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Article ; Online: Early Warning Signs of a Mental Health Tsunami: A Coordinated Response to Gather Initial Data Insights From Multiple Digital Services Providers.

Inkster, Becky

Frontiers in digital health

2021 Volume 2, Page(s) 578902

Abstract: Introduction: ...

Abstract	Introduction:
Language	English
Publishing date	2021-02-10
Publishing country	Switzerland
Document type	Journal Article
ISSN	2673-253X
ISSN (online)	2673-253X
DOI	10.3389/fdgth.2020.578902
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Proceedings from the Digital Innovation in Mental Health Conference, London, 2017.

Inkster, Becky

Biomedical informatics insights

2018 Volume 10, Page(s) 1178222618764732

Abstract: Aims and Scope: ...

Abstract	Aims and Scope:
Language	English
Publishing date	2018-03-28
Publishing country	United States
Document type	Editorial
ISSN	1178-2226
ISSN	1178-2226
DOI	10.1177/1178222618764732
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A public health perspective on hip-hop's response to the COVID-19 pandemic: Experiences of illness, spread of misinformation, and mobilization of resources.

Sule, Akeem / Inkster, Becky

Public health in practice (Oxford, England)

2021 Volume 2, Page(s) 100078

Language	English
Publishing date	2021-01-13
Publishing country	England
Document type	Journal Article
ISSN	2666-5352
ISSN (online)	2666-5352
DOI	10.1016/j.puhip.2021.100078
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Cybersecurity: a critical priority for digital mental health.

Inkster, Becky / Knibbs, Catherine / Bada, Maria

Frontiers in digital health

2023 Volume 5, Page(s) 1242264

Abstract: There has been a surge in the supply and demand of digital mental health support services in recent times. There have also been high profile cyberattacks specifically targeting mental health and behavioral services, along with a shift toward targeting ... ...

Abstract	There has been a surge in the supply and demand of digital mental health support services in recent times. There have also been high profile cyberattacks specifically targeting mental health and behavioral services, along with a shift toward targeting vulnerable people directly. Cyberattacks involving personal health data, especially sensitive mental health data, could have devastating consequences to vulnerable people, those close to them, and many other stakeholders. This article calls for the immediate examination of the current state of cybersecurity in the digital mental healthcare industry to collectively identify risks and to protect user and provider vulnerabilities. This article points to the need to build a global cybersecurity culture within digital mental health while also working closely with other industries. The article concludes by making some preliminary recommendations to help support the creation of standards that will enhance the collective preparedness for future responses to cybersecurity threats and attacks.
Language	English
Publishing date	2023-09-14
Publishing country	Switzerland
Document type	Journal Article
ISSN	2673-253X
ISSN (online)	2673-253X
DOI	10.3389/fdgth.2023.1242264
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Understanding the impact of an AI-enabled conversational agent mobile app on users' mental health and wellbeing with a self-reported maternal event: a mixed method real-world data mHealth study.

Inkster, Becky / Kadaba, Madhura / Subramanian, Vinod

Frontiers in global women's health

2023 Volume 4, Page(s) 1084302

Abstract: Background: Maternal mental health care is variable and with limited accessibility. Artificial intelligence (AI) conversational agents (CAs) could potentially play an important role in supporting maternal mental health and wellbeing. Our study examined ... ...

Abstract	Background: Maternal mental health care is variable and with limited accessibility. Artificial intelligence (AI) conversational agents (CAs) could potentially play an important role in supporting maternal mental health and wellbeing. Our study examined data from real-world users who self-reported a maternal event while engaging with a digital mental health and wellbeing AI-enabled CA app (Wysa) for emotional support. The study evaluated app effectiveness by comparing changes in self-reported depressive symptoms between a higher engaged group of users and a lower engaged group of users and derived qualitative insights into the behaviors exhibited among higher engaged maternal event users based on their conversations with the AI CA. Methods: Real-world anonymised data from users who reported going through a maternal event during their conversation with the app was analyzed. For the first objective, users who completed two PHQ-9 self-reported assessments ( Results: Results revealed a significant reduction in self-reported depressive symptoms among the higher engaged user group compared to lower engaged user group (M-W Conclusion: These findings provide preliminary evidence of the effectiveness and engagement and comfort of using this AI-based emotionally intelligent mobile app to support mental health and wellbeing across a range of maternal events and experiences.
Language	English
Publishing date	2023-06-02
Publishing country	Switzerland
Document type	Journal Article
ISSN	2673-5059
ISSN (online)	2673-5059
DOI	10.3389/fgwh.2023.1084302
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A public health perspective on hip-hop’s response to the COVID-19 pandemic

Akeem Sule / Becky Inkster

Public Health in Practice, Vol 2, Iss , Pp 100078- (2021)

Experiences of illness, spread of misinformation, and mobilization of resources

2021

Keywords	Hip-hop ; COVID-19 ; Public health ; Community ; Misinformation ; Resources ; Public aspects of medicine ; RA1-1270
Language	English
Publishing date	2021-11-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Correction: Opportunities and Challenges for Digital Social Prescribing in Mental Health: Questionnaire Study.

Patel, Shivani / Craigen, Gerry / Pinto da Costa, Mariana / Inkster, Becky

Journal of medical Internet research

2021 Volume 23, Issue 3, Page(s) e29041

Abstract: This corrects the article DOI: .]. ...

