550 Real World Treatment Trends for Patients TBSA ≤ 20%: Evaluating Important Shifts in Care and Budget Impact of ASCS Adoption

2020 ◽  
Vol 41 (Supplement_1) ◽  
pp. S115-S115
Author(s):  
James H Holmes ◽  
Stacey Kowal ◽  
Cheryl P Ferrufino

Abstract Introduction Treatment pathways in burn care are typically determined based on burn center (BC) and patient characteristics, although decisions may be influenced by anecdotal experience, personal preference, and hospital policies/purchasing decisions. Health economic (HE) evaluations can support improved decision-making, identifying the most cost-effective interventions for tailored care. A novel burn care model (BEACON) was developed with burn surgeons over several years and validated through numerous publications, including an assessment of the HE impacts of autologous skin cell suspension (ASCS) use for definitive burn closure. To ensure that BEACON accurately represents the current state of care, it is vital to update data that underpins model projections. This study collected real world data on practice patterns and patient outcomes for the most commonly seen burns (TBSA ≤ 20%) to update the current understanding of standard of care (SOC) costs and outcomes and to refine estimates on the impact of ASCS use in TBSA ≤ 20% patients. Methods Data was collected from a 10% sample of BCs, including: BC and patient characteristics, resource use, inpatient costs, and length of stay (LOS). NBR based inputs in BEACON were updated to reflect survey data for patients with TBSA ≤ 20%, with the ability to view data as a national aggregate sample and across BC characteristics. BEACON estimates patient and BC costs and outcomes across a spectrum of patient profiles (age, gender, inhalation injury, comorbidity status, burn depth, TBSA) and combines information on each patient profile to understand annual budget impact. Key outcomes were compared across the survey sample and published NBR trends. Using the updated BEACON, the BC budget impact of ASCS in burns TBSA ≤ 20% was assessed. Results The survey was collected from 16+ BCs, focusing on inpatient encounters in 2018. LOS was lower than NBR estimates, with some centers reporting LOS per %TBSA far below 1 d/%TBSA. Using the detailed bottom-up estimation of cost from BEACON with survey data, trends suggest total hospital costs for SOC are lower than published NBR charges given shorter LOS and updated cost and resource use assumption. Conclusions Compared to NBR 8.0, contemporary data suggests that fewer small TBSA burns are being treated in the inpatient setting; those treated have a LOS below NBR estimates. When using real world data, the impact of ASCS use in burns TBSA ≤ 20% was still calculated to be cost saving to a BC overall, given reductions in LOS and number of definitive closure procedures. Incorporating ASCS into appropriate TBSA ≤ 20% procedures can still result in a positive financial impact for BCs. Applicability of Research to Practice

2021 ◽  
Vol 161 ◽  
pp. S608
Author(s):  
I. Fornacon-Wood ◽  
H. Mistry ◽  
C. Johnson-Hart ◽  
J.P.B. O’Connor ◽  
C. Faivre-Finn ◽  
...  

2017 ◽  
Vol 33 (S1) ◽  
pp. 149-150
Author(s):  
Amr Makady ◽  
Ard van Veelen ◽  
Anthonius de Boer ◽  
Hans Hillege ◽  
Olaf Klunger ◽  
...  

INTRODUCTION:Reimbursement decisions are usually based on evidence from randomized controlled trials (RCT) with high internal validity but lower external validity. Real-World Data (RWD) may provide complimentary evidence for relative effectiveness assessments (REA's) and cost-effectiveness assessments (CEA's) of treatments. This study explores to which extent RWD is incorporated in REA's and CEA's of drugs used to treat metastatic melanoma (MM) by five Health Technology Assessment (HTA) agencies.METHODS:Dossiers for MM drugs published between 1 January 2011 and 31 December 2016 were retrieved for HTA agencies in five countries: the United Kingdom (NICE), Scotland (SMC), France (HAS), Germany (IQWiG) and the Netherlands (ZIN). A standardized data-extraction form was used to extract data on RWD mentioned in the assessment and its impact on appraisal (for example, positive, negative, neutral or unknown) for both REA and CEA.RESULTS:In total, fourty-nine dossiers were retrieved: NICE = 10, SMC = 13, IQWiG = 16, HAS = 8 and ZIN = 2. Nine dossiers (18.4 percent) included RWD in REA's for several parameters: to describe effectiveness (n = 5) and/or the safety (n = 2) of the drug, and/or the prevalence of MM (n = 4). CEA's were included in 25/49 dossiers (IQWiG and HAS did not perform CEA's). Of the twenty-five CEA's, twenty (80 percent) included RWD to extrapolate long-term effectiveness (n = 19), and/or identify costs associated with treatments (n = 7). When RWD was included in REA's (n = 9), its impact on the appraisal was negative (n = 4), neutral (n = 2), unknown (n = 1) or was not discussed in the appraisal (n = 2). When RWD was included in CEA's (n = 11), its impact on the appraisal varied between positive (n = 2), negative (n = 5) and unknown (n = 4).CONCLUSIONS:Generally, RWD is more often included in CEA's than REA's (80 percent versus 18.4 percent, respectively). When included, RWD was mostly used to describe the effectiveness of the drug (REA) or to predict long-term effectiveness (CEA). The impact of RWD on the appraisal varied greatly within both REA's and CEA's.


