Increasing the acceptance of internet-based mental health interventions in primary care patients with depressive symptoms. A randomized controlled trial

Psychometric properties of an online psychotherapy advantages and disadvantages instrument: Preliminary results of a multi-center pilot study

We verified the need for instruments that could assess the perceptions of patients, therapists, and psychotherapy supervisors about online Psychotherapy.

OBJECTIVES

to Build a scale of advantages and disadvantages of online psychotherapy.

METHOD

A pilot cross-sectional multicenter sample collected from 2020 to 2021 of 129 patients, 20 therapists, and 35 supervisors. We used several analyses. The final scale contained 22 items divided into two domains: advantages and disadvantages.

RESULTS

Cronbach's alpha showed good internal consistency (0.88 and 0.85). The scale showed discriminative ability. Convergent validity showed significant correlations between WAI-SR domains (p 〈0,001). The scale showed a good data fit in the confirmatory factor analysis (X2 = 255,859; DF = 197; p = .003; CFI = 0.95; RMSEA = 0.047; GFI = 0.84 TLI = 0.94).

CONCLUSION

This pilot study showed that the instrument proved preliminary good psychometric properties but needs to be evaluated in a larger sample.

A French-Language Web-Based Intervention Targeting Prolonged Grief Symptoms in People Who Are Bereaved and Separated: Randomized Controlled Trial

BACKGROUND

Losing a loved one, through death or separation, counts among the most stressful life events and is detrimental to health and well-being. About 15% of people show clinically significant difficulties coping with such an event. Web-based interventions (WBIs) are effective for a variety of mental health disorders, including prolonged grief. However, no validated WBI is available in French for treating prolonged grief symptoms.

OBJECTIVE

This study aimed to compare the efficacy and adherence rates of 2 WBIs for prolonged grief symptoms following the loss of a loved one through death or romantic separation.

METHODS

LIVIA 2.0 was developed relying on theoretical and empirical findings on bereavement processes and WBIs, and is compared with LIVIA 1, which has already demonstrated its efficacy. We conducted a randomized controlled trial and provided on-demand guidance to participants. Outcomes were assessed through web-based questionnaires before the intervention, after the intervention (12 weeks later), and at follow-up (24 weeks later). Primary outcomes were grief symptoms, depressive symptoms, and well-being. Secondary outcomes were anxiety symptoms, grief coping strategies, aspects related to self-identity, and program satisfaction.

RESULTS

In total, 62 participants were randomized (intent-to-treat [ITT] sample), 29 (47%) in LIVIA 2.0 (active arm) and 33 (53%) in LIVIA 1 (control arm). The dropout rate was 40% (37/62), and 10 participants were removed due to exclusion criteria, leading to a final per-protocol sample of 27 (44%) completers who differed from noncompleters only based on reporting fewer anxiety symptoms (t60=3.03; P=.004). Participants who are separated reported more grief symptoms (t60=2.22; P=.03) and attachment anxiety (t60=2.26; P=.03), compared to participants who are bereaved. There were pre-post within-group differences for both programs in the ITT sample, with significant reductions in grief (Cohen d=-0.90), depressive symptoms (Cohen d=-0.31), and centrality of the loss (Cohen d=-0.45). The same pattern was observed in the per-protocol sample, with the exception that anxiety symptoms also significantly diminished (Cohen d=-0.45). No difference was found in efficacy between the 2 programs (all P>.33). Participants (ITT sample) reported overall high levels of program satisfaction (mean 3.18, SD 0.54; over a maximum of 4). Effect stability was confirmed at the 6-month follow-up for all outcomes, with an improvement in self-concept clarity.

CONCLUSIONS

The 2 grief-related WBIs were effective in reducing grief, depressive and anxiety symptoms for participants who are bereaved or separated. The analyses did not reveal any pre-post between-group differences, suggesting that the innovations brought to LIVIA 2.0 did not significantly affect the outcome. However, caution is warranted with the interpretation of the results given the limited power of the sample, which only allows the detection of medium effect sizes.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05219760; https://clinicaltrials.gov/study/NCT05219760.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/39026.

Preferences Regarding Information Strategies for Digital Mental Health Interventions Among Medical Students: Discrete Choice Experiment

BACKGROUND

Digital mental health interventions (DMHIs) are capable of closing gaps in the prevention and therapy of common mental disorders. Despite their proven effectiveness and approval for prescription, use rates remain low. The reasons include a lack of familiarity and knowledge as well as lasting concerns. Medical students were shown to have a comparatively higher risk for common mental disorders and are thus an important target group for raising awareness about DMHIs. At best, knowledge is already imparted during medical school using context-sensitive information strategies. Yet, little is known about medical students' information preferences regarding DMHIs.

OBJECTIVE

This study aims to explore information preferences for DMHIs for personal use among medical students in Germany.

METHODS

A discrete choice experiment was conducted, which was developed using an exploratory sequential mixed methods research approach. In total, 5 attributes (ie, source, delivery mode, timing, recommendation, and quality criteria), each with 3 to 4 levels, were identified using formative research. Data were analyzed using logistic regression models to estimate preference weights and the relative importance of attributes. To identify subgroups of students varying in information preferences, we additionally performed a latent class analysis.

RESULTS

Of 309 participants, 231 (74.8%) with reliable data were included in the main analysis (women: 217/309, 70.2%; age: mean 24.1, SD 4.0 y). Overall, the conditional logit model revealed that medical students preferred to receive information about DMHIs from the student council and favored being informed via social media early (ie, during their preclinic phase or their freshman week). Recommendations from other students or health professionals were preferred over recommendations from other users or no recommendations at all. Information about the scientific evidence base was the preferred quality criterion. Overall, the timing of information was the most relevant attribute (32.6%). Latent class analysis revealed 2 distinct subgroups. Class 1 preferred to receive extensive information about DMHIs in a seminar, while class 2 wanted to be informed digitally (via email or social media) and as early as possible in their studies.

CONCLUSIONS

Medical students reported specific needs and preferences regarding DMHI information provided in medical school. Overall, the timing of information (early in medical education) was considered more important than the information source or delivery mode, which should be prioritized by decision makers (eg, members of faculties of medicine, universities, and ministries of education). Study findings suggest general and subgroup-specific information strategies, which could be implemented in a stepped approach. Easily accessible digital information may promote students' interest in DMHIs in the first step that might lead to further information-seeking behavior and the attendance of seminars about DMHIs in the second step.

Determining the acceptance of e-mental health interventions in elite athletes using the unified theory of acceptance and use of technology

Background

Elite athletes are exposed to many different sport-specific stressors that may put them at particular risk for mental health symptoms and disorders. E-mental health interventions could be a feasible option to support elite athletes in need. The aim of the present study was to assess the acceptance of e-mental health interventions among elite athletes and explore its underlying drivers and barriers.

Materials and methods

A cross-sectional study was conducted with N = 382 elite athletes. Of these, N = 275 (71.99%, 167 females) were included in the statistical analyses. The impact of various sociodemographic, sport-related and medical characteristics on acceptance was assessed. EHealth-related data and acceptance of e-mental health interventions were examined using a modified assessment based on the Unified Theory of Acceptance and Use of Technology (UTAUT).

Results

Overall, the acceptance of e-mental health interventions in elite athletes can be classified as high (M = 3.69 SD = 0.97). In the UTAUT regression model sex, financial situation, depression symptoms, digital confidence, digital overload as well as the UTAUT predictors performance expectancy, effort expectancy, and social influence predicted acceptance significantly.

Conclusions

The UTAUT model has proven to be a valuable instrument in predicting of acceptance of e-mental health interventions in elite athletes. Given the strong association between acceptance and future use, new interventions should focus on the explored factors to establish effective e-mental health interventions for elite athletes.

Current experience and future potential of facilitating access to digital NHS primary care services in England: the Di-Facto mixed-methods study

Background

Current National Health Service policy in England encourages enhanced digital access in primary care service provision. In this study, we investigate 'digital facilitation' - that range of processes, procedures and personnel which seeks to support National Health Service primary care patients in their uptake and use of online services.

Objectives

Identify, characterise and explore the potential benefits and challenges associated with different models of digital facilitation currently in use in general practice which are aimed at improving patient access to online services in general practice in England. Use the resulting intelligence to design a framework for future evaluations of the effectiveness and cost effectiveness of such interventions. Explore how patients with mental health conditions experience digital facilitation and gauge their need for this support.

Design

Observational mixed-methods study (literature review, surveys, ethnographic observation and interviews); formal synthesis of findings.

Setting

General practice in four regions of England.

Participants

Practice survey: 156 staff. Patient survey: 3051 patients. Mental health survey: 756 patients. General practitioner patient survey: 3 million responders. Ethnographic case-studies: 8 practices; interviews with 36 staff, 33 patients and 10 patients with a mental health condition. Stakeholder interviews: 19 participants.

Intervention

Digital facilitation as undertaken in general practice.

Main outcome measures

Patient and practice staff reported use of, and views of, digital facilitation.

Data sources

Surveys, qualitative research; national General Practitioner Patient Survey (2019-22).

Review methods

Scoping-review methodology applied to academic and grey literature published 2015-20.

Results

While we did find examples of digital facilitation in routine practice, these often involved using passive or reactive modes of support. The context of COVID, and the necessary acceleration (at that time) of the move to a digital-first model of primary care, shaped the way digital facilitation was delivered. There was lack of clarity over where the responsibility for facilitation efforts lay; it was viewed as the responsibility of 'others'. Patients living with mental health conditions had similar needs and experiences regarding digital facilitation to other patients.

Limitations

The context of the COVID pandemic placed limitations on the project. Fewer practices responded to the practice survey than anticipated; reconfiguration of general practices to support COVID measures was a key consideration during non-participant observation with social distancing and other measures still in place during fieldwork.

Conclusions

Digital facilitation, while not a widely recognised concept, is important in supporting the move to a National Health Service with enhanced digital opportunities and enhanced digital access. General practice staff are allocating resources to provide such efforts in general practices in England. The establishment of clear lines of responsibility, the development of digital tools and platforms that work for patients and practice staff, and investment in staff time and training are needed if digital facilitation is to support the intended digital revolution.

Future work

We did not find one single dominant or preferred model of digital facilitation which might reasonably be considered to form the basis of an intervention to be tested. Rather, there is a need to co-develop such an intervention with patients, general practice staff and relevant policy experts. We outline a framework for a future evaluation of such an intervention.

Study registration

This study is registered as ResearchRegistry6523 (www.researchregistry.com/browse-the-registry#home/?view_2_search=Di-Facto&view_2_page=1) and PROSPERO CRD42020189019 (www.crd.york.ac.uk/prospero/display_record.php?RecordID=189019).

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: NIHR128268) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 32. See the NIHR Funding and Awards website for further award information.

