{"title":"Perception of nurses about the risk assessment of the low complexity non-referred user","authors":"Aline Aparecida Buriola, Camilla Passarela Silva, Eduardo Fuzetto Cazañas, Tayomara Ferreira Nascimento","doi":"10.4025/actascihealthsci.v42i1.47205","DOIUrl":null,"url":null,"abstract":"The goal of this study was to assess the perceptions and behaviors of nurses who provide triage with risk assessment to low complexity non-referred patients. The participants of the study were nurses who were performing patients’ triage with risk assessment, and the sample consisted of thirteen participants. The instruments used for the interviews were semi-structured questionnaires related to the characterization of the topic under study. Content analysis, i.e., the method proposed by Bardin, was used for data analysis. For data organization, we used MAXQDA Analytics Pro 2018, a software program that favored the identification between the similarities of the elements and ideas, thus making it possible to reach the cores of meanings. The identified categories were: (a) understanding about the healthcare provided by the emergency/urgency care Network; (b) evaluation of patient triage with risk classification; and (c) difficulties/challenges observed at the institution when providing user assessment with risk classification. It is concluded that nurses’ perceptions regarding the topic under study were linked to the disarticulation of the healthcare Network, the fragility of the relationship between physicians and nurses, and the lack of use of institutional protocols.","PeriodicalId":42839,"journal":{"name":"ACTA SCIENTIARUM-HEALTH SCIENCES","volume":"59 1","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2020-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACTA SCIENTIARUM-HEALTH SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4025/actascihealthsci.v42i1.47205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 1
Abstract
The goal of this study was to assess the perceptions and behaviors of nurses who provide triage with risk assessment to low complexity non-referred patients. The participants of the study were nurses who were performing patients’ triage with risk assessment, and the sample consisted of thirteen participants. The instruments used for the interviews were semi-structured questionnaires related to the characterization of the topic under study. Content analysis, i.e., the method proposed by Bardin, was used for data analysis. For data organization, we used MAXQDA Analytics Pro 2018, a software program that favored the identification between the similarities of the elements and ideas, thus making it possible to reach the cores of meanings. The identified categories were: (a) understanding about the healthcare provided by the emergency/urgency care Network; (b) evaluation of patient triage with risk classification; and (c) difficulties/challenges observed at the institution when providing user assessment with risk classification. It is concluded that nurses’ perceptions regarding the topic under study were linked to the disarticulation of the healthcare Network, the fragility of the relationship between physicians and nurses, and the lack of use of institutional protocols.
本研究的目的是评估护士对低复杂性非转诊患者进行风险评估分诊的认知和行为。本研究的参与者是为患者进行风险评估分诊的护士,样本包括13名参与者。访谈使用的工具是与所研究主题的特征有关的半结构化问卷。数据分析采用内容分析法,即Bardin提出的方法。对于数据组织,我们使用了MAXQDA Analytics Pro 2018,这是一个有利于识别元素和思想相似性的软件程序,从而可以达到意义的核心。确定的类别是:(a)了解紧急/紧急护理网络提供的保健服务;(b)评估病人的风险分类;(c)在向用户提供风险分类评估时,在机构观察到的困难/挑战。结论是,护士对正在研究的主题的看法与医疗保健网络的脱节、医生和护士之间关系的脆弱性以及缺乏机构协议的使用有关。
期刊介绍:
The journal publishes original papers in Health Sciences, such as Clinical Analyses; Physical Education, Nursing, Pharmacy; Pharmacology, Phoniatry and Audiology, Physiotherapy and Occupational Therapy, Medicine, Nutrition, Dentistry and Public Health Policies.