Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review

Journal of Medical Internet Research, Journal Year: 2021, Volume and Issue: 23(3), P. e24387 - e24387

Published: Feb. 8, 2021

Digital mental health interventions (DMHIs), which deliver support via technologies such as mobile apps, can increase access to support, and many studies have demonstrated their effectiveness in improving symptoms. However, user engagement varies, with regard a user's uptake sustained interactions these interventions.This systematic review aims identify common barriers facilitators that influence DMHIs.A search was conducted the SCOPUS, PubMed, PsycINFO, Web of Science, Cochrane Library databases. Empirical report qualitative and/or quantitative data were included.A total 208 articles met inclusion criteria. The included used variety methodologies, including interviews, surveys, focus groups, workshops, field studies, analysis reviews. Factors extracted for coding related end user, program or content offered by intervention, technology implementation environment. Common severe issues hampered engagement, technical issues, lack personalization. social connectedness facilitated increased insight into health, feeling being control one's own health.Although previous research suggests DMHIs be useful supporting contextual factors are important determinants whether users actually engage interventions. identified this provide guidance when evaluating help explain understand inform design development new digital

Language: Английский

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Smartphone Apps for the Treatment of Mental Disorders: Systematic Review

JMIR mhealth and uhealth, Journal Year: 2020, Volume and Issue: 8(4), P. e14897 - e14897

Published: Jan. 20, 2020

Background Smartphone apps are an increasingly popular means for delivering psychological interventions to patients suffering from a mental disorder. In line with this popularity, there is need analyze and summarize the state of art, both technical perspective. Objective This study aimed systematically review literature on use smartphones interventions. Our systematic has following objectives: (1) coverage disorders in research articles per year; (2) types assessment disorder (3) map advanced features, such as sensors, novel software personalization social media, disorder; (4) provide overview smartphone (5) key characteristics empirical assessments rigorous designs (ie, randomized controlled trials [RCTs]). Methods The Preferred Reporting Items Systematic Reviews Meta-Analyses guidelines reviews were followed. We performed searches Scopus, Web Science, American Psychological Association PsycNET, Medical Literature Analysis Retrieval System Online, covering period 6 years (2013-2018). included papers that described deliver known disorders. formed multidisciplinary teams, comprising experts psychology computer science, select classify based features. Results found 158 met inclusion criteria. observed increasing interest smartphone-based over time. Most targeted high prevalence, is, depressive (31/158,19.6%) anxiety (18/158, 11.4%). Of total, 72.7% (115/158) focused six disorders: depression, anxiety, trauma stressor-related, substance-related addiction, schizophrenia spectrum, other psychotic disorders, or combination More than half not very scarcely (<3%) represented. An number studies dedicated assessing clinical effects, but RCTs still minority (25/158, 15.8%). From viewpoint, leveraging improved modalities (screen sound) interactivity only sparingly leveraged their truly capabilities, alternative delivery paradigms, analytical methods. Conclusions There designing full breadth rather primarily focusing most prevalent further contend focus, involving RCTs, needed improve robustness trustworthiness assessments. Regarding aspects, we argue exploration innovative capabilities fully realize potential treatment health

Language: Английский

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Using Machine Learning and Thematic Analysis Methods to Evaluate Mental Health Apps Based on User Reviews

IEEE Access, Journal Year: 2020, Volume and Issue: 8, P. 111141 - 111158

Published: Jan. 1, 2020

The proliferation of smartphones has led to an increase in mobile health (mHealth) apps over the years. Thus, it is imperative evaluate these by identifying shortcomings or barriers hampering effective delivery intended services. In this paper, we 104 mental on Google Play and App Store performing sentiment analysis 88125 user reviews using machine learning (ML), then conducting thematic reviews. We implement compare performance five classifiers supervised ML algorithms that are widely used for solving classification problems. best classifier, with F1-score 89.42%, was predicting polarity Next, conduct a positive negative identify themes representing various factors affecting effectiveness positively negatively. Our results uncover 21 29 themes. fall under following categories: usability issues, content ethical customer support billing issues. Some include aesthetically pleasing interface, app stability, customizability, high-quality content, variation/diversity, personalized privacy security, low-subscription cost. Finally, offer design recommendations how identified can be tackled improve apps.

Language: Английский

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Smartphones in mental health: a critical review of background issues, current status and future concerns

International Journal of Bipolar Disorders, Journal Year: 2020, Volume and Issue: 8(1)

Published: Jan. 10, 2020

Abstract There has been increasing interest in the use of smartphone applications (apps) and other consumer technology mental health care for a number years. However, vision data from apps seamlessly returned to, integrated in, electronic medical record (EMR) to assist both psychiatrists patients not widely achieved, due part complex issues involved psychiatry. These include usage, clinical utility, commercialization, evolving technology. Technological, legal commercial issues, as well will determine role Recommendations more productive direction psychiatry are provided.

