NCT04299789

Brief Summary

Estimates of the UK's military veteran population, defined by the British Government as those who have served in the military for at least one day, is approximately 2.5 million, equivalent to around 5% of household residents aged 16 years or over in the UK. UK military veterans receive healthcare provision from the National Health Service (NHS), with care recorded in local, regional and national EHRs. EHRs - structured and unstructured (i.e. free text) - can be used to evaluate disease prevalence, surveillance, to perform epidemiological analyses and investigate quality of care and to improve clinical decision-making. There is no national marker in UK EHRs to identify veterans, nor is there a requirement for healthcare professionals to record it, making it difficult to evaluate the unique healthcare needs of those who have served in the UK Armed Forces. This study, funded by Forces in Mind Trust, seeks to validate the Military Service Identification Tool, an open-source computer program that searches through free-text clinical notes to make a prediction on a person's military status. It is in the public interest to know the health of our Armed Forces. The Tool has been validated using manually annotated datasets, but we now need to valid an individual's military status by contacting them via post or telephone and asking, "Have you ever served in the Armed Forces". The research team will work closely with the CRIS Patient Advisory Group and local healthcare professionals.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
5,844

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Sep 2020

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

March 5, 2020

Completed
4 days until next milestone

First Posted

Study publicly available on registry

March 9, 2020

Completed
6 months until next milestone

Study Start

First participant enrolled

September 1, 2020

Completed
1.7 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 1, 2022

Completed
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

September 1, 2022

Completed
Last Updated

September 2, 2021

Status Verified

August 1, 2021

Enrollment Period

1.7 years

First QC Date

March 5, 2020

Last Update Submit

September 1, 2021

Conditions

Keywords

mental healthnatural language processing

Outcome Measures

Primary Outcomes (1)

  • Accuracy of the tool

    The primary outcome of this study is to provide descriptive statistics on the accuracy of the Military Service Identification Tool in correctly identifying those who have served in the Armed Forces.

    Analysis will be conducted within 6 months after data collection.

Study Arms (2)

Probable Civilian

This cohort represents those in which the Military Service Identification Tool has determined are a civilian and have not served in the Armed Forces.

Other: Validating the Military Service Identification Tool

Probable Veteran

This cohort represents those in which the Military Service Identification Tool has determined are a military veteran and have served in the Armed Forces.

Other: Validating the Military Service Identification Tool

Interventions

This study seeks to validate the Military Service Identification Tool in its ability to accurately determine military service status.

Probable CivilianProbable Veteran

Eligibility Criteria

Age18 Years+
Sexall
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Participants have already been identified using the Military Service Identification Tool. In a previous research project, the Tool was run on the records of 150,000 patients extracted from the Clinical Record Interactive Search, which is managed by NIHR Maudsley Biomedical Research Centre (BRC). A copy of the article describing the methodology has recently been accepted for publication in JMIR Medical Informatics (DOI: 10.2196/15852). In total 2,922 probable veterans were identified and matched to 2,922 civilians on age and gender. The dataset has a total sample size of 5,844 individuals. Once approvals are in place, we will identify those who have given consent to be contacted and meet our eligibility criteria (described in other parts of our application).

You may qualify if:

  • Participants are listed as 'Alive' in the SLaM BRC Clinical Record Interactive Search database;
  • Participants will be aged 18 years and old;
  • Participant has given Consent for Contact;
  • Participant has a valid postal or email address or telephone number;
  • Participants have capacity to consent and deemed fit to participate in research by a clinician.
  • Participants will be able to speak English.
  • Participants will be excluded if a clinician is required to be notified of the research prior to contact, as this may indicate at risk participants. Further participants who are not fluent in spoken English will be unable to take part in the study due to inability to understand the participant information and consent form. Therefore, non-English speaking participants will not be included in this study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

South London and Maudsley NHS Foundation Trust

London, Greater Londn, SE58AZ, United Kingdom

RECRUITING

Related Publications (1)

  • Mark KM, Leightley D, Pernet D, Murphy D, Stevelink SAM, Fear NT. Identifying Veterans Using Electronic Health Records in the United Kingdom: A Feasibility Study. Healthcare (Basel). 2019 Dec 19;8(1):1. doi: 10.3390/healthcare8010001.

    PMID: 31861575BACKGROUND

Related Links

MeSH Terms

Conditions

Mental DisordersPsychological Well-Being

Condition Hierarchy (Ancestors)

Personal SatisfactionBehavior

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 5, 2020

First Posted

March 9, 2020

Study Start

September 1, 2020

Primary Completion

June 1, 2022

Study Completion

September 1, 2022

Last Updated

September 2, 2021

Record last verified: 2021-08

Data Sharing

IPD Sharing
Will not share

We will not be sharing any data collected with other researchers as data will be deleted within 6 months of the study finishing.

Locations