Evidence map›Paper›PMID 26897592›Full record

Trial reportJournal of the American Medical Directors Association2016

Pain Management Algorithms for Implementing Best Practices in Nursing Homes: Results of a Randomized Controlled Trial.

Mary Ersek, Moni Blazej Neradilek, Keela Herr, Anita Jablonski, Nayak Polissar, Anna Du Pen

Open access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Medical Directors Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 7% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Algorithm-based pain management for people with dementia in nursing homes.The Cochrane database of systematic reviews · 2022
    Pooled it
  2. Article
  3. Review
  4. Pain and Associated Factors in Nursing Home Residents.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2023
    Article
  5. Article
  6. Article
  7. Update in Hospice and Palliative Care.Journal of palliative medicine · 2017
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 1 country.

Mary ErsekCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA; University of Pennsylvania School of Nursing, Philadelphia, PA. Electronic address: ersekm@nursing.upenn.edu.
Moni Blazej NeradilekThe Mountain-Whisper-Light Statistics, Seattle, WA.
Keela HerrAdult and Gerontology Nursing, College of Nursing, University of Iowa, Iowa City, IA.
Anita JablonskiCollege of Nursing, Seattle University, Seattle, WA.
Nayak PolissarThe Mountain-Whisper-Light Statistics, Seattle, WA.
Anna Du PenBainbridge Island, WA.
Instituto de Montañas · USPhiladelphia VA Medical Center · USSeattle University · USUniversity of Iowa · USVirginia Mason Bainbridge Island Medical Center · US

Funding

Nursing Home Pain Management Algorithm Clinical TrialR01NR009100 · NINR · SWEDISH MEDICAL CENTER, FIRST HILL · PI ERSEK, MARY · 2005 to 2009
$2.2M
NINR NIH HHS R01 NR009100NINR NIH HHS R01NR009100
6 · The paper itself

Abstract

objectiveTo enhance pain practices in nursing homes (NHs) using pain assessment and management algorithms and intense diffusion strategies.

designA cluster, randomized controlled trial. The intervention consisted of intensive training and support for the use of recommended pain assessment and management practices using algorithms (ALGs). Control facilities received pain education (EDU) only.

settingTwenty-seven NHs in the greater Puget Sound area participated. Facilities were diverse in terms of size, quality, and ownership.

participantsData were collected from 485 NH residents; 259 for the intervention and 226 for the control group. MEASUREMENTS: Resident outcomes were nursing assistant (proxy) report and self-reported resident pain intensity. Process outcomes were adherence to recommended pain practices. Outcomes were measured at baseline, completion of the intervention (ALG) or training (EDU), and again 6 months later.

resultsAmong 8 comparisons of outcome measures between ALG and EDU (changes in 4 primary pain measures compared at 2 postintervention time points) there was only 1 statistically significant but small treatment difference in proxy- or self-reported pain intensity. Resident-reported worst pain decreased by an average of 0.8 points from baseline to 6 months among the EDU group and increased by 0.2 points among the ALG (P = .005), a clinically nonsignificant difference. There were no statistically significant differences in adherence to clinical guideline practice recommendations between ALG and EDU following the intervention.

conclusionsFuture research needs to identify and test effective implementation methods for changing complex clinical practices in NHs, including those to reduce pain.

Indexed as

AlgorithmsNursing HomesAgedDiffusion of InnovationEvidence-Based MedicineFemaleGuideline AdherenceHumansMalePain ManagementPain MeasurementPalliative CareProcess Assessment, Health CareSwedenalgorithmclinical trialdiffusion of innovationsevidence-based practicenursing homesolder adultsPainpalliative care

Identifiers

PMID26897592
PMCPMC4988793
OpenAlexW2286834275

What OpenQuestion holds

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Registered trials

None linked

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.