2f:I[703058,["/_next/static/immutable/chunks/3bhq_5eh1d760.js","/_next/static/immutable/chunks/1855-ogyi8eh4.js","/_next/static/immutable/chunks/2pfsjpn6k6zlg.js","/_next/static/immutable/chunks/26c7v3_3uwnwu.js","/_next/static/immutable/chunks/25a3ozcrvi1ff.js","/_next/static/immutable/chunks/2r4wx50nvjh_4.js","/_next/static/immutable/chunks/23fsw06hsi5b1.js","/_next/static/immutable/chunks/06_yt270h41rg.js","/_next/static/immutable/chunks/3ezsiz-7shkna.js","/_next/static/immutable/chunks/20x2y96ldu5wx.js","/_next/static/immutable/chunks/2lxntcm3pd1_h.js","/_next/static/immutable/chunks/00dgco8irq3jw.js","/_next/static/immutable/chunks/00nwe-kq0rboc.js","/_next/static/immutable/chunks/2051ffx3xzio9.js"],"PaperListPageClient"] 30:Td20,Eating disorders (EDs) are serious mental disorders that often remain untreated for many years. Digital mental health interventions could provide low-threshold support especially in underserved areas. However, the knowledge of mental health professionals (MHPs), who could integrate such interventions into routine care, is still limited. This study aimed at the development and evaluation of a web-based toolkit to provide evidence-based knowledge about digital interventions for EDs for MHPs. A mixed methods design was chosen to iteratively evaluate the toolkit. First, three focus groups with 16 MHPs were conducted, who tested the toolkit and gave feedback. Then, N = 66 MHPs completed an online survey with self-developed questionnaires on the perceived quality of the toolkit and its modules. Further, several scales were used to measure website clarity (Web-CLIC), visual aesthetics (VisAWI-S), system usability (SUS), e-therapy attitudes (ETAM) and elements of the Unified Theory of Acceptance and Use of Technology (UTAUT). The focus groups resulted in a number of suggestions that were used to improve the toolkit. The results of the quantitative study showed that the toolkit reached high ratings in website clarity, visual aesthetics and system usability. E-therapy attitudes were positive in 51 (77.3%) cases. While perceived usefulness was M = 2.75 (SD = 0.62, range = 1-3.86), relative advantage remained lower with M = 1.08 (SD = 0.54, range = 0-2.5). Results following the concept of UTAUT, showed a medium Behavioural Intention to use digital interventions for their patients with M = 3.60 (SD = 1.01) and a medium Performance Expectancy of M = 3.50 (SD = 0.93) with lower values for anorexia nervosa than for other kinds of EDs. In general, MHPs show positive attitudes towards the use of digital interventions for patients with EDs to complement conventional psychotherapy. However, there is also a clear need for more knowledge in the field. The web-based toolkit may serve as a promising educational resource to meet the needs of MHPs. The effectiveness of the toolkit regarding learning success can be tested in future studies. Eating disorders are serious mental disorders that often remain untreated for many years. Digital mental health interventions are therapeutic services for people with a mental disorder that can be delivered on electronic devices. They may support people in remote areas with limited access to a therapy. As these interventions are new, only few mental health professionals have sufficient knowledge about them. A web-based toolkit was developed to provide knowledge about digital interventions for eating disorders to them. The toolkit was evaluated through group discussions with mental health professionals. The toolkit was then improved on the basis of the results. In the next step, 66 mental health professionals filled in an online survey and answered questions referring to their opinions about the usefulness and relevance of the toolkit. The professionals showed generally positive attitudes towards the use of digital interventions for patients with eating disorders. However, there is also a clear need for more knowledge in this area. The web-based toolkit may serve as a promising educational resource to meet the needs of mental health professionals.31:Tc1d,Abstract Introduction Eating disorders (EDs) are serious mental disorders that often remain untreated for many years. Digital mental health interventions could provide low-threshold support especially in underserved areas. However, the knowledge of mental health professionals (MHPs), who could integrate such interventions into routine care, is still limited. Objective This study aimed at the development and evaluation of a web-based toolkit to provide evidence-based knowledge about digital interventions for EDs for MHPs. Methods A mixed methods design was chosen to iteratively evaluate the toolkit. First, three focus groups with 16 MHPs