Internet Interventions-The Application of Information Technology in Mental and Behavioural Health最新文献

Previous research has identified maladaptive emotion regulation as a key factor in psychopathology. Thus, addressing emotion regulation via scalable, low-threshold digital interventions – such as smartphone-based Cognitive Bias Modification (CBM) – holds important therapeutic potential. Using a randomized-controlled crossover trial, we tested the efficacy of an integrated CBM module within the Affect Regulation Training (ART, i.e., CBM-ART) that targeted emotion regulation through elements of appraisal-based and approach avoidance training.

Undergraduate students reporting elevated stress were randomized to a one-week active intervention (Mindgames; including psychoeducation, a quiz, and CBM-ART; n = 40), active control training (Emo Shape; including placebo psychoeducation, a quiz, and a placebo swiping task; n = 36) or waitlist (n = 25). Before and after the intervention, we assessed emotion regulation, interpretation bias, stress and depression. We further tested post-training stress reactivity using an anagram task.

Results indicated that the active intervention improved negative (OR = 0.35) and positive (OR = 2.40) interpretation biases and symptom measures (d = 0.52–0.87). However, active control training showed attenuated concurrent pre-post changes on interpretation biases (i.e., OR = 0.53 for negative, and OR = 1.49 for positive interpretations) and symptom measures (d = 0.26–0.91). The active intervention was rated positively in terms of acceptability and usability.

These findings provide initial evidence for the efficacy and acceptability of an integrated app-based CBM intervention for emotion regulation in reducing interpretation biases and psychopathological symptoms, including stress. However, future studies should disentangle specific mechanisms underlying interventional effects.

eHealth lifestyle interventions without human support (self-help interventions) are generally less effective, as they suffer from lower adherence levels. To solve this, we investigated whether (1) using a text-based conversational agent (TCA) and applying human cues contribute to a working alliance with the TCA, and whether (2) adding human cues and establishing a positive working alliance increase intervention adherence. Participants (N = 121) followed a TCA-supported app-based physical activity intervention. We manipulated two types of human cues: visual (ie, message appearance) and relational (ie, message content). We employed a 2 (visual cues: yes, no) x 2 (relational cues: yes, no) between-subjects design, resulting in four experimental groups: (1) visual and relational cues, (2) visual cues only, (3) relational cues only, or (4) no human cues. We measured the working alliance with the Working Alliance Inventory Short Revised form and intervention adherence as the number of days participants responded to the TCA's messages. Contrary to expectations, the working alliance was unaffected by using human cues. Working alliance was positively related to adherence (t(78) = 3.606, p = .001). Furthermore, groups who received visual cues showed lower adherence levels compared to those who received relational cues only or no cues (U = 1140.5, z = −3.520, p < .001). We replicated the finding that establishing a working alliance contributes to intervention adherence, independently of the use of human cues in a TCA. However, we were unable to show that adding human cues impacted the working alliance and increased adherence. The results indicate that adding visual cues to a TCA may even negatively affect adherence, possibly because it may create confusion concerning the true nature of the coach, which may prompt unrealistic expectations.

This study investigated the long-term effectiveness and cost-effectiveness of guided internet-based cognitive behavioral therapy (ICBT) for obsessive-compulsive disorder (OCD). Twenty-five patients with OCD who had undergone guided ICBT in a randomized controlled trial or a single-arm trial were followed up for 6, 12, and 24 months. Missing data were imputed using the mice package in R, and a one-way analysis of variance with repeated measures was performed. The total Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) score significantly decreased from baseline to all endpoints (p < 0.001). OCD remission (the total Y-BOCS score < 14) rates significantly increased from post-treatment (48 %) at the 12 months (80 %) and 24 months (76 %) follow-up (χ2 (1) = 7.11–11.08, p < 0.01) post guided ICBT. Regression analysis predicted the maintenance of remission at 12 and 24 months following post-treatment remission (z = 2.20, p = 0.03). An incremental cost-effectiveness ratio was calculated to assess the cost-effectiveness of guided ICBT. The incremental cost-effectiveness ratio was JPY 999,495, below the JPY 5 million threshold for willingness to pay in Japan. Our findings demonstrate the long-term effectiveness and cost-effectiveness of guided ICBT for OCD. Guided ICBT can mitigate the severity of OCD even after treatment.

