2021
DOI: 10.1002/pbc.29014
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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

Abstract: 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… Show more

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Cited by 6 publications
(4 citation statements)
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“…Although this approach provides a reasonable scaffold for stratification, it overlooks key factors to consider in determining which patients may benefit from more frequent interaction with the survivorship care team at the cancer center to support their access to services and resources versus follow-up in a community setting. 106,107 For example, socioeconomic (eg, insurance status) 108,109 and geographic (eg, distance from care) constraints 110,111 may preclude access to specialized providers to address cancer treatment-related toxicities uncommonly encountered in primary care settings. In addition, the burden of CHCs (total number and severity) 112 and the impact of individual CHCs on self-reported daily functioning (ie, health-related quality of life) may challenge identification of community providers comfortable caring for survivors with medically complex needs.…”
Section: Risk-stratified Approaches To Carementioning
confidence: 99%
“…Although this approach provides a reasonable scaffold for stratification, it overlooks key factors to consider in determining which patients may benefit from more frequent interaction with the survivorship care team at the cancer center to support their access to services and resources versus follow-up in a community setting. 106,107 For example, socioeconomic (eg, insurance status) 108,109 and geographic (eg, distance from care) constraints 110,111 may preclude access to specialized providers to address cancer treatment-related toxicities uncommonly encountered in primary care settings. In addition, the burden of CHCs (total number and severity) 112 and the impact of individual CHCs on self-reported daily functioning (ie, health-related quality of life) may challenge identification of community providers comfortable caring for survivors with medically complex needs.…”
Section: Risk-stratified Approaches To Carementioning
confidence: 99%
“…23 Coding for bone tumors, central nervous system tumors, Hodgkin's lymphoma, non-Hodgkins lymphoma, leukemia, neuroblastoma, retinoblastoma, sarcoma, Wilms tumor, and other categories were previously reported. 24 The cancer registry captures whether patients received chemotherapy, surgery, radiation, or transplant as dichotomous variables. 21 Late effects risk strati cation, based on primary diagnosis and dichotomous treatment exposures, was conducted based on the British Childhood Cancer Survivor Study risk groups.…”
Section: Disease Classi Cation and Late Effects Risk Strati Cationmentioning
confidence: 99%
“…3 Young adulthood is a particularly high-risk time, as many childhood cancer survivors face difficulties transitioning from pediatric to adult healthcare systems and finding clinicians who are familiar with their healthcare needs. 4 Survivors who lack insurance, 3,[5][6][7] have lower income and education, 8 live farther from specialized clinics 3 or in a region with lower area socioeconomic status, 9 or belong to historically marginalized racial or ethnic groups, [10][11][12] are less likely to receive guideline-concordant survivorship care. Inequitable access and adherence to survivorship care lead to health disparities and may place already-vulnerable groups at greater risk of poor long-term health.…”
Section: Introductionmentioning
confidence: 99%