Dataset Information

Toward Game-Based Digital Mental Health Interventions: Player Habits and Preferences.

ABSTRACT: BACKGROUND:Designers of digital interventions for mental health often leverage interactions from games because the intrinsic motivation that results from game-based interventions may increase participation and translate into improved treatment efficacy. However, there are outstanding questions about the suitability (eg, are desktop or mobile interventions more appropriate?) and intervention potential (eg, do people with depression activate enough to play?) of games for mental health. OBJECTIVE:In this paper, we aimed to describe the presently unknown relationship between gaming activity and indicators of well-being so that designers make informed choices when designing game-based interventions for mental health. METHODS:We gathered validated scales of well-being (Beck's Depression Inventory [BDI-II], Patient Health Questionnaire [PHQ-9], trait anxiety [TA], and basic psychological needs satisfaction [BPNS]), play importance (control over game behavior: control; gamer identity: identity), and play behavior (play frequency, platform preferences, and genre preferences) in a Web-based survey (N=491). RESULTS:The majority of our participants played games a few times a week (45.3%, 222/490) or daily (34.3%, 168/490). In terms of depression, play frequency was associated with PHQ-9 (P=.003); PHQ-9 scores were higher for those who played daily than for those who played a few times a week or less. Similarly, for BDI-II (P=.01), scores were higher for those who played daily than for those who played once a week or less. Genre preferences were not associated with PHQ-9 (P=.32) or BDI-II (P=.68); however, platform preference (ie, mobile, desktop, or console) was associated with PHQ-9 (P=.04); desktop-only players had higher PHQ-9 scores than those who used all platforms. Platform preference was not associated with BDI-II (P=.18). In terms of anxiety, TA was not associated with frequency (P=.23), platform preference (P=.07), or genre preference (P=.99). In terms of needs satisfaction, BPNS was not associated with frequency (P=.25) or genre preference (P=.53), but it was associated with platform preference (P=.01); desktop-only players had lower needs satisfaction than those who used all platforms. As expected, play frequency was associated with identity (P<.001) and control (P<.001); those who played more had identified more as a gamer and had less control over their gameplay. Genre preference was associated with identity (P<.001) and control (P<.001); those who played most common genres had higher control over their play and identified most as gamers. Platform preference was not associated with control (P=.80), but was with identity (P=.001); those who played on all devices identified more as a gamer than those who played on mobiles or consoles only. CONCLUSIONS:Our results suggest that games are a suitable approach for mental health interventions as they are played broadly by people across a range of indicators of mental health. We further unpack the platform preferences and genre preferences of players with varying levels of well-being.

SUBMITTER: Mandryk RL

PROVIDER: S-EPMC5418528 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Toward Game-Based Digital Mental Health Interventions: Player Habits and Preferences.

Mandryk Regan Lee RL Birk Max Valentin MV

Journal of medical Internet research 20170420 4

<h4>Background</h4>Designers of digital interventions for mental health often leverage interactions from games because the intrinsic motivation that results from game-based interventions may increase participation and translate into improved treatment efficacy. However, there are outstanding questions about the suitability (eg, are desktop or mobile interventions more appropriate?) and intervention potential (eg, do people with depression activate enough to play?) of games for mental health.<h4> ...[more]

PMID: 28428161

Similar Datasets

Project description:Internet-based interventions are recognised as a practical approach to address mental health issues. The acceptance and utilisation of such interventions are closely linked to user attitudes and preferences. This study aims to examine the predictors of university students' attitudes towards internet-based interventions. Additionally, it seeks to elucidate students' preferences regarding crucial features of these interventions, such as the format, delivery mode, content type, and structural components, to understand better what makes these interventions appealing and practical for university students. A total of 273 university students (comprising 68 % females and 32 % males) participated in the study. The data collection instruments employed were the Personal Information Form, Internet-Based Intervention Preference Survey, E-therapy Attitude Measure (ETAM), Digital Literacy Scale, Patient Health Questionnaire-9, and the Generalized Anxiety Disorder-7 (GAD-7). The data were analysed utilising descriptive statistics, Pearson correlation analysis, and multiple linear regression analysis. The multiple regression analysis revealed digital literacy as a predictive factor for attitudes towards internet-based interventions. Demographic variables, such as age and gender, and psychological variables, such as depression and anxiety levels, were found not to be associated with attitudes towards these interventions. While students are actively seeking mental health information online, a significant majority remain unaware of internet-based interventions. They show a preference for interventions offering greater human interaction, including face-to-face guidance and video content featuring people. Participants favour completing one or two sessions of the intervention weekly. Desired features of internet-based interventions include self-assessment scales, relatable characters, voice relaxation exercises, practical daily life activity tasks, and weekly reminders throughout the process. In conclusion, initiatives aimed at enhancing digital literacy levels could foster more positive attitudes towards internet-based interventions among students. Developers creating Internet-Based Interventions (IBI) for university students should consider these preferences.