Acceptance of smart sensing, its determinants, and the efficacy of an acceptance-facilitating intervention in people with diabetes: results from a randomized controlled trial

Background

Mental health problems are prevalent among people with diabetes, yet often under-diagnosed. Smart sensing, utilizing passively collected digital markers through digital devices, is an innovative diagnostic approach that can support mental health screening and intervention. However, the acceptance of this technology remains unclear. Grounded on the Unified Theory of Acceptance and Use of Technology (UTAUT), this study aimed to investigate (1) the acceptance of smart sensing in a diabetes sample, (2) the determinants of acceptance, and (3) the effectiveness of an acceptance facilitating intervention (AFI).

Methods

A total of N = 132 participants with diabetes were randomized to an intervention group (IG) or a control group (CG). The IG received a video-based AFI on smart sensing and the CG received an educational video on mindfulness. Acceptance and its potential determinants were assessed through an online questionnaire as a single post-measurement. The self-reported behavioral intention, interest in using a smart sensing application and installation of a smart sensing application were assessed as outcomes. The data were analyzed using latent structural equation modeling and t-tests.

Results

The acceptance of smart sensing at baseline was average (M = 12.64, SD = 4.24) with 27.8% showing low, 40.3% moderate, and 31.9% high acceptance. Performance expectancy (γ = 0.64, p < 0.001), social influence (γ = 0.23, p = .032) and trust (γ = 0.27, p = .040) were identified as potential determinants of acceptance, explaining 84% of the variance. SEM model fit was acceptable (RMSEA = 0.073, SRMR = 0.059). The intervention did not significantly impact acceptance (γ = 0.25, 95%-CI: -0.16-0.65, p = .233), interest (OR = 0.76, 95% CI: 0.38-1.52, p = .445) or app installation rates (OR = 1.13, 95% CI: 0.47-2.73, p = .777).

Discussion

The high variance in acceptance supports a need for acceptance facilitating procedures. The analyzed model supported performance expectancy, social influence, and trust as potential determinants of smart sensing acceptance; perceived benefit was the most influential factor towards acceptance. The AFI was not significant. Future research should further explore factors contributing to smart sensing acceptance and address implementation barriers.

Exploration of the individual and combined effects of predictors of engagement, dropout, and change from digital interventions for recurrent binge eating

OBJECTIVE

Our ability to predict responsiveness to digital interventions for eating disorders has thus far been poor, potentially for three reasons: (1) there has been a narrow set of predictors explored; (2) prediction has mostly focused on symptom change, ignoring other aspects of the user journey (uptake, early engagement); and (3) there is an excessive focus on the unique effects of predictors rather than the combined contributions of a predictor set. We evaluated the univariate and multivariate effects of outcome predictors in the context of a randomized trial (n = 398) of digitally delivered interventions for recurrent binge eating.

METHOD

Thirty baseline variables were selected as predictors, ranging from specific symptoms, to key protective factors, to technological acceptance, and to online treatment attitudes. Outcomes included uptake, early engagement, and remission. Univariate (d) and multivariate (D) standardized mean differences were calculated to estimate the individual and combined effects of predictors, respectively.

RESULTS

At the univariate level, few predictors produced an effect size larger than what is considered small (d > .20) across outcomes. However, our multivariate approach enhanced prediction (Ds = .65 to 1.12), producing accuracy rates greater than chance (63%-71% accuracy). Less than half of the chosen variables proved to be useful in contributing to predictions in multivariate models.

CONCLUSION

Findings suggest that accuracy in outcome prediction from digitally delivered interventions may be better driven by the aggregation of many small effects rather than one or several largely influential predictors. Replication with different data streams (sensor, neuroimaging) would be useful.

PUBLIC SIGNIFICANCE

Our ability to predict who will and will not benefit from digital interventions for eating disorders has been poor. We highlight the viability of a multivariate approach to outcome prediction, whereby prediction may be better driven by the aggregation of many small effects rather than one or a few influential predictors.

Enhancing the acceptance of smart sensing in psychotherapy patients: findings from a randomized controlled trial

Objective

Smart sensing has the potential to make psychotherapeutic treatments more effective. It involves the passive analysis and collection of data generated by digital devices. However, acceptance of smart sensing among psychotherapy patients remains unclear. Based on the unified theory of acceptance and use of technology (UTAUT), this study investigated (1) the acceptance toward smart sensing in a sample of psychotherapy patients (2) the effectiveness of an acceptance facilitating intervention (AFI) and (3) the determinants of acceptance.

Methods

Patients (N = 116) were randomly assigned to a control group (CG) or intervention group (IG). The IG received a video AFI on smart sensing, and the CG a control video. An online questionnaire was used to assess acceptance of smart sensing, performance expectancy, effort expectancy, facilitating conditions and social influence. The intervention effects of the AFI on acceptance were investigated. The determinants of acceptance were analyzed with structural equation modeling (SEM).

Results

The IG showed a moderate level of acceptance (M = 3.16, SD = 0.97), while the CG showed a low level (M = 2.76, SD = 1.0). The increase in acceptance showed a moderate effect in the intervention group (p < .05, d = 0.4). For the IG, performance expectancy (M = 3.92, SD = 0.7), effort expectancy (M = 3.90, SD = 0.98) as well as facilitating conditions (M = 3.91, SD = 0.93) achieved high levels. Performance expectancy (γ = 0.63, p < .001) and effort expectancy (γ = 0.36, p < .001) were identified as the core determinants of acceptance explaining 71.1% of its variance. The fit indices supported the model's validity (CFI = .95, TLI = .93, RMSEA = .08).

Discussion

The low acceptance in the CG suggests that enhancing the acceptance should be considered, potentially increasing the use and adherence to the technology. The current AFI was effective in doing so and is thus a promising approach. The IG also showed significantly higher performance expectancy and social influence and, in general, a strong expression of the UTAUT factors. The results support the applicability of the UTAUT in the context of smart sensing in a clinical sample, as the included predictors were able to explain a great amount of the variance of acceptance.

Evaluation of the e-Mental Health Intervention Make It Training From Patients' Perspectives: Qualitative Analysis Within the Reduct Trial

BACKGROUND

Make It Training is an e-mental health intervention designed for individuals with cancer that aims to reduce psychological distress and improve disease-related coping and quality of life.

OBJECTIVE

This study evaluated the experienced usefulness and usability of the web-based Make It Training intervention using a qualitative approach.

METHODS

In this study, semistructured interviews were conducted with participants at different cancer stages and with different cancer entities. All participants had previously taken part in the Reduct trial, a randomized controlled trial that assessed the efficacy of the Make It Training intervention. The data were coded deductively by 2 independent researchers and analyzed iteratively using thematic codebook analysis.

RESULTS

Analysis of experienced usefulness resulted in 4 themes (developing coping strategies to reduce psychological distress, improvement in quality of life, Make It Training vs traditional psychotherapy, and integration into daily life) with 11 subthemes. Analysis of experienced usability resulted in 3 themes (efficiency and accessibility, user-friendliness, and recommendations to design the Make It Training intervention to be more appealing) with 6 subthemes. Make It Training was evaluated as a user-friendly intervention helpful for developing functional coping strategies to reduce psychological distress and improve quality of life. The consensus regarding Make It Training was that it was described as a daily companion that integrates well into daily life and that it has the potential to be routinely implemented within oncological health care either as a stand-alone intervention or in addition to psychotherapy.

CONCLUSIONS

e-Mental health interventions such as Make It Training can target both the prevention of mental health issues and health promotion. Moreover, they offer a cost-efficient and low-threshold option to receive psycho-oncological support.

"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.

Treatment Gap in Mental Health Care for Victims of Road Traffic Accidents

Road traffic accidents (RTAs) are among the most frequent negative life-events. About one in five RTA survivors is susceptible to posttraumatic stress disorder (PTSD). Knowledge about needs for, and usage of, mental health services (MHSs) may improve options for care for RTA victims. The current study aimed to assess rates of victims using different MHSs, including psychotherapy, pharmacotherapy and support groups, and to explore correlates of needs for and use of these MHSs. Further, we aimed to estimate the treatment gap in post-RTA care, defined as including people with probable PTSD who did not use MHSs and people wanting but not getting help from MHSs. Dutch victims of nonlethal RTAs (N = 259) completed self-report measures on needs for and use of MHSs and PTSD. Results showed that 26% of participants had utilized care from psychotherapy, pharmacotherapy or support groups. Among people with probable PTSD, this was 56%. Increased posttraumatic stress was the strongest correlate of MHS use. Forty-eight participants (17.8%) had an unmet care need and represented the treatment gap. Commonly reported reasons and barriers preventing MHS use were perceptions that problems were limited or would disappear without care and financial worries. Regarding possible future care, participants reported a preference for face-to-face (over online) help from a psychologist (over other professionals). The treatment gap for Dutch RTA victims may be limited. However, a significant number of RTA victims need care but do not obtain this care. Care options may be improved by reducing practical barriers to MHSs and increasing mental health literacy and acceptability of different forms of care (besides face-to-face care).

[Blended care: state of research and possibilities for implementation]

BACKGROUND

Psychotherapy is effective in treating mental disorders; however, not all patients benefit to the same extent and treatment gains are not always maintained. Blended care (BC) has the potential to improve psychotherapeutic care by combining traditional psychotherapy with online contents.

OBJECTIVE

To explore the potential of BC for psychotherapeutic care and investigate its implementation possibilities.

MATERIAL AND METHODS

Presentation of the effectiveness of various BC modalities, attitudes of users and decision-makers, and discussion of recommendations for its implementation.

RESULTS

Indications for the effectiveness of BC in different modalities has been shown in several studies. Both therapists and patients prefer BC over a purely online intervention and want customizable contents; however, it remains unclear for which patients BC is a particularly suitable treatment option.

CONCLUSION

Various combinations of BC have the potential to be an effective and financially viable treatment option. Successful implementation requires better education about BC and the provision of the necessary infrastructure.

Target-user preferences, motivations, and acceptance for a dialectical behaviour therapy smartphone application for eating disorders

PURPOSE

Evidence shows that dialectical behavioural therapy (DBT) is efficacious for eating disorders (ED), yet few people have access to specialized treatments like DBT. Translating key DBT skills for delivery via a smartphone application may broaden the dissemination of evidence-based interventions. However, prior to developing a DBT-based app, it is crucial to gather information on target-user needs and preferences. Assessing overall acceptance and identifying predictors of acceptance, informed by the UTAUT framework, is also important. This process ensures not only a demand for such an app, but also that users receive content and features tailored to their needs.

METHOD

This study aimed to understand target-user preferences of DBT-based apps for EDs by assessing willingness to engage, overall acceptance levels, and preferred functionality/content delivery modes (n = 326 symptomatic participants).

RESULTS

Eighty-eight percent indicated they would be willing to use a DBT-based ED app if it were available. Acceptance levels of a DBT app were high (64%), which was uniquely predicted by performance expectancy (perceptions of how beneficial an intervention is) and facilitating conditions (expectations of technological infrastructure and support in interventions) in path analysis. Content perceived as important to contain were emotion regulation techniques, tailored intervention strategies, and psychoeducation.

CONCLUSION

Findings generate important information about target-user preferences of a DBT-based app for EDs, highlighting necessary design principles for apps of this kind. Level of evidence Level V, cross-sectional descriptive study.

