Costs and complications associated with transvenous lead reoperation in cardiac implantable electronic devices.

BACKGROUND: Cardiac implantable electronic device transvenous (TV) lead reoperations are projected to increase, and robust economic data are needed to assess the resulting financial impact and the cost-effectiveness of prevention and treatment strategies. This study estimates Medicare costs, and describes patterns of complications, in patients who underwent TV lead reoperation. METHODS AND RESULTS: Medicare data (2010-2014) were used to identify patients who underwent TV lead reoperation. Cumulative costs to Medicare, and rates of infection and mechanical complications were calculated from 180 days before, to 180 days after, lead reoperation. Multivariate analysis was used to estimate adjusted costs, and to examine the impact of complications on medical resource use and costs. There were 1691 patients, 63.2% of whom underwent inpatient lead reoperation. Overall, the mean age was 78.2 years, 39.6% were female, and 92.3% were white. The mean cumulative cost was $36 199 (95% confidence interval [CI], $31 864-$40 535) for TV lead repositioning, $27 701 (95% CI, $19 869-$35 534) for repair, and $54 442 (95% CI, $51 651-$57 233) for removal. Underlying infection was associated with increased odds of inpatient reoperation and of lead removal, as well as longer length of stay and higher costs. CONCLUSIONS: The economic consequences of TV lead reoperation are substantial. Strategies aimed at reducing reoperation, particularly lead removal, are likely to result in considerable cost offsets.

Cost-effectiveness analysis of erenumab for the preventive treatment of episodic and chronic migraine: Results from the US societal and payer perspectives.

Objectives To assess the cost-effectiveness of erenumab 140 mg ("erenumab") for the prophylactic treatment of episodic migraine and chronic migraine. Study design A hybrid Monte Carlo patient simulation and Markov cohort model was constructed to compare erenumab to no preventive treatment or onabotulinumtoxinA among adult ( ≥ 18 years) patients with episodic migraine and chronic migraine who failed prior preventive therapy from the US societal and payer perspectives. Methods Patients entered the model one at a time and were assigned to a post-treatment monthly migraine day category based on baseline monthly migraine days and treatment effect. Using monthly cycles, patients were followed for 2 years and accumulated costs and utilities associated with their post-treatment monthly migraine days. The primary outcome included the incremental cost-effectiveness ratio presented as cost per quality-adjusted life year gained. Results With an annual drug price of erenumab of $6900, treatment with erenumab in the societal perspective ranges from a dominant strategy versus no preventive treatment among chronic migraine patients to an incremental cost-effectiveness ratio of $122,167 versus no preventive treatment among episodic migraine patients. When excluding indirect costs (i.e. payer perspective), the incremental cost-effectiveness ratios are cost-effective among chronic migraine patients ($23,079 and $65,720 versus no preventive treatment and onabotulinumtoxinA, respectively), but not among episodic migraine patients ($180,012 versus no preventive treatment). Model results were sensitive to changes in monthly migraine days, health utilities, and treatment costs. Conclusion The use of erenumab may be a cost-effective approach to preventing monthly migraine days among patients with chronic migraine versus onabotulinumtoxinA and no preventive treatment in the societal and payer perspectives, but is less likely to offer good value for money for those with episodic migraine, unless lost productivity costs are considered.

Development and validation of a claims-based measure as an indicator for disease status in patients with multiple sclerosis treated with disease-modifying drugs.

BACKGROUND: Administrative healthcare claims data provide a mechanism for assessing and monitoring multiple sclerosis (MS) disease status across large, clinically representative "real-world" populations. The estimation of MS disease status using administrative claims can be a challenge, however, due to a lack of detailed clinical information. Retrospective claims analyses in MS have traditionally used rates of MS relapses to approximate disease status. Healthcare costs may be alternate, broader claims-based indicators of disease activity because costs reflect multiple facets of care of patients with MS, and there is a strong correlation between quality of life of patients with MS and costs of the disease. This study developed, tested, and validated a healthcare cost-based measure to serve as an indicator of overall disease status in patients with MS treated with disease-modifying drugs (DMDs) utilizing administrative claims. METHODS: Using IMS Health Real World Data Adjudicated Claims - US data (January 2006-June 2013), a negative binomial regression predicted annual all-cause medical costs. Coefficients reaching statistical significance (p < 0.05) and increasing costs by ≥5% were selected for inclusion into an MS-specific severity score (scale of 0 to 100). Components of the score included rehabilitation services, altered mental state, pain, disability, stiffness, balance disorder, urinary incontinence, numbness, malaise/fatigue, and infections. Coefficient weights represented each predictor's contribution. The predictive model was derived using 50% of a random sample and tested/validated using the remaining 50%. RESULTS: Average overall predicted annual total medical cost was $11,134 (development sample, n = 11,384, vs. $10,528 actual) and $11,303 (validation sample, n = 11,385, vs. $10,620 actual). The model had consistent bias (approximately +$600 or +6% of actual costs) for both samples. In the validation sample, mean MS disease status scores were 0.24, 8.95, and 21.77 for low, medium, and high tertiles, respectively. Mean costs were most accurately predicted among less severe patients ($5243 predicted vs. $5233 actual cost for lowest tertile). CONCLUSION: The algorithm developed in this study provides an initial step to helping understand and potentially predict cost changes for a commercially insured MS population.

