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

Symptom mapping and personalized care for depression, anxiety and stress: A data-driven AI approach

BACKGROUND

Depression, anxiety, and stress disorders have significant and widespread impacts worldwide, affecting millions of individuals and their communities. According to the World Health Organization, depression impacts the daily lives of more than 300 million people, making it one of the most important diseases globally. Treatment for these mental disorders (MD) typically involves medication and psychotherapies, but also incorporates technological resources like Artificial Intelligence (AI) to indicate personalized therapies and care. While various AI approaches have been applied in the context of MD in the literature, they often focus solely on aiding diagnosis.

OBJECTIVE

This research proposes an AI approach for mapping symptoms and assisting in the personalized care of depression, anxiety, and stress.

METHODS

Symptom mapping utilizes data mining (DM) techniques to generate rules representing knowledge extracted from data of 242 patients collected using the Depression, Anxiety, and Stress Scale (DASS-21). This knowledge elucidates how symptoms impact the severity degrees of considered MDs. Subsequently, the generated rules are employed to construct a Fuzzy Inference System (FIS) for inferring the severities of MDs based on patient symptoms and personal data.

RESULTS AND CONCLUSIONS

The results achieved in the DM (accuracy ≥92.98 %, sensibility ≥86.02 %, specificity ≥97.32 %, and kappa statistic ≥87.98 %), indicating consistent patterns, along with the results produced by the FIS, demonstrate the potential of the proposed approach to assist health professionals in rapidly predicting symptoms of depression, anxiety, and stress, thereby facilitating outpatient screening and emergency care. Furthermore, it can improve the association of symptoms, referral to specialized care, therapeutic proposals, and even investigations of other diseases unrelated to MD.

"I don't have time": an exploration of the role of time pressures in acceptance of internet interventions for mental health

BACKGROUND

Internet interventions for common mental disorders are widely available, effective, and economical, yet community uptake remains low. One consistently cited reason for not engaging in mental health interventions is lack of time.

AIMS

This research examined whether lack of time as a rationale for not using online interventions reflects real time scarcity, and whether time availability impacts intention to use interventions.

METHODS

A nationally representative sample (N = 1094, 51% women) reported their time use in activity categories for a typical week. Participants rated their acceptance and likelihood of use of mental health internet interventions, and completed mental health symptom, help-seeking and stigma measures.

RESULTS

Amount of leisure time reported by participants was not associated with acceptance or likelihood of use of internet interventions for mental health. However, respondents who worked longer hours ranked time and effort factors as more influential in their intention to use internet-based mental health programs. Younger respondents and those with greater help-seeking attitudes reported higher acceptance of use.

CONCLUSION

These findings suggest lack of time is not a direct barrier to use of internet interventions, and that perceived time scarcity may be masking real barriers to uptake.

Stigmatizing attitudes toward mental disorders among non-mental health nurses in general hospitals of China: a national survey

Background

Negative attitudes of nurses toward mental disorders have been reported in various countries. Nurses' stigmatizing attitudes can harm patients with mental disorders (PWMD), thereby delaying the provision of help to patients and leading to decreased quality of care. In this study, we aimed to assess Chinese nurses' stigmatizing attitudes toward patients with mental illness and provide a basis for future development and testing of appropriate and culturally adapted interventions to reduce it.

Objective

This study aimed to assess the attitudes of Non-mental Health Nurses (NMHNs) in general hospitals in China toward the stigma of PWMD and determine the factors influencing them.

Methods

A cross-sectional survey of NMHNs in general hospitals were conducted. A self-designed WeChat-based questionnaire was used that included demographic information about the need for training on mental health issues. Participants were provided with a vignette of a depression case with suicidal thoughts. The Depression Stigma Scale (DSS) and Social Distance Scale (SDS) were used to assess attitudes toward mental disorders. Nine questions on the adequacy of knowledge about anxiety and depression and the current status of scale use were used to assess the current status of training needs for mental disorders. Descriptive analysis, chi-square test, and multivariate logistic regression were used for the table.

Results

A total of 8,254 nurses in non-mental health professions participated in this study. The mean DSS score of NMHNs was (17.24 ± 6.700), and the SDS score was (10.34 ± 3.154). The total detection rate of stigma among the survey respondents was 13.40% (1,107/8254). Multivariate logistic regression showed that age between 30 and 39 years [p = 0.001, OR = 1.427 (1.154-1.764)], 4 years of work experience and above [p = 0.018, OR = 1.377 (1.056-1.796)], having a bachelor's degree [p < 0.001, OR = 0.742 (0.647-0.851)], adequate psychological knowledge [p < 0.001, OR = 1.567 (1.364-1.799)], full knowledge of communication with patients with anxiety and depression [p < 0.001, OR = 1.848 (1.389-2.459)], and the need to acquire skills to identify anxiety and depression were the influencing factors associated with stigma [p < 0.001, OR = 0.343 (0.236-0.499)].

