Abstract P147: Healthcare Resource Utilization and Associated Costs in Type 2 Diabetes Mellitus Patients with Uncontrolled Glycemic Level or Blood Pressure

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Chien-Chia Chuang ◽  
Edward Lee ◽  
Sharvari Bhurke ◽  
Sabyasachi Ghosh ◽  
Alie Tawah ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Regression Models ◽  
Index Date ◽  
Healthcare Resource ◽  
Baseline Period ◽  
Healthcare Resource Utilization ◽  
Office Visits ◽  
Medical Encounter ◽  
Outpatient Visits

Background: Poor glycemic and blood pressure (BP) control in patients with type 2 diabetes mellitus (T2DM) may lead to higher risk of complications with varying healthcare resource utilization (HRU). We hypothesize that poor glycemic and BP control are associated with higher HRU/costs. Methods: This study analyzed electronic health records from integrated delivery networks across the US between 2008 and 2012. Adult T2DM patients with at least two HbA1c and BP measures over a 12-month baseline period were selected. The end of this baseline period marks the index date. Patients were required to have an additional 12-month follow-up after the index date to evaluate HRU/costs. Uncontrolled HbA1c was defined as ≥ 1 HbA1c measure that was ≥7% during the baseline period. Uncontrolled BP was defined as ≥ 2 measures with systolic BP ≥ 130mmHg or diastolic BP ≥ 80mmHg during the baseline period. Descriptive analysis was conducted to compare HRU/costs across study cohorts. Unit cost approach was applied to derive total medical encounter costs. Logistic regression models were performed to assess the association between uncontrolled HbA1c/BP and HRU. Results: Of the 96,312 T2DM patients included in this study (mean age: 62.4 years; female: 51.5%), 55.9% had uncontrolled HbA1c (mean age: 61.2 years; female: 49.4%) and 74.6% had uncontrolled BP (mean age: 62.3 years; female: 52.8%). Patients with uncontrolled HbA1c had a higher proportion of hospitalizations (16.6% vs. 15.0%) , ER visits (21.0% vs. 18.3%), and higher total medical encounter costs ($4,168 vs. $3,773) than controlled patients, but lower utilization of outpatient visits (28.5% vs. 33.1%) and physician office visits (93.9% vs. 94.3%) (all p<0.05). Patients with uncontrolled BP had a higher proportion of hospitalization (17.1% vs. 12.3%), ER visits (21.3% vs. 15.5%), and outpatient visits (33.3% vs. 22.5%) and higher total medical encounter costs ($4,236 vs. $3,282) than controlled patients, but lower utilization of physician office visits (93.6% vs. 95.4%) (all p<0.05). In regression models, uncontrolled HbA1c was associated with greater odds of having any hospitalization (odds ratio [OR]: 1.10; 95% confidence interval [CI]: 1.06–1.14) and ER visits (OR: 1.10; 95% CI: 1.07–1.14). Uncontrolled BP was also associated with greater odds of having any hospitalization (OR: 1.39; 95% CI: 1.33–1.45) and ER visits (OR: 1.37; 95% CI: 1.31–1.43). Conclusions: T2DM patients with uncontrolled HbA1c or BP had higher HRU in inpatient/ER settings and incurred higher costs. The findings highlight the clinical/economic significance of managing HbA1c and co-morbid hypertension among T2DM patients.

The Economic Burden of Pleural Effusions (PE) In Patients with Chronic Myeloid Leukemia (CML).

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 3841-3841
Author(s):  
Eric Qiong Wu ◽  
Annie Guerin ◽  
Vamsi Bollu ◽  
Denise Williams ◽  
Amy Guo ◽  
...  
Keyword(s):  
Resource Utilization ◽  
Medical Cost ◽  
Economic Burden ◽  
Regression Models ◽  
Index Date ◽  
Healthcare Resource ◽  
Healthcare Resource Utilization ◽  
Total Medical Cost ◽  
Employment Equity ◽  
Equity Ownership

