Evidence map›Paper›PMID 37440990›Full record

ArticleQualitative research in medicine & healthcare2022

Using qualitative data to inform the adaptation of a stroke preparedness health intervention.

Mellanie V Springer, Tiffany Hodges, Cristi Lanning, Michael Tupper, Lesli E Skolarus

Abstract read
In one paragraph

Article in Qualitative research in medicine & healthcare, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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

5 authors.

Mellanie V SpringerStroke Program, Department of Neurology, University of Michigan Medical School, Ann Arbor, Michigan.
Tiffany HodgesStroke Program, Department of Neurology, University of Michigan Medical School, Ann Arbor, Michigan.
Cristi LanningEastern Michigan University, Ypsilanti, Michigan.
Michael TupperUniversity of Michigan Medical School, Ann Arbor, Michigan, United States.
Lesli E SkolarusStroke Program, Department of Neurology, University of Michigan Medical School, Ann Arbor, Michigan.

Funding

Partnering with an Urban Safety Net Hospital to Deliver Stroke Preparedness in the Emergency DepartmentK01NS117555 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SPRINGER, MELLANIE V · 2020 to 2024
$1.2M
NINDS NIH HHS K01 NS117555
6 · The paper itself

Abstract

Qualitative research methods are often used to develop health interventions, but few researchers report how their qualitative data informed intervention development. Improved completeness of reporting may facilitate the development of effective behavior change interventions. Our objective was to describe how we used qualitative data to develop our stroke education intervention consisting of a pamphlet and video. First, we created a questionnaire grounded in the theory of planned behavior to determine reasons people delay in activating emergency medical services and presenting to the hospital after stroke symptom onset. From our questionnaire data, we identified theoretical constructs that affect behavior which informed the active components of our intervention. We then conducted cognitive interviews to determine emergency department patients' understanding of the intervention pamphlet and video. Our cognitive interview data provided insight into how our intervention might produce behavior change. Our hope is that other researchers will similarly reflect upon and report on how they used their qualitative data to develop health interventions.

Indexed as

behavioral interventionhealth interventionQualitative datastroke

Identifiers

PMID37440990
PMCPMC10336881

What OpenQuestion holds

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LicenceCC BY-NC
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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.