TY - JOUR AU - Loch, Andrade Alexandre AU - Kotov, Roman PY - 2025/2/18 TI - Promises and Pitfalls of Internet Search Data in Mental Health: Critical Review JO - JMIR Ment Health SP - e60754 VL - 12 KW - privacy KW - stigma KW - online KW - prevention KW - internet KW - search data KW - mental health KW - health care KW - clinical information KW - World Health Organization KW - WHO KW - digital health KW - mental illness KW - digital technologies KW - social network KW - mobile health KW - mHealth UR - https://mental.jmir.org/2025/1/e60754 UR - http://dx.doi.org/10.2196/60754 ID - info:doi/10.2196/60754 ER - TY - JOUR AU - Gorban, Carla AU - McKenna, Sarah AU - Chong, K. Min AU - Capon, William AU - Battisti, Robert AU - Crowley, Alison AU - Whitwell, Bradley AU - Ottavio, Antonia AU - Scott, M. Elizabeth AU - Hickie, B. Ian AU - Iorfino, Frank PY - 2024/11/6 TI - Building Mutually Beneficial Collaborations Between Digital Navigators, Mental Health Professionals, and Clients: Naturalistic Observational Case Study JO - JMIR Ment Health SP - e58068 VL - 11 KW - digital navigator KW - digital coach KW - clinical technology specialist KW - mental health services KW - shared decision-making KW - lived experience KW - implementation KW - poor engagement KW - decision-making KW - mental health KW - digital mental health KW - digital mental health technology UR - https://mental.jmir.org/2024/1/e58068 UR - http://dx.doi.org/10.2196/58068 ID - info:doi/10.2196/58068 ER - TY - JOUR AU - McAlister, L. Kelsey AU - Beatty, C. Clare AU - Smith-Caswell, E. Jacqueline AU - Yourell, L. Jacqlyn AU - Huberty, L. Jennifer PY - 2024/11/4 TI - Social Media Use in Adolescents: Bans, Benefits, and Emotion Regulation Behaviors JO - JMIR Ment Health SP - e64626 VL - 11 KW - adolescent social media KW - social media bans KW - emotion regulation KW - youth KW - adolescent KW - media use KW - social platform KW - social network KW - self-regulation KW - behavioral health KW - mental health KW - digital health KW - technology KW - digital literacy UR - https://mental.jmir.org/2024/1/e64626 UR - http://dx.doi.org/10.2196/64626 ID - info:doi/10.2196/64626 ER - TY - JOUR AU - Tavory, Tamar PY - 2024/9/19 TI - Regulating AI in Mental Health: Ethics of Care Perspective JO - JMIR Ment Health SP - e58493 VL - 11 KW - artificial intelligence KW - ethics of care KW - regulation KW - legal KW - relationship KW - mental health KW - mental healthcare KW - AI KW - ethic KW - ethics KW - ethical KW - regulations KW - law KW - framework KW - frameworks KW - regulatory KW - relationships KW - chatbot KW - chatbots KW - conversational agent KW - conversational agents KW - European Artificial Intelligence Act UR - https://mental.jmir.org/2024/1/e58493 UR - http://dx.doi.org/10.2196/58493 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/58493 ER - TY - JOUR AU - French, Blandine AU - Babbage, Camilla AU - Bird, Katherine AU - Marsh, Lauren AU - Pelton, Mirabel AU - Patel, Shireen AU - Cassidy, Sarah AU - Rennick-Egglestone, Stefan PY - 2024/9/16 TI - Data Integrity Issues With Web-Based Studies: An Institutional Example of a Widespread Challenge JO - JMIR Ment Health SP - e58432 VL - 11 KW - web-based research KW - web-based studies KW - qualitative studies KW - surveys KW - mental health KW - data integrity, misrepresentation UR - https://mental.jmir.org/2024/1/e58432 UR - http://dx.doi.org/10.2196/58432 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/58432 ER - TY - JOUR AU - Haber, Yuval AU - Levkovich, Inbar AU - Hadar-Shoval, Dorit AU - Elyoseph, Zohar PY - 2024/5/23 TI - The Artificial Third: A Broad View of the Effects of Introducing Generative Artificial Intelligence on Psychotherapy JO - JMIR Ment Health SP - e54781 VL - 11 KW - psychoanalysis KW - generative artificial intelligence KW - psychotherapy KW - large language models KW - narcissism KW - narcissist KW - narcissistic KW - perception KW - perceptions KW - critical thinking KW - transparency KW - autonomy KW - mental health KW - interpersonal KW - LLM KW - LLMs KW - language model KW - language models KW - artificial intelligence KW - generative KW - AI KW - ethic KW - ethics KW - ethical UR - https://mental.jmir.org/2024/1/e54781 UR - http://dx.doi.org/10.2196/54781 ID - info:doi/10.2196/54781 ER - TY - JOUR AU - Ridout, Brad AU - Forsyth, Rowena AU - Amon, L. Krestina AU - Navarro, Pablo AU - Campbell, J. Andrew PY - 2024/3/22 TI - The Urgent Need for an Evidence-Based Digital Mental Health Practice Model of Care for Youth JO - JMIR Ment Health SP - e48441 VL - 11 KW - mental health KW - internet KW - digital health KW - telecounselling KW - social networking KW - telehealth KW - telemedicine KW - counseling KW - counselling KW - service KW - services KW - healthcare delivery KW - youth KW - model UR - https://mental.jmir.org/2024/1/e48441 UR - http://dx.doi.org/10.2196/48441 ID - info:doi/10.2196/48441 ER - TY - JOUR AU - Ettman, K. Catherine AU - Galea, Sandro PY - 2023/11/16 TI - The Potential Influence of AI on Population Mental Health JO - JMIR Ment Health SP - e49936 VL - 10 KW - mental health KW - artificial intelligence KW - AI KW - policy KW - policies KW - population health KW - population KW - ChatGPT KW - generative