Gender differences, inequalities and biases in the management of Acute Coronary Syndrome.

OBJECTIVE: The approach to Acute Coronary Syndrome from a gender perspective is relatively recent. Research is extensive at epidemiological and clinical levels. However, available evidence, besides neglecting the social dimensions of the disease, has made women invisible. The objective of this review was to analyze the inequalities and gender biases in Acute Coronary Syndrome, from the beginning of the disease process to the final resolution. METHODS: An exhaustive review of the literature of the entire health care process, from risk factors to rehabilitation and recovery, was carried out. The search for articles on gender, gender inequalities, or gender bias was conducted in indexed journals of social and health sciences. Also, a specific search was performed for each stage of the process, such as risk factors, prehospital phase, diagnosis, treatment, and rehabilitation. RESULTS: Results showed the presence of gender biases throughout the entire health care process in Acute Coronary Syndrome. It is shown gender inequalities in the access to medical care, including a poor recognition among women themselves as well as among health professionals; longer prehospital delays; inadequate diagnoses and treatments; or less assistance to cardiac rehabilitation programmes. These biases occurred at the different levels of the health services involved. Finally, this review included recommendations proposed or arising from the revised papers. CONCLUSIONS: Reducing gender biases in Acute Coronary Syndrome implies developing strategies to raise awareness among women, improve training of professionals serving at the different levels of health services, reduce delays, develop health management measures, and promote a research agenda.

[Factors associated with prehospital delay in men and women with acute coronary syndrome]. / Factores asociados a la demora prehospitalaria en hombresy mujeres con síndrome coronario agudo.

OBJECTIVE: To identify factors associated with prehospital delay in people who have had an acute coronary syndrome. METHODS: Using a survey we studied patients admitted due to acute coronary syndrome in the 33 Andalusian public hospitals, obtaining information about different types of variables: socio-demographic, contextual,clinical, perception, action, and transportation.Multivariate logistic regression models were applied to calculate the odds ratios for the delay. RESULTS: Of the 1,416 patients studied, more than half had a delay of more than an hour. This is associated to distance to the hospital and means of transport: when the event occurs in the same city,using the patient's own means of transport increases the delay, odds ratio = 1.51 (1.02 to 2.23); if the distance is 1 to 25 kilometers from the hospital,there is no difference between the patient's own means of transport and an ambulance, odds ratio =1.41 and odds ratio =1.43 respectively; and when the distance exceeds 25 kilometers transport by ambulance means more delay, odds ratio = 3.13 and odds ratio = 2.20 respectively. Also, typical symptoms reduce delay amongst men but increase amongst women. Also, not caring and waiting for the resolution of symptoms, seeking health care other than a hospital or emergency services, previous clinical history, being away from home, and having an income under 1,500 euros, all increase delay. Respiratory symptoms reduce delay. CONCLUSIONS: Prehospital delay times do not meet health recommendations. The physical and social environment,in addition to clinical, perceptual and attitudinal factors, are associated with this delay.

Factores asociados a la demora prehospitalaria en hombres y mujeres con síndrome coronario agudo / Factors associated with prehospital delay in men and women with acute coronary syndrome

Fundamento: Identificar factores asociados a la demora prehospitalaria en personas que han tenido un síndrome coronario agudo Material y métodos: Se estudiaron mediante encuesta pacientes ingresados por síndrome coronario agudo en los 33 hospitales públicos andaluces, obteniéndose información sobre diferentes tipos de variables: socio-demográficas, contextuales, clínicas, percepción, actuaciones, y transporte. Se aplicaron modelos de regresión logística multivariante para calcular las odds ratio para la demora. Resultados: De los 1.416 pacientes en total, más de la mitad tuvieron una demora superior a la hora. Se asocia a la distancia al hospital y al medio de transporte: cuando el evento ocurre en la misma ciudad del hospital, utilizar medios propios aumenta la demora, odds ratio= 1,51 (1,02-2,23); si la distancia es entre 1-25 kilómetros, no hay una diferencia entre medios propios y ambulancia, odds ratio = 1,41 y odds ratio = 1,43 respectivamente; y cuando supera los 25 kilómetros la ambulancia implica mayor demora, odds ratio = 3,13 y odds ratio = 2,20 respectivamente. Además, la sintomatología típica reduce la demora entre los hombres, pero la aumenta entre las mujeres. Asimismo, no darle importancia, esperar a la resolución de los síntomas, buscar atención sanitaria diferente a urgencias hospitalarias o al 061, tener antecedentes, encontrarse fuera de la vivienda habitual, y tener ingresos menores de 1.500 euros aumentan la demora. Tener síntomas respiratorios la reduce. Conclusiones: La demora prehospitalaria no se ajusta a las recomendaciones sanitarias, asociándose al entorno físico y social, a factores clínicos, y de percepción y actitudinales de los sujetos (AU)

