Evidence map›Paper›PMID 42815028›Full record

ArticleJMIR research protocols2026

Testing the Implementation of the PAIN-CPG-EIT: Protocol for a Randomized Clinical Trial.

Barbara Resnick, Elizabeth Galik, Rachel McPherson, Nayeon Kim, Shijun Zhu

Abstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Barbara Resnick *University of Maryland, Baltimore, 655 West Lombard Street, Baltimore, MD, 21201, United States, 1 4438122735, 1 4435724338.ORCID http://orcid.org/0000-0002-2839-5783
Elizabeth Galik *University of Maryland, Baltimore, 655 West Lombard Street, Baltimore, MD, 21201, United States, 1 4438122735, 1 4435724338.ORCID http://orcid.org/0000-0002-7337-8018
Rachel McPherson *University of Maryland, Baltimore, 655 West Lombard Street, Baltimore, MD, 21201, United States, 1 4438122735, 1 4435724338.ORCID http://orcid.org/0000-0002-0159-6120
Nayeon Kim *University of Maryland, Baltimore, 655 West Lombard Street, Baltimore, MD, 21201, United States, 1 4438122735, 1 4435724338.ORCID http://orcid.org/0000-0003-1969-5132
Shijun Zhu *University of Maryland, Baltimore, 655 West Lombard Street, Baltimore, MD, 21201, United States, 1 4438122735, 1 4435724338.

Funding

Testing the Pain-CPG-EITR01AG082676 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI RESNICK, BARBARA · 2023 to 2024
$852k
NIA NIH HHS R01 AG082676
6 · The paper itself

Abstract

Background: Pain is a common symptom among older adults in nursing home settings, affecting 30% to 80% of residents living with dementia. Pain is not assessed; the underlying cause is not identified, and treatment is not initiated for a large percentage of residents. Untreated or overtreated pain can lower quality of life, negatively impact function, impair sleep, and increase behavioral and psychological symptoms associated with dementia. Objective: The purpose of this National Institute of Aging-funded study is to use our theoretically based approach that includes the social ecological model, social cognitive theory, and the evidence integration triangle to translate the use of the Pain Management Clinical Practice Guideline (Pain Management CPG) into nursing home settings and improve the assessment, diagnosis, and management of pain among residents living with dementia. Our theoretically based approach, combined with the Pain Management CPG, is referred to as PAIN-CPG-EIT (Pain-Clinical Practice Guideline-Using the Evidence Integration Triangle). Methods: The study is a cluster-randomized clinical trial, with communities assigned to receive treatment with the PAIN-CPG-EIT vs pain education only (EO). The nursing homes have been randomized equally into intervention and control groups. The goal is to recruit a total of 300 residents from 12 nursing homes (25 residents from each community). Implementation of the study is being done via 3 cohorts, with 4 communities included in each cohort. The PAIN-CPG-EIT is implemented by a research nurse facilitator and includes 4 components, namely, component I: establishing and meeting with a stakeholder team; component II: education of the staff; component III: mentoring and motivating the staff to address pain; and component IV: ongoing monitoring of pain management in the community. The EO intervention is also implemented by a research nurse facilitator and consists of component II only, which is education of the staff. Results: Study activities began in September 2023, and recruitment of residents and intervention activities started with cohort 1 in January 2024. Cohort 2 was initiated in February 2025, and cohort 3 was initiated in June 2026 and is currently ongoing. A total of 208 residents have been recruited from the first 10 study sites. All intervention activities have been implemented as intended. The study is expected to be completed by December 2027. Conclusions: Outcomes are evaluated at baseline, 4 months, and 12 months after implementation of the intervention, and include improvement in the assessment, diagnosis, and management of pain; a decrease in pain; and evidence of more appropriate use of opioids. The findings from this study will provide evidence of the effectiveness of our implementation approach and use of the Pain Management CPG. The theoretically based approach may be useful for the implementation of other CPGs in nursing homes.

Indexed as

Pain ManagementAgedDementiaFemaleHumansMaleNursing HomesPainPain MeasurementPractice Guidelines as TopicQuality of LifeRandomized Controlled Trials as Topicdementianonpharmaceuticalnursing homepainpharmaceutical

Identifiers

PMID42815028
PMCPMC13626648

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.