@Article{info:doi/10.2196/60754,
author="Loch, Andrade Alexandre
and Kotov, Roman",
title="Promises and Pitfalls of Internet Search Data in Mental Health: Critical Review",
journal="JMIR Ment Health",
year="2025",
month="Feb",
day="18",
volume="12",
pages="e60754",
keywords="privacy",
keywords="stigma",
keywords="online",
keywords="prevention",
keywords="internet",
keywords="search data",
keywords="mental health",
keywords="health care",
keywords="clinical information",
keywords="World Health Organization",
keywords="WHO",
keywords="digital health",
keywords="mental illness",
keywords="digital technologies",
keywords="social network",
keywords="mobile health",
keywords="mHealth",
doi="10.2196/60754",
url="https://mental.jmir.org/2025/1/e60754"
}


@Article{info:doi/10.2196/58068,
author="Gorban, Carla
and McKenna, Sarah
and Chong, K. Min
and Capon, William
and Battisti, Robert
and Crowley, Alison
and Whitwell, Bradley
and Ottavio, Antonia
and Scott, M. Elizabeth
and Hickie, B. Ian
and Iorfino, Frank",
title="Building Mutually Beneficial Collaborations Between Digital Navigators, Mental Health Professionals, and Clients: Naturalistic Observational Case Study",
journal="JMIR Ment Health",
year="2024",
month="Nov",
day="6",
volume="11",
pages="e58068",
keywords="digital navigator",
keywords="digital coach",
keywords="clinical technology specialist",
keywords="mental health services",
keywords="shared decision-making",
keywords="lived experience",
keywords="implementation",
keywords="poor engagement",
keywords="decision-making",
keywords="mental health",
keywords="digital mental health",
keywords="digital mental health technology",
doi="10.2196/58068",
url="https://mental.jmir.org/2024/1/e58068"
}


@Article{info:doi/10.2196/64626,
author="McAlister, L. Kelsey
and Beatty, C. Clare
and Smith-Caswell, E. Jacqueline
and Yourell, L. Jacqlyn
and Huberty, L. Jennifer",
title="Social Media Use in Adolescents: Bans, Benefits, and Emotion Regulation Behaviors",
journal="JMIR Ment Health",
year="2024",
month="Nov",
day="4",
volume="11",
pages="e64626",
keywords="adolescent social media",
keywords="social media bans",
keywords="emotion regulation",
keywords="youth",
keywords="adolescent",
keywords="media use",
keywords="social platform",
keywords="social network",
keywords="self-regulation",
keywords="behavioral health",
keywords="mental health",
keywords="digital health",
keywords="technology",
keywords="digital literacy",
doi="10.2196/64626",
url="https://mental.jmir.org/2024/1/e64626"
}


@Article{info:doi/10.2196/58493,
author="Tavory, Tamar",
title="Regulating AI in Mental Health: Ethics of Care Perspective",
journal="JMIR Ment Health",
year="2024",
month="Sep",
day="19",
volume="11",
pages="e58493",
keywords="artificial intelligence",
keywords="ethics of care",
keywords="regulation",
keywords="legal",
keywords="relationship",
keywords="mental health",
keywords="mental healthcare",
keywords="AI",
keywords="ethic",
keywords="ethics",
keywords="ethical",
keywords="regulations",
keywords="law",
keywords="framework",
keywords="frameworks",
keywords="regulatory",
keywords="relationships",
keywords="chatbot",
keywords="chatbots",
keywords="conversational agent",
keywords="conversational agents",
keywords="European Artificial Intelligence Act",
doi="10.2196/58493",
url="https://mental.jmir.org/2024/1/e58493"
}


@Article{info:doi/10.2196/58432,
author="French, Blandine
and Babbage, Camilla
and Bird, Katherine
and Marsh, Lauren
and Pelton, Mirabel
and Patel, Shireen
and Cassidy, Sarah
and Rennick-Egglestone, Stefan",
title="Data Integrity Issues With Web-Based Studies: An Institutional Example of a Widespread Challenge",
journal="JMIR Ment Health",
year="2024",
month="Sep",
day="16",
volume="11",
pages="e58432",
keywords="web-based research",
keywords="web-based studies",
keywords="qualitative studies",
keywords="surveys",
keywords="mental health",
keywords="data integrity, misrepresentation",
doi="10.2196/58432",
url="https://mental.jmir.org/2024/1/e58432"
}