KW - tools KW - digital mental health UR - https://mental.jmir.org/2023/1/e49936 UR - http://dx.doi.org/10.2196/49936 UR - http://www.ncbi.nlm.nih.gov/pubmed/37971803 ID - info:doi/10.2196/49936 ER - TY - JOUR AU - Nève de Mévergnies, Constance AU - Verhaeghe, Nick AU - Koster, W. Ernst H. AU - Baeken, Chris AU - Vander Zwalmen, Yannick AU - Hoorelbeke, Kristof PY - 2023/8/18 TI - Health Economic Evaluation of Cognitive Control Training for Depression: Key Considerations JO - JMIR Ment Health SP - e44679 VL - 10 KW - health economic evaluation KW - cost utility KW - cognitive control training KW - CCT KW - depression recurrence KW - health policies UR - https://mental.jmir.org/2023/1/e44679 UR - http://dx.doi.org/10.2196/44679 UR - http://www.ncbi.nlm.nih.gov/pubmed/37594847 ID - info:doi/10.2196/44679 ER - TY - JOUR AU - Lind, N. Monika AU - Kahn, E. Lauren AU - Crowley, Ryann AU - Reed, Wyatt AU - Wicks, Geordie AU - Allen, B. Nicholas PY - 2023/4/26 TI - Reintroducing the Effortless Assessment Research System (EARS) JO - JMIR Ment Health SP - e38920 VL - 10 KW - mobile sensing KW - passive sensing KW - personal sensing KW - digital phenotyping KW - ecological momentary assessment KW - digital mental health UR - https://mental.jmir.org/2023/1/e38920 UR - http://dx.doi.org/10.2196/38920 UR - http://www.ncbi.nlm.nih.gov/pubmed/37099361 ID - info:doi/10.2196/38920 ER - TY - JOUR AU - Kotera, Yasuhiro AU - Rennick-Egglestone, Stefan AU - Ng, Fiona AU - Llewellyn-Beardsley, Joy AU - Ali, Yasmin AU - Newby, Chris AU - Fox, Caroline AU - Slade, Emily AU - Bradstreet, Simon AU - Harrison, Julian AU - Franklin, Donna AU - Todowede, Olamide AU - Slade, Mike PY - 2023/4/17 TI - Assessing Diversity and Inclusivity is the Next Frontier in Mental Health Recovery Narrative Research and Practice JO - JMIR Ment Health SP - e44601 VL - 10 KW - recovery narrative KW - web-based mental health interventions KW - inclusivity KW - diversity KW - collective action KW - curation KW - mental health KW - digital health KW - telemedicine KW - clinical practice KW - narrative research KW - demographic UR - https://mental.jmir.org/2023/1/e44601 UR - http://dx.doi.org/10.2196/44601 UR - http://www.ncbi.nlm.nih.gov/pubmed/37067882 ID - info:doi/10.2196/44601 ER - TY - JOUR AU - Westheimer, Lin Jessa AU - Moukaddam, Nidal AU - Lindsay, A. Jan AU - Sabharwal, Ashutosh AU - Najafi, Bijan AU - Iacobelli, A. Peter AU - Boland, J. Robert AU - Patriquin, A. Michelle PY - 2023/4/6 TI - Technology Implementation for Mental Health End Users: A Model to Guide Digital Transformation for Inpatient Mental Health Professionals JO - JMIR Ment Health SP - e40429 VL - 10 KW - digital transformation KW - user-centered design KW - innovation KW - implementation science KW - user acceptability KW - wearables KW - mental health KW - implementation KW - technology implementation UR - https://mental.jmir.org/2023/1/e40429 UR - http://dx.doi.org/10.2196/40429 UR - http://www.ncbi.nlm.nih.gov/pubmed/37023415 ID - info:doi/10.2196/40429 ER - TY - JOUR AU - Rayland, Amy AU - Andrews, Jacob PY - 2023/2/28 TI - From Social Network to Peer Support Network: Opportunities to Explore Mechanisms of Online Peer Support for Mental Health JO - JMIR Ment Health SP - e41855 VL - 10 KW - peer-to-peer support KW - Facebook KW - social networking sites KW - mental health KW - moderation UR - https://mental.jmir.org/2023/1/e41855 UR - http://dx.doi.org/10.2196/41855 UR - http://www.ncbi.nlm.nih.gov/pubmed/36853738 ID - info:doi/10.2196/41855 ER - TY - JOUR AU - Ito-Jaeger, Sachiyo AU - Perez Vallejos, Elvira AU - Logathasan, Saruka AU - Curran, Thomas AU - Crawford, Paul PY - 2023/1/9 TI - Young People?s Trust in Cocreated Web-Based Resources to Promote Mental Health Literacy: Focus Group Study JO - JMIR Ment Health SP - e38346 VL - 10 KW - trust KW - mental health KW - web KW - young people KW - cocreation KW - mental health literacy KW - qualitative study KW - thematic analysis KW - trustworthy KW - digital mental health KW - internet KW - digital health KW - mobile phone N2 - Background: There is a pressing need to create resources to promote mental health literacy among young people. Digital media is one of the methods that can be used to successfully promote mental health literacy. Although digital mental health resources are generally favorably perceived by young people, one of the essential factors in whether they choose to use these interventions is trust. Objective: The objective of this study was to explore young people?s trust-related concerns about and recommendations for the cocreated mental health website ?What?s Up With Everyone? by using TrustScapes. Our aim was to use the findings to improve the trustworthiness of the website and to inform future creators of web-based mental health resources. Methods: In total, 30 young people (mean age 19, SD 1.509; range 17-21 years) participated in TrustScapes focus groups. Thematic analysis was carried out to analyze both the TrustScapes worksheets and audio transcripts. Results: Qualitative analysis revealed that the mental health website contains elements perceived to be both trustworthy and untrustworthy by young people. The relatable and high-quality design, which was achieved