2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Juan Jose Garcia Sanchez ◽  
Juan Jesus Carrero ◽  
Supriya Kumar ◽  
Roberto Pecoits-Filho ◽  
Glen James ◽  
...  

Abstract Background and Aims In 2012, the Kidney Disease Improving Global Outcomes (KDIGO) guidelines recommended categorising and prognosticating chronic kidney disease (CKD) based on estimated glomerular filtration rate (eGFR) and urine albumin to creatinine ratio (UACR). Contemporary studies describing the prevalence and characteristics of patients with CKD categorised according KDIGO 2012 and how studies of new pharmacotherapies relate to these categories are scarce. One such new therapy class of key interest are the sodium glucose co-transporter 2 inhibitors (SGLT-2i), shown to delay the progression to renal failure and prevent cardiovascular/renal death in patients with CKD. We aimed to describe patient characteristics and the prevalence of CKD according to the 2012 KDIGO categories in a large real-world US cohort of patients with CKD (part A). We also describe a subset of the population according to the DAPA-CKD trial inclusion criteria (eGFR [25-75ml/min/1.73m2] and UACR [200-5000mg/g]) (part B). Method DISCOVER-CKD is an international observational study in patients with CKD. The DISCOVER-CKD retrospective US cohort of patients was extracted using real-world data from the integrated Limited Claims and Electronic Health Record data (IBM Health, Armonk, NY) and HealthVerity. Patients were aged ≥18 years, with ≥1 UACR measure. For part A, required first diagnostic code of CKD (Stages 3A, 3B, 4, 5, or ESRD) or two eGFR of <75 mL/min/1.73 m2 recorded at least 90 days apart and for part B, two measures of eGFR 25-75 mL/min/1.73 m2 recorded at least 90 days apart between 1st January 2008 and September 2018. Index date was diagnostic code or 2nd eGFR. The first UACR, recorded +/-12 months of index, was used to categorise patients. Descriptive analyses were used to summarise prevalence and patient characteristics. Results Of the overall study cohort (N=4330, 49.1% women, mean age 65.3±10.64 years), by KDIGO categories (part A): 85.7% (n=3601) had normal to mildly increased albuminuria, 11.0% (n=463) had moderately increased albuminuria and 3.3% (n=137) had severely increased albuminuria (Figure 1). 4.6% (n=193) fulfilled DAPA-CKD trial inclusion criteria (part B). In both populations, the most common comorbidities were hypertension (HTN, 73.0% for both) and type 2 diabetes (T2D, 57.6% and 56.2%, respectively). Anti-hypertensive drugs were frequently used (76.4% and 76.9%, respectively). Conclusion This study, utilising real-world data, adds to the scarcity of knowledge reporting the characteristics of patients with CKD in different eGFR and UACR strata according to the KDIGO 2012 definitions. We observed a trend in higher UACR in the group of patients with lower eGFR and report a high prevalence of T2D and HTN in the study population, demonstrating the high co-morbidity burden in patients, for whom new therapies may be beneficial.


2020 ◽  
Vol 26 (12) ◽  
pp. 1567-1575
Author(s):  
Brandon J Patterson ◽  
William L Herring ◽  
Desiree Van Oorschot ◽  
Desmond Curran ◽  
Justin Carrico ◽  
...  

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21715-e21715
Author(s):  
Sierra Luciano ◽  
Christian Haudenschild ◽  
Seth Kuranz

e21715 Background: Important questions have been raised about whether real world data (RWD) can be relied upon to support clinical and regulatory decision-making. The aims of this study were to assess overall survival (OS), time-to-treatment (TTT), follow-up time, and treatment pathways in metastatic non-small cell lung cancer (mNSCLC) patients treated with programmed cell death protein 1 inhibitors (PD-1i). Methods: Two mNSCLC cohorts were identified in a US based EMR network. To explore treatment pathways, patients had to have an advanced (stage 3/4) diagnosis of NSCLC confirmed by a tumor registry record. A line of treatment (LOT) was defined as a PD-1i or chemotherapy taken within 30 days. OS, time to treatment, and follow-up time were also calculated. In another cohort patients had to have at least one PD-1i (pembrolizumab, nivolumab, durvalumab, or atezolizmab) and an oncology treatment within 3 months of an advanced stage diagnosis. OS was calculated using Kaplan-Meier analysis and stratified by time after nivolumab approval, quarter of PD-1i initiation, and line of therapy of first PD-1i. Patient characteristics were defined by ICD, CPT, LOINC, and RxNorm terminology. Results: Median overall survival was found to be 213 days (IQR 109, 425.25). In the treatment pathways analysis, 58.3% of patients started on a non-PD-1i chemotherapy as an initial line of treatment for mNSCLC. PD-1i was the most common second line treatment and 41.4% of patients who started on a non-PD-1i therapy switched to a PD-1i as their second line therapy. Median time from advanced diagnosis to PD-1i inhibitor initiation (9.6 months (IQR 3.45, 21.45)) and median structured follow-up times from advanced diagnosis (21.87 months (IQR 11.94, 38.97)) and from inhibitor initiation (8.71 months (3.06, 17.26)) were comparable to results found in other RWD. Conclusions: Overall survival, time to treatment, and other outcomes were consistent with comparable RWD sources, (Stewart M, 2019; Sean K 2018) regardless of treatment timeframe. We demonstrated that our real world evidence based approach provides a robust method for analyzing clinical outcomes, supporting the validity of real world data to complement clinical trials and inform clinical decisions.


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