Meta-analytic evaluation of gender differences and symptom measurement strategies in acute coronary syndromes

Shin, Ju Young; Martin, Robert K.; Suls, Jerry

doi:10.1016/j.hrtlng.2009.10.010

Cited by 55 publications

(31 citation statements)

References 26 publications

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“…Laypeople have commonsense or mental models of illness, acquired through socialization, modeling and folk transmission, that guide how they label somatic changes and infer that they are experiencing symptoms (57–59). As an example, some studies indicate that most people have a mental model for heart attack including such features as severe chest pain, sweating, and labored breathing (60). Perceived somatic changes that match the person's mental model are labeled as symptoms and may initiate self-care or medical treatment-seeking.…”

Section: Future Directions For Research In Multi-morbidity and Behavimentioning

confidence: 99%

A Biobehavioral Framework to Address the Emerging Challenge of Multimorbidity

Suls

Green

Davidson

2016

Psychosomatic Medicine

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Multi-morbidity, the co-occurrence of multiple physical or psychological illnesses, is prevalent particularly among older adults. The number of Americans with multiple chronic diseases is projected to increase from 57 million in 2000 to 81 million in 2020. However, behavioral medicine and health psychology, while focusing on the co-occurrence of psychological/psychiatric disorders with primary medical morbidities, have historically tended to ignore the co-occurrence of primary medical comorbidities, such as diabetes and cancer, and their biopsychosocial implications. This approach may hinder our ecologically valid understanding of the etiology, prevention, and treatment of individual patients with multi-morbidity. In this selective review, we propose a heuristic biobehavioral framework for the etiology of multi-morbidity. More acknowledgment and systematic research on multiple, co-existing disorders in behavioral medicine is consistent with the biopsychosocial model’s emphasis on treating the “whole person,” which means not considering any single illness, its symptoms, risk factors, or mechanisms, in isolation. As systems analytics, big data, machine learning, and mixed model trajectory analyses, among others, come on-line and become more widely available, we may be able to tackle multi-morbidity more holistically, efficiently and satisfactorily.

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Section: Future Directions For Research In Multi-morbidity and Behavimentioning

confidence: 99%

A Biobehavioral Framework to Address the Emerging Challenge of Multimorbidity

Suls

Green

Davidson

2016

Psychosomatic Medicine

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“…3 Knowledge of stroke warning symptoms seems to be similarly limited in both women and men, with 50% to 75% of individuals unaware of important warning symptoms for this condition. 4,5 Of course, women may also be somewhat more likely to experience atypical symptoms, such as nausea, shortness of breath, and back pain in the setting of ischemia, though data are mixed in terms of the degree to which this differs from men's symptom experience, [6][7][8][9] and women with myocardial infarction (MI) are more likely than men to present without chest pain. 10,11 This is particularly important because the absence of chest pain as a presenting symptom has been associated with increased mortality, especially among younger women with MI.…”

Section: Awareness and Recognition Of Cardiac Symptomsmentioning

confidence: 99%

Delays in Seeking Care

Walsh

Joynt

2016

Circ: Cardiovascular Quality and Outcomes

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“…Destaca-se que 46(39,3%) participantes deste estudo não praticavam nenhuma atividade física, sendo um dado importante, pois a prática do exercício físico é um protetor para doenças cardiovasculares 22 . A prática regular de atividade física aeróbia está indicada para a prevenção de doença cardiovascular quando realizada pelo menos cinco vezes ou mais por semana 17,[19][20][21] .…”

Section: Metodologiaunclassified

“…A prática regular de atividade física aeróbia está indicada para a prevenção de doença cardiovascular quando realizada pelo menos cinco vezes ou mais por semana 17,[19][20][21] . Paralelo a isso, o sedentarismo está incluído na lista dos principais fatores de risco para doenças cardiovasculares, assim como a hipertensão arterial, Diabetes Mellitus, obesidade e dislipidemia [20][21][22][23][24] . Com relação ao tempo de espera para a realização do ECG, houve uma média de 22 minutos entre a chegada do paciente com suspeita de SCA para o atendimento médico e a realização do primeiro ECG.…”