The Evaluation of the GET.ON Nationwide Web-Only Treatment Service for Depression- and Stress-Related Symptoms: Naturalistic Trial

BACKGROUND

GET.ON (HelloBetter) treatment interventions have been shown to be efficacious in multiple randomized controlled trials.

OBJECTIVE

This study evaluated the effectiveness of 2 GET.ON interventions, GET.ON Mood Enhancer and GET.ON Stress, in a national digital mental health service implemented across Germany.

METHODS

Following an initial web-based questionnaire, participants were allocated to either intervention based on their baseline symptom severity and personal choice and received a semistandardized guided, feedback-on-demand guided, or self-guided version of the treatment. Uncontrolled routine care data from 851 participants were analyzed using a pretest-posttest design. Half of the participants (461/851, 54.2%) were allocated to the stress intervention (189/461, 41% semistandardized; 240/461, 52% feedback on demand; and 32/461, 6.9% self-guided), and almost all participants in the mood intervention (349/352, 99.2%) received semistandardized guidance.

RESULTS

Results on depression-related symptom severity indicated a reduction in reported symptoms, with a large effect size of d=-0.92 (95% CI -1.21 to -0.63). Results on perceived stress and insomnia indicated a reduction in symptom severity, with large effect sizes of d=1.02 (95% CI -1.46 to -0.58) and d=-0.75 (95% CI -1.10 to -0.40), respectively. A small percentage of participants experienced deterioration in depression-related symptoms (11/289, 3.8%), perceived stress (6/296, 2%), and insomnia (5/252, 2%). After completing treatment, 51.9% (150/289) of participants showed a clinically reliable change in depression-related symptoms, whereas 20.4% (59/289) achieved a close to symptom-free status. Similar improvements were observed in perceived stress and insomnia severity. Guidance moderated the effectiveness of and adherence to the interventions in reducing depressive symptom severity. Effect sizes on depression-related symptom severity were d=-1.20 (95% CI -1.45 to -0.93) for the semistandardized group, d=-0.36 (95% CI -0.68 to -0.04) for the feedback-on-demand group, and d=-0.83 (95% CI -1.03 to -0.63) for the self-guided group. Furthermore, 47.6% (405/851) of the participants completed all modules of the intervention. Participant satisfaction was high across all patient groups and both interventions; 89.3% (242/271) of participants would recommend it to a friend in need of similar help. Limitations include the assignment to treatments and guidance formats based on symptom severity. Furthermore, part of the differences in symptom change between groups must be assumed to be due to this baseline difference in the measures.

CONCLUSIONS

Future digital health implementation and routine care research should focus on monitoring symptom deterioration and other negative effects, as well as possible predictors of deterioration and the investigation of individual patient trajectories. In conclusion, this study supports the effectiveness of tailored digital mental health services in routine care for depression- and stress-related symptoms in Germany. The results highlight the importance of guidance in delivering internet-based cognitive behavioral therapy interventions and provide further evidence for its potential delivered as web-only solutions for increasing access to and use of psychological treatments.

Does outcome expectancy predict outcomes in online depression prevention? Secondary analysis of randomised-controlled trials

BACKGROUND

Evidence shows that online interventions could prevent depression. However, to improve the effectiveness of preventive online interventions in individuals with subthreshold depression, it is worthwhile to study factors influencing intervention outcomes. Outcome expectancy has been shown to predict treatment outcomes in psychotherapy for depression. However, little is known about whether this also applies to depression prevention. The aim of this study was to investigate the role of participants' outcome expectancy in an online depression prevention intervention.

METHODS

A secondary data analysis was conducted using data from two randomised-controlled trials (N = 304). Multilevel modelling was used to explore the effect of outcome expectancy on depressive symptoms and close-to-symptom-free status postintervention (6-7 weeks) and at follow-up (3-6 months). In a subsample (n = 102), Cox regression was applied to assess the effect on depression onset within 12 months. Explorative analyses included baseline characteristics as possible moderators. Outcome expectancy did not predict posttreatment outcomes or the onset of depression.

RESULTS

Small effects were observed at follow-up for depressive symptoms (β = -.39, 95% confidence interval [CI]: [-0.75, -0.03], p = .032, padjusted = .130) and close-to-symptom-free status (relative risk = 1.06, 95% CI: [1.01, 1.11], p = .013, padjusted = 0.064), but statistical significance was not maintained when controlling for multiple testing. Moderator analyses indicated that expectancy could be more influential for females and individuals with higher initial symptom severity.

CONCLUSION

More thoroughly designed, predictive studies targeting outcome expectancy are necessary to assess the full impact of the construct for effective depression prevention.

PATIENT OR PUBLIC CONTRIBUTION

This secondary analysis did not involve patients, service users, care-givers, people with lived experience or members of the public. However, the findings incorporate the expectations of participants using the preventive online intervention, and these exploratory findings may inform the future involvement of participants in the design of indicated depression prevention interventions for adults.

CLINICAL TRIAL REGISTRATION

Original studies: DRKS00004709, DRKS00005973; secondary analysis: osf.io/9xj6a.

Acceptance of a Web-Based Intervention in Individuals Who Committed Sexual Offenses Against Children: Cross-Sectional Study

BACKGROUND

Individuals who have committed sexual offenses against children often have difficulties finding treatment, despite its potential effectiveness. Although the development of web-based interventions could enhance therapeutic supply, up to now the acceptance thereof among this target group is unknown.

OBJECTIVE

For the first time, this study assesses the acceptance of a web-based intervention among individuals who committed sexual offenses against children and analyzes variables that predict acceptance. Following the Unified Theory of Acceptance and Use of Technology (UTAUT), it is assumed that acceptance of web-based interventions in individuals who have committed sexual offenses against children follows the same mechanisms as for individuals in general psychiatry.

METHODS

This cross-sectional study is based on the data from an ongoing clinical trial (@myTabu) evaluating the effectiveness of a web-based intervention in individuals who committed sexual offenses against children (N=113). Acceptance level was measured using a questionnaire based on the UTAUT and modified for the target group. Furthermore, predictors of acceptance from the UTAUT (performance expectancy, effort expectancy, and social influence [SI]), attitudes toward web-based interventions, and internet anxiety were assessed at baseline.

RESULTS

Most participants (61.1%, 69/113), reported high acceptance, while 36.3% (41/113) of them indicated moderate acceptance, and 2.7% (3/113) of them expressed low acceptance. In a linear regression model, the predictors explained 41.2% of the variance (F11,101=9.055; P=.01). Attitudes toward web-based interventions (B=0.398, 95% CI 0.16-0.64; P=.001) and SI (B=0.183, 95% CI 0.03-0.38; P=.04) significantly predicted acceptance. Post hoc explorative analysis showed that the participants' belief that people close to them would recommend the use of a web-based intervention is a predictor of acceptance. In contrast, the belief that their community supervisor would recommend the use thereof was not predictive in this respect.

CONCLUSIONS

For the participants of this study, we identified high acceptance of web-based interventions for the majority of participants. SI and the participants' attitudes toward web-based interventions were important in predicting acceptance.

TRIAL REGISTRATION

German Clinical Trial Registration (DRKS, Deutsches Register Klinischer Studien) DRKS 00021256; https://drks.de/search/de/trial/DRKS00021256.

Acceptability of a smartphone-based intervention targeting anxiety sensitivity among women receiving emergency care after sexual assault: A pilot uncontrolled trial

Anxiety sensitivity (AS), defined as the fear of anxious arousal, is a promising therapeutic target to reduce posttraumatic stress disorder (PTSD) symptom development after trauma exposure. Computerized AS interventions have been shown to be acceptable to individuals with PTSD symptoms and effective in achieving symptom reduction; however, to our knowledge, no research has examined AS interventions initiated in the immediate aftermath of trauma. We evaluated the feasibility, acceptability, and credibility of a brief (i.e., ∼75 min of psychoeducation, ∼2 hr of ecological momentary intervention) smartphone-based AS intervention in a pilot study. Participants were 12 women who presented for emergency care after sexual assault with high levels of peritraumatic PTSD symptoms. Most women who started the intervention completed the majority of it and reported using the techniques provided. Results indicated that participants perceived the intervention as logical and believed it would help in reducing their symptoms. Qualitative feedback was mostly positive but also indicated concern regarding intervention length. Although not the purpose of the study, results indicated medium-to-large, statistically significant decreases in AS, g = 0.74, and PTSD symptoms, g = 1.20. Overall, these preliminary findings suggest that this novel smartphone-based intervention targeting AS was feasible, acceptable, and credible in this small sample of women receiving emergency care following sexual assault. Treatment outcome data must be considered in the context of natural recovery; however, these promising preliminary feasibility, acceptability, and credibility data support continuing to pilot the feasibility and potential efficacy of the intervention to reduce AS and prolonged PTSD symptoms.

Online cognitive behavioral therapy for prolonged grief after traumatic loss: a randomized waitlist-controlled trial

Prolonged grief disorder, a condition characterized by severe, persistent, and disabling grief, is newly included in ICD-11 and DSM-5-TR. Prolonged grief symptoms can be effectively treated with face-to-face or internet-delivered cognitive behavioral therapy. Traumatic losses may elicit higher prevalence of severe grief reactions. While face-to-face cognitive behavioral therapy appears efficacious in treating prolonged grief symptoms in traumatically bereaved individuals, it is not yet clear if internet-based cognitive behavioral therapy is efficacious for this population. Therefore, we investigated the efficacy of a 12-week internet-delivered cognitive behavioral therapy for people bereaved through traffic accidents in a randomized waitlist-controlled trial (registration number: NL7497, Dutch Trial Register). Forty adults bereaved though a traffic accident were randomized to internet-based cognitive behavioral therapy (n = 19) or a waitlist control condition (n = 21). Prolonged grief, post-traumatic stress, and depression symptoms were assessed at baseline, post-treatment, and 8-week follow-up. Dropout in the treatment condition was relatively high (42%) compared to the control condition (19%). Nevertheless, multilevel analyses showed that internet-based cognitive behavioral therapy strongly reduced prolonged grief, post-traumatic stress, and depression symptoms relative to the control condition at post-treatment and follow-up. We conclude that internet-based cognitive behavioral therapy appears a promising treatment for traumatically bereaved adults.

Internet-Based Treatment of Body Dysmorphic Disorder: Feasibility, Evaluation, and Self-Report Data

ABSTRACT

Initial findings indicate the effectiveness of internet-based interventions for body dysmorphic disorder (BDD). In order to substantiate these findings, a seven-module guided internet-based intervention was created and examined. We report the mixed data of participants with clinical and subclinical BDD of the treatment group (n = 18). We investigated the feasibility, the quality of the program content, the design and usability, and its effects on symptom severity and related psychopathology. Adherence to the intervention was low and dropout rate high (55.6%). The program content, perceived website usability, and visual aesthetic were rated high. Credibility and expectancy were on a medium level. Satisfaction with appearance improved significantly in the intention-to-treat analysis (d = 0.58). In sum, symptom-related outcomes and program evaluation showed a positive trend albeit the study conduction was difficult. Future programs should investigate the role of additional motivation strategies and more flexible support addressing the known treatment barriers.