Conclusion

Stigmatizing attitudes toward PWMD exist among NMHNs in general hospitals in China. Thus, more mental health education programs for NMHNs are needed. Factors associated with higher morbidity stigma can be used to develop appropriate interventions to improve NMHNs' stigmatizing attitudes and provide better quality care to PWMD.

Connected Mental Health Solutions: Global Attitudes, Preferences, and Concerns

Background: Connected mental health (CMH) presents several technology-based solutions, which can help overcome many mental care delivery barriers. However, attitudes toward the use of CMH are diverse and differ from a cohort to another. Objective: The purpose of this study is to investigate the global attitudes toward CMH use and assess the use of technology for mental care. Methods: This study presents a synthesis of literature available in Scopus, Science Direct, and PubMed digital libraries, investigating attitudes toward CMH in different cohorts from different countries, based on a systematic review of relevant publications. This study also analyzes technology use patterns of the cohorts investigated, the reported preferred criteria that should be considered in CMH, and issues and concerns regarding CMH use. Results: One hundred and one publications were selected and analyzed. These publications were originated from different countries, with the majority (n = 23) being conducted in Australia. These studies reported positive attitudes of investigated cohorts toward CMH use and high technology use and ownership. Several preferred criteria were reported, mainly revolving around providing blended care functionalities, educational content, and mental health professionals (MHPs) support. Whereas concerns and issues related to CMH use addressed technical problems related to access to technology and to CMH solutions, the digital divide, lack of knowledge and use of CMH, and general reservations to use CMH. Concerns related to institutional and work barriers were also identified. Conclusions: Attitudes toward CMH show promising results from users and MHP views. However, factors such as providing blended care options and considering technical concerns should be taken into consideration for the successful adoption of CMH.

Stigmatized experience is associated with exacerbated pain perception in depressed patients

Patients with depression not only have to cope with depressive and physical symptoms but also face stigmatization due to mental illness. Pain is a clinical symptom of many patients with depression. However, it is unclear whether stigmatized experience associated with mental illness directly affects depressed patients' pain perception. Here, using the event reflection task, Study 1 (N = 95) examined whether stigmatized experiences due to depression would affect patients' self-reported pain assessment. Study 2 (N = 43) further employed thermal stimuli at different intensities to examine whether stigmatization would affect patients' evoked pain. We found that patients with depression who experienced stigmatization based on mental illness reported higher pain catastrophizing and performed increased pain perception for noxious stimuli than those who did not. Our studies provide first-hand experimental evidence of the effect of stigmatized experiences on depressed patients' pain perception. The findings contribute insights for improving clinical treatment, suggesting that interventions should minimize stigmatization associated with mental illness to help patients maintain healthier physical and psychological states.

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

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.

Factors influencing attitudes toward cyber-counseling among China's Generation Z: A structural equation model

Information technology developments have combined traditional face-to-face counseling with online- or cyber-counseling. As digital natives, Generation Z has easy access to cyber-counseling. However, their attitudes toward cyber-counseling remain unknown. This study explored these attitudes and relevant influencing factors among 1216 Chinese adolescents using self-report questionnaires. Descriptive analyses and structural equation modeling were used for data analysis. The model explained 27.7 % of the total variance, attitudes toward psychological help was the most influential, followed by attitudes toward the Internet and perceived behavioral control. The model was effective in explaining attitudes toward cyber-counseling, emphasizing the influence of attitudes toward psychological help.

Research on the MEG of Depression Patients Based on Multivariate Transfer Entropy

The pathogenesis of depression is complex, and the current means of medical diagnosis is single. Patients with severe depression may even have great physical pain and suicidal tendencies. Magnetoencephalography (MEG) has the characteristics of ultrahigh spatiotemporal resolution and safety. It is a good medical means for the diagnosis of depression. In this paper, multivariate transfer entropy algorithm is used to study MEG of depression. In this paper, the subjects are divided into the same brain region and the multichannel combination between different brain regions, and the multivariate transfer entropy of patients with depression and healthy controls under different EEG signal frequency bands is calculated. Finally, the significant difference between the two groups of experimental samples is verified by the results of independent sample t-test. The experimental results show that for the same combination of brain channels, the multivariate transfer entropy in the depression group is generally lower than that in the healthy control group, and the difference is the best in γ frequency band and the largest in the frontal region.

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

Background

Since 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.

Methods

This 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).

Recruitment

A 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.

Intervention

All 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.

Outcomes

Baseline 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 Study

Results 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 Registration

ClinicalTrials.gov, identifier: NCT05006365.