by cocreating the website with a team of design professionals and young people, was considered to increase trust. Creators? credibility also positively affected trust, but the logos and other information about the creators were recommended to be more salient for users. Suggestions were made to update the privacy policy and cookie settings and include communication functions on the platform to improve the trustworthiness of the website. Conclusions: Factors perceived to be trustworthy included the website's relatable, high-quality design and creators? credibility, whereas those perceived to be untrustworthy included the privacy policy and cookie settings. The findings highlighted the significance of collaborating with end users and industrial partners and the importance of making the trust-enabling factors salient for users. We hope that these findings will inform future creators of web-based mental health resources to make these resources as trustworthy and effective as possible. UR - https://mental.jmir.org/2023/1/e38346 UR - http://dx.doi.org/10.2196/38346 UR - http://www.ncbi.nlm.nih.gov/pubmed/36622752 ID - info:doi/10.2196/38346 ER - TY - JOUR AU - Richey, G. Anabel AU - Kovacs, Ildiko AU - Browne, Sara PY - 2022/12/2 TI - Use of an Ingestible, Sensor-Based Digital Adherence System to Strengthen the Therapeutic Relationship in Serious Mental Illness JO - JMIR Ment Health SP - e39047 VL - 9 IS - 12 KW - patient-physician relationship KW - ingestible sensor KW - mental health KW - serious mental illness KW - antipsychotic KW - medication adherence KW - digital adherence KW - therapy KW - digital intervention KW - digital mental health UR - https://mental.jmir.org/2022/12/e39047 UR - http://dx.doi.org/10.2196/39047 UR - http://www.ncbi.nlm.nih.gov/pubmed/36459392 ID - info:doi/10.2196/39047 ER - TY - JOUR AU - Loch, Andrade Alexandre AU - Lopes-Rocha, Caroline Ana AU - Ara, Anderson AU - Gondim, Medrado João AU - Cecchi, A. Guillermo AU - Corcoran, Mary Cheryl AU - Mota, Bezerra Natália AU - Argolo, C. Felipe PY - 2022/11/1 TI - Ethical Implications of the Use of Language Analysis Technologies for the Diagnosis and Prediction of Psychiatric Disorders JO - JMIR Ment Health SP - e41014 VL - 9 IS - 11 KW - at-risk mental state KW - psychosis KW - clinical high risk KW - digital phenotyping KW - machine learning KW - artificial intelligence KW - natural language processing UR - https://mental.jmir.org/2022/11/e41014 UR - http://dx.doi.org/10.2196/41014 UR - http://www.ncbi.nlm.nih.gov/pubmed/36318266 ID - info:doi/10.2196/41014 ER - TY - JOUR AU - Benrimoh, David AU - Chheda, D. Forum AU - Margolese, C. Howard PY - 2022/10/28 TI - The Best Predictor of the Future?the Metaverse, Mental Health, and Lessons Learned From Current Technologies JO - JMIR Ment Health SP - e40410 VL - 9 IS - 10 KW - metaverse KW - mental health KW - social media KW - virtual reality KW - VR KW - digital experience KW - human interaction KW - mental health risk KW - teleworking KW - assisted therapy KW - teletherapy KW - benefits KW - safety KW - mental health problems KW - data security KW - privacy KW - protection KW - user safety KW - safety regulations KW - mobile phone UR - https://mental.jmir.org/2022/10/e40410 UR - http://dx.doi.org/10.2196/40410 UR - http://www.ncbi.nlm.nih.gov/pubmed/36306155 ID - info:doi/10.2196/40410 ER - TY - JOUR AU - Delanys, Sarah AU - Benamara, Farah AU - Moriceau, Véronique AU - Olivier, François AU - Mothe, Josiane PY - 2022/2/14 TI - Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French JO - JMIR Form Res SP - e18539 VL - 6 IS - 2 KW - social media analysis KW - psychiatric term use KW - social stigma KW - Twitter KW - social media KW - mental health N2 - Background: With the advent of digital technology and specifically user-generated contents in social media, new ways emerged for studying possible stigma of people in relation with mental health. Several pieces of work studied the discourse conveyed about psychiatric pathologies on Twitter considering mostly tweets in English and a limited number of psychiatric disorders terms. This paper proposes the first study to analyze the use of a wide range of psychiatric terms in tweets in French. Objective: Our aim is to study how generic, nosographic, and therapeutic psychiatric terms are used on Twitter in French. More specifically, our study has 3 complementary goals: (1) to analyze the types of psychiatric word use (medical, misuse, or irrelevant), (2) to analyze the polarity conveyed in the tweets that use these terms (positive, negative, or neural), and (3) to compare the frequency of these terms to those observed in related work (mainly in English). Methods: Our study was conducted on a corpus of tweets in French posted from January 1, 2016, to December 31, 2018, and collected using dedicated keywords. The corpus was manually annotated by clinical psychiatrists following a multilayer annotation scheme that includes the type of word use and the opinion orientation of the tweet. A qualitative analysis was performed to measure the reliability of the produced manual annotation, and then a quantitative analysis was performed considering mainly term frequency in each layer and exploring the interactions