Economic Evaluation of Linaclotide for the Treatment of Adult Patients With Chronic Idiopathic Constipation in the United States.

PURPOSE: To evaluate the effectiveness and costs of linaclotide (Linzess) versus lubiprostone (Amitiza) in the treatment of adult patients with chronic idiopathic constipation (CIC). DESIGN: A decision-tree model using model inputs derived from published literature, linaclotide phase 3 trial data, and a physician survey. METHODOLOGY: Measures of treatment efficacy were selected based on comparability between trial data, with posthoc analyses of linaclotide required to ensure comparability with available lubiprostone data. Response to therapy was defined as (1) having one of the best two satisfaction answers of a 5-point global treatment satisfaction scale at Week 4 or (2) having a weekly spontaneous bowel movement (SBM) frequency 4 at Week 4. Patients who do not respond to therapy are assumed to accrue costs associated with a treatment failure. Model time horizon is aligned with the lubiprostone clinical trial duration of 4 weeks. Model outputs include response rates, quality-adjusted life-years (QALYs) and direct costs. RESULTS: Linaclotide was associated with lower per-patient costs vs lubiprostone for both definitions of response ($946 vs $1,015 for global assessment and $727 vs $737 for SBM frequency). When treatment response was based on a global assessment of treatment satisfaction, linaclotide was associated with higher effectiveness (response: 39.3% vs 35.0%). For SBM frequency, linaclotide was slightly less effective compared to lubiprostone (response: 58.6% vs 59.6%), but also less costly. Base-case results were robust in sensitivity analysis. CONCLUSIONS: Linaclotide is less expensive with similar effectiveness when compared to lubiprostone for the treatment of CIC in adult patients.

Recurrent hospitalization and healthcare resource use among patients with deep vein thrombosis and pulmonary embolism: findings from a multi-payer analysis.

The objective of this study was to assess deep vein thrombosis and pulmonary embolism (DVT/PE) recurrence rates and resource utilization among patients with an initial DVT or PE event across multiple payer perspectives. Retrospective analyses were performed using a software tool that analyzes health plan claims to evaluate treatment patterns and resource utilization for various cardiovascular conditions. Six databases were analyzed from three payer perspectives (Commercial, Medicare, and Medicaid). Patients were ≥18 years old with a primary diagnosis of DVT or PE associated with an inpatient and/or emergency room claim, had received an antithrombotic within 7 days before or 14 days after index, and had no diagnosis of atrial fibrillation during follow-up. Outcomes were assessed over a 1 year period following index. More PE patients were hospitalized for their index event than DVT patients (42-59 % DVT and 69-86 % PE) and had longer mean length of stay (2.35-2.95 days DVT and 3.26-3.76 days PE). Recurrent event rates among PE patients (12-32 %) were higher than those for DVT patients (6-16 %) across all payers. The highest rate of recurrence was observed among the Medicaid population [23 % overall (VTE); 16 % DVT; 32 % PE]. All-cause hospitalization in the year following their VTE episode occurred in 23-67 % DVT patients and 30-68 % PE patients. Medicaid had the highest proportion of patients with hospitalizations and ER visits. Recurrent VTE events and all-cause hospitalizations are relatively common, especially for patients who had a PE, and among those in the Medicaid payer population.

Prevalence of menopausal symptoms among mid-life women: findings from electronic medical records.

BACKGROUND: To assess the prevalence of menopausal symptoms among women prescribed hormone therapy (HT) using electronic medical record data from a regional healthcare organization. METHODS: Retrospective data from the Reliant Medical Group from 1/1/2006-12/31/2011 were assessed for 102 randomly-selected patients. Study eligibility criteria included: females aged 45 to 65; prescribed oral or transdermal HT; no history of breast cancer, venous thromboembolism, stroke, gynecological cancer, or hysterectomy; continuously enrolled in the health plan for 1 year before and after the first observed HT prescription. Prevalence of menopause-related symptoms was analyzed descriptively at both the patient and visit levels. RESULTS: Mean age of patients was 54 years. The most common menopausal symptoms were: hot flushes (40%), night sweats (17%), insomnia (16%), vaginal dryness (13%), mood disorders (12%), and weight gain (12%). Among the 102 patients, 163 individual visits listing menopausal symptoms were identified, of which hot flushes (71 visits) were the most common symptom identified. CONCLUSION: Our findings provide recent data on the types of menopausal symptoms experienced by mid-life women prescribed HT. Electronic medical records may be a rich source of data for future studies of menopausal symptoms in this population.

