Estimated burden of cardiovascular disease and value-based price range for evolocumab in a high-risk,secondary-prevention population in the US payer context

Aim: To estimate real-world cardiovascular disease (CVD) burden and value-based price range of evolocumab for a US-context, high-risk, secondary-prevention population.

Materials and methods: Burden of CVD was assessed using the UK-based Clinical Practice Research Datalink (CPRD) in order to capture complete CV burden including CV mortality. Patients on standard of care (SOC; high-intensity statins) in CPRD were selected based on eligibility criteria of FOURIER, a phase 3 CV outcomes trial of evolocumab, and categorized into four cohorts: high-risk prevalent atherosclerotic CVD (ASCVD) cohort (n?=?1448), acute coronary syndrome (ACS) (n?=?602), ischemic stroke (IS) (n?=?151), and heart failure (HF) (n?=?291) incident cohorts. The value-based price range for evolocumab was assessed using a previously published economic model. The model incorporated CPRD CV event rates and considered CV event reduction rate ratios per 1?mmol/L reduction in low-density lipoprotein-cholesterol (LDL-C) from a meta-analysis of statin trials by the Cholesterol Treatment Trialists Collaboration (CTTC), i.e. CTTC relationship.

Results: Multiple-event rates of composite CV events (ACS, IS, or coronary revascularization) per 100 patient-years were 12.3 for the high-risk prevalent ASCVD cohort, and 25.7, 13.3, and 23.3, respectively, for incident ACS, IS, and HF cohorts. Approximately one-half (42%) of the high-risk ASCVD patients with a new CV event during follow-up had a subsequent CV event. Combining these real-world event rates and the CTTC relationship in the economic model, the value-based price range (credible interval) under a willingness-to-pay threshold of $150,000/quality-adjusted life-year gained for evolocumab was $11,990 ($9,341–$14,833) to $16,856 ($12,903–$20,678) in ASCVD patients with baseline LDL-C levels ≥70?mg/dL and ≥100?mg/dL, respectively.

Conclusion: Real-world CVD burden is substantial. Using the observed CVD burden in CPRD and the CTTC relationship, the cost-effectiveness analysis showed that, accounting for uncertainties, the expected value-based price for evolocumab is higher than its current annual cost, as long as the payer discount off list price is greater than 20%.     

Health-related quality-of-life,work productivity,and economic burden among patients with Parkinson’s disease in Japan

Abstract

Aims: This study aimed to characterize the burden of Parkinson’s disease (PD) by examining health-related quality-of-life (HRQoL), impairments to work productivity and daily activities, healthcare resource use, and associated costs among Japanese patients with PD.

Materials and methods: This retrospective cross-sectional study used data from the 2009–2014 Japan National Health and Wellness Survey (NHWS) (n?=?144,692). HRQoL (Short Form 36-Item Health Survey version 2), impairments to work productivity and daily activities (Work Productivity and Activity Impairment Questionnaire), healthcare resource utilization, and annual costs were compared between respondents with PD (n?=?133) and controls without PD (n?=?144,559). The effect of PD on outcomes was estimated using propensity score weighting and multivariable regression models.

Results: HRQoL was lower in patients with PD compared to the control group, with reduced physical (41.3 vs 51.3) and mental (35.7 vs 45.4) component summary scores and health state utility scores (0.62 vs 0.77; p?<?.001 for all). Patients with PD also reported higher levels of absenteeism (19.3% vs 3.3%), presenteeism (45.2% vs 18.5%), overall work impairment (52.8% vs 20.3%), and activity impairment (49.6% vs 20.8%) than controls without PD (p?<?.001 for all). In addition, patients with PD had higher healthcare resource utilization, direct (¥3,856,921/$37,994 vs ¥715,289/$7,046), and indirect (¥2,573,938/$25,356 vs ¥902,534/$8,891) costs compared with controls without PD (p?<?.001 for both).