were conducted, who tested the toolkit and gave feedback. Then, N = 66 MHPs completed an online survey with self-developed questionnaires on the perceived quality of the toolkit and its modules. Further, several scales were used to measure website clarity (Web-CLIC), visual aesthetics (VisAWI-S), system usability (SUS), e-therapy attitudes (ETAM) and elements of the Unified Theory of Acceptance and Use of Technology (UTAUT). Results The focus groups resulted in a number of suggestions that were used to improve the toolkit. The results of the quantitative study showed that the toolkit reached high ratings in website clarity, visual aesthetics and system usability. E-therapy attitudes were positive in 51 (77.3%) cases. While perceived usefulness was M = 2.75 (SD = 0.62, range = 1-3.86), relative advantage remained lower with M = 1.08 (SD = 0.54, range = 0-2.5). Results following the concept of UTAUT, showed a medium Behavioural Intention to use digital interventions for their patients with M = 3.60 (SD = 1.01) and a medium Performance Expectancy of M = 3.50 (SD = 0.93) with lower values for anorexia nervosa than for other kinds of EDs. Conclusions In general, MHPs show positive attitudes towards the use of digital interventions for patients with EDs to complement conventional psychotherapy. However, there is also a clear need for more knowledge in the field. The web-based toolkit may serve as a promising educational resource to meet the needs of MHPs. The effectiveness of the toolkit regarding learning success can be tested in future studies. 25:[[["$","script","0",{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"{\"@context\":\"https://schema.org\",\"@type\":\"CollectionPage\",\"name\":\"Digital Mental Health Intervention: modality Research & Clinical Takeaways\",\"description\":\"Explore peer-reviewed papers on Digital Mental Health Intervention (modality). Clinician-written summaries and actionable practice insights. 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Clinicians and service leaders should plan for implementation complexity early, treating it as demanding as face-to-face service design."}},{"doi":"10.1037/ser0000980","pmid":"40638276","title":"Developing meditation practice in individuals with elevated psychological distress via a meditation app intervention: An implementation science–informed qualitative investigation of barriers and facilitators.","journal_title":"Psychological Services","journal_issn":"1939-148X","published_at":"2026-08-01T00:00:00.000Z","url":"https://doi.org/10.1037/ser0000980","source_score":8,"is_retracted":false,"is_open_access":true,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-08-04T18:17:54.202Z","updated_at":"2026-08-04T18:17:54.202Z","tags":[{"paper_doi":"10.1037/ser0000980","tag_type":"age_group","value":"adult","value_numeric":null},{"paper_doi":"10.1037/ser0000980","tag_type":"brand","value":"Healthy Minds Program","value_numeric":null},{"paper_doi":"10.1037/ser0000980","tag_type":"category","value":"Psychology, Clinical","value_numeric":null},{"paper_doi":"10.1037/ser0000980","tag_type":"condition","value":"Anxiety","value_numeric":null},{"paper_doi":"10.1037/ser0000980","tag_type":"condition","value":"Depression","value_numeric":null},{"paper_doi":"10.1037/ser0000980","tag_type":"impact_flag","value":"limited_evidence","value_numeric":null},{"paper_doi":"10.1037/ser0000980","tag_type":"level_of_evidence","value":"6","value_numeric":null},{"paper_doi":"10.1037/ser0000980","tag_type":"modality","value":"Digital Mental Health Intervention","value_numeric":null},{"paper_doi":"10.1037/ser0000980","tag_type":"sample_size","value":"n=20","value_numeric":20},{"paper_doi":"10.1037/ser0000980","tag_type":"study_design","value":"Qualitative Study","value_numeric":null},{"paper_doi":"10.1037/ser0000980","tag_type":"warning","value":"The study design is qualitative with a very small sample (n=20), so findings should be treated as hypothesis-generating rather than definitive. Sex of participants is not reported in the abstract. The parent clinical trial context (meditation dosage trial) may introduce selection bias toward more motivated users.","value_numeric":null}],"summaries":{"what_studied":"This qualitative study explored barriers and facilitators to developing a meditation practice using the Healthy Minds Program app among adults (n=20) with elevated depressive and/or anxiety symptoms, drawn from a meditation dosage clinical trial and interviewed using the Consolidated Framework for Implementation Research (CFIR).","key_result":"Four key themes emerged: practical facilitators (e.g., scheduling, reminders), motivations for starting and maintaining practice, barriers to