Evaluar la evolución de la empatía en el tiempo en estudiantes de odontología
Empatía en estudiantes de odontología
DOI:
https://doi.org/10.47993/gmb.v47i1.707Palabras clave:
cohorte, diseño transversal, dimensiones de la empatía, empatía, fiabilidad, invarianzaResumen
Objetivo. evaluar la evolución de la empatía y sus dimensiones en dos períodos anuales diferentes y determinar las fortalezas y las deficiencias observadas en la empatía y en sus dimensiones.
Material y Métodos. estudio no experimental, descriptivo y transversal. La población la conforman estudiantes colombianos de odontología. La muestra se conformó de dos cohortes: n=326 estudiantes, 100% de la población (cohorte 2016) y n=207 estudiantes, 87,34 % de la población (cohorte 2022). La empatía fue medida por el instrumento JES-HPS. Se aplicó un análisis factorial confirmatorio, fiabilidad e invarianza. Las comparaciones de empatía entre las cohortes se realizaron mediante un análisis de la varianza factorial. Resultados. se cumplió el modelo teórico de tres dimensiones de la empatía en ambas cohortes estudiadas. Los niveles de confiabilidad fueron aceptables. No se encontraron diferencias estadísticas relevantes entre las cohortes y se observa una declinación en el segundo y quinto curso de la empatía y de las dimensiones en general.
Conclusiones. los valores de la empatía y sus dimensiones se han mantenido sin cambios en el tiempo y la empatía clasifico como “nivel medio” Como consecuencia de lo anterior, los niveles medios de la empatía podrían asociase a un déficit en la capacidad de entender la subjetividad del pensamiento del paciente y, esta situación, complica una actitud empática normal.
Métricas
Citas
Sonis JD, White BA. Optimizing Patient Experience in the Emergency Department. Emerg Med Clin North Am. 2020 ;38(3):705-713. https://doi.org/10.1016/j.emc.2020.04.008. DOI: https://doi.org/10.1016/j.emc.2020.04.008
Michael K, Dror MG, Karnieli-Miller O. Students' patient-centered-care attitudes: The contribution of self-efficacy, communication, and empathy. Patient Educ Couns. 2019 ;102(11):2031-2037. https://doi.org/10.1016/j.pec.2019.06.004 DOI: https://doi.org/10.1016/j.pec.2019.06.004
Arioli M, Cattaneo Z, Ricciardi E, Canessa N. Overlapping and specific neural correlates for empathizing, affective mentalizing, and cognitive mentalizing: A coordinate-based meta-analytic study. Hum Brain Mapp. 2021; 42(14):4777-4804. https://doi.org/10.1002/hbm.25570 DOI: https://doi.org/10.1002/hbm.25570
Decety J, Norman GJ, Berntson GG, Cacioppo JT. A neurobehavioral evolutionary perspective on the mechanisms underlying empathy. Prog Neurobiol. 2012 Jul;98(1):38-48. https://doi.org/10.1016/j.pneurobio.2012.05.001 DOI: https://doi.org/10.1016/j.pneurobio.2012.05.001
Decety J, Svetlova M. Putting together phylogenetic and ontogenetic perspectives on empathy. Dev Cogn Neurosci. 2012; 2(1):1-24. https://doi.org/10.1016/j.dcn.2011.05.003 DOI: https://doi.org/10.1016/j.dcn.2011.05.003
Chin R, Chang SWC, Holmes AJ. Beyond cortex: The evolution of the human brain. Psychol Rev. 2023;130(2):285-307. https://doi.org/10.1037/rev0000361 DOI: https://doi.org/10.1037/rev0000361
Soe NN, Wen DJ, Poh JS, Chong YS, Broekman BF, Chen H, Shek LP, et al. Perinatal maternal depressive symptoms alter amygdala functional connectivity in girls. Hum Brain Mapp. 2018; 39(2):680-690. https://doi.org/10.1002/hbm.23873 DOI: https://doi.org/10.1002/hbm.23873
Cushnie AK, Tang W, Heilbronner SR. Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective. Int J Mol Sci. 2023; 24(10):9083. https://doi.org/10.3390/ijms24109083 DOI: https://doi.org/10.3390/ijms24109083
Karnaze MM, Bellettiere J, Bloss CS. Association of compassion and empathy with prosocial health behaviors and attitudes in a pandemic. PLoS One. 2022; 17(7):e0271829. https://doi.org/10.1371/journal.pone.0271829 DOI: https://doi.org/10.1371/journal.pone.0271829