between them. Results: One of the first results is a resource as an annotated dataset. The initial dataset is composed of 22,579 tweets in French containing at least one of the selected psychiatric terms. From this set, experts in psychiatry randomly annotated 3040 tweets that corresponded to the resource resulting from our work. The second result is the analysis of the annotations showing that terms are misused in 45.33% (1378/3040) of the tweets and that their associated polarity is negative in 86.21% (1188/1378) of the cases. When considering the 3 types of term use, 52.14% (1585/3040) of the tweets are associated with a negative polarity. Misused terms related to psychotic disorders (721/1300, 55.46%) were more frequent to those related to depression (15/280, 5.4%). Conclusions: Some psychiatric terms are misused in the corpora we studied, which is consistent with the results reported in related work in other languages. Thanks to the great diversity of studied terms, this work highlighted a disparity in the representations and ways of using psychiatric terms. Moreover, our study is important to help psychiatrists to be aware of the term use in new communication media such as social networks that are widely used. This study has the huge advantage to be reproducible thanks to the framework and guidelines we produced so that the study could be renewed in order to analyze the evolution of term usage. While the newly build dataset is a valuable resource for other analytical studies, it could also serve to train machine learning algorithms to automatically identify stigma in social media. UR - https://formative.jmir.org/2022/2/e18539 UR - http://dx.doi.org/10.2196/18539 UR - http://www.ncbi.nlm.nih.gov/pubmed/35156925 ID - info:doi/10.2196/18539 ER - TY - JOUR AU - Hartford, Anna AU - Stein, J. Dan PY - 2022/2/11 TI - Attentional Harms and Digital Inequalities JO - JMIR Ment Health SP - e30838 VL - 9 IS - 2 KW - digital inequalities KW - attentional harms KW - excessive internet use KW - persuasive technologies KW - internet ethics KW - attention economies UR - https://mental.jmir.org/2022/2/e30838 UR - http://dx.doi.org/10.2196/30838 UR - http://www.ncbi.nlm.nih.gov/pubmed/35147504 ID - info:doi/10.2196/30838 ER - TY - JOUR AU - Rosenberg, M. Benjamin AU - Kodish, Tamar AU - Cohen, D. Zachary AU - Gong-Guy, Elizabeth AU - Craske, G. Michelle PY - 2022/1/26 TI - A Novel Peer-to-Peer Coaching Program to Support Digital Mental Health: Design and Implementation JO - JMIR Ment Health SP - e32430 VL - 9 IS - 1 KW - peer support KW - digital mental health KW - university students KW - college students KW - training and supervision KW - scalable psychological interventions UR - https://mental.jmir.org/2022/1/e32430 UR - http://dx.doi.org/10.2196/32430 UR - http://www.ncbi.nlm.nih.gov/pubmed/35080504 ID - info:doi/10.2196/32430 ER - TY - JOUR AU - Sutherland, Stephanie AU - Jeong, Dahn AU - Cheng, Michael AU - St-Jean, Mireille AU - Jalali, Alireza PY - 2022/1/7 TI - Perceptions of Educational Needs in an Era of Shifting Mental Health Care to Primary Care: Exploratory Pilot Study JO - JMIR Form Res SP - e32422 VL - 6 IS - 1 KW - mental health KW - Canada KW - qualitative research KW - caregiver KW - family physician KW - mentorship N2 - Background: There is an unmet need for mental health care in Canada. Primary care providers such as general practitioners and family physicians are the essential part of mental health care services; however, mental health is often underestimated and underprioritized by family physicians. It is currently not known what is required to increase care providers? willingness, comfort, and skills to adequately provide care to patients who present with mental health issues. Objective: The aim of this study was to understand the need of caregivers (family members overseeing care of an individual with a mental health diagnosis) and family physicians regarding the care and medical management of individuals with mental health conditions. Methods: A needs assessment was designed to understand the educational needs of caregivers and family physicians regarding the provision of mental health care, specifically to seek advice on the format and delivery mode for an educational curriculum to be accessed by both stakeholder groups. Exploratory qualitative interviews were conducted, and data were collected and analyzed iteratively until thematic saturation was achieved. Results: Caregivers of individuals with mental health conditions (n=24) and family physicians (n=10) were interviewed. Both the caregivers and the family physicians expressed dissatisfaction with the status quo regarding the provision of mental health care at the family physician?s office. They stated that there was a need for more educational materials as well as additional support. The caregivers expressed a general lack of confidence in family physicians to manage their son?s or daughter?s mental health condition, while family physicians sought more networking opportunities to improve and facilitate the provision of mental health care. Conclusions: Robust qualitative studies are necessary to identify the educational and medical management needs of caregivers and family physicians. Understanding