ABSTRACT
Objective This study aimed to identify the types, frequency, and clinical significance of altered interpreta-tion in clinical settings.Methods Routine outpatient encounters involving Portuguese-speaking Brazilian patients, Japanese doctors, and hospital-provided interpreters were digitally recorded and transcribed. Segments of consecutively interpreted utterances were coded as “altered,” in which the interpreter changed the meaning of the source utterance, or “unaltered (accurate),” and the types and frequency of occurrence were analyzed. Altered interpretations were categorized as clinically negative or positive and classified into four categories: omission, addition, substitution, or voluntary intervention. Incidents resulting from alterations were investigated. Reliability was assessed by examining the correlation between random independently coded samples.Results In total, 111 encounters were analyzed. The mean segments per encounter was 67.9 (range 14-186), and the mean frequency (standard deviation) of altered interpretations per 100 segments was 46.7 (14.3) for accurate interpretations; 46.1 (17.9) for negative or not significant alterations, including 27.2 (10.3) for omissions, 6.0 (5.0) for additions, 10.4 (6.9) for substitutions, and 2.5 (2.7) for voluntary interventions; 0.0 (0.2) for alterations potentially leading to an incident; and 26.2 (11.9) for positive alterations, including 1.8 (2.6) for positive omissions, 7.7 (4.7) for positive additions, 7.8 (6.3) for positive substitutions, and 8.8 (5.2) for positive voluntary interventions. The frequency of negative alterations was weakly negatively correlated with number of segments per minute (r＝−0.339). Conclusion Trained healthcare interpreters with fewer clinically significant altered interpretations were effective. Professional medical providers should recognize the importance of positive alterations by healthcare interpreters and collaborate with them to provide safe medical care for foreign patients. To facilitate the provision of appropriate medical care to a growing foreign population with diverse cultural and linguistic needs, undergraduate medical education should teach aspiring medical professionals how to collaborate with healthcare interpreters and foreign patients.
ABSTRACT
Several factors have been reported as risk factors for the development of osteoporosis. In this study, we aimed to examine the relationship among lifestyle factors, biologic factors, and bone mineral density (BMD) using structural equation modeling (SEM). The subjects in the present study consisted of 866 postmenopausal Japanese women aged between 40 and 80 years old. In the analysis by the SEM, we employed a multiple basic model. As the structural variables, lifestyle factors and biologic factors were selected. The goodness of fit index (GFI) of the final model was 0.991 and the Akaike’s information criteria (AIC) showed the lowest value in the peripheral models. The degree of association between biologic factors and BMD was −0.576 (direct association), 0.012 (indirect association), and −0.564 (total association). With regard to the correlation between lifestyle factors and BMD, the degrees of association were 0.085, −0.084, and 0.001, respectively. This study defined a pilot model for factors influencing BMD. Although is remains necessary to conduct further analyses with more valid measurements and constructs, this model indicated that the correlation between BMD and lifestyle factors was lower than that between BMD and biologic factors.