Integration of cancer registry and electronic health record data to construct a childhood cancer survivorship cohort, facilitate risk stratification for late effects, and assess appropriate follow‐up care
| Autor: | David H Noyd, Kristin Schroeder, Kevin C. Oeffinger, Paul M. Lantos, Nigel B. Neely, Steve Power, Susan G. Kreissman |
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| Rok vydání: | 2021 |
| Předmět: |
Male
Risk medicine.medical_specialty Databases Factual Aftercare Survivorship Subspecialty Health informatics 03 medical and health sciences 0302 clinical medicine Cancer Survivors Neoplasms Survivorship curve Internal medicine medicine Electronic Health Records Humans Registries Child Retrospective Studies business.industry Medical record Retrospective cohort study Hematology Cancer registry Logistic Models Oncology Child Preschool 030220 oncology & carcinogenesis Pediatrics Perinatology and Child Health Cohort Female business International Classification of Diseases for Oncology 030215 immunology |
| Zdroj: | Pediatric Blood & Cancer. 68 |
| ISSN: | 1545-5017 1545-5009 |
| DOI: | 10.1002/pbc.29014 |
| Popis: | BACKGROUND This retrospective study harnessed an institutional cancer registry to construct a childhood cancer survivorship cohort, integrate electronic health record (EHR) and geospatial data to stratify survivors based on late-effect risk, analyze follow-up care patterns, and determine factors associated with suboptimal follow-up care. PROCEDURE The survivorship cohort included patients ≤18 years of age reported to the institutional cancer registry between January 1, 1994 and November 30, 2012. International Classification of Diseases for Oncology, third revision (ICD-O-3) coding and treatment exposures facilitated risk stratification of survivors. The EHR was linked to the cancer registry based on medical record number (MRN) to extract clinic visits. RESULTS Five hundred and ninety pediatric hematology-oncology (PHO) and 275 pediatric neuro-oncology (PNO) survivors were included in the final analytic cohort. Two hundred and eight-two survivors (32.6%) were not seen in any oncology-related subspecialty clinic at Duke 5-7 years after initial diagnosis. Factors associated with follow-up included age (p = .008), diagnosis (p |
| Databáze: | OpenAIRE |
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