Literature DB >> 15466145

Cause-and-effect analysis of risk management files to assess patient care in the emergency department.

Andrew A White1, Seth W Wright, Roberto Blanco, Brent Lemonds, Janice Sisco, Sandy Bledsoe, Cindy Irwin, Jennifer Isenhour, James W Pichert.   

Abstract

OBJECTIVES: Identifying the etiologies of adverse outcomes is an important first step in improving patient safety and reducing malpractice risks. However, relatively little is known about the causes of emergency department-related adverse outcomes. The objective was to describe a method for identification of common causes of adverse outcomes in an emergency department. This methodology potentially can suggest ways to improve care and might provide a model for identification of factors associated with adverse outcomes.
METHODS: This was a retrospective analysis of 74 consecutive files opened by a malpractice insurer between 1995 and 2000. Each risk-management file was analyzed to identify potential causes of adverse outcomes. The main outcomes were rater-assigned codes for alleged problems with care (e.g., failures of communication or problems related to diagnosis).
RESULTS: About 50% of cases were related to injuries or abdominal complaints. A contributing cause was found in 92% of cases, and most had more than one contributing cause. The most frequent contributing categories included failure to diagnose (45%), supervision problems (31%), communication problems (30%), patient behavior (24%), administrative problems (20%), and documentation (20%). Specific relating factors within these categories, such as lack of timely resident supervision and failure to follow policies and procedures, were identified.
CONCLUSIONS: This project documented that an aggregate analysis of risk-management files has the potential to identify shared causes related to real or perceived adverse outcomes. Several potentially correctable systems problems were identified using this methodology. These simple, descriptive management tools may be useful in identifying issues for problem solving and can be easily learned by physicians and managers.

Entities:  

Mesh:

Year:  2004        PMID: 15466145     DOI: 10.1197/j.aem.2004.04.012

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  6 in total

1.  Emergency department crowding and risk of preventable medical errors.

Authors:  Stephen K Epstein; David S Huckins; Shan W Liu; Daniel J Pallin; Ashley F Sullivan; Robert I Lipton; Carlos A Camargo
Journal:  Intern Emerg Med       Date:  2011-10-19       Impact factor: 3.397

2.  Artificial neural network modeling enhances risk stratification and can reduce downstream testing for patients with suspected acute coronary syndromes, negative cardiac biomarkers, and normal ECGs.

Authors:  Hussain A Isma'eel; Paul C Cremer; Shaden Khalaf; Mohamad M Almedawar; Imad H Elhajj; George E Sakr; Wael A Jaber
Journal:  Int J Cardiovasc Imaging       Date:  2015-12-01       Impact factor: 2.357

3.  Evaluation of patient handoff methods on an inpatient teaching service.

Authors:  Steven R Craig; Hayden L Smith; A Matthew Downen; W John Yost
Journal:  Ochsner J       Date:  2012

4.  Anaesthesiology students' Non-Technical skills: development and evaluation of a behavioural marker system for students (AS-NTS).

Authors:  Parisa Moll-Khosrawi; Anne Kamphausen; Wolfgang Hampe; Leonie Schulte-Uentrop; Stefan Zimmermann; Jens Christian Kubitz
Journal:  BMC Med Educ       Date:  2019-06-13       Impact factor: 2.463

5.  Emergency Department and Urgent Care Medical Malpractice Claims 2001-15.

Authors:  Kelly E Wong; P Divya Parikh; Kwon C Miller; Mark R Zonfrillo
Journal:  West J Emerg Med       Date:  2021-02-15

6.  Using risk management files to identify and address causative factors associated with adverse events in pediatrics.

Authors:  Paul D Hain; James W Pichert; Gerald B Hickson; Sandra H Bledsoe; David Hamming; Jacob Hathaway; Carolyn Nguyen
Journal:  Ther Clin Risk Manag       Date:  2007-08       Impact factor: 2.423

  6 in total

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