practice (e.g., psychosocial and logistical), and app improvement recommendations; overall, participants reported positive outcomes that motivated continued use.","limitations":"Very small sample (n=20) limits generalizability; the study is cross-sectional in nature and cannot capture how barriers and facilitators shift over time with increased app engagement; findings are drawn from a single app (Healthy Minds Program) and may not apply to other meditation apps.","practice_takeaway":"Clinicians recommending meditation apps to patients with depression or anxiety should address practical barriers upfront (e.g., scheduling, habit formation) and leverage reported positive outcomes as motivational hooks to sustain engagement."}},{"doi":"10.1001/jamapsychiatry.2026.1443","pmid":"42307965","title":"Psychological Interventions Targeting Auditory Hallucinations in Persons With Psychotic Disorders","journal_title":"JAMA Psychiatry","journal_issn":"2168-622X","published_at":"2026-06-17T00:00:00.000Z","url":"https://doi.org/10.1001/jamapsychiatry.2026.1443","source_score":19,"is_retracted":false,"is_open_access":true,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-06-21T13:29:44.214Z","updated_at":"2026-06-21T13:29:44.214Z","tags":[{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"age_group","value":"adult","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"category","value":"Psychiatry","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"condition","value":"Auditory Hallucinations","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"condition","value":"Schizophrenia Spectrum Disorder","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"impact_flag","value":"practice_changing","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"level_of_evidence","value":"1","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"modality","value":"Avatar Therapy","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"modality","value":"Cognitive Behavioral Therapy","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"modality","value":"Digital Mental Health Intervention","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"modality","value":"Psychotherapy","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"sample_size","value":"n=2016","value_numeric":2016},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"sex","value":"mixed","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"study_design","value":"Systematic Review and Meta-Analysis","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"warning","value":"Adverse event reporting was inconsistent across included trials, limiting safety conclusions.","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"warning","value":"Avatar therapy's apparent superiority may be confounded by study-level factors (active controls, lower risk of bias) rather than the intervention itself — no head-to-head trials exist.","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"warning","value":"GRADE certainty for the primary outcome (AH severity) was rated 'low,' meaning the true effect could differ meaningfully from the pooled estimate.","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.1443","tag_type":"warning","value":"One included study (Fässler et al., 2025) is authored by the first author of this meta-analysis; potential conflict of interest is noted, though the authors disclosed it.","value_numeric":null}],"summaries":{"what_studied":"Systematic review and meta-analysis of 23 RCTs (N=2,016 adults) evaluating the efficacy and acceptability of psychological and psychosocial interventions specifically targeting auditory hallucinations (AHs) in schizophrenia spectrum disorders (SSDs), across 5 therapeutic approaches, compared to active controls, TAU, or waitlist conditions.","key_result":"Targeted interventions reduced AH severity at post-treatment (SMD −0.18; 95% CI −0.31 to −0.05; NNT=16; GRADE: low evidence). Avatar therapy showed the largest effect (SMD −0.37; 95% CI −0.51 to −0.22). Secondary gains included reduced AH frequency, distress, total symptoms, positive symptoms, delusions, depression, and anxiety — but not negative symptoms. Dropout rates were comparable between intervention (15%) and control (16%) groups.","limitations":"- Most studies rated high risk of bias or had concerns, weakening confidence in effect sizes.\n- Subgroup comparisons lack head-to-head trials; avatar therapy superiority may partly reflect its co-occurrence with active controls and low risk of bias.