5 research outputs found

    The impact of digital health technologies on tuberculosis treatment : a systematic review

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    Digital technologies are increasingly harnessed to support treatment of persons with tuberculosis (TB). Since in-person directly observed treatment (DOT) can be resource intensive and challenging to implement, these technologies may have the potential to improve adherence and clinical outcomes. We reviewed the effect of these technologies on TB treatment adherence and patient outcomes. We searched several bibliographical databases for studies reporting the effect of digital interventions, including short message service (SMS), video-observed therapy (VOT) and medication monitors (MMs), to support treatment for active TB. Only studies with a control group and which reported effect estimates were included. Four trials showed no statistically significant effect on treatment completion when SMS was added to standard care. Two observational studies of VOT reported comparable treatment completion rates when compared with in-person DOT. MMs increased the probability of cure (RR 2.3, 95% CI 1.6-3.4) in one observational study, and one trial reported a statistically significant reduction in missed treatment doses relative to standard care (adjusted means ratio 0.58, 95% CI 0.42-0.79). Evidence of the effect of digital technologies to improve TB care remains limited. More studies of better quality are needed to determine how such technologies can enhance programme performance

    Orthorexia nervosa: replication and validation of the ORTO questionnaires translated into Greek in a survey of 848 Greek individuals

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    Purpose: The present study aimed to validate the ORTO-15 questionnaire for orthorexia nervosa (ON), translated by our group into the Greek language, and replicate the findings of the recently proposed 6-item ORTO-R. Methods: The tool was translated into the Greek language (ORTO-15-GR) using the forward–backward–forward method. A total of 848 adults participated in the validation study by filling in the questionnaires and providing general characteristics (age, gender, educational level, body weight, and height). The internal consistency of the tool was assessed by the omega (ω) coefficient, and confirmatory factor analyses (CFA) examined its factorial structure. Using the original six items of the ORTO-15 tool, a separate CFA model examined the factorial structure of the proposed ORTO-R tool. Furthermore, regression models tested the association of ORTO-R with study variables. Results: For ORTO-15-GR, the omega coefficient was 0.70 and for the ORTO-R 0.65. For the latter, the CFA revealed acceptable goodness-of-fit (standardized factor loadings from 0.36 to 0.64); however, all ORTO-15 models were characterized by a poor fit. In addition, there was a negative association between ORTO-R score and female gender, body mass index (BMI), and having a nutrition-related health problem. Conclusion: The replication of ORTO-R indicates that it is a reliable tool in the field of ON. Therefore, the use of a 6-item questionnaire for ON assessment appears promising in research and clinical settings

    Orthorexia nervosa: replication and validation of the ORTO questionnaires translated into Greek in a survey of 848 Greek individuals

    No full text
    Purpose: The present study aimed to validate the ORTO-15 questionnaire for orthorexia nervosa (ON), translated by our group into the Greek language, and replicate the findings of the recently proposed 6-item ORTO-R. Methods: The tool was translated into the Greek language (ORTO-15-GR) using the forward–backward–forward method. A total of 848 adults participated in the validation study by filling in the questionnaires and providing general characteristics (age, gender, educational level, body weight, and height). The internal consistency of the tool was assessed by the omega (ω) coefficient, and confirmatory factor analyses (CFA) examined its factorial structure. Using the original six items of the ORTO-15 tool, a separate CFA model examined the factorial structure of the proposed ORTO-R tool. Furthermore, regression models tested the association of ORTO-R with study variables. Results: For ORTO-15-GR, the omega coefficient was 0.70 and for the ORTO-R 0.65. For the latter, the CFA revealed acceptable goodness-of-fit (standardized factor loadings from 0.36 to 0.64); however, all ORTO-15 models were characterized by a poor fit. In addition, there was a negative association between ORTO-R score and female gender, body mass index (BMI), and having a nutrition-related health problem. Conclusion: The replication of ORTO-R indicates that it is a reliable tool in the field of ON. Therefore, the use of a 6-item questionnaire for ON assessment appears promising in research and clinical settings. © 2022, Hellenic Endocrine Society
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