Literature DB >> 22942123

Data-driven interdisciplinary interventions to improve inpatient pain management.

David L Reich1, Carol Porter, Matthew A Levin, Hung-Mo Lin, Kash Patel, Robert Fallar, Stelian Serban, Emily Chai, Ira S Nash, Maria Vezina, Jeffrey H Silverstein.   

Abstract

Pain during hospitalization and dissatisfaction with pain management are common. This project consisted of 4 phases: identifying a pain numeric rating scale (NRS) metric associated with patient satisfaction, identifying independent predictors of maximum NRS, implementing interventions, and evaluating trends in NRS and satisfaction. Maximum NRS was inversely associated with favorable pain satisfaction for both efficacy (n = 4062, χ(2) = 66.2, P < .001) and staff efforts (n = 4067, χ(2) = 30.3, P < .001). Independent predictors of moderate-to-severe maximum NRS were younger age, female sex, longer hospital stay, admitting department, psychoactive medications, and 10 diagnostic codes. After interventions, moderate-to-severe maximum NRS declined by 3.6% per quarter in 2010 compared with 2009. Satisfaction data demonstrated improvements in nursing units meeting goals (5.3% per quarter, r (2) = 0.67) and favorable satisfaction answers (0.36% per quarter, r (2) = 0.31). Moderate-to-severe maximum NRS was an independent predictor of lower likelihood of hospital discharge (likelihood ratio = 0.62; 95% confidence interval = 0.61-0.64). Targeted interventions were associated with improved inpatient pain management.

Entities:  

Keywords:  analgesia; pain management; patient satisfaction; quality management

Mesh:

Year:  2012        PMID: 22942123     DOI: 10.1177/1062860612457425

Source DB:  PubMed          Journal:  Am J Med Qual        ISSN: 1062-8606            Impact factor:   1.852


  1 in total

1.  Can Multidimensional Pain Assessment Tools Help Improve Pain Outcomes in the Perianesthesia Setting?

Authors:  Emily Petti; Clara Scher; Lauren Meador; Janet H Van Cleave; M Carrington Reid
Journal:  J Perianesth Nurs       Date:  2018-10       Impact factor: 1.084

  1 in total

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