Assessing the Disruption Impact on Healthcare Delivery.

IF 3 Q1 PRIMARY HEALTH CARE Journal of Primary Care and Community Health Pub Date : 2024-01-01 DOI:10.1177/21501319241260351
Maymunah Fatani, Abdulrahim Shamayleh, Hussam Alshraideh
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Abstract

Health emergency outbreaks such as the COVID-19 pandemic make it challenging for healthcare systems to ration medical resources and patient care. Such disastrous events have been increasing over the past years and are becoming inevitable, necessitating the need for healthcare to be well-prepared and resilient to unpredictable rises in demand. Quantitative and qualitative based decision support systems increase the effectiveness of planning, alleviating uncertainties associated with the crisis. This study aims to understand how the COVID-19 pandemic has affected the performance of healthcare systems in different areas and to address the associated disruption. A cross-sectional online survey was conducted in the Kingdom of Saudi Arabia and the United Arab Emirates among healthcare workers who worked during the pandemic. The pandemic-related disruption and its psychometric properties were assessed using Structural Equations Modeling (SEM) with 5 latent factors: Staff Mental Health, Communication Level, Planning and Readiness, Healthcare Supply Chain, and Telehealth. Responses from highly qualified participants with many years of experience in hospital settings were collected and analyzed. Results show that the model satisfactorily fits the data with a CLI of 0.91 and TLI of 0.88. The model indicates that enhancing supply chain management, planning, telehealth usage, and communication level across the healthcare system can mitigate the disruption. However, the lack of mental health management for healthcare workers can significantly disrupt the quality of delivered care. Staff mental health and healthcare supply chain, respectively, are the highest contributors to varying degrees of disruption in healthcare delivery. This study provides a direction for more research focusing on determinants of healthcare efficiency. It also provides decision-makers insights into the main factors leading to disruptions in healthcare systems, allowing them to shape their outbreak response and better prepare for future health emergencies.

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评估变革对医疗服务的影响。
COVID-19 大流行病等紧急卫生事件的爆发使医疗系统在合理分配医疗资源和病人护理方面面临挑战。在过去几年中,此类灾难性事件不断增加,已变得不可避免,因此医疗保健系统必须做好充分准备,以应对不可预测的需求增长。基于定量和定性的决策支持系统提高了规划的有效性,缓解了与危机相关的不确定性。本研究旨在了解 COVID-19 大流行如何影响了不同地区医疗系统的表现,并解决相关的干扰问题。我们在沙特阿拉伯王国和阿拉伯联合酋长国对在大流行期间工作的医护人员进行了横断面在线调查。采用结构方程模型(SEM)对大流行相关干扰及其心理测量特性进行了评估,其中包含 5 个潜在因素:员工心理健康、沟通水平、计划与准备、医疗供应链和远程医疗。收集并分析了具有多年医院工作经验的高素质参与者的回答。结果显示,模型与数据的拟合效果令人满意,CLI 为 0.91,TLI 为 0.88。该模型表明,加强整个医疗系统的供应链管理、规划、远程医疗的使用和沟通水平可以缓解中断。然而,缺乏对医护人员的心理健康管理会严重影响医疗服务的质量。员工心理健康和医疗供应链分别是造成不同程度医疗服务中断的最大因素。本研究为更多关注医疗效率决定因素的研究提供了方向。它还为决策者提供了洞察力,使他们了解导致医疗保健系统中断的主要因素,从而制定疫情应对措施,更好地为未来的突发卫生事件做好准备。
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来源期刊
CiteScore
4.80
自引率
2.80%
发文量
183
审稿时长
15 weeks
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