Ni Bin, Gettler Erin, Stern Rebecca, Munro Heather M, Steinwandel Mark, Aldrich Melinda C, Friedman Debra L, Sanderson Maureen, Schlundt David, Aronoff David M, Gupta Deepak K, Shrubsole Martha J, Lipworth Loren
Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
VUMC.
J Public Health Res. 2021 Sep 24;11(1):2497. doi: 10.4081/jphr.2021.2497.
Widespread disruptions of medical care to mitigate COVID-19 spread and reduce burden on healthcare systems may have deleterious public health consequences.
To examine factors contributing to healthcare interruptions during the pandemic, we conducted a COVID-19 impact survey between 10/7-12/14/2020 among participants of the Southern Community Cohort Study, which primarily enrolled low-income individuals in 12 southeastern states from 2002-2009. COVID survey data were combined with baseline and follow-up data.
Among 4,463 respondents, 40% reported having missed/delayed a health appointment during the pandemic; the common reason was provider-initiated cancellation or delay (63%). In a multivariable model, female sex was the strongest independent predictor of interrupted care, with odds ratio (OR) 1.63 (95% confidence interval [CI] 1.40-1.89). Those with higher education (OR 1.27; 95% CI 1.05-1.54 for college graduate vs ≤high school) and household income (OR 1.47; 95% CI 1.16-1.86 for >$50,000 vs <$15,000) were at significantly increased odds of missing healthcare. Having greater perceived risk for acquiring (OR 1.42; 95% CI 1.17-1.72) or dying from COVID-19 (OR 1.25; 95% CI 1.04-1.51) also significantly increased odds of missed/delayed healthcare. Age was inversely associated with missed healthcare among men (OR for 5-year increase in age 0.88; 95% CI 0.80-0.96) but not women (OR 0.97; 95% CI 0.91-1.04; p-interaction=0.04). Neither race/ethnicity nor comorbidities were associated with interrupted healthcare.
Disruptions to healthcare disproportionately affected women and were primarily driven by health system-initiated deferrals and individual perceptions of COVID-19 risk, rather than medical co-morbidities or other traditional barriers to healthcare access.
为减轻新冠病毒传播及降低医疗系统负担而广泛中断医疗服务,可能会产生有害的公共卫生后果。
为研究疫情期间导致医疗服务中断的因素,我们于2020年10月7日至12月14日在南方社区队列研究的参与者中开展了一项新冠病毒影响调查。该研究于2002年至2009年主要招募了东南部12个州的低收入人群。新冠病毒调查数据与基线数据及随访数据相结合。
在4463名受访者中,40%报告在疫情期间错过/推迟了医疗预约;常见原因是医疗机构主动取消或推迟(63%)。在多变量模型中,女性是医疗服务中断的最强独立预测因素,比值比(OR)为1.63(95%置信区间[CI]为1.40 - 1.89)。受过高等教育者(大学毕业生与高中及以下学历相比,OR为1.27;95%CI为1.05 - 1.54)和家庭收入较高者(收入超过5万美元与低于1.5万美元相比,OR为1.47;95%CI为1.16 - 1.86)错过医疗服务的几率显著增加。认为感染新冠病毒(OR为1.42;95%CI为1.17 - 1.72)或死于新冠病毒(OR为1.25;95%CI为1.04 - 1.51)的风险更高,也会显著增加错过/推迟医疗服务的几率。年龄与男性错过医疗服务呈负相关(年龄每增加5岁,OR为0.88;95%CI为0.80 - 0.96),但与女性无关(OR为0.97;95%CI为0.91 - 1.04;p值交互作用 = 0.04)。种族/族裔和合并症均与医疗服务中断无关。
医疗服务中断对女性的影响尤为严重,主要是由医疗系统发起的延期以及个人对新冠病毒风险的认知所驱动,而非医疗合并症或其他传统的医疗服务获取障碍。