@Article{info:doi/10.2196/54781,
author="Haber, Yuval
and Levkovich, Inbar
and Hadar-Shoval, Dorit
and Elyoseph, Zohar",
title="The Artificial Third: A Broad View of the Effects of Introducing Generative Artificial Intelligence on Psychotherapy",
journal="JMIR Ment Health",
year="2024",
month="May",
day="23",
volume="11",
pages="e54781",
keywords="psychoanalysis",
keywords="generative artificial intelligence",
keywords="psychotherapy",
keywords="large language models",
keywords="narcissism",
keywords="narcissist",
keywords="narcissistic",
keywords="perception",
keywords="perceptions",
keywords="critical thinking",
keywords="transparency",
keywords="autonomy",
keywords="mental health",
keywords="interpersonal",
keywords="LLM",
keywords="LLMs",
keywords="language model",
keywords="language models",
keywords="artificial intelligence",
keywords="generative",
keywords="AI",
keywords="ethic",
keywords="ethics",
keywords="ethical",
doi="10.2196/54781",
url="https://mental.jmir.org/2024/1/e54781"
}


@Article{info:doi/10.2196/48441,
author="Ridout, Brad
and Forsyth, Rowena
and Amon, L. Krestina
and Navarro, Pablo
and Campbell, J. Andrew",
title="The Urgent Need for an Evidence-Based Digital Mental Health Practice Model of Care for Youth",
journal="JMIR Ment Health",
year="2024",
month="Mar",
day="22",
volume="11",
pages="e48441",
keywords="mental health",
keywords="internet",
keywords="digital health",
keywords="telecounselling",
keywords="social networking",
keywords="telehealth",
keywords="telemedicine",
keywords="counseling",
keywords="counselling",
keywords="service",
keywords="services",
keywords="healthcare delivery",
keywords="youth",
keywords="model",
doi="10.2196/48441",
url="https://mental.jmir.org/2024/1/e48441"
}


@Article{info:doi/10.2196/49936,
author="Ettman, K. Catherine
and Galea, Sandro",
title="The Potential Influence of AI on Population Mental Health",
journal="JMIR Ment Health",
year="2023",
month="Nov",
day="16",
volume="10",
pages="e49936",
keywords="mental health",
keywords="artificial intelligence",
keywords="AI",
keywords="policy",
keywords="policies",
keywords="population health",
keywords="population",
keywords="ChatGPT",
keywords="generative",
keywords="tools",
keywords="digital mental health",
doi="10.2196/49936",
url="https://mental.jmir.org/2023/1/e49936",
url="http://www.ncbi.nlm.nih.gov/pubmed/37971803"
}


@Article{info:doi/10.2196/44679,
author="N{\`e}ve de M{\'e}vergnies, Constance
and Verhaeghe, Nick
and Koster, W. Ernst H.
and Baeken, Chris
and Vander Zwalmen, Yannick
and Hoorelbeke, Kristof",
title="Health Economic Evaluation of Cognitive Control Training for Depression: Key Considerations",
journal="JMIR Ment Health",
year="2023",
month="Aug",
day="18",
volume="10",
pages="e44679",
keywords="health economic evaluation",
keywords="cost utility",
keywords="cognitive control training",
keywords="CCT",
keywords="depression recurrence",
keywords="health policies",
doi="10.2196/44679",
url="https://mental.jmir.org/2023/1/e44679",
url="http://www.ncbi.nlm.nih.gov/pubmed/37594847"
}


@Article{info:doi/10.2196/38920,
author="Lind, N. Monika
and Kahn, E. Lauren
and Crowley, Ryann
and Reed, Wyatt
and Wicks, Geordie
and Allen, B. Nicholas",
title="Reintroducing the Effortless Assessment Research System (EARS)",
journal="JMIR Ment Health",
year="2023",
month="Apr",
day="26",
volume="10",
pages="e38920",
keywords="mobile sensing",
keywords="passive sensing",
keywords="personal sensing",
keywords="digital phenotyping",
keywords="ecological momentary assessment",
keywords="digital mental health",
doi="10.2196/38920",
url="https://mental.jmir.org/2023/1/e38920",
url="http://www.ncbi.nlm.nih.gov/pubmed/37099361"
}


