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1.
J Clin Aesthet Dermatol ; 14(12): 36-43, 2021 Dec.
Article in English | MEDLINE | ID: mdl-35096253

ABSTRACT

BACKGROUND: Amelanotic melanoma (AM) is a rare form of melanoma lacking pigment. Data on AM risk factors and factors predicting survival are limited. OBJECTIVES: We sought to identify predictors of AM, survival differences in AM and melanotic melanoma, and AM-specific survival rates. METHODS: Using 2004 through 2015 National Cancer Database data, we compared 358,543 melanoma cases to 1,384 AM cases. Multivariable logistic regression identified AM risk factors, and AM survival was explored using Kaplan-Meier and multivariable Cox regression. RESULTS: Increased age; tumor location on the face, scalp, and neck; increased Breslow thickness; metastatic disease; ulceration; and higher mitotic rate were associated with AM. Five- and ten-year survival rates were higher for patients with MM (melanotic melanoma) than AM tumors (75.4% vs. 58.8% and 62.4% vs 45.1%; log-rank P<0.0001). No survival difference was seen after adjusting for staging factors. Among patients with AM, more recent diagnosis was associated with improved survival. Increased age, T4 tumor size, higher N-stage, metastasis, and ulceration predicted poorer survival. No survival advantage was seen for chemotherapy, immunotherapy, or radiation therapy, likely due to confounding. CONCLUSION: AM is more common in older patients on sun-exposed skin and is diagnosed at later stages. Advanced staging at diagnosis explains the survival differences. In patients with AM, regional and metastatic disease were the primary contributors of poorer outcomes. In at-risk patients, the threshold to biopsy should be lower for suspicious nonpigmented lesions.

2.
JAMA Dermatol ; 156(10): 1074-1078, 2020 10 01.
Article in English | MEDLINE | ID: mdl-32845288

ABSTRACT

Importance: Insurance companies use prior authorizations (PAs) to address inappropriate prescribing or unnecessary variations in care, most often for expensive medications. Prior authorizations negatively affect patient care and add costs and administrative burden to dermatology offices. Objective: To quantify the administrative burden and costs of dermatology PAs. Design, Setting, and Participants: The University of Utah Department of Dermatology employs 2 full-time and 8 part-time PA staff. In this cross-sectional study at a large academic department spanning 11 clinical locations, these staff itemized all PA-related encounters over a 30-day period in September 2016. Staff salary and benefits were publicly available. Data were analyzed between December 2018 and August 2019. Main Outcomes and Measures: Proportion of visits requiring PAs, median administrative time to finalize a PA (either approval or denial after appeal), and median cost per PA type. Results: In September 2016, 626 PAs were generated from 9512 patient encounters. Staff spent 169.7 hours directly handling PAs, costing a median of $6.72 per PA. Biologic PAs cost a median of $15.80 each and took as long as 31 business days to complete. The costliest PA equaled 106% of the associated visit's Medicare reimbursement rate. Approval rates were 99.6% for procedures, 78.9% for biologics, and 58.2% for other medications. After appeal, 5 of 23 (21.7%) previously denied PAs were subsequently approved. Conclusions and Relevance: Prior authorizations are costly to dermatology practices and their value appears limited for some requests. Fewer unnecessary PAs and appeals might increase practice efficiency and improve patient outcomes.


Subject(s)
Dermatology/economics , Efficiency, Organizational/economics , Prior Authorization/economics , Skin Diseases/therapy , Cross-Sectional Studies , Dermatologic Agents/economics , Dermatologic Agents/therapeutic use , Dermatology/organization & administration , Dermatology/statistics & numerical data , Drug Prescriptions/economics , Drug Prescriptions/statistics & numerical data , Efficiency, Organizational/statistics & numerical data , Hospitals, University/economics , Hospitals, University/organization & administration , Hospitals, University/statistics & numerical data , Humans , Medicare/economics , Medicare/statistics & numerical data , Mohs Surgery/economics , Mohs Surgery/statistics & numerical data , Prior Authorization/statistics & numerical data , Reimbursement Mechanisms/economics , Reimbursement Mechanisms/statistics & numerical data , Skin Diseases/blood , Skin Diseases/economics , Time Factors , Ultraviolet Therapy/economics , Ultraviolet Therapy/statistics & numerical data , United States
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