Management of Acute Pain in the Emergency Department

January 26, 2009 updated by: Centre Hospitalier Universitaire Vaudois

Management of Acute Pain in the Emergency Department:Impact of a Computer-Assisted Support

Oligoanalgesia1 has been widely recognized as an issue in emergency department.The purpose of our study is to assess the impact of the implementation of a computer-assisted support program to improve pain management in our ED.

Study Overview

Status

Completed

Conditions

Detailed Description

Inadequate pain management remains a major challenge for health care providers. Despite extensive research on the mechanisms of acute pain, identification of factors leading to poor pain management and development of evidence-based strategies, the transfer of this knowledge into effective clinical practices has been surprisingly slow. Oligoanalgesia1 has been widely recognized as an issue in emergency department (ED) patients. Acute pain is reported by 60-80% of ED inpatients but is frequently undertreated. Overall, an insufficient proportion of patients with acute pain receive any type of analgesia, and pain relief remains unsatisfactory. We showed that the implementation of guidelines improved pain management. However, rotation of the medical & nursing staff leads to the forgetting of guidelines. The purpose of our study is to assess the impact of the implementation of a computer-assisted support program to improve pain management in our ED.

Study Type

Observational

Enrollment (Actual)

631

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Vaud
      • Lausanne, Vaud, Switzerland, 1011
        • Centre Hospitalier Universitaire Vaudois

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

16 years and older (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Consecutive patients discharged from our ED who either had pain on admission or suffered of a new pain while in our ED

Description

Inclusion Criteria:

Any patient admitted to our Emergency Department who is

  • age > 16 years
  • pain lasting =< 1 week or
  • no pain on admission but pain during the ED stay

Exclusion Criteria:

  • life-threatening condition requiring immediate admission in the OR or ICU
  • no pain or pain lasting >1 week
  • inability to give informed consent (intoxicated, psychiatric disorder, language problem, prisoner)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
1
Pre-intervention patients admitted to our ED in the month prior to the intervention, before the 'computer-assisted decision support' is turned on (the intervention)
2
Short-term post-intervention cohort of patients admitted in the month following the initiation of the 'computer-assisted decision support' for pain management
at the end of the pre-intervention period, the patient flow software was modified to open popup windows automatically when pain intensity was not documented or pain was not reevaluated within the recommended interval. The popup window also detailed appropriate pain treatment guidelines based on the documented pain intensity. In addition, the patient's icon in the flow software changed from black to red when pain intensity was >4/10. After a 10-day test period, the post-intervention data collection started.
Other Names:
  • informatics
  • information technology
3
long-term post-intervention cohort of patients admitted on the 6th month following the initiation of the 'computer-assisted decision support' for pain management
at the end of the pre-intervention period, the patient flow software was modified to open popup windows automatically when pain intensity was not documented or pain was not reevaluated within the recommended interval. The popup window also detailed appropriate pain treatment guidelines based on the documented pain intensity. In addition, the patient's icon in the flow software changed from black to red when pain intensity was >4/10. After a 10-day test period, the post-intervention data collection started.
Other Names:
  • informatics
  • information technology

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Olivier W Hugli, MD,MPH, Centre Hospitalier Universiataire Vaudois

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

May 1, 2007

Study Completion (Actual)

September 1, 2008

Study Registration Dates

First Submitted

May 4, 2007

First Submitted That Met QC Criteria

May 4, 2007

First Posted (Estimate)

May 8, 2007

Study Record Updates

Last Update Posted (Estimate)

January 27, 2009

Last Update Submitted That Met QC Criteria

January 26, 2009

Last Verified

January 1, 2009

More Information

Terms related to this study

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Pain

Clinical Trials on computer-assisted decision support

Subscribe