Project description:BACKGROUND:Digital or video games are played by millions of adolescents and young adults around the world and are one of the technologies used by youths to access mental health services. Youths with mental health problems strongly endorse the use of technologies, including mobile and online platforms, to receive information, support their treatment journeys (eg, decision-making tools), and facilitate recovery. A growing body of literature explores the advantages of playing digital games for improving attention span and memory, managing emotions, promoting behavior change, and supporting treatment for mental illness (eg, anxiety, depression, or posttraumatic stress disorder). The research field has also focused on the negative impact of video games, describing potential harms related to aggression, addiction, and depression. To promote clarity on this matter, there is a great need for knowledge synthesis offering recommendations on how video games can be safely and effectively adopted and integrated into youth mental health services. OBJECTIVE:The Gaming My Way to Recovery scoping review project assesses existing evidence on the use of digital game interventions within the context of mental health services for youths (aged 11-29 years) using the stepped care model as the conceptual framework. The research question is as follows: For which youth mental health conditions have digital games been used and what broad objectives (eg, prevention, treatment) have they addressed? METHODS:Using the methodology proposed by Arksey and O'Malley, this scoping review will map the available evidence on the use of digital games for youths between 11 and 29 years old with mental health or substance use problems, or both. RESULTS:The review will bring together evidence-based knowledge to assist mental health providers and policymakers in evaluating the potential benefits and risks of these interventions. Following funding of the project in September 2018, we completed the search in November 2018, and carried out data screening and stakeholder engagement activities during preparation of the protocol. We will conduct a knowledge synthesis based on specific disorders, treatment level and modality, type of service, population, settings, ethical practices, and user engagement and offer recommendations concerning the integration of video game technologies and programs, future research and practice, and knowledge dissemination. CONCLUSIONS:Digital game interventions employ unique, experiential, and interactive features that potentially improve skills and facilitate learning among players. Digital games may also provide a new treatment platform for youths with mental health conditions. Assessing current knowledge on video game technology and interventions may potentially improve the range of interventions offered by youth mental health services while supporting prevention, intervention, and treatment. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID):PRR1-10.2196/13834.

Project description:BackgroundDigital mental health interventions offer unique advantages, and research indicates that these interventions are effective for a range of mental health concerns. Although these interventions are less established for individuals with serious mental illnesses, they demonstrate significant promise. A central consideration in traditional face-to-face therapies is the therapeutic alliance, whereas the nature of a digital therapeutic alliance and its relationship with outcomes requires further attention, particularly for individuals with serious mental illnesses.ObjectiveThis narrative review aims to encourage further consideration and critical evaluation of the therapeutic alliance in digital mental health, specifically for individuals with serious mental illnesses.MethodsA narrative review was conducted by combining 3 main areas of the literature: the first examining the evidence for digital mental health interventions for serious mental illnesses, the second illuminating the nature and role of the therapeutic alliance in digital interventions, and the third surrounding practical considerations to enhance a digital therapeutic alliance.ResultsResults indicated that a therapeutic alliance can be cultivated in digital interventions for those with serious mental illnesses, but that it may have unique, yet-to-be-confirmed characteristics in digital contexts. In addition, a therapeutic alliance appears to be less directly associated with outcomes in digital interventions than with those in face-to-face therapies. One possibility is that the digital therapeutic alliance is associated with increased engagement and adherence to digital interventions, through which it appears to influence outcomes. A number of design and implementation considerations may enhance the digital therapeutic alliance, including human support and technological features.ConclusionsMore research is required to further understand the nature and specific role of a therapeutic alliance in digital interventions for serious mental illnesses, particularly in informing their design. This review revealed several key research priorities to advance the therapeutic alliance in digital interventions.

Project description:BackgroundWhile many digital mental health interventions (DMHIs) have been found to be efficacious, patient engagement with DMHIs has increasingly emerged as a concern for implementation in real-world clinical settings. To address engagement, we must first understand what standard engagement levels are in the context of randomized controlled trials (RCTs) and how these compare with other treatments.ObjectiveThis scoping review aims to examine the state of reporting on intervention engagement in RCTs of mobile app-based interventions intended to treat symptoms of depression. We sought to identify what engagement metrics are and are not routinely reported as well as what the metrics that are reported reflect about standard engagement levels.MethodsWe conducted a systematic search of 7 databases to identify studies meeting our eligibility criteria, namely, RCTs that evaluated use of a mobile app-based intervention in adults, for which depressive symptoms were a primary outcome of interest. We then extracted 2 kinds of information from each article: intervention details and indices of DMHI engagement. A 5-element framework of minimum necessary DMHI engagement reporting was derived by our team and guided our data extraction. This framework included (1) recommended app use as communicated to participants at enrollment and, when reported, app adherence criteria; (2) rate of intervention uptake among those assigned to the intervention; (3) level of app use metrics reported, specifically number of uses and time spent using the app; (4) duration of app use metrics (ie, weekly use patterns); and (5) number of intervention completers.ResultsDatabase searching yielded 2083 unique records. Of these, 22 studies were eligible for inclusion. Only 64% (14/22) of studies included in this review specified rate of intervention uptake. Level of use metrics was only reported in 59% (13/22) of the studies reviewed. Approximately one-quarter of the studies (5/22, 23%) reported duration of use metrics. Only half (11/22, 50%) of the studies reported the number of participants who completed the app-based components of the intervention as intended or other metrics related to completion. Findings in those studies reporting metrics related to intervention completion indicated that between 14.4% and 93.0% of participants randomized to a DMHI condition completed the intervention as intended or according to a specified adherence criteria.ConclusionsFindings suggest that engagement was underreported and widely varied. It was not uncommon to see completion rates at or below 50% (11/22) of those participants randomized to a treatment condition or to simply see completion rates not reported at all. This variability in reporting suggests a failure to establish sufficient reporting standards and limits the conclusions that can be drawn about level of engagement with DMHIs. Based on these findings, the 5-element framework applied in this review may be useful as a minimum necessary standard for DMHI engagement reporting.

Dataset Information

Toward Game-Based Digital Mental Health Interventions: Player Habits and Preferences.

Publications

Toward Game-Based Digital Mental Health Interventions: Player Habits and Preferences.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets