Evidence map›Paper›PMID 41493956›Full record

ArticlePLOS digital health2026

Digital health interventions for women in frontline public service roles: A systematic review of effectiveness in reducing substance use.

Grace Williamson, Toslima Khatun, Kate King, Amos Simms, Simon Dymond, Laura Goodwin, Ewan Carr, Nicola T Fear, Dominic Murphy, Daniel Leightley

Abstract read
In one paragraph

Article in PLOS digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Grace WilliamsonSchool of Population Health Sciences, King's College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-4618-5819
Toslima KhatunSchool of Global Studies, King's College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-1514-8924
Kate KingKing's Centre for Military Health Research, Department of Psychological Medicine, King's College London, London, United Kingdom.
Amos SimmsAcademic Department of Military Mental Health, King's College London, London, United Kingdom.
Simon DymondSchool of Psychology, Swansea University, Swansea, United Kingdom.
Laura GoodwinFaculty of Health and Medicine, Lancaster University, Lancaster, United Kingdom.
Ewan CarrDepartment of Biostatistics & Health Informatics, King's College London, London, United Kingdom.
Nicola T FearKing's Centre for Military Health Research, Department of Psychological Medicine, King's College London, London, United Kingdom.
Dominic MurphyKing's Centre for Military Health Research, Department of Psychological Medicine, King's College London, London, United Kingdom.
Daniel LeightleySchool of Population Health Sciences, King's College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-9512-752X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frontline occupations, including military, healthcare, and first responders, often include frequent exposure to traumatic events, increasing the risk of substance use disorders (SUDs). Research has shown that those in high-intensity occupations are at higher risk of developing SUDs compared to the general population. Women face unique experiences related to substance use, including greater functional impairment and barriers to treatment access. Yet, understanding of the effectiveness of digital health technologies in addressing substance use among women in frontline occupations is limited. This systematic review evaluates the effectiveness of digital health interventions in reducing substance use among women in frontline roles. Four databases (PsycINFO, Ovid MEDLINE, Embase, PsycArticles) were searched for English language full-text articles (2007-2024) that (1) evaluated a digital intervention designed to reduce substance use, (2) reported changes in substance use outcomes such as frequency, intensity or duration, using validated tools (3) included current or former frontline public service workers, and (4) included women as the primary target population or as a subgroup within the sample. 13 papers met inclusion criteria, focusing on eight distinct web and mobile-based interventions for alcohol, tobacco and illicit substances. Most studies (n = 11) reported substantial post-intervention reductions in alcohol and tobacco use, although results for PTSD symptoms, illicit drug use, and quality of life were mixed. This review highlights the potential of digital health interventions for reducing substance use but underscores significant gaps in research. The scarcity of studies focused on women, small and heterogeneous samples, and focus on veterans limits the generalisability to women in frontline roles. These gaps present a pressing challenge in understanding gender-specific digital intervention efficacy. Future research should prioritise larger, representative samples of women across diverse frontline occupations to drive the development of digital technologies tailored to the unique challenges faced by women in these roles.

Identifiers

PMID41493956
PMCPMC12773817

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.