Personal stigma, determinants of intention to use technology, and acceptance of internet-based psychological interventions for depression

Lamela, Diogo; Cabral, Joana I.T.A.; Coelho, Sara Ferreira; Jongenelen, Inês

doi:10.1016/j.ijmedinf.2020.104076

Cited by 15 publications

(7 citation statements)

References 40 publications

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“…In the present study, the mean DSS-Personal scale among Chinese medical students was 13.71 ± 5.35, which was higher than previously published scores for Chilean adolescents (11.9 ± 4.8) [ 31 ] and for community adults in Portugal (12.71 ± 5.52) [ 32 ]. This finding suggests that the level of personal depression stigma among Chinese medical students is relatively high.…”

Section: Discussioncontrasting

confidence: 92%

Predictors of personal depression stigma in medical students in China: differences in male and female groups

Qiu

Feng

Luo

et al. 2022

Medical Education Online

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Depression is common worldwide, and stigmatizing attitudes toward depression have proved to be one of the major barriers to seeking professional help. The purpose of this study was to evaluate the level of personal depression stigma and identify its predictive factors among medical students in Hainan, China, as well as explore the gender difference. A total of 2,186 medical students were recruited using stratified random cluster sampling and interviewed by structured anonymous questionnaires. Personal stigma was measured by the standardized Depression Stigma Scale (DSS). Multivariate linear regression models were used to identify predictors of stigma, and the interactions between gender and each predictor were included to test its gender difference. The mean score on DSS Scale was 13.71 ± 5.35, with males significantly higher than females (14.85 vs 12.99, P < 0.0001). Compared to females, males were more likely to agree with ‘I would not vote for a class cadre if I knew they had been depressed’ and ‘I would not make friends with him if I knew he had been depressed’. Multivariate linear regression analysis revealed that males’ personal stigma was predicted by being only child ( ß = 1.01, P = 0.0083), moderate-to-severe depression ( ß = 1.12, P = 0.0302), and lower self-rated academic core competitiveness (Competitive: ß = 1.29, P = 0.0088, Not at all/Somewhat competitive: ß = 1.04, P = 0.0381), while females’ personal stigma was only associated with moderate-to-severe depression ( ß = 1.75, P < 0.0001). Significant interactions were found between gender and self-rated academic core competitiveness. Stigmatizing attitudes toward depression were prevalent among Chinese medical students, especially male students. Gender differences were found in the predictors of stigma. Effective measures must be taken to reduce the stigma of mental health among Chinese medical students.

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Section: Discussioncontrasting

confidence: 92%

Predictors of personal depression stigma in medical students in China: differences in male and female groups

Qiu

Feng

Luo

et al. 2022

Medical Education Online

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“…Nysveen et al (2020) highlights that users are becoming more accepting of changes relating to technology. Moreover, the result may be due to psychological acceptance towards technology has increased in recent times (Lamela et al, 2020). The results concerning inertia also explains that cognitive misperception partially failed to create resistance in adopting AIVA.…”

Section: Discussionmentioning

confidence: 92%

Enablers and Inhibitors of AI-Powered Voice Assistants: A Dual-Factor Approach by Integrating the Status Quo Bias and Technology Acceptance Model

et al. 2021

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This study investigates the factors that build resistance and attitude towards AI voice assistants (AIVA). A theoretical model is proposed using the dual-factor framework by integrating status quo bias factors (sunk cost, regret avoidance, inertia, perceived value, switching costs, and perceived threat) and Technology Acceptance Model (TAM; perceived ease of use and perceived usefulness) variables. The study model investigates the relationship between the status quo factors and resistance towards adoption of AIVA, and the relationship between TAM factors and attitudes towards AIVA. A sample of four hundred and twenty was analysed using structural equation modeling to investigate the proposed hypotheses. The results indicate an insignificant relationship between inertia and resistance to AIVA. Perceived value was found to have a negative but significant relationship with resistance to AIVA. Further, the study also found that inertia significantly differs across gender (male/female) and age groupings. The study's framework and results are posited as adding value to the extant literature and practice, directly related to status quo bias theory, dual-factor model and TAM.

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“…Common reasons for refusal include lack of trust in the treatment and fear of social consequences of help-seeking (15). The personal stigma associated with depression is also a barrier to seeking professional help (16).…”

Section: Local Cross-sectional Findings Amidst Covid-19 Pandemicmentioning

confidence: 99%

Effects of Transcranial Pulse Stimulation (TPS) on Young Adults With Symptom of Depression: A Pilot Randomised Controlled Trial Protocol

Cheung

Yeung

et al. 2022

Front. Neurol.

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BackgroundSince the emergence of the COVID-19 pandemic, there have been lots of published work examining the association between COVID-19 and mental health, particularly, anxiety and depression in the general populations and disease subpopulations globally. Depression is a debilitating disorder affecting individuals' level of bio-psychological-social functioning across different age groups. Since almost all studies were cross-sectional studies, there seems to be a lack of robust, large-scale, and technological-based interventional studies to restore the general public's optimal psychosocial wellbeing amidst the COVID-19 pandemic. Transcranial pulse stimulation (TPS) is a relatively new non-intrusive brain stimulation (NIBS) technology, and only a paucity of studies was conducted related to the TPS treatment on older adults with mild neurocognitive disorders. However, there is by far no study conducted on young adults with major depressive disorder nationwide. This gives us the impetus to execute the first nationwide study evaluating the efficacy of TPS on the treatment of depression among young adults in Hong Kong.MethodsThis study proposes a two-armed single-blinded randomised controlled trial including TPS as an intervention group and a waitlist control group. Both groups will be measured at baseline (T1), immediately after the intervention (T2), and at the 3- month follow-up (T3).RecruitmentA total of 30 community-dwelling subjects who are aged 18 and above and diagnosed with major depressive disorder (MDD) will be recruited in this study. All subjects will be computer randomised into either the intervention group or the waitlist control group, balanced by gender and age on a 1:1 ratio.InterventionAll subjects in each group will have to undertake functional MRI (fMRI) before and after six 30-min TPS sessions, which will be completed in 2 weeks' time.OutcomesBaseline measurements and post-TPS evaluation of the psychological outcomes (i.e., depression, cognition, anhedonia, and instrumental activities of daily living) will also be conducted on all participants. A 3-month follow-up period will be usedto assess the long-term sustainability of the TPS intervention. For statistical analysis, ANOVA with repeated measures will be used to analyse data. Missing data were managed by multiple mutations. The level of significance will be set to p < 0.05.Significance of the StudyResults of this study will be used to inform health policy to determine whether TPS could be considered as a top treatment option for MDD.Clinical Trial RegistrationClinicalTrials.gov, identifier: NCT05006365.

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Personal stigma, determinants of intention to use technology, and acceptance of internet-based psychological interventions for depression

Cited by 15 publications

References 40 publications

Predictors of personal depression stigma in medical students in China: differences in male and female groups

Predictors of personal depression stigma in medical students in China: differences in male and female groups

Enablers and Inhibitors of AI-Powered Voice Assistants: A Dual-Factor Approach by Integrating the Status Quo Bias and Technology Acceptance Model

Effects of Transcranial Pulse Stimulation (TPS) on Young Adults With Symptom of Depression: A Pilot Randomised Controlled Trial Protocol

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