@Article{info:doi/10.2196/44601,
author="Kotera, Yasuhiro
and Rennick-Egglestone, Stefan
and Ng, Fiona
and Llewellyn-Beardsley, Joy
and Ali, Yasmin
and Newby, Chris
and Fox, Caroline
and Slade, Emily
and Bradstreet, Simon
and Harrison, Julian
and Franklin, Donna
and Todowede, Olamide
and Slade, Mike",
title="Assessing Diversity and Inclusivity is the Next Frontier in Mental Health Recovery Narrative Research and Practice",
journal="JMIR Ment Health",
year="2023",
month="Apr",
day="17",
volume="10",
pages="e44601",
keywords="recovery narrative",
keywords="web-based mental health interventions",
keywords="inclusivity",
keywords="diversity",
keywords="collective action",
keywords="curation",
keywords="mental health",
keywords="digital health",
keywords="telemedicine",
keywords="clinical practice",
keywords="narrative research",
keywords="demographic",
doi="10.2196/44601",
url="https://mental.jmir.org/2023/1/e44601",
url="http://www.ncbi.nlm.nih.gov/pubmed/37067882"
}


@Article{info:doi/10.2196/40429,
author="Westheimer, Lin Jessa
and Moukaddam, Nidal
and Lindsay, A. Jan
and Sabharwal, Ashutosh
and Najafi, Bijan
and Iacobelli, A. Peter
and Boland, J. Robert
and Patriquin, A. Michelle",
title="Technology Implementation for Mental Health End Users: A Model to Guide Digital Transformation for Inpatient Mental Health Professionals",
journal="JMIR Ment Health",
year="2023",
month="Apr",
day="6",
volume="10",
pages="e40429",
keywords="digital transformation",
keywords="user-centered design",
keywords="innovation",
keywords="implementation science",
keywords="user acceptability",
keywords="wearables",
keywords="mental health",
keywords="implementation",
keywords="technology implementation",
doi="10.2196/40429",
url="https://mental.jmir.org/2023/1/e40429",
url="http://www.ncbi.nlm.nih.gov/pubmed/37023415"
}


@Article{info:doi/10.2196/41855,
author="Rayland, Amy
and Andrews, Jacob",
title="From Social Network to Peer Support Network: Opportunities to Explore Mechanisms of Online Peer Support for Mental Health",
journal="JMIR Ment Health",
year="2023",
month="Feb",
day="28",
volume="10",
pages="e41855",
keywords="peer-to-peer support",
keywords="Facebook",
keywords="social networking sites",
keywords="mental health",
keywords="moderation",
doi="10.2196/41855",
url="https://mental.jmir.org/2023/1/e41855",
url="http://www.ncbi.nlm.nih.gov/pubmed/36853738"
}


@Article{info:doi/10.2196/38346,
author="Ito-Jaeger, Sachiyo
and Perez Vallejos, Elvira
and Logathasan, Saruka
and Curran, Thomas
and Crawford, Paul",
title="Young People's Trust in Cocreated Web-Based Resources to Promote Mental Health Literacy: Focus Group Study",
journal="JMIR Ment Health",
year="2023",
month="Jan",
day="9",
volume="10",
pages="e38346",
keywords="trust",
keywords="mental health",
keywords="web",
keywords="young people",
keywords="cocreation",
keywords="mental health literacy",
keywords="qualitative study",
keywords="thematic analysis",
keywords="trustworthy",
keywords="digital mental health",
keywords="internet",
keywords="digital health",
keywords="mobile phone",
abstract="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. ",
doi="10.2196/38346",
url="https://mental.jmir.org/2023/1/e38346",
url="http://www.ncbi.nlm.nih.gov/pubmed/36622752"
}


@Article{info:doi/10.2196/39047,
author="Richey, G. Anabel
and Kovacs, Ildiko
and Browne, Sara",
title="Use of an Ingestible, Sensor-Based Digital Adherence System to Strengthen the Therapeutic Relationship in Serious Mental Illness",
journal="JMIR Ment Health",
year="2022",
month="Dec",
day="2",
volume="9",
number="12",
pages="e39047",
keywords="patient-physician relationship",
keywords="ingestible sensor",
keywords="mental health",
keywords="serious mental illness",
keywords="antipsychotic",
keywords="medication adherence",
keywords="digital adherence",
keywords="therapy",
keywords="digital intervention",
keywords="digital mental health",
doi="10.2196/39047",
url="https://mental.jmir.org/2022/12/e39047",
url="http://www.ncbi.nlm.nih.gov/pubmed/36459392"
}


