A5083476756- Behavioral Health and Interventions
- Digital Mental Health Interventions
- Mobile Health and mHealth Applications
- Smoking Behavior and Cessation
- COVID-19 and Mental Health
- Mental Health Research Topics
- COVID-19 and healthcare impacts
- COVID-19 Clinical Research Studies
- Impact of Technology on Adolescents
- COVID-19 Pandemic Impacts
- Media Influence and Health
- Infection Control and Ventilation
- Health Policy Implementation Science
- Eating Disorders and Behaviors
- COVID-19 epidemiological studies
- Substance Abuse Treatment and Outcomes
- Technology Adoption and User Behaviour
- Health Literacy and Information Accessibility
- Obesity, Physical Activity, Diet
- Air Quality and Health Impacts
- Innovative Human-Technology Interaction
- Personality Traits and Psychology
- Long-Term Effects of COVID-19
- Telemedicine and Telehealth Implementation
- Mental Health via Writing
University College London
2016-2025
Tampere University
2023-2025
Human Longevity (United States)
2023-2025
University of California, San Diego
2023-2025
University of California System
2025
University of San Diego
2024
Spectrum Brands (United Kingdom)
2020-2023
University of London
2020-2021
Universidad de Londres
2020-2021
Weatherford College
2020
Research and development for interactive digital health interventions requires multi-disciplinary expertise in identifying user needs, developing evaluating each intervention. Two of the central areas required are Health (broadly defined) Human-Computer Interaction. Although these share some research methods values, they traditionally have deep differences that can catch people unawares, make interdisciplinary collaborations challenging, resulting sub-optimal project outcomes. The most...
Public health organisations such as the National Health Service in United Kingdom and Institutes of States provide access to online libraries publicly endorsed smartphone applications (apps); however, there is little evidence that users rely on this guidance. Rather, one most common methods finding new apps search an store. As hundreds smoking cessation alcohol-related are currently available market, smokers drinkers must actively choose which app download prior engaging with it. The...
Objective The objective of this study was to assess whether a version the Smoke Free app with supportive chatbot powered by artificial intelligence (versus without chatbot) led increased engagement and short-term quit success. Methods Daily or non-daily smokers aged ≥18 years who purchased ‘pro’ set date were randomly assigned (unequal allocation) receive chatbot. outcomes (i.e. total number logins over period) self-reported abstinence at one-month follow-up. Unadjusted adjusted negative...
Abstract Aims To estimate (1) associations between self‐reported COVID‐19, hand‐washing, smoking status, e‐cigarette use and nicotine replacement therapy (NRT) (2) the extent to which COVID‐19 has prompted vaping quit attempts more inside home. Design Cross‐sectional household surveys. Setting participants A representative sample of population in England from April May 2020. The included 3179 adults aged ≥ 18 years. Measurements Participants who reported that they definitely or thought had...
Little is known about how individuals engage over time with smartphone app interventions and whether this engagement predicts health outcomes.
Engagement with digital behavior change interventions (DBCIs) is a potentially important mediator of effectiveness; however, we lack validated measures engagement. This study describes (a) the development self-report scale that captures purported behavioral and experiential facets engagement (b) evaluation its validity in real-world setting. A deductive approach to item generation was taken. The sample consisted adults UK who drink excessively, downloaded freely available Drink Less app...
Background Digital health devices, such as and well-being smartphone apps, could offer an accessible cost-effective way to deliver interventions. A key component of the effectiveness apps is user engagement. However, engagement with typically poor. Previous studies have identified a list factors that influence engagement; however, most these were conducted on particular population or for app targeting behavior. An understanding wide range can inform design development more engaging in...
Digital therapeutics (DTx) are a promising way to provide safe, effective, accessible, sustainable, scalable, and equitable approaches advance individual population health. However, developing deploying DTx is inherently complex in that includes multiple interacting components, such as tools support activities like medication adherence, health behavior goal-setting or self-monitoring, algorithms adapt the provision of these according needs may change over time. While myriad frameworks exist...
Although smartphone apps might support physical activity (PA), engagement with them tends to be low.This study aimed examine potential users' needs and preferences regarding their PA during a first exposure never-used app after 2 weeks' usage.A longitudinal, one-arm qualitative was conducted users. At baseline, participants (N=20) were asked explore 1 of 3 randomly allocated while thinking aloud. Semistructured interview techniques allowed elaborate on statements. After weeks, follow-up...
Smoking prevalence in several high-income countries is steadily declining but remains persistently high 'lower' socioeconomic position (SEP) groups, contributing to inequities morbidity and mortality. relieve stress a commonly endorsed motive for continued smoking; however, it unclear whether smoking has negative impact on motivation stop future quit attempts if so, associations are moderated by SEP. This was an observational study with cross-sectional prospective survey data from the...
In 2019, The Shift Project1The ProjectLean ICT: towards digital sobriety—report of the working group directed by Hugues Ferreboeuf for Think Tank Project.https://theshiftproject.org/wp-content/uploads/2019/03/Lean-ICT-Report_The-Shift-Project_2019.pdfDate: March, 2019Date accessed: May 1, 2020Google Scholar published a report to increase awareness environmental effects information and communication technologies (ICTs), particularly smartphone production use, multiplication connected Internet...
Background Health and well-being smartphone apps can provide a cost-effective solution to addressing unhealthy behaviors. The selection of these tends occur in commercial app stores, where thousands health are available. Their uptake is often influenced by popularity indicators. However, indicators not necessarily associated with effectiveness or evidence-based content. Alternative routes increasingly available, such as via curated portals, but little known about people’s experiences them....
Drink Less is a behavior change app to help higher-risk drinkers in the United Kingdom reduce their alcohol consumption. The includes daily notification asking users "Please complete your drinks and mood diary," yet we did not understand causal effect of on engagement nor how improve this component Less. We developed new bank 30 messages increase users' reflective motivation engage with This study aimed determine standard notifications affect engagement.
Background: Digital interventions for alcohol can help achieve reductions in hazardous and harmful consumption. The Drink Less app was developed using evidence theory, a factorial randomized controlled trial (RCT) suggested that 4 of its intervention modules may assist with drinking reduction. However, low engagement is an important barrier to effectiveness, response follow up challenge evaluation. Research needed understand what factors influence users' level engagement, up, extent...
Behavior change apps can develop iteratively, where the app evolves into a complex, dynamic, or personalized intervention through cycles of research, development, and implementation. Understanding how existing users engage with an (eg, frequency, amount, depth, duration use) help guide further incremental improvements. We aim to explore simple visualizations provide good understanding temporal patterns engagement, as usage data are often longitudinal rich.This study aims visualize behavioral...