ABSTRACT
BACKGROUND: eHealth literacy is emerging as a crucial concept for promoting patient self-management in an overloaded hospital system. However, to the best of our knowledge, no tool currently exists to measure the level of eHealth literacy among French-speaking people. The eHealth Literacy Scale (eHEALS) is an easy-to-administer 8-item questionnaire (5-point Likert scale, ranging from strongly disagree to strongly agree) that has already been translated into many languages. Currently, it is the most cited questionnaire in the literature. OBJECTIVE: The aim of this study was to translate eHEALS to French and validate the French version of eHEALS (F-eHEALS). METHODS: The validation of the F-eHEALS scale followed the 5 steps of the transcultural validation method: double reverse translation, validation by a committee of experts (n=4), pretest measurement to check the clarity of the items (n=22), administration of the scale in French via a web-based quantitative study combined with two other questionnaires (Health Literacy Survey-Europe-16 and Patient Activation Measure-13; N=328 students), and finally test-retest (n=78) to check the temporal stability of the measurements obtained from the scale. RESULTS: The results obtained for the measurement of factor structure, internal consistency, and temporal stability (intraclass correlation coefficient=0.84; 95% CI 0.76-0.9; F77,77=6.416; P<.001) prove the validity and fidelity of the proposed scale. The internal consistency of F-eHEALS was estimated by Cronbach α of .89. The factor analysis with varimax rotation used to validate the construct showed a 2-factor scale. The effect of the construct was analyzed using 3 hypotheses related to the theory. The F-eHEALS score was correlated with the Health Literacy Survey-Europe-16 score (r=0.34; P<.001) and the Patient Activation Measure-13 score (r=0.31; P<.001). CONCLUSIONS: F-eHEALS is consistent with the original version. It presents adequate levels of validity and fidelity. This 2D scale will need to be generalized to other populations in a French-speaking context. Finally, a version taking into account collaborative applications (ie, Health 2.0; eg, Digital Health Literacy Instrument scale) should be considered on the basis of this study.
ABSTRACT
Background:Currently, usability assessments of home connected medical devices do not systematically take into account learnability metrics. In case of the Smart Angel device-designed for monitoring ambulatory surgery patients-users are trained at the hospital and have to use the device at home to monitor their health remotely. Objective:The aim of this study was to better understand the relationships between two metrics of usability-efficiency and effectiveness-and learnability of the Smart Angel device. Materials and Methods:Twenty-eight participants were trained in a simulated hospital (SimUsanté), and then we filmed the participant using the device three times. Between each session, the participant had to complete questionnaires (sociodemographic and health literacy). Results:The results of a between-subject analysis [χ2(2) = 18.969, p < 0.001] and a within-subject analysis [F(2.28) = 13.34, p < 0.001, η2 = 0.35] showed that efficiency (manipulation time) significantly improved with learnability (number of sessions). Conversely, effectiveness (number of manipulation errors) stagnated over the three sessions with a between-subject analysis [F(2.75) = 1.628, p = 0.203], while the within-subject analysis revealed that users seemed to significantly correct their errors with the number of sessions [F(2.28) = 6, p = 0.005, η2 = 0.19]. By analyzing the errors, we observed that some errors could appear at any time (e.g., moving during the measurement) and others were systematic (e.g., the wrist blood pressure on the right arm).Conclusions:While the "first attempt" at using a home medical device is a major revealing step for the study of manipulation errors, learnability is an equally useful metric to include in usability studies, as well as in the very definition itself of usability.
