scholarly journals Evaluation of machine learning methodology for the prediction of healthcare resource utilization and healthcare costs in patients with critical limb ischemia—is preventive and personalized approach on the horizon?

2020 ◽  
Vol 11 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Jeffrey S. Berger ◽  
Lloyd Haskell ◽  
Windsor Ting ◽  
Fedor Lurie ◽  
Shun-Chiao Chang ◽  
...  
2021 ◽  
Vol 104 (12) ◽  
pp. 1953-1958

Objective: Health care costs (HCCs) are a significant concern in developing countries. The authors investigated the healthcare resource utilization (HCRU) and HCCs for patients with COVID-19 based on disease severity and infection site. Materials and Methods: The authors reviewed data from the electronic medical records of COVID-19 patients admitted to the present study hospital between January 2020 and April 2020. The authors used comorbidities and patient characteristics as covariates. Analyses were conducted using simple linear regression and generalized linear regression models with a log-link and gamma distribution. Results: Two hundred two patients had confirmed SARS-CoV-2 infection. Total costs per patient were 6,626 USD (756 to 45,586). Personal protection equipment costs were the most significant cost for COVID-19 patients with a mean of 3,778 USD. The mean treatment cost per patient was 326 USD. Patients with severe symptoms and lower respiratory tract infection (LRI) had a higher cost and resource utilization value before and after adjusting for covariates. Conclusion: COVID-19 patients with severe symptoms and LRI had higher HCRU. Length of stay, severity of symptoms, and LRI were associated with higher cost of treatment. Keywords: SARS-CoV-2; COVID-19; Healthcare resource utilization; Healthcare costs; Thailand


10.36469/9889 ◽  
2014 ◽  
Vol 2 (1) ◽  
pp. 63-74
Author(s):  
Christopher M. Blanchette ◽  
Şerban R. Iorga ◽  
Aylin Altan ◽  
Jerry G. Seare ◽  
Ying Fan ◽  
...  

Background: Autosomal dominant polycystic kidney disease (ADPKD), a hereditary nephropathy, eventually leads to end-stage renal disease (ESRD), typically by mid-life. Objectives: The objective of this study was to assess real-world healthcare resource utilization and cost among commercially insured (COM) and Medicare Advantage (MAPD) ADPKD patients in addition to the cost profile by chronic kidney disease (CKD) stage. Methods: Patients diagnosed with ADPKD (two or more claims) with ≥30 days of continuous medical and pharmacy benefits and no evidence of autosomal recessive polycystic kidney disease were selected (Optum Research Database and Impact National Benchmarking Database: 1/1/06–8/31/12). Plan and patient paid healthcare costs and resource utilization per patient per month (PPPM) were described in total and by insurance type. CKD stage was established based on serum creatinine laboratory values or dialysis-related codes. Adjusted, CKD stage-specific costs were predicted for 4 years using regression models. Results: Of the 36,253,096 patients in the databases (1/1/06-8/31/12), 5,051 had evidence of ADPKD. Following exclusion criteria, 4,356 COM and 468 MAPD ADPKD patients remained. Total healthcare resource utilization and costs were high, and costs increased substantially from CKD stage 1–5. PPPM healthcare costs were 37% for ADPKD management and 52% for dialysis services. Predicted 4-year healthcare costs by CKD stage were $40,164 (stage 1), $33,397 (stage 2), $42,686 (stage 3), $148,402 (stage 4), and $207,548 (stage 5). Conclusions: Healthcare resource utilization and costs associated with ADPKD were substantial, irrespective of payer type, and primarily driven by CKD stage. Of the total healthcare costs, 88% were ADPKD- and dialysis-related. Most impactful was the spike in predicted cost when patients progressed from CKD stage 3 to stage 4 (by 348%) after multivariate adjustment. These stage 4–associated costs are primarily due to ultimate progression into stage 5 and ESRD within the 4-year time frame.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e19408-e19408
Author(s):  
Nilanjan Ghosh ◽  
Bruno Emond ◽  
Marie-Hélène Lafeuille ◽  
Aurélie Côté-Sergent ◽  
Patrick Lefebvre ◽  
...  