Hospital days, hospitalization costs, and inpatient mortality among patients with mucormycosis: a retrospective analysis of US hospital discharge data.

BACKGROUND: Mucormycosis is a rare and potentially fatal fungal infection occurring primarily in severely immunosuppressed patients. Because it is so rare, reports in the literature are mainly limited to case reports or small case series. The aim of this study was to evaluate inpatient mortality, length of stay (LOS), and costs among a matched sample of high-risk patients with and without mucormycosis in a large nationally representative database. METHODS: We conducted a retrospective analysis using the 2003-2010 Healthcare Cost and Utilization Project - Nationwide Inpatient Sample (HCUP-NIS). The NIS is a nationally representative 20% sample of hospitalizations from acute care United States (US) hospitals, with survey weights available to compute national estimates. We classified hospitalizations into four mutually exclusive risk categories for mucormycosis: A- severely immunocompromised, B- critically ill, C- mildly/moderately immunocompromised, D- major surgery or pneumonia. Mucormycosis hospitalizations ("cases") were identified by ICD-9-CM code 117.7. Non-mucormycosis hospitalizations ("non-cases") were propensity-score matched to cases 3:1. We examined demographics, clinical characteristics, and hospital outcomes (mortality, LOS, costs). Weighted results were reported. RESULTS: From 319,366,817 total hospitalizations, 5,346 cases were matched to 15,999 non-cases. Cases and non-cases did not differ significantly in age (49.6 vs. 49.7 years), female sex (40.5% vs. 41.0%), White race (53.3% vs. 55.9%) or high-risk group (A-49.1% vs. 49.0%, B-20.0% vs. 21.8%, C-25.5% vs. 23.8%, D-5.5% vs. 5.4%). Cases experienced significantly higher mortality (22.1% vs. 4.4%, P<0.001), with mean LOS and total costs more than 3-fold higher (24.5 vs. 8.0 days and $90,272 vs. $25,746; both P<0.001). CONCLUSIONS: In a national hospital database, hospitalizations with mucormycosis had significantly higher inpatient mortality, LOS, and hospital costs than matched hospitalizations without mucormycosis. Findings suggest that interventions to prevent or more effectively treat mucormycosis are needed.

Survival, healthcare resource use and costs among stage IV ER + breast cancer patients not receiving HER2 targeted therapy: a retrospective analysis of linked SEER-Medicare data.

BACKGROUND: Few studies have evaluated survival, treatment, resource use, and costs among women with stage IV ER + breast cancer (BC) who did not receive HER2 targeted therapy. METHODS: Using linked Surveillance, Epidemiology, and End Results (SEER) and Medicare data from 2006-2009, women aged 66+ years with an incident diagnosis of stage IV ER + BC (index date) in 2007 and no HER2 targeted therapy were identified. A comparison cohort without cancer was created from the SEER 5% Medicare sample and matched 1:1 to the study cohort based on age, sex, and race. All patients had continuous enrollment for a 12-month baseline period prior to index and were followed until the end of the study window, disenrollment, or death, whichever came first. Resource utilization and costs (by place of service, reported per patient per month, PPPM) were compared across cohorts. Treatment patterns including receipt of surgery, radiation, chemotherapy, aromatase inhibitors (AI), and non-AI hormonal therapy were evaluated for study cohort patients with at least 2 months of follow-up. Kaplan-Meier survival analysis was also conducted. RESULTS: 325 women with stage IV ER + BC without HER2 targeted therapy were identified and matched to 325 women without cancer. Mean age was 77 years for both cohorts, with average follow-up of 18 months for study patients and 26 months for comparison patients. Compared to the comparison cohort, study patients had significantly higher mortality (60.3% versus 31.1%, P < 0.001), shorter survival (survival at 36 months 28% vs. 62%) and higher resource utilization across all settings except for oral prescription drugs. Total PPPM healthcare costs were also significantly higher among study patients ($7,271 vs. $1,778, P < 0.001). Approximately 57% of study patients with 2+ months of follow-up received chemotherapy and over 62% received an AI during follow-up. Within 4 months of cancer diagnosis, surgery and radiation were received by 39% and 32% of study patients, respectively. CONCLUSIONS: We found significant excess clinical and economic burden among women with stage IV ER + breast cancer who did not receive HER2 targeted therapy. Future studies with more precise and recent data are warranted to confirm and extend these results.