@Article{info:doi/10.2196/41014,
author="Loch, Andrade Alexandre
and Lopes-Rocha, Caroline Ana
and Ara, Anderson
and Gondim, Medrado Jo{\~a}o
and Cecchi, A. Guillermo
and Corcoran, Mary Cheryl
and Mota, Bezerra Nat{\'a}lia
and Argolo, C. Felipe",
title="Ethical Implications of the Use of Language Analysis Technologies for the Diagnosis and Prediction of Psychiatric Disorders",
journal="JMIR Ment Health",
year="2022",
month="Nov",
day="1",
volume="9",
number="11",
pages="e41014",
keywords="at-risk mental state",
keywords="psychosis",
keywords="clinical high risk",
keywords="digital phenotyping",
keywords="machine learning",
keywords="artificial intelligence",
keywords="natural language processing",
doi="10.2196/41014",
url="https://mental.jmir.org/2022/11/e41014",
url="http://www.ncbi.nlm.nih.gov/pubmed/36318266"
}


@Article{info:doi/10.2196/40410,
author="Benrimoh, David
and Chheda, D. Forum
and Margolese, C. Howard",
title="The Best Predictor of the Future---the Metaverse, Mental Health, and Lessons Learned From Current Technologies",
journal="JMIR Ment Health",
year="2022",
month="Oct",
day="28",
volume="9",
number="10",
pages="e40410",
keywords="metaverse",
keywords="mental health",
keywords="social media",
keywords="virtual reality",
keywords="VR",
keywords="digital experience",
keywords="human interaction",
keywords="mental health risk",
keywords="teleworking",
keywords="assisted therapy",
keywords="teletherapy",
keywords="benefits",
keywords="safety",
keywords="mental health problems",
keywords="data security",
keywords="privacy",
keywords="protection",
keywords="user safety",
keywords="safety regulations",
keywords="mobile phone",
doi="10.2196/40410",
url="https://mental.jmir.org/2022/10/e40410",
url="http://www.ncbi.nlm.nih.gov/pubmed/36306155"
}


@Article{info:doi/10.2196/18539,
author="Delanys, Sarah
and Benamara, Farah
and Moriceau, V{\'e}ronique
and Olivier, Fran{\c{c}}ois
and Mothe, Josiane",
title="Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French",
journal="JMIR Form Res",
year="2022",
month="Feb",
day="14",
volume="6",
number="2",
pages="e18539",
keywords="social media analysis",
keywords="psychiatric term use",
keywords="social stigma",
keywords="Twitter",
keywords="social media",
keywords="mental health",
abstract="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. ",
doi="10.2196/18539",
url="https://formative.jmir.org/2022/2/e18539",
url="http://www.ncbi.nlm.nih.gov/pubmed/35156925"
}


@Article{info:doi/10.2196/30838,
author="Hartford, Anna
and Stein, J. Dan",
title="Attentional Harms and Digital Inequalities",
journal="JMIR Ment Health",
year="2022",
month="Feb",
day="11",
volume="9",
number="2",
pages="e30838",
keywords="digital inequalities",
keywords="attentional harms",
keywords="excessive internet use",
keywords="persuasive technologies",
keywords="internet ethics",
keywords="attention economies",
doi="10.2196/30838",
url="https://mental.jmir.org/2022/2/e30838",
url="http://www.ncbi.nlm.nih.gov/pubmed/35147504"
}


@Article{info:doi/10.2196/32430,
author="Rosenberg, M. Benjamin
and Kodish, Tamar
and Cohen, D. Zachary
and Gong-Guy, Elizabeth
and Craske, G. Michelle",
title="A Novel Peer-to-Peer Coaching Program to Support Digital Mental Health: Design and Implementation",
journal="JMIR Ment Health",
year="2022",
month="Jan",
day="26",
volume="9",
number="1",
pages="e32430",
keywords="peer support",
keywords="digital mental health",
keywords="university students",
keywords="college students",
keywords="training and supervision",
keywords="scalable psychological interventions",
doi="10.2196/32430",
url="https://mental.jmir.org/2022/1/e32430",
url="http://www.ncbi.nlm.nih.gov/pubmed/35080504"
}


@Article{info:doi/10.2196/32422,
author="Sutherland, Stephanie
and Jeong, Dahn
and Cheng, Michael
and St-Jean, Mireille
and Jalali, Alireza",
title="Perceptions of Educational Needs in an Era of Shifting Mental Health Care to Primary Care: Exploratory Pilot Study",
journal="JMIR Form Res",
year="2022",
month="Jan",
day="7",
volume="6",
number="1",
pages="e32422",
keywords="mental health",
keywords="Canada",
keywords="qualitative research",
keywords="caregiver",
keywords="family physician",
keywords="mentorship",
abstract="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. ",
doi="10.2196/32422",
url="https://formative.jmir.org/2022/1/e32422",
url="http://www.ncbi.nlm.nih.gov/pubmed/34994704"
}