e19408 Background: Ibrutinib is a targeted oral therapy indicated for MCL patients who received ≥1 prior line of therapy (LOT) (conditional approval on 11/13/2013 in the US). This study compared healthcare resource utilization (HRU) and costs of R/R MCL patients treated with ibrutinib ± rituximab (I±R) or CIT in a US-managed care population. Methods: Optum Clinformatics Extended DataMart De-Identified Databases (05/13/2013-6/30/2019) were used to identify adults with MCL receiving I±R or CIT (index date) following ≥1 prior LOT. Patients’ baseline characteristics were balanced using inverse probability of treatment weighting (IPTW). Monthly HRU and costs (plan paid amount) were evaluated during the first Oncology Care Model (OCM) episode (i.e., first 6 months) post-index and during the observed index I±R or CIT LOT (index LOT); and compared using rate ratios (RRs) and mean monthly cost differences (MMCDs), respectively. Results: A total of 146 I±R and 158 CIT patients were identified. Given the small sample size and to ensure outliers were not driving the results, 2 patients with total healthcare costs ≤0.5th and ≥99.5th percentile were excluded from each cohort. After IPTW, 149 and 151 patients were included in the weighted I±R and CIT cohorts, respectively (mean length of index LOT: 12.0 vs 11.0 months). During the first OCM episode and during the index LOT, the I±R cohort had significantly fewer monthly days with outpatient services compared to the CIT cohort (OCM: RR= 0.63, P<0.001; index LOT: RR= 0.73, P=0.004). The I±R cohort incurred significantly higher monthly pharmacy costs that were offset by lower monthly medical costs, yielding a monthly total cost reduction of $9,435 (p<0.001) during the first OCM episode and $4,628 (p=0.010) during the index LOT, compared to the CIT cohort (Table). Conclusions: In this study, patients with R/R MCL treated with ibrutinib ± rituximab had significantly fewer days with outpatient services and lower total healthcare costs per month versus those treated with CIT during the first OCM episode and the index LOT. [Table: see text]


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4734-4734
Author(s):  
Alok A. Khorana ◽  
Keith R. McCrae ◽  
Dejan Milentijevic ◽  
Jonathan Fortier ◽  
François Laliberté ◽  
...  

