Arizona pharmacies between December 2008 and November 2009 to analyze the ability of pharmacy information systems and associated CDS to detect DDIs. Software evaluation was conducted to determine whether DDI alerts arose from prescription orders entered into the pharmacy computer systems for a standardized fictitious patient. The fictitious patient's orders consisted of 18 different medications including 19 drug pairs-13 of which were clinically significant DDIs, and six were non-interacting drug pairs. MEASUREMENTS: The sensitivity, specificity, positive predictive value, negative predictive value, and percentage of correct responses were measured for each of the pharmacy CDS systems. RESULTS: Only 18 (28%) of the 64 pharmacies correctly identified eligible interactions and non-interactions. The median percentage of correct DDI responses was 89% (range 47-100%) for participating pharmacies. The median sensitivity to detect well-established interactions was 0.85 (range 0.23-1.0); median specificity was 1.0 (range 0.83-1.0); median positive predictive value was 1.0 (range 0.88-1.0); and median negative predictive value was 0.75 (range 0.38-1.0). CONCLUSIONS: These study results indicate that many pharmacy clinical decision-support systems perform less than optimally with respect to identifying well-known, clinically relevant interactions. Comprehensive system improvements regarding the manner in which pharmacy information systems identify potential DDIs are warranted.

Pharmacy students' ability to identify potential drug-drug interactions.

OBJECTIVE: To evaluate the ability of third- and fourth-year pharmacy students to identify clinically significant drug-drug interactions (DDIs) METHODS: A questionnaire designed to measure DDI knowledge was disseminated to fourth-year pharmacy students in a school of pharmacy. A second questionnaire was distributed to third-year pharmacy students in 2 schools of pharmacy (schools A and B) and re-administered to students in 1 of the schools 1 year later. RESULTS: Class of 2005 fourth-year pharmacy students correctly categorized an average of 52% +/- 13% DDI pairs on the first questionnaire. Third-year pharmacy students at schools A and B correctly categorized an average of 61% +/- 18% and 66% +/- 15% of DDI pairs, respectively. The average percentage of correct responses for fourth-year students from the class of 2007 was 65% (+/- 17%). CONCLUSION: Pharmacy students' ability to identify important DDIs is far from optimal, even after completing experiential requirements.

Economic Evaluation of Quality-of-Life Improvement with Second-Generation Antihistamines and Montelukast in Patients with Allergic Rhinitis.

BACKGROUND: Allergic rhinitis causes significant economic losses and substantial reductions in quality of life. Improving a patient's symptoms can therefore enhance the patient's quality of life. OBJECTIVE: To measure the relative cost-effectiveness of prescription second-generation antihistamines (levocetirizine, desloratadine, and fexofenadine) and montelukast based on their impact on quality of life in patients with uncomplicated allergic rhinitis. METHODS: A retrospective, cost-effectiveness model was constructed using 1-year costs to managed care payers and using the Rhinoconjunctivitis Quality of Life Questionnaire to measure the quality of life in patients taking prescription second-generation antihistamines or montelukast for the treatment of allergic rhinitis. Clinical trial results for levocetirizine, desloratadine, fexofenadine (brand and generic), or montelukast were combined as standardized mean differences to create a pooled effectiveness measure. The costs of prescription drugs and physician office visits for allergic rhinitis were used as direct costs measures. Sensitivity was assessed by a Monte Carlo simulation run 1000 times. RESULTS: All the drugs in the study showed significant improvement in quality of life, with levocetirizine showing the greatest improvement. The incremental cost-effectiveness of levocetirizine dominated montelukast (incremental cost-effective ratio, -1317; 95% confidence interval, -7471, -212). The incremental cost-effectiveness favored levocetirizine compared with desloratadine and branded fexofenadine. CONCLUSION: There are significant differences in the cost-effectiveness of various oral prescription agents with regard to improving quality of life of patients with allergic rhinitis.

Cost-effectiveness of second-generation antihistamines and montelukast in relieving allergic rhinitis nasal symptoms.

OBJECTIVE: Allergic rhinitis imposes a significant health and economic burden both on individuals and the healthcare system. Second-generation prescription antihistamines, levocetirizine, fexofenadine, and desloratadine, and the leukotriene receptor antagonist, montelukast, differ in their ability to relieve common rhinitis symptoms. The purpose of this study was to compare the cost-effectiveness of prescription agents based on their effectiveness in relieving nasal symptoms. METHODS: Effectiveness was measured as the composite of nasal symptoms, including congestion, rhinorrhea, and sneezing, from clinical studies that compared each of the 4 comparators to placebo. Direct costs included prescription therapy and rhinitis-related physician office visits. Physician office visit costs were collected from an analysis of the PharMetrics insurance claims database. Sensitivity analyses were conducted using a Monte Carlo simulation to assess the robustness of the average and incremental cost-effectiveness ratios. RESULTS: The cost per clinically significant improvement of nasal symptoms for levocetirizine was less than for the other model comparator agents. The incremental cost-effectiveness ratio for levocetirizine dominated montelukast and desloratadine and was lower than either branded or generic fexofenadine. CONCLUSION: Levocetirizine is a cost-effective therapy for the relief of nasal symptoms of allergic rhinitis.