Mark Larsen

ORCID: 0000-0002-0272-2053
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About
Contact & Profiles
Research Areas
  • Digital Mental Health Interventions
  • Suicide and Self-Harm Studies
  • Mental Health via Writing
  • Mental Health Research Topics
  • Mobile Health and mHealth Applications
  • Impact of Technology on Adolescents
  • Mental Health Treatment and Access
  • Child Development and Digital Technology
  • Child and Adolescent Psychosocial and Emotional Development
  • Data-Driven Disease Surveillance
  • Sentiment Analysis and Opinion Mining
  • Social Media in Health Education
  • Telemedicine and Telehealth Implementation
  • Human Mobility and Location-Based Analysis
  • Health Literacy and Information Accessibility
  • Gun Ownership and Violence Research
  • Health disparities and outcomes
  • Anomaly Detection Techniques and Applications
  • Cardiac Arrest and Resuscitation
  • Sleep and related disorders
  • Medication Adherence and Compliance
  • Human Pose and Action Recognition
  • Sleep and Wakefulness Research
  • Diabetes Management and Research
  • Complex Network Analysis Techniques

UNSW Sydney
2016-2025

Health Data Research UK
2025

Black Dog Institute
2015-2024

Deakin University
2022

The Kids Research Institute Australia
2022

The University of Western Australia
2022

The University of Sydney
2022

Sax Institute
2019

Prince of Wales Hospital
2018

Imperial College London
2015

Abstract Despite the emergence of curated app libraries for mental health apps, personal searches by consumers remain a common method discovering apps. App store descriptions therefore represent key channel to inform consumer choice. This study examined claims invoked through these descriptions, extent which scientific language is used support such claims, and corresponding evidence in literature. Google Play iTunes were searched apps related depression, self-harm, substance use, anxiety,...

10.1038/s41746-019-0093-1 article EN cc-by npj Digital Medicine 2019-03-22

<h3>Importance</h3> Inadequate privacy disclosures have repeatedly been identified by cross-sectional surveys of health applications (apps), including apps for mental and behavior change. However, few studies assessed directly the correspondence between how handle personal data. Understanding scope this discrepancy is particularly important in health, given enhanced concerns relating to stigma negative impacts inadvertent disclosure. Because most fall outside government regulation,...

10.1001/jamanetworkopen.2019.2542 article EN cc-by-nc-nd JAMA Network Open 2019-04-19

For many mental health conditions, mobile apps offer the ability to deliver information, support, and intervention outside clinical setting. However, there are difficulties with use of a commercial app store distribute care resources, including turnover apps, irrelevance discordance evidence-based practice.The primary aim this study was quantify longevity rate within official Android iOS stores. The secondary proportion that were clinically relevant assess whether these differed from...

10.2196/mhealth.6020 article EN cc-by JMIR mhealth and uhealth 2016-08-09

Timely and accurate data are critical for effective suicide prevention. Indonesia—the fourth most populous country in the world—has limited availability thus, data-driven interventions. Through a national government partnership, we obtained non-public attempts suicides that could be analysed first time Indonesia's history. We from five sources 2016 to 2021: police data, death registry provincial survey, sample system, WHO's Global Health Observatory (WHO GHO) data. Using these estimated...

10.1016/j.lansea.2024.100368 article EN cc-by-nc-nd The Lancet Regional Health - Southeast Asia 2024-02-26

Suicide is a leading cause of death worldwide. Identifying those at risk and delivering timely interventions challenging. Social media site Twitter used to express suicidality. Automated linguistic analysis suicide-related posts may help differentiate who require support or intervention from do not.This study aims characterize the profiles posts.Using dataset previously coded for suicide by experts, Linguistic Inquiry Word Count (LIWC) regression analyses were conducted determine differences...

10.1027/0227-5910/a000443 article EN Crisis 2017-02-23

Research data on predisposition to mental health problems, and the fluctuations regulation of emotions, thoughts, behaviors are traditionally collected through surveys, which cannot provide a real-time insight into emotional state individuals or communities. Large datasets such as World Health Organization (WHO) statistics less than once per year, whereas social network platforms, Twitter, offer opportunity for analysis expressed mood. Such patterns valuable research community, help...

10.1109/jbhi.2015.2403839 article EN IEEE Journal of Biomedical and Health Informatics 2015-02-13

Clinical assessment in psychiatry is commonly based on findings from brief, regularly scheduled in-person appointments. Although critically important, this approach reduces to cross-sectional observations that miss essential information about disease course. The mental health provider makes all medical decisions limited information. Thanks recent technological advances such as mobile phones and other personal devices, electronic (eHealth) data collection strategies now can provide access...

10.2196/jmir.7412 article EN cc-by Journal of Medical Internet Research 2018-01-03

With over 10,000 mental health- and psychiatry-related smartphone apps available today expanding, there is a need for reliable valid evaluation of these digital tools. However, the updating nonstatic nature apps, expanding privacy concerns, varying degrees usability, evolving interoperability standards, among other factors, present serious challenges app evaluation. In this article, we provide narrative review various schemes toward evaluations, including commercial store metrics, government...

10.1097/nmd.0000000000000864 article EN The Journal of Nervous and Mental Disease 2018-07-19

Clinical governance of medical mobile apps is challenging, and there currently no standard method for assessing the quality such apps. In 2018, National Institute Health Care Excellence (NICE) developed a framework required level evidence digital health technologies (DHTs), as determined by their clinical function. The can potentially be used to assess apps, which are subset DHTs. To reliably in this context, must allow unambiguous classification an app's function.The objective study was...

10.2196/17457 article EN cc-by Journal of Medical Internet Research 2020-02-29

<title>Abstract</title> <bold>Background</bold> According to the recent WHO Global Health Estimates, globe is not on track meet UN Sustainable Development Goal 3.4.2 of reduction suicide, with suicide monitoring being a key issue. Past research has found an association between Google searches for suicide-related keywords and rates, offering potential tool rapid population rates – although findings call this relationship into question. However, attempts or self-harm been investigated. Across...

10.21203/rs.3.rs-6137446/v1 preprint EN cc-by Research Square (Research Square) 2025-03-07

Background Psychological prevention programmes delivered in schools may reduce symptoms of depression. However, high-quality, large-scale trials are lacking. Objective The aim was to examine whether a digital cognitive–behavioural programme (‘SPARX’), at scale schools, would depressive 12 months later. Methods A cluster randomised controlled trial with parallel arms (intervention; control) conducted Australian between August 2019 and December 2022. Cluster randomisation occurred the school...

10.1136/bmjment-2024-301426 article EN cc-by-nc BMJ Mental Health 2025-03-01
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