Limitations: Data were cross-sectional and did not allow for causal inferences. Although the NHWS demographically represents the Japanese adult population, it is unclear whether it adequately represents the adult population with PD in Japan.

Conclusions: PD was associated with poorer HRQoL, greater work productivity loss, and higher direct and indirect costs. The findings suggest that an unmet need exists among patients with PD in Japan. Improving PD treatment and management could benefit both patients and society.     

Comparison of second-generation antipsychotic treatment on psychiatric hospitalization in Medicaid beneficiaries with bipolar disorder

Abstract

Objective:

To compare second-generation antipsychotics on time to and cost of psychiatric hospitalization in Medicaid beneficiaries with bipolar disorder.

Methods:

Retrospective study using healthcare claims from 10 US state Medicaid programs. Included beneficiaries were aged 18–64, initiated a single second-generation antipsychotic (aripiprazole, olanzapine, quetiapine, risperidone, or ziprasidone) between 1/1/2003–6/30/2008 (initiation date?=?index), and had a medical claim with an ICD-9-CM diagnosis code for bipolar disorder. A 360-day post-index period was used to measure time to and costs of psychiatric hospitalization (inpatient claims with a diagnosis code for a mental disorder [ICD-9-CM 290.xx–319.xx] in any position). Cox proportional hazards models and Generalized Linear Models compared time to and costs of psychiatric hospitalization, respectively, in beneficiaries initiating aripiprazole vs each other second-generation antipsychotic, adjusting for beneficiaries’ baseline characteristics.

Results:

Included beneficiary characteristics: mean age 36 years, 77% female, 80% Caucasian, aripiprazole (n?=?2553), mean time to psychiatric hospitalization or censoring?=?85 days; olanzapine (n?=?4702), 81 days; quetiapine (n?=?9327), 97 days; risperidone (n?=?4377), 85 days; ziprasidone (n?=?1520), 82 days. After adjusting for baseline characteristics, time to psychiatric hospitalization in beneficiaries initiating aripiprazole was longer compared to olanzapine (hazard ratio [HR]?=?1.52, p?<?0.001), quetiapine (HR?=?1.40, p?<?0.001), ziprasidone (HR?=?1.33, p?=?0.032), and risperidone, although the latter difference did not reach significance (HR?=?1.18, p?=?0.13). The adjusted costs of psychiatric hospitalization in beneficiaries initiating aripiprazole were significantly lower compared to those initiating quetiapine (incremental per-patient per-month difference?=?$42, 95% CI?=?$16–66, p?<?0.05), but not significantly lower for the other comparisons.

Limitations:

This study was based on a non-probability convenience sample of the Medicaid population. Analyses of administrative claims data are subject to coding and classification error.

Conclusions:

Medicaid beneficiaries with bipolar disorder initiating aripiprazole had significantly longer time to psychiatric hospitalization than those initiating olanzapine, quetiapine, or ziprasidone, and significantly lower adjusted costs for psychiatric hospitalization than those initiating quetiapine.     

Cost of skeletal complications from bone metastases in six European countries

Objective Patients with bone metastases or lesions secondary to solid tumors or multiple myeloma often experience bone complications (skeletal-related events [SREs]—radiation to bone, pathologic fracture, surgery to bone, and spinal cord compression); however, recent data that can be used to assess the value of treatments to prevent SREs across European countries are limited. This study aimed to provide estimates of health resource utilization (HRU) and cost associated with all SRE types in Europe. HRU data were reported previously; cost data are reported herein.

Methods Eligible patients from 49 centers across Austria (n?=?57), the Czech Republic (n?=?59), Finland (n?=?60), Greece (n?=?59), Portugal (n?=?59), and Sweden (n?=?62) had bone metastases or lesions secondary to breast, lung, or prostate cancer, or multiple myeloma, and ≥1 index SRE (a SRE preceded by a SRE-free period of ≥?6.5 months). SRE-related costs were estimated from a payer perspective using health resource utilization data from patient charts (before and after the index SRE diagnosis). Country-specific unit costs were from 2010 and local currencies were converted to 2010 euros.