@Article{info:doi/10.2196/30915,
author="Kiekens, Glenn
and Robinson, Kealagh
and Tatnell, Ruth
and Kirtley, J. Olivia",
title="Opening the Black Box of Daily Life in Nonsuicidal Self-injury Research: With Great Opportunity Comes Great Responsibility",
journal="JMIR Ment Health",
year="2021",
month="Nov",
day="19",
volume="8",
number="11",
pages="e30915",
keywords="real-time monitoring",
keywords="nonsuicidal self-injury",
keywords="NSSI",
keywords="experience sampling",
keywords="ecological momentary assessment",
keywords="digital psychiatry",
doi="10.2196/30915",
url="https://mental.jmir.org/2021/11/e30915",
url="http://www.ncbi.nlm.nih.gov/pubmed/34807835"
}


@Article{info:doi/10.2196/27507,
author="Spadaro, Benedetta
and Martin-Key, A. Nayra
and Bahn, Sabine",
title="Building the Digital Mental Health Ecosystem: Opportunities and Challenges for Mobile Health Innovators",
journal="J Med Internet Res",
year="2021",
month="Oct",
day="13",
volume="23",
number="10",
pages="e27507",
keywords="digital implementation",
keywords="digital mental health",
keywords="digital psychiatry",
keywords="digital technology",
keywords="viewpoint",
doi="10.2196/27507",
url="https://www.jmir.org/2021/10/e27507",
url="http://www.ncbi.nlm.nih.gov/pubmed/34643537"
}


@Article{info:doi/10.2196/26484,
author="Evans, Yolanda
and Hutchinson, Jeffrey
and Ameenuddin, Nusheen",
title="Opportunity, Challenge, or Both? Managing Adolescent Socioemotional and Mental Health During Web-Based Learning",
journal="JMIR Ment Health",
year="2021",
month="Sep",
day="15",
volume="8",
number="9",
pages="e26484",
keywords="pandemic",
keywords="technology",
keywords="media",
keywords="bullying",
keywords="mental health",
keywords="distance learning",
doi="10.2196/26484",
url="https://mental.jmir.org/2021/9/e26484",
url="http://www.ncbi.nlm.nih.gov/pubmed/34524094"
}


@Article{info:doi/10.2196/28555,
author="Kozelka, Elizabeth Ellen
and Jenkins, H. Janis
and Carpenter-Song, Elizabeth",
title="Advancing Health Equity in Digital Mental Health: Lessons From Medical Anthropology for Global Mental Health",
journal="JMIR Ment Health",
year="2021",
month="Aug",
day="16",
volume="8",
number="8",
pages="e28555",
keywords="qualitative methods",
keywords="digital health",
keywords="mental health",
keywords="health equity",
doi="10.2196/28555",
url="https://mental.jmir.org/2021/8/e28555",
url="http://www.ncbi.nlm.nih.gov/pubmed/34398788"
}


@Article{info:doi/10.2196/29314,
author="Blease, Charlotte
and Salmi, Liz
and H{\"a}gglund, Maria
and Wachenheim, Deborah
and DesRoches, Catherine",
title="COVID-19 and Open Notes: A New Method to Enhance Patient Safety and Trust",
journal="JMIR Ment Health",
year="2021",
month="Jun",
day="21",
volume="8",
number="6",
pages="e29314",
keywords="COVID-19",
keywords="patient portals",
keywords="electronic health records",
keywords="patient safety",
keywords="patient-centered care",
doi="10.2196/29314",
url="https://mental.jmir.org/2021/6/e29314",
url="http://www.ncbi.nlm.nih.gov/pubmed/34081603"
}


@Article{info:doi/10.2196/26811,
author="Balcombe, Luke
and De Leo, Diego",
title="Digital Mental Health Challenges and the Horizon Ahead for Solutions",
journal="JMIR Ment Health",
year="2021",
month="Mar",
day="29",
volume="8",
number="3",
pages="e26811",
keywords="challenges",
keywords="COVID-19",
keywords="digital mental health implementation",
keywords="explainable artificial intelligence",
keywords="hybrid model of care",
keywords="human-computer interaction",
keywords="resilience",
keywords="technology",
doi="10.2196/26811",
url="https://mental.jmir.org/2021/3/e26811",
url="http://www.ncbi.nlm.nih.gov/pubmed/33779570"
}


