Reliable predictors of pain were identified by researchers from Mount Sinai School of Medicine.
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Researchers found patients who identified their pain during their hospital admission as moderate or severe were more likely to be younger, female, admitted for longer hospital stays, or using psychoactive medications. Level of pain was also found to vary depending on the department of the treating physician.
Patients treated by surgical services reported greater pain severity. Prior to identifying the predictors, patients undergoing lower extremity joint replacement in the Department of Orthopaedics reported an average pain level of 5, on a scale of 0 – 10, on the first day after surgery. After analyzing the predictive data, the interdisciplinary team introduced new protocols that altered the types of oral and intravenous medications given, and allowed use of epidural morphine outside of intensive care settings. The average reported pain level decreased to 3.
"The involvement of our nurses and doctors at the bedside in this study is a strength and demonstrates our commitment to understanding and improving pain management, said Carol Porter, DNP, RN, Chief Nursing Officer and a participating author of the study.
For the initial phases of the study, the researchers evaluated clinical and administrative data stored at Mount Sinai on 38,544 adult inpatients from January 2008 through April 2009, to identify a numeric scale of pain severity associated with patient satisfaction. They then developed a model to predict that metric of pain prior to or immediately upon admission to the hospital.
Using the results of the predictive model, an interdisciplinary pain management team developed and implemented practice-based and evidence-based intervention. The researchers then analyzed the responses to those interventions from January 2009 through March 2011, to determine the effect on pain severity and patient satisfaction.
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Source-Eurekalert