ArticleEuropean journal of clinical pharmacology2016
Identification of Dutch children diagnosed with atopic diseases using prescription data: a validation study.
Article in European journal of clinical pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 22 citations in OpenAlex.
- Article
- Treatment Patterns of Atopic Dermatitis Medication in 0-10-Year-Olds: A Nationwide Prescription-Based Study.Dermatology and therapy · 2022Article
- Educational and health outcomes of children treated for asthma: Scotland-wide record linkage study of 683 716 children.The European respiratory journal · 2019Article
- Incidence Trends of Atopic Dermatitis in Infancy and Early Childhood in a Nationwide Prescription Registry Study in Norway.JAMA network open · 2018Article
- Increased healthcare utilisation among atopic children in a general practice database: a nested index-control study.BJGP open · 2018Article
- Development and Validation of an Algorithm to Accurately Identify Atopic Eczema Patients in Primary Care Electronic Health Records from the UK.The Journal of investigative dermatology · 2017Article
- Reliably estimating prevalences of atopic children: an epidemiological study in an extensive and representative primary care database.NPJ primary care respiratory medicine · 2017Article
- Atopic children and use of prescribed medication: A comprehensive study in general practice.PloS one · 2017Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study is to validate medication proxies for the identification of children diagnosed with atopic disorders that can be applied in various types of epidemiological research.
methodsRecords of 7439 children, aged between 0 and 10 years, in the period 2001 until 2010, were retrieved from the Registration Network Groningen database, a general practitioners database in the north-eastern part of the Netherlands. The sensitivity and positive predictive value (PPV) of 22 medication proxies for the identification of children diagnosed with atopic disorders (asthma, atopic dermatitis, and allergic rhinitis) were computed using the registered diagnoses as gold standards. In addition, different capture periods (1 year, half year, and length of study period) for the detection of prescriptions were tested for all the medication proxies.
resultsThe highest PPV (0.84, 95 % CI 0.81-0.87) in combination with a sufficient sensitivity value (0.54, 95 % CI 0.50-0.57) for the identification of children diagnosed with asthma was yielded for the medication proxy, ≥2 prescriptions for anti-asthma medication within 1 year, including 1 inhaled steroid. PPV and sensitivity were even higher in the age group 6-10 years. The proxies designed for the identification of children diagnosed with atopic dermatitis and allergic rhinitis yielded only high PPVs (≥0.75) in combination with low sensitivity values (≤0.22). Altering the capture period for the detection of prescriptions to half a year or the length of the study period only affected sensitivity values.
conclusionChildren diagnosed with asthma can be identified reliably with a range of medication proxies. The use of prescription data for the identification of children diagnosed with atopic dermatitis and allergic rhinitis is questionable.
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