@Article{info:doi/10.2196/25456,
author="Friis-Healy, A. Elsa
and Nagy, A. Gabriela
and Kollins, H. Scott",
title="It Is Time to REACT: Opportunities for Digital Mental Health Apps to Reduce Mental Health Disparities in Racially and Ethnically Minoritized Groups",
journal="JMIR Ment Health",
year="2021",
month="Jan",
day="26",
volume="8",
number="1",
pages="e25456",
keywords="digital health",
keywords="app",
keywords="public mental health",
keywords="health disparities",
keywords="COVID-19",
keywords="pandemic",
keywords="mental health",
keywords="disparity",
keywords="behavior",
doi="10.2196/25456",
url="http://mental.jmir.org/2021/1/e25456/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33406050"
}


@Article{info:doi/10.2196/21895,
author="D'Alfonso, Simon
and Lederman, Reeva
and Bucci, Sandra
and Berry, Katherine",
title="The Digital Therapeutic Alliance and Human-Computer Interaction",
journal="JMIR Ment Health",
year="2020",
month="Dec",
day="29",
volume="7",
number="12",
pages="e21895",
keywords="therapeutic alliance",
keywords="digital mental health",
keywords="affective computing",
keywords="persuasive computing",
keywords="positive computing",
keywords="mobile phone",
keywords="mHealth",
doi="10.2196/21895",
url="http://mental.jmir.org/2020/12/e21895/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33372897"
}


@Article{info:doi/10.2196/23776,
author="Martinez-Martin, Nicole
and Dasgupta, Ishan
and Carter, Adrian
and Chandler, A. Jennifer
and Kellmeyer, Philipp
and Kreitmair, Karola
and Weiss, Anthony
and Cabrera, Y. Laura",
title="Ethics of Digital Mental Health During COVID-19: Crisis and Opportunities",
journal="JMIR Ment Health",
year="2020",
month="Dec",
day="22",
volume="7",
number="12",
pages="e23776",
keywords="ethics",
keywords="digital mental health",
keywords="neuroethics",
keywords="mental health",
keywords="COVID-19",
keywords="crisis",
keywords="opportunity",
keywords="implementation",
keywords="online tool",
keywords="telehealth",
doi="10.2196/23776",
url="https://mental.jmir.org/2020/12/e23776",
url="http://www.ncbi.nlm.nih.gov/pubmed/33156811"
}


@Article{info:doi/10.2196/23596,
author="Rubanovich, Kseniya Caryn
and Zhang, Wendy
and Bloss, S. Cinnamon",
title="Direct-to-Consumer Genetic Ancestry Testing in Clinical Encounters: Perspectives From Psychotherapy Cases",
journal="JMIR Ment Health",
year="2020",
month="Nov",
day="26",
volume="7",
number="11",
pages="e23596",
keywords="direct-to-consumer",
keywords="genetic ancestry testing",
keywords="therapeutic alliance",
keywords="psychotherapy",
doi="10.2196/23596",
url="http://mental.jmir.org/2020/11/e23596/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33242016"
}


@Article{info:doi/10.2196/19600,
author="Chamberlain, R. Liam
and Hall, L. Charlotte
and Andr{\'e}n, Per
and Davies, Bethan E.
and Kilgariff, Joseph
and Kouzoupi, Natalia
and Murphy, Tara
and Hollis, Chris",
title="Therapist-Supported Online Interventions for Children and Young People With Tic Disorders: Lessons Learned From a Randomized Controlled Trial and Considerations for Future Practice",
journal="JMIR Ment Health",
year="2020",
month="Oct",
day="23",
volume="7",
number="10",
pages="e19600",
keywords="Tourette syndrome",
keywords="tic disorders",
keywords="internet-based cognitive behavioral therapy (iCBT)",
keywords="remote therapy",
keywords="therapist support",
doi="10.2196/19600",
url="http://mental.jmir.org/2020/10/e19600/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33095180"
}


@Article{info:doi/10.2196/18472,
author="Rudd, N. Brittany
and Beidas, S. Rinad",
title="Digital Mental Health: The Answer to the Global Mental Health Crisis?",
journal="JMIR Ment Health",
year="2020",
month="Jun",
day="2",
volume="7",
number="6",
pages="e18472",
keywords="public mental health",
keywords="universal mental health prevention",
keywords="digital implementation support",
doi="10.2196/18472",
url="https://mental.jmir.org/2020/6/e18472",
url="http://www.ncbi.nlm.nih.gov/pubmed/32484445"
}


