2022
DOI: 10.1016/j.chiabu.2022.105592
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Patterns of healthcare utilization with placement changes for youth in foster care

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Cited by 12 publications
(8 citation statements)
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“…Our research team was provided with a linked, limited dataset that contained encounter-level data for all children who received care from Cincinnati Children's Hospital Medical Center and their corresponding child welfare administrative data (see Table 1 for complete list of data fields). To accomplish the goal of examining patterns of healthcare use as children experienced changes in placement while in child welfare protective custody [2] , data provided to our team had to be cleaned and new variables were derived from existing data fields. Below we detail the methods used to identify each data field in the original data source, how it was transformed (when necessary), and how it is represented in the data analysed for our companion publication [2] .…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
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“…Our research team was provided with a linked, limited dataset that contained encounter-level data for all children who received care from Cincinnati Children's Hospital Medical Center and their corresponding child welfare administrative data (see Table 1 for complete list of data fields). To accomplish the goal of examining patterns of healthcare use as children experienced changes in placement while in child welfare protective custody [2] , data provided to our team had to be cleaned and new variables were derived from existing data fields. Below we detail the methods used to identify each data field in the original data source, how it was transformed (when necessary), and how it is represented in the data analysed for our companion publication [2] .…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…To accomplish the goal of examining patterns of healthcare use as children experienced changes in placement while in child welfare protective custody [2] , data provided to our team had to be cleaned and new variables were derived from existing data fields. Below we detail the methods used to identify each data field in the original data source, how it was transformed (when necessary), and how it is represented in the data analysed for our companion publication [2] . Electronic Health Records Data: Each child included in this study ( N = 2787) had a linked child welfare and electronic health record (EHR).…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
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“…This article uses data simulated from those collected in a research project involving adolescents in foster care (Beal, Ammerman, & Peugh, 2017), resulting in a sample of N = 6,030 hypothetical participants. For the purpose of this article, the outcome of interest was the count of daily anxiety symptoms reported in the past 30 days (Barber & Delfabbro, 2003; Fernandez, 2009; Fisher, Van Ryzin, & Gunnar, 2011; Price, Roesch, Walsh, & Landsverk, 2015; Rock, Michelson, Thomson, & Day, 2013).…”
Section: Longitudinal Discontinuitiesmentioning
confidence: 99%