Evidence map›Paper›PMID 29602429›Full record

ArticleInternational journal of medical informatics2018

Integrating electronic healthcare records of armed forces personnel: Developing a framework for evaluating health outcomes in England, Scotland and Wales.

Daniel Leightley, Zoe Chui, Margaret Jones, Sabine Landau, Paul McCrone, Richard D Hayes, Simon Wessely, Nicola T Fear, Laura Goodwin

Abstract read
In one paragraph

Article in International journal of medical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

9 authors.

Daniel LeightleyKing's Centre for Military Health Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom. Electronic address: daniel.leightley@kcl.ac.uk.
Zoe ChuiKing's Centre for Military Health Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom. Electronic address: zoe.e.chui@kcl.ac.uk.
Margaret JonesKing's Centre for Military Health Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom. Electronic address: margaret.jones@kcl.ac.uk.
Sabine LandauBiostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom. Electronic address: sabine.landau@kcl.ac.uk.
Paul McCroneHealth Services & Population Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom. Electronic address: paul.mccrone@kcl.ac.uk.
Richard D HayesPsychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom. Electronic address: richard.hayes@kcl.ac.uk.
Simon WesselyKing's Centre for Military Health Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom; Academic Department of Military Mental Health, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom. Electronic address: simon.wessely@kcl.ac.uk.
Nicola T FearKing's Centre for Military Health Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom; Academic Department of Military Mental Health, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom. Electronic address: nicola.t.fear@kcl.ac.uk.
Laura GoodwinDepartment of Psychological Sciences, University of Liverpool, United Kingdom. Electronic address: laura.goodwin@liverpool.ac.uk.

Funding

Medical Research Council MR/J01219X/1
6 · The paper itself

Abstract

backgroundElectronic Healthcare Records (EHRs) are created to capture summaries of care and contact made to healthcare services. EHRs offer a means to analyse admissions to hospitals for epidemiological research. In the United Kingdom (UK), England, Scotland and Wales maintain separate data stores, which are administered and managed exclusively by devolved Government. This independence results in harmonisation challenges, not least lack of uniformity, making it difficult to evaluate care, diagnoses and treatment across the UK. To overcome this lack of uniformity, it is important to develop methods to integrate EHRs to provide a multi-nation dataset of health.

objectiveTo develop and describe a method which integrates the EHRs of Armed Forces personnel in England, Scotland and Wales based on variable commonality to produce a multi-nation dataset of secondary health care.

methodsAn Armed Forces cohort was used to extract and integrate three EHR datasets, using commonality as the linkage point. This was achieved by evaluating and combining variables which shared the same characteristics. EHRs representing Accident and Emergency (A&E), Admitted Patient Care (APC) and Outpatient care were combined to create a patient-level history spanning three nations. Patient-level EHRs were examined to ascertain admission differences, common diagnoses and record completeness.

resultsA total of 6,336 Armed Forces personnel were matched, of which 5,460 personnel had 7,510 A&E visits, 9,316 APC episodes and 45,005 Outpatient appointments. We observed full completeness for diagnoses in APC, whereas Outpatient admissions were sparsely coded; with 88% of diagnoses coded as "Unknown/unspecified cause of morbidity". In addition, A&E records were sporadically coded; we found five coding systems for identifying reason for admission.

conclusionAt present, EHRs are designed to monitor the cost of treatment, enable administrative oversight, and are not currently suited to epidemiological research. However, only small changes may be needed to take advantage of what should be a highly cost-effective means of delivering important research for the benefit of the NHS.

Indexed as

Patient Care PlanningCohort StudiesElectronic Health RecordsEnglandFemaleHumansMaleMilitary PersonnelPatient Acceptance of Health CarePatient CareScotlandWalesBig dataData linkageElectronic health recordsHospital admissionHospital episode statisticsSecondary care

Identifiers

PMID29602429
PMCPMC5887874

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.