@Article{info:doi/10.2196/18848,
author="Torous, John
and J{\"a}n Myrick, Keris
and Rauseo-Ricupero, Natali
and Firth, Joseph",
title="Digital Mental Health and COVID-19: Using Technology Today to Accelerate the Curve on Access and Quality Tomorrow",
journal="JMIR Ment Health",
year="2020",
month="Mar",
day="26",
volume="7",
number="3",
pages="e18848",
keywords="digital health",
keywords="emergency response",
keywords="telehealth",
keywords="apps",
doi="10.2196/18848",
url="http://mental.jmir.org/2020/3/e18848/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32213476"
}


@Article{info:doi/10.2196/14581,
author="Reilly, Thomas
and Mechelli, Andrea
and McGuire, Philip
and Fusar-Poli, Paolo
and Uhlhaas, J. Peter",
title="E-Clinical High Risk for Psychosis: Viewpoint on Potential of Digital Innovations for Preventive Psychiatry",
journal="JMIR Ment Health",
year="2019",
month="Oct",
day="3",
volume="6",
number="10",
pages="e14581",
keywords="psychotic disorders",
keywords="schizophrenia",
keywords="prognosis",
keywords="treatment",
keywords="clinical high risk",
keywords="digital",
keywords="e-health",
keywords="internet",
keywords="smartphone",
keywords="mobile phone",
doi="10.2196/14581",
url="https://mental.jmir.org/2019/10/e14581",
url="http://www.ncbi.nlm.nih.gov/pubmed/31584006"
}


@Article{info:doi/10.2196/11402,
author="Alkhalifah, Shahad
and Aldhalaan, Hesham",
title="Telehealth Services for Children With Autism Spectrum Disorders in Rural Areas of the Kingdom of Saudi Arabia: Overview and Recommendations",
journal="JMIR Pediatr Parent",
year="2018",
month="Nov",
day="15",
volume="1",
number="2",
pages="e11402",
keywords="autism spectrum disorders",
keywords="intervention",
keywords="Saudi Arabia",
keywords="telehealth",
doi="10.2196/11402",
url="http://pediatrics.jmir.org/2018/2/e11402/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31518306"
}


@Article{info:doi/10.2196/10334,
author="Lind, N. Monika
and Byrne, L. Michelle
and Wicks, Geordie
and Smidt, M. Alec
and Allen, B. Nicholas",
title="The Effortless Assessment of Risk States (EARS) Tool: An Interpersonal Approach to Mobile Sensing",
journal="JMIR Ment Health",
year="2018",
month="Aug",
day="28",
volume="5",
number="3",
pages="e10334",
keywords="passive mobile sensing",
keywords="personal sensing",
keywords="mobile sensing",
keywords="mental health",
keywords="risk assessment",
keywords="crisis prevention",
keywords="individual big data",
keywords="telemedicine",
keywords="mobile apps",
keywords="cell phone",
keywords="depression",
abstract="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. ",
doi="10.2196/10334",
url="http://mental.jmir.org/2018/3/e10334/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30154072"
}


@Article{info:doi/10.2196/mental.8971,
author="Young, D. Sean
and Garett, Renee",
title="Ethical Issues in Addressing Social Media Posts About Suicidal Intentions During an Online Study Among Youth: Case Study",
journal="JMIR Ment Health",
year="2018",
month="May",
day="03",
volume="5",
number="2",
pages="e33",
keywords="suicide",
keywords="social media",
keywords="undergraduates",
doi="10.2196/mental.8971",
url="http://mental.jmir.org/2018/2/e33/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29724707"
}


@Article{info:doi/10.2196/mental.9423,
author="Martinez-Martin, Nicole
and Kreitmair, Karola",
title="Ethical Issues for Direct-to-Consumer Digital Psychotherapy Apps: Addressing Accountability, Data Protection, and Consent",
journal="JMIR Ment Health",
year="2018",
month="Apr",
day="23",
volume="5",
number="2",
pages="e32",
keywords="ethics",
keywords="ethical issues",
keywords="mental health",
keywords="technology",
keywords="telemedicine",
keywords="mHealth",
keywords="psychotherapy",
doi="10.2196/mental.9423",
url="http://mental.jmir.org/2018/2/e32/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29685865"
}