Results The mean costs across countries were €7043, €5242, €11,101, and €11,509 per radiation to bone, pathologic fracture, surgery to bone, and spinal cord compression event, respectively. Purchasing power parity (PPP)-adjusted mean cost ratios were similar in most countries, with the exception of radiation to bone.

Limitations The overall burden of SREs may have been under-estimated owing to home visits and evaluations outside the hospital setting not being reported here.

Conclusions All SREs were associated with substantial costs. Variation in SRE-associated costs between countries was most likely driven by differences in treatment practices and unit costs.     

Hospitalization rates in patients switched from oral anti-psychotics to aripiprazole once-monthly: final efficacy analysis

Abstract

Objective:

To compare hospitalization rates in patients with schizophrenia treated prospectively with aripiprazole once-monthly 400?mg (AOM 400; an extended-release injectable suspension) vs the same patients’ retrospective rates with their prior oral anti-psychotic therapy.

Research design and methods:

Multi-center, open-label, mirror-image, naturalistic study in a community setting in North America. Patients who required a change in treatment and/or would benefit from long-acting injectable anti-psychotic therapy were treated prospectively for 6 months with AOM 400. Retrospective data on hospitalization rates were obtained.

Clinical trial registration:

ClinicalTrials.gov: NCT01432444.

Main outcome measures:

The proportion of patients with ≥1 psychiatric inpatient hospitalization with oral anti-psychotic therapy examined retrospectively (months –4 to –1 before oral conversion) and after switching to AOM 400 (months 4–6 after initiating AOM 400).

Results:

Psychiatric hospitalization rates were significantly lower when patients were treated with AOM 400 compared with oral anti-psychotic therapy both in the 3-month primary efficacy sample (2.7% [n?=?9/336] vs 27.1% [n?=?91/336], respectively; p?<?0.0001) and in the total sample (6-month prospective rate: 8.8% [n?=?38/433] vs 6-month retrospective rate: 38.1% [n?=?165/433]; p?<?0.0001). Discontinuations due to adverse events (AEs) during cross-titration were lower in patients cross-titrated on oral aripiprazole for >1 and <4 weeks (2.9% [n?=?7/239]) compared with patients cross-titrated for ≤1 week (10.4% [n?=?5/48]). The most common treatment-emergent AEs during the prospective treatment phase were insomnia (6.7% [n?=?29/431]) and akathisia (6.5% [n?=?28/431]). Patient-rated injection-site pain decreased from the first injection to the last visit.

Conclusions:

In a community setting, patients with schizophrenia demonstrated significantly lower psychiatric hospitalization rates after switching from their prior oral anti-psychotic therapy to AOM 400. Patients served as their own control, and thus an active control group was not included in this study. Confounding factors, such as insurance coverage and availability of hospital beds, were not examined here and deserve further consideration.     

Hospitalisation rates in patients switched from oral anti-psychotics to aripiprazole once-monthly for the management of schizophrenia

Abstract

Objective:

To report the design and preliminary results of a mirror-image study comparing total psychiatric hospitalisation rates pre- and post-switch to aripiprazole once-monthly, an extended release injectable solution.

Methods:

A multi-center, open-label mirror-image study of patients (18–65 years) with schizophrenia to compare total psychiatric hospitalisation rates between retrospective treatment with oral standard-of-care (SOC) anti-psychotics and prospective treatment with aripiprazole once-monthly in a naturalistic community setting in North America. Total psychiatric hospitalisation rates were assessed between retrospective (Months ?4 to ?1) and prospective treatment periods (Months 4–6) for patients who completed ≥3 months aripiprazole once-monthly.

