Nursing Home Pain Management Algorithm Clinical Trial

Completed · Phase 2

Conditions studied: Pain

In brief

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.

Key facts

Study ID

NCT01399567

Run by

Swedish Medical Center

People needed

396

Starts

2006-09-01

Expected to finish

2010-01-01

Last updated by the study team

2011-07-22

Who can join

Age: 65 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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)

You may not qualify if…

• short-term stay patients,
• persons less than 65 years,
• residents on hospice

Where it is running

• Swedish Medical Center — Seattle, Washington, United States

Full record on ClinicalTrials.gov

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