Nursing Home Pain Management Algorithm Clinical Trial
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Phase 2
Contacts and Locations
Study Locations
-
-
Washington
-
Seattle, Washington, United States, 98014
- Swedish Medical Center
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
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
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / 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
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
|
Brief Pain Inventory (self-reporting participants) Nursing Assistant Surrogate Report
|
6 months post intervention
|
Secondary Outcome Measures
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
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Mary Ersek, PhD, University of Pennsylvania
Publications and helpful links
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
Study Major Dates
Study Start
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Estimate)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- 5R01NR009100 (U.S. NIH Grant/Contract)
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