Retinopathy of prematurity in English neonatal units: a national population-based analysis using NHS operational data.

Wong, Hilary S; Santhakumaran, Shalini; Statnikov, Yevgeniy; Gray, Daniel; Watkinson, Michael; Modi, Neena

Wong, Hilary S; Santhakumaran, Shalini; Statnikov, Yevgeniy; Gray, Daniel; Watkinson, Michael; Modi, Neena.

Affiliation

Wong HS; Neonatal Data Analysis Unit, Section of Neonatal Medicine, Department of Medicine, Imperial College London, , London, UK.

Arch Dis Child Fetal Neonatal Ed ; 99(3): F196-202, 2014 May.

Article in En | MEDLINE | ID: mdl-24361602

Subject(s)

Guideline Adherence/statistics & numerical data; Infant, Premature, Diseases/diagnosis; Intensive Care Units, Neonatal/statistics & numerical data; Neonatal Screening/standards; Retinopathy of Prematurity/diagnosis; Bayes Theorem; Cohort Studies; England; Female; Gestational Age; Humans; Infant, Newborn; Infant, Premature; Infant, Premature, Diseases/therapy; Intensive Care Units, Neonatal/organization & administration; Male; Odds Ratio; Practice Guidelines as Topic; Retinopathy of Prematurity/therapy; State Medicine; Time Factors

Key words

Electronic health records; Practice guidelines; Preterm infants; Retinopathy of prematurity; Vision screening

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Full text: 1 Database: MEDLINE Main subject: Retinopathy of Prematurity / Intensive Care Units, Neonatal / Neonatal Screening / Guideline Adherence / Infant, Premature, Diseases Type of study: Clinical_trials / Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male / Newborn Country/Region as subject: Europa Language: En Year: 2014 Type: Article

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