Abstract Abstract 3841 Background: Ph+ CML patients may develop PE, as an adverse event of some tyrosine kinase inhibitors (TKI) drug therapy. PE is characterized by an excessive accumulation of fluid in the fluid-filled space that surrounds the lungs. PE requires medical care, may compromise the course of CML treatment, and have economic consequence beyond the costs of treating PE. Aim: To compare healthcare resource utilization and costs between CML patients treated with a TKI who developed PE and their matched PE-free controls. Methods: MarketScan and Ingenix Impact databases (2001-2009) were combined to identify adult CML patients (ICD-9CM code 205.1×) who received ≥1 prescription of imatinib, dasatinib, or nilotinib before the index date and had continuous enrollment ≥6 months prior to and after the index date. The index date was defined as 30 days before the first PE diagnosis (ICD-9CM code 511.9×) for patients with PE and was randomly selected among all the eligible calendar dates (i.e., following a prescription for a TKI and a diagnosis for CML) for the PE-free controls. Patients were followed for 6 months after the index date. PE and PE-free patients were matched on a 1:1 ratio using propensity score matching. PE-related (i.e., medical claims with a PE diagnosis) resource utilization (inpatient [IP], outpatient [OP], emergency room [ER] and other medical visits) and costs were estimated for PE patients. To estimate the overall incremental impact of PE, all-cause and CML-related (i.e., medical services associated with a diagnosis code of 205.1×) resource utilization and costs were compared between PE and PE-free controls. All costs were reported in 2009 US dollars. Incidence rate ratios (IRR) for healthcare resource utilization were estimated by Poisson regression models. Incremental costs were estimated using generalized linear models or two-part models. Multivariate regression models controlled for age, gender, treatment duration with tyrosine kinase inhibitor, other chemotherapy, bone marrow or stem cell transplant, CML complexity, Charlson comorbidity index, adverse events, and comorbidities. Results: The study included 179 matched pairs. On average, patients were 63.4 and 63.8 years old with 41% and 49% of the population being female for PE-free and PE patients, respectively. During the study period, PE patients were estimated to have an average of 0.62 PE-related IP admissions, 8.43 IP days, 0.06 ER admissions, and 1.76 OP visits. Compared to PE-free patients, PE patients had more than 7 times as many IP days (IRR=7.23; p<.01), almost 3 times as many IP admissions (IRR=2.96; p<0.01), almost twice as many OP visits (IRR=1.98; p<.01) and ER visits (IRR=1.77; p<.01). Especially, PE patients had almost 10 times as many CML-related IP days (IRR=9.91; p<.01), more than 3 times as many CML-related IP admissions (IRR=3.95; p<0.01), twice as many CML-related OP visits (IRR=2.16; p<.01), and almost 6 times as many CML-related ER visits (IRR=5.60; p<.01). On average, PE-related medical costs were estimated at $11,015 per patient, where 84.2% was accounted for by IP costs. Total costs for all-cause related medical services were estimated at $37,566 for PE patients and $14,841 for PE-free patients. After adjusting for confounding factors, the incremental total medical cost of PE patients was $22,299 (p<.01), mostly due to the incremental OP cost ($12,931; p<.01) and IP cost ($8,737; p<.01). Similarly, PE patients incurred higher CML-related medical costs compared to PE-free patients, with a $15,859 (p<.01) incremental cost. Conclusion: Compared to PE-free patients, PE patients have a substantial economic burden with higher PE-related costs, CML-related costs, and total medical cost. Disclosures: Wu: Analysis Group, Inc.: Employment. Guerin:Analysis Group, Inc.: Employment. Bollu:Novartis: Employment, Equity Ownership. Williams:Novartis: Employment, Equity Ownership. Guo:Novartis Pharmaceuticals Corporation: Employment, Equity Ownership. Ponce de Leon Barido:Analysis Group, Inc.: Employment. Yu:Analysis Group, Inc.: Employment.

scholarly journals Greater Red Blood Cell Transfusion Burden Is Associated with More Healthcare Resource Utilization in Patients with Beta-Thalassemia

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 5790-5790
Author(s):  
Chao-Hsiun Tang ◽  
Wesley Furnback ◽  
Bruce C.M. Wang ◽  
Jackson Tang ◽  
Vicky Wei-Hsuen Huang ◽  
...  
Keyword(s):  
Research Funding ◽  
Index Date ◽  
Hospital Admissions ◽  
Healthcare Resource ◽  
Healthcare Resource Utilization ◽  
Red Blood Cell Transfusion ◽  
Beta Thalassemia ◽  
Outpatient Visits ◽  
Equity Ownership