Section: Metodologiaunclassified

A avaliação do tempo de espera do eletrocardiograma inicial em pacientes com síndrome coronariana aguda

Andrade¹,

Pinheiro²,

Bessa³

et al. 2015

Rev. enferm. UERJ

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RESUMO: Estudo documental, desenvolvido em hospital privado no município do Rio de Janeiro, que objetivou analisar o tempo de espera para a realização do primeiro eletrocardiograma (ECG) dos pacientes, com suspeita de síndrome coronariana aguda, na sala de emergência, e discutir suas implicações para o cuidado gerenciado nesta clientela. Foram analisados 116 exames de eletrocardiogramas, do período de janeiro e fevereiro 2010; o tempo médio do ECG inicial foi de 22 minutos. Nos pacientes com infarto agudo do miocárdio, com supradesnível do seguimento s-t (IMACSST), esta média foi de 7,5 minutos. Quanto ao laudo, 2,5% tiveram diagnóstico de IAMCSST; 7,1% de infarto agudo do miocárdio sem supradesnível do segmento s-t e 16,6% foram diagnosticados com angina instável. Conclui-se que o ECG inicial em tempo adequado contribui para a identificação e tratamento precoce dos pacientes com IAMCSST, porém ainda necessita de ajustes para maior adesão da equipe de saúde aos tempos preconizados. Palavras-Chave: Síndrome coronariana aguda; serviço hospitalar de emergência; gerenciamento da prática profissional; enfermagem.ABSTRACT: This study examined waiting times to first electrocardiogram (ECG) in patients with suspected acute coronary syndrome in the emergency room, and discussed its implications in managed care for this clientele. A cross-sectional study was conducted at a private hospital in Rio de Janeiro municipality. In January and February 2010, 116 electrocardiograms were performed, and mean time to initial EEG was 22 minutes. In patients with acute ST segment elevation myocardial infarction (STEMI), mean time was 7.5 minutes. In the physicians' reports, 2.5% were diagnosed as STEMI; 7.1% as non-ST segment elevation myocardial infarction, and 16.6% as unstable angina. It was concluded that timely initial ECG contributes to the identification and early treatment of patients with STEMI. However, some adjustments are still needed to improve health teams' adherence to recommended times. Keywords: Acute coronary syndrome; emergency service; professional practice management; nursing RESUMEN: Estudio documental, desarrollado en hospital privado en Rio de Janeiro, que tuvo como objetivo analizar el tiempo de espera para la realización del primer electrocardiograma (ECG) de pacientes con sospecha de síndrome coronario agudo, en la sala de urgencias, y discutir sus implicaciones para la atención médica administrada a esta clientela. Se han analizado 116 pruebas de electrocardiogramas en el periodo de enero y febrero 2010 y el tiempo medio del ECG inicial fue de 22 minutos. En los pacientes con infarto agudo de miocardio con elevación del seguimiento s-t (IMACSST), este promedio fue de 7,5 minutos. En cuanto al informe, un 2.5% tuvo un diagnóstico de IAMCSST; 7,1% de infarto agudo de miocardio sin elevación del segmento s-t y un 16,6% fue diagnosticado de angina inestable. Se deduce que el ECG inicial en el tiempo adecuado contribuye a la identificación y al tratamiento precoz de los pacientes con IAMCSST, pero todavía necesit...

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Meta-analytic evaluation of gender differences and symptom measurement strategies in acute coronary syndromes

Cited by 55 publications

References 26 publications

A Biobehavioral Framework to Address the Emerging Challenge of Multimorbidity

A Biobehavioral Framework to Address the Emerging Challenge of Multimorbidity

Delays in Seeking Care

A avaliação do tempo de espera do eletrocardiograma inicial em pacientes com síndrome coronariana aguda

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