Literature DB >> 23894082

Health care costs for state transition models in prostate cancer.

Murray D Krahn1,2,3,4,5,6, Karen E Bremner4,5, Brandon Zagorski3,6, Shabbir M H Alibhai1,3,4,5,7, Wendong Chen4, George Tomlinson1,3,4,5, Nicholas Mitsakakis4, Gary Naglie1,3,4,7.   

Abstract

OBJECTIVE: To obtain estimates of direct health care costs for prostate cancer (PC) from diagnosis to death to inform state transition models.
METHODS: A stratified random sample of PC patients residing in 3 geographically diverse regions of Ontario, Canada, and diagnosed in 1993-1994, 1997-1998, and 2001-2002, was selected from the Ontario Cancer Registry. We retrieved patients' pathology reports to identify referring physicians and contacted surviving patients and next of kin of deceased patients for informed consent. We reviewed clinic charts to obtain data required to allocate each patient's observation time to 11 PC-specific health states. We linked these data to health care administrative databases to calculate resource use and costs (Canadian dollars, 2008) per health state. A multivariable mixed-effects model determined predictors of costs.
RESULTS: The final sample numbered 829 patients. In the regression model, total direct costs increased with age, comorbidity, and Gleason score (all P < 0.0001). Radical prostatectomy was the most costly primary treatment health state ($4676 per 100 days). Radical prostatectomy, hormone-refractory metastatic disease ($6398 per 100 days), and final (predeath) ($13,739 per 100 days) health states were significantly more costly (P < 0.05) than nontreated nonmetastatic PC ($3440 per 100 days), whereas the postprostatectomy ($732 per 100 days) and postradiation ($1556 per 100 days) states cost significantly less (P < 0.0001).
CONCLUSIONS: This study used an innovative but labor-intensive approach linking chart and administrative data to estimate health care costs. Researchers should weigh the potential benefits of this method against what is involved in implementation. Modifications in methodology may achieve similar gains with less outlay in individual studies. However, we believe that this is a promising approach for researchers wishing to advance the quality of costing in state transition modeling.

Entities:  

Keywords:  costs; economic evaluation; prostate cancer

Mesh:

Year:  2013        PMID: 23894082     DOI: 10.1177/0272989X13493970

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  9 in total

Review 1.  Treatments for Metastatic Prostate Cancer (mPC): A Review of Costing Evidence.

Authors:  Jan Norum; Carsten Nieder
Journal:  Pharmacoeconomics       Date:  2017-12       Impact factor: 4.981

2.  The cost of treatment and its related complications for men who receive surgery or radiation therapy for prostate cancer.

Authors:  Alaina Garbens; Christopher J D Wallis; Rano Matta; Ronald Kodama; Sender Herschorn; Steven Narod; Robert K Nam
Journal:  Can Urol Assoc J       Date:  2018-12-03       Impact factor: 1.862

Review 3.  Robotic Surgical System for Radical Prostatectomy: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2017-07-07

4.  Multi-gene Pharmacogenomic Testing That Includes Decision-Support Tools to Guide Medication Selection for Major Depression: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2021-08-12

Review 5.  Minimal Residual Disease Evaluation in Childhood Acute Lymphoblastic Leukemia: An Economic Analysis.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2016-03-08

Review 6.  Prostate-Specific Antigen (PSA)-Based Population Screening for Prostate Cancer: An Economic Analysis.

Authors:  A Tawfik
Journal:  Ont Health Technol Assess Ser       Date:  2015-05-01

Review 7.  Prolaris Cell Cycle Progression Test for Localized Prostate Cancer: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2017-05-01

8.  Cost-effectiveness analyses and cost analyses in castration-resistant prostate cancer: A systematic review.

Authors:  Thomas Grochtdreis; Hans-Helmut König; Alexander Dobruschkin; Gunhild von Amsberg; Judith Dams
Journal:  PLoS One       Date:  2018-12-05       Impact factor: 3.240

9.  Global incidence of prostate cancer in developing and developed countries with changing age structures.

Authors:  Jeremy Y C Teoh; Hoyee W Hirai; Jason M W Ho; Felix C H Chan; Kelvin K F Tsoi; Chi Fai Ng
Journal:  PLoS One       Date:  2019-10-24       Impact factor: 3.240

  9 in total

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