Anticoagulant use for the prevention of stroke in patients with atrial fibrillation: findings from a multi-payer analysis.

BACKGROUND: Oral anticoagulation is recommended for stroke prevention in intermediate/high stroke risk atrial fibrillation (AF) patients. The objective of this study was to demonstrate the usefulness of analytic software tools for descriptive analyses of disease management in atrial AF; a secondary objective is to demonstrate patterns of potential anticoagulant undertreatment in AF. METHODS: Retrospective data analyses were performed using the Anticoagulant Quality Improvement Analyzer (AQuIA), a software tool designed to analyze health plan data. Two-year data from five databases were analyzed: IMS LifeLink (IMS), MarketScan Commercial (MarketScanCommercial), MarketScan Medicare Supplemental (MarketScanMedicare), Clinformatics™ DataMart, a product of OptumInsight Life Sciences (Optum), and a Medicaid Database (Medicaid). Included patients were ≥ 18 years old with a new or existing diagnosis of AF. The first observed AF diagnosis constituted the index date, with patient outcomes assessed over a one year period. Key study measures included stroke risk level, anticoagulant use, and frequency of International Normalized Ratio (INR) monitoring. RESULTS: High stroke risk (CHADS2 ≥ 2 points) was estimated in 54% (IMS), 22% (MarketScanCommercial), 64% (MarketscanMedicare), 42% (Optum) and 62% (Medicaid) of the total eligible population. Overall, 35%, 29%, 38%, 39% and 16% of all AF patients received an anticoagulant medication in IMS, MarketScanCommercial, MarketScanMedicare, Optum and Medicaid, respectively. Among patients at high risk for stroke, 19% to 51% received any anticoagulant. CONCLUSIONS: The AQuIA provided a consistent platform for analysis across multiple AF populations with varying baseline characteristics. Analyzer results show that many high-risk AF patients in selected commercial, Medicare-eligible, and Medicaid populations do not receive appropriate thromboprophylaxis, as recommended by treatment guidelines.

Failure of surgical and endovascular infrainguinal and iliac procedures in the management of peripheral arterial disease using data from electronic medical records.

PURPOSE: To understand rates of procedure failure among patients undergoing revascularization for peripheral arterial disease (PAD) in clinical practice. MATERIALS AND METHODS: This retrospective analysis of patients with PAD who underwent a PAD-related procedure used claims and electronic medical record data from 2005 to 2009. Procedures were grouped by type (endovascular [ie, angioplasty with/without stent, atherectomy] or surgical [ie, bypass surgery, endarterectomy, thrombectomy]) and site (ie, iliac, infrainguinal). The study assessed antiplatelet and anticoagulant agent use; procedure failure, defined as a subsequent procedure or amputation; and predictors of time to procedure failure. RESULTS: A sample of 248 patients with PAD who underwent a PAD-related procedure was identified. The population was 59% male, had a mean age of 73 years, and had a mean follow-up of 23 months. Endovascular procedures alone were performed in 37% of patients, with the remainder receiving surgery only or surgery with an endovascular procedure, and 79% of patients had an infrainguinal intervention. Antiplatelet and anticoagulant use rates after the procedure were 90% and 25%, respectively. After their initial procedure, 20% of patients required a second procedure or amputation, with an average failure time of 228 days. Patients treated with infrainguinal procedures had a significantly higher failure rate versus those treated with iliac procedures (23% vs 8%; P = .011). In multivariate analysis, patients without anticoagulant use before the procedure were at significantly lower failure risk (P = .022). CONCLUSIONS: Repeated intervention and/or major amputation after revascularization of PAD was common. Further investigation of the factors associated with procedure failure is warranted.

National trends in advanced outpatient diagnostic imaging utilization: an analysis of the medical expenditure panel survey, 2000-2009.

