Literature DB >> 29710082

Accuracy of Skin Cancer Diagnosis by Physician Assistants Compared With Dermatologists in a Large Health Care System.

Alyce M Anderson1, Martha Matsumoto2, Melissa I Saul3, Aaron M Secrest4,5, Laura K Ferris2.   

Abstract

Importance: Physician assistants (PAs) are increasingly used in dermatology practices to diagnose skin cancers, although, to date, their diagnostic accuracy compared with board-certified dermatologists has not been well studied. Objective: To compare diagnostic accuracy for skin cancer of PAs with that of dermatologists. Design, Setting, and Participants: Medical record review of 33 647 skin cancer screening examinations in 20 270 unique patients who underwent screening at University of Pittsburgh Medical Center-affiliated dermatology offices from January 1, 2011, to December 31, 2015. International Classification of Diseases, Ninth Revision code V76.43 and International Classification of Diseases and Related Health Problems, Tenth Revision code Z12.83 were used to identify pathology reports from skin cancer screening examinations by dermatologists and PAs. Exposure: Examination performed by a PA or dermatologist. Main Outcomes and Measures: Number needed to biopsy (NNB) to diagnose skin cancer (nonmelanoma, invasive melanoma, or in situ melanoma).
Results: Of 20 270 unique patients, 12 722 (62.8%) were female, mean (SD) age at the first visit was 52.7 (17.4) years, and 19 515 patients (96.3%) self-reported their race/ethnicity as non-Hispanic white. To diagnose 1 case of skin cancer, the NNB was 3.9 for PAs and 3.3 for dermatologists (P < .001). Per diagnosed melanoma, the NNB was 39.4 for PAs and 25.4 for dermatologists (P = .007). Patients screened by a PA were significantly less likely than those screened by a dermatologist to be diagnosed with melanoma in situ (1.1% vs 1.8% of visits, P = .02), but differences were not significant for invasive melanoma (0.7% vs 0.8% of visits, P = .83) or nonmelanoma skin cancer (6.1% vs 6.1% of visits, P = .98). Conclusions and Relevance: Compared with dermatologists, PAs performed more skin biopsies per case of skin cancer diagnosed and diagnosed fewer melanomas in situ, suggesting that the diagnostic accuracy of PAs may be lower than that of dermatologists. Although the availability of PAs may help increase access to care and reduce waiting times for appointments, these findings have important implications for the training, appropriate scope of practice, and supervision of PAs and other nonphysician practitioners in dermatology.

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Mesh:

Year:  2018        PMID: 29710082      PMCID: PMC6128496          DOI: 10.1001/jamadermatol.2018.0212

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


  8 in total

1.  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

2.  Biopsy Use in Skin Cancer Diagnosis: Comparing Dermatology Physicians and Advanced Practice Professionals.

Authors:  Ashley Nault; Chong Zhang; KyungMann Kim; Sandeep Saha; Daniel D Bennett; Yaohui G Xu
Journal:  JAMA Dermatol       Date:  2015-08       Impact factor: 10.282

3.  Trends in dermatology practices and the implications for the workforce.

Authors:  Alison Ehrlich; James Kostecki; Helen Olkaba
Journal:  J Am Acad Dermatol       Date:  2017-08-04       Impact factor: 11.527

4.  Ethics of utilizing nurse practitioners and physician's assistants in the dermatology setting.

Authors:  Karren Slade; Mark Lazenby; Jane M Grant-Kels
Journal:  Clin Dermatol       Date:  2012 Sep-Oct       Impact factor: 3.541

5.  Dermatology Practice Consolidation Fueled by Private Equity Investment: Potential Consequences for the Specialty and Patients.

Authors:  Jack S Resneck
Journal:  JAMA Dermatol       Date:  2018-01-01       Impact factor: 10.282

6.  Scope of physician procedures independently billed by mid-level providers in the office setting.

Authors:  Brett Coldiron; Mondhipa Ratnarathorn
Journal:  JAMA Dermatol       Date:  2014-11       Impact factor: 10.282

Review 7.  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

8.  Frequency of excisions and yields of malignant skin tumors in a population-based screening intervention of 360,288 whole-body examinations.

Authors:  Annika Waldmann; Sandra Nolte; Alan C Geller; Alexander Katalinic; Martin A Weinstock; Beate Volkmer; Ruediger Greinert; Eckhard W Breitbart
Journal:  Arch Dermatol       Date:  2012-08
  8 in total
  12 in total

1.  Incorrect Denominator.

Authors: 
Journal:  JAMA Dermatol       Date:  2018-06-01       Impact factor: 10.282

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.  Meta-analysis of number needed to treat for diagnosis of melanoma by clinical setting.

Authors:  Amy J Petty; Bradley Ackerson; Reed Garza; Michael Peterson; Beiyu Liu; Cynthia Green; Michelle Pavlis
Journal:  J Am Acad Dermatol       Date:  2020-01-11       Impact factor: 11.527

4.  Spectral indexes obtained by implementation of the fractional Fourier and Hermite transform for the diagnosis of malignant melanoma.

Authors:  Esbanyely Garza-Flores; Esperanza Guerra-Rosas; Josué Álvarez-Borrego
Journal:  Biomed Opt Express       Date:  2019-11-04       Impact factor: 3.732

5.  Low accuracy of self-reported family history of melanoma in high-risk patients.

Authors:  Nicholas D Flint; Michael D Bishop; Tristan C Smart; Jennifer L Strunck; Kenneth M Boucher; Douglas Grossman; Aaron M Secrest
Journal:  Fam Cancer       Date:  2021-01       Impact factor: 2.375

6.  Increased Uniformity in Diagnostic Accuracy of Pigmented Lesions Using Electrical Impedance Spectroscopy Information.

Authors:  Graham Litchman; Rebeca Teplitz; Ryan M Svoboda; James Q Del Rosso
Journal:  J Clin Aesthet Dermatol       Date:  2021-10

7.  Trends in Patch Testing in the Medicare Part B Fee-for-Service Population.

Authors:  Adarsh Ravishankar; Rebecca L Freese; Helen M Parsons; Erin M Warshaw; Noah Goldfarb
Journal:  Dermatitis       Date:  2022 Mar-Apr 01       Impact factor: 4.867

8.  First-in-human clinical study of novel technique to diagnose malignant melanoma via thermal conductivity measurements.

Authors:  Takahiro Okabe; Taku Fujimura; Junnosuke Okajima; Yumi Kambayashi; Setsuya Aiba; Shigenao Maruyama
Journal:  Sci Rep       Date:  2019-03-07       Impact factor: 4.379

9.  Development and Assessment of an Artificial Intelligence-Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices.

Authors:  Ayush Jain; David Way; Vishakha Gupta; Yi Gao; Guilherme de Oliveira Marinho; Jay Hartford; Rory Sayres; Kimberly Kanada; Clara Eng; Kunal Nagpal; Karen B DeSalvo; Greg S Corrado; Lily Peng; Dale R Webster; R Carter Dunn; David Coz; Susan J Huang; Yun Liu; Peggy Bui; Yuan Liu
Journal:  JAMA Netw Open       Date:  2021-04-01

10.  In vivo multimodal optical imaging of dermoscopic equivocal melanocytic skin lesions.

Authors:  V Elagin; E Gubarkova; O Garanina; D Davydova; N Orlinskaya; L Matveev; I Klemenova; I Shlivko; M Shirmanova; E Zagaynova
Journal:  Sci Rep       Date:  2021-01-14       Impact factor: 4.379

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