\n- Long-term follow-up data (≥12 months) were sparse, limiting conclusions about durability.","practice_takeaway":"Clinicians should consider adding targeted psychological interventions — especially avatar therapy — to pharmacological treatment for patients with SSDs who experience distressing AHs. CBT, digital, and integrative approaches showed trends toward benefit but did not reach significance in subgroup analyses, likely due to small sample sizes."}},{"doi":"10.1016/j.janxdis.2026.103187","pmid":"42190295","title":"A pragmatic randomized trial of brief clinician- and web-administered skills training in affective and interpersonal regulation (STAIR) for posttraumatic stress disorder in safety net primary care","journal_title":"Journal of Anxiety Disorders","journal_issn":"0887-6185","published_at":"2026-05-22T00:00:00.000Z","url":"https://doi.org/10.1016/j.janxdis.2026.103187","source_score":8,"is_retracted":false,"is_open_access":false,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-05-29T13:23:12.030Z","updated_at":"2026-05-29T13:23:12.030Z","tags":[{"paper_doi":"10.1016/j.janxdis.2026.103187","tag_type":"age_group","value":"adult","value_numeric":null},{"paper_doi":"10.1016/j.janxdis.2026.103187","tag_type":"category","value":"Psychology, Clinical","value_numeric":null},{"paper_doi":"10.1016/j.janxdis.2026.103187","tag_type":"condition","value":"Posttraumatic Stress Disorder","value_numeric":null},{"paper_doi":"10.1016/j.janxdis.2026.103187","tag_type":"generic","value":"Skills Training in Affective and Interpersonal Regulation","value_numeric":null},{"paper_doi":"10.1016/j.janxdis.2026.103187","tag_type":"impact_flag","value":"limited_evidence","value_numeric":null},{"paper_doi":"10.1016/j.janxdis.2026.103187","tag_type":"level_of_evidence","value":"2","value_numeric":null},{"paper_doi":"10.1016/j.janxdis.2026.103187","tag_type":"modality","value":"Digital Mental Health Intervention","value_numeric":null},{"paper_doi":"10.1016/j.janxdis.2026.103187","tag_type":"modality","value":"Psychotherapy","value_numeric":null},{"paper_doi":"10.1016/j.janxdis.2026.103187","tag_type":"sample_size","value":"n=60","value_numeric":60},{"paper_doi":"10.1016/j.janxdis.2026.103187","tag_type":"sex","value":"mixed","value_numeric":null},{"paper_doi":"10.1016/j.janxdis.2026.103187","tag_type":"study_design","value":"Randomized Controlled Trial","value_numeric":null},{"paper_doi":"10.1016/j.janxdis.2026.103187","tag_type":"warning","value":"Sample size of N=60 is small; effect sizes may be inflated and results should be interpreted cautiously until replicated in larger trials.","value_numeric":null},{"paper_doi":"10.1016/j.janxdis.2026.103187","tag_type":"warning","value":"Sex distribution of the sample is not explicitly reported in the abstract; 'mixed' is assumed based on typical primary care population sampling.","value_numeric":null},{"paper_doi":"10.1016/j.janxdis.2026.103187","tag_type":"warning","value":"STAIR (Skills Training in Affective and Interpersonal Regulation) is tagged as a generic intervention name rather than a pharmacological agent — no drug brands or generics apply here.","value_numeric":null},{"paper_doi":"10.1016/j.janxdis.2026.103187","tag_type":"warning","value":"The study was published in 2026 and today's date is May 29, 2026 — this is a very recent publication with no post-publication peer review or replication available yet.","value_numeric":null}],"summaries":{"what_studied":"This pragmatic RCT compared two brief formats of Skills Training in Affective and Interpersonal Regulation (STAIR) — clinician-delivered (Brief STAIR) vs. web-based (webSTAIR) — for PTSD in safety-net primary care patients, predominantly low-income, publicly insured, and racial/ethnic-minoritized adults, with follow-up at 3 and 9 months.","key_result":"Both formats produced significant PTSD symptom reductions with large effect sizes at 3 months (partial η²=0.57) and 9 months (partial η²=0.56); clinician-delivered Brief STAIR had far better retention (73%) than webSTAIR (30%), though webSTAIR retention exceeded most digital mental health interventions. Large effects were also seen for mental functioning and depression at 9 months (partial η²=0.19 and 0.18, respectively).","limitations":"Very small sample (N=60) limits statistical power and generalizability. Missing data were imputed with last available values, which may not reflect true trajectories. Single-site safety-net setting restricts external validity.","practice_takeaway":"Brief STAIR delivered by a clinician shows strong PTSD symptom improvement and good retention in underserved primary care populations, making it a viable first-step option in stepped-care PTSD management. Web-based STAIR may serve patients with access barriers, though clinicians should anticipate higher dropout."