Evidence map›Paper›PMID 33116808›Full record

ArticleJournal of pain research2020

Prevalence of Pain on Admission by Level of Cognitive Impairment in Nursing Homes.

Catherine E Dube, Reynolds A Morrison, Deborah S Mack, Bill M Jesdale, Anthony P Nunes, Shao-Hsien Liu, Kate L Lapane

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pain research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.3field-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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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.

Catherine E DubeDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.ORCID 0000-0003-2342-4538
Reynolds A MorrisonDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
Deborah S MackDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.ORCID 0000-0002-8619-0364
Bill M JesdaleDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
Anthony P NunesDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
Shao-Hsien LiuDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
Kate L LapaneDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.ORCID 0000-0001-9957-7747
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

purposeTo provide contemporary estimates of pain by level of cognitive impairment among US nursing home residents without cancer.

methodsNewly admitted US nursing home residents without cancer assessed with the Minimum Data Set 3.0 at admission (2010-2016) were eligible (n=8,613,080). The Cognitive Function Scale was used to categorize level of cognitive impairment. Self-report or staff-assessed pain was used based on a 5-day look-back period. Estimates of adjusted prevalence ratios (aPR) were derived from modified Poisson models.

resultsDocumented prevalence of pain decreased with increased levels of cognitive impairment in those who self-reported pain (68.9% no/mild, 32.9% severe) and those with staff-assessed pain (50.6% no/mild, 37.2% severe staff-assessed pain). Relative to residents with no/mild cognitive impairment, pharmacologic pain management was less prevalent in those with severe cognitive impairment (self-reported: 51.3% severe vs 76.9% in those with no/mild; staff assessed: 52.0% severe vs 67.7% no/mild).

conclusionPain was less frequently documented in those with severe cognitive impairment relative to those with no/mild impairments. Failure to identify pain may result in untreated or undertreated pain. Interventions to improve evaluation of pain in nursing home residents with cognitive impairment are needed.

Indexed as

cognitive impairmentdementianursing homespain

Identifiers

PMID33116808
PMCPMC7586014
OpenAlexW3092735398

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.