[Online Therapy as an Add-on to Psychoanalysis? What Needs for Online Therapy Modules do Psychodynamic Psychotherapists in Private Practice Express for Their Outpatient Work?]

OBJECTIVE

In recent years, psychotherapists have been increasingly confronted with the challenge of meeting treatment needs efficiently with limited time resources and at the same time achieving stable treatment success in the long term. One way to address this is to integrate Internet-based interventions (IBI) into outpatient psychotherapy. While there is a lot of research on IBI based on cognitive-behavioral therapy, little is known about the same for psychodynamic treatment models. Therefore, the question will be answered as to what specific online modules would need to look like that psychodynamic psychotherapists would use in their outpatient practice to support their regular face-to-face therapies.

METHODS

In this study, 20 psychodynamic psychotherapists were asked about their requirements on the content of online modules that could be integrated into outpatient psychotherapy, using semi-structured interviews. The transcribed interviews were analyzed using Mayring's qualitative content analysis.

RESULTS

Results showed that some psychodynamic psychotherapists already use exercises or materials which could be transferred into the online format. In addition, general requirements about online modules emerged, such as an easy handling or a playful character. At the same time, it became clear when and with what kind of patient groups online modules would be integrated into psychodynamic psychotherapy.

DISCUSSION

The interviewed psychodynamic psychotherapists considered it an attractive approach to offer online modules as a supplement to psychotherapy and in a broad spectrum of content. They gave practical advice for the design of possible modules, both on the level of general handling and regarding concrete contents, words, and ideas.

CONCLUSION

The results contributed to the development of online modules for use in routine care, the effectiveness of which will be investigated in a randomized controlled trial in Germany.

Acceptance of smart sensing: a barrier to implementation-results from a randomized controlled trial

Background

Accurate and timely diagnostics are essential for effective mental healthcare. Given a resource- and time-limited mental healthcare system, novel digital and scalable diagnostic approaches such as smart sensing, which utilizes digital markers collected via sensors from digital devices, are explored. While the predictive accuracy of smart sensing is promising, its acceptance remains unclear. Based on the unified theory of acceptance and use of technology, the present study investigated (1) the effectiveness of an acceptance facilitating intervention (AFI), (2) the determinants of acceptance, and (3) the acceptance of adults toward smart sensing.

Methods

The participants (N = 202) were randomly assigned to a control group (CG) or intervention group (IG). The IG received a video AFI on smart sensing, and the CG a video on mindfulness. A reliable online questionnaire was used to assess acceptance, performance expectancy, effort expectancy, facilitating conditions, social influence, and trust. The self-reported interest in using and the installation of a smart sensing app were assessed as behavioral outcomes. The intervention effects were investigated in acceptance using t-tests for observed data and latent structural equation modeling (SEM) with full information maximum likelihood to handle missing data. The behavioral outcomes were analyzed with logistic regression. The determinants of acceptance were analyzed with SEM. The root mean square error of approximation (RMSEA) and standardized root mean square residual (SRMR) were used to evaluate the model fit.

Results

The intervention did not affect the acceptance (p = 0.357), interest (OR = 0.75, 95% CI: 0.42-1.32, p = 0.314), or installation rate (OR = 0.29, 95% CI: 0.01-2.35, p = 0.294). The performance expectancy (γ = 0.45, p < 0.001), trust (γ = 0.24, p = 0.002), and social influence (γ = 0.32, p = 0.008) were identified as the core determinants of acceptance explaining 68% of its variance. The SEM model fit was excellent (RMSEA = 0.06, SRMR = 0.05). The overall acceptance was M = 10.9 (SD = 3.73), with 35.41% of the participants showing a low, 47.92% a moderate, and 10.41% a high acceptance.

Discussion

The present AFI was not effective. The low to moderate acceptance of smart sensing poses a major barrier to its implementation. The performance expectancy, social influence, and trust should be targeted as the core factors of acceptance. Further studies are needed to identify effective ways to foster the acceptance of smart sensing and to develop successful implementation strategies.

Clinical Trial Registration

identifier 10.17605/OSF.IO/GJTPH.

Breast Cancer Survivors' Attitudes toward eMental Health: A Cross-Sectional Study

BACKGROUND

Breast cancer survivors' (BCS) attitudes toward eMental Health (eMH) are largely unknown, and adoption predictors and their interrelationships remain unclear. This study aimed to explore BCS' attitudes toward eMH and investigate associated variables.

METHODS

A cross-sectional study involving 336 Portuguese BCS was conducted. Attitudes toward eMH, depression and anxiety symptoms, health-related quality of life, and sociodemographic, clinical, and internet-related variables were assessed using validated questionnaires. Spearman-ranked correlations, χ2, and multiple regression analyses were computed to explore associations between attitudes and collected variables.

RESULTS

BCS held a neutral stance toward eMH. In models adjusted for age and education, positive attitudes were statistically significantly associated with increased depressive symptoms and worse emotional, cognitive, and body image functioning. Social network use, online health information and mental healthcare seeking, higher self-reported knowledge of eMH, and previous use of remote healthcare were positively associated with better attitudes toward eMH.

CONCLUSIONS

eMH programs targeting BCS seem to be a promising strategy for providing supportive psychosocial care to BCS. However, increasing awareness about eMH efficacy and security may be necessary to improve its acceptance and use among BCS. Additional research is necessary to understand how BCS' unmet care needs, and specifically their psychological distress severity, may impact BCS' acceptance and use of eMH.

Virtual Reality for Upper Extremity Rehabilitation-A Prospective Pilot Study

Applications related to virtual reality are a rapidly growing area. Thus, these technologies are also increasingly used in the field of medicine and rehabilitation. The primary objective of this prospective pilot study was to investigate the feasibility, user experience and acceptance of a virtual-reality-based system for upper extremity rehabilitation. The study was conducted as a single-center trial over 16 weeks. The eligibility criteria included rehabilitants with upper extremity injuries of at least 18 years of age who were fluent in spoken and written German. After detailed instruction, each participant was asked to complete daily 30 min exercises over 15 training sessions with the virtual reality system consisting of three different training modules. Outcomes were assessed pre-study and post-study using standardized clinical measures. In addition, qualitative interviews with rehabilitants as well as therapists regarding user experience and acceptance were conducted. Six participants were recruited for the pilot study, of which five underwent virtual-reality-based rehabilitation. Overall, the clinical measures showed a positive tendency over the course of the study, even if the results were not significant. Furthermore, the virtual-reality-based training was well accepted by the participants as well as therapists. Given these findings, it will be beneficial to evaluate virtual reality for rehabilitation in further research.

Will they or won't they? Understanding New Zealand adults' attitudes towards using digital interventions

Background

Digital interventions deliver healthcare via the internet or smartphone application to support people's well-being and health. Yet uptake is relatively poor. Furthermore, several studies exploring attitudes towards digital interventions have found inconsistent attitudes. In addition to this, regional and cultural nuances may further influence attitudes to digital interventions.

Objective

This study aimed to understand New Zealand adults' attitudes towards digital interventions and their influences.

Results

A mixed-method design consisting of a cross-sectional survey and semi-structured interviews found that New Zealand adults hold varied and complex attitudes towards digital interventions. Attitudes were found to be influenced by group membership and the scenarios in which digital interventions are made available. In addition, beliefs about the benefits and concerns surrounding digital interventions, knowledge, perceived views of others, and previous experience and confidence influenced these attitudes.

Conclusions

Findings indicated that digital interventions would be acceptable if offered as part of the healthcare service rather than a standalone intervention. Key modifiable factors that could positively influence attitudes were identified and could be leveraged to increase the perceived acceptability of digital interventions.

Factors Influencing Community Participation in Internet Interventions Compared With Research Trials: Observational Study in a Nationally Representative Adult Cohort

BACKGROUND

Digital mental health (DMH) programs can be effective in treating and preventing mental health problems. However, community engagement with these programs can be poor. Understanding the barriers and enablers of DMH program use may assist in identifying ways to increase the uptake of these programs, which have the potential to provide broad-scale prevention and treatment in the community.

OBJECTIVE

In this study, we aimed to identify and compare factors that may influence participation in DMH programs in practice and research trials, identify any respondent characteristics that are associated with these factors, and assess the relationship between intentions to use DMH programs and actual uptake.

METHODS

Australian adults aged ≥18 years were recruited from market research panels to participate in the study. The sample was representative of the Australian adult population based on age, gender, and location. Participants completed a cross-sectional web-based survey assessing demographic characteristics, mental health symptom measures, attitudes and use of DMH programs in practice and in research studies, and the factors influencing their use in both settings.

RESULTS

Across both research and practice, trust in the organization delivering the service or trial was the top-ranked factor influencing participation, followed by anonymity or privacy and adequate information. There was little variation in rankings across demographic groups, including intentions to use DMH programs or mental health status. Intentions to use DMH programs were a strong predictor of both current (odds ratio 2.50, 99% CI 1.41-4.43; P<.001) and past (odds ratio 2.98, 99% CI 1.71-5.19; P<.001) use behaviors.

CONCLUSIONS

Efforts to increase the uptake of DMH programs or participation in research trials should focus on clearly communicating the following to users: the legitimacy of the organization delivering the program, security and use of participant data, and effectiveness of DMH programs.

Pilot study of a smartphone-based tinnitus therapy using structured counseling and sound therapy: A multiple-baseline design with ecological momentary assessment

Tinnitus affects a considerable part of the population and develops into a severe disorder in some sufferers. App-based interventions are able to provide low-threshold, cost-effective, and location-independent care for tinnitus patients. Therefore, we developed a smartphone app combining structured counseling with sound therapy and conducted a pilot study to evaluate treatment compliance and symptom improvement (trial registration: DRKS00030007). Outcome variables were Ecological Momentary Assessment (EMA) measured tinnitus distress and loudness and Tinnitus Handicap Inventory (THI) at baseline and final visit. A multiple-baseline design with a baseline phase (only EMA) followed by an intervention phase (EMA and intervention) was applied. 21 patients with chronic tinnitus (≥ 6 months) were included. Overall compliance differed between modules (EMA usage: 79% of days, structured counseling: 72%, sound therapy: 32%). The THI score improved from baseline to final visit indicating a large effect (Cohens d = 1.1). Tinnitus distress and loudness did not improve significantly from baseline phase to the end of intervention phase. However, 5 of 14 (36%) improved clinically meaningful in tinnitus distress (ΔDistress ≥ 10) and 13 of 18 (72%) in THI score (ΔTHI ≥ 7). The positive relationship between tinnitus distress and loudness weakened over the course of the study. A trend but no level effect for tinnitus distress could be demonstrated by a mixed effect model. The improvement in THI was strongly associated with the improvement scores in EMA of tinnitus distress (r = -0.75; 0.86). These results indicate that app-based structured counseling combined with sound therapy is feasible, has an impact on tinnitus symptoms and reduces distress for several patients. In addition, our data suggest that EMA could be used as a measurement tool to detect changes in tinnitus symptoms in clinical trials as has already been shown in other areas of mental health research.