BACKGROUND: Concerns have been raised regarding growth in advanced diagnostic imaging use. This study evaluated trends in national outpatient MRI/CT utilization rates during 2000-2009 and factors associated with utilization. METHODS: This retrospective database analysis used data on all respondents in the nationally representative U.S. Medical Expenditure Panel Survey (MEPS) during 2000-2009. Visits involving advanced diagnostic imaging were identified based on self-reported use of MRI or CT tests at emergency departments, office-based medical providers, and outpatient departments. The imaging utilization rate was defined as the number of outpatient visits with MRI/CT per 1,000 person-years. Results were weighted to create nationally representative estimates at the person-year level for each year and the pooled 10-year period. A multivariate logistic regression was estimated to identify predictors of imaging use. RESULTS: A total of 319,246 person-years were included in the analysis. MRI/CT utilization rates increased from 64.3 to 109.1 per 1,000 person years from 2000 to 2009, with older persons, females and Medicare enrollees having higher rates of use. Growth in imaging slowed in recent years; the average annual decline in the imaging growth rate was larger than that for all outpatient services (4.7% vs. 0.9%). The percentage of respondents with MRI/CT use (6.7% during 2000-2009) also increased at a slower rate in later years and declined during 2007-2009. The average number of MRI/CT visits among imaging users was steady at about 1.5 visits during 2000-2009. Age, female gender, White race, HMO participation, and all payer types (vs. uninsured) were significant predictors of imaging use. Compared to 2005, years 2000-2003 were associated with a significantly lower likelihood of imaging use, while years 2004-2009 were not significantly associated, suggesting a slow-down in later years. CONCLUSIONS: Growth in advanced imaging utilization appears to have slowed in recent years, a finding of potential interest to policy-makers and payers.

Medical care costs and survival associated with hepatocellular carcinoma among the elderly.

BACKGROUND & AIMS: We assessed the burden of hepatocellular carcinoma (HCC), in terms of mortality and medical care costs, based on analysis of the Surveillance, Epidemiology and End Results (SEER)-Medicare database. METHODS: We analyzed data from the SEER-Medicare database on patients 66 years or older who were diagnosed with primary HCC from 1991 to 2007, entitled for Medicare Parts A and B, and not enrolled in health maintenance organizations (n = 5712). Controls were individuals without HCC, identified from a 5% sample of Medicare beneficiaries residing in SEER areas; they were matched 1:1 with individuals with HCC (cases) for age, sex, race, and geographic region (average age, 75 y; 34.7% female). Kaplan-Meier analysis was used to estimate survival distributions. Costs were reported in 2009 dollars; per-patient-per-month (PPPM) costs were compared between cases and controls using the Wilcoxon rank sum test. RESULTS: The largest proportion of cases had localized disease (38.2%), followed by regional (24.0%), unstaged (20.4%), and distant (17.3%) disease. The median survival times were 5 months for cases and 60 months for controls; they were 3 months for patients with distant disease, 4 months for patients with regional disease, and 9 months for those with localized disease. The mean PPPM costs were $7863 for cases and $1243 for controls (P < .001). These costs were primarily driven by inpatient (mean, $5439 vs $682 without HCC; P < .001) and hospice (mean $554 vs $42 without HCC; P < .001) care. Mean PPPM costs by stage were $7265 for localized disease, $8072 for regional disease, and $9585 for distant disease (P < .001 for trend). CONCLUSIONS: Based on analysis of the SEER-Medicare database, costs for patients with HCC are approximately 6- to 8-fold higher than for those without this cancer. Patients with distant HCC had the greatest costs. These findings highlight that HCC is a substantial medical cost burden for elderly patients.

Lost productivity due to premature mortality in developed and emerging countries: an application to smoking cessation.

BACKGROUND: Researchers and policy makers have determined that accounting for productivity costs, or "indirect costs," may be as important as including direct medical expenditures when evaluating the societal value of health interventions. These costs are also important when estimating the global burden of disease. The estimation of indirect costs is commonly done on a country-specific basis. However, there are few studies that evaluate indirect costs across countries using a consistent methodology. METHODS: Using the human capital approach, we developed a model that estimates productivity costs as the present value of lifetime earnings (PVLE) lost due to premature mortality. Applying this methodology, the model estimates productivity costs for 29 selected countries, both developed and emerging. We also provide an illustration of how the inclusion of productivity costs contributes to an analysis of the societal burden of smoking. A sensitivity analysis is undertaken to assess productivity costs on the basis of the friction cost approach. RESULTS: PVLE estimates were higher for certain subpopulations, such as men, younger people, and people in developed countries. In the case study, productivity cost estimates from our model showed that productivity loss was a substantial share of the total cost burden of premature mortality due to smoking, accounting for over 75 % of total lifetime costs in the United States and 67 % of total lifetime costs in Brazil. Productivity costs were much lower using the friction cost approach among those of working age. CONCLUSIONS: Our PVLE model is a novel tool allowing researchers to incorporate the value of lost productivity due to premature mortality into economic analyses of treatments for diseases or health interventions. We provide PVLE estimates for a number of emerging and developed countries. Including productivity costs in a health economics study allows for a more comprehensive analysis, and, as demonstrated by our illustration, can have important effects on the results and conclusions.

Incidence of venous thromboembolism among chemotherapy-treated patients with lung cancer and its association with mortality: a retrospective database study.