Background

Internet-based interventions offer a way to meet the high demand for psychological support. However, this setting also has disadvantages, such as the lack of personal contact and the limited ability to respond to crises. Blended care combines Internet-based interventions with face-to-face psychotherapy and merges the benefits of both settings. To ensure the uptake of blended care in routine care, Internet-based interventions need to be suitable for different therapeutic approaches and mental disorders.

Objective

This paper describes the participatory development process of the Internet-based intervention “TONI” using a common therapeutic language and content on various transdiagnostic topics to be integrated into routine outpatient psychotherapy.

Methods

To develop this intervention in a participatory manner, we followed the Integrate, Design, Assess, and Share (IDEAS) framework. In a multilevel development process, we used a combination of interviews, focus groups, and proofreading to optimally tailor online modules to routine outpatient psychotherapy. Building on well-established cognitive-behavioral online content, we included expert interviews with psychodynamic (n = 20) and systemic psychotherapists (n = 9) as well as focus groups with psychotherapists of different approaches (n = 10) and persons with lived experience of mental illness (PWLE; n = 10).

Results

We describe the development process of TONI step-by-step, outlining the specific requirements that therapists from different therapeutic approaches as well as PWLE have and how we implemented them in our intervention. This includes the content and specific exercises in the online modules, aspects of data protection, language, design, and usability.

Conclusion

Internet-based interventions that use a common therapeutic language and address therapeutic principles across different approaches have the potential to advance digitalization in psychotherapy. Involving psychotherapists and PWLE in intervention development may positively impact acceptance and usage in practice. This study shows how participatory intervention development involving both psychotherapists and PWLE can be carried out.

Internet-based interventions are recognised as a practical approach to address mental health issues. The acceptance and utilisation of such interventions are closely linked to user attitudes and preferences. This study aims to examine the predictors of university students' attitudes towards internet-based interventions. Additionally, it seeks to elucidate students' preferences regarding crucial features of these interventions, such as the format, delivery mode, content type, and structural components, to understand better what makes these interventions appealing and practical for university students.

A total of 273 university students (comprising 68 % females and 32 % males) participated in the study. The data collection instruments employed were the Personal Information Form, Internet-Based Intervention Preference Survey, E-therapy Attitude Measure (ETAM), Digital Literacy Scale, Patient Health Questionnaire-9, and the Generalized Anxiety Disorder-7 (GAD-7). The data were analysed utilising descriptive statistics, Pearson correlation analysis, and multiple linear regression analysis.

The multiple regression analysis revealed digital literacy as a predictive factor for attitudes towards internet-based interventions. Demographic variables, such as age and gender, and psychological variables, such as depression and anxiety levels, were found not to be associated with attitudes towards these interventions.

While students are actively seeking mental health information online, a significant majority remain unaware of internet-based interventions. They show a preference for interventions offering greater human interaction, including face-to-face guidance and video content featuring people. Participants favour completing one or two sessions of the intervention weekly. Desired features of internet-based interventions include self-assessment scales, relatable characters, voice relaxation exercises, practical daily life activity tasks, and weekly reminders throughout the process.

In conclusion, initiatives aimed at enhancing digital literacy levels could foster more positive attitudes towards internet-based interventions among students. Developers creating Internet-Based Interventions (IBI) for university students should consider these preferences.

