2020
DOI: 10.1016/j.arrct.2020.100054
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Cerebral Palsy Research Network Clinical Registry: Methodology and Baseline Report

Abstract: Objective To apply practice-based evidence to clinical management of cerebral palsy (CP). The process of establishing purpose, structure, logistics, and elements of a multi-institutional registry and the baseline characteristics of initial enrollees are reported. Design A consensus-building process among consumers, clinicians, and researchers used a participatory action process. Setting Community, hospitals, and universities. P… Show more

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Cited by 6 publications
(5 citation statements)
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“…Clinical phenotypic data is entered by clinicians caring for patients in real time, and data is captured and securely transferred to the data coordinating center at the University of Pittsburgh. 32 Participation in the CPRN clinical registry thus provides crucial phenotypic data. Privacy-preserving records linkage may then be used to link the clinical and genomic sequencing datasets, effectively connecting phenotype with genotype.…”
Section: Methodsmentioning
confidence: 99%
“…Clinical phenotypic data is entered by clinicians caring for patients in real time, and data is captured and securely transferred to the data coordinating center at the University of Pittsburgh. 32 Participation in the CPRN clinical registry thus provides crucial phenotypic data. Privacy-preserving records linkage may then be used to link the clinical and genomic sequencing datasets, effectively connecting phenotype with genotype.…”
Section: Methodsmentioning
confidence: 99%
“…Provider‐entered data were obtained during the clinical visit utilizing data elements embedded in forms built for the Cerebral Palsy Research Network clinical registry 12 and an epilepsy‐specific form utilized by Nationwide Children's Hospital within the Epic electronic health record (Epic Systems Corp, Verona, WI, USA). Epilepsy type was determined by the neurology provider caring for the patient based on seizure semiology, electroencephalogram findings, and other clinical features according to the standard terminology 13 .…”
Section: Methodsmentioning
confidence: 99%
“…Data were summarized using frequency (percent) for categorical variables and median (interquartile range [IQR]) for continuous variables. While the number of days with seizures and side effects in the last 28 days were collected at a more granular level (1 day, 2–3 days, 4–14 days, 15–27 days, all 28 days, uncertain), aggregated categories of no days, some days ( 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 ), all 28 days, or uncertain were used for modeling because of small numbers in several categories. A composite variable was created using information about vagus nerve stimulation (VNS) and epilepsy surgery data, grouping participants into having had no surgery for epilepsy, VNS, or intracranial epilepsy surgeries (‘non‐VNS surgery’).…”
Section: Methodsmentioning
confidence: 99%
“…Along with the clinical restructuring of care, the electronic medical record was utilized to capture data that could be analyzed to improve clinical care through a Learning Health System model (Gross et al, 2020; Lowes et al, 2016).…”
Section: Methodsmentioning
confidence: 99%