Introduction: Previous studies have examined the total healthcare resource utilization (HCRU) of patients with beta-thalassemia in relation to the general population. However, limited studies have examined the impact of red blood cell transfusion (RBCT) burden on broad aspects of HCRU beyond transfusion costs among patients with beta-thalassemia. Methods: Patients with beta-thalassemia in Taiwan's National Health Insurance Research Database (NHIRD) in 2016 were identified (International Classification of Diseases, Tenth Revision, Clinical Modification [ICD-10-CM] of D56.1). The index date was the first medical claim in the database after 2001. Identified patients were followed from the index date until the end of the study period (December 31, 2016). During the follow-up period, RBCT units and HCRU (all-cause and thalassemia-related) were measured. Thalassemia-related HCRU was defined as any HCRU claim accompanied by a thalassemia or beta-thalassemia diagnosis code. To control for the different lengths of follow-up between patients, both RBCT units and HCRU were reported as the average per 12 weeks over the entire follow-up period. Patients were categorized into 4 cohorts based on the average number of RBCT units received per 12 weeks during follow-up: 0 RBCT units; > 0 to < 6 RBCT units; ≥ 6 to < 12 RBCT units; or ≥ 12 RBCT units. HCRU outcomes of interest were hospital admissions, hospitalized days, outpatient visits, and emergency room (ER) visits. Descriptive statistics were computed to describe HCRU observed in each cohort. Results: A total of 2,984 patients with beta-thalassemia were included in the analysis, with a mean follow-up of 6.87 years. Mean age at index was 37.8 (standard deviation 23.7) years, and 1,903 (63.8%) patients were female. A total of 1,616 (54.2%) patients did not receive RBCT units during the follow-up period. Of the remaining 1,368 patients, 1,112 (81.3%) received > 0 to < 6 RBCT units, 112 (8.2%) received ≥ 6 to < 12 RBCT units, and 144 (10.5%) received ≥ 12 RBCT units per 12 weeks during follow-up. Mean all-cause and thalassemia-related HCRU was higher for transfused patients than for non-transfused patients across all HCRU categories. Thalassemia-related hospital admissions, hospitalized days, and outpatient days all increased as the transfusion burden increased. Patients in the cohort with the highest average transfusion burden (≥ 12 RBCT units per 12 weeks) had numerically greater mean thalassemia-related hospital admissions (0.5; standard error [SE] = 0.04), hospitalized days (2.5; SE = 0.21), and outpatient visits (4.9; SE = 0.41) than the other cohorts (Figure). Conclusions: Patients with beta-thalassemia and higher average transfusion burden during the follow-up period had additional HCRU compared with patients who required fewer RBCT units. These data may support physician and payer understanding of the downstream economic impact of RBCT burden in beta-thalassemia. Disclosures Tang: GSK: Consultancy; Roche: Research Funding; Pfizer: Research Funding; Janssen: Research Funding; Amgen: Research Funding. Furnback:Sanofi: Consultancy; Regeneron: Consultancy; Celgene Corporation: Consultancy; Abbott: Consultancy; Astellas: Consultancy; Pfizer: Consultancy; Eli Lilly: Consultancy; Janssen: Consultancy; Johnson & Johnson: Consultancy; Gilead: Consultancy; Novocure: Consultancy; Progentec Diagnostics: Consultancy; Becton Dickinson: Consultancy; AstraZeneca: Consultancy; Bristol-Myers Squibb: Consultancy. Wang:Gilead Sciences: Consultancy, Equity Ownership; Celgene Corporation: Consultancy, Equity Ownership; Regeneron Pharmaceuticals: Consultancy, Equity Ownership; Novocure: Consultancy; Pfizer: Consultancy; Eli Lilly: Consultancy; Johnson & Johnson: Consultancy; Astellas: Consultancy; Amgen, Vertex Pharma, Illumina, Biogen, Alexion Pharma, Incyte, Biomarin Pharma, Seattle Genetics, Sarepta Therapeutics, Array Biopharma, Ionis Pharma, Sage Therapeutics, Mylan NV, Neurocrine Biosciences, Bio Techne Corp, Jazz Pharma, Alnylam Pharma, Blue: Equity Ownership. Tang:Asclepius Analytics: Employment. Huang:Celgene Corporation: Employment. Tang:Celgene Corporation: Employment, Equity Ownership. Musallam:Celgene Corporation: Consultancy.