Results:

One hundred and eighty-three patients entered the prospective phase. After switching to aripiprazole once-monthly, total psychiatric hospitalisation rates for the 3-month prospective period were significantly lower (p?<?0.0001, Exact McNemar’s test) compared with the retrospective 3-month period when the same patients received SOC anti-psychotics (6.6% [n?=?8/121] vs 28.1% [n?=?34/121], respectively; rate ratio?=?0.24). Similarly, total psychiatric hospitalisation rates for all patients who entered the prospective treatment phase were significantly lower (p?<?0.0001, Exact McNemar’s test) for the prospective 6 months following switch to aripiprazole once-monthly, compared with the retrospective 6-month SOC period (14.2% [n?=?26/183] vs 41.5% [n?=?76/183], respectively; rate ratio?=?0.34). Common treatment-emergent adverse events (occurring in ≥5% of patients) were psychotic disorder (7.7%), akathisia (7.2%), and insomnia (7.2%). Discontinuation (all causes) during the prospective phase was 44.8% (n?=?82/183).

Limitations:

Mirror-image studies do not include a parallel active control; as each patient serves as their own control, it cannot be determined whether other treatments may have similar effects. Treatment and trial effects may be difficult to separate. Independent factors such as admission patterns, insurance coverage, availability of hospital beds, and community support may influence rates of hospitalisation.

Conclusions:

Switching to aripiprazole once-monthly substantially reduced total psychiatric hospitalisation rates compared with retrospective rates in the same patients taking oral SOC.     

Elicitation of health state utilities associated with differing durations of morning stiffness in rheumatoid arthritis

Abstract

Objective:

Specific symptoms of rheumatoid arthritis (RA), including joint stiffness and functional disability, are most severe in the morning. ‘Morning stiffness’ has a negative impact on health-related quality-of-life (HRQoL); however, how HRQoL is correlated to morning stiffness duration is unknown. The objective of this study was to obtain population-based utility values associated with different durations of morning stiffness in RA.

Design and methods:

The time-trade-off (TTO) approach was used to elicit utility values for four different health states (HS), which differed in morning stiffness duration. One hundred and nine members of the UK general public rated each HS in individual face-to-face interviews with trained investigators. TTO scores were converted into utility values. Visual Analog Scale (VAS) scores were obtained to validate TTO scores.

Results:

On a scale of 0 (death) to 1 (full health), a mean utility value of 0.45?±?0.29 was elicited for ～3?h of morning stiffness (anchor HS), 0.50?±?0.28 for 2–3?h of morning stiffness (HS1), 0.61?±?0.25 for 1–2?h of morning stiffness (HS2) and 0.78?±?0.20 for <1?h of morning stiffness (HS3). The difference between each HS was statistically significant (p?<?0.01). Mean VAS utility scores followed the same trend. Utility incrementally increased with each HS associated with a shorter duration of morning stiffness. Limitations of this research include potential bias from the TTO method due to the discounting effect of time, scale compatibility, and loss aversion.

Conclusions:

The UK population-based utility values show a reduction in morning stiffness duration in RA is associated with improved HRQoL. Despite the impact of morning stiffness on HRQoL, it is rarely evaluated and little is known as to how it is affected by current treatments. The results of this study can be applied in future cost-utility analyses of healthcare interventions which target an improvement in morning stiffness duration for RA patients.     

Flexible insulin dosing improves health-related quality-of-life (HRQoL): a time trade-off survey

Abstract

Purpose:

People with insulin-treated diabetes often face strict regimens with inflexible dose timing, frequent injections, and frequent self-measured blood glucose (SMBG) testing. The objective of this study was to estimate the health-related quality-of-life (HRQoL) impact of these aspects using time trade-off (TTO) methods.

Methods:

HRQoL was examined via a TTO survey in the UK, Canada, and Sweden with separate analyses of 2465 respondents from the general population, 274 people with type 1 diabetes, and 417 people with type 2 diabetes. Respondents evaluated health states with diabetes, SMBG testing, and basal injections that were once-daily time flexible, once-daily at a fixed time, and twice-daily at a fixed time in a basal or basal–bolus regimen.