A mobile-based aftercare intervention to increase self-esteem in inpatients diagnosed with depression: A randomized controlled trial

OBJECTIVE

In this randomized controlled trial, we investigated the effectiveness, side effects and user satisfaction of the self-help smartphone app "MCT & More" among inpatients with a diagnosis of depression after their discharge from a psychiatric hospital over a period of 4 weeks.

METHODS

A total of 159 inpatients were recruited in four German psychiatric hospitals three days before hospital discharge (intervention group: n = 79; treatment as usual: n = 80). Based on the vulnerability model (low self-esteem contributes to depression), self-esteem represented the primary outcome, quality of life and depressive symptoms the secondary outcomes.

RESULTS

Intention-to-treat analyzes showed no statistical significance for the primary and secondary outcome parameters, except for the subscale self-competence in favor of the intervention group (with a small effect size of d = 0.35), in the context of an exploratory approach (post hoc). The more positive the attitude toward mobile-based interventions and the more positive the treatment expectations, the more frequently the app was used (r = .35, p = .008; r = .34, p = .009).

CONCLUSION

Further symptom reduction could not be obtained. However, the results suggest that an effect on improvement in self-competence could be achieved by low-threshold aftercare programs. Future studies should include long-term assessments to examine the impact of mobile-based aftercare on relapse.Trial registration: DRKS00022559.

Investigating information needs and preferences regarding digital mental health services among medical and psychology students in Germany: A qualitative study

Background

Since 2020, physicians and psychotherapists in Germany can prescribe digital mental health services (dMHSs). However, even future healthcare professionals (HCPs), such as medical and psychology students, remain reluctant to use dMHSs, although they are a risk group for mental health issues themselves. Reasons include scepticism and lacking awareness of dMHSs, which can be addressed by acceptance-facilitating interventions (AFIs) such as information strategies. To date, though, little is known about their information needs.

Methods

Semi-structured interviews with n = 21 students were conducted between August and September 2021. Students of legal age studying psychology or medicine at a German university could participate. Interview recordings were transcribed verbatim and content-analyzed according to Mayring, using deductive and inductive coding.

Results

Most students reported having little experience with dMHSs. Digital health has barely been raised in their study, even though it was perceived as crucial for personal needs as well as in preparation for their work as HCPs. Students favoured receiving information on and recommendations for dMHSs from their university via, e.g. social media or seminars. Among others, information about data safety, scientific evidence base and application scope were preferred. Additionally, information on costs as well as user reviews seemed to be essential components of information strategies because students were concerned that high costs or low usability would hinder uptake.

Conclusions

The results give first insights on how future HCPs would like to be informed on dMHSs. Future research should focus on systematic variations of AFIs' components mimicking real-world decision scenarios to increase the adoption of dMHSs.

Factors Associated With Intention and Use of e-Mental Health by Mental Health Counselors in General Practices: Web-Based Survey

BACKGROUND

Mental health care counselors have a high intention to use e-mental health (EMH), whereas actual use is limited. Facilitating future use requires insight into underlying factors as well as eligibility criteria that mental health care counselors use in their decision to apply EMH.

OBJECTIVE

The aim of this study was to unfold the intention and underlying reasons for mental health counselors to use EMH and to unveil the criteria they use to estimate patient eligibility for EMH. The theoretical framework was based on the reasoned action approach model, the Unified Theory of Acceptance and Use of Technology, and the Measurement Instrument for Determinants of Innovation model.

METHODS

To empirically validate our theoretical model, a web-based survey was conducted among mental health care counselors (n=132). To unveil the eligibility criteria, participants were asked to rank their reasons for considering EMH suitable or unsuitable for a patient.

RESULTS

The mean intention to use EMH was positive (mean 4.04, SD 0.64). The mean use of EMH before the COVID-19 pandemic was 38% (mean 0.38, SD 0.22), and it was 49% (mean 0.49, SD 0.25) during the pandemic. In total, 57% of the patient population was considered eligible for EMH. Usefulness and benefits (β=.440; P<.001), Task perception (β=.306; P=.001), and Accessibility (β=.140; P=.02) explained the intention to use EMH (F_3,131=54.151; P<.001; R²=0.559). In turn, intention explained patient eligibility (F_1,130=34.716; P<.001; R²=0.211), whereas intention and patient eligibility explained EMH use (F_2,129=41.047; P<.001; R²=0.389). Patient eligibility partially mediated the relationship between intention to use EMH and EMH use, with a larger direct effect (c'=0.116; P<.001) than indirect effect (c=0.065, 95% CI 0.035-0.099; P<.001). Mental health counselors assessed patients' eligibility for EMH mainly through the availability of computers and the internet and patient motivation.

CONCLUSIONS

To stimulate the use of EMH, intention and patient eligibility need to be influenced. Intention, in turn, can be enhanced by addressing the perceived usefulness and benefits of EMH, perceived accessibility, and task perception. Access to a computer and patients' motivation to use EMH are important in facilitating patient eligibility. To cause an impact with EMH in general practice, mental health counselors need to be convinced of the benefits of EMH and transfer this enthusiasm to the patient. It is recommended to involve mental health counselors in the development of EMH to increase the (perceived) added value and use.

Erste Erfahrungen mit einer Selbstmanagement-App in der stationären Suchtbehandlung

Zusammenfassung: Zielsetzung: Um die Möglichkeiten smartphonebasierter Interventionen für die stationäre Entwöhnungstherapie in einer Rehabilitationsklinik zu nutzen, wurde die MeinSalus-App entwickelt. Ziel der Studie ist es, (1) die Akzeptanz (Nutzungsabsicht) der App bei Patienten sowie beim therapeutischen Personal zu untersuchen, (2) Prädiktoren der Akzeptanz auf der Grundlage eines erweiterten UTAUT (Unified Theory of Acceptance and Use of Technology-)Modells zu bestimmen und (3) Aufschlüsse über das Nutzungsverhalten zu bekommen. Methodik: 193 von 282 stationären Patienten (68,4 %) sowie 18 von 34 Therapeuten (52,9 %) beantworteten Fragebögen zur Akzeptanz (Nutzungsabsicht) der App und deren einzelnen Funktionen, zu UTAUT- und mHealth-bezogenen Variablen sowie zu ihrem Nutzungsverhalten. Ergebnisse: Die mittlere Nutzungsabsicht (Range 1–5) für die App insgesamt lag für Patienten bei 4.65 ( SD = 0.83) und für Therapeuten bei 4.07 ( SD = 0.62). Alter, mobile Internetnutzung, erwarteter Nutzen sowie Vorbehalte gegenüber der App erwiesen sich als signifikante Prädiktoren der Akzeptanz. Beim Nutzungsverhalten ergab sich ein differenziertes Bild für die unterschiedlichen Funktionen. Schlussfolgerungen: Es zeigte sich sowohl in der Patientenstichprobe als auch beim teilnehmenden therapeutischen Personal eine hohe Akzeptanz der App, was auf eine akzeptable Grundlage für eine Implementierung in der stationären Suchtbehandlung hindeutet. Studien zu Effekten der App sollten sich anschließen.

Digital Health Interventions in Depression Care-A Survey on Acceptance from the Perspective of Patients, Their Relatives and Health Professionals

Digital health interventions may contribute to closing the treatment gap for depression by reaching large populations at relatively low costs. This article presents the results of a broad, multisided German survey in 2020 on the acceptance and use of digital health interventions in depression care from the perspective of patients, their relatives, and health professionals. A total of 97 patients and relatives and 229 health professionals participated. Survey participants reported openness towards the use of digital health interventions in depression care but little knowledge and experience in the field. Digital health interventions appear to be a promising opportunity for reducing depressive symptoms and shortening waiting time for depression treatment, especially in rural areas. Providing information and technical competencies may increase awareness and knowledge about digital health interventions and the benefits of depression care.

Effects of an Acceptance-Facilitating Intervention on Acceptance and Usage of Digital Interventions for Binge Eating

OBJECTIVE

The authors aimed to test the impact of an acceptance-facilitating intervention (AFI) on acceptance ratings and usage patterns of digital interventions for binge eating.

METHOD

Participants with recurrent binge eating (N=398) were randomly assigned to an AFI or control condition. The AFI was an educational video providing information about digital interventions, including their capabilities, benefits, evidence base, and misconceptions. The primary outcome was acceptance of digital interventions. Secondary outcomes included drivers of acceptance and usage patterns.

RESULTS

The AFI group reported higher scores than the control group on acceptance, effort expectancy, facilitating conditions, motivations, and positive attitudes toward digital interventions. No group differences were observed on uptake or adherence rates at follow-up.

CONCLUSION

AFIs can positively influence participants' acceptance of digital interventions for binge eating and can address common barriers associated with their use. Further research is needed to understand how AFIs can best facilitate help seeking and treatment engagement in this population.

Digitale Phänotypisierung in der Psychologie – ein Quantensprung in der psychologischen Forschung?

Zusammenfassung. Digitale Phänotypisierung stellt einen neuen, leistungsstarken Ansatz zur Realisierung psychodiagnostischer Aufgaben in vielen Bereichen der Psychologie und Medizin dar. Die Grundidee besteht aus der Nutzung digitaler Spuren aus dem Alltag, um deren Vorhersagekraft für verschiedenste Anwendungsmöglichkeiten zu überprüfen und zu nutzen. Voraussetzungen für eine erfolgreiche Umsetzung sind elaborierte Smart Sensing Ansätze sowie Big Data-basierte Extraktions- (Data Mining) und Machine Learning-basierte Analyseverfahren. Erste empirische Studien verdeutlichen das hohe Potential, aber auch die forschungsmethodischen sowie ethischen und rechtlichen Herausforderungen, um über korrelative Zufallsbefunde hinaus belastbare Befunde zu gewinnen. Hierbei müssen rechtliche und ethische Richtlinien sicherstellen, dass die Erkenntnisse in einer für Einzelne und die Gesellschaft als Ganzes wünschenswerten Weise genutzt werden. Für die Psychologie als Lehr- und Forschungsdomäne bieten sich durch Digitale Phänotypisierung vielfältige Möglichkeiten, die zum einen eine gelebte Zusammenarbeit verschiedener Fachbereiche und zum anderen auch curriculare Erweiterungen erfordern. Die vorliegende narrative Übersicht bietet eine theoretische, nicht-technische Einführung in das Forschungsfeld der Digitalen Phänotypisierung, mit ersten empirischen Befunden sowie einer Diskussion der Möglichkeiten und Grenzen sowie notwendigen Handlungsfeldern.

Psychotherapy Under Lockdown: The Use and Experience of Teleconsultation by Psychotherapists During the First Wave of the COVID-19 Pandemic

Background

Facing the COVID-19 pandemic, some psychotherapists had to propose remote consultations, i.e., teleconsultation. While some evidence suggests positive outcomes from teleconsultation, professionals still hold negative beliefs towards it. Additionally, no rigorous and integrative practice framework for teleconsultation has yet been developed. This article aims to explore the use and experience of teleconsultation by 1) investigating differences between psychotherapists proposing and not proposing it; 2) evaluating the impact of negative attitudes towards teleconsultation on various variables; 3) determining the perceived detrimental effect of teleconsultation, as opposed to in-person, on the therapeutic relationship and personal experience; and 4) providing insights for the development of a teleconsultation practice framework.

