Sins of omission: getting too little medical care may be the greatest threat to patient safety.
BACKGROUND
Little is known about the relative incidence of serious errors of omission versus errors of commission.


OBJECTIVE
To identify the most common substantive medical errors identified by medical record review.


METHODS
Retrospective cohort study.


METHODS
Twelve Veterans Affairs health care systems in 2 regions.


METHODS
Stratified random sample of 621 patients receiving care over a 2-year period.


METHODS
Classification of reported quality problems.


METHODS
Trained physicians reviewed the full inpatient and outpatient record and described quality problems, which were then classified as errors of omission versus commission.


RESULTS
Eighty-two percent of patients had at least 1 error reported over a 13-month period. The average number of errors reported per case was 4.7 (95% confidence intervals [CI]: 4.4, 5.0). Overall, 95.7% (95% CI: 94.9%, 96.4%) of errors were identified as being problems with underuse. Inadequate care for people with chronic illnesses was particularly common. Among errors of omission, obtaining insufficient information from histories and physicals (25.3%), inadequacies in diagnostic testing (33.9%), and patients not receiving needed medications (20.7%) were all common. Out of the 2,917 errors identified, only 27 were rated as being highly serious, and 26 (96%) of these were errors of omission.


CONCLUSIONS
While preventing iatrogenic injury resulting from medical errors is a critically important part of quality improvement, we found that the overwhelming majority of substantive medical errors identifiable from the medical record were related to people getting too little medical care, especially for those with chronic medical conditions.
Hayward
Rodney A
RA
Veterans Affairs Health Services Research & Development Center of Excellence, Ann Arbor, MI, USA. rhayward@umich.edu
Asch
Steven M
SM
Hogan
Mary M
MM
Hofer
Timothy P
TP
Kerr
Eve A
EA
D000208:Acute Disease; D002908:Chronic Disease; D006787:Hospitals, Veterans / Q000592:standards; D006801:Humans; D019300:Medical Errors / Q000145:classification* / Q000706:statistics & numerical data; D011787:Quality of Health Care; D012189:Retrospective Studies; D017751:Safety Management; D014481:United States; D014493:United States Department of Veterans Affairs