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JMIR Mental Health

Elizabeth A Laird, Assumpta Ryan, Claire McCauley, Raymond B Bond, Maurice D Mulvenna, Kevin J Curran, Brendan Bunting, Finola Ferry, Aideen Gibson
BACKGROUND: Dementia is an international research priority. Reminiscence is an intervention that prompts memories and has been widely used as a therapeutic approach for people living with dementia. We developed a novel iPad app to support home-based personalized reminiscence. It is crucial that technology-enabled reminiscence interventions are appraised. OBJECTIVE: We sought to measure the effect of technology-enabled reminiscence on mutuality (defined as the level of "closeness" between an adult living with dementia and their carer), quality of carer and patient relationship, and subjective well-being...
September 11, 2018: JMIR Mental Health
Juliana Onwumere, Filipa Amaral, Lucia R Valmaggia
BACKGROUND: Psychotic disorders are severe mental health conditions that adversely affect the quality of life and life expectancy. Schizophrenia, the most common and severe form of psychosis affects 21 million people globally. Informal caregivers (families) are known to play an important role in facilitating patient recovery outcomes, although their own health and well-being could be adversely affected by the illness. The application of novel digital interventions in mental health care for patient groups is rapidly expanding; interestingly, however, far less is known about their role with family caregivers...
September 5, 2018: JMIR Mental Health
Alicia Heraz, Manfred Clynes
BACKGROUND: Emotions affect our mental health: they influence our perception, alter our physical strength, and interfere with our reason. Emotions modulate our face, voice, and movements. When emotions are expressed through the voice or face, they are difficult to measure because cameras and microphones are not often used in real life in the same laboratory conditions where emotion detection algorithms perform well. With the increasing use of smartphones, the fact that we touch our phones, on average, thousands of times a day, and that emotions modulate our movements, we have an opportunity to explore emotional patterns in passive expressive touches and detect emotions, enabling us to empower smartphone apps with emotional intelligence...
August 30, 2018: JMIR Mental Health
Daniel Di Matteo, Alexa Fine, Kathryn Fotinos, Jonathan Rose, Martin Katzman
BACKGROUND: It has become possible to use data from a patient's mobile phone as an adjunct or alternative to the traditional self-report and interview methods of symptom assessment in psychiatry. Mobile data-based assessment is possible because of the large amounts of diverse information available from a modern mobile phone, including geolocation, screen activity, physical motion, and communication activity. This data may offer much more fine-grained insight into mental state than traditional methods, and so we are motivated to pursue research in this direction...
August 29, 2018: JMIR Mental Health
Monika N Lind, Michelle L Byrne, Geordie Wicks, Alec M Smidt, Nicholas B Allen
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...
August 28, 2018: JMIR Mental Health
Matthew Fuller-Tyszkiewicz, Ben Richardson, Britt Klein, Helen Skouteris, Helen Christensen, David Austin, David Castle, Cathrine Mihalopoulos, Renee O'Donnell, Lilani Arulkadacham, Adrian Shatte, Anna Ware
BACKGROUND: Despite the growing number of mental health apps available for smartphones, the perceived usability of these apps from the perspectives of end users or health care experts has rarely been reported. This information is vital, particularly for self-guided mHealth interventions, as perceptions of navigability and quality of content are likely to impact participant engagement and treatment compliance. OBJECTIVE: The aim of this study was to conduct a usability evaluation of a personalized, self-guided, app-based intervention for depression...
August 23, 2018: JMIR Mental Health
Traci H Abraham, Kathy Marchant-Miros, Michael B McCarther, Michelle G Craske, Geoffrey M Curran, Lisa K Kearney, Carolyn Greene, Jan A Lindsay, Michael A Cucciare
BACKGROUND: A national priority at the US Department of Veterans Affairs (VA) is to increase the availability and accessibility of evidence-based psychotherapies (EBPs) across all VA medical facilities. Yet many veterans, particularly those who use remote outpatient VA clinics, still do not receive much needed evidence-based treatment. Strategies are needed for supporting mental health providers at rural VA community-based outpatient clinics (CBOCs) as they translate their clinical training to routine practice...
