Literature DB >> 19617381

A comparison of hospital adverse events identified by three widely used detection methods.

James M Naessens1, Claudia R Campbell, Jeanne M Huddleston, Bjorn P Berg, John J Lefante, Arthur R Williams, Richard A Culbertson.   

Abstract

OBJECTIVE: Determine the degree of congruence between several measures of adverse events.
DESIGN: Cross-sectional study to assess frequency and type of adverse events identified using a variety of methods.
SETTING: Mayo Clinic Rochester hospitals. PARTICIPANTS: All inpatients discharged in 2005 (n = 60 599).
INTERVENTIONS: Adverse events were identified through multiple methods: (i) Agency for Healthcare Research and Quality-defined patient safety indicators (PSIs) using ICD-9 diagnosis codes from administrative discharge abstracts, (ii) provider-reported events, and (iii) Institute for Healthcare Improvement Global Trigger Tool with physician confirmation. PSIs were adjusted to exclude patient conditions present at admission. MAIN OUTCOME MEASURE: Agreement of identification between methods.
RESULTS: About 4% (2401) of hospital discharges had an adverse event identified by at least one method. Around 38% (922) of identified events were provider-reported events. Nearly 43% of provider-reported adverse events were skin integrity events, 23% medication events, 21% falls, 1.8% equipment events and 37% miscellaneous events. Patients with adverse events identified by one method were not usually identified using another method. Only 97 (6.2%) of hospitalizations with a PSI also had a provider-reported event and only 10.5% of provider-reported events had a PSI.
CONCLUSIONS: Different detection methods identified different adverse events. Findings are consistent with studies that recommend combining approaches to measure patient safety for internal quality improvement. Potential reported adverse event inconsistencies, low association with documented harm and reporting differences across organizations, however, raise concerns about using these patient safety measures for public reporting and organizational performance comparison.

Entities:  

Mesh:

Year:  2009        PMID: 19617381     DOI: 10.1093/intqhc/mzp027

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  54 in total

1.  The Effect of Contact Precautions on Frequency of Hospital Adverse Events.

Authors:  Lindsay D Croft; Michael Liquori; James Ladd; Hannah Day; Lisa Pineles; Elizabeth Lamos; Ryan Arnold; Preeti Mehrotra; Jeffrey C Fink; Patricia Langenberg; Linda Simoni-Wastila; Eli Perencevich; Anthony D Harris; Daniel J Morgan
Journal:  Infect Control Hosp Epidemiol       Date:  2015-08-17       Impact factor: 3.254

2.  Detecting adverse events in surgery: comparing events detected by the Veterans Health Administration Surgical Quality Improvement Program and the Patient Safety Indicators.

Authors:  Hillary J Mull; Ann M Borzecki; Susan Loveland; Kathleen Hickson; Qi Chen; Sally MacDonald; Marlena H Shin; Marisa Cevasco; Kamal M F Itani; Amy K Rosen
Journal:  Am J Surg       Date:  2013-11-07       Impact factor: 2.565

3.  Development and performance of electronic acute kidney injury triggers to identify pediatric patients at risk for nephrotoxic medication-associated harm.

Authors:  E S Kirkendall; W L Spires; T A Mottes; J K Schaffzin; C Barclay; S L Goldstein
Journal:  Appl Clin Inform       Date:  2014-04-02       Impact factor: 2.342

4.  The impact of electronic medical records data sources on an adverse drug event quality measure.

Authors:  Michael G Kahn; Daksha Ranade
Journal:  J Am Med Inform Assoc       Date:  2010 Mar-Apr       Impact factor: 4.497

5.  Development of a trigger tool for the detection of adverse drug events in Chinese geriatric inpatients using the Delphi method.

Authors:  Qiaozhi Hu; Zhou Qin; Mei Zhan; Bin Wu; Zhaoyan Chen; Ting Xu
Journal:  Int J Clin Pharm       Date:  2019-06-28

6.  Awareness and utilization of reporting pathways for adverse events following immunization: online survey among pediatricians in Russia and Germany.

Authors:  Susann Muehlhans; Max von Kleist; Tatiana Gretchukha; Martin Terhardt; Ulrich Fegeler; Wolfgang Maurer; Leila Namazova-Baranova; Gerhard Gaedicke; Alexander Baranov; Barbara Rath
Journal:  Paediatr Drugs       Date:  2014-08       Impact factor: 3.022

7.  Using EHR Data to Detect Prescribing Errors in Rapidly Discontinued Medication Orders.

Authors:  Jonathan D Burlison; Robert B McDaniel; Donald K Baker; Murad Hasan; Jennifer J Robertson; Scott C Howard; James M Hoffman
Journal:  Appl Clin Inform       Date:  2018-01-31       Impact factor: 2.342

8.  Identification by families of pediatric adverse events and near misses overlooked by health care providers.

Authors:  Jeremy P Daniels; Kate Hunc; D Douglas Cochrane; Roxane Carr; Nicola T Shaw; Annemarie Taylor; Susan Heathcote; Rollin Brant; Joanne Lim; J Mark Ansermino
Journal:  CMAJ       Date:  2011-11-21       Impact factor: 8.262

9.  Safety of Psychiatric Inpatients at the Veterans Health Administration.

Authors:  Steven C Marcus; Richard C Hermann; Martin R Frankel; Sara W Cullen
Journal:  Psychiatr Serv       Date:  2017-10-16       Impact factor: 3.084

10.  Using structured telephone follow-up assessments to improve suicide-related adverse event detection.

Authors:  Sarah A Arias; Zi Zhang; Carla Hillerns; Ashley F Sullivan; Edwin D Boudreaux; Ivan Miller; Carlos A Camargo
Journal:  Suicide Life Threat Behav       Date:  2014-03-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.