Types of technology for teaching respiratory sounds: scoping review

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Palavras-chave:

Auscultation, Teaching, Software, Respiratory sounds, Technology

Resumo

Objective: To synthesize available evidence regarding the technologies used to teach auscultation of breath sounds. Method: A scoping review of the literature following the Joanna Briggs Institute-JBI guidelines. The conduct of a protocol registered with the Open Science Framework was reported using the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P). The Preferred Reporting Items for Systematic Reviews and Meta-analyses for Scoping Reviews (PRISMA-ScR) checklist was used when reporting the scoping review. Results: Of the 1,956 studies identified in the databases, 20 dealt with the research topic. The types of technology were 8 (40%) High Fidelity Simulation Training, 7 (35%) Software, 3 (15%) Web Archives, and 2 (10%) Multimedia, where 10 (50%) were developed for Medical Students and 8 (40%) had Comparative Studies as their method. Conclusion: The studies demonstrated the need to consider new types of technologies for teaching respiratory sounds with improved teaching methods that incorporate emerging technologies and address different learning styles, especially in recent years, where technologies are widely used for the automatic diagnosis of respiratory diseases.

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Referências

ANDRÈS, E. et al. A French national research project to the creation of an auscultation’s school: the ASAP project. Eur J Intern Med, v. 20, n. 3, p. 323–327, 2009. Disponível em: <https://dx.doi.org/10.1016/j.ejim.2008.08.013>.

AROMATARIS, E. et al. Manual JBI para Síntese de Evidências sistemáticas e de escopo. [s.l.] Manual JBI de Síntese de Evidências, 2024.

BERTRAND, F. Z. et al. Lung auscultation in the 21th century. Revista Chilena de Pediatria, v. 91, n. 4, p. 500–506, 2020.

BINIAKOWSKI, A. The accuracy of lung auscultation in the practice of physicians and medical students. 2019. Disponível em: <https://doi.org/10.1371/journal.pone.0220606 August>.

CAROMANOA, F. A.; CORIGLIANO, A.; PARDO, M. S. Organização e avaliação de um software para ensino de ausculta respiratória. Revista Fisioterapia universidade de São Paulo, 2002.

CHEN, R.; GRIERSON, L. E.; NORMAN, G. R. Evaluating the impact of high- and low-fidelity instruction in the development of auscultation skills. Medical Education, v. 49, n. 3, p. 276–285, 2015.

GOLDSWORTHY, S. et al. Do basic auscultation skills need to be resuscitated? A new strategy for improving competency among nursing students. Nurse Education Today, v. 97, p. 104722, fev. 2021. Disponível em: <https://linkinghub.elsevier.com/retrieve/pii/S0260691720315720>.

HADDAWAY, N. R. et al. PRISMA2020: An R package and Shiny app for producing PRISMA 2020-compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis. Campbell Systematic Reviews, v. 18, n. 2, p. 1–12, 2022.

HONKOOP, P.; USMANI, O.; BONINI, M. The Current and Future Role of Technology in Respiratory Care. Pulmonary Therapy, v. 8, n. 2, p. 167–179, 2022. Disponível em: <https://doi.org/10.1007/s41030-022-00191-y>.

HSU, F.-S. et al. A Progressively Expanded Database for Automated Lung Sound Analysis: An Update. Applied Sciences, v. 12, n. 15, p. 7623, 28 jul. 2022. Disponível em: <https://www.mdpi.com/2076-3417/12/15/7623>.

KAMINSKY, J. et al. Respiratory Auscultation Lab Using a Cardiopulmonary Auscultation Simulation Manikin. MedEdPORTAL : the journal of teaching and learning resources, v. 17, p. 11107, 2021.

KHALDI, A.; BOUZIDI, R.; NADER, F. Gamification of e-learning in higher education: a systematic literature review. Smart Learning Environments, v. 10, n. 1, 2023. Disponível em: <https://doi.org/10.1186/s40561-023-00227-z>.

KOMPIS, M.; EW, R. Computer-based lung sound simulation.Medical & biological engineering & computingUnited States, 1997. . Disponível em: <https://pubmed.ncbi.nlm.nih.gov/9246857/>.