August 22, 2018: JMIR Mental Health
Lahiru Russell, Anna Ugalde, Donna Milne, David Austin, Patricia M Livingston
BACKGROUND: Internet-supported mindfulness-based interventions (MBIs) are increasingly being used to support people with a chronic condition. Characteristics of MBIs vary greatly in their mode of delivery, communication patterns, level of facilitator involvement, intervention period, and resource intensity, making it difficult to compare how individual digital features may optimize intervention adherence and outcomes. OBJECTIVE: The aims of this review were to (1) provide a description of digital characteristics of internet-supported MBIs and examine how these relate to evidence for efficacy and adherence to the intervention and (2) gain insights into the type of information available to inform translation of internet-supported MBIs to applied settings...
August 21, 2018: JMIR Mental Health
Michael Jae Song, John Ward, Fiona Choi, Mohammadali Nikoo, Anastasia Frank, Farhud Shams, Katarina Tabi, Daniel Vigo, Michael Krausz
BACKGROUND: Despite the increasing amount of research on Web-based mental health interventions with proven efficacy, high attrition rates decrease their effectiveness. Continued process evaluations should be performed to maximize the target population's engagement. Google Analytics has been used to evaluate various health-related Web-based programs and may also be useful for Web-based mental health programs. OBJECTIVE: The objective of our study was to evaluate WalkAlong...
August 20, 2018: JMIR Mental Health
Nora E Mueller, Trishan Panch, Cathaleene Macias, Bruce M Cohen, Dost Ongur, Justin T Baker
BACKGROUND: Management of severe and persistent mental illness is a complex, resource-intensive challenge for individuals, their families, treaters, and the health care system at large. Community-based rehabilitation, in which peer specialists provide support for individuals managing their own condition, has demonstrated effectiveness but has only been implemented in specialty centers. It remains unclear how the peer-based community rehabilitation model could be expanded, given that it requires significant resources to both establish and maintain...
August 15, 2018: JMIR Mental Health
Elisabet Rondung, Elin Ternström, Ingegerd Hildingsson, Helen M Haines, Örjan Sundin, Johanna Ekdahl, Annika Karlström, Birgitta Larsson, Birgitta Segeblad, Rebecca Baylis, Christine Rubertsson
BACKGROUND: Although many pregnant women report fear related to the approaching birth, no consensus exists on how fear of birth should be handled in clinical care. OBJECTIVE: This randomized controlled trial aimed to compare the efficacy of a guided internet-based self-help program based on cognitive behavioral therapy (guided ICBT) with standard care on the levels of fear of birth in a sample of pregnant women reporting fear of birth. METHODS: This nonblinded, multicenter randomized controlled trial with a parallel design was conducted at three study centers (hospitals) in Sweden...
August 10, 2018: JMIR Mental Health
Juan Carlos Quiroz, Elena Geangu, Min Hooi Yong
BACKGROUND: Research in psychology has shown that the way a person walks reflects that person's current mood (or emotional state). Recent studies have used mobile phones to detect emotional states from movement data. OBJECTIVE: The objective of our study was to investigate the use of movement sensor data from a smart watch to infer an individual's emotional state. We present our findings of a user study with 50 participants. METHODS: The experimental design is a mixed-design study: within-subjects (emotions: happy, sad, and neutral) and between-subjects (stimulus type: audiovisual "movie clips" and audio "music clips")...
August 8, 2018: JMIR Mental Health
Alexis S Hammond, Michael J Paul, Joseph Hobelmann, Animesh R Koratana, Mark Dredze, Margaret S Chisolm
BACKGROUND: Substance use is a major issue for adolescents and young adults, particularly college students. With the importance of peer influence and the ubiquitous use of social media among these age groups, it is important to assess what is discussed on various social media sites regarding substance use. One particular mobile app (Yik Yak) allowed users to post any message anonymously to nearby persons, often in areas with close proximity to major colleges and universities. OBJECTIVE: This study describes the content, including attitude toward substances, of social media discussions that occurred near college campuses and involved substances...
