Year: 2025
Type: article
Abstract: Objective: Develop software to identify the main orthopedic diseases affecting the feet and guide patients by assessing pain intensity and the application’s (APP) diagnostic accuracy. Methods: The software was developed by the Creation Department of Unichristus University. Over two months, 22 patients seeking orthopedics assistance for foot pain were recruited. During the scheduling, they were invited to participate in the study and received a link to download the APP. After signing the informed consent form and using the APP, the patient’s pain intensity and APP suggested results were collected and compared to the medical diagnosis recorded in electronic health records after consultation. Results: The APP was developed with information on the main orthopedic foot diseases. It showed high accuracy for hallux valgus (100%), plantar fasciitis (75%), metatarsalgia (66.67%), and calcaneal tendinopathy (66.70%). However, the overall concordance with medical diagnoses was 40.90%. Pain intensity primarily ranged between 6 and 8 (68.20%). Conclusion: The APP yielded positive results in identifying specific orthopedic foot diseases with relevant pain intensities but did not achieve high overall concordance. Further studies are needed to create more accurate diagnostic flowcharts. Level of Evidence; Diagnostic studies - investigating a diagnostic test.
Source: Journal of the Foot & Ankle
Authors: Rafael Barros Botelho, Marcelo Bitu de Almeida, Thais Romão da Rocha, Daniel Baumfeld, Abrahão Cavalcante Gomes de Souza Carvalho
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4410114667