Evidence map›Paper›PMID 42249334›Full record

ArticleInternational journal of emergency medicine2026

Effect of a mobile-based intervention (Code Sama) on door-to-needle time in acute ischemic stroke patients: a quasi-experimental study.

Sahar Fadaei, Vahid Zamanzadeh, Fatemeh Monjazebi

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Article in International journal of emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sahar Fadaei *Student Research Committe, School of Nursing & Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Vahid Zamanzadeh *Department of Medical Surgical Nursing, School of Nursing & Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran. zamanzadeh@sbmu.ac.ir.ORCID http://orcid.org/0000-0002-4664-750X
Fatemeh MonjazebiDepartment of Medical Surgical Nursing, School of Nursing & Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0001-8311-0296

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDoor-to-needle (DTN) time is a critical performance metric in acute ischemic stroke management, as delays are directly associated with poorer clinical outcomes. This study evaluated the effect of a mobile-based software intervention (Code Sama) on reducing DTN time in the emergency department (ED).

methodsThis quasi-experimental study employed a non-equivalent control group, pretest-posttest design, conducted at a comprehensive stroke center in Tabriz, Iran. Sixty emergency department nurses participated in implementing a mobile-based clinical decision support application. Patient data were collected through direct observation using a validated timing checklist. The control group comprised 60 acute ischemic stroke patients managed with routine care over an 8-week period. The intervention group included 60 patients treated after nurses received training on and began using the "Code Sama" application. The primary outcome, door-to-needle time, was measured by trained observers present around the clock who recorded timestamps at key care milestones. Data were analyzed using independent t-tests following confirmation of normality assumptions.

resultsPatient groups were homogenous regarding baseline demographic and clinical characteristics, including age, sex, and NIHSS score (p > 0.05). No significant difference was found in mean DTN time between the control group's baseline (48.60 ± 2.52 min) and the intervention group's pretest (48.23 ± 2.40 min). Following the intervention, the mean DTN time in the intervention group decreased significantly to 42.96 ± 1.45 min. This reduction was statistically significant compared to its own pretest (t(48) = 10.25, p < 0.001) and to the control group's post-period (t(47) = 10.58, p < 0.001), with a very large effect size (Cohen's d > 2.5).

conclusionImplementation of the "Code Sama" mobile-based intervention was associated with a significant reduction in door-to-needle time for acute ischemic stroke patients. These findings suggest this tool may serve as a feasible strategy to support emergency workflow optimization, though confirmation through randomized controlled trials is warranted.

trial registrationThis study was registered with the Iranian Registry of Clinical Trials (IRCT). We acknowledge that prospective registration would have been preferable the registration occurred because the study was initially conceptualized as a quality improvement initiative rather than a clinical trial. Upon recognition that the findings warranted publication, registration was completed to ensure transparency.

Indexed as

Door-to-needle timeEmergency nursingIschemic strokemHealthQuality improvement

Identifiers

PMID42249334
PMCPMC13242109

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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.