An algorithm to identify preterm infants in administrative claims data

Pharmacoepidemiology and Drug Safety

Volumn 21, Issue 6, 2012, Pages 640-650

  Eworuke, Efe ^a   Hampp, Christian ^b   Saidi, Arwa ^c   Winterstein, Almut G ^a,c  

^a UNIVERSITY OF FLORIDA HEALTH   (United States)

^b CENTER FOR DRUG EVALUATION AND RESEARCH   (United States)

^c UNIVERSITY OF FLORIDA COLLEGE OF MEDICINE   (United States)

Author keywords

Birth certificates; Claims data; Gestational age; Medicaid; Pharmacoepidemiology; Prematurity; Sensitivity; Specificity

Indexed keywords

ARTICLE; BILLING AND CLAIMS; BIRTH CERTIFICATE; CHILD; CHILD CARE; CODING ALGORITHM; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; GESTATIONAL AGE; GOLD STANDARD; HOSPITAL PATIENT; HUMAN; ICD-9; ICD-9-CM; INFANT; MAJOR CLINICAL STUDY; MALE; MEDICAID; MEDICAL FEE; MEDICAL RECORD REVIEW; NEWBORN; PERINATAL PERIOD; PREDICTIVE VALUE; PREMATURITY; PRESCHOOL CHILD; PREVALENCE; PRIORITY JOURNAL; SCORING SYSTEM; SENSITIVITY ANALYSIS; SENSITIVITY AND SPECIFICITY; UNITED STATES; VALIDITY;

ALGORITHMS; FLORIDA; GESTATIONAL AGE; HUMANS; INFANT MORTALITY; INFANT, NEWBORN; INFANT, PREMATURE; INSURANCE CLAIM REVIEW; INTERNATIONAL CLASSIFICATION OF DISEASES; LOGISTIC MODELS; MEDICAID; PREMATURE BIRTH; PREVALENCE; REPRODUCIBILITY OF RESULTS; TEXAS; UNITED STATES;

EID: 84862233689     PISSN: 10538569     EISSN: 10991557     Source Type: Journal    
DOI: 10.1002/pds.3264     Document Type: Article

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