ArticlePloS one2013
Evaluation of smoking status identification using electronic health records and open-text information in a large mental health case register.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 5 of them syntheses that pooled it.
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Who cites it
50 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Extracting social determinants of health from electronic health records using natural language processing: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- The Potential of Research Drawing on Clinical Free Text to Bring Benefits to Patients in the United Kingdom: A Systematic Review of the Literature.Frontiers in digital health · 2021Pooled it
- The use of Electronic Health Records to Support Population Health: A Systematic Review of the Literature.Journal of medical systems · 2018Pooled it
- Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review.Journal of biomedical informatics · 2017Pooled it
- Text mining applications in psychiatry: a systematic literature review.International journal of methods in psychiatric research · 2016Pooled it
- Smoking and obsessive-compulsive symptoms in patients with schizophrenia, schizoaffective disorder or bipolar disorder using electronic mental health records.BJPsych open · 2026Article
- Exploring trauma recovery in nurses: a text mining and thematic analysis based on Swanson's theory of caring.BMC nursing · 2025Article
- Predicting early-onset COPD risk in adults aged 20-50 using electronic health records and machine learning.PeerJ · 2024Article
- Natural Language Processing Applied to Clinical Documentation in Post-acute Care Settings: A Scoping Review.Journal of the American Medical Directors Association · 2024Article
- Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Optimizing cardiovascular risk assessment and registration in a developing cardiovascular learning health care system: Women benefit most.PLOS digital health · 2023Article
- Leveraging electronic health record data for endometriosis research.Frontiers in digital health · 2023Review
- Data mining to retrieve smoking status from electronic health records in general practiceEuropean heart journal. Digital health · 2022Article
- Prevalence of Sensitive Terms in Clinical Notes Using Natural Language Processing Techniques: Observational Study.JMIR medical informatics · 2022Article
- Calcium Channel Blocker Use and the Risk for Breast Cancer: A Population-Based Nested Case-Control Study.Cancers · 2022Article
- Natural Language Processing Methods and Bipolar Disorder: Scoping Review.JMIR mental health · 2022Article
- The impact of cigarette smoking on life expectancy in schizophrenia, schizoaffective disorder and bipolar affective disorder: An electronic case register cohort study.Schizophrenia research · 2021Article
- Clinician Variation in Ordering and Completion of Low-Dose Computed Tomography for Lung Cancer Screening in a Safety-Net Medical System.Clinical lung cancer · 2021Article
- Cognitive Trajectories in Comorbid Dementia With Schizophrenia or Bipolar Disorder: The South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2021Article
- Fate or coincidence: do COPD and major depression share genetic risk factors?Human molecular genetics · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundHigh smoking prevalence is a major public health concern for people with mental disorders. Improved monitoring could be facilitated through electronic health record (EHR) databases. We evaluated whether EHR information held in structured fields might be usefully supplemented by open-text information. The prevalence and correlates of EHR-derived current smoking in people with severe mental illness were also investigated.
methodsAll cases had been referred to a secondary mental health service between 2008-2011 and received a diagnosis of schizophreniform or bipolar disorder. The study focused on those aged over 15 years who had received active care from the mental health service for at least a year (N=1,555). The 'CRIS-IE-Smoking' application used General Architecture for Text Engineering (GATE) natural language processing software to extract smoking status information from open-text fields. A combination of CRIS-IE-Smoking with data from structured fields was evaluated for coverage and the prevalence and demographic correlates of current smoking were analysed.
resultsProportions of patients with recorded smoking status increased from 11.6% to 64.0% through supplementing structured fields with CRIS-IE-Smoking data. The prevalence of current smoking was 59.6% in these 995 cases for whom this information was available. After adjustment, younger age (below 65 years), male sex, and non-cohabiting status were associated with current smoking status.
conclusionsA natural language processing application substantially improved routine EHR data on smoking status above structured fields alone and could thus be helpful in improving monitoring of this lifestyle behaviour. However, limited information on smoking status remained a challenge.
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