Evidence map›Paper›PMID 42007829›Full record

ArticleClinical cardiology2026

AsistIAM: Innovating the Acute Coronary Syndrome Approach in Primary Care Settings.

James S Díaz, José L Añorga, Lucelly López, Cristian Vera, Henry Andrade, Johanna M Vanegas

Abstract readMulticenter Study
In one paragraph

Article in Clinical cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

James S DíazClínica Las Américas Auna, Medellín, Colombia.ORCID https://orcid.org/0000-0002-7764-8097
José L AñorgaHospital General María Auxiliadora, Lima, Perú.
Lucelly LópezSchool of Health Sciences, Universidad Pontificia Bolivariana, Medellín, Colombia.
Cristian VeraSchool of Health Sciences, Universidad Pontificia Bolivariana, Medellín, Colombia.
Henry AndradeSchool of Engineering, Universidad Pontificia Bolivariana, Medellín, Colombia.
Johanna M VanegasSchool of Health Sciences, Universidad Pontificia Bolivariana, Medellín, Colombia.ORCID https://orcid.org/0000-0003-0649-6660

Funding

Universidad Pontificia Bolivariana 2022Universidad Pontificia Bolivariana 780C-10/22-55
6 · The paper itself

Abstract

backgroundEarly management of acute coronary syndrome (ACS) is critical. Clinical guidelines are more consistently implemented in high-complexity hospitals; however, in rural and primary care settings multiple barriers limit timely diagnosis and treatment. This study aimed to develop and evaluate the usability of a mobile application designed to assist primary care physicians in the diagnostic approach and initial management of ACS.

methodsA mHealth tool named AsistIAM was developed with five modules: electrocardiogram pattern, reperfusion strategies, risk assessment, real-time georeferencing, and educational content. Usability was assessed on a 1-7 scale under in both simulated and real-world conditions. In the latter, a before-and-after study was performed with physicians from four rural primary healthcare centers and one referral hospital. In the pre-implementation phase, participants completed a survey identifying barriers to ACS care. After using the app, they complete the same survey to analyze changes.

resultsA total of 18 participants evaluated the app in simulated conditions and 59 in real-world settings. Mean usability scores were high (6.52, in simulation and 6.18 in real-world). The best-rated items were ease of learning, interface satisfaction, and availability of functions. After app implementation, physicians reported improvements in ECG acquisition and interpretation (81.4%-100%), recognition of ST-elevation patterns (25.6%-39.2%), identification of referral centers (88.1%-98.0%), and correct use of fibrinolytics (errors 44.1%-17.6%).

conclusionsAsistIAM represents an innovative tool to strengthen regional networks, improve ACS management and support timely clinical decision-making. Usability results highlight its intuitive interface, functionality, and practical utility.

Indexed as

Acute Coronary SyndromeMobile ApplicationsPrimary Health CareTelemedicineDigital HealthElectrocardiographyHumansacute coronary syndromegeoreferencingmHealthmobile applicationsprimary carereperfusion therapySTEMIST‐segment elevation myocardial infarction

Identifiers

PMID42007829
PMCPMC13094408

What OpenQuestion holds

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Registered trials

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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.