Abstract Introduction: Patients with cancer are not only at a high risk for developing primary but also recurrent venous thromboembolism (VTE). These events lead to increased burden of cancer management and healthcare costs. It was estimated that all-cause health care costs for cancer patients with VTE were $30,538/patient higher than in those without VTE (Khorana, 2013). To our knowledge, very little information exists on cost of VTE recurrence among cancer patients. The objective of this study was to analyze resource utilization and costs of patients with cancer experiencing a VTE recurrence using a large claims database. Methods: Medical and pharmacy claims from the Humana Database between 1/1/2013 and 05/31/2015 were analyzed. Newly diagnosed cancer patients with a first VTE diagnosis occurring after their first cancer diagnosis and with ≥1 dispensing of an anticoagulant agent within 7 days after their VTE diagnosis, were selected. Baseline characteristics were evaluated during the 6 month period prior to the index VTE. VTE recurrences were defined as hospitalizations with a primary diagnosis of VTE. Patients were classified into two groups: patients who experienced a VTE recurrence and patients who did not. Resource utilization and costs were evaluated for the entire follow up period, starting with the initiation of the anticoagulant therapy until whichever was earlier, end of eligibility or end of data. Healthcare resource utilization evaluated included number of hospitalizations, hospitalization days, emergency room (ER) visits, and outpatient visits. All-cause and VTE-related healthcare resource utilization was evaluated. Comparisons between patients with a VTE recurrence and patients without a VTE recurrence were performed using rate ratios (RR) and statistical differences between groups as well as 95% confidence intervals [95% CI] were calculated using Poisson regression models. All-cause and VTE-related healthcare costs were evaluated in per-patient-per-year (PPPY) and compared using mean cost difference. Results: A total of 2,428 newly diagnosed cancer patients who developed VTE and were treated with anticoagulants were identified. Of these, 413 (17.1%) experienced recurrent VTE during the follow up period. Patients who developed recurrent VTE and those who did not were similar in terms of age, gender, race, and region. No statistically significant differences between groups were observed in Charlson comorbidity index or in selected comorbidities during the 6 month baseline period. However, more patients with recurrent VTE recurrence had their index VTE documented during a hospitalization (61.3% vs. 55.4%, p=0.03). Patients with a VTE recurrence had significantly more ER and outpatient visits at baseline compared to those without recurrence, but no statistically significant difference was observed in baseline total healthcare costs ($29,352 vs. $27,955, p=0.44, respectively). The mean follow-up was similar between groups: 9.6 months for patients experiencing a VTE recurrence and 9.3 months for patients without a VTE recurrence (p=0.4059). Patients with a VTE recurrence had higher all-cause resource utilization rates (RRs; 95% CI) compared to patients without a VTE recurrence (hospitalization [2.37; 2.23 - 2.52], hospitalization days [2.64; 2.57 - 2.72], ER visits [1.62; 1.48 - 1.76], and outpatient visits [1.26; 1.24 - 1.28]). The rates of VTE-related hospitalization and VTE-related hospitalization days were close to $30,000 higher in patients with a VTE recurrence (Figure 1). The all-cause healthcare costs were $84,708 PPPY in patients with a VTE recurrence compared to $44,903 in patients without a VTE recurrence. The difference was mainly explained by lower VTE-related hospitalization costs (Figure 2). Conclusion: This real-world claims analysis showed that cancer patients with recurrent VTE consume significantly more healthcare resources. Total healthcare costs were nearly 2-fold higher in cohort with than in cohort without VTE recurrence. Close to 75% of the total cost difference was associated with VTE recurrence. VTE-related costs were ~4-fold higher in cohort with than in cohort without VTE recurrence. Reducing VTE recurrence in patients with cancer could lead to substantial healthcare cost savings. Figure 1 VTE-Related Healthcare Resource Utilization Figure 1. VTE-Related Healthcare Resource Utilization Figure 2 VTE-Related Healthcare Costs, PPPY Figure 2. VTE-Related Healthcare Costs, PPPY Disclosures Khorana: Pfizer: Consultancy, Honoraria; Bayer: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Halozyme: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Research Funding; Janssen Scientific Affairs, LLC: Consultancy, Honoraria, Research Funding; Leo: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria. McCrae:Janssen: Membership on an entity's Board of Directors or advisory committees. Milentijevic:Janssen Scientific Affairs: Employment, Equity Ownership. Fortier:Janssen Pharmaceuticals: Research Funding. Laliberté:Janssen Scientific Affairs: Research Funding. Crivera:Janssen Scientific Affairs, LLC, Raritan, New Jersey: Employment, Equity Ownership. Lefebvre:Janssen Scientific Affairs: Research Funding. Schein:Johnson & Johnson: Employment, Equity Ownership, Other: Own in excess of $10,000 of J&J stock.


