Literature DB >> 31670614

Videoconferences and Treatment of Depression: Satisfaction Score Correlated with Number of Sessions Attended but Not with Age.

Lone Fisker Christensen1,2,3, Frederik Alkier Gildberg4, Christian Sibbersen5, Mette Maria Skjoeth6,7, Connie Thuroe Nielsen2,8, Jens Peter Hansen1,3,4.   

Abstract

Aim: To investigate whether there is a correlation between age and satisfaction with the use of videoconferences (VCs) and whether the number of video sessions had an impact on satisfaction.
Methods: This study was a subanalysis of the joint European project, MasterMind, and participants were recruited from15 pilot studies in 11 different countries. The Client Satisfaction Questionnaire 8 (CSQ 8) was used as assessment tool, and scores were summed to give total scores.
Results: Participants were included if they had filled out the CSQ 8 questionnaire and demographic data were available. This resulted in a total of 199 participants. We found that the total score was not significantly correlated with age (Spearman's rho = -0.0415, p = 0.563) and gender (Wilcoxon W = 5,066, p = 0.409). There was a significant positive correlation between number of sessions attended (Spearman's rho = 0.5777, p < 0.001) and total score after adjusting for age, gender, region, symptoms score, and education level in a multiple linear regression model (coefficient = 0.170, SE = 0.059, p = 0.004). Excluded responders were significantly younger than included responders, had lower symptoms score, attended fewer sessions, had a higher education, and were more likely to be employed. Conclusions: VC satisfaction scores in patients with unipolar depression do not depend on age but increase with experience in all age groups.

Entities:  

Keywords:  age; depression; e-Health; satisfaction; telehealth; telemedicine; videoconferences

Mesh:

Year:  2019        PMID: 31670614     DOI: 10.1089/tmj.2019.0129

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  2 in total

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Journal:  Am J Transl Res       Date:  2021-05-15       Impact factor: 4.060

2.  The most used questionnaires for evaluating telemedicine services.

Authors:  Sadrieh Hajesmaeel-Gohari; Kambiz Bahaadinbeigy
Journal:  BMC Med Inform Decis Mak       Date:  2021-02-02       Impact factor: 2.796

  2 in total

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