each other?s perspectives is an essential first step to collaboratively designing, implementing, and subsequently evaluating community-based mental health care. Fortunately, there are initiatives underway to address these need areas (eg, websites such as the eMentalHealth, as well as the mentorship and collaborative care network), and information from this study can help inform the gaps in those existing initiatives. UR - https://formative.jmir.org/2022/1/e32422 UR - http://dx.doi.org/10.2196/32422 UR - http://www.ncbi.nlm.nih.gov/pubmed/34994704 ID - info:doi/10.2196/32422 ER - TY - JOUR AU - Kiekens, Glenn AU - Robinson, Kealagh AU - Tatnell, Ruth AU - Kirtley, J. Olivia PY - 2021/11/19 TI - Opening the Black Box of Daily Life in Nonsuicidal Self-injury Research: With Great Opportunity Comes Great Responsibility JO - JMIR Ment Health SP - e30915 VL - 8 IS - 11 KW - real-time monitoring KW - nonsuicidal self-injury KW - NSSI KW - experience sampling KW - ecological momentary assessment KW - digital psychiatry UR - https://mental.jmir.org/2021/11/e30915 UR - http://dx.doi.org/10.2196/30915 UR - http://www.ncbi.nlm.nih.gov/pubmed/34807835 ID - info:doi/10.2196/30915 ER - TY - JOUR AU - Spadaro, Benedetta AU - Martin-Key, A. Nayra AU - Bahn, Sabine PY - 2021/10/13 TI - Building the Digital Mental Health Ecosystem: Opportunities and Challenges for Mobile Health Innovators JO - J Med Internet Res SP - e27507 VL - 23 IS - 10 KW - digital implementation KW - digital mental health KW - digital psychiatry KW - digital technology KW - viewpoint UR - https://www.jmir.org/2021/10/e27507 UR - http://dx.doi.org/10.2196/27507 UR - http://www.ncbi.nlm.nih.gov/pubmed/34643537 ID - info:doi/10.2196/27507 ER - TY - JOUR AU - Evans, Yolanda AU - Hutchinson, Jeffrey AU - Ameenuddin, Nusheen PY - 2021/9/15 TI - Opportunity, Challenge, or Both? Managing Adolescent Socioemotional and Mental Health During Web-Based Learning JO - JMIR Ment Health SP - e26484 VL - 8 IS - 9 KW - pandemic KW - technology KW - media KW - bullying KW - mental health KW - distance learning UR - https://mental.jmir.org/2021/9/e26484 UR - http://dx.doi.org/10.2196/26484 UR - http://www.ncbi.nlm.nih.gov/pubmed/34524094 ID - info:doi/10.2196/26484 ER - TY - JOUR AU - Kozelka, Elizabeth Ellen AU - Jenkins, H. Janis AU - Carpenter-Song, Elizabeth PY - 2021/8/16 TI - Advancing Health Equity in Digital Mental Health: Lessons From Medical Anthropology for Global Mental Health JO - JMIR Ment Health SP - e28555 VL - 8 IS - 8 KW - qualitative methods KW - digital health KW - mental health KW - health equity UR - https://mental.jmir.org/2021/8/e28555 UR - http://dx.doi.org/10.2196/28555 UR - http://www.ncbi.nlm.nih.gov/pubmed/34398788 ID - info:doi/10.2196/28555 ER - TY - JOUR AU - Blease, Charlotte AU - Salmi, Liz AU - Hägglund, Maria AU - Wachenheim, Deborah AU - DesRoches, Catherine PY - 2021/6/21 TI - COVID-19 and Open Notes: A New Method to Enhance Patient Safety and Trust JO - JMIR Ment Health SP - e29314 VL - 8 IS - 6 KW - COVID-19 KW - patient portals KW - electronic health records KW - patient safety KW - patient-centered care UR - https://mental.jmir.org/2021/6/e29314 UR - http://dx.doi.org/10.2196/29314 UR - http://www.ncbi.nlm.nih.gov/pubmed/34081603 ID - info:doi/10.2196/29314 ER - TY - JOUR AU - Balcombe, Luke AU - De Leo, Diego PY - 2021/3/29 TI - Digital Mental Health Challenges and the Horizon Ahead for Solutions JO - JMIR Ment Health SP - e26811 VL - 8 IS - 3 KW - challenges KW - COVID-19 KW - digital mental health implementation KW - explainable artificial intelligence KW - hybrid model of care KW - human-computer interaction KW - resilience KW - technology UR - https://mental.jmir.org/2021/3/e26811 UR - http://dx.doi.org/10.2196/26811 UR - http://www.ncbi.nlm.nih.gov/pubmed/33779570 ID - info:doi/10.2196/26811 ER - TY - JOUR AU - Friis-Healy, A. Elsa AU - Nagy, A. Gabriela AU - Kollins, H. Scott PY - 2021/1/26 TI - It Is Time to REACT: Opportunities for Digital Mental Health Apps to Reduce Mental Health Disparities in Racially and Ethnically Minoritized Groups JO - JMIR Ment Health SP - e25456 VL - 8 IS - 1 KW - digital health KW - app KW - public mental health KW - health disparities KW - COVID-19 KW - pandemic KW - mental health KW - disparity KW - behavior UR - http://mental.jmir.org/2021/1/e25456/ UR - http://dx.doi.org/10.2196/25456 UR - http://www.ncbi.nlm.nih.gov/pubmed/33406050 ID - info:doi/10.2196/25456 ER - TY - JOUR AU - D'Alfonso, Simon AU - Lederman, Reeva AU - Bucci, Sandra AU - Berry, Katherine PY - 2020/12/29 TI - The Digital Therapeutic Alliance and Human-Computer Interaction JO - JMIR Ment Health SP - e21895 VL - 7 IS - 12 KW - therapeutic alliance KW - digital mental health KW - affective computing KW - persuasive computing KW - positive computing KW - mobile phone KW - mHealth UR - http://mental.jmir.org/2020/12/e21895/ UR - http://dx.doi.org/10.2196/21895 UR - http://www.ncbi.nlm.nih.gov/pubmed/33372897 ID - info:doi/10.2196/21895 ER - TY - JOUR AU - Martinez-Martin, Nicole AU - Dasgupta, Ishan AU - Carter, Adrian AU - Chandler, A. Jennifer AU - Kellmeyer, Philipp AU - Kreitmair, Karola AU - Weiss, Anthony AU - Cabrera, Y. Laura PY - 2020/12/22 TI - Ethics of Digital