Literature DB >> 27757918

A Cost-Utility Analysis of Prostate Cancer Screening in Australia.

Andrew Keller1,2, Christian Gericke3,4, Jennifer A Whitty3, John Yaxley5, Boon Kua5, Geoff Coughlin5, Troy Gianduzzo3,5.   

Abstract

BACKGROUND AND OBJECTIVES: The Göteborg randomised population-based prostate cancer screening trial demonstrated that prostate-specific antigen (PSA)-based screening reduces prostate cancer deaths compared with an age-matched control group. Utilising the prostate cancer detection rates from this study, we investigated the clinical and cost effectiveness of a similar PSA-based screening strategy for an Australian population of men aged 50-69 years.
METHODS: A decision model that incorporated Markov processes was developed from a health system perspective. The base-case scenario compared a population-based screening programme with current opportunistic screening practices. Costs, utility values, treatment patterns and background mortality rates were derived from Australian data. All costs were adjusted to reflect July 2015 Australian dollars (A$). An alternative scenario compared systematic with opportunistic screening but with optimisation of active surveillance (AS) uptake in both groups. A discount rate of 5 % for costs and benefits was utilised. Univariate and probabilistic sensitivity analyses were performed to assess the effect of variable uncertainty on model outcomes.
RESULTS: Our model very closely replicated the number of deaths from both prostate cancer and background mortality in the Göteborg study. The incremental cost per quality-adjusted life-year (QALY) for PSA screening was A$147,528. However, for years of life gained (LYGs), PSA-based screening (A$45,890/LYG) appeared more favourable. Our alternative scenario with optimised AS improved cost utility to A$45,881/QALY, with screening becoming cost effective at a 92 % AS uptake rate. Both modelled scenarios were most sensitive to the utility of patients before and after intervention, and the discount rate used.
CONCLUSION: PSA-based screening is not cost effective compared with Australia's assumed willingness-to-pay threshold of A$50,000/QALY. It appears more cost effective if LYGs are used as the relevant outcome, and is more cost effective than the established Australian breast cancer screening programme on this basis. Optimised utilisation of AS increases the cost effectiveness of prostate cancer screening dramatically.

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Year:  2017        PMID: 27757918     DOI: 10.1007/s40258-016-0278-6

Source DB:  PubMed          Journal:  Appl Health Econ Health Policy        ISSN: 1175-5652            Impact factor:   2.561


  5 in total

1.  Cost-effectiveness comparison between neoadjuvant chemohormonal therapy and extended pelvic lymph node dissection in high-risk prostate cancer patients treated with radical prostatectomy: a multi-institutional analysis.

Authors:  Teppei Matsumoto; Shingo Hatakeyama; Teppei Ookubo; Koji Mitsuzuka; Shintaro Narita; Takamitsu Inoue; Shinichi Yamashita; Takuma Narita; Takuya Koie; Sadafumi Kawamura; Tatsuo Tochigi; Norihiko Tsuchiya; Tomonori Habuchi; Yoichi Arai; Chikara Ohyama
Journal:  Med Oncol       Date:  2017-10-31       Impact factor: 3.064

2.  China county-based prostate specific antigen screening for prostate cancer and a cost-effective analysis.

Authors:  Zhiguo Zhang; Guoshu Liang; Peng Zhang; Zhongqi Zhao; Zhongnan He; Fengzhen Luo; Zhenqing Chen; Zongke Yang; Zhijie Zhang; Tao Xia; Xin Liu; Yong Zhang; Wei Ye
Journal:  Transl Androl Urol       Date:  2021-10

Review 3.  Cost-effectiveness of prostate cancer screening: a systematic review of decision-analytical models.

Authors:  Sabina Sanghera; Joanna Coast; Richard M Martin; Jenny L Donovan; Syed Mohiuddin
Journal:  BMC Cancer       Date:  2018-01-18       Impact factor: 4.430

Review 4.  Assessing the value of screening tools: reviewing the challenges and opportunities of cost-effectiveness analysis.

Authors:  Nicolas Iragorri; Eldon Spackman
Journal:  Public Health Rev       Date:  2018-07-13

5.  Australian ultrasound-guided biopsy trends: a 17-year analysis of national data.

Authors:  Lachlan A N Gordon; Jonathan Kam; Daniel Gilbourd; Hodo Haxhimolla
Journal:  Prostate Int       Date:  2019-10-21
  5 in total

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