Author(s):  
Chris P Pescott ◽  
Emmanuelle Boutmy ◽  
Michael Batech ◽  
Philippe Ronga ◽  
Francois-Xavier Lamy

Aim: To compare healthcare resource utilization (HRU) and healthcare costs (HC) for every-2-week (Q2W) versus weekly (Q1W) cetuximab in metastatic colorectal cancer (mCRC). Patients & methods: Patients with mCRC receiving cetuximab plus chemotherapy in a line-agnostic setting. Cohort study of patients with mCRC treated with cetuximab and chemotherapy in IBM MarketScan. Analyses were weighted by inverse probability of treatment based on propensity score. Results: HRU was numerically lower with the Q2W versus Q1W regimen (weighted mean, 8.1 vs 9.5 encounters per-patient-per-month). The weighted average of HC was $17,653 and $16,469 per-patient-per-month for the Q2W and Q1W regimens, respectively; the difference between regimens decreased when restricting to CRC-related claims. Conclusion: HRU was lower and HC were similar between the Q2W and Q1W regimens.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3573-3573
Author(s):  
Elias Jabbour ◽  
Jay Lin ◽  
Lisa R Siegartel ◽  
Melissa Lingohr-Smith ◽  
Brandy Menges ◽  
...  

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.


2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Tope Olufade ◽  
Lois Lamerato ◽  
Juan Jose Garcia Sanchez ◽  
Like Jiang ◽  
Joanna Huang ◽  
...  

Abstract Background and Aims Recent studies have shown an association between Sodium Glucose Co-Transporter 2 inhibitor (SGLT-2i) class of drugs and lower healthcare costs compared with other glucose lowering therapy, in type 2 diabetes (T2D) patients mainly as a result of reduced rates of cardiovascular and other T2D-associated outcomes. The DAPA-CKD Trial (A study to evaluate the effect of dapagliflozin on renal outcomes and CV mortality in patients with CKD) is the first SGLT-2i renal outcomes trial to test the efficacy and safety of an SGLT-2i, dapagliflozin, in patients with CKD with and without T2D. The objective of this study is to assess the healthcare resource utilization and cost in a “DAPA-CKD-like population” (eGFR 25-75ml/min/1.73m2 and UACR 200-5000mg/g) using a contemporary US healthcare system. Method Data from the Henry Ford Health System (HFHS) were used to identify persons with CKD stages 2 through 4 between 2006 and 2016 (based on eGFR labs) and patients were followed through 2018. Persons with no confirmatory eGFR &gt; 90 days from index date, death within 30 days, history of renal transplant, and evidence of renal replacement therapy, or progression to CKD stage 5 during the baseline period (6 months pre or post index date) were excluded. Inpatient admissions, inpatient days, emergency department encounters, and ambulatory care encounters with primary care, specialty care and overall were assessed. Cumulative utilization was evaluated for all patients and evaluation based on the follow-up time. Patients were censored on date of death, last contact with the Health System or at December 31st, 2018. The utilization rates are the total observed utilization divided by follow-up time and reported as an annual rate. Billing records for all care with HFHS were used to estimate costs. Results 6,557 patients (mean age 62.9 years, 46.2% male) met the eligibility criteria and are included in the study cohort. The population was stratified by UACR (0-&lt;30, 30–199, 200–5,000mg/g). The DAPA-CKD-like population (200-5000mg/g) was associated with significantly higher annualized per-patient healthcare costs, $39,222/yr (UACR 200-5000mg/g) vs. $19,547/yr (UACR &lt;30mg/g). This increased healthcare utilization was predominantly driven by increased acute care, including hospital admissions, inpatient days and emergency department visits. Persons in the highest UACR category were almost three times more likely to have a hospital admission compared to the lowest UACR (rates 0.55/year vs. 0.20/year, respectively; see Figure below). Persons in the lowest UACR category had more primary care visits per year compared with those with highest UACR (5.81 vs 5.21). In contrast, the highest number of outpatient specialist visits per year was reported for the DAPA-CKD-like population (7.55 vs. 6.74). Conclusion This analysis of a contemporary US healthcare system demonstrated that there exists a high disease burden in the DAPA-CKD-like population as seen by the substantial increase in healthcare resource utilization and costs compared to other cohorts of patients with a lower UACR. These results highlight the need for innovative therapies to improve patient outcomes in this population.


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