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Perioperative patient safety indicators and hospital surgical volumes

BACKGROUND: Since the late 1990s, patient safety has been an important policy issue in developed countries. To evaluate the effectiveness of the activities of patient safety, it is necessary to quantitatively assess the incidence of adverse events by types of failure mode using tangible data. The pu...

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Autores principales: Kitazawa, Takefumi, Matsumoto, Kunichika, Fujita, Shigeru, Yoshida, Ai, Iida, Shuhei, Nishizawa, Hirotoshi, Hasegawa, Tomonori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3942062/
https://www.ncbi.nlm.nih.gov/pubmed/24581330
http://dx.doi.org/10.1186/1756-0500-7-117
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author Kitazawa, Takefumi
Matsumoto, Kunichika
Fujita, Shigeru
Yoshida, Ai
Iida, Shuhei
Nishizawa, Hirotoshi
Hasegawa, Tomonori
author_facet Kitazawa, Takefumi
Matsumoto, Kunichika
Fujita, Shigeru
Yoshida, Ai
Iida, Shuhei
Nishizawa, Hirotoshi
Hasegawa, Tomonori
author_sort Kitazawa, Takefumi
collection PubMed
description BACKGROUND: Since the late 1990s, patient safety has been an important policy issue in developed countries. To evaluate the effectiveness of the activities of patient safety, it is necessary to quantitatively assess the incidence of adverse events by types of failure mode using tangible data. The purpose of this study is to calculate patient safety indicators (PSIs) using the Japanese Diagnosis Procedure Combination/per-diem payment system (DPC/PDPS) reimbursement data and to elucidate the relationship between perioperative PSIs and hospital surgical volume. METHODS: DPC/PDPS data of the Medi-Target project managed by the All Japan Hospital Association were used. An observational study was conducted where PSIs were calculated using an algorithm proposed by the US Agency for Healthcare Research and Quality. We analyzed data of 1,383,872 patients from 188 hospitals who were discharged from January 2008 to December 2010. RESULTS: Among 20 provider level PSIs, four PSIs (three perioperative PSIs and decubitus ulcer) and mortality rates of postoperative patients were related to surgical volume. Low-volume hospitals (less than 33rd percentiles surgical volume per month) had higher mortality rates (5.7%, 95% confidence interval (CI), 3.9% to 7.4%) than mid- (2.9%, 95% CI, 2.6% to 3.3%) or high-volume hospitals (2.7%, 95% CI, 2.5% to 2.9%). Low-volume hospitals had more deaths among surgical inpatients with serious treatable complications (38.5%, 95% CI, 33.7% to 43.2%) than high-volume hospitals (21.4%, 95% CI, 19.0% to 23.9%). Also Low-volume hospitals had lower proportion of difficult surgeries (54.9%, 95% CI, 50.1% to 59.8%) compared with high-volume hospitals (63.4%, 95% CI, 62.3% to 64.6%). In low-volume hospitals, limited experience may have led to insufficient care for postoperative complications. CONCLUSIONS: We demonstrated that PSIs can be calculated using DPC/PDPS data and perioperative PSIs were related to hospital surgical volume. Further investigations focusing on identifying risk factors for poor PSIs and effective support to these hospitals are needed.
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spelling pubmed-39420622014-03-05 Perioperative patient safety indicators and hospital surgical volumes Kitazawa, Takefumi Matsumoto, Kunichika Fujita, Shigeru Yoshida, Ai Iida, Shuhei Nishizawa, Hirotoshi Hasegawa, Tomonori BMC Res Notes Research Article BACKGROUND: Since the late 1990s, patient safety has been an important policy issue in developed countries. To evaluate the effectiveness of the activities of patient safety, it is necessary to quantitatively assess the incidence of adverse events by types of failure mode using tangible data. The purpose of this study is to calculate patient safety indicators (PSIs) using the Japanese Diagnosis Procedure Combination/per-diem payment system (DPC/PDPS) reimbursement data and to elucidate the relationship between perioperative PSIs and hospital surgical volume. METHODS: DPC/PDPS data of the Medi-Target project managed by the All Japan Hospital Association were used. An observational study was conducted where PSIs were calculated using an algorithm proposed by the US Agency for Healthcare Research and Quality. We analyzed data of 1,383,872 patients from 188 hospitals who were discharged from January 2008 to December 2010. RESULTS: Among 20 provider level PSIs, four PSIs (three perioperative PSIs and decubitus ulcer) and mortality rates of postoperative patients were related to surgical volume. Low-volume hospitals (less than 33rd percentiles surgical volume per month) had higher mortality rates (5.7%, 95% confidence interval (CI), 3.9% to 7.4%) than mid- (2.9%, 95% CI, 2.6% to 3.3%) or high-volume hospitals (2.7%, 95% CI, 2.5% to 2.9%). Low-volume hospitals had more deaths among surgical inpatients with serious treatable complications (38.5%, 95% CI, 33.7% to 43.2%) than high-volume hospitals (21.4%, 95% CI, 19.0% to 23.9%). Also Low-volume hospitals had lower proportion of difficult surgeries (54.9%, 95% CI, 50.1% to 59.8%) compared with high-volume hospitals (63.4%, 95% CI, 62.3% to 64.6%). In low-volume hospitals, limited experience may have led to insufficient care for postoperative complications. CONCLUSIONS: We demonstrated that PSIs can be calculated using DPC/PDPS data and perioperative PSIs were related to hospital surgical volume. Further investigations focusing on identifying risk factors for poor PSIs and effective support to these hospitals are needed. BioMed Central 2014-02-28 /pmc/articles/PMC3942062/ /pubmed/24581330 http://dx.doi.org/10.1186/1756-0500-7-117 Text en Copyright © 2014 Kitazawa et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Kitazawa, Takefumi
Matsumoto, Kunichika
Fujita, Shigeru
Yoshida, Ai
Iida, Shuhei
Nishizawa, Hirotoshi
Hasegawa, Tomonori
Perioperative patient safety indicators and hospital surgical volumes
title Perioperative patient safety indicators and hospital surgical volumes
title_full Perioperative patient safety indicators and hospital surgical volumes
title_fullStr Perioperative patient safety indicators and hospital surgical volumes
title_full_unstemmed Perioperative patient safety indicators and hospital surgical volumes
title_short Perioperative patient safety indicators and hospital surgical volumes
title_sort perioperative patient safety indicators and hospital surgical volumes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3942062/
https://www.ncbi.nlm.nih.gov/pubmed/24581330
http://dx.doi.org/10.1186/1756-0500-7-117
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