Results:

Time-flexible basal injections were associated with 0.016 and 0.013 higher utility vs a fixed time of injection for basal-only and basal–bolus regimens, respectively, as evaluated by the general population. The diabetes respondents confirmed the basal-only results with 0.015 higher utility, but the difference in utility was non-significant for basal–bolus. Once-daily injections had higher utility compared with twice-daily injections for basal (0.039 and 0.042) and basal–bolus (0.022 and 0.021) regimens, as evaluated by the general population and people with diabetes, respectively. Increased frequency of SMBG negatively affected health utility.

Limitations:

This study has the limitation that it measures hypothetical health states rather than the HRQoL of people with these health states; furthermore, it could be suggested that the web-based nature of this survey is biased towards literate respondents with internet access and IT competence.

Conclusions:

Flexible dosing and fewer injections have a positive HRQoL impact, which potentially may enhance therapy adherence and could contribute to improved long-term outcomes. The impact of flexibility is greater in people treated with basal-only insulin regimens, and diminishes if bolus injections are part of the treatment regimen.     

Adapting the Asthma Life Impact Scale (ALIS) for use in Southern European (Italian) and Eastern European (Russian) cultures

Abstract

Background:

The Asthma Life Impact Scale (ALIS) is a disease-specific measure used to assess the quality-of-life of people with asthma. It was developed in the UK and US and has proven to be acceptable to patients, to have good psychometric properties, and to be unidimensional.

Objective:

This paper reports on the adaptation and validation of the ALIS for use in representative Southern European (Italian) and Eastern European (Russian) languages.

Methods:

The ALIS was translated for both cultures using the dual-panel process. The newly translated versions were then tested with asthma patients to ensure face and content validity. Psychometric properties of the new language versions were assessed via a test–re-test postal survey conducted in both countries.

Limitations:

It is possible that some cultural or language differences still exist between the different language versions. Further research should be undertaken to determine responsiveness. Further studies designed to determine the clinical validity of the Italian ALIS would be valuable.

Results:

Linguistic nuances were easily resolved during the translation process for both language adaptations. Cognitive debriefing interviews (Russia n?=?9, male?=?11.1%, age mean (SD)?=?55.4 (13.2); Italy n?=?15, male?=?66.7%, age mean (SD)?=?63.5 (11.2)) indicated that the ALIS was easy to read and acceptable to patients. Psychometric testing was conducted on the data (Russia n?=?61, age mean (SD)?=?40.7 (15.4); Italy n?=?71, male?=?42.6%, age mean (SD)?=?49.5 (14.1)). The results showed that the new versions of the ALIS were consistent (Russian and Italian Cronbach’s alpha?=?0.92) and reproducible (Russian test–re-test?=?0.86; Italian test–re-test?=?0.94). The Italian adaptation showed the expected correlations with the NHP and the Russian adaptation showed strong correlations with the CASIS and CAFS and weak-to-moderate correlations with %FEV1 and %PEF. In both adaptations the ALIS was able to distinguish between participants based on self-reported general health, self-reported severity, and whether or not they were hospitalized in the previous week.     

Humanistic and economic impacts of hepatitis C infection in the United States

Abstract

Objective:

Prior research examining the effect of hepatitis C virus (HCV) on health-related quality of life (HRQoL) and healthcare costs is flawed because non-patient controls were not adequately comparable to HCV patients. The current study uses a propensity score matching methodology to address the following research question: is the presence of diagnosed hepatitis C (HCV) associated with poorer health-related quality of life (HRQoL) and greater healthcare resource use?

Methods:

Using data from the 2009 US National Health and Wellness Survey, patients who reported a HCV diagnosis (n?=?695) were compared to propensity-matched controls (n?=?695) on measures of HRQoL and healthcare resource use. All analyses applied sampling weights to project to the US population.

