Evidence map›Paper›PMID 25386161›Full record

ReviewFrontiers in neurology2014

A new model for secondary prevention of stroke: transition coaching for stroke.

Cheryl Bushnell, Martinson Arnan, Sangwon Han

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Frontiers in neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04434638 (Stroke Transitions of Care to Reduce Hospital Length of Stay), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 14% 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.

NCT04434638 nacompletednot on this mapstarted 2018, after this paper: background citation

Stroke Transitions of Care to Reduce Hospital Length of Stay

TypeinterventionalSponsorGeorgetown UniversityRan2018 to 2019Enrolled40ConditionsStrokeArmsTransitions of Care Coordinator, Usual Care
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 25 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

3 authors at 1 institution in 1 country.

Cheryl BushnellDepartment of Neurology, Wake Forest School of Medicine , Winston Salem, NC , USA.
Martinson ArnanDepartment of Neurology, Wake Forest School of Medicine , Winston Salem, NC , USA.
Sangwon HanDepartment of Neurology, Sanggye Paik Hospital, Inje University College of Medicine , Seoul , South Korea.
Inje University Sanggye Paik Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-adherence to stroke prevention medications is a risk factor for first-ever and recurrent stroke. As of yet, there are no guidelines for processes to recognize and address medication non-adherence in stroke patients. We developed a new model of post-discharge prevention care that measures and addresses medication-taking (transition coaching for stroke or TRACS). TRACS includes personalized education about risk factors and medications prior to discharge, follow-up telephone calls, and appointments with a stroke nurse practitioner (NP). The stroke NP asks about medication use (persistence) and whether doses are missed (adherence), and helps to solve problems with access to medications or side effects. In an analysis of 142 patients enrolled in TRACS from October 2012 to February 2014, medication persistence (use of medications from discharge to the time of measurement) was about 80%. Medication persistence at NP visit was higher in those patients with a first-ever stroke (78.9%) vs. those with recurrent stroke (60.7%; p = 0.045). Concerted efforts with 2-day RN follow-up calls and earlier NP appointments to improve medication-taking behaviors are underway.

Indexed as

medication adherencequality improvementstroke secondary prevention

Identifiers

PMID25386161
PMCPMC4209826
OpenAlexW2106265113

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.