}},{"doi":"10.1001/jamapsychiatry.2026.0603","pmid":"42054038","title":"Adolescent Mental Health Care and Stigma","journal_title":"JAMA Psychiatry","journal_issn":"2168-622X","published_at":"2026-04-29T00:00:00.000Z","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13130063/","source_score":38,"is_retracted":false,"is_open_access":true,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-05-07T22:49:20.412Z","updated_at":"2026-05-07T22:49:20.412Z","tags":[{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"age_group","value":"adolescent","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"category","value":"Psychiatry","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"condition","value":"Depression","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"condition","value":"Mental Health Stigma","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"condition","value":"Self-Harm","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"impact_flag","value":"confirms_prior","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"level_of_evidence","value":"2","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"modality","value":"Antistigma Campaign","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"modality","value":"Digital Mental Health Intervention","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"modality","value":"Task-Sharing / Community Health Worker","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"sample_size","value":"n=3739","value_numeric":3739},{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"sex","value":"mixed","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"study_design","value":"Cluster Randomized Controlled Trial","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"warning","value":"Both antistigma and digital care interventions were delivered simultaneously, making it difficult to isolate the independent effect of each component.","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"warning","value":"The coprimary remission outcome (PHQ-9 <5 at 12 months) did not reach statistical significance (P=.10), though a secondary PHQ-9 score analysis did (P=.03) — clinical relevance of this discrepancy should be interpreted carefully.","value_numeric":null},{"paper_doi":"10.1001/jamapsychiatry.2026.0603","tag_type":"warning","value":"The trial was registered in India (CTRI/2022/02/040307); results may not be generalizable outside urban slum settings in South Asia.","value_numeric":null}],"summaries":{"what_studied":"A parallel cluster RCT in 60 slums across New Delhi and Vijayawada (Dec 2022–Dec 2023) tested a multimedia antistigma campaign plus a primary care health worker-led digital intervention vs usual care in 3,739 adolescents aged 10–19, of whom 1,761 were at high risk of depression or self-harm (PHQ-9 ≥10).","key_result":"The antistigma campaign significantly improved anticipated behavior toward people with mental illness at 12 months (mean difference +0.78; 95% CI 0.40–1.16; P<.001; SMD 0.20). Depression remission (PHQ-9 <5) was higher in the intervention arm (68.2% vs 59.4%; OR 1.47) but did not reach statistical significance (P=.10). PHQ-9 scores were significantly lower in the intervention arm at 12 months (4.05 vs 4.92; mean difference −0.87; P=.03).","limitations":"The primary remission outcome was nonsignificant despite a clinically meaningful absolute difference (7%), raising concerns about statistical power at the cluster level. The trial was conducted only in urban slums in 2 Indian cities, limiting generalizability to rural or other LMIC settings. Usual care in the control arm was not standardized, which may have introduced variability.","practice_takeaway":"A community-based antistigma campaign combined with trained primary care workers can reduce mental health stigma and modestly lower depression scores in high-risk adolescents living in urban slums. Clinicians working in similar LMIC settings should consider task-sharing with community health workers alongside stigma-reduction efforts."}},{"doi":"10.1186/s40337-025-01518-1","pmid":"41514441","title":"Development and evaluation of a web-based toolkit to inform mental health professionals about digital mental health interventions for eating disorders","journal_title":"Journal of Eating Disorders","journal_issn":"2050-2974","published_at":"2026-01-10T00:00:00.000Z","url":"https://doi.org/10.1186/s40337-025-01518-1","source_score":15,"is_retracted":false,"is_open_access":true,"raw_metadata":{"ooir":{"day":"2026-01-10","doi":"10.1186/s40337-025-01518-1","days":"14","issn":"2050-2974","rank":"8","field":"Clinical Medicine","score":"15","category":"Psychology, Clinical","categories":["Psychology, Clinical"],"_categories":["Psychology, Clinical"]},"pubmed":{"doi":"10.1186/s40337-025-01518-1","title":"Development