Belacchi C, Farina E. Feeling and thinking of others: affective and cognitive empathy and emotion comprehension in prosocial/hostile preschoolers. Aggress Behav. 2012; 38(2):150-65. https://doi.org/10.1002/ab.21415 DOI: https://doi.org/10.1002/ab.21415
Winters DE, Pruitt PJ, Fukui S, Cyders MA, Pierce BJ, Lay K, et al. Network functional connectivity underlying dissociable cognitive and affective components of empathy in adolescence. Neuropsychologia. 2021;118:156107832. https://doi.org/10.46664/riics.178 DOI: https://doi.org/10.1016/j.neuropsychologia.2021.107832
Guilera T, Batalla I, Forné C, Soler-González J. Empathy and big five personality model in medical students and its relationship to gender and specialty preference: a cross-sectional study. BMC Med Educ. 2019;19(1):57. https://doi.org/10.1186/s12909-019-1485-2 DOI: https://doi.org/10.1186/s12909-019-1485-2
Waddimba AC, Bennett MM, Fresnedo M, Ledbetter TG, Warren AM. Resilience, Well-being, and Empathy Among Private Practice Physicians and Advanced Practice Providers in Texas: A Structural Equation Model Study. Mayo Clin Proc Innov Qual Outcomes. 2021; 5(5):928-945. https://doi.org/10.1016/j.mayocpiqo.2021.08.009 DOI: https://doi.org/10.1016/j.mayocpiqo.2021.08.009
Roling G, Lutz G, Edelhäuser F, Hofmann M, Valk-Draad MP, Wack C, Haramati A, Tauschel D, Scheffer C. Empathy, well-being and stressful experiences in the clinical learning environment. Patient Educ Couns. 2020;103(11):2320-2327. https://doi.org/10.1016/j.pec.2020.04.025 DOI: https://doi.org/10.1016/j.pec.2020.04.025
Narang R, Mittal L, Saha S, Aggarwal VP, Sood P, Mehra S. Empathy among dental students: A systematic review of literature. J Indian Soc Pedod Prev Dent. 2019;37(4):316-326. https://doi.org/10.4103/JISPPD.JISPPD_72_19 DOI: https://doi.org/10.4103/JISPPD.JISPPD_72_19
Berduzco-Torres N, Medina P, San-Martín M, Delgado Bolton RC, Vivanco L. Non-academic factors influencing the development of empathy in undergraduate nursing students: a cross-sectional study. BMC Nurs. 2021;20(1):245. https://doi.org/10.1186/s12912-021-00773-2 DOI: https://doi.org/10.1186/s12912-021-00773-2
Moore R. Maximizing Student Clinical Communication Skills in Dental Education-A Narrative Review. Dent J (Basel). 2022 Apr 1;10(4):57. https://doi.org/10.3390/dj10040057
Detsomboonrat P, Theppanich S, Banyen S, Hongviphat S, Khamnil Y, Lapauthaya K, et al. Empathy level towards patients among thai dental students: a cross-sectional study. BMC Oral Health. 2023 Mar 30;23(1):184. https://doi.org/10.1186/s12903-023-02891-6 DOI: https://doi.org/10.1186/s12903-023-02891-6
Díaz-Narváez VP, Calzadilla-Núñez A, Reyes-Reyes A, Lastre Amell G, Castellón-Montenegro H, Andrade Valles I, et al. Empathy, psychometrics, cut-off points in nursing students from Latin America. Int Nurs Rev. 2022; 1–9. https://doi.org/10.1111/inr.12783 DOI: https://doi.org/10.1111/inr.12783
Rifkin-Graboi A, Kong L, Sim LW, Sanmugam S, Broekman BF, Chen H, et al. Maternal sensitivity, infant limbic structure volume and functional connectivity: a preliminary study. Transl Psychiatry. 2015;5(10): e668. https://doi.org/10.1038/tp.2015.133 DOI: https://doi.org/10.1038/tp.2015.133
González Villanueva L, Méndez Montes de Oca E, García Bernal JG, Arguello Zepeda FJ. La responsabilidad social universitaria. El cumplimiento de los fines de la universidad. Espacios Públicos. 2017; 20(50) https://www.redalyc.org/articulo.oa?id=67656569008
Tremblay MB, Marcoux A, Turcotte V, Woods J, Rouleau C, Grondin F, et al. I Can But I Shall Not Always Be Empathic. Psychol Rep. 2021;124(4):1634-1672. https://doi.org/10.1177/0033294120945180 DOI: https://doi.org/10.1177/0033294120945180
Watanabe R, Kim Y, Kuruma H, Takahashi H. Imitation encourages empathic capacity toward other individuals with physical disabilities. Neuroimage. 2022; 264:119710. https://doi.org/10.1016/j.neuroimage.2022.119710 DOI: https://doi.org/10.1016/j.neuroimage.2022.119710
