Anticipated prehospital decision delay in response to different symptom clusters in acute coronary syndrome: Results from the Spanish Cardiobarometer study.

Autor: Petrova D; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain; Escuela Andaluza de Salud Pública, Granada, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain; Virgen de las Nieves University Hospital, Granada, Spain., Garrido D; Faculty of Psychology, University of Granada, Spain. Electronic address: duniag@ugr.es., Catena A; Faculty of Psychology, University of Granada, Spain., Ramírez-Hernández JA; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain; Virgen de las Nieves University Hospital, Granada, Spain., Blakoe M; Rigshospitalet, The Heart Center, Department of Cardiology, Copenhagen University Hospital, Copenhagen, Denmark., Fernández-Martínez NF; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain; Escuela Andaluza de Salud Pública, Granada, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain., Pérez-Gómez B; CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain; National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain., Sánchez MJ; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain; Escuela Andaluza de Salud Pública, Granada, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain., Garcia-Retamero R; Faculty of Psychology, University of Granada, Spain.
Jazyk: angličtina
Zdroj: Social science & medicine (1982) [Soc Sci Med] 2024 Oct; Vol. 359, pp. 117263. Date of Electronic Publication: 2024 Aug 23.
DOI: 10.1016/j.socscimed.2024.117263
Abstrakt: Background and Objective: Reducing patient decision delay - the time elapsed between symptom onset and the moment the patient decides to seek medical attention - can help improve acute coronary syndrome survival. Patient decision delay is typically investigated in retrospective studies of acute coronary syndrome survivors that are prone to several biases. To offer an alternative approach, the goal of this research was to investigate anticipated patient decision delay in the general population in response to different symptom clusters.
Methods: We developed scenarios representing four commonly experienced symptom clusters: classic (chest symptoms only), heavy (a large number of very intense symptoms including chest pain), diffuse (mild symptoms including chest pain), and weary (mild symptoms without clear chest involvement). The scenarios were administered in random order in a representative survey of 1002 adults ≥55 years old from the non-institutionalized general population in Spain. We measured help-seeking intentions, anticipated patient decision delay (waiting >30 min to seek help), and symptom attribution.
Results: Patient decision delay was most common in the diffuse scenario (55%), followed by the weary (34%), classic (22%), and heavy (11%) scenarios. Attributing the symptoms to a cardiovascular cause and intentions to call emergency services were least frequent in the weary and diffuse scenarios. Women were less likely to intend to seek help than men in the classic (OR = 0.48, [0.27, 0.85], diffuse (OR = 0.67, [0.48, 0.92]), and weary (OR = 0.66, [0.44, 0.98]) scenarios, despite being more likely to attribute symptoms to cardiovascular causes. Participants with traditional cardiovascular risk factors (e.g., diabetes, hypercholesterolemia, hypertension) reported faster help-seeking, whereas participants with obesity and history of depression were more likely to delay.
Discussion: The diverse manifestations of acute coronary syndrome generate fundamentally different appraisals. Anticipated patient decision delay varies as a function of socio-demographic characteristics and medical history, supporting findings from studies with patients who experienced ACS. Measuring anticipated patient decision delay in the general population can help reveal potential barriers to help-seeking and capture effects of population interventions.
(Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Databáze: MEDLINE
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