and evaluation of a web-based toolkit to inform mental health professionals about digital mental health interventions for eating disorders.","journal":"Journal of eating disorders","methods":"","results":"The focus groups resulted in a number of suggestions that were used to improve the toolkit. The results of the quantitative study showed that the toolkit reached high ratings in website clarity, visual aesthetics and system usability. E-therapy attitudes were positive in 51 (77.3%) cases. While perceived usefulness was M = 2.75 (SD = 0.62, range = 1-3.86), relative advantage remained lower with M = 1.08 (SD = 0.54, range = 0-2.5). Results following the concept of UTAUT, showed a medium Behavioural Intention to use digital interventions for their patients with M = 3.60 (SD = 1.01) and a medium Performance Expectancy of M = 3.50 (SD = 0.93) with lower values for anorexia nervosa than for other kinds of EDs.","abstract":"$30","keywords":["Digital mental health","Eating disorders","Implementation","Mental health care","Mental health practitioners","Mental health professionals","Mixed methods","Toolkit"],"pubmed_id":"41514441","conclusions":"","publication_date":"2026-01-10T00:00:00"},"crossref":{"DOI":"10.1186/s40337-025-01518-1","URL":"https://doi.org/10.1186/s40337-025-01518-1","ISSN":["2050-2974"],"link":[{"URL":"https://link.springer.com/article/10.1186/s40337-025-01518-1","content-type":"text/html","content-version":"vor","intended-application":"text-mining"}],"page":null,"type":"journal-article","issue":null,"score":1,"title":["Development and evaluation of a web-based toolkit to inform mental health professionals about digital mental health interventions for eating disorders"],"author":[{"given":"Gwendolyn","family":"Mayer","sequence":"first","affiliation":[]},{"given":"Diana","family":"Lemmer","sequence":"additional","affiliation":[]},{"given":"Benita Gräfin","family":"von Koenigsmarck","sequence":"additional","affiliation":[]},{"given":"Hans-Christoph","family":"Friederich","sequence":"additional","affiliation":[]},{"given":"Stephanie","family":"Bauer","sequence":"additional","affiliation":[]}],"funder":[{"id":[{"id":"10.13039/501100018936","id-type":"DOI","asserted-by":"crossref"}],"DOI":"10.13039/501100018936","name":"Universitätsklinikum Heidelberg","doi-asserted-by":"crossref"}],"issued":{"date-parts":[[2026,1,9]]},"member":"297","prefix":"10.1186","source":"Crossref","volume":null,"created":{"date-time":"2026-01-09T11:04:33Z","timestamp":1767956673000,"date-parts":[[2026,1,9]]},"indexed":{"date-time":"2026-01-09T13:03:59Z","timestamp":1767963839289,"date-parts":[[2026,1,9]]},"license":[{"URL":"https://creativecommons.org/licenses/by/4.0","start":{"date-time":"2026-01-09T00:00:00Z","timestamp":1767916800000,"date-parts":[[2026,1,9]]},"delay-in-days":0,"content-version":"tdm"},{"URL":"https://creativecommons.org/licenses/by/4.0","start":{"date-time":"2026-01-09T00:00:00Z","timestamp":1767916800000,"date-parts":[[2026,1,9]]},"delay-in-days":0,"content-version":"am"}],"subject":[],"abstract":"$31","language":"en","relation":{},"resource":{"primary":{"URL":"https://link.springer.com/10.1186/s40337-025-01518-1"}},"subtitle":[],"assertion":[{"name":"received","group":{"name":"ArticleHistory","label":"Article History"},"label":"Received","order":1,"value":"28 May 2025"},{"name":"accepted","group":{"name":"ArticleHistory","label":"Article History"},"label":"Accepted","order":2,"value":"24 December 2025"},{"name":"first_online","group":{"name":"ArticleHistory","label":"Article History"},"label":"First Online","order":3,"value":"9 January 2026"},{"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"},"order":1},{"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"},"order":2,"value":"Ethical approval was obtained by the Ethics Commission of the Medical Faculty at University of Heidelberg (S-082/2023). Prior to their participation, participants were informed via e-mail and online on the study website about the nature and scope of the study, particularly about the potential benefits and risks. They had the opportunity to contact us for further clarification. For the focus groups, participants gave their consent via signature. The consent of the participants of the online study was documented through a mandatory input field for electronic confirmation of consent (participation and data protection declaration). The participation information was accessible online at any time during the study period on the project website (\n \n )."},{"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"},"order":3,"value":"Not applicable."},{"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"},"order":4,"value":"The authors declare no competing interests."