MANGIONE, S.; DENNIS, S. CompuLung: a multimedia CBL on pulmonary auscultation. Proceedings / the ... Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care, p. 820–821, 1992. Disponível em: <https://www.scopus.com/inward/record.uri?eid=2-s2.0-0027014428&partnerID=40&md5=5778fe07adb651713b298c4a00df3264>.

MARQUES, A. et al. Usability of Computerized Lung Auscultation-Sound Software (CLASS) for learning pulmonary auscultation. Med Biol Eng Comput, v. 56, n. 4, p. 623–633, 2018. Disponível em: <https://dx.doi.org/10.1007/s11517-017-1697-8>.

MELO, F. N. de P.; DAMASCENO, M. M. C. A construçao de um software educativo sobre ausculta dos sons respiratórios. Revista da Escola de Enfermagem da U S P, v. 40, n. 4, p. 563–569, 2006.

MERUVIA-PASTOR, O. et al. OMARC: An online multimedia application for training health care providers in the assessment of respiratory conditions. Int J Med Inform, v. 89, p. 15–24, 2016. Disponível em: <https://dx.doi.org/10.1016/j.ijmedinf.2016.02.007>.

MUNN, Z. et al. Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Medical Research Methodology, p. 18–143, 2018. Disponível em: <https://doi.org/10.1186/s12874-018-0611-x>.

MUTLU, B.; YILMAZ, O. E.; DUR, S. The effect of high- and low-fidelity simulators in learning heart and lung sounds by undergraduate nurses: a randomized controlled trial†. Contemporary Nurse, v. 55, n. 4–5, p. 351–359, 2019.

OLIVEIRA, G.; LEON, D. M.; SARAC, J. Ausculsensor : Uma exploracão no espaço de Projeto para Ausculta Pulmonar Automática na Fisioterapia Respiratória. 2022. Disponível em: <https://doi.org/10.5753/sbcas.2022.222453>.

PAGE, M. J. et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, v. 372, p. n71, 29 mar. 2021. Disponível em: <https://www.bmj.com/lookup/doi/10.1136/bmj.n71>.

PETERS, M. D. J. et al. Updated methodological guidance for the conduct of scoping reviews. JBI Evidence Synthesis, v. 18, n. 10, p. 2119–2126, out. 2020. Disponível em: <https://journals.lww.com/10.11124/JBIES-20-00167>.

POLLOCK, D. et al. Qualidade metodológica, orientação e ferramentas em revisões de escopo: um protocolo de revisão de escopo. p. 1098–1105, 2022. Disponível em: <10.11124/JBIES-20-00570.>.

POLLOCK, D. et al. Recommendations for the extraction, analysis, and presentation of results in scoping reviews. JBI evidence synthesis, v. 21, n. 3, p. 520–532, 2023.

SESTINI, P. et al. MULTIMEDIA PRESENTATION OF LUNG SOUNDS AS A LEARNING-AID FOR MEDICAL-STUDENTS. EUROPEAN RESPIRATORY JOURNAL, v. 8, n. 5, p. 783–788, 1995.

THAMRUANGRIT, S. et al. The Effect of a Child Model on Breath-Sounds Examination Skills and Satisfaction on Nursing Students. HEALTHCARE, v. 10, n. 7, jul. 2022.

ÜZEN CURA, S. et al. Examining Knowledge, Skill, Stress, Satisfaction, and Self-Confidence Levels of Nursing Students in Three Different Simulation Modalities. Asian Nurs Res (Korean Soc Nurs Sci), v. 14, n. 3, p. 158–164, 2020. Disponível em: <https://dx.doi.org/10.1016/j.anr.2020.07.001>.

VERAS, K. da C. B. B. et al. Potencialidades pedagógicas dos softwares 3D de anatomia humana: uma análise a partir da teoria cognitiva da aprendizagem multimídia. Research, Society and Development, v. 11, n. 12, p. e392111234378, 2022.

WARD, J. J.; WATTIER, B. A. Technology for enhancing chest auscultation in clinical simulation. Respir Care, v. 56, n. 6, p. 834–845, 2011. Disponível em: <https://dx.doi.org/10.4187/respcare.01072>.

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2024-10-04

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