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疾病和社会因素与亚利桑那州基本工人纵向队列中 SARS-CoV-2 感染治疗的医疗利用相关。

Disease and social factors associated with healthcare utilization for the treatment of SARS-CoV-2 infections in a longitudinal cohort of essential workers in Arizona.

机构信息

College of Medicine, University of Arizona, Tucson, USA.

Department of Family and Community Medicine, University of Arizona, 655 N. Alvernon Way, Tucson, AZ, 85712, USA.

出版信息

BMC Health Serv Res. 2023 Oct 18;23(1):1118. doi: 10.1186/s12913-023-10064-y.

Abstract

BACKGROUND

Demands on health systems due to COVID-19 are substantial, but drivers of healthcare utilization are not well defined in non-severe SARS-CoV-2 infections. Among a prospective cohort of frontline workers from July 2020 to February 2023, we assessed predictors of healthcare utilization during SARS-CoV-2 infection.

METHODS

Weekly specimens tested via real-time reverse transcriptase polymerase chain reaction analysis. Participants reported sociodemographic, health status information, and illness experience information. Primary outcome was healthcare utilization during SARS-CoV-2 infection. Predictors included sociodemographic characteristics, baseline health status, and measures of illness severity. Multivariable logistic regression was utilized to generate odds ratios for predictors of healthcare utilization.

RESULTS

1,923 SARS-CoV-2 infections (1,276 first infections and 647 reinfections from 4,208 participants): 1221 (63.5%) individuals were between 40 and 65 years old; 1115 (58.0%) were female; 449 (23.3%) were Hispanic and 1305 (67.9%) non-Hispanic White. 294 (15.3%) individuals sought medical care during first infection, 106 (5.5%) during reinfection. Sociodemographic and baseline health characteristics were not associated with healthcare utilization during infections from any variant for first infections, while age (OR 1.04, 95%CI 1.01-1.07) was during Omicron reinfection. In first infection, number of symptoms (OR 1.16, 95%CI 1.00-1.36 in Origin/Alpha, OR 1.12, 95%CI 1.00-1.49 in Delta, OR 1.09, 95%CI 1.01-1.16 in Omicron), number of days spent in bed (OR 1.13, 95%CI 1.02-1.33 in Origin/Alpha, OR 1.23, 95%CI 1.00-1.59 in Delta, OR 1.12, 95%CI 1.03-1.22 in Omicron), and illness duration (OR 1.01, 95%CI 1.00-1.04 in Origin/Alpha, OR 1.01, 95%CI 1.00-1.03 in Delta, OR 1.01, 95%CI 1.00-1.02 in Omicron) were related to healthcare utilization for all variants. Number of days in bed (OR 1.12, 95%CI 1.01-1.27), illness duration (OR 1.01, 95%CI 1.00-1.02), and hours of work missed (OR 2.24, 95%CI 1.11-4.74) were positively associated with healthcare utilization during Omicron reinfection.

CONCLUSION

The main factors associated with healthcare utilization for SARS-CoV-2 infection were symptom severity and duration. Practices and therapeutics aimed at decreasing these factors would be most helpful in easing the burden on health systems.

摘要

背景

由于 COVID-19,对卫生系统的需求巨大,但在非严重 SARS-CoV-2 感染中,医疗保健利用的驱动因素尚不清楚。在 2020 年 7 月至 2023 年 2 月期间,我们对一线工作人员进行了一项前瞻性队列研究,评估了 SARS-CoV-2 感染期间医疗保健利用的预测因素。

方法

通过实时逆转录酶聚合酶链反应分析每周进行标本检测。参与者报告社会人口统计学、健康状况信息和疾病经历信息。主要结果是 SARS-CoV-2 感染期间的医疗保健利用。预测因素包括社会人口统计学特征、基线健康状况和疾病严重程度的衡量标准。多变量逻辑回归用于生成医疗保健利用预测因素的优势比。

结果

1923 例 SARS-CoV-2 感染(4208 名参与者中的 1276 例初次感染和 647 例再感染):1221 名(63.5%)个体年龄在 40 至 65 岁之间;1115 名(58.0%)为女性;449 名(23.3%)为西班牙裔,1305 名(67.9%)为非西班牙裔白人。294 名(15.3%)个体在初次感染时寻求医疗护理,106 名(5.5%)在再感染时寻求医疗护理。在初次感染中,社会人口统计学和基线健康特征与任何变体的感染期间的医疗保健利用无关,而年龄(OR 1.04,95%CI 1.01-1.07)在奥密克戎再感染时与感染相关。在初次感染中,症状数量(OR 1.16,95%CI 1.00-1.36 在原始/阿尔法,OR 1.12,95%CI 1.00-1.49 在三角洲,OR 1.09,95%CI 1.01-1.16 在奥密克戎)、卧床天数(OR 1.13,95%CI 1.02-1.33 在原始/阿尔法,OR 1.23,95%CI 1.00-1.59 在三角洲,OR 1.12,95%CI 1.03-1.22 在奥密克戎)和疾病持续时间(OR 1.01,95%CI 1.00-1.04 在原始/阿尔法,OR 1.01,95%CI 1.00-1.03 在三角洲,OR 1.01,95%CI 1.00-1.02 在奥密克戎)与所有变体的医疗保健利用相关。卧床天数(OR 1.12,95%CI 1.01-1.27)、疾病持续时间(OR 1.01,95%CI 1.00-1.02)和缺勤时间(OR 2.24,95%CI 1.11-4.74)与奥密克戎再感染期间的医疗保健利用呈正相关。

结论

与 SARS-CoV-2 感染医疗保健利用相关的主要因素是症状严重程度和持续时间。旨在减少这些因素的实践和治疗方法将最有助于减轻卫生系统的负担。

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