Literature DB >> 18641501

Effects of training on a simulator of pain care on the quality of pain care for patients with cancer-related pain.

Brian Harting1, Richard Abrams, Scott Hasler, Richard Odwazny, Robert McNutt.   

Abstract

CONTEXT: A computer simulator of pain care provided an environment for residents to learn to (1) rapidly induce pain relief; (2) measure pain scores at appropriate time intervals; (3) use induction doses to estimate, early in care, the long-acting pain medication requirements; and (4) escalate long-acting agents to ensure a smooth and nonvarying pain-control curve. We studied whether lessons learned on the simulator translated into improved pain control for patients with cancer-related pain crises. STUDY DESIGN AND MEASURES: We compared pain scores for 48 hours in 2 groups: 20 patients admitted consecutively, solely because of an acute exacerbation of pain, prior to training our residents on a simulator and 20 patients post-training. Training at the beginning of an oncology rotation consisted of education about pain control followed by practice on simulated cases of patients with cancer-related pain crises. Outcome measures were average pain scores compared using linear regression and the frequency of using long-acting agents early in a patient's care.
RESULTS: Pain control in the first 48 hours of care improved in the postintervention period; the slope of the pain scores actually increased in the preintervention period and declined in the postintervention period (P < .0005). Residents used long-acting agents early in patients' care in 35% (7/20) in the preperiod and 90% (18/20) in the postperiod (P < .001).
CONCLUSIONS: Residents developed pain care treatment skills on a computer-based simulator that translated into improved control of acute, cancer-related pain.

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Year:  2008        PMID: 18641501     DOI: 10.1097/01.QMH.0000326723.70708.44

Source DB:  PubMed          Journal:  Qual Manag Health Care        ISSN: 1063-8628            Impact factor:   0.926


  1 in total

1.  Learning optimal opioid prescribing and monitoring: a simulation study of medical residents.

Authors:  Thomas G Kannampallil; Robert McNutt; Suzanne Falck; William L Galanter; Dave Patterson; Houshang Darabi; Ashkan Sharabiani; Gordon Schiff; Richard Odwazny; Allen J Vaida; Diana J Wilkie; Bruce L Lambert
Journal:  JAMIA Open       Date:  2018-06-27
  1 in total

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