}],"deposited":{"date-time":"2026-01-09T11:04:38Z","timestamp":1767956678000,"date-parts":[[2026,1,9]]},"issn-type":[{"type":"electronic","value":"2050-2974"}],"published":{"date-parts":[[2026,1,9]]},"publisher":"Springer Science and Business Media LLC","reference":[{"DOI":"10.1097/YCO.0000000000000641","key":"1518_CR1","year":null,"issue":null,"author":null,"volume":null,"first-page":null,"unstructured":"van Hoeken D, Hoek HW. Review of the burden of eating disorders: mortality, disability, costs, quality of life, and family burden. 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Berrett-Koehler; 2006.","article-title":null,"journal-title":null,"doi-asserted-by":null}],"short-title":[],"update-policy":"https://doi.org/10.1007/springer_crossmark_policy","alternative-id":["1518"],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"original-title":[],"container-title":["Journal of Eating Disorders"],"reference-count":48,"published-online":{"date-time":null,"timestamp":null,"date-parts":[[2026,1,9]]},"references-count":48,"short-container-title":["J Eat Disord"],"is-referenced-by-count":0},"unpaywall":{"doi":"10.1186/s40337-025-01518-1","is_oa":true,"title":"Development and evaluation of a web-based toolkit to inform mental health professionals about digital mental health interventions for eating disorders","updated":"2026-01-10T04:46:20+00:00","published_date":"2026-01-09","best_oa_location":{"url":"https://doi.org/10.1186/s40337-025-01518-1","pmh_id":null,"url_for_pdf":null,"url_for_landing_page":"https://doi.org/10.1186/s40337-025-01518-1"}}},"created_at":"2026-01-14T18:30:49.575Z","updated_at":"2026-01-21T12:05:26.220Z","tags":[{"paper_doi":"10.1186/s40337-025-01518-1","tag_type":"category","value":"Psychology, Clinical","value_numeric":null},{"paper_doi":"10.1186/s40337-025-01518-1","tag_type":"condition","value":"Eating Disorders","value_numeric":null},{"paper_doi":"10.1186/s40337-025-01518-1","tag_type":"impact_flag","value":"limited_evidence","value_numeric":null},{"paper_doi":"10.1186/s40337-025-01518-1","tag_type":"modality","value":"Digital Mental Health Intervention","value_numeric":null},{"paper_doi":"10.1186/s40337-025-01518-1","tag_type":"sample_size","value":"n=66","value_numeric":66},{"paper_doi":"10.1186/s40337-025-01518-1","tag_type":"study_design","value":"Mixed Methods Study","value_numeric":null},{"paper_doi":"10.1186/s40337-025-01518-1","tag_type":"warning","value":"Mixed‑methods design with focus groups (n=16) and a separate survey (N=66); participant overlap not specified.","value_numeric":null},{"paper_doi":"10.1186/s40337-025-01518-1","tag_type":"warning","value":"Outcomes reflect self‑reported perceptions; learning gains and clinical impact were not evaluated.","value_numeric":null},{"paper_doi":"10.1186/s40337-025-01518-1","tag_type":"warning","value":"Timeframe and exact rating thresholds for “high” clarity/aesthetics/usability were not provided.","value_numeric":null}],"summaries":{"what_studied":"A mixed‑methods evaluation of a web-based toolkit to educate mental health professionals about digital interventions for eating disorders: three focus groups (n=16) and an online survey (N=66) using Web‑CLIC, VisAWI‑S, SUS, ETAM, and UTAUT measures.","key_result":"The toolkit was rated highly for website clarity, visual aesthetics, and usability; 51/66 (77.3%) reported positive e‑therapy attitudes. Mean perceived usefulness was 2.75 (SD 0.62; range 1–3.86) and relative advantage 1.08 (SD 0.54; range 0–2.5); Behavioural Intention averaged 3.60 (SD 1.01) and Performance Expectancy 3.50 (SD 0.93), with lower values for anorexia nervosa than for other eating disorders.","limitations":"Small samples (focus groups n=16; survey N=66). Perceived quality was assessed with self‑developed questionnaires, and the study did not test learning success or patient outcomes.","practice_takeaway":"For clinicians, the toolkit appears clear, usable, and acceptable, and may help orient teams to digital options for eating disorders. Its effect on knowledge or patient care is untested, so use it as an adjunct educational resource rather than a proven intervention."}}],"initialOffset":6,"fetchConfig":{"kind":"tags","tags":[{"tag_type":"modality","value":"Digital Mental Health Intervention"}]},"breadcrumbItems":[{"name":"Home","href":"/"},{"name":"Research Hub","href":"/hub"},{"name":"Modalities","href":"/hub/tag/modality"},{"name":"Digital Mental Health Intervention"}],"hrefConfig":{"basePath":"/hub/papers","webViewQueryParams":{"hub_ctx":"tag","hub_tag_type":"modality","hub_tag_value":"Digital Mental Health Intervention"}}}]]

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