Despite the potential of mobile health (mHealth) to address high rates of depression and anxiety in underserved rural communities, most mHealth interventions do not explicitly consider the realities of rural life. The aim of this scoping review is to identify and examine the available literature on mHealth interventions that consider the needs of rural populations in order to gauge their feasibility and utility for addressing depression and anxiety. Additionally, we provide an overview of rural users' perceptions about and preferences for mHealth-delivered mental health screening and intervention systems. Out of 169 articles identified, 16 met inclusion criteria. Studies were conducted across a wide range of countries, age groups, and rural subpopulations including individuals with bipolar disorder, anxiety, perinatal depression, PTSD, and chronic pain, as well as refugees, veterans, and transgender and LGBTQ+ individuals. All interventions were in the feasibility/acceptability testing stage for rural users. Identified strengths included their simplicity, accessibility, convenience, availability of support between sessions with providers, and remote access to a care team. Weaknesses included problems with charging phone batteries and exceeding data limits, privacy concerns, and general lack of comfort with app-based support. Based upon this review, we provide recommendations for future mHealth intervention development including the value of developer-user coproduction methods, the need to consider user variation in access to and comfort with smartphones, and potential data or connectivity limitations, mental health stigma, and confidentiality concerns in rural communities.

Background

Loneliness is a widespread phenomenon associated with a number of negative health outcomes. Older individuals may constitute one important target group with a need for effective interventions. However, despite evidence showing that addressing maladaptive social cognition (e.g., via cognitive behavioral therapy [CBT]) is the most effective intervention strategy for reducing loneliness, most existing programs aimed at older individuals do not use that method. Further, in terms of mental health service use, older individuals have been found to be an extremely undertreated population. When developing interventions, active involvement of end users in the development process is essential to increase later uptake.

Objective

The aim of the present study was to develop an internet-based CBT intervention for loneliness in older individuals (i.e., aged ≥65 years) applying a user-centered design. The present report provides an in-depth description of the development process.

Methods

Two phases of qualitative data collection were conducted in parallel with intervention development using a sample of N = 12 participants including both potential end users (i.e., older adults) as well as experts (i.e., psychotherapists). Measures included semi-structured interviews and usability testing.

Results

In Phase 1 interviews, participants indicated that they were predominantly positive about the idea of an internet-based program for loneliness targeting older individuals. Individualization and interactivity were named as crucial features. In Phase 2, usability testing of a prototype program provided important insights into technical barriers to intervention use. Further, participants reported that they were missing content on philosophy/theology and the role of descendants/relatives. Valuable insights from Phase 1 and Phase 2 were incorporated into the intervention program resulting in a 7-module internet-based self-help CBT intervention.

Discussion

Findings of this study highlight the significance of including relevant stakeholders in the development process of an intervention. Additionally, results emphasize the high acceptance of internet-based interventions in this population, but also underline the need for considering age-specific aspects when developing treatments.

Background

Following discharge, it is crucial for patients to transfer intentions and action plans from inpatient rehabilitation into everyday life. This ensures their reintegration into social and working life and prevents economic costs due to sick leave or reduced earning capacity pension. However, most established aftercare programs do not specifically address occupational problems or challenges during occupational measures such as graded return to work. The aim of this study is to evaluate the efficacy of the low-threshold online self-help intervention marena (Meine Arbeitsbezogene Reha-Nachsorge - My Work-related Rehabilitation Aftercare) to support return to work.