Treatment adherence, healthcare resource utilization, and costs in patients with gastrointestinal neuroendocrine tumors (GI NETs).

2018 ◽  
Vol 36 (4_suppl) ◽  
pp. 337-337 ◽  
Author(s):  
Beilei Cai ◽  
Michael Broder ◽  
Eunice Chang ◽  
Jessie Tingjian Yan ◽  
Al Bowen Benson
Keyword(s):  
Treatment Adherence ◽  
Resource Utilization ◽  
Index Date ◽  
Healthcare Resource ◽  
Healthcare Resource Utilization ◽  
First Year ◽  
Office Visits ◽  
Second Year ◽  
Pharmacologic Treatments

337 Background: This study aimed to assess treatment adherence, healthcare resource utilization and costs in patients with GI NETs who initiated pharmacologic treatments. Methods: In 2 US commercial claims databases, patients ≥18 years with ≥1 inpatient or ≥2 outpatient claims for GI NETs were identified. The first claim for pharmacologic treatments (e.g. somatostatin analogues [SSAs], cytotoxic chemotherapy [CC], targeted therapy) following diagnosis and between 7/1/2009 and 12/31/2013 was defined as the index date. A 6-month clean period before index date and a 6-month pre- and a ≥1-year post-index enrollment were required. Proportion of days covered (PDC) was calculated during the follow up period. Outcomes were reported separately for patients with 1 and 2 years of post-index enrollment. Descriptive statistics including means, standard deviations, and frequencies and percentages for continuous and categorical data, respectively, were reported. Results: Of 1,322 patients with 1-year of follow-up, 847 initiated SSAs, 397 CC, 35 targeted therapies, 2 interferon, and 41 various combinations. Due to sample sizes, remaining results focus only on SSAs and CC. Mean PDC (SD) was 0.669 (0.331) for SSAs and 0.466 (0.236) for CC; SSA users had 20.5 (13.5) office visits and 0.59 (1.03) hospitalizations, CC users had 30.5 (19.8) and 0.89 (1.45) office visits and hospitalizations respectively; total annual cost for SSA-treated patients during the 1st year was $99,691 (82,423) and $134,912 (116,078) for CC. Among 685 patients with 2 years of follow-up, the annual mean costs in the second year were $8,071 and $58,944 lower than the first year for SSAs and CC, respectively. Conclusions: In this descriptive non-comparative study, we reported the resource utilization and costs associated with different treatment therapies. Overall, costs were higher in the first year than in the second year. This 2-database study offers new information on the magnitude and trends in the cost of pharmacologically treated GI NETs. Additional research with a larger sample size would be needed to better understand real-world utilization and costs for GI NET patients treated with different pharmacological therapies.

Evaluation of Healthcare Resource Utilization and Costs Among Patients with Chronic Myeloid Leukemia after Disease Progression

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3573-3573
Author(s):  
Elias Jabbour ◽  
Jay Lin ◽  
Lisa R Siegartel ◽  
Melissa Lingohr-Smith ◽  
Brandy Menges ◽  
...  
Keyword(s):  
Disease Progression ◽  
Resource Utilization ◽  
Healthcare Costs ◽  
Myeloid Leukemia ◽  
Index Date ◽  
Healthcare Resource ◽  
Baseline Period ◽  
Healthcare Resource Utilization ◽  
Outpatient Prescription