Mental Health During COVID-19: Crisis and Opportunities JO - JMIR Ment Health SP - e23776 VL - 7 IS - 12 KW - ethics KW - digital mental health KW - neuroethics KW - mental health KW - COVID-19 KW - crisis KW - opportunity KW - implementation KW - online tool KW - telehealth UR - https://mental.jmir.org/2020/12/e23776 UR - http://dx.doi.org/10.2196/23776 UR - http://www.ncbi.nlm.nih.gov/pubmed/33156811 ID - info:doi/10.2196/23776 ER - TY - JOUR AU - Rubanovich, Kseniya Caryn AU - Zhang, Wendy AU - Bloss, S. Cinnamon PY - 2020/11/26 TI - Direct-to-Consumer Genetic Ancestry Testing in Clinical Encounters: Perspectives From Psychotherapy Cases JO - JMIR Ment Health SP - e23596 VL - 7 IS - 11 KW - direct-to-consumer KW - genetic ancestry testing KW - therapeutic alliance KW - psychotherapy UR - http://mental.jmir.org/2020/11/e23596/ UR - http://dx.doi.org/10.2196/23596 UR - http://www.ncbi.nlm.nih.gov/pubmed/33242016 ID - info:doi/10.2196/23596 ER - TY - JOUR AU - Chamberlain, R. Liam AU - Hall, L. Charlotte AU - Andrén, Per AU - Davies, Bethan E. AU - Kilgariff, Joseph AU - Kouzoupi, Natalia AU - Murphy, Tara AU - Hollis, Chris PY - 2020/10/23 TI - Therapist-Supported Online Interventions for Children and Young People With Tic Disorders: Lessons Learned From a Randomized Controlled Trial and Considerations for Future Practice JO - JMIR Ment Health SP - e19600 VL - 7 IS - 10 KW - Tourette syndrome KW - tic disorders KW - internet-based cognitive behavioral therapy (iCBT) KW - remote therapy KW - therapist support UR - http://mental.jmir.org/2020/10/e19600/ UR - http://dx.doi.org/10.2196/19600 UR - http://www.ncbi.nlm.nih.gov/pubmed/33095180 ID - info:doi/10.2196/19600 ER - TY - JOUR AU - Rudd, N. Brittany AU - Beidas, S. Rinad PY - 2020/6/2 TI - Digital Mental Health: The Answer to the Global Mental Health Crisis? JO - JMIR Ment Health SP - e18472 VL - 7 IS - 6 KW - public mental health KW - universal mental health prevention KW - digital implementation support UR - https://mental.jmir.org/2020/6/e18472 UR - http://dx.doi.org/10.2196/18472 UR - http://www.ncbi.nlm.nih.gov/pubmed/32484445 ID - info:doi/10.2196/18472 ER - TY - JOUR AU - Torous, John AU - Jän Myrick, Keris AU - Rauseo-Ricupero, Natali AU - Firth, Joseph PY - 2020/3/26 TI - Digital Mental Health and COVID-19: Using Technology Today to Accelerate the Curve on Access and Quality Tomorrow JO - JMIR Ment Health SP - e18848 VL - 7 IS - 3 KW - digital health KW - emergency response KW - telehealth KW - apps UR - http://mental.jmir.org/2020/3/e18848/ UR - http://dx.doi.org/10.2196/18848 UR - http://www.ncbi.nlm.nih.gov/pubmed/32213476 ID - info:doi/10.2196/18848 ER - TY - JOUR AU - Reilly, Thomas AU - Mechelli, Andrea AU - McGuire, Philip AU - Fusar-Poli, Paolo AU - Uhlhaas, J. Peter PY - 2019/10/3 TI - E-Clinical High Risk for Psychosis: Viewpoint on Potential of Digital Innovations for Preventive Psychiatry JO - JMIR Ment Health SP - e14581 VL - 6 IS - 10 KW - psychotic disorders KW - schizophrenia KW - prognosis KW - treatment KW - clinical high risk KW - digital KW - e-health KW - internet KW - smartphone KW - mobile phone UR - https://mental.jmir.org/2019/10/e14581 UR - http://dx.doi.org/10.2196/14581 UR - http://www.ncbi.nlm.nih.gov/pubmed/31584006 ID - info:doi/10.2196/14581 ER - TY - JOUR AU - Alkhalifah, Shahad AU - Aldhalaan, Hesham PY - 2018/11/15 TI - Telehealth Services for Children With Autism Spectrum Disorders in Rural Areas of the Kingdom of Saudi Arabia: Overview and Recommendations JO - JMIR Pediatr Parent SP - e11402 VL - 1 IS - 2 KW - autism spectrum disorders KW - intervention KW - Saudi Arabia KW - telehealth UR - http://pediatrics.jmir.org/2018/2/e11402/ UR - http://dx.doi.org/10.2196/11402 UR - http://www.ncbi.nlm.nih.gov/pubmed/31518306 ID - info:doi/10.2196/11402 ER - TY - JOUR AU - Lind, N. Monika AU - Byrne, L. Michelle AU - Wicks, Geordie AU - Smidt, M. Alec AU - Allen, B. Nicholas PY - 2018/08/28 TI - The Effortless Assessment of Risk States (EARS) Tool: An Interpersonal Approach to Mobile Sensing JO - JMIR Ment Health SP - e10334 VL - 5 IS - 3 KW - passive mobile sensing KW - personal sensing KW - mobile sensing KW - mental health KW - risk assessment KW - crisis prevention KW - individual big data KW - telemedicine KW - mobile apps KW - cell phone KW - depression N2 - Background: To predict and prevent mental health crises, we must develop new approaches that can provide a dramatic advance in the effectiveness, timeliness, and scalability of our interventions. However, current methods of predicting mental health crises (eg, clinical monitoring, screening) usually fail on most, if not all, of these criteria. Luckily for us, 77% of Americans carry with them an unprecedented opportunity to detect risk states and provide precise life-saving interventions. Smartphones present an opportunity to empower individuals to leverage the data they generate through their normal phone use to predict and prevent mental health crises. Objective: To facilitate the collection of high-quality, passive mobile sensing data, we built the Effortless Assessment of Risk States (EARS) tool to enable the generation of predictive machine learning algorithms to solve previously intractable problems and