Evidence map›Paper›PMID 29552996›Full record

ArticleJournal of the International Neuropsychological Society : JINS2018

Clinical Predictors of Engagement in Inpatient Rehabilitation Among Stroke Survivors With Cognitive Deficits: An Exploratory Study.

Emily A Kringle, Lauren Terhorst, Meryl A Butters, Elizabeth R Skidmore

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PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the International Neuropsychological Society : JINS, 2018. 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
2.4field-weighted citation impact, top 12% 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, 31 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

4 authors at 1 institution in 1 country.

Emily A KringleDepartment of Occupational Therapy, School of Health and Rehabilitation Science, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID http://orcid.org/0000-0003-4958-9568
Lauren TerhorstDepartment of Occupational Therapy, School of Health and Rehabilitation Science, University of Pittsburgh, Pittsburgh, Pennsylvania.
Meryl A ButtersClinical and Translational Science Institute, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Elizabeth R SkidmoreDepartment of Occupational Therapy, School of Health and Rehabilitation Science, University of Pittsburgh, Pittsburgh, Pennsylvania.
University of Pittsburgh · US

Funding

Closing Gap in Stroke Rehabilitation: Early Intervention for Cognitive DisabilityR01HD074693 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SKIDMORE, ELIZABETH RENEE · 2013 to 2018
$2.6M
Guided Versus Directed Training in Acute Stroke RehabilitationR03HD073770 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SKIDMORE, ELIZABETH RENEE · 2012 to 2013
$148k
NICHD NIH HHS R01 HD074693NICHD NIH HHS R03 HD073770
6 · The paper itself

Abstract

objectivesThe purpose of this exploratory study was to identify clinical predictors that could distinguish clients' level of engagement in inpatient rehabilitation following stroke.

methodsThis is a secondary analysis of pooled data from three randomized controlled trials that examined the effects of a behavioral intervention. The sample (n=208) consisted of clients with stroke who had cognitive deficits (Quick-EXIT≥3) and were admitted to inpatient rehabilitation facilities associated with a university medical center. Individuals with pre-morbid dementia, aphasia and mood disorders were excluded. The Pittsburgh Rehabilitation Participation Scale was used to measure engagement. Clinical predictors were measured using the Functional Independence Measure, National Institutes of Health Stroke Scale, Repeatable Battery for the Assessment of Neuropsychological Status, selected subtests of the Delis-Kaplan Executive Function System, Patient Health Questionnaire-9, and Chedoke McMaster Stroke Assessment. Simple logistic regression identified individual clinical predictors associated with engagement. Hierarchical logistic regression identified the strongest predictors of engagement.

resultsImpairments in executive functions [mean D-KEFS, odds ratio (OR)=4.062; 95% confidence interval (CI)=.866, 19.051], impairments in visuospatial skills (RBANS Visuospatial Index Score, OR=3.940; 95% CI=1.317, 11.785), impairments in mood (Patient Health Questionnaire-9, OR=2.059, 95% CI=.953, 4.449), and male gender (OR=2.474; 95% CI=1.145, 5.374) predicted levels of engagement in inpatient rehabilitation after controlling for study intervention group, baseline stroke severity, and baseline disability.

conclusionsExecutive functions, visuospatial skills, mood, and gender distinguished individuals with high or low engagement in inpatient rehabilitation following stroke. Further studies should examine additional factors that may influence engagement (therapist-client relationship, treatment expectancy). (JINS, 2018, 24, 572-583).

Indexed as

Patient ParticipationStroke RehabilitationAffectCognitive DysfunctionExecutive FunctionHumansNeuropsychological TestsRandomized Controlled Trials as TopicSeverity of Illness IndexSex FactorsSpace PerceptionStrokeSurvivorsVisual PerceptionNeurological rehabilitationOccupational therapyPatient participationPhysical therapyStrokeStroke rehabilitation

Identifiers

PMID29552996
PMCPMC6035068
OpenAlexW2792447899

What OpenQuestion holds

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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.