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

{"title":"Intervention effects and mechanisms of online single session therapy on test anxiety in university students: A randomized controlled trial","authors":"Liying Chen ,&nbsp;Jiani Yan ,&nbsp;Low Teck Keong ,&nbsp;Ya Zhang","doi":"10.1016/j.invent.2025.100839","DOIUrl":"10.1016/j.invent.2025.100839","url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to develop an online Single-Session Therapy (SST) intervention program for test anxiety and explore the intervention effects and mechanisms underlying the effectiveness of this SST program for university students experiencing test anxiety, utilizing a randomized controlled trial.</div></div><div><h3>Methods</h3><div>Sixteen psychological counselors and 57 university students with test anxiety were recruited through online platforms. The student participants were randomly assigned to either the online SST intervention group or the control group. Both groups completed scale assessments on the day before the intervention, the day of the intervention, and on days 4, 7, and 10 after the intervention.</div></div><div><h3>Results</h3><div>Online SST effectively alleviated college students' test anxiety. In addition, SST also increased students' self-compassion levels, and self-compassion mediated the relationship between SST and test anxiety; meanwhile, counseling style preference matching significantly increased students' self-compassion levels, but did not positively affect their test anxiety levels.</div></div><div><h3>Conclusion</h3><div>The online SST intervention targeting test anxiety effectively improves self-compassion and reduces test anxiety among university students. However, further research is needed to compare the advantages of SST with conventional counseling programs and to explore the mechanisms underlying counseling style preference matching.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"41 ","pages":"Article 100839"},"PeriodicalIF":3.6,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of Powerly, unguided mobile app intervention preventing postpartum depression and anxiety & study protocol of randomized clinical trial","authors":"Marta A. Marciniak ,&nbsp;Judith Rohde ,&nbsp;Kenneth S.L. Yuen ,&nbsp;Harald Binder ,&nbsp;Henrik Walter ,&nbsp;Matthias J. Wieser ,&nbsp;Raffael Kalisch ,&nbsp;Karin Roelofs ,&nbsp;Birgit Kleim","doi":"10.1016/j.invent.2025.100843","DOIUrl":"10.1016/j.invent.2025.100843","url":null,"abstract":"<div><h3>Background</h3><div>Up to 30 % of pregnant individuals experience high levels of stress. At the same time, 15–20 % of new mothers develop postpartum depression, and 25–35 % experience postpartum anxiety. Mobile applications have the potential to provide an accessible, scalable solution to these mental health challenges. However, previous evidence indicates that none of the commercially available apps for perinatal depression and anxiety have been rigorously evaluated through randomized clinical trials (RCTs), and the quality of these apps remains moderate. In response to this gap, we aim to develop and empirically evaluate Powerly, a mobile app intervention designed to prevent postpartum depression and anxiety.</div></div><div><h3>Methods</h3><div>We will conduct a two-arm RCT with 140 healthy pregnant participants to assess the impact of Powerly use compared to care as usual (CAU). Powerly is based on cognitive behavioral therapy techniques and developed in consultation with stakeholders, including healthcare professionals and pregnant individuals. It will offer personalized psychological support tailored to users' needs for four weeks. Self-reported mental health assessments will be collected at baseline, after four weeks of app use, and six weeks postpartum.</div></div><div><h3>Discussion</h3><div>We anticipate that participants using Powerly will demonstrate significant improvements in mental health outcomes, including reduced rates of postpartum depression, compared to the CAU group. Additionally, we expect positive changes in emotion regulation, resilience, and mother and child outcomes, such as enhanced maternal bonding and a more positive birth experience. If proved effective, Powerly can offer a scalable, publicly accessible solution for pregnant individuals in need.</div></div><div><h3>Trial registration</h3><div><span><span>NCT06610552</span><svg><path></path></svg></span></div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"41 ","pages":"Article 100843"},"PeriodicalIF":3.6,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence vs. human expert: Licensed mental health clinicians' blinded evaluation of AI-generated and expert psychological advice on quality, empathy, and perceived authorship","authors":"Ludwig Franke Föyen ,&nbsp;Emma Zapel ,&nbsp;Mats Lekander ,&nbsp;Erik Hedman-Lagerlöf ,&nbsp;Elin Lindsäter","doi":"10.1016/j.invent.2025.100841","DOIUrl":"10.1016/j.invent.2025.100841","url":null,"abstract":"<div><h3>Background</h3><div>The use of artificial intelligence for psychological advice shows promise for enhancing accessibility and reducing costs, but it remains unclear whether AI-generated advice can match the quality and empathy of experts.