B Gerbert1, A Bronstone, T Maurer, R Hofmann, T Berger. 1. Division of Behavioral Sciences, School of Dentistry, University of California, San Francisco 94111, USA. gerbert@itsa.ucsf.edu
Abstract
OBJECTIVE: To determine whether decision support software can help primary care physicians proficiently triage lesions suggestive of basal cell and squamous cell carcinoma. DESIGN/MEASURES: Physicians selected triage options for 15 digitized images of skin lesions, with and without use of the decision support software. PARTICIPANTS/SETTINGS: Twenty primary care physicians practicing in a health maintenance organization or a city health clinic. INTERVENTION: Decision support software designed to help physicians arrive at a triage recommendation consisted of a clinical information form, a decision tree, and support features (teaching points, example images, and diagrams). RESULTS: Without using the decision support software, physicians chose the wrong triage decision 36.7% of the time; using the decision support software, they chose the wrong response only 13.3% of the time. Not using the decision support software, they failed to correctly perform a biopsy on or refer patients with cancerous lesions 22.1% of the time; using the software, they failed to correctly perform a biopsy on or refer patients with cancerous lesions only 3.6% of the time. Physicians scored an average of 3 points (of a possible 15 points) higher when they used the software (signed rank, 101.0; P<.001). They scored an average of 1 point higher on the 7 cancerous lesions when they used the software (signed rank, 65.5; P<.001). CONCLUSIONS: Use of decision support software could improve primary care physicians' triage decisions for lesions suggestive of nonmelanoma skin cancer, and potentially reduce morbidity and health care costs. We are designing a larger study to evaluate the accuracy and utility of the software with patients seen in clinical practice.
OBJECTIVE: To determine whether decision support software can help primary care physicians proficiently triage lesions suggestive of basal cell and squamous cell carcinoma. DESIGN/MEASURES: Physicians selected triage options for 15 digitized images of skin lesions, with and without use of the decision support software. PARTICIPANTS/SETTINGS: Twenty primary care physicians practicing in a health maintenance organization or a city health clinic. INTERVENTION: Decision support software designed to help physicians arrive at a triage recommendation consisted of a clinical information form, a decision tree, and support features (teaching points, example images, and diagrams). RESULTS: Without using the decision support software, physicians chose the wrong triage decision 36.7% of the time; using the decision support software, they chose the wrong response only 13.3% of the time. Not using the decision support software, they failed to correctly perform a biopsy on or refer patients with cancerous lesions 22.1% of the time; using the software, they failed to correctly perform a biopsy on or refer patients with cancerous lesions only 3.6% of the time. Physicians scored an average of 3 points (of a possible 15 points) higher when they used the software (signed rank, 101.0; P<.001). They scored an average of 1 point higher on the 7 cancerous lesions when they used the software (signed rank, 65.5; P<.001). CONCLUSIONS: Use of decision support software could improve primary care physicians' triage decisions for lesions suggestive of nonmelanoma skin cancer, and potentially reduce morbidity and health care costs. We are designing a larger study to evaluate the accuracy and utility of the software with patients seen in clinical practice.
Authors: Sophie Chima; Jeanette C Reece; Kristi Milley; Shakira Milton; Jennifer G McIntosh; Jon D Emery Journal: Br J Gen Pract Date: 2019-11-28 Impact factor: 5.386
Authors: Antonieta Medina-Lara; Bogdan Grigore; Ruth Lewis; Jaime Peters; Sarah Price; Paolo Landa; Sophie Robinson; Richard Neal; William Hamilton; Anne E Spencer Journal: Health Technol Assess Date: 2020-11 Impact factor: 4.014
Authors: Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Rubeta N Matin; Kai Yuen Wong; Roger Benjamin Aldridge; Alana Durack; Abha Gulati; Sue Ann Chan; Louise Johnston; Susan E Bayliss; Jo Leonardi-Bee; Yemisi Takwoingi; Clare Davenport; Colette O'Sullivan; Hamid Tehrani; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2018-12-04
Authors: Naomi Chuchu; Jacqueline Dinnes; Yemisi Takwoingi; Rubeta N Matin; Susan E Bayliss; Clare Davenport; Jacqueline F Moreau; Oliver Bassett; Kathie Godfrey; Colette O'Sullivan; Fiona M Walter; Richard Motley; Jonathan J Deeks; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2018-12-04