kanyakumari区三所mookambika医学院医院重症监护病房机械通气意识患者的沟通和焦虑水平评估研究

Derlin A. Ahisha, Retnam C. Ajitha
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引用次数: 0

摘要

机械通气被广泛用于治疗危重病人。使用机械通气的目的是通过提供通气来保护患者的肺部,直到根本原因被消除。虽然使用辅助通气设备对患者有独特的好处,但它也会造成压力、睡眠障碍、孤立,并阻止他们进行语言交流。本研究的主要目的是评估icu收治的机械呼吸机患者的沟通和焦虑水平。该研究的第二个目的是确定沟通和焦虑水平与选定的人口变量之间的关系。本研究采用非实验描述性研究设计。本研究在印度泰米尔纳德邦Kulasekharam的Sree Mookambika医学院医院进行,采用方便抽样技术选取30个样本。数据收集工具包括人口统计变量、临床变量、沟通量表和医院焦虑抑郁量表。研究结果表明,10%的样本存在中级沟通困难,90%的样本存在低级沟通困难。10%的样本有中度焦虑,90%的样本有重度焦虑。沟通水平、人口统计变量(如经济来源)和临床变量(如既往住院史)之间存在显著关联。焦虑水平、人口统计学变量(如性别)和临床变量(如呼吸机支持持续时间)之间存在显著关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study to assess the communication and level of anxiety among mechanically ventilated conscious patients in intensive care units of sree mookambika medical college hospital at kanyakumari district
Mechanical Ventilation is widely used to treat patients who are in critical condition. The aim of using mechanical ventilation is to protect the patient's lungs by providing ventilation until the underlying causes are eliminated. Although the use of assisted ventilation devices has unique benefits for patients, it also causes stress, sleep disturbance, isolation, and prevents them from communicating verbally. The primary objective of the study was to assess the communication and level of anxiety among patients on mechanical ventilators admitted to the ICUs. The secondary objective of the study was to determine the association between communication and level of anxiety with the selected demographic variables. A non-experimental descriptive research design was used in this study. The study was conducted at Sree Mookambika Medical College Hospital, Kulasekharam, Tamil Nadu, India. 30 samples were selected using the convenience sampling technique. The tools used for the data collection were demographic variables, clinical variables, communication scales, and hospital anxiety and depression scales. Findings of the study show that 10% of the sample has medium-level communication difficulties, and 90% of the sample has low-level communication difficulties. 10% of the sample has moderate-level anxiety, and 90% of the sample has severe anxiety. There is a significant association between the level of communication, demographic variables such as source of finance, and clinical variables such as history of previous hospitalization. There is a significant association between the level of anxiety, demographic variables such as gender, and clinical variables, such as duration of ventilator support.
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