Abstract Introduction: Tyrosine kinase inhibitors (TKIs) have been shown to be efficacious for the treatment of chronic myeloid leukemia (CML). However, resistance, lack of response, or intolerance may occur, resulting in disease progression. There is a paucity of evidence quantifying the real-world healthcare burden of patients with CML progression. Thus, the objective of this study was to evaluate the economic consequences of patients with CML progression using a real-world database analysis. Methods: Patients (≥18 years of age) with at least 1 inpatient or ≥2 outpatient (≥30 days apart) diagnoses of CML were identified from the MarketScan Commercial and Medicare healthcare claims databases between January 1, 2007 and June 30, 2015. CML patients were grouped into 2 study cohorts, those with evidence of disease progression and those without. Patients with CML progression were identified by the presence of claims for acute myeloid leukemia (AML)-like or acute lymphoblastic leukemia (ALL)-like chemotherapy treatments, based on the guidelines of the National Comprehensive Cancer Network (version 1.2016), or a hematopoietic stem cell transplant (HSCT). For patients with progression, the first date of such a claim was defined as the index. For patients without evidence of progression, a random date after the first CML diagnosis was identified as the index date. In order to increase accuracy of detecting progression, patients with other cancers, including AML and ALL, documented prior to the first recorded diagnosis of CML were excluded from the study. Patients were required to have continuous medical and prescription insurance coverage during the 12 months prior to the index date (baseline period). Demographics and clinical characteristics were evaluated during the baseline period. Healthcare resource utilization, including hospitalizations, outpatient medical services, and outpatient prescription drug usage, and the associated costs were captured during the baseline period and a variable follow-up period, lasting ≥1 day and up to 1 year, and compared among study cohorts. All costs were inflation adjusted to 2015 cost level. Generalized linear models (GLMs) were used to further compare the incremental costs of CML patients with vs. without progression while adjusting for various factors. Results: Of the overall identified CML study population, 587 (7%) experienced disease progression and 7,504 did not. A greater percentage of male than female patients had evidence of disease progression and CML patients with progression had more comorbidities, as measured by Charlson Comorbidity Index, than those without progression (Table 1). Approximately 31% of CML patients with progression were treated with HSCT at the index date, while 69% were treated with chemotherapy (Table 1). During the baseline period, mean total healthcare costs, including costs for hospitalizations, outpatient medical service costs, and outpatient prescription costs were significantly greater for CML patients with vs. without progression ($143,778 vs. $53,143, p<0.001). During the follow-up, mean total annual healthcare costs, costs for hospitalizations, and outpatient medical service costs, were substantially greater for patients with vs. without progression; however, costs for outpatient prescription drugs were less (Table 2). When patient characteristics were taken into consideration with a GLM, the incremental costs for CML patients with vs. without progression were $270,925 (CI: $235,290, $311,958, p<0.001); when an additional GLM model was used, in which the baseline healthcare costs of CML patients were added as a covariate, the incremental costs for patients with vs. without progression were $136,308 (CI: $119,223, $155,841, p<0.001). Conclusions: The healthcare burden, in terms of healthcare resource utilization and costs, of patients with CML progression is substantial. Healthcare providers and payers need to consider various strategies to minimize the rate of CML progression. Disclosures Elias: Bristol-Myers Squibb: Consultancy. Lin:Bristol-Myers Squibb: Consultancy; Novosys Health: Employment. Siegartel:Bristol-Myers Squibb: Employment. Lingohr-Smith:Novosys Health: Employment. Menges:Novosys Health: Employment. Makenbaeva:Bristol-Myers Squibb: Employment, Equity Ownership.

Comparison of Stroke- and Bleed-Specific Healthcare Resource Utilization and Costs Among Patients with Non-Valvular Atrial Fibrillation, Newly Treated with Dabigatran or Warfarin

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 532-532 ◽  
Author(s):  
Xue Song ◽  
Pranav Gandhi ◽  
Adrienne M Gilligan ◽  
Prachi Arora ◽  
Caroline Henriques ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Resource Utilization ◽  
Real World ◽  
Index Date ◽  
Healthcare Resource ◽  
Healthcare Resource Utilization ◽  
Administrative Claims ◽  
Newly Diagnosed ◽  
Outpatient Visits ◽  
Hospitalization Costs

