Evidence map›Paper›PMID 31085096›Full record

ArticlePain management nursing : official journal of the American Society of Pain Management Nurses2019

Psychometric Evaluation of the MOBID Dementia Pain Scale in U.S. Nursing Homes.

Keela Herr, Justine S Sefcik, Moni Blazej Neradilek, Michelle M Hilgeman, Princess Nash, Mary Ersek

Open access · greenAbstract read
In one paragraph

Article in Pain management nursing : official journal of the American Society of Pain Management Nurses, 2019. 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
1.3field-weighted citation impact, top 19% 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, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Pain trajectories of nursing home residents.Journal of the American Geriatrics Society · 2023
    Article
  5. Article
  6. A Paradigm Shift for Movement-based Pain Assessment in Older Adults: Practice, Policy and Regulatory Drivers.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2021
    Review
  7. Article
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

6 authors at 6 institutions in 1 country.

Keela HerrUniversity of Iowa College of Nursing, Iowa City, Iowa.
Justine S SefcikNew Courtland Center for Transitions and Health, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania.
Moni Blazej NeradilekThe Mountain-Whisper-Light Statistics, Seattle, Washington.
Michelle M HilgemanTuscaloosa VA Medical Center, Tuscaloosa, Alabama; The University of Alabama Alabama Research Institute on Aging & Department of Psychology, Tuscaloosa, Alabama; Division of Gerontology, Geriatrics, and Palliative Care, University of Alabama at Birmingham, Birmingham, Alabama.
Princess NashTuscaloosa VA Medical Center, Tuscaloosa, Alabama.
Mary ErsekCorporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania; University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania. Electronic address: ersekm@upenn.edu.
Instituto de Montañas · USPhiladelphia VA Medical Center · USTuscaloosa VA Medical Center · USUniversity of Alabama · USUniversity of Iowa · USUniversity of Pennsylvania · US

Funding

Individualized Care for At Risk Older AdultsT32NR009356 · NINR · UNIVERSITY OF PENNSYLVANIA · PI Lauren M Massimo, MARY D NAYLOR · 2007 to 2026
$7.8M
Development of a Multidimensional Pain Measure for Persons with DementiaI01HX000507 · VA · TUSCALOOSA VETERANS AFFAIRS MEDICAL CTR · PI ERSEK, MARY, SNOW, A LYNN · 2013 to 2013
–
HSRD VA I01 HX000507NINR NIH HHS T32 NR009356RRD VA IK2 RX001824
6 · The paper itself

Abstract

purposeThe Mobilization-Observation-Behavior-Intensity-Dementia (MOBID) Pain Scale is an observational tool in which raters estimate pain intensity on a 0-10 scale following five standardized movements. The tool has been shown to be valid and reliable in northern European samples and could be useful in the United States (US) for research and clinical purposes. The goal of this study was to examine the validity and reliability of the MOBID among English-speaking nursing home residents in the US.

designCross-sectional study. SETTINGS: Sixteen nursing homes in Pennsylvania, New Jersey, Georgia and Alabama.

participantsOne hundred thirty-eight older adults with dementia and moderate to severe cognitive impairment.

methodsValidity was evaluated using Spearman correlations between the MOBID overall pain intensity score and 1) an expert clinician's pain intensity rating (ECPIR), 2) nursing staff surrogate pain intensity ratings, and 3) known correlates of pain. We assessed internal consistency by Cronbach's alpha.

resultsMOBID overall scores were significantly associated with expert clinician's rating of current and worst pain in the past week (rho = 0.54, and 0.57; p < .001, respectively). Statistically significant associations also were found between the MOBID overall score and nursing staff current and worst pain intensity ratings as well as the Cornell Scale for Depression in Dementia (rho = 0.29; p < .001). Internal consistency was acceptable (α = 0.83). CONCLUSIONS AND CLINICAL IMPLICATIONS: Result of this study support the use of the MOBID in English-speaking staff and residents in the US. Findings also suggest that the tool can be completed by trained, nonclinical staff.

Indexed as

AgedAged, 80 and overAlabamaDementiaFemaleGeorgiaHumansMaleMiddle AgedNew JerseyNursing HomesPain MeasurementPennsylvaniaPsychometricsReproducibility of ResultsUnited States

Identifiers

PMID31085096
PMCPMC6713270
OpenAlexW2943839306

What OpenQuestion holds

Textmetadata
LicenceTDM
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.