- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01399567
Nursing Home Pain Management Algorithm Clinical Trial
July 21, 2011 updated by: Swedish Medical Center
Pain assessment and management deficiencies in nursing homes (NHs) are well documented.
Unrelieved pain in this setting results in poorer resident outcomes, including depression, decreased mobility, sleep disturbance, and impaired physical and social functioning.
This randomized controlled trial will evaluate the efficacy of a pain management algorithm coupled with intense diffusion strategies in improving pain, physical function and depression among NH residents.
Specific aims of the study are to: 1) Evaluate the effectiveness of a pain management algorithm (ALG) coupled with intense diffusion strategies, as compared with pain education (EDU) and weak diffusion strategies, in improving pain, mobility, and depression among NH residents; 2) Determine the extent to which adherence to the ALG and organizational factors are associated with changes in resident outcomes and the extent to which changes in these variables are associated with changes in outcomes; 3) Evaluate the persistence of changes in process and outcome variables at long-term follow-up and 4) Evaluate the relationships among behavioral problems and pain in severely cognitively impaired residents who are unable to provide self-report.
Study Overview
Detailed Description
Inadequate pain management in nursing homes (NHs) is well documented.
Unrelieved pain in this setting results in depression, decreased mobility, sleep disturbance, and impaired physical and social functioning.
This randomized controlled trial will evaluate the efficacy of a pain management algorithm delivered using intense diffusion strategies.
Outcomes are facility pain practices and residents' pain, physical function and depression.
Specific aims of the study are to: 1) Evaluate the effectiveness of a pain management algorithm (ALG) coupled with intense diffusion strategies, as compared with pain education (EDU) and weak diffusion strategies, in improving pain, mobility, and depression among NH residents; 2) Determine the extent to which adherence to the ALG and organizational factors are associated with changes in resident outcomes and the extent to which changes in these variables are associated with changes in outcomes; 3) Evaluate the persistence of changes in process and outcome variables at long-term follow-up and 4) Evaluate the relationships among behavioral problems and pain in severely cognitively impaired residents who are unable to provide self-report.
Study Type
Interventional
Enrollment (Actual)
396
Phase
- Phase 2
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
-
-
Washington
-
Seattle, Washington, United States, 98014
- Swedish Medical Center
-
-
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
65 years and older (Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
Inclusion Criteria:
- long-term nursing home residents,
- 65 years and older,
- with moderate or greater pain in the week prior to screening,
- residing in a participating facility,
- who consent to participate (or whose surrogate decisionmaker consents to participation)
Exclusion Criteria:
- short-term stay patients,
- persons less than 65 years,
- residents on hospice
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
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Algorithm
The NH pain management algorithm is a series of decision-making tools that begins with regular, comprehensive pain assessment matched to residents' cognitive status and proceed through analgesic therapy appropriate to the character, severity, and pattern of pain.
The algorithm is coupled with intense diffusion strategies (e.g., education, consultation, boosters) to increase adoption of these evidence-based practices
|
The NH pain management algorithm is a series of decision-making tools that begin with regular, comprehensive pain assessment matched to residents' cognitive status and proceed through analgesic therapy appropriate to the character, severity, and pattern of pain.
|
|
Active Comparator: Control
Control sites received staff education for pain assessment and management comprised of four one-hour classes
|
The NH pain management algorithm is a series of decision-making tools that begin with regular, comprehensive pain assessment matched to residents' cognitive status and proceed through analgesic therapy appropriate to the character, severity, and pattern of pain.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change from Baseline in Pain at 3 months
Time Frame: 3 months
|
Brief Pain Inventory (self-reporting participants) Nursing Assistant Surrogate Report
|
3 months
|
|
Change from Baseline in Pain at 6 months
Time Frame: 6 months post intervention
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Brief Pain Inventory (self-reporting participants) Nursing Assistant Surrogate Report
|
6 months post intervention
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change from Baseline in Mobility at 3 months
Time Frame: 3 months
|
Functional independence measure - locomotion
|
3 months
|
|
Change from Baseline in Agitation at 6 months
Time Frame: 6 months
|
Pittsburgh Agitation Scale
|
6 months
|
|
Change from Baseline Adherence to Best Practices at 3 months
Time Frame: 3 months
|
Pain Management Chart audit Tool; 17 item tool evalauting staff adherence to recommended pain assessment and management practices
|
3 months
|
|
Change from Baseline in Depression at 3 months
Time Frame: 3 months
|
Cornell Scale for Depression in Dementia
|
3 months
|
|
Change from Baseline in Depression at 6 months
Time Frame: 6 months post intervention
|
Cornell Scale for Depression in Dementia
|
6 months post intervention
|
|
Change from Baseline in Mobility at 6 months
Time Frame: 6 months post-intervention
|
Functional independence measure - locomotion
|
6 months post-intervention
|
|
Change from Baseline in Adherence to Best Practices at 6 months
Time Frame: 6 months post-intervention
|
Pain Management Chart audit Tool; 17 item tool evalauting staff adherence to recommended pain assessment and management practices
|
6 months post-intervention
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Mary Ersek, PhD, University of Pennsylvania
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.
General Publications
- Jablonski AM, DuPen AR, Ersek M. The use of algorithms in assessing and managing persistent pain in older adults. Am J Nurs. 2011 Mar;111(3):34-43; quiz 44-5. doi: 10.1097/10.1097/01.NAJ.0000395239.60981.2f.
- Ersek M, Polissar N, Neradilek MB. Development of a composite pain measure for persons with advanced dementia: exploratory analyses in self-reporting nursing home residents. J Pain Symptom Manage. 2011 Mar;41(3):566-79. doi: 10.1016/j.jpainsymman.2010.06.009. Epub 2010 Nov 20.
- Ersek M, Herr K, Neradilek MB, Buck HG, Black B. Comparing the psychometric properties of the Checklist of Nonverbal Pain Behaviors (CNPI) and the Pain Assessment in Advanced Dementia (PAIN-AD) instruments. Pain Med. 2010 Mar;11(3):395-404. doi: 10.1111/j.1526-4637.2009.00787.x. Epub 2010 Jan 15.
- Jablonski A, Ersek M. Nursing home staff adherence to evidence-based pain management practices. J Gerontol Nurs. 2009 Jul;35(7):28-34; quiz 36-7. doi: 10.3928/00989134-20090428-03.
- Ersek M, Neradilek MB, Herr K, Jablonski A, Polissar N, Du Pen A. Pain Management Algorithms for Implementing Best Practices in Nursing Homes: Results of a Randomized Controlled Trial. J Am Med Dir Assoc. 2016 Apr 1;17(4):348-56. doi: 10.1016/j.jamda.2016.01.001. Epub 2016 Feb 17.
- Ersek M, Polissar N, Pen AD, Jablonski A, Herr K, Neradilek MB. Addressing methodological challenges in implementing the nursing home pain management algorithm randomized controlled trial. Clin Trials. 2012 Oct;9(5):634-44. doi: 10.1177/1740774512454243. Epub 2012 Aug 9.
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
September 1, 2006
Primary Completion (Actual)
November 1, 2009
Study Completion (Actual)
January 1, 2010
Study Registration Dates
First Submitted
June 23, 2011
First Submitted That Met QC Criteria
July 21, 2011
First Posted (Estimate)
July 22, 2011
Study Record Updates
Last Update Posted (Estimate)
July 22, 2011
Last Update Submitted That Met QC Criteria
July 21, 2011
Last Verified
July 1, 2011
More Information
Terms related to this study
Other Study ID Numbers
- 5R01NR009100 (U.S. NIH Grant/Contract)
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.
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