Military Service Identification Tool
MSIT
Validating the Military Service Identification Tool in Its Ability to Correctly Identify Civilians and Those Who Have Served in the Military
1 other identifier
observational
5,844
1 country
1
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Sep 2020
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 5, 2020
CompletedFirst Posted
Study publicly available on registry
March 9, 2020
CompletedStudy Start
First participant enrolled
September 1, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
September 1, 2022
CompletedSeptember 2, 2021
August 1, 2021
1.7 years
March 5, 2020
September 1, 2021
Conditions
Keywords
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.
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.
Interventions
This study seeks to validate the Military Service Identification Tool in its ability to accurately determine military service status.
Eligibility Criteria
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
- King's College Londonlead
- Forces in Mind Trustcollaborator
- Combat Stresscollaborator
Study Sites (1)
South London and Maudsley NHS Foundation Trust
London, Greater Londn, SE58AZ, United Kingdom
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
Condition Hierarchy (Ancestors)
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.