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Impact of a transition nurse program on the prevention of thirty-day hospital readmissions of elderly patients discharged from short-stay units: study protocol of the PROUST stepped-wedge cluster…

Overview of attention for article published in BMC Geriatrics, March 2016
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2 tweeters

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10 Dimensions

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Title
Impact of a transition nurse program on the prevention of thirty-day hospital readmissions of elderly patients discharged from short-stay units: study protocol of the PROUST stepped-wedge cluster randomised trial
Published in
BMC Geriatrics, March 2016
DOI 10.1186/s12877-016-0233-2
Pubmed ID
Authors

Pauline Occelli, Sandrine Touzet, Muriel Rabilloud, Christell Ganne, Stéphanie Poupon Bourdy, Béatrice Galamand, Matthieu Debray, André Dartiguepeyrou, Michel Chuzeville, Brigitte Comte, Basile Turkie, Magali Tardy, Jean-Stéphane Luiggi, Thierry Jacquet-Francillon, Thomas Gilbert, Marc Bonnefoy

Abstract

In France, for patients aged 75 or older, it has been estimated that the hospital readmission rate within 30 days is 14 %, a quarter being avoidable. Some evidence suggests that interventions "bridging" the transition from hospital to home and involving a designated professional (usually nurses) are the most effective in reducing the risk of readmission, but the level of evidence of current studies is low. Our study aims to assess the impact of a care transition program from hospital to home for elderly admitted to short-stay units. This is a multicentre, stepped-wedge cluster randomised trial. The program will be implemented at three times of the transition: 1) during the patient's stay in hospital: development of a discharge plan, creation of a transitional care file, and notification of the primary care physician about inpatient care and hospital discharge by the transition nurse; 2) on the day of discharge: meeting between the transition nurse and the patient to review the follow-up recommendations; and 3) for 4 weeks after discharge: follow-up by the transition nurse. The primary outcome is the 30-day unscheduled hospital readmission or emergency visit rate after the index hospital discharge. The patients enrolled will be aged 75 or older, hospitalized in an acute care geriatric unit, and at risk of hospital readmission or an emergency visit after returning home. In all, 630 patients will be included over a 14-month period. Data analysis will be blinded to allocation, but due to the nature of the intervention, physicians and patients will not be blinded. Our study makes it possible to evaluate the specific effect of a bridging intervention involving a designated professional intervening before, during, and after hospital discharge. The strengths of the study design are methodological and practical. It permits the estimation of the intervention effect using between- and within-cluster comparisons; the study of the fluctuations in unscheduled hospital readmission or emergency visit rates; the participation of all clusters in the intervention condition; the implementation of the intervention in each cluster successively. This study has been registered as a cRCT at clinicaltrials.gov (identifier: NCT02421133 ). Registered 9 March 2015.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 93 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 16%
Student > Master 12 13%
Student > Ph. D. Student 11 12%
Researcher 7 7%
Student > Doctoral Student 6 6%
Other 15 16%
Unknown 28 30%
Readers by discipline Count As %
Nursing and Health Professions 24 26%
Medicine and Dentistry 13 14%
Social Sciences 5 5%
Computer Science 4 4%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 12 13%
Unknown 33 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 March 2016.
All research outputs
#3,503,468
of 7,361,241 outputs
Outputs from BMC Geriatrics
#523
of 759 outputs
Outputs of similar age
#137,452
of 281,764 outputs
Outputs of similar age from BMC Geriatrics
#33
of 48 outputs
Altmetric has tracked 7,361,241 research outputs across all sources so far. This one has received more attention than most of these and is in the 51st percentile.
So far Altmetric has tracked 759 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 281,764 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.