The Jefferson scale of empathy: measurement properties, underlying components, norms, and cutoff points in dentistry students in latin america. A multicentric study.
Fecha
2021-05-07Autor
Díaz Narváez, Víctor P.
Pedrero Castillo, Víctor
Reyes Reyes, Alejandro
Padilla, Mariela
González-Martínez, Farith
Huberman, Joyce
Calzadilla Núñez, Aracelis
Silva Vetri, María G.
Villalba, Silvina B.
Ulloque, María J.
Erazo Coronado, Ana María
López Tagle, Elizabeth
Sánchez Jiménez, Laura
Bullen Cabrera, Miriam
Salcedo Rioja, Rita
Gutiérrez, Fredy
Bilbao Ramírez, Jorge
Carrasco Mardones, Doris
Torres Martínez, Pilar
Sarabia Álvarez, Pablo A.
Metadatos
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The empathy observed by practicing health professionals is the
product of the quality of empathic training received from the beginning
of their studies. Such training is a problem that must be
considered from the early undergraduate years. The quality of community
dental health depends, in part, on the empathy of its professionals.
The objective of the study is to determine the psychometric
properties of the Jefferson Medical Empathy Scale in dental students
from Latin America and to contribute to the development of a
regional standard for evaluating empathy scores. A cross-sectional
and multicentric study was carried out. We selected 4407 students
from 18 dental schools from seven Latin American countries (Do-minican Republic, Costa Rica, Panama, Colombia, Argentina, Peru
and Chile). The mean empathy reached 108.53 points (SD= 15.05),
with women showing greater empathy than men (p<0.001). The reliability
of the global scale was adequate: Cronbach's α= 0.81 and
McDonald's ω= 0.87. The confirmatory factor analysis validates the
three-factor model of empathy (χ2/df= 1089.28, CFI= 0.96, TLI=
0.95, RMSEA= 0.05). Cut-off scores were calculated to establish
levels of empathy and a regional standard was constructed to assess
student scores. It is concluded that the scale is valid and a
reliable measure to assess empathy in Latin American dental students,
with adequate discrimination power and gender invariance
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