Literature DB >> 36028607

Trends and drivers of pharmaceutical expenditures from systemic anti-cancer therapy.

Lars Børty1,2,3, Rasmus F Brøndum4,5,6, Heidi S Christensen4,5,6, Charles Vesteghem4,5,6, Marianne Severinsen4,5,6, Søren P Johnsen7, Lars H Ehlers5,8, Ursula Falkmer9,5,6, Laurids Ø Poulsen9,5,6, Martin Bøgsted4,5,6.   

Abstract

Expenditures on medicine for systemic anti-cancer therapy (SACT) have seen large increases in recent years. The characterization of patients with high SACT costs is crucial to identify cost-driving factors, but little is known about the distribution of expenditures at the patient-level. We priced 260,834 registrations of SACT for 12,589 patients from 2008 to 2019 by combining them with product-level billings of EUR 142.1 million. Based on this, we defined high-cost patients as the 2.5% most expensive by accumulated SACT expenditures. We found that high-cost patients accounted for 28.8% of the total SACT expenditures and were observed across all major cancer groups except for pancreatic cancer. The risk of becoming a high-cost patient was increased for younger age groups, i.e., 18-44 and 45-64 years, for patients with BMI ≥ 25, and for patients with multiple cancer diagnoses, while no alteration of risk was observed due to comorbidities or sex. Changes in the characteristics of high-cost patients during the study period were found with an increased risk of becoming high-cost in later years for elderly patients and patients with lung cancer and a decreased risk for breast cancer patients.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Expensive patients; High utilizers; High-cost patients; Medicine expenditures; Oncology; Systemic anti-cancer therapy

Year:  2022        PMID: 36028607     DOI: 10.1007/s10198-022-01515-0

Source DB:  PubMed          Journal:  Eur J Health Econ        ISSN: 1618-7598


  9 in total

Review 1.  The burden of illness of cancer: economic cost and quality of life.

Authors:  M L Brown; J Lipscomb; C Snyder
Journal:  Annu Rev Public Health       Date:  2001       Impact factor: 21.981

2.  A modified poisson regression approach to prospective studies with binary data.

Authors:  Guangyong Zou
Journal:  Am J Epidemiol       Date:  2004-04-01       Impact factor: 4.897

3.  The "Efficacy-Effectiveness Gap": Historical Background and Current Conceptualization.

Authors:  Clementine Nordon; Helene Karcher; Rolf H H Groenwold; Mikkel Zöllner Ankarfeldt; Franz Pichler; Helene Chevrou-Severac; Michel Rossignol; Adeline Abbe; Lucien Abenhaim
Journal:  Value Health       Date:  2015-11-19       Impact factor: 5.725

4.  Health expenditure growth: looking beyond the average through decomposition of the full distribution.

Authors:  Claudine de Meijer; Owen O'Donnell; Marc Koopmanschap; Eddy van Doorslaer
Journal:  J Health Econ       Date:  2012-11-02       Impact factor: 3.883

5.  Excess Costs and Economic Burden of Obesity-Related Cancers in the United States.

Authors:  Young-Rock Hong; Jinhai Huo; Raj Desai; Michelle Cardel; Ashish A Deshmukh
Journal:  Value Health       Date:  2019-08-20       Impact factor: 5.725

6.  Appropriate Systemic Therapy Dosing for Obese Adult Patients With Cancer: ASCO Guideline Update.

Authors:  Jennifer J Griggs; Kari Bohlke; Edward P Balaban; James J Dignam; Evan T Hall; R Donald Harvey; Diane P Hecht; Kelsey A Klute; Vicki A Morrison; T May Pini; Gary L Rosner; Carolyn D Runowicz; Michelle Shayne; Alex Sparreboom; Sophia Turner; Corrine Zarwan; Gary H Lyman
Journal:  J Clin Oncol       Date:  2021-05-03       Impact factor: 44.544

7.  The changing prevalence of comorbidity across the age spectrum.

Authors:  Jay F Piccirillo; Anna Vlahiotis; Laurel B Barrett; Kellie L Flood; Edward L Spitznagel; Ewout W Steyerberg
Journal:  Crit Rev Oncol Hematol       Date:  2008-03-28       Impact factor: 6.312

8.  Data Resource Profile: The Systemic Anti-Cancer Therapy (SACT) dataset.

Authors:  Chloe J Bright; Sarah Lawton; Stephen Benson; Martine Bomb; David Dodwell; Katherine E Henson; Sean McPhail; Louise Miller; Jem Rashbass; Alice Turnbull; Rebecca Smittenaar
Journal:  Int J Epidemiol       Date:  2020-02-01       Impact factor: 7.196

9.  Parameter Heterogeneity In Breast Cancer Cost Regressions - Evidence From Five European Countries.

Authors:  Joel Smith; Helen Banks; Harry Campbell; Anne Douglas; Eilidh Fletcher; Alison McCallum; Tron Anders Moger; Mikko Peltola; Sofia Sveréus; Sarah Wild; Linda J Williams; John Forbes
Journal:  Health Econ       Date:  2015-12       Impact factor: 3.046

  9 in total

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