title: Use of patient registries and administrative datasets for the study of pediatric cancer.
abstract: Analysis of data from large administrative databases and patient registries is increasingly being used to study childhood cancer care, although the value of these data sources remains unclear to many clinicians. Interpretation of large databases requires a thorough understanding of how the dataset was designed, how data were collected, and how to assess data quality. This review will detail the role of administrative databases and registry databases for the study of childhood cancer, tools to maximize information from these datasets, and recommendations to improve the use of these databases for the study of pediatric oncology.
authors: Department of Surgery, Duke University Medical Center, Durham, North Carolina.|Department of Pediatrics, Duke University Medical Center, Durham, North Carolina.
authors: Henry E
authors: HE
authors: Rice
authors: Department of Surgery, Duke University Medical Center, Durham, North Carolina.
authors: Brian R
authors: BR
authors: Englum
authors: Department of Surgery, Duke University Medical Center, Durham, North Carolina.
authors: Brian C
authors: BC
authors: Gulack
authors: Department of Surgery, Duke University Medical Center, Durham, North Carolina.|Department of Pediatrics, Duke University Medical Center, Durham, North Carolina.
authors: Obinna O
authors: OO
authors: Adibe
authors: Department of Surgery, Duke University Medical Center, Durham, North Carolina.|Department of Pediatrics, Duke University Medical Center, Durham, North Carolina.
authors: Elizabeth T
authors: ET
authors: Tracy
authors: Department of Pediatrics, Duke University Medical Center, Durham, North Carolina.
authors: Susan G
authors: SG
authors: Kreissman
authors: Department of Surgery, Duke University Medical Center, Durham, North Carolina.|Department of Pediatrics, Duke University Medical Center, Durham, North Carolina.
authors: Jonathan C
authors: JC
authors: Routh
mesh_terms: D000570:American Cancer Society; D057225:Data Mining; D016208:Databases, Factual; D013502:General Surgery; D017048:Health Care Costs / Q000706:statistics & numerical data; D063005:Health Information Systems; D006801:Humans; D007297:Inpatients / Q000706:statistics & numerical data; D007343:Insurance Carriers; D008484:Medicaid; D008495:Medical Oncology; D009369:Neoplasms / Q000191:economics / Q000453:epidemiology* / Q000628:therapy; D010343:Patient Admission / Q000706:statistics & numerical data; D010351:Patient Discharge / Q000706:statistics & numerical data; D010372:Pediatrics; D012042:Registries; D018426:SEER Program; D012955:Societies, Medical; D012984:Software; D016896:Treatment Outcome; D014481:United States; D016270:United States Agency for Healthcare Research and Quality
keywords: administrative dataset; patient registry; pediatric cancer; secondary analysis