Method

An online survey was distributed via different professional organisations across several countries to 246 (195 women) French-speaking psychotherapists.

Results

Psychotherapists who did not propose teleconsultation believed it to be more technically challenging than psychotherapists who proposed it, but felt less constrained to propose it, and had less colleagues offering it. Attitudes towards teleconsultation showed no significant associations with therapeutic relationship, personal experience, and percentage of teleconsultation. As compared to in-person, empathy, congruence, and therapeutic alliance were perceived to significantly deteriorate online, whereas work organisation was perceived to be significantly better. While most psychotherapists proposed remote consultations, they did not provide adaptations to such setting (e.g., ascertaining a neutral video background); nor used videoconferencing platforms meeting privacy and confidentiality criteria.

Conclusion

Training and evidenced-based information should be urgently provided to practitioners to develop rigorous guidelines and an ethically and legally safe practice framework.

Digital Interventions to Enhance Readiness for Psychological Therapy: Scoping Review

BACKGROUND

Psychological therapy is an effective treatment method for mental illness; however, many people with mental illness do not seek treatment or drop out of treatment early. Increasing client uptake and engagement in therapy is key to addressing the escalating global problem of mental illness. Attitudinal barriers, such as a lack of motivation, are a leading cause of low engagement in therapy. Digital interventions to increase motivation and readiness for change hold promise as accessible and scalable solutions; however, little is known about the range of interventions being used and their feasibility as a means to increase engagement with therapy.

OBJECTIVE

This review aimed to define the emerging field of digital interventions to enhance readiness for psychological therapy and detect gaps in the literature.

METHODS

A literature search was conducted in PubMed, PsycINFO, PsycARTICLES, Scopus, Embase, ACM Guide to Computing Literature, and IEEE Xplore Digital Library from January 1, 2006, to November 30, 2021. The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) methodology was applied. Publications were included when they concerned a digitally delivered intervention, a specific target of which was enhancing engagement with further psychological treatment, and when this intervention occurred before the target psychological treatment.

RESULTS

A total of 45 publications met the inclusion criteria. The conditions included depression, unspecified general mental health, comorbid anxiety and depression, smoking, eating disorders, suicide, social anxiety, substance use, gambling, and psychosis. Almost half of the interventions (22/48, 46%) were web-based programs; the other formats included screening tools, videos, apps, and websites. The components of the interventions included psychoeducation, symptom assessment and feedback, information on treatment options and referrals, client testimonials, expectation management, and pro-con lists. Regarding feasibility, of the 16 controlled studies, 7 (44%) measuring actual behavior or action showed evidence of intervention effectiveness compared with controls, 7 (44%) found no differences, and 2 (12%) indicated worse behavioral outcomes. In general, the outcomes were mixed and inconclusive owing to variations in trial designs, control types, and outcome measures.

CONCLUSIONS

Digital interventions to enhance readiness for psychological therapy are broad and varied. Although these easily accessible digital approaches show potential as a means of preparing people for therapy, they are not without risks. The complex nature of stigma, motivation, and individual emotional responses toward engaging in treatment for mental health difficulties suggests that a careful approach is needed when developing and evaluating digital readiness interventions. Further qualitative, naturalistic, and longitudinal research is needed to deepen our knowledge in this area.

Self-help Digital Interventions Targeted at Improving Psychological Well-being in Young People With Perceived or Clinically Diagnosed Reduced Well-being: Systematic Review

BACKGROUND

Levels of well-being are declining, whereas rates of mental health problems remain high in young people. The World Health Organization defines mental health as not merely the absence of mental disorder but also includes social and psychological well-being as integral to positive mental health, highlighting that mental health is applicable to young people with mental health conditions and those without a diagnosis of a mental health condition. Reduced mental well-being have been identified in studies of young people with clinical populations, as well as in populations consisting of nonclinical young people. Self-help digital interventions can be delivered at mass at a low cost and without the need for trained input, thereby facilitating access to support for well-being. Self-help interventions are effective in young people with mental health conditions, but systematic reviews of such studies have been limited to randomized controlled trials, have not included reduced well-being as an inclusion criterion, and do not consider engagement factors such as retention.

OBJECTIVE

The objective of this study was to systematically review all controlled studies of digitally delivered, self-administered interventions for young people aged 9 to 25 years, with perceived or clinically diagnosed reduced psychological well-being. Participant retention and effectiveness of the interventions were also explored.

METHODS

A systematic search of the PsycInfo, EMBASE, Cochrane, Scopus, and MEDLINE databases from inception to 2021, reference searches of relevant papers, and gray literature was carried out for digitally controlled studies conducted with young people with perceived or clinically diagnosed reduced well-being, aimed at improving psychological well-being. Data were extracted to identify the effectiveness and retention rates of the interventions and the quality of the studies.

RESULTS

Overall, 1.04% (12/1153) of studies met the inclusion criteria: 83% (10/12) of studies were randomized controlled trials and 17% (2/12) were controlled pre-post studies. Most (6/12, 50%) studies aimed to improve symptoms of depression; 3 interventions aimed at both anxiety and depressive symptoms and 2 studies aimed at improving social functioning difficulties. Owing to the high risk of bias across interventions and lack of similar outcome measures, a meta-analysis was not conducted. Retention rates across studies were regarded as good, with moderate to high retention. Overall, the findings indicated that predominantly self-administered self-help interventions improved well-being in the areas targeted by the intervention and identified additional areas of well-being that were positively affected by interventions. Few interventions supported psychological well-being that was different from those used by young people with a clinical diagnosis of mental illness or young people from neurodiverse backgrounds.

CONCLUSIONS

The findings, along with the advantages of self-help interventions, highlight the need for upscaling self-help interventions to better support vulnerable populations of young people who experience poor psychological well-being.

TRIAL REGISTRATION

PROSPERO CRD42019129321; https://tinyurl.com/4fb2t4fz.

Determining the Influencing Factors on Acceptance of eHealth Pain Management Interventions Among Patients With Chronic Pain Using the Unified Theory of Acceptance and Use of Technology: Cross-sectional Study

Background

Chronic pain is a complex disease with high prevalence rates, and many individuals who are affected do not receive adequate treatment. As a complement to conventional therapies, eHealth interventions could provide many benefits to a multimodal treatment approach for patients with chronic pain, whereby future use is associated with the acceptance of these interventions.

Objective

This study aims to assess the acceptance of eHealth pain management interventions among patients with chronic pain and identify the influencing factors on acceptance. A further objective of the study is to evaluate the viability of the Unified Theory of Acceptance and Use of Technology (UTAUT) model and compare it with its extended version in terms of explained variance of acceptance.

Methods

We performed a cross-sectional web-based study. In total, 307 participants with chronic pain, as defined according to the International Association for the Study of Pain criteria, were recruited through flyers, posters, and web-based inquiries between December 2020 and July 2021. In addition to sociodemographic and medical data, the assessment included validated psychometric instruments and an extended version of the well-established UTAUT model. For statistical analyses, group comparisons and multiple hierarchical regression analyses were performed.

Results

The acceptance of eHealth pain management interventions among patients with chronic pain was overall moderate to high (mean 3.67, SD 0.89). There was significant difference in acceptance among age groups (W=9674.0; r=0.156; P=.04). Effort expectancy (β=.37; P<.001), performance expectancy (β=.33; P<.001), and social influence (β=.34; P<.001) proved to be the most important predictors of acceptance. The extended UTAUT (including the original UTAUT factors as well as sociodemographic, medical, and eHealth-related factors) model explained 66.4% of the variance in acceptance, thus supporting the viability of the model. Compared with the original UTAUT model (performance expectancy, effort expectancy, and social influence), the extended model explained significantly more variance (F_25,278=1.74; P=.02).

Conclusions

Given the association between acceptance and future use, the knowledge of the influencing factors on acceptance should be used in the development and promotion of eHealth pain management interventions. Overall, the acceptance of eHealth pain management interventions was moderate to high. In total, 8 predictors proved to be significant predictors of acceptance. The UTAUT model is a valuable instrument for determining acceptance as well as the factors that influence acceptance of eHealth pain management interventions among patients with chronic pain. The extended UTAUT model provided the greatest predictive value for acceptance.

Comparing a ses-sensitive and an all-ses implementation strategy to improve participation rates of patients with a lower socioeconomic background in a web-based intervention for depressive complaints: a cluster randomised trial in primary care

Background

Depression is a major public health concern, which is most pronounced in population segments with a lower social-economic status (SES). E-health interventions for depressive complaints are proven to be effective, but their reach needs to be improved, especially among people with a lower socioeconomic status (SES). Implementing e-health interventions in the primary care setting with SES-sensitive guidance from General Practice nurses (GP nurses) may be a useful strategy to increase the reach of e-health in lower SES groups. We implemented an evidence-based online intervention that targets depressive complaints in primary care.

Methods

A pragmatic cluster-randomised trial was conducted in two parallel groups where a SES sensitive (SES-sens) implementation strategy with additional face-to-face guidance by GP nurses was compared to an all-SES implementation strategy. The primary outcome was the percentage of lower SES participants in either condition. Participation was defined as completing at least 1 face-to-face session and 2 online exercises. Participation rates were evaluated using logistic mixed modelling.

Results

In both conditions, the participation rates of lower SES participants were quite high, but were notably lower in the SES-sens implementation condition (44%) than in the all-SES implementation condition (58%). This unexpected outcome remained statistically significant even after adjusting for potential confounders between the conditions (Odds Ratio 0.43, 95%-CI 0.22 to 0.81). Less guidance was provided by the GP nurses in the SES-sens group, contrary to the implementation instructions.

Conclusions

From a public health point of view, it is good news that a substantial number of primary care patients with a lower SES level used the implemented e-health intervention. It is also positive that an all-SES implementation strategy performed well, and even outperformed a SES-sensitive strategy. However, this was an unexpected finding, warranting further research into tailoring implementation strategies of e-health interventions towards specific target groups in the primary care setting.

Trial registration

Netherlands Trial Register, identifier: NL6595, registered on 12 November 2017.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12875-022-01793-w.

Do You Mind? Examining the Impact of Psychoeducation Specificity on Perceptions of Mindfulness-Based Programs

Objective: Mindfulness-based programs (MBPs) cultivate the capacity for mindfulness, defined as nonjudgmental acceptance and awareness of present-moment experience. Mindfulness has been associated with a host of benefits for users, such as improved indices of mental well-being. We examined public perceptions of acceptability (i.e., how appropriate the treatment is for a given problem) and credibility (i.e., how logical and convincing a treatment seems) of MBPs as a form of mental health intervention. The main objective of this study was to examine whether higher specificity of psychoeducational content improved perceptions of the acceptability and credibility of MBPs. Methods: Participants (n = 188; female% = 39.4) were recruited online and randomly assigned to one of two conditions. In one condition, participants received balanced and evidence-based psychoeducation specific to MBPs for mental health. In the other condition, participants received general information about psychological treatments for mental health. Acceptability and credibility perceptions were measured by questionnaires across time (pre-and post-psychoeducation) and across specificity conditions (specific vs. general psychoeducation). Results: Participants randomized to the general, but not the specific, psychoeducation-endorsed higher scores of acceptability of MBPs post-psychoeducation. Further, participants endorsed higher scores of MBP credibility post-psychoeducation, regardless of the specificity of psychoeducation provided. Conclusions: Perceptions of the acceptability of MBPs were improved following exposure to general psychoeducation, and perceptions of the credibility of MBPs were improved following psychoeducation, regardless of specificity. Examining public perceptions of MBPs is important for informing strategies to support access to and use of MBPs.