August 2, 2018: JMIR Mental Health
Shinichiro Suganuma, Daisuke Sakamoto, Haruhiko Shimoyama
BACKGROUND: Recent years have seen an increase in the use of internet-based cognitive behavioral therapy in the area of mental health. Although lower effectiveness and higher dropout rates of unguided than those of guided internet-based cognitive behavioral therapy remain critical issues, not incurring ongoing human clinical resources makes it highly advantageous. OBJECTIVE: Current research in psychotherapy, which acknowledges the importance of therapeutic alliance, aims to evaluate the feasibility and acceptability, in terms of mental health, of an application that is embodied with a conversational agent...
July 31, 2018: JMIR Mental Health
Lucia Bonet, Blanca Llácer, Miguel Hernandez-Viadel, David Arce, Ignacio Blanquer, Carlos Cañete, Maria Escartí, Ana M González-Pinto, Julio Sanjuán
BACKGROUND: Despite a growing interest in the use of technology in order to support the treatment of psychotic disorders, limited knowledge exists about the viability and acceptability of these eHealth interventions in relation to the clinical characteristics of patients. OBJECTIVE: The objective of this study was to assess the access and use of, as well as experiences and interest in, new technologies using a survey of patients diagnosed with early psychosis compared with a survey of patients diagnosed with chronic psychotic disorders...
July 25, 2018: JMIR Mental Health
César G Escobar-Viera, Darren L Whitfield, Charles B Wessel, Ariel Shensa, Jaime E Sidani, Andre L Brown, Cristian J Chandler, Beth L Hoffman, Michael P Marshal, Brian A Primack
BACKGROUND: Over 90% of adults in the United States have at least one social media account, and lesbian, gay, and bisexual (LGB) persons are more socially active on social media than heterosexuals. Rates of depression among LGB persons are between 1.5- and 2-fold higher than those among their heterosexual counterparts. Social media allows users to connect, interact, and express ideas, emotions, feelings, and thoughts. Thus, social media use might represent both a protective and a risk factor for depression among LGB persons...
July 23, 2018: JMIR Mental Health
Eyal Karin, Blake F Dear, Gillian Z Heller, Milena Gandy, Nickolai Titov
BACKGROUND: Accurate measurement of treatment-related change is a key part of psychotherapy research and the investigation of treatment efficacy. For this reason, the ability to measure change with accurate and valid methods is critical for psychotherapy. OBJECTIVE: The aims of this study were to (1) explore the underlying characteristics of depressive symptom change, measured with the nine-item Patient Health Questionnaire (PHQ-9), following psychotherapy, and (2) compare the suitability of different ways to measure and interpret symptom change...
July 12, 2018: JMIR Mental Health
Raphael Schuster, Sophia Sigl, Thomas Berger, Anton-Rupert Laireiter
BACKGROUND: Blended group therapy combines group sessions with Web- and mobile-based treatment modules. Consequently, blended group therapy widens the choice within blended interventions at reasonable costs. This is the first qualitative study on blended group therapy. OBJECTIVE: The objective of this study was to investigate the patient-centered feasibility of blended group therapy for major depression, with special emphasis on the fit and dynamic interplay between face-to-face and internet-based elements...
July 11, 2018: JMIR Mental Health
Alan R Teo, Samuel Bl Liebow, Benjamin Chan, Steven K Dobscha, Amanda L Graham
BACKGROUND: Younger military veterans are at high risk for psychiatric disorders and suicide. Reaching and engaging veterans in mental health care and research is challenging. Social media platforms may be an effective channel to connect with veterans. OBJECTIVE: This study tested the effectiveness of Facebook advertisements in reaching and recruiting Iraq and Afghanistan-era military veterans in a research study focused on mental health. METHODS: Facebook ads requesting participation in an online health survey ran for six weeks in 2017...
July 5, 2018: JMIR Mental Health
Mehdi Boukhechba, Philip Chow, Karl Fua, Bethany A Teachman, Laura E Barnes
BACKGROUND: Social anxiety is highly prevalent among college students. Current methodologies for detecting symptoms are based on client self-report in traditional clinical settings. Self-report is subject to recall bias, while visiting a clinic requires a high level of motivation. Assessment methods that use passively collected data hold promise for detecting social anxiety symptoms and supplementing self-report measures. Continuously collected location data may provide a fine-grained and ecologically valid way to assess social anxiety in situ...
July 4, 2018: JMIR Mental Health
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