在COVID-19期间社会人口统计特征和医疗保健使用之间的关联:澳大利亚的一项研究
Erika Martino1, Ang Li1, Rebecca Bentley1
1Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia.
Internal medicine journal
|February 22, 2026
概括
在COVID-19期间,医疗保健提供者比患者更常延迟或取消医疗保健. 社会人口统计学因素影响了这些延迟,影响了健康公平.
科学领域:
- 公共卫生 公共卫生
- 医疗保健服务研究 医疗服务研究
- 卫生社会学 卫生社会学
背景情况:
- 在全球范围内,COVID-19显著改变了医疗保健服务.
- 了解个体和区域级特征对疫情期间医疗服务获取和提供者的影响至关重要.
研究的目的:
- 调查社会人口统计特征与澳大利亚COVID-19期间患者和医疗服务提供者推迟或取消医疗保健之间的关联.
主要方法:
- 利用了澳大利亚家庭,收入和劳动力动力学 (HILDA) 调查数据.
- 采用后勤回归模型来分析社会人口统计学因素与护理延迟/取消之间的关联.
主要成果:
- 提供者更频繁地延迟/取消护理 (10%) 比患者 (6.5%).
- 女性,老年人,以及在更有利的地区的个人更有可能经历延误/取消.
- 较低的教育程度和出生在非英语国家与较低的护理延迟/取消可能性有关.
结论:
- 延迟医疗护理可能会增加发病率和死亡率的风险.
- 调查结果强调需要有针对性的战略,以确保公平的医疗保健服务提供.
更多相关视频
相关概念视频
Issues And Trends In Healthcare Delivery System
6.3K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.3K
Factors Affecting Illness
5.5K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
For instance, risk factors are connected to illness,...
5.5K
Factors Affecting the Risk of Infection
14.1K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
14.1K
Bias in Epidemiological Studies
1.4K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.4K
Secondary Healthcare System
2.1K
Secondary healthcare is offered by a specialist, generally in hospitals or clinics for patients referred by primary healthcare providers. It occurs when a person has an illness or injury that requires specific medical care. Secondary care is often referred to as acute care. Secondary care can range from uncomplicated care to repair a minor laceration or treat a strep throat infection to more complicated emergent care, such as treating a head injury sustained in an automobile accident. Whatever...
2.1K
Comparing the Survival Analysis of Two or More Groups
652
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
652