Objective. To identify factors associated with prehospital delay in people who have had an acute coronary syndrome. Methods. Using a survey we studied patients admitted due to acute coronary syndrome in the 33 Andalusian public hospitals, obtaining information about different types of variables: socio-demographic, contextual, clinical, perception, action, and transportation. Multivariate logistic regression models were applied to calculate the odds ratios for the delay. Results. Of the 1,416 patients studied, more than half had a delay of more than an hour. This is associated to distance to the hospital and means of transport: when the event occurs in the same city, using the patient’s own means of transport increases the delay, odds ratio = 1.51 (1.02 to 2.23); if the distance is 1 to 25 kilometers from the hospital, there is no difference between the patient’s own means of transport and an ambulance, odds ratio = 1.41 and odds ratio =1.43 respectively; and when the distance exceeds 25 kilometers transport by ambulance means more delay, odds ratio = 3.13 and odds ratio = 2.20 respectively. Also, typical symptoms reduce delay amongst men but increase amongst women. Also, not caring and waiting for the resolution of symptoms, seeking health care other than a hospital or emergency services, previous clinical history, being away from home, and having an income under 1,500 euros, all increase delay. Respiratory symptoms reduce delay. Conclusions. Prehospital delay times do not meet health recommendations. The physical and social environment, in addition to clinical, perceptual and attitudinal factors, are associated with this delay (AU)

Actuación de los pacientes ante un síndrome coronario agudo: diferencias desde una perspectiva de género / Patient responses to symptoms of acute coronary syndrome: a gender-perspective study

Objetivos: Conocer las características del entorno, pensamientos, actuaciones y tipo de transporte utilizado en hombres y mujeres con síndrome coronario agudo –SCA– (infarto agudo de miocardio y angina inestable) al inicio de los síntomas. Método: Estudio observacional descriptivo de una muestra representativa de pacientes ingresados en las unidades de cuidados intensivos de 33 hospitales públicos de las 8provincias andaluzas, entre 2007 y 2010, con diagnóstico al alta de SCA. Resultados: Se obtuvieron 1.416 encuestas: 948 hombres y 468 mujeres, con una edad media de 63,0 años y 70,5, respectivamente. Los síntomas se inician mayormente en la vivienda habitual y por la mañana. Menos de una tercera parte de las personas encuestadas supo desde el principio que se trataba de un infarto (hombres 29,9%, mujeres 24,2% p < 0,001). El 26,0% lo primero que hace es telefonear o desplazarse en busca de familiares, amistades o gente vecina, además las personas realizan más de (..) (AU)

Objective: To determine the environmental characteristics and the opinions, behaviors, and types of transfer to hospital of men and women who experience symptoms of acute coronary syndrome (acute myocardial infarct and unstable angina).Methods: Descriptive observational study of a representative sample of patients with a diagnosis of acute coronary syndrome who were admitted to the intensive care units of 33 public health service hospitals in 8 provinces in Andalusia, Spain, between 2007 and 2010.Results: A total of 1416 surveys were completed; 948 were for men and 468 were for women (mean [SD] ages, 63.0and 70.5 years, respectively). Symptoms usually began in the patient’s home. Fewer than a third of the patients surveyed knew they were experiencing a coronary event from the beginning of symptoms (29.9% of men and 24.2% of women;P<.001). The first reaction of 26.0% was to call or try to find a family member, friend, or neighbor. Many (..) (AU)