Results:

HCV patients reported significantly lower levels of HRQoL relative to the matched-control group, including the physical component score (39.6 vs. 42.7, p?<?0.0001) and health utilities (0.63 vs. 0.66, p?<?0.0001). The number of emergency room visits (0.59 vs. 0.44, p?<?0.05) and physician visits (7.7 vs. 5.9, p?<?0.05) in the past 6 months were significantly higher for the HCV group relative to matched controls.

Conclusion:

The results of this study suggest that HCV represents a substantial burden on patients by having a significant and clinically-relevant impact on key dimensions of HRQoL as well as on utilization of healthcare resources, the latter of which would result in increased direct medical costs.

Limitations:

Due to limitations of the internet survey approach (e.g., inability to confirm HCV diagnosis), future research is needed to confirm these findings.     

Mapping AcroQoL scores to EQ-5D to obtain utility values for patients with acromegaly

Aims: To estimate a preference-based single index for the disease-specific instrument (AcroQoL) by mapping it onto the EQ-5D to assist in future economic evaluations.

Materials and methods: A sample of 245 acromegaly patients with AcroQoL and EQ-5D scores was obtained from three previously published European studies. The sample was split into two: one sub-sample to construct the model (algorithm construction sample, n?=?184), and the other one to confirm it (validation sample, n?=?61). Various multiple regression models including two-part model, tobit model, and generalized additive models were tested and/or evaluated for predictive ability, consistency of estimated coefficients, normality of prediction errors, and simplicity.

Results: Across these studies, mean age was 50–60 years and the proportion of males was 36–59%. At overall level the percentage of patients with controlled disease was 37.4%. Mean (SD) scores for AcroQoL Global Score and EQ-5D utility were 62.3 (18.5) and 0.71 (0.28), respectively. The best model for predicting EQ-5D was a generalized regression model that included the Physical Dimension summary score and categories from questions 9 and 14 as independent variables (Adj. R²?=?0.56, with mean absolute error of 0.0128 in the confirmatory sample). Observed and predicted utilities were strongly correlated (Spearman r?=?0.73, p?<?.001) and paired t-Student test revealed non-significant differences between means (p?>?.05). Estimated utility scores showed a minimum error of ≤10% in 45% of patients; however, error increased in patients with an observed utility score under 0.2. The model’s predictive ability was confirmed in the validation cohort.

Limitations and conclusions: A mapping algorithm was developed for mapping of AcroQoL to EQ-5D, using patient level data from three previously published studies, and including validation in the confirmatory sub-sample. Mean (SD) utilities index in this study population was estimated as 0.71 (0.28). Additional research may be needed to test this mapping algorithm in other acromegaly populations.     

Real-world utilization of molecular diagnostic testing and matched drug therapies in the treatment of metastatic cancers

Aims: To assess the frequency of biopsies and molecular diagnostic testing (human DNA/RNA analysis), anti-cancer drug use (genomically-matched targeted therapy [GMTT], unmatched targeted therapy [UTT], endocrine therapy [ET], and chemotherapy [CT]), and medical service costs among adults with metastatic cancer.

Methods: Adults diagnosed with metastatic breast, non-small cell lung (NSCLC), colorectal, head and neck, ovarian, and uterine cancer (2010Q1–2015Q1) were identified in the OptumHealth Care Solutions claims database and followed from first metastatic diagnosis for ≥1 month and until the end of data availability. Utilization was assessed for each cancer cohort (all and patients aged ≥65 years); per-patient-per-month (PPPM) medical service costs were assessed for all patients. Testing frequency estimates were applied to Surveillance, Epidemiology, and End Results Program data to estimate the number of untested patients (2010–2014).

