2013
DOI: 10.1002/rnj.73
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A Case–Control Study of Pediatric Falls Using Electronic Medical Records

Abstract: The purpose of this study was to retrospectively review Humpty Dumpty Falls Scale (HDFS) scores using electronic medical records (EMR) reports at a pediatric hospital to determine characteristics related to falls, injuries, and performance of the HDFS tool. The specific research question was: Is there a significant difference in HDFS total scores between cases (children who fell) and controls (those who did not fall)? Results from 74 cases and 242 controls revealed the number of falls did not differ significan… Show more

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Cited by 12 publications
(15 citation statements)
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References 23 publications
(34 reference statements)
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“…Use of multivariate logistic regression in EHR datasets is frequently affected by the facts that (a) a significant number of patient records may not include essential covariates necessary to execute the model, and (b) large‐scale imputation may yield biased results (Aagaard et al, ; Pedersen et al, ; White, Daniel, & Royston, ). To address this limitation, a case–control design has been successfully used for population‐based risk factor estimation in studies utilizing EHR datasets, where cases with complete or almost complete sets of confounding variables are matched randomly with controls in a stratified manner (Castro et al, ; Messmer, Williams, & Williams, ). Thus, for the second aim of this study, that is, the identification of risk factors for peri‐implantitis, a nested case–control design was used, as described above.…”
Section: Discussionmentioning
confidence: 99%
“…Use of multivariate logistic regression in EHR datasets is frequently affected by the facts that (a) a significant number of patient records may not include essential covariates necessary to execute the model, and (b) large‐scale imputation may yield biased results (Aagaard et al, ; Pedersen et al, ; White, Daniel, & Royston, ). To address this limitation, a case–control design has been successfully used for population‐based risk factor estimation in studies utilizing EHR datasets, where cases with complete or almost complete sets of confounding variables are matched randomly with controls in a stratified manner (Castro et al, ; Messmer, Williams, & Williams, ). Thus, for the second aim of this study, that is, the identification of risk factors for peri‐implantitis, a nested case–control design was used, as described above.…”
Section: Discussionmentioning
confidence: 99%
“…In Figure 1, the selection process of the articles with a PRISMA flow chart is presented, with the seven included in the final sample (two articles from EBSCO [CINAHL and MEDLINE] (20)(21) , four articles from PubMed (22)(23)(24)(25) and one article from SciELO (26) ).…”
Section: Resultsmentioning
confidence: 99%
“…There have been attempts to validate a number of these paediatric-specific tools including; Little Schmidy, Humpty Dumpty Fall Scale, CHAMPS, GRAF-PIF, and I'M SAFE. However there have been significant concerns with the sensitivity and/or specificity of these tools (DiGerolamo & Davis, 2017;Harvey et al, 2010;Messmer, Williams, & Williams, 2013). To date no paediatric fall risk assessment tool has been found to be valid and reliable across institutions and diverse populations (DiGerolamo & Davis, 2017;Harvey et al, 2010;Ryan-Wenger et al, 2012).…”
Section: Practice Implicationsmentioning
confidence: 99%