identify risk states before they become crises. Methods: The EARS tool captures multiple indices of a person?s social and affective behavior via their naturalistic use of a smartphone. Although other mobile data collection tools exist, the EARS tool places a unique emphasis on capturing the content as well as the form of social communication on the phone. Signals collected include facial expressions, acoustic vocal quality, natural language use, physical activity, music choice, and geographical location. Critically, the EARS tool collects these data passively, with almost no burden on the user. We programmed the EARS tool in Java for the Android mobile platform. In building the EARS tool, we concentrated on two main considerations: (1) privacy and encryption and (2) phone use impact. Results: In a pilot study (N=24), participants tolerated the EARS tool well, reporting minimal burden. None of the participants who completed the study reported needing to use the provided battery packs. Current testing on a range of phones indicated that the tool consumed approximately 15% of the battery over a 16-hour period. Installation of the EARS tool caused minimal change in the user interface and user experience. Once installation is completed, the only difference the user notices is the custom keyboard. Conclusions: The EARS tool offers an innovative approach to passive mobile sensing by emphasizing the centrality of a person?s social life to their well-being. We built the EARS tool to power cutting-edge research, with the ultimate goal of leveraging individual big data to empower people and enhance mental health. UR - http://mental.jmir.org/2018/3/e10334/ UR - http://dx.doi.org/10.2196/10334 UR - http://www.ncbi.nlm.nih.gov/pubmed/30154072 ID - info:doi/10.2196/10334 ER - TY - JOUR AU - Young, D. Sean AU - Garett, Renee PY - 2018/05/03 TI - Ethical Issues in Addressing Social Media Posts About Suicidal Intentions During an Online Study Among Youth: Case Study JO - JMIR Ment Health SP - e33 VL - 5 IS - 2 KW - suicide KW - social media KW - undergraduates UR - http://mental.jmir.org/2018/2/e33/ UR - http://dx.doi.org/10.2196/mental.8971 UR - http://www.ncbi.nlm.nih.gov/pubmed/29724707 ID - info:doi/10.2196/mental.8971 ER - TY - JOUR AU - Martinez-Martin, Nicole AU - Kreitmair, Karola PY - 2018/04/23 TI - Ethical Issues for Direct-to-Consumer Digital Psychotherapy Apps: Addressing Accountability, Data Protection, and Consent JO - JMIR Ment Health SP - e32 VL - 5 IS - 2 KW - ethics KW - ethical issues KW - mental health KW - technology KW - telemedicine KW - mHealth KW - psychotherapy UR - http://mental.jmir.org/2018/2/e32/ UR - http://dx.doi.org/10.2196/mental.9423 UR - http://www.ncbi.nlm.nih.gov/pubmed/29685865 ID - info:doi/10.2196/mental.9423 ER - TY - JOUR AU - Chen, Yuzen Robert AU - Feltes, Robert Jordan AU - Tzeng, Shun William AU - Lu, Yunzhu Zoe AU - Pan, Michael AU - Zhao, Nan AU - Talkin, Rebecca AU - Javaherian, Kavon AU - Glowinski, Anne AU - Ross, Will PY - 2017/06/16 TI - Phone-Based Interventions in Adolescent Psychiatry: A Perspective and Proof of Concept Pilot Study With a Focus on Depression and Autism JO - JMIR Res Protoc SP - e114 VL - 6 IS - 6 KW - telemedicine KW - depression KW - autistic disorder KW - mobile applications KW - text messaging KW - child KW - mental health N2 - Background: Telemedicine has emerged as an innovative platform to diagnose and treat psychiatric disorders in a cost-effective fashion. Previous studies have laid the functional framework for monitoring and treating child psychiatric disorders electronically using videoconferencing, mobile phones (smartphones), and Web-based apps. However, phone call and text message (short message service, SMS) interventions in adolescent psychiatry are less studied than other electronic platforms. Further investigations on the development of these interventions are needed. Objective: The aim of this paper was to explore the utility of text message interventions in adolescent psychiatry and describe a user feedback-driven iterative design process for text message systems. Methods: We developed automated text message interventions using a platform for both depression (EpxDepression) and autism spectrum disorder (ASD; EpxAutism) and conducted 2 pilot studies for each intervention (N=3 and N=6, respectively). The interventions were prescribed by and accessible to the patients? healthcare providers. EpxDepression and EpxAutism utilized an automated system to triage patients into 1 of 3 risk categories based on their text responses and alerted providers directly via phone and an online interface when patients met provider-specified risk criteria. Rapid text-based feedback from participants and interviews with providers allowed for quick iterative cycles to improve interventions. Results: Patients using EpxDepression had high weekly response rates (100% over 2 to 4 months), but exhibited message fatigue with daily prompts with mean (SD) overall response rates of 66.3% (21.6%) and 64.7% (8.2%) for mood and sleep questionnaires, respectively. In contrast, parents using EpxAutism displayed both high weekly and overall response rates (100% and 85%, respectively, over 1 to 4 months) that did not decay