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DOI: 10.1055/s-0040-1713797
Aplicación móvil en el diagnóstico de dolor de hombro para médicos generales
Mobile Application in the Diagnosis of Shoulder Pain for General PhysiciansResumen
Objetivo Evaluar la concordancia diagnóstica durante la evaluación inicial de pacientes con dolor de hombro entre: (1) Traumatólogos especialistas en hombro realizando una evaluación convencional y (2) un médico general utilizando una nueva aplicación móvil.
Materiales y Método Se diseñó una aplicación móvil para asistir a médicos generales a realizar una evaluación del dolor de hombro entregando una hipótesis diagnóstica. Se diseñó un estudio de concordancia diagnóstica. Se evaluó un grupo de 60 pacientes, quienes consultaron por primera vez con un especialista en hombro. Primero, todos fueron evaluados por un médico general utilizando la aplicación. Se registró la hipótesis diagnóstica entregada por la aplicación. Luego, el especialista realizó una evaluación con anamnesis y examen físico, registrando su hipótesis diagnóstica. Se realizó una prueba Kappa para determinar la concordancia entre ambos evaluadores.
Resultados La concordancia global entre los especialistas y la aplicación móvil utilizada por el médico general fue sustancial (k = 0,74; p < 0,001). La concordancia fue casi perfecta para el Pinzamiento subacromial, dolor cervical, lesión acromioclavicular, inestabilidad de hombro, y el pinzamiento interno.
Conclusión La concordancia diagnóstica durante la evaluación inicial de pacientes con dolor de hombro entre traumatólogos especialistas y un médico general utilizando una aplicación móvil fue sustancial.
Nivel de Evidencia Tipo III.
Abstract
Objective To evaluate the diagnostic concordance during the initial evaluation of patients with shoulder pain between: (1) Shoulder orthopedic surgeons performing a conventional evaluation and (2) a general practitioner using a new mobile application.
Materials and Method A mobile application was designed to assist general practitioners to perform an evaluation of shoulder pain by providing a diagnostic hypothesis. A diagnostic concordance study was designed. A group of 60 patients were evaluated, who consulted for the first time with a shoulder specialist. First, they were all evaluated by a general practitioner using the application. The diagnostic hypothesis delivered by the application was recorded. Then, the specialist made an evaluation with anamnesis and physical examination, recording his diagnostic hypothesis. A Kappa test was performed to determine the agreement between both evaluators.
Results The overall agreement between the specialists and the mobile application used by the general practitioner was substantial (k = 0.74, p < 0.001). The agreement was almost perfect for subacromial impingement, cervical pain, acromioclavicular injuries, shoulder instability, and internal impingement.
Conclusion The diagnostic agreement during the initial evaluation of patients with shoulder pain between shoulder specialist and a general practitioner using a mobile application was substantial.
Level of Evidence Type III.
Publication History
Received: 18 July 2019
Accepted: 13 May 2020
Article published online:
20 July 2020
© 2020. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Thieme Revinter Publicações Ltda
Rio de Janeiro, Brazil
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Bibliografía
- 1 WHO Global Observatory for eHealth. mHealth: new horizons for health through mobile technologies: second global survey on eHealth. Geneva: World Health Organization; 2011. . [Internet]. Available from: http://www.who.int/iris/handle/10665/44607
- 2 Singh P, Panjwani M. mHealth: Meaning, Purposeand Outcomes. IJCSIT 2016; 7 (05) 2216-2221
- 3 U.S. Department of Health and Human Services Food and Drug Administration. Mobile Medical Applicationes. Guidance for Industry and Food and Drug Administration Staff [Internet]. 2015. Available from: https://www.fda.gov/downloads/MedicalDevices/DeviceRegulationandGuidance/GuidanceDocuments/UCM263366.pdf
- 4 Greenberg DL. Evaluation and treatment of shoulder pain. Med Clin North Am 2014; 98 (03) 487-504
- 5 Urwin M, Symmons D, Allison T. , et al. Estimating the burden of musculoskeletal disorders in the community: the comparative prevalence of symptoms at different anatomical sites, and the relation to social deprivation. Ann Rheum Dis 1998; 57 (11) 649-655
- 6 Tzortziou Brown V, Underwood M, Mohamed N, Westwood O, Morrissey D. Professional interventions for general practitioners on the management of musculoskeletal conditions. Cochrane Database Syst Rev 2016; (05) CD007495
- 7 Mayo Clinic. Symptom Checker [Internet]. Available from: https://www.mayoclinic.org/symptom-checker/select-symptom/itt-20009075
- 8 The Stone Clinic. Self diagnosis symptom checker [Internet]. Available from: https://www.stoneclinic.com/shoulder-self-diagnosis
- 9 Cleveland Clinic. Shoulder Pain [Internet]. Available from: https://pages.clevelandclinic.org/shoulder-pain-index.html
- 10 ShoulderDoc. Diagnose Your Shoulder [Internet]. Available from: https://www.shoulderdoc.co.uk
- 11 Reactor Spa [Internet]. Available from: https://www.reactor.cl
- 12 Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977; 33 (01) 159-174
- 13 Hegedus EJ, Goode AP, Cook CE. , et al. Which physical examination tests provide clinicians with the most value when examining the shoulder? Update of a systematic review with meta-analysis of individual tests. Br J Sports Med 2012; 46 (14) 964-978
- 14 The Cochrane Collaboration, Ed. Cochrane Database of Systematic Reviews: Protocols [Internet]. Chichester, UK: John Wiley & Sons, Ltd; 1996. [cited 2019 Feb 6]. Available from: http://doi.wiley.com/10.1002/14651858
- 15 Ye J, Zuo Y, Xie T. , et al. A telemedicine wound care model using 4G with smart phones or smart glasses: A pilot study. Medicine (Baltimore) 2016; 95 (31) e4198
- 16 Alquran A, Lambert KA, Farouque A. , et al. Smartphone Applications for Encouraging Asthma Self-Management in Adolescents: A Systematic Review. Int J Environ Res Public Health 2018; 15 (11) 2403
- 17 da Costa TM, Salomão PL, Martha AS, Pisa IT, Sigulem D. The impact of short message service text messages sent as appointment reminders to patients' cell phones at outpatient clinics in São Paulo, Brazil. Int J Med Inform 2010; 79 (01) 65-70
- 18 Mannino RG, Myers DR, Tyburski EA. , et al. Smartphone app for non-invasive detection of anemia using only patient-sourced photos. Nat Commun 2018; 9 (01) 4924 http://www.nature.com/articles/s41467-018-07262-2 [Internet]
- 19 World Health Organization. Classification of Digital Health Interventions. 2018 [Internet]. Available from: https://www.who.int/reproductivehealth/publications/mhealth/classification-digital-health-interventions/en/