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Development of Process Control Methodology for Tracking the Quality and Safety of Pain, Agitation, and Sedation Management in Critical Care Units.

Authors :
Walsh, Timothy S.
Kydonaki, Kalliopi
Lee, Robert J.
Everingham, Kirsty
Antonelli, Jean
Harkness, Ronald T.
Cole, Stephen
Quasim, Tara
Ruddy, James
McDougall, Marcia
Davidson, Alan
Rutherford, John
Richards, Jonathan
Weir, Christopher J.
Development and Evaluation of Strategies to Improve Sedation practice in inTensive care Study Investigators
Source :
Critical Care Medicine. Mar2016, Vol. 44 Issue 3, p564-574. 11p.
Publication Year :
2016

Abstract

<bold>Objective: </bold>To develop sedation, pain, and agitation quality measures using process control methodology and evaluate their properties in clinical practice.<bold>Design: </bold>A Sedation Quality Assessment Tool was developed and validated to capture data for 12-hour periods of nursing care. Domains included pain/discomfort and sedation-agitation behaviors; sedative, analgesic, and neuromuscular blocking drug administration; ventilation status; and conditions potentially justifying deep sedation. Predefined sedation-related adverse events were recorded daily. Using an iterative process, algorithms were developed to describe the proportion of care periods with poor limb relaxation, poor ventilator synchronization, unnecessary deep sedation, agitation, and an overall optimum sedation metric. Proportion charts described processes over time (2 monthly intervals) for each ICU. The numbers of patients treated between sedation-related adverse events were described with G charts. Automated algorithms generated charts for 12 months of sequential data. Mean values for each process were calculated, and variation within and between ICUs explored qualitatively.<bold>Setting: </bold>Eight Scottish ICUs over a 12-month period.<bold>Patients: </bold>Mechanically ventilated patients.<bold>Interventions: </bold>None.<bold>Measurements and Main Results: </bold>The Sedation Quality Assessment Tool agitation-sedation domains correlated with the Richmond Sedation Agitation Scale score (Spearman ρ = 0.75) and were reliable in clinician-clinician (weighted kappa; κ = 0.66) and clinician-researcher (κ = 0.82) comparisons. The limb movement domain had fair correlation with Behavioral Pain Scale (ρ = 0.24) and was reliable in clinician-clinician (κ = 0.58) and clinician-researcher (κ = 0.45) comparisons. Ventilator synchronization correlated with Behavioral Pain Scale (ρ = 0.54), and reliability in clinician-clinician (κ = 0.29) and clinician-researcher (κ = 0.42) comparisons was fair-moderate. Eight hundred twenty-five patients were enrolled (range, 59-235 across ICUs), providing 12,385 care periods for evaluation (range 655-3,481 across ICUs). The mean proportion of care periods with each quality metric varied between ICUs: excessive sedation 12-38%; agitation 4-17%; poor relaxation 13-21%; poor ventilator synchronization 8-17%; and overall optimum sedation 45-70%. Mean adverse event intervals ranged from 1.5 to 10.3 patients treated. The quality measures appeared relatively stable during the observation period.<bold>Conclusions: </bold>Process control methodology can be used to simultaneously monitor multiple aspects of pain-sedation-agitation management within ICUs. Variation within and between ICUs could be used as triggers to explore practice variation, improve quality, and monitor this over time. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00903493
Volume :
44
Issue :
3
Database :
Academic Search Index
Journal :
Critical Care Medicine
Publication Type :
Academic Journal
Accession number :
113323622
Full Text :
https://doi.org/10.1097/CCM.0000000000001463