Cancer patients, especially those with lung cancer and undergoing chemotherapy, have an elevated risk for venous thromboembolism (VTE). This study assessed incidence, timing, and risk factors for VTE (specifically receipt of chemotherapy), along with the association between VTE and survival among lung cancer patients receiving chemotherapy. Using Florida Medicaid administrative claims data (2000-2008), patients with any diagnosis of primary lung cancer were selected. Patients with recent prior VTE and those enrolled in Medicare or an HMO were excluded. Crude rates of VTE per 100 person years were estimated, and Cox proportional hazards models were developed to assess risk factors for VTE in the lung cancer population, and the association between VTE and survival among patients undergoing chemotherapy. Of 15,749 lung cancer patients, 7,052 (2,242 receiving chemotherapy and 4,810 not receiving chemotherapy) met cohort selection criteria. The incidence of VTE was 10.8 per 100 person-years (PYs) in the chemotherapy cohort and 6.8 per 100 PYs in the non-chemotherapy cohort. Among patients on chemotherapy developing VTE, median time to occurrence was 109 days, with 61 and 82 % of patients experiencing an event within six and 12 months, respectively. In multivariate analyses, the adjusted risk of VTE was 30 % higher among patients undergoing chemotherapy. Comorbidity and the presence of a central venous catheter also were significantly associated with a greater risk of developing VTE. Moreover, patients in the chemotherapy cohort who developed VTE had a significantly faster time-to-death (adjusted hazard ratio [HR] = 1.97; 95 % CI 1.69-2.29).VTE was common among lung cancer patients, especially among patients receiving chemotherapy, with the majority of VTE events occurring within 6 months of initiation of chemotherapy. The presence of a VTE event was significantly associated with an increased risk of mortality.

The economic burden of advanced liver disease among patients with hepatitis C virus: a large state Medicaid perspective.

BACKGROUND: Chronic hepatitis C virus (HCV) may progress to advanced liver disease (ALD), including decompensated cirrhosis and/or hepatocellular carcinoma (HCC). ALD can lead to significant clinical and economic consequences, including liver transplantation. This study evaluated the health care costs associated with ALD among HCV infected patients in a Medicaid population. METHODS: Using Florida Medicaid claims data, cases were patients with at least 1 diagnosis of HCV or prescription therapy for HCV (ribavirin plus interferon, peginterferon, or interferon alfacon-1) prior to an incident ALD-related diagnosis ("index event") between 1999 and 2007. ALD-related conditions included decompensated cirrhosis, HCC, or liver transplant. A cohort of HCV patients without ALD (comparison group subjects) were matched 1-to-1 based on age, sex, and race. Baseline and follow-up were the 12 months prior to and following index, respectively; with both periods allowing for a maximum one month gap in eligibility. For both case and comparison patient cohorts, per-patient-per-eligible month (PPPM) costs were calculated as total Medicaid paid amount for each patient over their observed number of eligible months in follow-up, divided by the patient's total number of eligible months. A generalized linear model (GLM) was constructed controlling for age, race, Charlson score, alcoholic cirrhosis, and hepatitis B to explore all-cause PPPM costs between study groups. The final study group included 1,193 cases and matched comparison patients (mean age: 49 years; 45% female; 54% white, 23% black, 23% other). RESULTS: The majority of ALD-related diagnoses were for decompensated cirrhosis (92%), followed by HCC (6%) and liver transplant (2%). Cases had greater comorbidity (mean Charlson score: 3.1 vs. 2.3, P < 0.001). All-cause inpatient use up to 1-year following incident ALD diagnosis was significantly greater among cases with ALD (74% vs. 27%, P < 0.001). In the GLM, cases had 2.39 times greater total adjusted mean all-cause PPPM costs compared to the comparison group ($4,956 vs. $1,735 respectively; P < 0.001). Among cases, mean total unadjusted ALD-related costs were $1,356 PPPM, which were largely driven by inpatient costs ($1,272). CONCLUSIONS: Our results suggest that among patients diagnosed with HCV, the incremental costs of developing ALD are substantial, with inpatient stays as the main driver of these increased costs.

A framework for assessing the value of diagnostic imaging in the era of comparative effectiveness research.

In June 2009, the Federal Coordinating Council for Comparative Effectiveness Research submitted a report to the President and Congress in which the Council described the purpose of comparative effectiveness research (CER) as developing evidence-based information for interventions and determining under what circumstances an intervention is effective (1). With the enactment of the Patient Protection and Affordable Care Act, a Patient-centered Outcomes Research Institute (PCORI) was established to assist decision makers in making evidence-based health decisions through synthesis and dissemination of clinical CER of health interventions (2). Its founding has underscored a heightened need for health policy makers to consider the impact of health care technologies on final outcomes of interest--for example, functional status, quality of life, disability, major clinical events, and mortality (3-5).

