A randomized controlled trial of three smartphone apps for enhancing public mental health

Bakker, David; Kazantzis, Nikolaos; Rickwood, Debra; Rickard, Nikki

doi:10.1016/j.brat.2018.08.003

Cited by 138 publications

(156 citation statements)

References 50 publications

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“…A dialogue of a chatbot can be modelled with available metadata to adjust to features of the replier in terms of gender, age, and mood 90 . In the context of mental health, medical chatbots include Woebot, which proved to relieve feelings of anxiety and depression 91 , and Moodkit, which recommends chatting and journaling activities through text and voice notes 92 . Although both proved to be effective in clinical trials, the lack of data on their long-term effects is raising certain concerns.…”

Section: Natural Language Processingmentioning

confidence: 99%

Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare

et al. 2020

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Precision Medicine implies a deep understanding of inter-individual differences in health and disease that are due to genetic and environmental factors. To acquire such understanding there is a need for the implementation of different types of technologies based on artificial intelligence (AI) that enable the identification of biomedically relevant patterns, facilitating progress towards individually tailored preventative and therapeutic interventions. Despite the significant scientific advances achieved so far, most of the currently used biomedical AI technologies do not account for bias detection. Furthermore, the design of the majority of algorithms ignore the sex and gender dimension and its contribution to health and disease differences among individuals. Failure in accounting for these differences will generate sub-optimal results and produce mistakes as well as discriminatory outcomes. In this review we examine the current sex and gender gaps in a subset of biomedical technologies used in relation to Precision Medicine. In addition, we provide recommendations to optimize their utilization to improve the global health and disease landscape and decrease inequalities.

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Section: Natural Language Processingmentioning

confidence: 99%

Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare

et al. 2020

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“…For example, ‘five steps to mental well‐being’ (NHS Choices, ) is a resource focused on five well‐being areas for people to use in their everyday life: connect with others; be active; keep learning; give to others; and be mindful (Taylor, Leslie, & Boddie, ). Furthermore, a recent randomized controlled trial (RCT) of three publicly available apps in a community sample, (1) MoodKit (CBT toolkit app), (2) MoodPrism (mood tracking app), and (3) MoodMission (CBT strategy app), reported increases in mental well‐being after engagement with all apps compared with a wait‐list control condition (Bakker, Kazantzis, Rickwood, & Rickard, ). Additionally, the NHS has relaunched a ‘beta’ website (https://www.nhs.uk/apps-library/), which lists several smartphone apps aiming to improve well‐being that have been assessed as meeting NHS standards for safety, accessibility, and usability.…”

Section: The Boom In Self‐monitoring Self‐management and Digital Hementioning

confidence: 99%

The digital revolution and its impact on mental health care

2019

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The digital revolution is evolving at an unstoppable pace. Alongside the unprecedented explosion of digital technology facilities and systems, mental health care is under greater pressure than ever before. With its emphasis on big data, computing power, mobile technology, and network information, digital technology is set to transform health care delivery. This article reviews the field of digital health technology assessment and intervention primarily in secondary service mental health care, including the barriers and facilitators to adopting and implementing digitally mediated interventions in service delivery. We consider the impact of digitally mediated communication on human interaction and its potential impact on various mental states such as those linked to mood, anxiety but also well-being. These developments point to a need for both theory-and data-driven approaches to digital health care. We argue that, as developments in digital technology are outpacing the evaluation of rigorous digital health interventions, more advanced methodologies are needed to keep up with the pace of digital technology development. The need for co-production of digital tools with and for people with chronic and mental health difficulties, and implications of digital technology for psychotherapy practice, will be central to this development.

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“…This mirrors findings from a recent RCT of three smartphone apps which found improvements in metrics of individuals’ coping self‐efficacy (Bakker et al . ).…”

Section: Discussionmentioning

confidence: 97%

Experiences and implications of smartphone apps for depression and anxiety

Crosby

Bonnington

2020

Sociology Health & Illness

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Apps on smartphones are increasingly used for self-care for depression and anxiety, yet how and why they are accessed, and their social effects, remain underinvestigated. Sociologists have begun to theorise how these technologies affect and relate; crucial questions for a contemporary sociology of health. This study seeks to contribute to our conceptualisation of how digital health technologies are implicated in health by investigating the motivations, experiences and relations of people using mobile apps for depression or anxiety. We interviewed 14 individuals living in England with a diagnosis of depression or an anxiety disorder, who used smartphone apps as part of self-care. Analysis followed a thematic approach. Three themes were identified. Apps exist within relational contextsalongside smartphones, beliefs about mental health and other supportwhich shape app use and lead to an imprecise, casual approach. People engage with apps in a straightforward and uncomplicated manner, leading to immediate symptomatic alleviation, but to limited longer term benefit. The contradiction between the apps' promise as tools of individual empowerment, with their ability to promote responsibilising frameworks that restrain users' reflexivity, is central to their implications. Apps can thus contribute to isolation from interpersonal support and promote reductionist biomedical conceptualisations of mental ill health.Note 1 Forthwith 'apps' refers to applications on smartphones that people consider be used for depression and/or anxiety.

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A randomized controlled trial of three smartphone apps for enhancing public mental health

Cited by 138 publications

References 50 publications

Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare

Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare

The digital revolution and its impact on mental health care

Experiences and implications of smartphone apps for depression and anxiety

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