A pilot study to evaluate feasibility and acceptability of training mental health workers in India to select case-specific intervention procedures within a dynamic modular treatment designed for a low-resource setting

RATIONALE, AIMS AND OBJECTIVES

A key consideration in designing scalable solutions for improving global mental health involves balancing the need for interventions to be uncomplicated for mental health workers (MHWs) and the need for the intervention to be widely applicable to many clients. Often these needs are in competition, since interventions are routinely simplified by removing procedures or reducing their dynamic responsivity, which in turn lowers their overall utility in serving large, clinically diverse populations. The principal aim of this pilot study involved evaluating the feasibility and acceptability of a brief strategy designed to delegate problem classification and practice selection to MHWs operating within a flexible, modular, cognitive behavioural protocol. A secondary aim involved gathering data on which to base a hypothesis regarding the potential effectiveness of this strategy.

METHOD

Within an open trial, an educationally diverse sample of local MHWs in India (N = 18) reviewed fictional case vignettes, classified mental health problems, and then selected practices before and after a two-hour training that included a one-page decision-making resource. Feasibility was measured by assessing the integrity of the study protocol and training, the measurement and administration of questionnaires as well as study recruitment and completion. Acceptability of the intervention was measured by MHW-perceived performance, ease of use, value, importance, and intention for continued use. Decision-making accuracy was assessed by comparing MHWs' clinical decisions with criteria established through consensus among psychologists with expertise in modular protocols.

RESULTS

Results suggested high feasibility and acceptability on all metrics. Secondary analysis revealed that MHW's decision-making accuracy and confidence also significantly improved, providing a basis for the hypothesis that this brief approach is useful for building MHW capacity in low-resource settings.

CONCLUSION

Overall these findings provide initial support for these methods and potential training outcomes to test within a larger, randomized controlled trial.

Digital Facilitation to Support Patient Access to Web-Based Primary Care Services: Scoping Literature Review

BACKGROUND

The use of web-based services within primary care (PC) in the National Health Service in England is increasing, with medically underserved populations being less likely to engage with web-based services than other patient groups. Digital facilitation-referring to a range of processes, procedures, and personnel that seek to support patients in the uptake and use of web-based services-may be a way of addressing these challenges. However, the models and impact of digital facilitation currently in use are unclear.

OBJECTIVE

This study aimed to identify, characterize, and differentiate between different approaches to digital facilitation in PC; establish what is known about the effectiveness of different approaches; and understand the enablers of digital facilitation.

METHODS

Adopting scoping review methodology, we searched academic databases (PubMed, EMBASE, CINAHL, Web of Science, and Cochrane Library) and gray literature published between 2015 and 2020. We conducted snowball searches of reference lists of included articles and articles identified during screening as relevant to digital facilitation, but which did not meet the inclusion criteria because of article type restrictions. Titles and abstracts were independently screened by 2 reviewers. Data from eligible studies were analyzed using a narrative synthesis approach.

RESULTS

A total of 85 publications were included. Most (71/85, 84%) were concerned with digital facilitation approaches targeted at patients (promotion of services, training patients to improve their technical skills, or other guidance and support). Further identified approaches targeted PC staff to help patients (eg, improving staff knowledge of web-based services and enhancing their technical or communication skills). Qualitative evidence suggests that some digital facilitation may be effective in promoting the uptake and use of web-based services by patients (eg, recommendation of web-based services by practice staff and coaching). We found little evidence that providing patients with initial assistance in registering for or accessing web-based services leads to increased long-term use. Few studies have addressed the effects of digital facilitation on health care inequalities. Those that addressed this suggested that providing technical training for patients could be effective, at least in part, in reducing inequalities, although not entirely. Factors affecting the success of digital facilitation include perceptions of the usefulness of the web-based service, trust in the service, patients' trust in providers, the capacity of PC staff, guidelines or regulations supporting facilitation efforts, and staff buy-in and motivation.

CONCLUSIONS

Digital facilitation has the potential to increase the uptake and use of web-based services by PC patients. Understanding the approaches that are most effective and cost-effective, for whom, and under what circumstances requires further research, including rigorous evaluations of longer-term impacts. As efforts continue to increase the use of web-based services in PC in England and elsewhere, we offer an early typology to inform conceptual development and evaluations.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42020189019; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=189019.

Acceptance of E-mental health interventions and its determinants among psychotherapists-in-training during the first phase of COVID-19

BACKGROUND

Although E-mental health (EMH) interventions have been shown to be effective in the treatment of mental health problems and empirical knowledge regarding EMH acceptance for different occupations in health care is established, little is known regarding EMH and psychotherapists-in-training. This seems particularly relevant as psychotherapists-in-training will shape the future health care system since they are as being the next generation of psychotherapists. With social distancing measures in place, COVID-19 has led to an increased demand for EMH, which is broadening the way psychological treatments are delivered.

OBJECTIVE

The present study aims to assess the acceptance of EMH and its determinants among psychotherapists-in-training of different EMH modalities and to retrospectively compare current acceptance with pre-COVID-19 times.

METHODS

Altogether, 29 training institutions in Switzerland and 232 training institutions in Germany were contacted, resulting in a sample of N = 216 psychotherapists-in-training (88.4 % female) who filled out the self-administered web-based questionnaire in summer 2020. The acceptance of EMH was assessed considering several different modalities (e.g., videoconference, guided self-help programs) as well as further possible predictors of EMH acceptance based on the Unified Theory of Acceptance and Use of Technology. Acceptance scores were categorized as low, moderate or high based on prior research and predicted using multiple regression.

RESULTS

Acceptance of EMH was moderate (M = 3.40, SD = 1.11) and increased significantly (t(215) = 12.03, p < .01; d = 0.88) compared to pre-COVID-19 (M = 2.67, SD = 1.11); however, acceptance varied significantly between modalities (F(2.6, 561.7) = 62.93, p < .01, partial η² = 0.23), with videoconferencing being the most accepted and unguided programs the least. Stepwise regression including three of 14 variables (R² = 0.55, F (14, 201) = 17.68, p < .001) identified performance expectancy, social influence and concerns about the therapeutic alliance as significant determinants of EMH acceptance.

DISCUSSION

Acceptance by psychotherapists-in-training was moderate and in line with prior research and comparable with other clinicians' acceptance scores. Performance expectancy, social influence and concerns about the therapeutic alliance were predictive of EMH acceptance, indicating their significance in the implementation of EMH in health care.

CONCLUSION

These findings underline the importance of the aforementioned determinants of EMH acceptance and the need for further studies investigating EMH acceptance in order to derive adequate educational programs and to facilitate dissemination among psychotherapists-in-training.

Virtual Reality for Distraction and Relaxation in a Pediatric Hospital Setting: An Interventional Study With a Mixed-Methods Design

Accumulating evidence supports the use of virtual reality (VR) as an effective pain and anxiety management tool for pediatric patients during specific medical procedures in dedicated patient groups. However, VR is still not widely adopted in everyday clinical practice. Feasibility and acceptability measures of clinicians' experiences are often missing in studies, thereby omitting an important stakeholder in VR use in a clinical setting. Therefore, the aim of this mixed-methods study was to investigate the feasibility, acceptability, tolerability (primary outcomes), and preliminary effectiveness (secondary outcome) of Relaxation-VR in both pediatric patients aged 4–16 years and clinicians. Relaxation-VR is a VR application prototype aimed to provide distraction and relaxation for a variety of patient populations and procedures and is used to reduce anxiety, stress (tension) and pain for children in hospital. Multiple measures of acceptability, feasibility and tolerability, and pre-to-post changes in measures of pain, anxiety, stress and happiness were assessed in pediatric patients. At the end of the study, acceptability and feasibility of VR use was assessed in clinicians. Results indicate that VR use (in particular, the Relaxation-VR prototype) for both distraction and relaxation is acceptable, feasible and tolerable for a variety of pediatric patients aged 4–16 years, as assessed in both patients and clinicians, and can reduce anxiety, pain and tension (stress), and increase happiness in a hospital setting.

Determinants of Acceptance of Weight Management Applications in Overweight and Obese Individuals: Using an Extended Unified Theory of Acceptance and Use of Technology Model

Overweight and obesity carry a tremendous burden in terms of physiological and psychological comorbidities. There is a great variety of weight management applications to support weight reduction, but a systematical analysis of individuals’ needs and requirements to adopt sustaining lifestyle changes is missing so far. This study aimed to assess the acceptance of such applications and its underlying predictors in individuals with overweight/obesity. A cross-sectional study was conducted, including 439 overweight/obese individuals. Health-related internet use and acceptance of weight management applications were examined using a modified questionnaire based on the Unified Theory of Acceptance and Use of Technology (UTAUT). The general acceptance of weight management applications was high, with significant age differences. Compared to older individuals, younger ones showed a higher acceptance. BMI was not significantly associated with acceptance. Besides psychometric data and eHealth-related data, performance expectancy, effort expectancy, and social influence proved to be significant predictors for acceptance. The total variance explanation provided by the extended UTAUT model was 61.2%. The knowledge of the influencing factors on acceptance might be useful in developing, optimizing, and establishing weight management applications. For determining acceptance and its predictors of weight management applications, the UTAUT model is a valid approach.

The Effect of Dissemination Pathways on Uptake and Relative Costs for a Transdiagnostic, Self-guided Internet Intervention for Reducing Depression, Anxiety, and Suicidal Ideation: Comparative Implementation Study

Background

Self-guided web-based programs are effective; however, inadequate implementation of these programs limits their potential to provide effective and low-cost treatment for common mental health problems at scale. There is a lack of research examining optimal methods for the dissemination of web-based programs in the community.

Objective

This study aimed to compare the uptake, reach, relative costs, and adherence associated with 3 community-based pathways for delivering a low-intensity web-based transdiagnostic mental health program. The 3 dissemination pathways were social media advertising, advertising in general practice, and advertising in pharmacies.

Methods

Participants were recruited on the web, from general practices, or from community pharmacies; completed a screener for psychological distress; and were offered the 4-week FitMindKit program—a 12-module psychotherapeutic intervention. Uptake was defined as the number of participants who enrolled in the web-based program; reach was defined as the rate of uptake per exposure; and costs were calculated based on staff time, equipment, and advertising. Adherence was assessed as the number of modules of FitMindKit completed by the participants.

