Delay in seeking emergency care.
OBJECTIVE
To determine whether patient clinical and socioeconomic characteristics predict patient delay in coming to the emergency department (ED).


METHODS
Adult ED patients at five urban teaching hospitals were surveyed regarding self-reported delay in coming to the ED. Delay was measured by self-perception as well as by the number of days ill and unable to work. Patient socioeconomic and clinical characteristics were obtained by survey questionnaire and chart review. Cross-sectional analysis within a prospective study of 4,094 consecutive patients was performed using a subset of 1,920 patients (84% eligible rate) to whom questionnaires were administered.


RESULTS
Overall, 32% of the patients completing the survey reported delay in seeking ED care. Of these patients reporting delay, 71% thought their problem would go away or was not serious. Patients who were older, had higher acuity, or were frequent ED users reported less delay in coming to the ED, while patients without a regular physician or who were African American reported more delay. Perception of increased number of days ill prior to visiting the ED was reported by frequent ED users and those with worse baseline physical function, while patients who had higher acuity reported fewer days ill prior to coming to the ED.


CONCLUSIONS
A patient's decision to delay coming to the ED often reflects a belief that his or her illness is either self-limited or not serious. The decision to delay correlates with patient characteristics and access to a regular physician. The correlates of delay in seeking ED care may depend on the delay measure used. Better understanding of patients at risk for delaying care may influence interventions to reduce delay.
Rucker
D
D
Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Brennan
T
T
Burstin
H
H
D000328:Adult; D017677:Age Distribution; D000368:Aged; D001294:Attitude to Health; D003430:Cross-Sectional Studies; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data*; D005260:Female; D006304:Health Status; D006786:Hospitals, Urban; D006801:Humans; D007182:Income; D007348:Insurance, Health; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D012923:Social Class; D011795:Surveys and Questionnaires; D013997:Time Factors