</div></div><div><h3>Method</h3><div>In a blinded, comparative cross-sectional design, licensed psychologists and psychotherapists assessed the quality, empathy, and authorship of psychological advice, which was either AI-generated or authored by experts.</div></div><div><h3>Results</h3><div>AI-generated responses were rated significantly more favorable for emotional (OR = 1.79, 95 % CI [1.1, 2.93], <em>p</em> = .02) and motivational empathy (OR = 1.84, 95 % CI [1.12, 3.04], <em>p</em> = .02). Ratings for scientific quality (<em>p</em> = .10) and cognitive empathy (<em>p</em> = .08) were comparable to expert advice. Participants could not distinguish between AI- and expert-authored advice (<em>p</em> = .27), but <em>perceived</em> expert authorship was associated with more favorable ratings across these measures (ORs for perceived AI vs. perceived expert ranging from 0.03 to 0.15, all <em>p</em> &lt; .001). For overall preference, AI-authored advice was favored when assessed blindly based on its actual source (<em>β</em> = 6.96, <em>p</em> = .002). Nevertheless, advice <em>perceived</em> as expert-authored was also strongly preferred (<em>β</em> = 6.26, <em>p</em> = .001), with 93.55 % of participants preferring the advice they believed came from an expert, irrespective of its true origin.</div></div><div><h3>Conclusions</h3><div>AI demonstrates potential to match expert performance in asynchronous written psychological advice, but biases favoring perceived expert authorship may hinder its broader acceptance. Mitigating these biases and evaluating AI's trustworthiness and empathy are important next steps for safe and effective integration of AI in clinical practice.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"41 ","pages":"Article 100841"},"PeriodicalIF":3.6,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144204873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The use of co-design with young people for digital mental health support development: A systematic review","authors":"Órla McGovern,&nbsp;Shauna Glennon,&nbsp;Isobel Walsh,&nbsp;Pamela Gallagher,&nbsp;Darragh McCashin","doi":"10.1016/j.invent.2025.100835","DOIUrl":"10.1016/j.invent.2025.100835","url":null,"abstract":"<div><div>Co-design methods offer an opportunity to meaningfully involve young people in research to ensure that designed supports are useable and responsive to their needs. However, how co-design is currently being applied with young people in the digital mental health field is unclear. This review aimed to critically synthesise the use of co-design with young people to design or modify digital mental health interventions and supports. Six databases were searched for empirical papers published in English from 2012 onwards. Papers were included if they reported on young people aged up to 25 years of age who were involved in the co-design of an online mental health intervention or support. A narrative synthesis of 30 papers meeting these specific criteria was completed. The results highlighted an interchangeable and inconsistent terminology used to described co-design and related approaches across papers. The level of inclusion of young people varied and there was a lack of consideration for power dynamics. Future research should aim to establish a clear and consistent definition and terminology for co-design along with a rigorous gold-standard framework for reporting co-design in order to ensure the process is being carried out in line with its original purpose. Implications for research and practice in the youth co-design field are discussed.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"41 ","pages":"Article 100835"},"PeriodicalIF":3.6,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ISRII 2025: Advancing equity in digital interventions across the lifespan - an introduction to this year's conference in San Diego, CA — August 4–7, 2025","authors":"Anna-Carlotta Zarski","doi":"10.1016/j.invent.2025.100836","DOIUrl":"10.1016/j.invent.2025.100836","url":null,"abstract":"","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"41 ","pages":"Article 100836"},"PeriodicalIF":4.1,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting the strength of next-day negative emotion states in body dysmorphic disorder using passive smartphone data: An intensive longitudinal assessment study","authors":"Hilary Weingarden ,&nbsp;Xiang Meng ,&nbsp;Michael Armey ,&nbsp;Jukka-Pekka Onnela ,&nbsp;Adam Jaroszewski ,&nbsp;Caroline H. Armstrong ,&nbsp;Sabine Wilhelm","doi":"10.1016/j.invent.2025.100833","DOIUrl":"10.1016/j.invent.2025.100833","url":null,"abstract":"<div><div>Body dysmorphic disorder (BDD) is a debilitating and common psychiatric illness associated with high rates of suicide and substance use disorders. Negative emotions – particularly shame and anxiety – are elevated in BDD and correlate with suicide risk and substance use. It is critical to have reliable and valid tools to assess negative emotions in BDD. Retrospective self-reports are subject to recall biases, average one's experiences over broad time frames, and are