Language: Английский

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The Engagement Problem: a Review of Engagement with Digital Mental Health Interventions and Recommendations for a Path Forward

Current Treatment Options in Psychiatry, Journal Year: 2023, Volume and Issue: 10(3), P. 119 - 135

Published: Aug. 25, 2023

Digital mental health interventions (DMHIs) are an effective and accessible means of addressing the unprecedented levels illness worldwide. Currently, however, patient engagement with DMHIs in real-world settings is often insufficient to see clinical benefit. In order realize potential DMHIs, there a need better understand what drives engagement.

Language: Английский

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The role of mobile health applications in improving patient engagement and health outcomes: A critical review

International Journal of Science and Research Archive, Journal Year: 2024, Volume and Issue: 11(1), P. 2566 - 2574

Published: Feb. 28, 2024

Mobile health applications (apps) have revolutionized healthcare delivery by enhancing patient engagement and improving outcomes. This critical review examines the role of mobile apps in The discusses benefits empowering patients to manage their health, facilitating communication between providers, promoting healthy behaviors. transformed way engage with providing them convenient access information resources. These enable track metrics, such as physical activity, diet, medication adherence, allowing for better self-management chronic conditions. By take control can lead improved outcomes reduced costs. Furthermore, facilitate enabling remote monitoring virtual consultations. more timely interventions coordination care, ultimately also promote behaviors personalized recommendations reminders preventive care activities. Despite potential benefits, face challenges, ensuring data privacy security, addressing disparities technology. Future research should focus on evaluating effectiveness outcomes, developing strategies overcome these challenges. In conclusion, significantly improve behaviors, are transforming care.

Language: Английский

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Scaling evidence-based treatments through digital mental health.

American Psychologist, Journal Year: 2020, Volume and Issue: 75(8), P. 1093 - 1104

Published: Nov. 1, 2020

A large number of Internet websites, mobile apps, wearable devices, and video games that are hoped to improve behavioral, cognitive, affective targets associated with mental health have been developed. Although technology provides the promising potential help spread evidence-based treatments, is still largely unrealized. The vast majority technology-based products, deemed digital interventions (DMHIs), not tested show little fidelity treatments. Furthermore, best practices around use technologies in clinical services underdeveloped few clinicians trained integrate these tools their practice. We present an overview DMHIs discuss key aspects related implementation. organize according Consolidating Framework for Implementation Research, a framework identifies constructs effective These categorized into 5 domains including characteristics DMHIs, individuals involved, processes, inner setting, outer setting. Our goal highlight areas consideration leveraging support implementation treatments emphasize challenges opportunities come from using scale (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Language: Английский

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Smartphone apps for the treatment of mental health conditions: status and considerations

Current Opinion in Psychology, Journal Year: 2020, Volume and Issue: 36, P. 65 - 70

Published: May 4, 2020

Clinical and research interest in the potential of mobile health apps for management mental conditions has recently been given added impetus by growing evidence consumer adoption. In parallel, there is now a developing base that includes meta-analyses demonstrating reductions symptoms depression anxiety, reduction suicidal ideation. While these findings are encouraging, recent continues to identify number barriers widespread adoption apps. These challenges include poor data governance sharing practices; questions clinical safety relating adverse events potentially harmful content; low levels user engagement possibility ‘digital placebo’ effects; workforce integration with practice. Current efforts address development new models care, such as clinics’ integrate Other contemporary innovations field digital sensing just-in-time adaptive interventions showing early promise providing accessible personalised care.

Language: Английский

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The digital clinic: Implementing technology and augmenting care for mental health

General Hospital Psychiatry, Journal Year: 2020, Volume and Issue: 66, P. 59 - 66

Published: June 30, 2020

Language: Английский

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Implementation of Cognitive Behavioral Therapy in e–Mental Health Apps: Literature Review

Journal of Medical Internet Research, Journal Year: 2021, Volume and Issue: 24(3), P. e27791 - e27791

Published: Dec. 28, 2021

Background To address the matter of limited resources for treating individuals with mental disorders, e–mental health has gained interest in recent years. More specifically, mobile (mHealth) apps have been suggested as electronic interventions accompanied by cognitive behavioral therapy (CBT). Objective This study aims to identify therapeutic aspects CBT that implemented existing mHealth and technologies used. From these, we aim derive research gaps should be addressed future. Methods Three databases were screened studies on context disorders implement techniques CBT: PubMed, IEEE Xplore, ACM Digital Library. The independently selected 2 reviewers, who then extracted data from included studies. Data their technical implementation synthesized narratively. Results Of 530 retrieved citations, 34 (6.4%) this review. exploit two groups technologies: restructuring, activation, problem solving (exposure is not yet realized apps) increase user experience, adherence, engagement. synergy these enables patients self-manage self-monitor state access relevant information illness, which helps them cope problems allows self-treatment. Conclusions There are can apps. Additional needed efficacy side effects, including inequalities because digital divide, addictive internet behavior, lack trust mHealth, anonymity issues, risks biases social contexts, ethical implications. Further also required integrate test psychological theories improve impact adherence interventions.

Language: Английский

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