Literature DB >> 25389712

Specialized surveillance for individuals at high risk for melanoma: a cost analysis of a high-risk clinic.

Caroline G Watts1, Anne E Cust1, Scott W Menzies2, Elliot Coates2, Graham J Mann3, Rachael L Morton4.   

Abstract

IMPORTANCE: Regular surveillance of individuals at high risk for cutaneous melanoma improves early detection and reduces unnecessary excisions; however, a cost analysis of this specialized service has not been undertaken.
OBJECTIVE: To determine the mean cost per patient of surveillance in a high-risk clinic from the health service and societal perspectives. DESIGN, SETTING, AND PARTICIPANTS: We used a bottom-up microcosting method to measure resource use in a consecutive sample of 102 patients treated in a high-risk hospital-based clinic in Australia during a 12-month period. EXPOSURE: Surveillance and treatment of melanoma. MAIN OUTCOMES AND MEASURES: All surveillance and treatment procedures were identified through direct observation, review of medical records, and interviews with staff and were valued using scheduled fees from the Australian government. Societal costs included transportation and loss of productivity.
RESULTS: The mean number of clinic visits per year was 2.7 (95% CI, 2.5-2.8) for surveillance and 3.8 (95% CI, 3.4-4.1) for patients requiring surgical excisions. The mean annual cost per patient to the health system was A $882 (95% CI, A $783-$982) (US $599 [95% CI, US $532-$665]); the cost discounted across 20 years was A $11,546 (95% CI, A $10,263-$12,829) (US $7839 [95% CI, US $6969-$8710]). The mean annual societal cost per patient (excluding health system costs) was A $972 (95% CI, A $899-$1045) (US $660 [95% CI, US $611-$710]); the cost discounted across 20 years was A $12,721 (95% CI, A $12,554-$14,463) (US $8637 [95% CI, US $8523-$9820]). Diagnosis of melanoma or nonmelanoma skin cancer and frequent excisions for benign lesions in a relatively small number of patients was responsible for positively skewed health system costs. CONCLUSIONS AND RELEVANCE: Microcosting techniques provide an accurate cost estimate for the provision of a specialized service. The high societal cost reflects the time that patients are willing to invest to attend the high-risk clinic. This alternative model of care for a high-risk population has relevance for decision making about health policy.

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Year:  2015        PMID: 25389712     DOI: 10.1001/jamadermatol.2014.1952

Source DB:  PubMed          Journal:  JAMA Dermatol        ISSN: 2168-6068            Impact factor:   10.282


  9 in total

1.  Patient Preferences for Follow-up After Recent Excision of a Localized Melanoma.

Authors:  Wei-Yin Lim; Rachael L Morton; Robin M Turner; Marisa C Jenkins; Pascale Guitera; Les Irwig; Angela C Webster; Mbathio Dieng; Robyn P M Saw; Donald Low; Cynthia Low; Katy J L Bell
Journal:  JAMA Dermatol       Date:  2018-04-01       Impact factor: 10.282

Review 2.  Hereditary melanoma: Update on syndromes and management: Genetics of familial atypical multiple mole melanoma syndrome.

Authors:  Efthymia Soura; Philip J Eliades; Kristen Shannon; Alexander J Stratigos; Hensin Tsao
Journal:  J Am Acad Dermatol       Date:  2016-03       Impact factor: 11.527

3.  Assessing the Potential for Patient-led Surveillance After Treatment of Localized Melanoma (MEL-SELF): A Pilot Randomized Clinical Trial.

Authors:  Deonna M Ackermann; Mbathio Dieng; Ellie Medcalf; Marisa C Jenkins; Cathelijne H van Kemenade; Monika Janda; Robin M Turner; Anne E Cust; Rachael L Morton; Les Irwig; Pascale Guitera; H Peter Soyer; Victoria Mar; Jolyn K Hersch; Donald Low; Cynthia Low; Robyn P M Saw; Richard A Scolyer; Dorothy Drabarek; David Espinoza; Anthony Azzi; Alister M Lilleyman; Amelia K Smit; Peter Murchie; John F Thompson; Katy J L Bell
Journal:  JAMA Dermatol       Date:  2022-01-01       Impact factor: 11.816

4.  Determination of the impact of melanoma surgical timing on survival using the National Cancer Database.

Authors:  Ruzica Z Conic; Claudia I Cabrera; Alok A Khorana; Brian R Gastman
Journal:  J Am Acad Dermatol       Date:  2017-10-17       Impact factor: 11.527

Review 5.  Advances in Prevention and Surveillance of Cutaneous Malignancies.

Authors:  Megan H Trager; Dawn Queen; Faramarz H Samie; Richard D Carvajal; David R Bickers; Larisa J Geskin
Journal:  Am J Med       Date:  2019-11-09       Impact factor: 4.965

6.  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

7.  Can patient-led surveillance detect subsequent new primary or recurrent melanomas and reduce the need for routinely scheduled follow-up? A protocol for the MEL-SELF randomised controlled trial.

Authors:  Deonna M Ackermann; Amelia K Smit; Monika Janda; Cathelijne H van Kemenade; Mbathio Dieng; Rachael L Morton; Robin M Turner; Anne E Cust; Les Irwig; Jolyn K Hersch; Pascale Guitera; H Peter Soyer; Victoria Mar; Robyn P M Saw; Donald Low; Cynthia Low; Dorothy Drabarek; David Espinoza; Jon Emery; Peter Murchie; John F Thompson; Richard A Scolyer; Anthony Azzi; Alister Lilleyman; Katy J L Bell
Journal:  Trials       Date:  2021-05-04       Impact factor: 2.279

Review 8.  Improving outcomes in patients with melanoma: strategies to ensure an early diagnosis.

Authors:  Rachel K Voss; Tessa N Woods; Kate D Cromwell; Kelly C Nelson; Janice N Cormier
Journal:  Patient Relat Outcome Meas       Date:  2015-11-06

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

  9 in total

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