Pain documentation and predictors of analgesic prescribing for elderly patients during emergency department visits.
BACKGROUND
Inappropriate pain documentation is likely to be an important contributor to the poor management of pain in elderly patients in the emergency department (ED). Failure to assess pain limits ability to treat pain.


OBJECTIVE
The objectives of this study were to examine the relationship between visit characteristics of elderly patients and pain score documentation in the ED, and to determine predictors of analgesic use in the ED.


METHODS
This was a cross-sectional analysis of documented ED visits by elderly patients from the National Hospital Ambulatory Medical Care Survey (2003-2006). The study included 5661 ED visits by patients aged 65 years and older, representing an estimated 18 million ED visits during the four-year study period. Univariate logistic regression was used to analyze associations among independent variables and documentation of pain. Multivariate logistic regression was used to determine whether nonopioid and opioid analgesic prescribing disparities existed and were associated with pain level.


RESULTS
Pain score documentation was found to be suboptimal in the elderly population in this study, with only 75% of visits having documented pain scores. Older age, self-pay, patients residing in the Western region of the United States, and emergent ED visits were associated with decreased pain score documentation. Documentation of pain score was associated with increased odds of an analgesic prescription and opioid analgesic prescription. Odds of prescribing an opioid increased significantly with increasing level of pain severity.


CONCLUSIONS
ED pain score documentation is suboptimal in the elderly population. Disparity in the use of analgesic prescriptions and opioid analgesics exists and may result in patients not receiving analgesics. Improving pain assessment and documentation, changes in attitude toward analgesic prescribing, and recognition of ethnic, racial, and age differences in patients with pain have the potential to contribute to effective management of pain in the ED.
Health Management Analytics, CVS|Caremark Inc., Northbrook, Illinois 60062, USA. graviyera@gmail.com
Ravi G
RG
Iyer
D000368:Aged; D000369:Aged, 80 and over; D000700:Analgesics / Q000627:therapeutic use*; D004363:Drug Utilization / Q000706:statistics & numerical data*; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data*; D005260:Female; D019538:Health Care Surveys; D006801:Humans; D016015:Logistic Models; D008297:Male; D010146:Pain / Q000188:drug therapy*; D010147:Pain Measurement; D010818:Practice Patterns, Physicians' / Q000706:statistics & numerical data*; D014481:United States / Q000453:epidemiology
D000700:Analgesics