Evidence map›Paper›PMID 30894152›Full record

ArticleBMC health services research2019

Understanding determinants of acute stroke thrombolysis using the tailored implementation for chronic diseases framework: a qualitative study.

Lesli E Skolarus, Gina M Neshewat, Lacey Evans, Molly Green, Narmeen Rehman, Zach Landis-Lewis, Jillian Welsh Schrader, Anne E Sales

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 24 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

8 authors at 2 institutions in 1 country.

Lesli E SkolarusStroke Program, Department of Neurology, University of Michigan, 1500 E Medical Center Dr, SPC 5856, Ann Arbor, MI, 48109-5856, USA. lerusche@med.umich.edu.
Gina M NeshewatStroke Program, Department of Neurology, University of Michigan, 1500 E Medical Center Dr, SPC 5856, Ann Arbor, MI, 48109-5856, USA.
Lacey EvansStroke Program, Department of Neurology, University of Michigan, 1500 E Medical Center Dr, SPC 5856, Ann Arbor, MI, 48109-5856, USA.
Molly GreenStroke Program, Department of Neurology, University of Michigan, 1500 E Medical Center Dr, SPC 5856, Ann Arbor, MI, 48109-5856, USA.
Narmeen RehmanStroke Program, Department of Neurology, University of Michigan, 1500 E Medical Center Dr, SPC 5856, Ann Arbor, MI, 48109-5856, USA.
Zach Landis-LewisDepartment of Learning Health Science, University of Michigan, Ann Arbor, USA.
Jillian Welsh SchraderHurley Medical Center, Flint, USA.
Anne E SalesDepartment of Learning Health Science, University of Michigan, Ann Arbor, USA.
University of Michigan–Ann Arbor · USHurley Medical Center · US

Funding

A Community Based Participatory Trial to Increase Stroke TreatmentU01MD010579 · NIMHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROWN, DEVIN L · 2016 to 2020
$2.8M
A knowledge-based message tailoring systemK01LM012528 · NLM · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LANDIS-LEWIS, ZACHARY · 2017 to 2019
$523k
NIMHD NIH HHS U01 MD010579NIMHD NIH HHS U01MD010579NLM NIH HHS K01 LM012528
6 · The paper itself

Abstract

backgroundThe Tailored Implementation in Chronic Disease (TICD) framework is a comprehensive framework describing the determinants of implementation success that has been used extensively in primary care settings. We explored the utility of the TICD to identify determinants of practice in an acute setting, namely guideline concordant acute stroke thrombolysis in a low-resourced, predominately minority serving, large, Emergency Department (ED).

methodsThrough workshops and expert review, we developed an interview guide informed by the TICD framework. We then conducted semi-structured interviews with data collected through written transcripts, audio transcripts or interviewer notes based on participant availability. Three independent coders then performed a content analysis using template analysis, but open to new determinants that arose from the data, into the TICD framework.

resultsWe performed a total of 15 semi-structured interviews with ED acute stroke providers including medical technicians, nurses, and physicians. We found that guideline factors, individual health professional factors, and patient factors domains were barriers to guideline concordant acute stroke thrombolysis. The domain professional interactions was a facilitator to treatment. We identified three determinants, healthcare professional burnout, health care professional turnover and surrogate decision making, that are not part of the TICD framework.

conclusionsMost determinants of acute stroke thrombolysis are included within the TICD framework. Inclusion of healthcare professional burnout, healthcare professional turnover and surrogate decision making may assist in expanding the TICD to time-sensitive ED conditions. Further work is needed to confirm this finding and to establish whether the TICD is applicable for use in non-time sensitive ED conditions. Interventions that address guideline, individual health professional and patient factors may improve guideline concordant acute stroke thrombolysis.

Indexed as

Emergency Service, HospitalGuideline AdherencePractice Guidelines as TopicThrombolytic TherapyBurnout, ProfessionalChronic DiseaseHealth PersonnelHumansInterviews as TopicPersonnel TurnoverQualitative ResearchStrokeHealth disparitiesImplementation scienceStrokeThrombolysis

Identifiers

PMID30894152
PMCPMC6425596
OpenAlexW2923325239

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.