ArticleThe Journal of investigative dermatology2017
Development and Validation of an Algorithm to Accurately Identify Atopic Eczema Patients in Primary Care Electronic Health Records from the UK.
Article in The Journal of investigative dermatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
47 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Partner bereavement and risk of psoriasis and atopic eczema: cohort studies in the U.K. and Denmark.The British journal of dermatology · 2020Pooled it
- Systematic review of atopic dermatitis disease definition in studies using routinely collected health data.The British journal of dermatology · 2018Pooled it
- Harmonizing UK primary care prescription records for research: a case study in the UK biobank.JAMIA open · 2026Article
- Atopic dermatitis is associated with herpes zoster in adults - A matched cohort study using electronic health records data in England.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2026Article
- Mapping risks of health conditions in people with atopic eczema in English primary care and hospital data.Nature communications · 2025Article
- Utilization of Computable Phenotypes in Electronic Health Record Research: A Review and Case Study in Atopic Dermatitis.The Journal of investigative dermatology · 2025Review
- Characterizing Patients and Treatment Patterns in Moderate-to-severe Atopic Dermatitis in Finland: A Population-based Study Using National Health Data.Acta dermato-venereologica · 2025Observational
- Cohort studies on 71 outcomes among people with atopic eczema in UK primary care data.Nature communications · 2024Article
- In utero or early-in-life exposure to antibiotics and the risk of childhood atopic dermatitis, a population-based cohort study.The British journal of dermatology · 2024Article
- Clinical coding of long COVID in primary care 2020-2023 in a cohort of 19 million adults: an OpenSAFELY analysis.EClinicalMedicine · 2024Article
- Ethnic differences in depression and anxiety among adults with atopic eczema: Population-based matched cohort studies within UK primary care.Clinical and translational allergy · 2024Article
- Risk of atopic dermatitis and the atopic march paradigm in children of mothers with atopic illnesses: A birth cohort study from the United Kingdom.Journal of the American Academy of Dermatology · 2024Article
- Incident Asthma, Asthma Exacerbations, and Asthma-Related Hospitalizations in Patients With Atopic Dermatitis.The journal of allergy and clinical immunology. In practice · 2024Article
- Association between atopic dermatitis, autoimmune illnesses, Epstein-Barr virus, and cytomegalovirus.Archives of dermatological research · 2023Article
- Risk of Inflammatory Bowel Disease in Patients With Atopic Dermatitis.JAMA dermatology · 2023Article
- Association between parental autoimmune disease and childhood atopic dermatitis varied by sex: a nationwide case-control study.Archives of dermatological research · 2023Article
- Common mental health disorders in adults with inflammatory skin conditions: nationwide population-based matched cohort studies in the UK.BMC medicine · 2023Article
- Prevalence and treatment patterns of adult atopic dermatitis in the UK Clinical Practice Research Datalink.Skin health and disease · 2023Article
- The association between atopic eczema and lymphopenia: Results from a UK cohort study with replication in US survey data.Journal of the European Academy of Dermatology and Venereology : JEADV · 2023Article
- Validation of a primary care electronic medical records case definition for eczema: retrospective cross-sectional study.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Electronic health records hold great promise for clinical and epidemiologic research. Undertaking atopic eczema (AE) research using such data is challenging because of its episodic and heterogeneous nature. We sought to develop and validate a diagnostic algorithm that identifies AE cases based on codes used for electronic records used in the UK Health Improvement Network. We found that at least one of five diagnosis codes plus two treatment codes for any skin-directed therapy were likely to accurately identify patients with AE. To validate this algorithm, a questionnaire was sent to the physicians of 200 randomly selected children and adults. The primary outcome, positive predictive value for a physician-confirmed diagnosis of AE, was 86% (95% confidence interval = 80-91). Additional criteria increased the PPV up to 95% but would miss up to 89% of individuals with physician-confirmed AE. The first and last entered diagnosis codes for individuals showed good agreement with the physician-confirmed age at onset and last disease activity; the mean difference was 0.8 years (95% confidence interval = -0.3 to 1.9) and -1.3 years (95% confidence interval = -2.5 to -0.1), respectively. A combination of diagnostic and prescription codes can be used to reliably estimate the diagnosis and duration of AE from The Health Improvement Network primary care electronic health records in the UK.
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