Relationship between glycemic control and diabetes-related hospital costs in patients with type 1 or type 2 diabetes mellitus.

BACKGROUND: Diabetes mellitus requires continuous medical care and patient self-management in order to prevent short-term complications and decrease the risk of long-term complications, which can result in substantial increases in the total economic burden of the disease. Findings from randomized clinical trials have shown that improved glycemic control may reduce the risk of long-term complications as long as a target for hemoglobin A1c is not set below 7% for intensive glycemic control. However, limited data from clinical practice are available regarding the relationship between glycemic control and medical costs associated with diabetes care. OBJECTIVE: To assess the potential relationships between glycemic levels, diabetes-related hospitalizations, and hospital costs among adult patients with either type 1 or type 2 diabetes mellitus who were assigned to a primary care provider (PCP) in a clinic that was affiliated with a managed care organization (MCO). METHODS: A retrospective cohort analysis was conducted using data from approximately 200,000 members of the Fallon Clinic Health Plan who were assigned to a clinic PCP at any time during a 5-year study period beginning January 1, 2002, and ending December 31, 2006. Patients aged 30 years or older with at least 2 medical claims with any listed diagnosis of diabetes mellitus (ICD-9-CM code 250.xx) during the study period and 2 or more A1c values within 1 year of each other during the study period (mean 7.6 tests over 39 months; median=6.8), were identified and stratified into 1 of 5 groups defined by 1% increments of A1c, based on their mean A1c values during the entire study period. A1c data were available only for tests ordered by a clinic provider; tests ordered by other specialists in the MCO's network were absent from the database. The study follow-up period started with each patient's first A1c test (index date) and continued until plan disenrollment, death, or December 31, 2006, whichever was earlier (end date), regardless of when the diagnosis of diabetes mellitus was made. Study measures included the proportion of patients with 1 or more diabetes-related hospitalizations, number of diabetes-related inpatient stays, and the associated estimated hospitalization costs over the follow-up period. Diabetes-related hospitalizations were identified based on a diagnosis, in any of 10 diagnosis fields, for 1 of 16 selected complications of diabetes identified by the authors. Hospital costs were estimated using discharge data (diagnoses and costs calculated from cost-to-charge ratios) contained in the 2004 Healthcare Cost and Utilization Project (HCUP) database and inflated to 2007 dollars using the medical care component of the Consumer Price Index. Multivariate models controlled for age, sex, number of A1c tests, diagnosis of cancer, and follow-up time. A multivariate logistic regression analysis was conducted with the occurrence of at least 1 diabetes-related hospital admission as the dependent variable. In the logistic regression analysis, follow-up time was defined as time from the index date to the date of the first diabetes-related hospitalization, plan disenrollment, death, or the study end date, whichever occurred first. A generalized linear model with a Poisson distribution and a log link was employed to estimate the rate of hospital admissions. In the Poisson regression analysis, follow-up time was defined as duration of the entire study follow-up period and was an offset variable. Costs were estimated using a 2-part model: first, we calculated the probability of having a hospitalization, as determined by the logistic regression above; second, a generalized linear model with a negative binomial distribution and a log link was used to predict the mean cost of diabetes-related hospitalizations only for patients with an inpatient stay, with the duration of the entire study follow-up period as an offset variable. We calculated the mean per patient cost of diabetes-related hospitalizations by multiplying the probability of having a hospitalization (as determined by the first part of the model) by the mean costs for patients who had such admissions (as determined by the second part of the model). RESULTS: 9,887 patients met study selection criteria. Mean A1c level was < 7% for 5,649 (57.1%) patients, 7% to < 8% for 2,747 (27.8%), 8% to < 9% for 1,002 (10.1%), 9% to < 10% for 312 (3.2%), and 10% or more for 177 (1.8%). Over a mean (median) 40 (40) months of follow-up (interquartile range = 30-50 months), 28.7% (n = 2,838) of patients had 1 or more diabetes- related hospital admissions. In the logistic regression analysis, odds of having at least 1 diabetes-related hospital stay did not significantly differ for patients with mean A1c of < 7% compared with patients in most higher mean A1c categories (7% to < 8%, 8% to < 9%, or 9% to < 10%); however, odds of having a diabetes-related hospitalization were significantly higher for patients with mean A1c of 10% or more compared with patients with mean A1c of < 7% (odds ratio = 2.13, 95% confidence interval = 1.36-3.33). In the negative binomial regression analysis of those with at least 1 hospital admission, estimated costs per hospitalized patient increased by mean A1c level. In the Poisson regression analysis, the rate of diabetes-related hospitalizations significantly increased by A1c level (13 per 100 patient-years for patients with mean A1c of < 7% vs. 30 per 100 patient-years for mean A1c of 10% or more when covariates were held at mean levels, P<0.001). In the 2-part model results, adjusted mean estimated costs of diabetes-related hospitalizations per study patient were $2,792 among those with mean A1c of < 7% and $6,759 among those with mean A1c of 10% or more. CONCLUSIONS: In this managed-care plan, the odds of having at least 1 diabetes-related hospitalization were not significantly associated with higher mean A1c except for patients with mean A1c of at least 10%. However, higher mean A1c levels were associated with significantly higher estimated hospitalization costs among those with at least 1 hospitalization and with higher rates of diabetes-related hospital utilization per 100 patient-years.