Methods

A two-arm randomized-controlled-trial (RCT) will be conducted. A total of N = 400 rehabilitation inpatients across different indication areas (psychosomatic, orthopedic, or cardiologic) aged 18 to 65 years with a planned return to work after medical rehabilitation, have a heightened social-medical risk and private internet access and are insured with the German Pension insurance or statutory health insurance, will be recruited in four medical and psychosomatic clinics in Germany. Participants will be allocated to either the intervention (IG) or the control group (CG). In a stepped-care model, participants of the IG will receive access to the non-guided internet- and mobile-based intervention marena (IG subgroup 1) or marena in combination with GSA-Online plus (IG subgroup 2), a guided psychodynamic internet-based intervention that has proven effective in two trials regarding occupational and health objectives. Based on a priori defined indication criteria, clinic staff will recommend either IG subgroup 1 or IG subgroup 2. The CG will receive optimized treatment as usual with access to a survey feature within marena. The primary outcome will be work status after 6 months (T2) and 12 months (T4). The endpoint at 12 months (T4) after discharge from inpatient rehabilitation will be considered as secondary endpoint. Work status is defined as positive if the participant is working and has ≤ 6 weeks of sick leave at T2 and ≤ 12 weeks of sick leave at T4. Secondary outcomes include successful completion of graded return to work, successful application for benefits for participation in working life, current work ability, social-medical risk, subjective prognosis of future employment, quality of life, somatic symptoms, coping, social support, depression, anxiety, and psychosocial stress.

Discussion

This study will contribute to the evidence concerning efficacy of online aftercare interventions. If proven efficacious, marena could provide an individualized and adaptable self-help approach to promote return to work following inpatient rehabilitation.

Background

Within Canada, internet-delivered cognitive behavioural therapy (ICBT) has recently been tailored by PSPNET to meet the needs of public safety personnel (PSP) to help address high rates of mental health problems within this population. Perceptions and outcomes of ICBT among PSP are promising, but it remains unknown how PSPNET is perceived by PSP organizational leaders. It is important to assess this gap because these leaders have significant potential to influence the uptake of ICBT.

Methods

In the current study, PSP leaders (n = 10) were interviewed to examine their perceptions of PSPNET and opportunities to improve ICBT implementation. The RE-AIM evaluation framework was used to assess PSP leaders' perceptions of PSPNET in terms of reach, effectiveness, adoption, implementation, and maintenance.

Results

The results evidenced that leaders perceived PSPNET as effective in reaching and serving PSP and PSP organizations. PSP leaders reported perceiving ICBT as effectively implemented, especially for being freely offered to individual PSP and for improving PSP's access to experienced therapists specifically trained to work with PSP. Participants indicated organizations have promoted and will continue promoting PSPNET longer-term, facilitating adoption and maintenance. Factors perceived as facilitating successful service delivery included building relationships and trust with PSP organizations and general support for PSP leadership mental health initiatives. PSP leaders identified perceived areas for improving ICBT implementation (e.g., ensuring leaders have access to data on PSPNET uptake and outcomes, creating promotional videos, expanding availability of PSPNET to other provinces, offering additional options for receiving therapist support).

Implications

Overall, the study provides insights into PSP leaders' perceptions of the implementation of ICBT among PSP and ideas for optimizing implementation efforts.

Background

Temstem is a smartphone app developed with and for clinical voice hearing individuals with the aim to reduce their voice hearing distress and improve social functioning.

Methods

A randomized controlled trial with adult outpatients suffering from distressing and frequent auditory verbal hallucinations (AVH) was conducted. Participants were randomized to unguided ‘Temstem+AVH monitoring’ or unguided ‘AVH monitoring only’ (control condition). Assessments were performed at baseline, post-intervention (week 5–6), and follow-up (week 9–10). Primary outcomes were voice hearing distress and social functioning, as measured with Experience Sampling Method (ESM), consisting of multiple daily questionnaires during six days. In addition, voices and mood were self-monitored with help of a daily reflective questionnaire. Analyses were linear regression models (intention-to-treat).

Results

44 Participants were allocated to Temstem and 45 to the control condition. No significant differences between the groups were found on both primary outcomes.

Conclusion

Our results do not support the effectiveness of stand-alone use of Temstem versus symptom monitoring on voice hearing distress or social functioning in voice hearing individuals. In order to potentially improve effectiveness of an mHealth tool in a population of people with frequent and distressing voices, we recommend to involve persons with lived experience in all stages of development and research; to thoroughly test the (technological) usability before performing an RCT; to test whether guidance of a therapist is needed to optimize effectiveness; and to provide prompts to remind the user to actually use the tool.