Predictors of depression screening rates of nurses receiving a personal digital assistant-based reminder to screen.
The purpose of this study was to determine if race/ethnicity, payer type, or nursing specialty affected depression screening rates in primary care settings in which nurses received a reminder to screen. The sample comprised 4,160 encounters in which nurses enrolled in advanced practice training were prompted to screen for depression using the Patient Health Questionnaire (PHQ)-2/PHQ-9 integrated into a personal digital assistant-based clinical decision support system for depression screening and management. Nurses chose to screen in response to 52.5% of reminders. Adjusted odds ratios showed that payer type and nurse specialty, but not race/ethnicity, significantly predicted proportion of patients screened.
Schnall
Rebecca
R
School of Nursing, Columbia University, 617 W. 168th Street, New York, NY 10032, USA. rb897@columbia.edu
Currie
Leanne M
LM
Jia
Haomiao
H
John
Rita Marie
RM
Lee
Nam-Ju
NJ
Velez
Olivia
O
Bakken
Suzanne
S
D034201:Computers, Handheld; D003863:Depression / Q000175:diagnosis*; D005006:Ethnicity / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D019458:Insurance Coverage / Q000706:statistics & numerical data; D008297:Male; D009726:Nurses / Q000458:organization & administration*; D011320:Primary Health Care / Q000458:organization & administration*; D044469:Racial Groups / Q000706:statistics & numerical data; D017010:Reminder Systems / Q000295:instrumentation*; D012959:Socioeconomic Factors; D013041:Specialties, Nursing / Q000706:statistics & numerical data