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Objective: To develop sedation, pain, and agitation quality measures using process control methodology and evaluate their properties in clinical practice.Design: 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.Setting: Eight Scottish ICUs over a 12-month period.Patients: Mechanically ventilated patients.Interventions: None.Measurements and Main Results: 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.Conclusions: 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]

Objectives: ICU survivors frequently report reduced health-related quality of life, but the relative importance of preillness versus acute illness factors in survivor populations is not well understood. We aimed to explore health-related quality of life trajectories over 12 months following ICU discharge, patterns of improvement, or deterioration over this period, and the relative importance of demographics (age, gender, social deprivation), preexisting health (Functional Comorbidity Index), and acute illness severity (Acute Physiology and Chronic Health Evaluation II score, ventilation days) as determinants of health-related quality of life and relevant patient-reported symptoms during the year following ICU discharge.Design: Nested cohort study within a previously published randomized controlled trial.Setting: Two ICUs in Edinburgh, Scotland.Patients: Adult ICU survivors (n = 240) who required more than 48 hours of mechanical ventilation.Interventions: None.Measurements and Main Results: We prospectively collected data for age, gender, social deprivation (Scottish index of multiple deprivation), preexisting comorbidity (Functional Comorbidity Index), Acute Physiology and Chronic Health Evaluation II score, and days of mechanical ventilation. Health-related quality of life (Medical Outcomes Study Short Form version 2 Physical Component Score and Mental Component Score) and patient-reported symptoms (appetite, fatigue, pain, joint stiffness, and breathlessness) were measured at 3, 6, and 12 months. Mean Physical Component Score and Mental Component Score were reduced at all time points with minimal change between 3 and 12 months. In multivariable analysis, increasing pre-ICU comorbidity count was strongly associated with lower health-related quality of life (Physical Component Score β = -1.56 [-2.44 to -0.68]; p = 0.001; Mental Component Score β = -1.45 [-2.37 to -0.53]; p = 0.002) and more severe self-reported symptoms. In contrast, Acute Physiology and Chronic Health Evaluation II score and mechanical ventilation days were not associated with health-related quality of life. Older age (β = 0.33 [0.19-0.47]; p < 0.001) and lower social deprivation (β = 1.38 [0.03-2.74]; p = 0.045) were associated with better Mental Component Score health-related quality of life.Conclusions: Preexisting comorbidity counts, but not severity of ICU illness, are strongly associated with health-related quality of life and physical symptoms in the year following critical illness. [ABSTRACT FROM AUTHOR]

Objectives: To describe the rationale, design and methodology for a trial of three novel interventions developed to improve sedation-analgesia quality in adult intensive care units (ICUs)., Participants and Setting: 8 clusters, each a Scottish ICU. All mechanically ventilated sedated patients were potentially eligible for inclusion in data analysis., Design: Cluster randomised design in 8 ICUs, with ICUs randomised after 45 weeks baseline data collection to implement one of four intervention combinations: a web-based educational programme (2 ICUs); education plus regular sedation quality feedback using process control charts (2 ICUs); education plus a novel sedation monitoring technology (2 ICUs); or all three interventions. ICUs measured sedation-analgesia quality, relevant drug use and clinical outcomes, during a 45-week preintervention and 45-week postintervention period separated by an 8-week implementation period. The intended sample size was >100 patients per site per study period., Main Outcome Measures: The primary outcome was the proportion of 12 h care periods with optimum sedation-analgesia, defined as the absence of agitation, unnecessary deep sedation, poor relaxation and poor ventilator synchronisation. Secondary outcomes were proportions of care periods with each of these four components of optimum sedation and rates of sedation-related adverse events. Sedative and analgesic drug use, and ICU and hospital outcomes were also measured., Analytic Approach: Multilevel generalised linear regression mixed models will explore the effects of each intervention taking clustering into account, and adjusting for age, gender and APACHE II score. Sedation-analgesia quality outcomes will be explored at ICU level and individual patient level. A process evaluation using mixed methods including quantitative description of intervention implementation, focus groups and direct observation will provide explanatory information regarding any effects observed., Conclusions: The DESIST study uses a novel design to provide system-level evaluation of three contrasting complex interventions on sedation-analgesia quality. Recruitment is complete and analysis ongoing., Trial Registration Number: NCT01634451., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)