Abstract	[This corrects the article DOI: .].
Language	English
Publishing date	2021-03-29
Publishing country	Canada
Document type	Journal Article ; Published Erratum
ZDB-ID	2028830-X
ISSN	1438-8871 ; 1439-4456
ISSN (online)	1438-8871
ISSN	1439-4456
DOI	10.2196/29041
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Improving insights into health care with data linkage to financial technology.

Inkster, Becky / Loo, Peggy / Mateen, Bilal / Stevenson, Andrea

The Lancet. Digital health

2019 Volume 1, Issue 3, Page(s) e110–e112

MeSH term(s)	Financial Management ; Health Personnel ; Humans ; Information Storage and Retrieval ; Privacy ; Research Personnel
Language	English
Publishing date	2019-06-27
Publishing country	England
Document type	Journal Article
ISSN	2589-7500
ISSN (online)	2589-7500
DOI	10.1016/S2589-7500(19)30061-5
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Opportunities and Challenges for Digital Social Prescribing in Mental Health: Questionnaire Study.

Patel, Shivani / Craigen, Gerry / Pinto da Costa, Mariana / Inkster, Becky

Journal of medical Internet research

2021 Volume 23, Issue 3, Page(s) e17438

Abstract: Background: The concept of digital social prescription usually refers to social prescriptions that are facilitated by using technology. Tools that enable such digital social prescriptions may be beneficial in recommending nonmedical activities to people ...

Abstract	Background: The concept of digital social prescription usually refers to social prescriptions that are facilitated by using technology. Tools that enable such digital social prescriptions may be beneficial in recommending nonmedical activities to people with mental illness. As these tools are still somewhat novel and emerging, little is known about their potential advantages and disadvantages. Objective: The objective of this study is to identify the potential opportunities and challenges that may arise from digital social prescriptions. Methods: We developed a qualitative questionnaire that was disseminated through social media (Facebook and Twitter). A purposive sample targeting digital mental health experts and nonexperts was approached. The questionnaire asked participants' views about digital social prescription; the core elements linked with a definition of digital social prescription; and the strengths, weaknesses, opportunities, and threats associated with digital social prescription. Results: Four core elements were recommended to define the concept of digital social prescription: digital, facilitate, user, and social. The main strength identified was the possibility to rapidly start using digital social prescription tools, which were perceived as cost-effective. The main weaknesses were their poor adherence and difficulties with using such tools. The main opportunities were an increased access to social prescription services and the prevention of serious mental illness. The main threats were certain groups being disadvantaged, patients being subject to unintended negative consequences, and issues relating to confidentiality and data protection. Conclusions: Although digital social prescriptions may be able to effectively augment the social prescriptions, a careful consideration of practical challenges and data ethics is imperative in the design and implementation of such technologies.
MeSH term(s)	Humans ; Mental Disorders/drug therapy ; Mental Health ; Social Media ; Surveys and Questionnaires ; Vulnerable Populations
Language	English
Publishing date	2021-03-09
Publishing country	Canada
Document type	Journal Article
ZDB-ID	2028830-X
ISSN	1438-8871 ; 1439-4456
ISSN (online)	1438-8871
ISSN	1439-4456
DOI	10.2196/17438
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Artificial intelligence and machine learning in mobile apps for mental health: A scoping review.

Milne-Ives, Madison / Selby, Emma / Inkster, Becky / Lam, Ching / Meinert, Edward

PLOS digital health

2022 Volume 1, Issue 8, Page(s) e0000079

Abstract: Mental health conditions can have significant negative impacts on wellbeing and healthcare systems. Despite their high prevalence worldwide, there is still insufficient recognition and accessible treatments. Many mobile apps are available to the general ... ...

Abstract	Mental health conditions can have significant negative impacts on wellbeing and healthcare systems. Despite their high prevalence worldwide, there is still insufficient recognition and accessible treatments. Many mobile apps are available to the general population that aim to support mental health needs; however, there is limited evidence of their effectiveness. Mobile apps for mental health are beginning to incorporate artificial intelligence and there is a need for an overview of the state of the literature on these apps. The purpose of this scoping review is to provide an overview of the current research landscape and knowledge gaps regarding the use of artificial intelligence in mobile health apps for mental health. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) and Population, Intervention, Comparator, Outcome, and Study types (PICOS) frameworks were used to structure the review and the search. PubMed was systematically searched for randomised controlled trials and cohort studies published in English since 2014 that evaluate artificial intelligence- or machine learning-enabled mobile apps for mental health support. Two reviewers collaboratively screened references (MMI and EM), selected studies for inclusion based on the eligibility criteria and extracted the data (MMI and CL), which were synthesised in a descriptive analysis. 1,022 studies were identified in the initial search and 4 were included in the final review. The mobile apps investigated incorporated different artificial intelligence and machine learning techniques for a variety of purposes (risk prediction, classification, and personalisation) and aimed to address a wide range of mental health needs (depression, stress, and suicide risk). The studies' characteristics also varied in terms of methods, sample size, and study duration. Overall, the studies demonstrated the feasibility of using artificial intelligence to support mental health apps, but the early stages of the research and weaknesses in the study designs highlight the need for more research into artificial intelligence- and machine learning-enabled mental health apps and stronger evidence of their effectiveness. This research is essential and urgent, considering the easy availability of these apps to a large population.
Language	English
Publishing date	2022-08-15
Publishing country	United States
Document type	Journal Article
ISSN	2767-3170
ISSN (online)	2767-3170
DOI	10.1371/journal.pdig.0000079
Database	MEDical Literature Analysis and Retrieval System OnLINE

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