OBJECTIVE: To determine if type of hospital ownership is associated with pr
eventable adverse events.
DESIGN:Medical record review of a random sample of 15,000 nonpsychiatric, n
on-Veterans Administration hospital discharges in Utah and Colorado in 1992
.
MEASUREMENTS AND MAIN RESULTS: A two-stage record review process using nurs
e and physician reviewers was used to detect adverse events. Preventability
was then judged by 2 study investigators who were blinded to hospital char
acteristics. The association among preventable adverse events and hospital
ownership was evaluated using logistic regression with nonprofit hospitals
as the reference group while controlling for other patient and hospital cha
racteristics. Wc analyzed 4 hospital ownership categories: nonprofit, for-p
rofit, major teaching government (e.g., county or state ownership), and min
or or nonteaching government.
RESULTS: When compared with patients in nonprofit hospitals, multivariate a
nalyses adjusting for other patient and hospital characteristics found that
patients in minor or nonteaching government hospitals were more likely to
suffer a preventable adverse event of any type (odds ratio [OR] 2.46; 95% c
onfidence interval [CI], 1.45 to 4.20); preventable operative adverse event
s (OR, 4.85; 95% CI, 2.44 to 9.62); and preventable adverse events due to d
elayed diagnoses and therapies (OR, 4.27; 95% CI, 1.48 to 12.31). Patients
in for profit hospitals were also more likely to suffer preventable adverse
events of any type (OR, 1.57; 95% CI, 1.03 to 2.38); preventable operative
adverse events (OR, 2.63; 95% CI, 1.42 to 4.87); and preventable adverse e
vents due to delayed diagnoses and therapies (OR, 4.15; 95% CI, 1.84 to 9.3
4). Patients in major teaching government hospitals were less likely to suf
fer preventable adverse drug events (OR, 0.38; 95% CI, 0.16 to 0.89).
CONCLUSIONS: Patients in for-profit and minor teaching or nonteaching gover
nment-owned hospitals were more likely to suffer several types of preventab
le adverse events. Further research is needed to determine how these events
could be prevented.