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Healthcare (Basel, Switzerland)|December 22, 2019
Identifying Veterans Using Electronic Health Records in the United Kingdom: A Feasibility StudyKatharine M Mark, Daniel Leightley, David Pernet, et al.
Substance Abuse|June 7, 2022
Smartphone-based alcohol interventions: A systematic review on the role of notifications in changing behaviors toward alcoholCharlotte Williamson, Katie White, Roberto J Rona, et al.
JMIR Research Protocols|December 19, 2023
Digital Therapeutic Intervention for Women in the UK Armed Forces Who Consume Alcohol at a Hazardous or Harmful Level: Protocol for a Randomized Controlled TrialGrace Williamson, Ewan Carr, Nicola T Fear, et al.
PLOS Digital Health|April 10, 2026
Reducing alcohol consumption in UK armed forces veterans: Feasibility of using personalized push notifications with AIDaniel Leightley, Charlotte Williamson, Iain J Marshall, et al.
Healthcare (Basel, Switzerland)|February 25, 2023
Identifying Military Service Status in Electronic Healthcare Records from Psychiatric Secondary Healthcare Services: A Validation Exercise Using the Military Service Identification ToolDaniel Leightley, Laura Palmer, Charlotte Williamson, et al.
JMIR Research Protocols|October 2, 2020
Evaluating the Efficacy of a Mobile App (Drinks:Ration) and Personalized Text and Push Messaging to Reduce Alcohol Consumption in a Veteran Population: Protocol for a Randomized Controlled TrialDaniel Leightley, Roberto J Rona, James Shearer, et al.
BMJ Military Health|December 1, 2022
Personalised digital technology for mental health in the armed forces: the potential, the hype and the dangersDaniel Leightley, D Murphy
Social Psychiatry and Psychiatric Epidemiology|December 22, 2022
Military veterans and civilians' mental health diagnoses: an analysis of secondary mental health servicesCharlotte Williamson, Laura Palmer, Daniel Leightley, et al.
PLOS Digital Health|January 6, 2026
Digital health interventions for women in frontline public service roles: A systematic review of effectiveness in reducing substance useGrace Williamson, Toslima Khatun, Kate King, et al.
JMIR Medical Informatics|April 30, 2020
The Development of the Military Service Identification Tool: Identifying Military Veterans in a Clinical Research Database Using Natural Language Processing and Machine LearningDaniel Leightley, David Pernet, Sumithra Velupillai, et al.
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