Literature DB >> 28034073

Cost-Effectiveness of Skin Surveillance Through a Specialized Clinic for Patients at High Risk of Melanoma.

Caroline G Watts1, Anne E Cust1, Scott W Menzies1, Graham J Mann1, Rachael L Morton1.   

Abstract

Purpose Clinical guidelines recommend that people at high risk of melanoma receive regular surveillance to improve survival through early detection. A specialized High Risk Clinic in Sydney, Australia was found to be effective for this purpose; however, wider implementation of this clinical service requires evidence of cost-effectiveness and data addressing potential overtreatment of suspicious skin lesions. Patients and Methods A decision-analytic model was built to compare the costs and benefits of specialized surveillance compared with standard care over a 10-year period, from a health system perspective. A high-risk standard care cohort was obtained using linked population data, comprising the Sax Institute's 45 and Up cohort study, linked to Medicare Benefits Schedule claims data, the cancer registry, and hospital admissions data. Benefits were measured in quality-adjusted life-years gained. Sensitivity analyses were undertaken for all model parameters. Results Specialized surveillance through the High Risk Clinic was both less expensive and more effective than standard care. The mean saving was A$6,828 (95% CI, $5,564 to $8,092) per patient, and the mean quality-adjusted life-year gain was 0.31 (95% CI, 0.27 to 0.35). The main drivers of the differences were detection of melanoma at an earlier stage resulting in less extensive treatment and a lower annual mean excision rate for suspicious lesions in specialized surveillance (0.81; 95% CI, 0.72 to 0.91) compared with standard care (2.55; 95% CI, 2.34 to 2.76). The results were robust when tested in sensitivity analyses. Conclusion Specialized surveillance was a cost-effective strategy for the management of individuals at high risk of melanoma. There were also fewer invasive procedures in specialized surveillance compared with standard care in the community.

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Year:  2016        PMID: 28034073     DOI: 10.1200/JCO.2016.68.4308

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  11 in total

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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

2.  Number needed to biopsy ratio and diagnostic accuracy for melanoma detection.

Authors:  Michael A Marchetti; Ashley Yu; Japbani Nanda; Philipp Tschandl; Harald Kittler; Ashfaq A Marghoob; Allan C Halpern; Stephen W Dusza
Journal:  J Am Acad Dermatol       Date:  2020-04-29       Impact factor: 11.527

3.  Enhancing the process for care delivery in a dermatology specialty clinic.

Authors:  Gil S Weintraub; Katherine A Su; Shadmehr Demehri; Maryam M Asgari
Journal:  J Am Acad Dermatol       Date:  2020-02-14       Impact factor: 11.527

4.  A risk prediction model for the development of subsequent primary melanoma in a population-based cohort.

Authors:  A E Cust; C Badcock; J Smith; N E Thomas; L E Haydu; B K Armstrong; M H Law; J F Thompson; P A Kanetsky; C B Begg; Y Shi; A Kricker; I Orlow; A Sharma; S Yoo; S F Leong; M Berwick; D W Ollila; S Lo
Journal:  Br J Dermatol       Date:  2019-11-27       Impact factor: 9.302

5.  Sequential digital dermatoscopic imaging of patients with multiple atypical nevi.

Authors:  Philipp Tschandl
Journal:  Dermatol Pract Concept       Date:  2018-07-31

6.  Prevention versus early detection for long-term control of melanoma and keratinocyte carcinomas: a cost-effectiveness modelling study.

Authors:  Louisa Gordon; Catherine Olsen; David C Whiteman; Thomas M Elliott; Monika Janda; Adele Green
Journal:  BMJ Open       Date:  2020-02-26       Impact factor: 2.692

7.  Targeted Melanoma Screening: Risk Self-Assessment and Skin Self-Examination Education Delivered During Mammography of Women.

Authors:  June K Robinson; Megan Perez; Dalya Abou-El-Seoud; Kathryn Kim; Zoe Brown; Elona Liko-Hazizi; Sarah M Friedewald; Mary Kwasny; Bonnie Spring
Journal:  JNCI Cancer Spectr       Date:  2019-06-28

8.  GPs' involvement in diagnosing, treating, and referring patients with suspected or confirmed primary cutaneous melanoma: a qualitative study.

Authors:  Andrea L Smith; Caroline G Watts; Samuel Robinson; Helen Schmid; Chiao-Han Chang; John F Thompson; Frances Rapport; Anne E Cust
Journal:  BJGP Open       Date:  2020-06-23

9.  Evaluation of the efficacy of 3D total-body photography with sequential digital dermoscopy in a high-risk melanoma cohort: protocol for a randomised controlled trial.

Authors:  Clare Amy Primiero; Aideen M McInerney-Leo; Brigid Betz-Stablein; David C Whiteman; Louisa Gordon; Liam Caffery; Joanne F Aitken; Elizabeth Eakin; Sonya Osborne; Len Gray; B Mark Smithers; Monika Janda; H Peter Soyer; Anna Finnane
Journal:  BMJ Open       Date:  2019-11-10       Impact factor: 2.692

10.  Risk Prediction Models for Melanoma: A Systematic Review on the Heterogeneity in Model Development and Validation.

Authors:  Isabelle Kaiser; Annette B Pfahlberg; Wolfgang Uter; Markus V Heppt; Marit B Veierød; Olaf Gefeller
Journal:  Int J Environ Res Public Health       Date:  2020-10-28       Impact factor: 3.390

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