burdensome to complete. Alternatively, sensor-based digital phenotyping has potential to yield low-burden emotion assessment within acute time frames. This study aimed to use smartphone sensor data (GPS, accelerometer, collected over 3 months) to predict next-day peak shame, anxiety, and general negative emotion states (collected via 28 days of ecological momentary assessment) in 83 adults with BDD. We tested cumulative link mixed models [CLMM]) and random forest [RF] models. RFs outperformed CLMMs across prediction performance metrics and had overall prediction accuracies (i.e., proportion of predicted scores that exactly matched actual scores, out of total predictions) of 42.1–50.0 %, versus 10.9–20.2 % for CLMMs. Binary predictive performance at high levels of negative emotion was moderate. Developing unobtrusive methods for predicting shame, anxiety, and general negative emotion states over acute time frames using smartphone sensor data can enable just-in-time intervention opportunities, as a future step to reduce risk for suicide and substance use in BDD. Models might be strengthened with larger samples, data collected over longer time frames, and incorporation of wearable-based physiological data.</div><div><strong>Trial Registration:</strong> <span><span>ClinicalTrials.gov</span><svg><path></path></svg></span> Identifier: <span><span>NCT04254575</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100833"},"PeriodicalIF":3.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital interventions for supporting alcohol abstinence in aftercare – a systematic review","authors":"Luana Lenzi ,&nbsp;Aaliya Ibrahim ,&nbsp;David Brough ,&nbsp;Alexander Thompson","doi":"10.1016/j.invent.2025.100832","DOIUrl":"10.1016/j.invent.2025.100832","url":null,"abstract":"<div><h3>Background and aims</h3><div>Alcohol Use Disorders (AUD) are associated with numerous negative health and societal consequences. Relapse is common among individuals with AUD following discharge from treatment programs, often due to a lack of continuing care and barriers to accessing in-person interventions. Digital interventions may have the potential to overcome these barriers. This systematic review aims to assess the efficacy of digital interventions in supporting abstinence following AUD treatment.</div></div><div><h3>Methods</h3><div>We searched the databases <em>Embase, Medline,</em> and <em>APA PsycInfo</em> for randomized controlled trials (RCTs) that evaluated digital interventions designed to support alcohol-dependent individuals to maintain abstinence after discharge from treatment programs. Studies in which participants were not abstinent at the time of randomization were excluded.</div></div><div><h3>Results</h3><div>Eleven studies were identified, with interventions including text messages, smartphones apps, wireless breathalysers, telephone-based support, and e-books. Four studies (2 using apps and 2 using supportive text messages) reported statistically significant results in prolonging abstinence. However, one intervention using a cue exposure therapy (CET) app found increased relapse rates in all groups. The risk of bias across studies ranged from moderate to high.</div></div><div><h3>Conclusion</h3><div>There is insufficient evidence to support the efficacy of digital interventions in maintaining abstinence after AUD treatment discharge. While digital interventions may improve the accessibility and uptake of aftercare services to prevent relapse, further research is needed.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100832"},"PeriodicalIF":3.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dropout and completion in iCBT for university students: Insights from a thematic analysis","authors":"Jurrijn A. Koelen ,&nbsp;Lisa de Koning ,&nbsp;Matilda K. Nottage ,&nbsp;Anke M. Klein ,&nbsp;Claudia M. van der Heijde ,&nbsp;Peter Vonk ,&nbsp;Reinout W. Wiers","doi":"10.1016/j.invent.2025.100831","DOIUrl":"10.1016/j.invent.2025.100831","url":null,"abstract":"<div><div>Online cognitive behavioral therapy (iCBT) is a promising treatment for depression and anxiety among university students but faces high dropout rates. Understanding the reasons behind dropout or completion can help improve the implementation of iCBT in educational settings. Semi-structured phone interviews were conducted with 32 students who dropped out early (<em>n</em> = 9), midway (<em>n</em> = 12), or completed (<em>n</em> = 11) guided or unguided iCBT in the context of a randomized controlled trial. Data were analyzed using <span><span>Braun and Clarke's (2012)</span></span> thematic analysis. Common themes among dropouts included personal factors (like competing priorities), perceived difficulty or redundancy of the intervention, and lack of human interaction. Early dropouts uniquely cited disbelief in the intervention's efficacy and preference for other mental health support. Midway dropouts mentioned issues with the interactivity, feedback, content, perceived effectiveness, and lack of personalization. Completers had positive initial impressions, valued the online format, found the exercises and guidance helpful, and felt cared for. The themes identified among participants who dropped out from or completed the iCBT intervention provide valuable insights into factors which may be of importance for retention. Implications regarding setting expectations, participant selection, interactive functionalities, personalized feedback, and the role of therapist guidance are discussed.