Results

Uptake comprised 1014 participants who were recruited through the 3 dissemination pathways: on the web (991/1014, 97.73%), in general practice (16/1014, 1.58%), and in pharmacy (7/1014, 0.69%). Reach was highest for social media: 1 in every 50 people exposed to web-based advertising took up the intervention compared with 1 in every 441 in general practitioner clinics and 1 in every 1708 in pharmacies. The dissemination cost was US $4.87 per user on social media, US $557 per user for general practitioner clinics, and US $1272 per user for pharmacy dissemination. No significant differences in adherence were observed between the conditions, whereas all pathways showed an underrepresentation of men and linguistic diversity.

Conclusions

The web-based dissemination pathway was the most efficient and cost-effective for delivering a self-guided internet-based mental health program to people in the community. More research is needed to identify how best to engage men and those with culturally diverse backgrounds in web-based interventions.

Trial Registration

Australian New Zealand Clinical Trials Registry ACTRN12618001688279; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=376113

Supporting People having Lost a Close Person by Bereavement or Separation: Study Protocol of a Randomized Controlled Trial Comparing Two French-Language Internet Interventions (Preprint)

Background

Internet-based interventions (IBIs) are as efficient as face-to-face psychotherapy for a variety of mental health disorders, including complicated grief. Most evidence stems from guided IBIs. However, recent research indicates that the benefit of guidance is lower in more interactive IBIs. As such, providing guidance only to people requiring it (guidance on demand) appears a cost-effective solution. This is particularly important to develop given the recent rise in grief symptoms in the context of the COVID-19 pandemic. This paper presents the protocol of a randomized controlled trial comparing the efficacy and adherence rate of 2 IBIs for grief-related symptoms after the loss a close one following death or romantic separation, using a guidance on demand framework. LIVIA 2.0 was developed based on theoretical and empirical findings on grief processes and IBIs, and it will be compared to LIVIA 1 that has already demonstrated its efficacy.

Objective

Our main hypotheses are that LIVIA 1 (control condition) and LIVIA 2.0 (experimental condition) increase participants’ well-being and decrease their distress at posttest and at follow-up, that LIVIA 2.0 is more efficient than LIVIA 1 for all outcomes, and that LIVIA 2.0 has less dropouts than LIVIA 1.

Methods

Outcomes will be assessed at pretest, posttest (12 weeks later), and follow-up (24 weeks later). We will recruit 234 participants through a variety of means, including social media and contacts with the press. Primary outcomes are grief symptoms, depressive symptoms, and eudemonic well-being. Secondary outcomes are anxiety symptoms, grief coping strategies, aspects related to self-identity reorganization, and program satisfaction. LIVIA 2.0 participants will additionally undergo a weekly mood and grief symptom monitoring, allowing us to explore the short-term efficacy of the sessions.

Results

The creation and development of the content of LIVIA 2.0 was completed during the first phase of the project. Participant recruitment will begin in May 2022 and will last until January 2023.

Conclusions

This study will emphasize the relevance of the innovations included in LIVIA 2.0 regarding the efficacy and dropout rate of IBIs for grief symptoms and will allow investigations on how these changes impact the demand for guidance. In the current postpandemic times, developing and assessing IBIs targeting grief symptoms are particularly critical given the rise in grief-related symptoms.

Trial Registration

clinicaltrials.gov NCT05219760; https://tinyurl.com/3dzztjts

International Registered Report Identifier (IRRID)

PRR1-10.2196/39026

Effects of a video intervention on physicians' acceptance of pain apps: a randomised controlled trial

OBJECTIVES

The aim of our study was to determine and enhance physicians' acceptance, performance expectancy and credibility of health apps for chronic pain patients. We further investigated predictors of acceptance.

DESIGN

Randomised experimental trial with a parallel-group repeated measures design.

SETTING AND PARTICIPANTS

248 physicians working in various, mainly outpatient settings in Germany.

INTERVENTION AND OUTCOME

Physicians were randomly assigned to either an experimental group (short video about health apps) or a control group (short video about chronic pain). Primary outcome measure was acceptance. Performance expectancy and credibility of health apps were secondary outcomes. In addition, we assessed 101 medical students to evaluate the effectiveness of the video intervention in young professionals.

RESULTS

In general, physicians' acceptance of health apps for chronic pain patients was moderate (M=9.51, SD=3.53, scale ranges from 3 to 15). All primary and secondary outcomes were enhanced by the video intervention: A repeated-measures analysis of variance yielded a significant interaction effect for acceptance (F(1, 246)=15.28, p=0.01), performance expectancy (F(1, 246)=6.10, p=0.01) and credibility (F(1, 246)=25.61, p<0.001). The same pattern of results was evident among medical students. Linear regression analysis revealed credibility (β=0.34, p<0.001) and performance expectancy (β=0.30, p<0.001) as the two strongest factors influencing acceptance, followed by scepticism (β=-0.18, p<0.001) and intuitive appeal (β=0.11, p=0.03).

CONCLUSIONS AND RECOMMENDATIONS

Physicians' acceptance of health apps was moderate, and was strengthened by a 3 min video. Besides performance expectancy, credibility seems to be a promising factor associated with acceptance. Future research should focus on ways to implement acceptability-increasing interventions into routine care.

Akzeptanz und Nutzung von E-Mental-Health-Angeboten unter Studierenden

Zielsetzung

Trotz der Effektivität verschiedener E‑Mental-Health-Interventionen wurden bislang verhältnismäßig geringe Nutzungsraten, selbst unter Digital Natives wie Studierenden, identifiziert. Ziel dieser Studie ist daher, das Verhältnis der generellen Akzeptanz, dem konkreten Interesse und der tatsächlichen Registrierung für ausgewählte, zielgruppenspezifische E‑Mental-Health-Programme zu untersuchen.

Methodik

Wir führten eine Sekundäranalyse einer in ein Online-Experiment eingebetteten Befragungsstudie mit n = 451 Studierenden (89 % Fernstudierende) zu Informationseffekten auf die Akzeptanz von E‑Mental-Health-Angeboten mit Untersuchung der Nutzungsabsicht sowie des Interesses im Verhältnis zu objektiven Daten, d. h. Registrierungen für ausgewählte E‑Mental-Health-Angebote zur Stressprävention und Gesundheitsförderung, durch.

Ergebnisse

Eine hierarchische Regressionsanalyse ergab das Stresslevel, wahrgenommene Ähnlichkeit mit Informationsquellen und Einstellungen als Determinanten der Nutzungsabsicht (R2 = 0,49). Aktuelles Interesse an der Teilnahme an einem bestimmten E‑Mental-Health-Angebot berichtete weniger als ein Drittel der Stichprobe (31 %). Überdies war die Intentions-Verhaltens-Lücke bei der Follow-up-Messung (n/N in %) beim Programm für Berufstätige geringer (85 % registriert) als für das Programm für Studierende (69 % registriert; insgesamt: 77 %).

Schlussfolgerung

Über drei Viertel der interessierten Studierenden haben sich für ein Programm registriert, was für die Bereitstellung einfacher, direkter Zugangsoptionen spricht. Zukünftige Studien sollten die Determinanten der Nutzung sowie Adhärenz bei E‑Mental-Health-Angeboten in Abhängigkeit von der Akzeptanz für verschiedene Subgruppen von Studierenden zur Entwicklung passgenauer Akzeptanzförderungsmaßnahmen genauer untersuchen.

Acceptance of E-Mental Health Services for Different Application Purposes Among Psychotherapists in Clinical Training in Germany and Switzerland: Secondary Analysis of a Cross-Sectional Survey

Background

Despite solid evidence supporting the efficacy of electronic mental health (EMH) services, their acceptance among psychotherapists is limited and uptake rates remain low. However, the acceptance of different EMH services has yet barely been examined in future generations of psychotherapists in a differentiated manner. The aims of this study were (1) to elaborate the intention to use various EMH services for different application purposes and (2) to determine predictors of EMH service acceptance among psychotherapists in clinical training (PiT).

Materials and Methods

Our paper is based on a secondary data analysis of a cross-sectional survey. Respondents were recruited via recognized educational institutions for psychotherapy within Germany and the German-speaking part of Switzerland between June and July of 2020. The survey contained items on the intention to use different EMH services (i.e., guided and unguided programs, virtual reality, psychotherapy by telephone and videoconference) for various application purposes (i.e., prevention, treatment addition, treatment substitute, aftercare). Potential predictors of EMH service acceptance (e.g., barriers and advantages) were examined based on an extension of the Unified Theory of Acceptance and Use of Technology (UTAUT).

Results

Most of the n = 216 respondents were female (88.4%) and located in Germany (72.2%). General acceptance of EMH was moderate (M = 3.4, SD = 1.12, range 1-5), while acceptance of psychotherapy via videoconference was highest (M = 3.7, SD = 1.15) and acceptance of unguided programs was lowest (M = 2.55, SD = 1.14). There was an interaction effect of EMH service and application purpose (η2 = 0.21). Barriers and advantages both had a uniform influence on EMH service acceptance (Pr > 0.999), while impersonality, legal concerns, concerns about therapeutic alliance, simplified information provision, simplified contact maintenance, time flexibility, and geographic flexibility were significant predictors (all p < 0.05). Results showed that the extended UTAUT model was the best fitting model to predict EMH service acceptance (Pr > 0.999).

Conclusions

The intention to use different EMH services varied between application purposes among PiT. To increase acceptance of EMH services and reduce misconceptions, we identified predictors that should be addressed in future acceptance-facilitating interventions when educating PiT.

Acceptability and Feasibility of a Guided Biopsychosocial Online Intervention for Cancer Patients Undergoing Chemotherapy

Chemotherapy is a physically and psychologically highly demanding treatment, and specific Internet-based interventions for cancer patients addressing both physical side effects and emotional distress during chemotherapy are scarce. This study examined the feasibility and acceptability of a guided biopsychosocial online intervention for cancer patients undergoing chemotherapy (OPaCT). A pre-post, within-participant comparison, mixed-methods research design was followed. Patients starting chemotherapy at the outpatient clinic of the National Center for Tumor Diseases in Heidelberg, Germany, were enrolled. Feasibility and acceptability were evaluated through intervention uptake, attrition, adherence and participant satisfaction. As secondary outcomes, PHQ-9, GAD-7, SCNS-SF34-G and CBI-B-D were administered. A total of N = 46 patients participated in the study (female 76.1%). The age of participants ranged from 29 to 70 years (M = 49.3, SD = 11.3). The most prevalent tumour diseases were breast (45.7%), pancreatic (19.6%), ovarian (13.1%) and prostate cancer (10.8%). A total of N = 37 patients (80.4%) completed the OPaCT intervention. Qualitative and quantitative data showed a high degree of participant satisfaction. Significant improvements in the SCNS-SF34 subscale 'psychological needs' were found. Study results demonstrate the feasibility and acceptability of the intervention. The results show that OPaCT can be implemented well, both in the treatment process and in participants' everyday lives. Although it is premature to make any determination regarding the efficacy of the intervention tested in this feasibility study, these results suggest that OPaCT has the potential to reduce unmet psychological care needs of patients undergoing chemotherapy.