Moore R. Maximizing Student Clinical Communication Skills in Dental Education-A Narrative Review. Dent J (Basel). 2022;10(4):57. https://doi.org/10.3390/dj10040057 DOI: https://doi.org/10.3390/dj10040057
Mayorga Ponce RB, Virgen Quiroz AK, Martinez Alamilla A, Salazar Valdez D. Prueba Piloto. Educación y Salud. 2020; 9(17): 69-70. https://doi.org/10.29057/icsa.v9i17.6547 DOI: https://doi.org/10.29057/icsa.v9i17.6547
Samavi A, Hajializadeh K, Javdan M, Farshad MR. Psychometric validation of teacher empathy scale: Measurement invariance in gender. Front Psychol. 2022 Nov 25;13:1042993. https://doi.org/10.3389/fpsyg.2022.1042993 DOI: https://doi.org/10.3389/fpsyg.2022.1042993
Archer E, Turner R. Measuring empathy in a group of South African undergraduate medical students using the student version of the Jefferson Scale of Empathy. Afr J Prim Health Care Fam Med. 2019 May 27;11(1):e1-e5. https://doi.org/10.4102/phcfm.v11i1.1956 DOI: https://doi.org/10.4102/phcfm.v11i1.1956
Yuan KH, Bentler PM. Three likelihoodbased methods for mean and Covariance structure analysis with nonnormal missing data. Sociol. Methodol. 2000; 30(1):165–200. https://doi.org/10.1111/0081-1750.00078 DOI: https://doi.org/10.1111/0081-1750.00078
Rhemtulla M, Brosseau-Liard PE, Savalei V. When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychol Methods. 2012; 17(3): 354–373. https://doi.org/10.1037/a0029315 DOI: https://doi.org/10.1037/a0029315
Kline, R. B. Principles and Practice of Structural Equation Modeling (4th ed.). The Guilford Press; 2015.
Schumacker RE, Lomax RG. A Beginner’s Guide to Structural Equation Modeling. Fourth Edition (4th ed.). Routledge; 2015. DOI: https://doi.org/10.4324/9781315749105
Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrik. 1951; 16(3): 297–334. https://doi.org/10.1007/BF02310555 DOI: https://doi.org/10.1007/BF02310555
McDonald RP. Test Theory: A Unified Treatment. Taylor & Francis; 1999
Viladrich C, Angulo-Brunet A, Doval E. A journey around alpha and omega to estimate internal consistency reliability. An. de Psicol. 2017: 33(3):755–782. https://doi.org/10.6018/analesps.33.3.268401 DOI: https://doi.org/10.6018/analesps.33.3.268401
Chen FF. Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct Equ Modeling. 2007; 14(3):464–504. https://doi.org/10.1080/10705510701301834 DOI: https://doi.org/10.1080/10705510701301834
Cárdenas M; Arancibia H. Potencia estadística y cálculo del tamaño del efecto en G*Power: complementos a las pruebas de significación estadística y su aplicación en psicología. Salud & Sociedad. 2014; 5(2): 210-224. https://doi.org/10.22199/S07187475.2014.0002.00006 DOI: https://doi.org/10.22199/S07187475.2014.0002.00006
Rendón-Macías ME, Zarco-Villavicencio IS, Villasís-Keever MA. Métodos estadísticos para el análisis del tamaño del efecto. Rev. alerg. Méx. 2021; 68(2): 128-136. https://doi.org/10.29262/ram.v658i2.949 DOI: https://doi.org/10.29262/ram.v658i2.949
Finney S.J, DiStefano C. Non-normal and categorical data in structural equation modeling. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (pp. 269–314). 2006. Information Age Publishing.
Manterola C, Otzen T. Bias in clinical research. Int. J. Morphol.2015; 33(3):1156-1164. http://dx.doi.org/10.4067/S0717-95022015000300056 DOI: https://doi.org/10.4067/S0717-95022015000300056
Díaz VP, Reyes A, Calzadilla A, Torres A, González E, Bilbao J, et al. Psychometry and estimation of cutoff points of Jefferson Scale of empathy in dental students. J Dent Educ. 2020;1–9. https://doi.org/10.1002/jdd.12444. DOI: https://doi.org/10.1002/jdd.12444
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2024 Gaceta Médica Boliviana
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
Aceptado 2024-05-23
Publicado 2024-05-23