Results: Patients with metastatic cancer (n?=?8,193; breast [n?=?3,414], NSCLC [n?=?2,231], colorectal [n?=?1,611], head and neck [n?=?511], ovarian [n?=?275], and uterine [n?=?151]) were 63 years old (mean), with 11.1–22.2 months of observation. Biopsy and molecular diagnostic testing frequencies ranged from 7% (uterine) to 73% (ovarian), and from 34% (head and neck) to 52% (breast), respectively. Few were treated with GMTT (breast, 11%; NSCLC, 9%; colorectal, 6%). Treatment with UTT ranged from 0.7% (uterine) to 21% (colorectal). Biopsy, diagnostic testing, and anti-cancer drug therapy were less frequent for those ≥65 years. Medical service costs (PPPM, mean) ranged from $6,618 (head and neck) to $9,940 (ovarian). The estimated number of untested new patients with metastatic cancer was 636,369 (all) and 341,397 (≥65).

Limitations: In addition to the limitations of claims analyses, diagnostic testing frequency may be under-estimated if patients underwent testing prior to study inclusion.

Conclusions: The low frequency of molecular diagnostic testing suggests there are opportunities to better inform management of patients with advanced cancer, particularly decisions to treat with GMTT.     

The association between osteoporosis and patient outcomes in Japan

Objective To quantify the burden of osteoporosis and examine the interplay between osteoporosis and various comorbidities as it relates to patient outcomes.

Methods Data from the 2011 Japan National Health and Wellness Survey (NHWS; n?=?30 000), an internet health survey fielded to a nationally representative sample of the Japanese population were used. Only women between the ages of 50–90 years were included in the analyses (n?=?6950).

Results Compared with matched controls (n?=?404), patients with osteoporosis (n?=?404) had lower MCS scores (48.94 vs 51.63), PCS scores (45.57 vs 49.12) (all p?<?0.05). The presence of osteoporosis was associated with worse patient outcomes among those with hypertension, high cholesterol, and insomnia, among other conditions.

Conclusions The results suggest a significant quality-of-life and economic burden for patients with osteoporosis in Japan. Moreover, in a complex co-morbid environment, the presence of osteoporosis contributes more to patient outcomes than other chronic conditions.     

Corroboration of claims algorithm for second-line costs of metastatic colorectal cancer treatment with targeted agents

Abstract

Objective:

To refine a claims algorithm for identifying second-line systemic regimens for metastatic colorectal cancer (mCRC) based on clinical evidence and to compare costs during second-line treatment by targeted therapy administered.

Methods:

This retrospective analysis of a large US managed care database identified patients diagnosed with mCRC during 1 July 2007–30 June 2011. A claims-based algorithm was developed to identify patients with at least two lines of therapy (LOT) and the second LOT contained one targeted agent: bevacizumab or any anti-epidermal growth factor receptor (EGFR). Medical chart data from 92 patients were used to corroborate and refine the LOT algorithm. The positive predictive value (PPV) of the initial algorithm and refined algorithm for identification of second LOT are presented. The final algorithm was applied to claims data and two mutually exclusive second-line cohorts were examined: patients with bevacizumab- or cetuximab-containing regimens. Second-line healthcare costs were analyzed with generalized linear models adjusted for demographic and clinical characteristics.

Results:

The PPV increased from 50.0% (95% CI?=?39.4–60.6) for the initial algorithm to 72.1% (95% CI?=?59.2–82.9) for the final algorithm. Mean age in the cohorts (n?=?569) was 61 years; 58% were men. Days of therapy were similar for the bevacizumab (n?=?450) vs cetuximab (n?=?119) cohorts, respectively: 131 vs 148 in first LOT and 123 (both cohorts) in second LOT (p?≥?0.27). Total costs during second-line treatment in the bevacizumab cohort were lower by $12,318 (p?=?0.02) and medical costs were lower by $13,809 (p?=?0.01). Monthly total and medical costs were lower by $2728 (p?=?0.03) and $3133 (p?=?0.01), respectively. Results are based on commercially or Medicare-insured patients and may not be generalizable to Medicaid or uninsured patients.

Conclusions:

Corroboration of claim-based algorithms with medical chart data improved algorithm performance. Second-line total and medical costs were lower for mCRC patients treated with bevacizumab compared with cetuximab.     

