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Using a Pediatric Trigger Tool to Estimate Total Harm Burden Hospital-acquired Conditions Represent
INTRODUCTION: To improve patient safety, the Centers for Medicare & Medicaid Services (CMS) has promoted systematically measuring and reporting harm due to patient care. The CMS’s Partnership for Patients program identified 9 hospital-acquired conditions (HACs) for reduction, to make care safer,...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132812/ https://www.ncbi.nlm.nih.gov/pubmed/30229193 http://dx.doi.org/10.1097/pq9.0000000000000081 |
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author | Stockwell, David C. Landrigan, Christopher P. Schuster, Mark A. Klugman, Darren Bisarya, Hema Classen, David C. Dizon, Zoelle B. Hall, Matt Wood, Matthew Sharek, Paul J. |
author_facet | Stockwell, David C. Landrigan, Christopher P. Schuster, Mark A. Klugman, Darren Bisarya, Hema Classen, David C. Dizon, Zoelle B. Hall, Matt Wood, Matthew Sharek, Paul J. |
author_sort | Stockwell, David C. |
collection | PubMed |
description | INTRODUCTION: To improve patient safety, the Centers for Medicare & Medicaid Services (CMS) has promoted systematically measuring and reporting harm due to patient care. The CMS’s Partnership for Patients program identified 9 hospital-acquired conditions (HACs) for reduction, to make care safer, more reliable, and less costly. However, the proportion of inpatient pediatric harm represented by these HACs is unknown. METHODS: We conducted a retrospective review of 240 harms previously identified using the Pediatric All-Cause Harm Measurement Tool, a trigger tool that is applied to medical records to comprehensively identify harms. The original sample included 600 randomly selected patients from 6 children’s hospitals in February 2012. Patients with rehabilitation, obstetric, newborn nursery, and psychiatric admissions were excluded. The 240 identified harms were classified as a HAC if the event description potentially met the definition of 1 of the 9 CMS-defined HACs. HAC assessment was performed independently by 2 coauthors and compared using Cohen’s Kappa. RESULTS: Two hundred forty harms across 6 children’s hospitals were identified in February 2012 using a pediatric global trigger tool. Agreement between the coauthors on HAC classification was high (Kappa = 0.77). After reconciling differences, of the 240 identified harms, 58 (24.2%; 95% confidence interval: 9.1–31.7%) were classified as a CMS-defined HAC. CONCLUSIONS: One-fourth of all harms detected by a pediatric-specific trigger tool are represented by HACs. Although substantial effort is focused on identifying and minimizing HACs, to better understand and ultimately mitigate harm, more comprehensive harm identification and quantification may be needed to address events unidentified using this approach. |
format | Online Article Text |
id | pubmed-6132812 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-61328122018-09-18 Using a Pediatric Trigger Tool to Estimate Total Harm Burden Hospital-acquired Conditions Represent Stockwell, David C. Landrigan, Christopher P. Schuster, Mark A. Klugman, Darren Bisarya, Hema Classen, David C. Dizon, Zoelle B. Hall, Matt Wood, Matthew Sharek, Paul J. Pediatr Qual Saf Multi-institutional Collaborative and QI Network Research INTRODUCTION: To improve patient safety, the Centers for Medicare & Medicaid Services (CMS) has promoted systematically measuring and reporting harm due to patient care. The CMS’s Partnership for Patients program identified 9 hospital-acquired conditions (HACs) for reduction, to make care safer, more reliable, and less costly. However, the proportion of inpatient pediatric harm represented by these HACs is unknown. METHODS: We conducted a retrospective review of 240 harms previously identified using the Pediatric All-Cause Harm Measurement Tool, a trigger tool that is applied to medical records to comprehensively identify harms. The original sample included 600 randomly selected patients from 6 children’s hospitals in February 2012. Patients with rehabilitation, obstetric, newborn nursery, and psychiatric admissions were excluded. The 240 identified harms were classified as a HAC if the event description potentially met the definition of 1 of the 9 CMS-defined HACs. HAC assessment was performed independently by 2 coauthors and compared using Cohen’s Kappa. RESULTS: Two hundred forty harms across 6 children’s hospitals were identified in February 2012 using a pediatric global trigger tool. Agreement between the coauthors on HAC classification was high (Kappa = 0.77). After reconciling differences, of the 240 identified harms, 58 (24.2%; 95% confidence interval: 9.1–31.7%) were classified as a CMS-defined HAC. CONCLUSIONS: One-fourth of all harms detected by a pediatric-specific trigger tool are represented by HACs. Although substantial effort is focused on identifying and minimizing HACs, to better understand and ultimately mitigate harm, more comprehensive harm identification and quantification may be needed to address events unidentified using this approach. Wolters Kluwer Health 2018-05-25 /pmc/articles/PMC6132812/ /pubmed/30229193 http://dx.doi.org/10.1097/pq9.0000000000000081 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Multi-institutional Collaborative and QI Network Research Stockwell, David C. Landrigan, Christopher P. Schuster, Mark A. Klugman, Darren Bisarya, Hema Classen, David C. Dizon, Zoelle B. Hall, Matt Wood, Matthew Sharek, Paul J. Using a Pediatric Trigger Tool to Estimate Total Harm Burden Hospital-acquired Conditions Represent |
title | Using a Pediatric Trigger Tool to Estimate Total Harm Burden Hospital-acquired Conditions Represent |
title_full | Using a Pediatric Trigger Tool to Estimate Total Harm Burden Hospital-acquired Conditions Represent |
title_fullStr | Using a Pediatric Trigger Tool to Estimate Total Harm Burden Hospital-acquired Conditions Represent |
title_full_unstemmed | Using a Pediatric Trigger Tool to Estimate Total Harm Burden Hospital-acquired Conditions Represent |
title_short | Using a Pediatric Trigger Tool to Estimate Total Harm Burden Hospital-acquired Conditions Represent |
title_sort | using a pediatric trigger tool to estimate total harm burden hospital-acquired conditions represent |
topic | Multi-institutional Collaborative and QI Network Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132812/ https://www.ncbi.nlm.nih.gov/pubmed/30229193 http://dx.doi.org/10.1097/pq9.0000000000000081 |
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