Do Research Groups Align on an Intervention's Value? Concordance of Cost-Effectiveness Findings Between the Institute for Clinical and Economic Review and Other Health System Stakeholders.

The Institute for Clinical and Economic Review (ICER) employs fixed cost-effectiveness (CE) thresholds that guide their appraisal of an intervention's long-term economic value. Given ICER's rising influence in the healthcare field, we undertook an assessment of the concordance of ICER's CE findings to the published CE findings from other research groups (i.e., "non-ICER" researchers including life science manufacturers, academics, and government institutions). Disease areas and pharmaceutical interventions for comparison were determined based on ICER evaluations conducted from 1 January 2015 to 31 December 2017. A targeted literature search was conducted for non-ICER CE publications using PubMed. Studies had to be conducted from the US setting, include the same disease characteristics (e.g., disease severity; treatment history), incorporate the same pharmaceutical interventions and comparison groups, and present incremental costs per quality-adjusted life-year (QALY) gained from the healthcare sector or payer perspective. Discordance was measured as the proportion of unique interventions that would have had more favorable valuations (i.e., low, intermediate, high value-for-money) if the CE findings from other research groups had been used for decision making instead of ICER's findings. More favorable valuations were defined as transitioning from low value (as determined by ICER) to intermediate or high value (as determined by other researchers) and from intermediate value (as determined by ICER) to high value (as determined by other researchers). Among the 13 non-ICER studies meeting inclusion criteria, six disease areas and 14 interventions were assessed. Of the 14 interventions, a more favorable valuation would have been recommended for ten therapies if the CE ratios from other research groups had been used for decision making instead of ICER's findings, representing a 71.4% (10/14) discordance rate. Moreover, these discrepancies were found in each of the evaluated disease areas, with the largest number of discordant valuations found in rheumatoid arthritis (five out of six interventions were discordant) followed by one valuation each in multiple sclerosis (one out of three), non-small cell lung cancer (one out of two), multiple myeloma (one out of one), high cholesterol (one out of one), and congestive heart failure (one out of one). Our findings indicate high discordance when comparing ICER's appraisals to the CE findings of non-ICER researchers. To understand the value of new interventions, the totality of evidence on the CE of an intervention-including results from ICER and non-ICER modeling efforts-should be considered when making coverage and reimbursement decisions.

Cost-utility analyses of targeted immunomodulators in rheumatoid arthritis: systematic review.

Aims: Cost-utility (CU) modeling is a common technique used to determine whether new treatments represent good value for money. As with any modeling exercise, findings are a direct result of methodology choices, which may vary widely. Several targeted immuno-modulators have been launched in recent years to treat moderate-to-severe rheumatoid arthritis (RA) which have been evaluated using CU methods. Our objectives were to identify common and innovative modeling choices in moderate-to-severe RA and to highlight their implications for future models in RA.Materials and methods: A systematic literature search was conducted to identify CU models in moderate-to-severe RA published from January 2013 to June 2019. Studies must have included an active comparator and used quality-adjusted life-years (QALYs) as the common measure of effectiveness. Modeling methods were characterized by stakeholder perspective, simulation type, mapping between parameters, and data sources.Results: Thirty-one published modeling studies were reviewed spanning 13 countries and 9 drugs, with common methodological choices and innovations observed among them. Over the evaluated time period, we observed common methods and assumptions that are becoming more prominent in the RA CU modeling landscape, including patient-level simulations, two-stage models combining trial results and real-world evidence, real-world treatment durations, long-term health consequences, and Health Assessment Questionnaire (HAQ)-related hospitalization costs. Models that consider the societal perspective are increasingly being developed as well.Limitations: This review did not consider studies that did not report QALYs as a utility measure, models published only as conference abstracts, or cost-consequence models that did not report an incremental CU ratio.Conclusions: CU modeling for RA increasingly reflects real-world conditions and patient experiences which are anticipated to provide better information in the assessment of health technologies. Future CU models in RA should consider applying the observed advances in modeling choices to optimize their CU predictions and simulation of real-world outcomes.