significantly with time. Monthly participant feedback surveys for EpxDepression (7 surveys) and EpxAutism (18 surveys) preliminarily indicated that for both interventions, daily messages constituted the ?perfect amount? of contact and that EpxAutism, but not EpxDepression, improved patient communication with providers. Notably, EpxDepression detected thoughts of self-harm in patients before their case managers or caregivers were aware of such ideation. Conclusions: Text-message interventions in adolescent psychiatry can provide a cost-effective and engaging method to track symptoms, behavior, and ideation over time. Following the collection of pilot data and feedback from providers and patients, larger studies are already underway to validate the clinical utility of EpxDepression and EpxAutism. Trial Registration: Clinicaltrials.gov NCT03002311; https://clinicaltrials.gov/ct2/show/NCT03002311 (Archived by WebCite at http://www.webcitation.org/6qQtlCIS0) UR - http://www.researchprotocols.org/2017/6/e114/ UR - http://dx.doi.org/10.2196/resprot.7245 UR - http://www.ncbi.nlm.nih.gov/pubmed/28623183 ID - info:doi/10.2196/resprot.7245 ER - TY - JOUR AU - Tang, Wei AU - Kreindler, David PY - 2017/06/08 TI - Supporting Homework Compliance in Cognitive Behavioural Therapy: Essential Features of Mobile Apps JO - JMIR Ment Health SP - e20 VL - 4 IS - 2 KW - cognitive behavioral therapy KW - homework compliance KW - mobile apps UR - http://mental.jmir.org/2017/2/e20/ UR - http://dx.doi.org/10.2196/mental.5283 UR - http://www.ncbi.nlm.nih.gov/pubmed/28596145 ID - info:doi/10.2196/mental.5283 ER - TY - JOUR AU - Mohr, C. David AU - Lyon, R. Aaron AU - Lattie, G. Emily AU - Reddy, Madhu AU - Schueller, M. Stephen PY - 2017/05/10 TI - Accelerating Digital Mental Health Research From Early Design and Creation to Successful Implementation and Sustainment JO - J Med Internet Res SP - e153 VL - 19 IS - 5 KW - eHealth KW - mHealth KW - methodology UR - http://www.jmir.org/2017/5/e153/ UR - http://dx.doi.org/10.2196/jmir.7725 UR - http://www.ncbi.nlm.nih.gov/pubmed/28490417 ID - info:doi/10.2196/jmir.7725 ER - TY - JOUR AU - Wentzel, Jobke AU - van der Vaart, Rosalie AU - Bohlmeijer, T. Ernst AU - van Gemert-Pijnen, C. Julia E. W. PY - 2016/02/09 TI - Mixing Online and Face-to-Face Therapy: How to Benefit From Blended Care in Mental Health Care JO - JMIR Mental Health SP - e9 VL - 3 IS - 1 KW - blended care KW - Internet-delivered cognitive behavior therapy KW - mental health care KW - online KW - shared decision making UR - http://mental.jmir.org/2016/1/e9/ UR - http://dx.doi.org/10.2196/mental.4534 UR - http://www.ncbi.nlm.nih.gov/pubmed/26860537 ID - info:doi/10.2196/mental.4534 ER - TY - JOUR AU - Baumel, Amit AU - Muench, Fred PY - 2016/01/13 TI - Heuristic Evaluation of Ehealth Interventions: Establishing Standards That Relate to the Therapeutic Process Perspective JO - JMIR Mental Health SP - e5 VL - 3 IS - 1 KW - eHealth KW - mHealth KW - digital health KW - mobile health KW - heuristics KW - evaluation KW - principles KW - therapeutic process UR - http://mental.jmir.org/2016/1/e5/ UR - http://dx.doi.org/10.2196/mental.4563 UR - http://www.ncbi.nlm.nih.gov/pubmed/26764209 ID - info:doi/10.2196/mental.4563 ER - TY - JOUR AU - Maercker, Andreas AU - Bachem, C. Rahel AU - Lorenz, Louisa AU - Moser, T. Christian AU - Berger, Thomas PY - 2015/05/08 TI - Adjustment Disorders Are Uniquely Suited for eHealth Interventions: Concept and Case Study JO - JMIR Mental Health SP - e15 VL - 2 IS - 2 KW - adjustment disorders KW - intervention KW - e-mental health KW - unguided self-help KW - depression N2 - Background: Adjustment disorders (also known as mental distress in response to a stressor) are among the most frequently diagnosed mental disorders in psychiatry and clinical psychology worldwide. They are also commonly diagnosed in clients engaging in deliberate self-harm and in those consulting general practitioners. However, their reputation in research-oriented mental health remains weak since they are largely underresearched. This may change when the International Statistical Classification of Diseases-11 (ICD-11) by the World Health Organization is introduced, including a new conceptualization of adjustment disorders as a stress-response disorder with positively defined core symptoms. Objective: This paper provides an overview of evidence-based interventions for adjustment disorders. Methods: We reviewed the new ICD-11 concept of adjustment disorder and discuss the the rationale and case study of an unguided self-help protocol for burglary victims with adjustment disorder, and its possible implementation as an eHealth intervention. Results: Overall, the treatment with the self-help manual reduced symptoms of adjustment disorder, namely preoccupation and failure to adapt, as well as symptoms of depression, anxiety, and stress. Conclusions: E-mental health options are considered uniquely suited for offering early intervention after the experiences of stressful life events that potentially trigger adjustment disorders. UR - http://mental.jmir.org/2015/2/e15/ UR - http://dx.doi.org/10.2196/mental.4157 UR - http://www.ncbi.nlm.nih.gov/pubmed/26543920 ID - info:doi/10.2196/mental.4157 ER -