The effect of pharmacogenetic profiling with a clinical decision support tool on healthcare resource utilization and estimated costs in the elderly exposed to polypharmacy

Objective:

To compare healthcare resource utilization (HRU) and clinical decision-making for elderly patients based on cytochrome P450 (CYP) pharmacogenetic testing and the use of a comprehensive medication management clinical decision support tool (CDST), to a cohort of similar non-tested patients.

Methods:

An observational study compared a prospective cohort of patients ≥65 years subjected to pharmacogenetic testing to a propensity score (PS) matched historical cohort of untested patients in a claims database. Patients had a prescribed medication or dose change of at least one of 61 oral drugs or combinations of ≥3 drugs at enrollment. Four-month HRU outcomes examined included hospitalizations, emergency department (ED) and outpatient visits and provider acceptance of test recommendations. Costs were estimated using national data sources.

Results:

There were 205 tested patients PS matched to 820 untested patients. Hospitalization rate was 9.8% in the tested group vs 16.1% in the untested group (RR?=?0.61, 95% CI?=?0.39–0.95, p?=?0.027), ED visit rate was 4.4% in the tested group vs 15.4% in the untested group (RR?=?0.29, 95% CI?=?0.15–0.55, p?=?0.0002) and outpatient visit rate was 71.7% in the tested group vs 36.5% in the untested group (RR?=?1.97, 95% CI?=?1.74–2.23, p?<?0.0001). The rate of overall HRU was 72.2% in the tested group vs 49.0% in the untested group (RR?=?1.47, 95% CI?=?1.32–1.64, p?<?0.0001). Potential cost savings were estimated at $218 (mean) in the tested group. The provider majority (95%) considered the test helpful and 46% followed CDST provided recommendations.

Conclusion:

Patients CYP DNA tested and treated according to the personalized prescribing system had a significant decrease in hospitalizations and emergency department visits, resulting in potential cost savings. Providers had a high satisfaction rate with the clinical utility of the system and followed recommendations when appropriate.     

Medical resource utilization and costs among Australian patients with genotype 1 chronic hepatitis C: results of a retrospective observational study

Objective: To evaluate medical resource utilization (MRU) and associated costs among Australian patients with genotype 1 chronic hepatitis C (GT1 CHC), including both untreated patients and those receiving treatment with first-generation protease inhibitor-based regimens (telaprevir, boceprevir with pegylated interferon and ribavirin).

Methods: Medical records were reviewed for a stratified random sample of GT1 CHC patients first attending two liver clinics between 2011–2013 (principal population; PP), supplemented by all GT1 CHC patients attending one transplant clinic in the same period (transplant population; TP). CHC-related MRU and associated costs are reported for the PP by treatment status (treated/not treated) stratified by baseline fibrosis grade; and for the TP for the pre-transplant, year of transplant and post-transplant periods.

Results: A total 1636 patients were screened and 590 patients (36.1%) were included. Comprehensive MRU data were collected for 276 PP patients (F0–1 n?=?59, F2 n?=?58, F3 n?=?53, F4 n?=?106; mean follow-up?=?17.3 months). Thirty-eight (13.8%) were treatment-experienced prior to enrolment; 55 (19.9%) received triple therapy during the study. Data were collected for 112 TP patients (mean follow-up?=?29.9 months), 33 (29.5%) received a transplant during the study, and 51 (45.5%) beforehand. The annual direct medical costs, excluding drug costs, were higher among treated PP vs untreated PP (AU$: $1,954 vs $1,202); and year of transplant TP vs pre-/post-transplant TP (AU$: pre-transplant $32,407, transplant $155,138, post-transplant $7,358).

Limitations: To aid interpretation of results, note that only patients with GT1 CHC who are actively managed are included, and MRU data were collected specifically from liver outpatient clinics. That said, movement of patients between hospitals is rare, and any uncaptured MRU is expected to be minimal.

Conclusions: CHC-related MRU increases substantially with disease severity. These real-world MRU data for GT1 CHC will be valuable in assessing the impact of new hepatitis C treatments.