Title |
How to perform a root cause analysis for workup and future prevention of medical errors: a review
|
---|---|
Published in |
Patient Safety in Surgery, September 2016
|
DOI | 10.1186/s13037-016-0107-8 |
Pubmed ID | |
Authors |
Ryan Charles, Brandon Hood, Joseph M. Derosier, John W. Gosbee, Ying Li, Michelle S. Caird, J. Sybil Biermann, Mark E. Hake |
Abstract |
Providing quality patient care is a basic tenant of medical and surgical practice. Multiple orthopaedic programs, including The Patient Safety Committee of the American Academy of Orthopaedic Surgeons (AAOS), have been implemented to measure quality of surgical care, as well as reduce the incidence of medical errors. Structured Root Cause Analysis (RCA) has become a recent area of interest and, if performed thoroughly, has been shown to reduce surgical errors across many subspecialties. There is a paucity of literature on how the process of a RCA can be effectively implemented. The current review was designed to provide a structured approach on how to conduct a formal root cause analysis. Utilization of this methodology may be effective in the prevention of medical errors. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 28% |
Saudi Arabia | 2 | 11% |
France | 1 | 6% |
Ireland | 1 | 6% |
Unknown | 9 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 67% |
Practitioners (doctors, other healthcare professionals) | 4 | 22% |
Scientists | 2 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 244 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 46 | 19% |
Student > Bachelor | 38 | 16% |
Researcher | 15 | 6% |
Student > Doctoral Student | 15 | 6% |
Other | 11 | 5% |
Other | 41 | 17% |
Unknown | 78 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 57 | 23% |
Nursing and Health Professions | 41 | 17% |
Engineering | 9 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 8 | 3% |
Computer Science | 6 | 2% |
Other | 34 | 14% |
Unknown | 89 | 36% |