Evidence map›Paper›PMID 32610321›Full record

ArticleDementia and geriatric cognitive disorders2020

Differences in Staff-Assessed Pain Behaviors among Newly Admitted Nursing Home Residents by Level of Cognitive Impairment.

Reynolds A Morrison, Bill M Jesdale, Catherine E Dubé, Anthony P Nunes, Carol A Bova, Shao-Hsien Liu, Kate L Lapane

Open access · bronzeAbstract read
In one paragraph

Article in Dementia and geriatric cognitive disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  5. Review
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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

7 authors at 1 institution in 1 country.

Reynolds A MorrisonDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Bill M JesdaleDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Catherine E DubéDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Anthony P NunesDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Carol A BovaSchool of Nursing, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Shao-Hsien LiuDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Kate L LapaneDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA, kate.lapane@umassmed.edu.
University of Massachusetts Chan Medical School · US

Funding

University of Massachusetts Center for Clinical and Translational ScienceTL1TR001454 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEWIS, BRIAN C · 2015 to 2024
$3.6M
Non-malignant Pain in Nursing Home ResidentsR01NR016977 · NINR · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LAPANE, KATE L · 2017 to 2021
$2.8M
NCATS NIH HHS TL1 TR001454NINR NIH HHS R01 NR016977
6 · The paper itself

Abstract

objectivePain is common among nursing home residents with cognitive impairment and dementia. Pain is often underdiagnosed and undertreated, which may lead to adverse health outcomes. Nonverbal behaviors are valid indicators of pain, but the extent to which these behavioral expressions vary across levels of cognitive impairment is unknown. This study sought to examine differences in the prevalence of pain behaviors among nursing home residents with varying levels of cognitive impairment.

methodsThe Minimum Data Set, version 3.0, was used to identify newly admitted nursing home residents with staff-assessed pain (2010-2016, n = 1,036,806). Staff-assessed pain behaviors included nonverbal sounds, vocal complaints, facial expressions, and protective body movements or postures over a 5-day look-back period for residents unable or unwilling to self-report pain. The Cognitive Function Scale was used to categorize residents as having no/mild, moderate, or severe cognitive impairment. Modified Poisson models provided adjusted prevalence ratios (aPR) and 95% CIs.

resultsCompared to residents with no/mild cognitive impairments (any pain: 48.1%), residents with moderate cognitive impairment (any pain: 42.4%; aPR: 0.94 [95% CI 0.93-0.95]) and severe cognitive impairment (any pain: 38.4%; aPR: 0.86 [95% CI 0.85-0.88]) were less likely to have any pain behavior documented. Vocal pain behaviors were common (43.5% in residents with no/mild cognitive impairment), but less so in those with severe cognitive impairment (20.1%). Documentation of facial expressions and nonverbal pain behaviors was more frequent for residents with moderate and severe cognitive impairment than those with no/mild cognitive impairment.

conclusionsThe prevalence of behaviors indicative of pain differs by level of cognitive impairment. Pain evaluation and management plays an important role in treatment and care outcomes. Future work should examine how practitioners' perceptions of pain behaviors influence their ratings of pain intensity and treatment choices.

Indexed as

Behavioral SymptomsCognitive DysfunctionAgedCorrelation of DataFemaleHumansMaleMental Status and Dementia TestsNursing HomesPainPain MeasurementSymptom AssessmentCognitive impairmentDementiaNursing homesPain

Identifiers

PMID32610321
PMCPMC7704920
OpenAlexW3040220875

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.