Abstract INTRODUCTION: In the pivotal Randomized Evaluation of Long-Term Anticoagulant Therapy (RE-LY) clinical trial, dabigatran was associated with lower rates of stroke and systemic embolism compared to adjusted-dose warfarin. However, real-world evidence comparing stroke- and bleed-specific healthcare resource utilization (HCRU), costs, length of stay (LOS) per hospitalization and readmissions in non-valvular atrial fibrillation (NVAF) patients newly treated with dabigatran or warfarin is limited. METHODS: Using a nationwide administrative claims database in the US, a retrospective matched-cohort of newly diagnosed NVAF patients aged ≥18 years treated with dabigatran or warfarin in 01/01/2011-12/31/2013 was evaluated. Index date was the first dabigatran or warfarin claim date. All patients had data for 12 months before the index date and a maximum follow-up of 12 months or until discontinuation or switch, disenrollment, end of study period, or inpatient death. Propensity scores were used to match dabigatran and warfarin users 1:1. Stroke or bleed-specific HCRU and costs were defined as hospitalizations with stroke or bleed as the primary discharge diagnosis and outpatient claims with stroke or bleed diagnosis in any position. Percentage and incidence rate (IR) of first stroke or bleed per 100 person-years and associated 95% confidence interval (CI) were reported. Stroke- and bleed-specific per-patient-per-year (PPPY) HCRU and costs were analyzed for all patients. Among those with a hospitalization for stroke or bleed, LOS and readmissions of patients who were admitted and discharged home were reported. Cox regression examined the risk of stroke or bleed and logistic regression assessed the impact on stroke- and bleed-specific readmission between dabigatran and warfarin users. RESULTS: A total of 18,980 dabigatran patients were matched to corresponding warfarin patients. Of these, the percentage of dabigatran patients with stroke (0.5%, n=87 vs 0.8%, n=142; P<0.001) or bleed (1.2%, n=227 vs 1.6%, n=294; P=0.003) was significantly lower than warfarin patients. The IR (95% CI) of stroke [0.65 (0.51-0.78) vs. 1.06 (0.89-1.24)] and bleed [1.69 (1.47-1.91) vs. 2.20 (1.95-2.46)] was also lower in dabigatran patients compared to warfarin patients. After adjustment, compared to warfarin patients, the hazard ratio (HR) of having a first stroke or bleed was significantly lower in dabigatran patients [(HR = 0.60 (95% CI = 0.46-0.79)) and (HR = 0.76 (95% CI = 0.64-0.91)), respectively]. Among all NVAF patients, dabigatran users had a significantly lower number of stroke-specific hospitalizations (0.007 vs 0.013, P<0.001) and outpatient visits (0.304 vs 0.450, P<0.001) compared to warfarin patients. Similarly, dabigatran users had significantly lower bleed-specific hospitalizations (0.024 vs 0.035, P=0.008) and outpatient visits (0.820 vs 0.920, P=0.018). Dabigatran users had significantly lower stroke-specific outpatient visit costs ($84 vs $144, P=0.01) and bleed-specific hospitalization costs ($360 vs $612, P=0.007). There was no significant difference observed in stroke-specific hospitalization costs and bleed-specific outpatient costs between the two groups. Among dabigatran patients with a stroke or bleed, average LOS was significantly lower compared to warfarin patients [(4.74 days vs 5.70 days) and (4.30 days vs 4.60 days), both P<0.001]. Stroke-related 30-day readmissions did not significantly differ between dabigatran and warfarin patients (0.4%, n=14 vs 0.6%, n=25, P=0.078). However, the odds of stroke-related readmission were significantly lower in dabigatran compared to warfarin users [Odds Ratio (OR) = 0.59 (95% CI = 0.51-0.69)]. Bleed-related 30-day readmissions were significantly lower for dabigatran than warfarin users (0.8%, n=30 vs. 1.5%, n=59, P=0.002); similar results were found after adjustment [OR=0.54 (95% CI = 0.47-0.63)]. CONCLUSION: Using real-world data of newly diagnosed NVAF patients, dabigatran users had a lower risk of stroke or bleed than warfarin users. Dabigatran users had lower stroke- and bleed-specific HCRU (including LOS per hospitalization), and lower odds of stroke- and bleed-specific readmissions compared to warfarin users. Also, costs associated with bleed-specific hospitalizations and stroke-specific outpatient visits were significantly lower for dabigatran users compared to warfarin users. Disclosures Song: Truven Health Analytics: Employment; Amgen: Other: This study was funded by Amgen.. Gilligan:Truven Health Analytics, an IBM Company: Employment. Sander:Boehringer Ingelheim: Employment. Smith:Truven Health Analytics: Employment.

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