Assessing College Students' Perceptions of and Intentions to Use a Mobile App for Mental Health

Background: College students face high rates of depression, anxiety, and suicide. Therefore, the focus of this study was to examine college students' intention to use a mental health app provided by the university, called MySSP, through use of the unified theory of acceptance and use of technology (UTAUT). Materials and Methods: An online survey was developed based on responses to focus groups previously conducted by the authors regarding MySSP. A multiple linear regression was conducted to test the associations between the UTAUT variables and behavioral intention. In addition, moderation analyses were conducted to explore the effects of depression, anxiety, stigma, and quality of life as moderators. Results: Results suggest that performance expectancy (PE) (t = 3.088, p = 0.003) and social influence (SI) (t = -2.163, p = 0.03) were the only significant predictors of behavioral intention. The only significant moderator was stigma in the relationship between effort expectancy and behavioral intention (b = -1.6081, standard error (SE) = 0.7454, confidence interval (CI): -3.0691 to -0.1472) as well as facilitating conditions (FCs) and behavioral intention (b = -2.2292, SE = 0.8580, CI: -3.9110 to -0.5475). Conclusions: This study provides an initial exploration of college students' intentions to use MySSP. The results suggest that successful interventions include features related to PE (usefulness) and SI (norms), which should be focused on when developing and testing apps for mental health. Additionally, the stigma of mental health has significant negative impacts on the adoption of mental health apps and should be considered in implementation of mental health interventions geared toward college students.

Clinical and Cost-Effectiveness of PSYCHOnlineTHERAPY: Study Protocol of a Multicenter Blended Outpatient Psychotherapy Cluster Randomized Controlled Trial for Patients With Depressive and Anxiety Disorders

Introduction: Internet- and mobile-based interventions (IMIs) and their integration into routine psychotherapy (i.e., blended therapy) can offer a means of complementing psychotherapy in a flexible and resource optimized way. Objective: The present study will evaluate the non-inferiority, cost-effectiveness, and safety of two versions of integrated blended psychotherapy for depression and anxiety compared to standard cognitive behavioral therapy (CBT). Methods: A three-armed multicenter cluster-randomized controlled non-inferiority trial will be conducted comparing two implementations of blended psychotherapy (PSYCHOnlineTHERAPYfix/flex) compared to CBT. Seventy-five outpatient psychotherapists with a CBT-license will be randomized in a 1:1:1 ratio. Each of them is asked to include 12 patients on average with depressive or anxiety disorders resulting in a total sample size of N = 900. All patients receive up to a maximum of 16 psychotherapy sessions, either as routine CBT or alternating with Online self-help sessions (fix: 8/8; flex: 0-16). Assessments will be conducted at patient study inclusion (pre-treatment) and 6, 12, 18, and 24 weeks and 12 months post-inclusion. The primary outcome is depression and anxiety severity at 18 weeks post-inclusion (post-treatment) using the Patient Health Questionnaire Anxiety and Depression Scale. Secondary outcomes are depression and anxiety remission, treatment response, health-related quality of life, patient satisfaction, working alliance, psychotherapy adherence, and patient safety. Additionally, several potential moderators and mediators including patient characteristics and attitudes toward the interventions will be examined, complemented by ecological day-to-day digital behavior variables via passive smartphone sensing as part of an integrated smart-sensing sub-study. Data-analysis will be performed on an intention-to-treat basis with additional per-protocol analyses. In addition, cost-effectiveness and cost-utility analyses will be conducted from a societal and a public health care perspective. Additionally, qualitative interviews on acceptance, feasibility, and optimization potential will be conducted and analyzed. Discussion: PSYCHOnlineTHERAPY will provide evidence on blended psychotherapy in one of the largest ever conducted psychotherapy trials. If shown to be non-inferior and cost-effective, PSYCHOnlineTHERAPY has the potential to innovate psychotherapy in the near future by extending the ways of conducting psychotherapy. The rigorous health care services approach will facilitate a timely implementation of blended psychotherapy into standard care. Trial Registration: The trial is registered in the German Clinical Trials Register (DRKS00023973; date of registration: December 28th 2020).

Analysis of topics and characteristics of user reviews on different online psychological counseling methods

BACKGROUND

Psychological support is available more widely supported by emerging technologies as an addition to face-to-face consultations, more and more people are accessing psychological support using online resources.

OBJECTIVE

This research provides insights into the perception of the key factors that affect the effectiveness of different online psychological counseling methods through the user reviews of four online psychological counseling modes and the tendency to choose the different counseling methods for users with different psychological problems.

METHODS

Using topic modeling analysis, Gooseeker content analysis, and the TextMind Chinese psychological analysis system, we analyzed 163,377 online reviews from 2,375 psychological consultants extracted from a leading online psychological consultation platform in China.

RESULTS

(1) Telephone counseling gains the most preferences among users. Text counseling has strong privacy protection. Video and face-to-face consultations are more authentic and comprehensive. (2) Parent-child education consultation users are more likely to choose face-to-face consultation, patients with common mental illnesses are more inclined to choose online counseling methods than offline consultation, career planning consultation clients prefer video consultation, and text counseling is more consistent with the periodical characteristics of relationship counseling.

CONCLUSION

The research examined user reviews and used content analysis to understand patients' views on the effectiveness of online counseling methods, which supplement the current research gap through innovation in research methods.