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100831"},"PeriodicalIF":3.6,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The promise and challenges of computer mouse trajectories in DMHIs – A feasibility study on pre-treatment dropout predictions","authors":"Kirsten Zantvoort ,&nbsp;Jennifer J. Matthiesen ,&nbsp;Pontus Bjurner ,&nbsp;Marie Bendix ,&nbsp;Ulf Brefeld ,&nbsp;Burkhardt Funk ,&nbsp;Viktor Kaldo","doi":"10.1016/j.invent.2025.100828","DOIUrl":"10.1016/j.invent.2025.100828","url":null,"abstract":"<div><div>With the impetus of Digital Mental Health Interventions (DMHIs), complex data can be leveraged to improve and personalize mental health care. However, most approaches rely on a very limited number of often costly features. Computer mouse trajectories can be unobtrusively and cost-efficiently gathered and seamlessly integrated into current baseline processes. Empirical evidence suggests that mouse movements hold information on user motivation and attention, both valuable aspects otherwise difficult to measure at scale. Further, mouse trajectories can already be collected on pre-treatment questionnaires, making them a promising candidate for early predictions informing treatment allocation. Therefore, this paper discusses how to collect and process mouse trajectory data on questionnaires in DMHIs. Covering different complexity levels, we combine hand-crafted features with non-sequential machine learning models, as well as spatiotemporal raw mouse data with state-of-the-art sequential neural networks. The data processing pipeline for the latter includes task-specific pre-processing to convert the variable length trajectories into a single prediction per user. As a feasibility study, we collected mouse trajectory data from 183 patients filling out a pre-intervention depression questionnaire. While the hand-crafted features slightly improve baseline predictions, the spatiotemporal models underperform. However, considering our small data set size, we propose more research to investigate the potential value of this novel and promising data type and provide the necessary steps and open-source code to do so.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100828"},"PeriodicalIF":3.6,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143821312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sexual trauma and interest in mobile health among women with mental illness in Ghana","authors":"Dror Ben-Zeev ,&nbsp;Joel Agorinya ,&nbsp;Alexa Beaulieu ,&nbsp;Emmanuel Quame Sottie ,&nbsp;Anna Larsen ,&nbsp;Dzifa Abra Attah ,&nbsp;Michele Bedard-Gilligan ,&nbsp;Sammy Ohene ,&nbsp;Pamela Y. Collins ,&nbsp;Kristen P. Lindgren ,&nbsp;Angela Ofori-Atta ,&nbsp;Debra Kaysen ,&nbsp;Kwadwo Obeng","doi":"10.1016/j.invent.2025.100829","DOIUrl":"10.1016/j.invent.2025.100829","url":null,"abstract":"<div><div>Sexual violence against vulnerable populations is common worldwide. Many survivors of sexual assault experience long-term mental health difficulties. This study evaluated sexual violence exposure among women with mental illness in Ghana and examined their readiness to engage in mobile health interventions. We surveyed 200 women receiving inpatient or outpatient treatment at a large psychiatric hospital. Survey results indicated that 41.0 % reported having experienced sexual violence in the past. Over two-thirds of respondents had a high probability of PTSD (68.4 %) and these proportions were higher among those who experienced sexual violence (77.5 %). The majority were interested in mobile health resources that could provide them with support (73.2 %). Respondents' top topics of interest were information about managing stress and improving mood. The skill they were most interested in was relaxation. Video and audio content were rated as preferred intervention modalities. Most of the sample reported owning a mobile phone (86.4 %), with most being smartphones (76.1 %). Almost all respondents reported having access to electricity (99.5 %), a majority had a data plan (86.2 %), and all reported daily mobile phone use (100.0 %). Our findings suggest that there are significant unmet mental health needs among female survivors of sexual violence who are already receiving care in Ghana; most female survivors of sexual assault are open to using mobile health interventions; and most women with mental illness have access to the resources necessary for deployment of mobile interventions in their communities. Smartphone applications that leverage video and audio content may be particularly suitable for this context.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"40 ","pages":"Article 100829"},"PeriodicalIF":3.6,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143814793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}