Elsevier

Journal of Critical Care

Volume 36, December 2016, Pages 207-211
Journal of Critical Care

Outcomes/Predictions
Results of implementing a pain management algorithm in intensive care unit patients: The impact on pain assessment, length of stay, and duration of ventilation

https://doi.org/10.1016/j.jcrc.2016.07.011Get rights and content

Abstract

Purpose

This study aimed to measure the impact of implementing a pain management algorithm in adult intensive care unit (ICU) patients able to express pain. No controlled study has previously evaluated the impact of a pain management algorithm both at rest and during procedures, including both patients able to self-report and express pain behavior, intubated and nonintubated patients, throughout their ICU stay.

Materials and methods

The algorithm instructed nurses to assess pain, guided them in pain treatment, and was implemented in 3 units. A time period after implementing the algorithm (intervention group) was compared with a time period the previous year (control group) on the outcome variables: pain assessments, duration of ventilation, length of ICU stay, length of hospital stay, use of analgesic and sedative medications, and the incidence of agitation events.

Results

Totally, 650 patients were included. The number of pain assessments was higher in the intervention group compared with the control group. In addition, duration of ventilation and length of ICU stay decreased significantly in the intervention group compared with the control group. This difference remained significant after adjusting for patient characteristics.

Conclusion

Several outcome variables were significantly improved after implementation of the algorithm compared with the control group.

Introduction

Many patients in intensive care units (ICUs) experience pain [1], [2]. Pain should be assessed routinely and repetitively [3] but is not always done [4]. Valid pain assessment tools are available and recommended [3], but a substantial proportion of ICU nurses do not use them [5]. When implementing these tools in clinical practice, knowledge deficits, resistance, and barriers against changing practice have been documented among clinicians [6], [7], [8], [9].

Clinical evidence-based algorithms are suitable for implementing pain management in clinical practice [10]. However, because an appropriate algorithm for adult ICU patients that included both pain assessment and pain management was not available, a comprehensive new algorithm was developed [11]. This algorithm was implemented in 3 units [12]. To our knowledge, no controlled studies have previously evaluated the impact of a pain management algorithm both at rest and during procedures [13], including both patients able to self-report and express pain behavior, intubated and nonintubated patients, throughout their ICU stay.

However, the implementation of a single pain assessment tool has been evaluated in several studies [14], [15], [16], [17]. Of note, not all ICU patients able to express pain were included in these studies. Other studies have evaluated the implementation of several assessment tools, including tools to assess pain, agitation, and delirium [18], [19], [20], [21]. When introducing several tools targeting different variables, it is difficult to evaluate the effect of implementing the pain assessment tools. Despite these limitations, these studies found a decrease in pain and agitation [17], [20], decreased duration of ventilation [15], [18], [19], [20], decreased length of ICU stay [14], [15], [18], [19], decreased length of hospital stay [18], a decrease in complications [15], nosocomial infections [20], decreased mortality [18], [19], more frequently charted pain assessments in the medical records [14], [15], [16], [17], [20], and better and more dedicated analgesia [14], [15], [16], [18], [20], [21].

Based on earlier research, the objective of the present study was to evaluate the use of a pain assessment and pain management algorithm in all groups of ICU patients able to express pain on pain assessments, duration of ventilation, length of ICU stay, length of hospital stay, use of analgesic and sedative medications, and the incidence of agitation events.

Section snippets

Development of the algorithm

A short, evidence-based algorithm was developed [11]. The algorithm instructed ICU nurses to assess patients' pain at least once a shift, both at rest and during turning [22], [23]. A numeric rating scale (NRS) was used when patients could self-report pain [24]. The behavioral pain scale (BPS) was used when patients were receiving mechanical ventilation and unable to self-report pain [25]. Finally, the BPS-NonIntubated (BPS-NI) was used when patients were not intubated but unable to self-report

Results

To ensure that there were at least 117 mechanically ventilated patients in each group, we included 650 patients overall. The intervention group (n = 398) and the control group (n = 252) were similar regarding sex, age, diagnoses, and use of ventilation. Patients in the intervention group had significantly lower disease severity (SAPS, 36 vs 40; P = .02) and lower nursing workload (NEMS, 31 vs 36; P < .001) compared with those in the control group (Table 1).

In the intervention group, 4223 pain

Discussion

To our knowledge, no controlled studies have previously evaluated the impact of a comprehensive pain management algorithm both at rest and during procedures, including both patients able to self-report and express pain behavior, intubated and nonintubated patients, throughout their ICU stay. The patient mix and the staff were the same for the 2 study periods, and the included units did not implement new medications or new procedures for weaning from mechanical ventilation between these 2 study

Conclusion

The implementation of a pain management algorithm in adult ICU patients able to express pain was associated with a higher number of pain assessments and a decreased duration of ventilation and length of ICU stay. This algorithm detects and treats pain at rest and during turning, based on the assessment of pain with validated tools specifically dedicated to patients' condition throughout their ICU stay (intubated/nonintubated and able/unable to self-report pain). These findings could have an

Acknowledgment

We would like to thank all the nurses who participated in and contributed to the study. We acknowledge the South-Eastern Norway Regional Health Authority, Østfold Hospital Trust, and Oslo University Hospital for funding the study.

References (43)

  • HJ Gerbershagen et al.

    Determination of moderate-to-severe postoperative pain on the numeric rating scale: a cut-off point analysis applying four different methods

    Br J Anaesth

    (2011)
  • DE Craven et al.

    Incidence and outcomes of ventilator-associated tracheobronchitis and pneumonia

    Am J Med

    (2013)
  • JY Lefrant et al.

    The daily cost of ICU patients: a micro-costing study in 23 French intensive care units

    Anaesth Crit Care Pain Med

    (2015)
  • AJ Rotondi et al.

    Patients' recollections of stressful experiences while receiving prolonged mechanical ventilation in an intensive care unit

    Crit Care Med

    (2002)
  • J Barr et al.

    Clinical practice guidelines for the management of pain, agitation, and delirium in adult patients in the intensive care unit

    Crit Care Med

    (2013)
  • JF Payen et al.

    Current practices in sedation and analgesia for mechanically ventilated critically ill patients: a prospective multicenter patient-based study

    Anesthesiology

    (2007)
  • L Rose et al.

    Critical care nurses' pain assessment and management practices: a survey in Canada

    Am J Crit Care

    (2012)
  • C Horbury et al.

    Influences of patient behavior on clinical nurses' pain assessment: implications for continuing education

    J Contin Educ Nurs

    (2005)
  • A De Jong et al.

    Decreasing severe pain and serious adverse events while moving intensive care unit patients: a prospective interventional study (the NURSE-DO project)

    Crit Care

    (2013)
  • L Rose et al.

    Behavioral pain assessment tool for critically ill adults unable to self-report pain

    Am J Crit Care

    (2013)
  • CBS Arbour et al.

    Impact of the implementation of the critical-care pain observation tool (CPOT) on pain management and clinical outcomes in mechanically ventilated trauma intensive care unit patients: a pilot study

    J Trauma Nurs

    (2011)
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    Disclosure of funding: the authors do not have any ethical conflicts or financial interests to disclose. South-Eastern Norway Regional Health Authority, Østfold Hospital Trust, and Oslo University Hospital funded this study.

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