Literature DB >> 8861052

Screening for melanoma by primary health care physicians: a cost-effectiveness analysis.

A Girgis1, P Clarke, R C Burton, R W Sanson-Fisher.   

Abstract

BACKGROUND AND DESIGN - Australia has the highest rates of skin cancer in the world, and the incidence is estimated to be doubling every 10 years. Despite advances in the early detection and treatment of melanoma about 800 people still die nationally of the disease each year. A possible strategy for further reducing the mortality from melanoma is an organised programme of population screening for unsuspected lesions in asymptomatic people. Arguments against introducing melanoma screening have been based on cost and the lack of reliable data on the efficacy of any screening tests. To date, however, there has been no systematic economic assessment of the cost effectiveness of melanoma screening. The purpose of this research was to determine whether screening may be potentially cost effective and, therefore, warrants further investigation. A computer was used to simulate the effects of a hypothetical melanoma screening programme that was in operation for 20 years, using cohorts of Australians aged 50 at the start of the programme. Based on this simulation, cost-effectiveness estimates of melanoma screening were calculated. RESULTS - Under the standard assumptions used in the model, and setting the sensitivity of the screening test (visual inspection of the skin) at 60%, cost effectiveness ranged from Aust$6853 per life year saved for men if screening was undertaken five yearly to $12 137 if screening was two yearly. For women, it ranged from $11 102 for five yearly screening to $20 877 for two yearly screening. CONCLUSION - The analysis suggests that a melanoma screening programme could be cost effective, particularly if five yearly screening is implemented by family practitioners for men over the age of 50.

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Year:  1996        PMID: 8861052     DOI: 10.1177/096914139600300112

Source DB:  PubMed          Journal:  J Med Screen        ISSN: 0969-1413            Impact factor:   2.136


  9 in total

1.  Visual screening for malignant melanoma: a cost-effectiveness analysis.

Authors:  Elena Losina; Rochelle P Walensky; Alan Geller; Frederick C Beddingfield; Lindsey L Wolf; Barbara A Gilchrest; Kenneth A Freedberg
Journal:  Arch Dermatol       Date:  2007-01

2.  Please, sir, pull down your socks!

Authors:  D Bonucchi; J Piattoni; F Ravera; A M Savazzi; G Cappelli; N Pimpinelli; P A Modesti
Journal:  Intern Emerg Med       Date:  2007-12       Impact factor: 3.397

3.  Melanoma survival in the United States, 1992 to 2005.

Authors:  Lori A Pollack; Jun Li; Zahava Berkowitz; Hannah K Weir; Xiao-Cheng Wu; Umed A Ajani; Donatus U Ekwueme; Chunyu Li; Brian P Pollack
Journal:  J Am Acad Dermatol       Date:  2011-11       Impact factor: 11.527

Review 4.  Calibration methods used in cancer simulation models and suggested reporting guidelines.

Authors:  Natasha K Stout; Amy B Knudsen; Chung Yin Kong; Pamela M McMahon; G Scott Gazelle
Journal:  Pharmacoeconomics       Date:  2009       Impact factor: 4.981

5.  Estimating the cost of skin cancer detection by dermatology providers in a large health care system.

Authors:  Martha Matsumoto; Aaron Secrest; Alyce Anderson; Melissa I Saul; Jonhan Ho; John M Kirkwood; Laura K Ferris
Journal:  J Am Acad Dermatol       Date:  2017-11-24       Impact factor: 11.527

6.  Screening for Melanoma in Men: a Cost-Effectiveness Analysis.

Authors:  Adewole S Adamson; Jamie A Jarmul; Michael P Pignone
Journal:  J Gen Intern Med       Date:  2019-11-08       Impact factor: 5.128

Review 7.  Survival is not the only valuable end point in melanoma screening.

Authors:  Clara Curiel-Lewandrowski; Caroline C Kim; Susan M Swetter; Suephy C Chen; Allan C Halpern; John M Kirkwood; Sancy A Leachman; Ashfaq A Marghoob; Michael E Ming; James M Grichnik
Journal:  J Invest Dermatol       Date:  2012-02-16       Impact factor: 8.551

Review 8.  Melanoma treatment costs: a systematic review of the literature, 1990-2011.

Authors:  Gery P Guy; Donatus U Ekwueme; Florence K Tangka; Lisa C Richardson
Journal:  Am J Prev Med       Date:  2012-11       Impact factor: 5.043

9.  Modelling the healthcare costs of skin cancer in South Africa.

Authors:  Louisa G Gordon; Thomas M Elliott; Caradee Y Wright; Nicola Deghaye; Willie Visser
Journal:  BMC Health Serv Res       Date:  2016-04-02       Impact factor: 2.655

  9 in total

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