了解医生的心理和身体负担,并确定孟加拉国的支持干预措施:定性研究
Rahat Jahangir Rony1, Shams Akbar Aalok2, Lamia Amin Tisha2
1Department of Computer Science and Informatics, School of Computer Science, Cardiff University, Cardiff, United Kingdom.
Interactive journal of medical research
|September 26, 2025
概括
孟加拉国的医生在COVID-19大流行期间面临着重大的心理和身体健康挑战,包括倦怠和缺乏支持. 提出了一个新的上下文模型,以改善医生在资源有限的环境中的福祉.
科学领域:
- 公共卫生 公共卫生
- 医学社会学 医学社会学
- 职业健康 职业健康 职业健康
背景情况:
- COVID-19大流行严重影响了全球医疗保健,医生面临高个人风险和心理健康压力.
- 孟加拉国等资源有限国家的医生由于资源和支持系统不足而面临独特的挑战.
- 来自高收入国家的医生现有的福利模式并不直接适用于资源有限的环境.
研究的目的:
- 调查孟加拉医生在COVID-19大流行期间所经历的心理和身体健康负担.
- 确定影响孟加拉国医生福祉的上下文因素.
- 提出一个适应和可持续的医生福祉的上下文模型.
主要方法:
- 在COVID-19大流行期间,在孟加拉国Chattogram与14名医生进行了半结构化的在线采访.
- 从公立和私立医院的COVID-19单位招募医生.
- 通过反射主题分析分析了637分钟的录音采访.
主要成果:
- 医生面临着未被诊断的患者的风险,并担心将病毒传播给他们的家人.
- 繁重的工作负载,长时间的值班时间和员工短缺扰乱了睡眠和工作时间表.
- 医生在大量患者死亡时遇到负面的公众看法,缺乏情感支持.
结论:
- 医生的精神和身体健康受到大流行期间背景困难的严重负担.
- 提出了一个整合了上下文和技术方法的上下文干预模型,以支持医生福祉.
- 该模型旨在让利益相关者参与为医生重新设计可持续和适应性的工作环境.
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