Instituto de Salud Colectiva, Universidad Nacional de Lanús, Buenos Aires, Argentina.
Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina.
Cad Saude Publica. 2021 Jan 22;37(1):e00026120. doi: 10.1590/0102-311X00026120. eCollection 2021.
The article presents a review of ethnographic studies in the scientific literature on hospital emergency services, with the objective of systematizing the studies and their principal findings, referring to the health-disease-healthcare process in hospital emergency services from an ethnographic perspective. An integrative literature review was performed of studies published in Argentine and international indexed journals and in the following electronic databases: PubMed, VHL, Scopus, Redalyc, and SciELO. The corpus of the analysis consisted of a total of 69 articles, which were submitted to content analysis, having identified the following analytical dimensions: quality of care, communication and bonds, subjectivity, application of information technologies, methodological reflection, patients' experiences and practices, decision-making, and violence. The results allowed identifying a process that differs from guidelines and protocols, in which healthcare workers' subjective aspects, communication and interpersonal relations, and working conditions shape, orient, and condition the treatment and care provided in the hospital. The article thus highlights the approach to subjective aspects in health studies, to understand not only health workers' perspectives and experiences but also the persistent barriers to providing better quality of care, complexifying a problem ignored by a large share of the analyses.
这篇文章对医院急诊服务的科学文献中的民族志研究进行了综述,旨在从民族志的角度对医院急诊服务中的健康-疾病-医疗保健过程进行系统研究并总结其主要发现。对发表在阿根廷和国际索引期刊以及以下电子数据库中的研究进行了综合文献综述:PubMed、VHL、Scopus、Redalyc 和 SciELO。分析的语料库由总共 69 篇文章组成,这些文章经过了内容分析,确定了以下分析维度:护理质量、沟通和联系、主观性、信息技术的应用、方法学反思、患者的体验和实践、决策和暴力。研究结果表明,这是一个与指南和方案不同的过程,其中医疗保健工作者的主观方面、沟通和人际关系以及工作条件会影响、引导和决定医院提供的治疗和护理。因此,本文强调了健康研究中对主观方面的关注,不仅要了解卫生工作者的观点和经验,还要了解提供更好护理质量的持续障碍,这使很大一部分分析忽略的问题变得更加复杂。