@Article{info:doi/10.2196/resprot.7245,
author="Chen, Yuzen Robert
and Feltes, Robert Jordan
and Tzeng, Shun William
and Lu, Yunzhu Zoe
and Pan, Michael
and Zhao, Nan
and Talkin, Rebecca
and Javaherian, Kavon
and Glowinski, Anne
and Ross, Will",
title="Phone-Based Interventions in Adolescent Psychiatry: A Perspective and Proof of Concept Pilot Study With a Focus on Depression and Autism",
journal="JMIR Res Protoc",
year="2017",
month="Jun",
day="16",
volume="6",
number="6",
pages="e114",
keywords="telemedicine",
keywords="depression",
keywords="autistic disorder",
keywords="mobile applications",
keywords="text messaging",
keywords="child",
keywords="mental health",
abstract="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) ",
doi="10.2196/resprot.7245",
url="http://www.researchprotocols.org/2017/6/e114/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28623183"
}


@Article{info:doi/10.2196/mental.5283,
author="Tang, Wei
and Kreindler, David",
title="Supporting Homework Compliance in Cognitive Behavioural Therapy: Essential Features of Mobile Apps",
journal="JMIR Ment Health",
year="2017",
month="Jun",
day="08",
volume="4",
number="2",
pages="e20",
keywords="cognitive behavioral therapy",
keywords="homework compliance",
keywords="mobile apps",
doi="10.2196/mental.5283",
url="http://mental.jmir.org/2017/2/e20/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28596145"
}


@Article{info:doi/10.2196/jmir.7725,
author="Mohr, C. David
and Lyon, R. Aaron
and Lattie, G. Emily
and Reddy, Madhu
and Schueller, M. Stephen",
title="Accelerating Digital Mental Health Research From Early Design and Creation to Successful Implementation and Sustainment",
journal="J Med Internet Res",
year="2017",
month="May",
day="10",
volume="19",
number="5",
pages="e153",
keywords="eHealth",
keywords="mHealth",
keywords="methodology",
doi="10.2196/jmir.7725",
url="http://www.jmir.org/2017/5/e153/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28490417"
}


@Article{info:doi/10.2196/mental.4534,
author="Wentzel, Jobke
and van der Vaart, Rosalie
and Bohlmeijer, T. Ernst
and van Gemert-Pijnen, C. Julia E. W.",
title="Mixing Online and Face-to-Face Therapy: How to Benefit From Blended Care in Mental Health Care",
journal="JMIR Mental Health",
year="2016",
month="Feb",
day="09",
volume="3",
number="1",
pages="e9",
keywords="blended care",
keywords="Internet-delivered cognitive behavior therapy",
keywords="mental health care",
keywords="online",
keywords="shared decision making",
doi="10.2196/mental.4534",
url="http://mental.jmir.org/2016/1/e9/",
url="http://www.ncbi.nlm.nih.gov/pubmed/26860537"
}


@Article{info:doi/10.2196/mental.4563,
author="Baumel, Amit
and Muench, Fred",
title="Heuristic Evaluation of Ehealth Interventions: Establishing Standards That Relate to the Therapeutic Process Perspective",
journal="JMIR Mental Health",
year="2016",
month="Jan",
day="13",
volume="3",
number="1",
pages="e5",
keywords="eHealth",
keywords="mHealth",
keywords="digital health",
keywords="mobile health",
keywords="heuristics",
keywords="evaluation",
keywords="principles",
keywords="therapeutic process",
doi="10.2196/mental.4563",
url="http://mental.jmir.org/2016/1/e5/",
url="http://www.ncbi.nlm.nih.gov/pubmed/26764209"
}


@Article{info:doi/10.2196/mental.4157,
author="Maercker, Andreas
and Bachem, C. Rahel
and Lorenz, Louisa
and Moser, T. Christian
and Berger, Thomas",
title="Adjustment Disorders Are Uniquely Suited for eHealth Interventions: Concept and Case Study",
journal="JMIR Mental Health",
year="2015",
month="May",
day="08",
volume="2",
number="2",
pages="e15",
keywords="adjustment disorders",
keywords="intervention",
keywords="e-mental health",
keywords="unguided self-help",
keywords="depression",
abstract="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. ",
doi="10.2196/mental.4157",
url="http://mental.jmir.org/2015/2/e15/",
url="http://www.ncbi.nlm.nih.gov/pubmed/26543920"
}