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Education-only versus a multifaceted intervention for improving assessment of rehabilitation needs after stroke; a cluster randomised trial

Overview of attention for article published in Implementation Science, September 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Education-only versus a multifaceted intervention for improving assessment of rehabilitation needs after stroke; a cluster randomised trial
Published in
Implementation Science, September 2016
DOI 10.1186/s13012-016-0487-2
Pubmed ID
Authors

Elizabeth A. Lynch, Dominique A. Cadilhac, Julie A. Luker, Susan L. Hillier

Abstract

In 2011, more than half of the patients with stroke in Australian hospitals were not assessed for the need for rehabilitation. Further, there were no recommended criteria to guide rehabilitation assessment decisions. Subsequently, a decision-making tool called the Assessment for Rehabilitation Tool (ART) was developed. The ART was designed to assist Australian hospital clinicians to identify the rehabilitation needs of patients with stroke using evidence-based criteria. The ART was released and made freely available for use in 2012. This study evaluated the effectiveness of an education-only intervention (1 onsite education session and distribution of the ART) and a multifaceted intervention (2 or more onsite education sessions, distribution of the ART, audit and feedback, barrier identification, site-specific strategy development, promotion of interdisciplinary teamwork, opinion leaders and reminders) for improving assessments of rehabilitation needs after stroke. Ten hospitals in 2 states of Australia were randomly assigned to an education-only or a multifaceted intervention. Medical records were audited by assessors blinded to group allocation before and after the implementation period. Difference in the proportion of patients assessed for rehabilitation before and after the intervention was analysed using mixed-effects logistic regression analysis, with time period as the dependent variable, an interaction between intervention type and time included to test for differences between the interventions, and hospital included as the random effect to account for patient clustering. Data from 586 patients (284 pre-intervention; 302 post-intervention; age 76 years, 59 % male) showed that the multifaceted intervention was not more effective than education-only in improving the proportion of patients whose rehabilitation needs were assessed (reference category education-only; odds ratio 1.29, 95 % confidence interval 0.63-2.67, p = 0.483). Post-intervention, the odds of a patient's rehabilitation needs being assessed was 3.69 times greater than pre-intervention (95 % confidence interval 2.57-5.30, p < 0.001). Evidence-based criteria were not consistently used when patients were deemed to have no rehabilitation needs. A multifaceted intervention was not more effective than education-only in improving the assessment of rehabilitation needs of patients with stroke. Further interventions are required to ensure that all patients are assessed for the need for rehabilitation using evidence-based criteria. ANZCTR (Australian New Zealand Clinical Trials Registry), ACTRN12616000340437.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Switzerland 1 <1%
Unknown 99 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 13%
Student > Master 12 12%
Student > Bachelor 11 11%
Researcher 8 8%
Other 5 5%
Other 17 17%
Unknown 35 35%
Readers by discipline Count As %
Medicine and Dentistry 16 16%
Nursing and Health Professions 13 13%
Psychology 8 8%
Social Sciences 5 5%
Neuroscience 4 4%
Other 15 15%
Unknown 40 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 September 2016.
All research outputs
#4,158,833
of 23,270,775 outputs
Outputs from Implementation Science
#826
of 1,728 outputs
Outputs of similar age
#70,490
of 395,928 outputs
Outputs of similar age from Implementation Science
#30
of 56 outputs
Altmetric has tracked 23,270,775 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,728 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 395,928 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.