Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, North Carolina.
Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, North Carolina.
J Minim Invasive Gynecol. 2022 Sep;29(9):1110-1118. doi: 10.1016/j.jmig.2022.06.016. Epub 2022 Jun 22.
To evaluate patient characteristics that affect access to minimally invasive gynecologic surgery (MIGS) subspecialty care and identify changes during the coronavirus disease 2019 pandemic.
Retrospective cohort study of patients referred to MIGS from 2014 to 2016 (historic cohort) compared with those referred to MIGS in 2020 (pandemic cohort). Primary outcome was the interval between referral and first appointment.
Single-institution academic MIGS division.
Historic cohort (n = 1082) and pandemic cohort (n = 770).
Not applicable.
Demographics and socioeconomic variables (race, ethnicity, language, insurance, employment, and socioeconomic factors by census tract) and distance from hospital were compared between historic and pandemic cohorts with respect to referral interval using the chi-square, Fisher exact tests, and logistic regression. After adjusting for referral indication, being unemployed and living in an area with less population density, less education, and higher percentage of poverty were associated with a referral interval >30 days in the historic cohort. In the pandemic cohort, only unemployment persisted as a covariate associated with prolonged referral interval and new associated variables were primary language other than English (odds ratio, 3.20; 95% confidence interval [CI], 1.60-6.40) and "other" race (odds ratio, 2.22; 95% CI, 1.34-3.68). The odds of waiting >30 days increased by 6% with the addition of 1 demographic risk factor (95% CI, 1.01-1.10) and by 17% for 3 risk factors (95% CI, 1.03-1.34) in the historic cohort whereas no significant intersectionality was identified in the pandemic cohort. Average referral intervals were significantly shorter during the pandemic (31 vs 50 days, p <.01). Telemedicine appointments had a significantly shorter referral interval than in-person appointments (27 vs 47 days, p <.01). Of patients using telemedicine, a greater proportion were non-Hispanic, English speaking, employed, privately insured, and lived further from the hospital (p <.05).
Time from referral to first appointment at a tertiary-care MIGS practice during the coronavirus disease 2019 pandemic was shorter than that before the pandemic, likely owing to the adoption of telemedicine. Differences in socioeconomic and demographic factors suggest that telemedicine improved access to care and decreased access disparities for many populations, but not for non-English-speaking patients.
评估影响微创妇科手术(MIGS)亚专科治疗机会的患者特征,并确定 2019 年冠状病毒病大流行期间的变化。
对 2014 年至 2016 年(历史队列)转诊至 MIGS 的患者和 2020 年(大流行队列)转诊至 MIGS 的患者进行回顾性队列研究。主要结局是转诊和首次就诊之间的时间间隔。
单机构 MIGS 分部。
历史队列(n=1082)和大流行队列(n=770)。
不适用。
使用卡方检验、Fisher 精确检验和逻辑回归,比较历史队列和大流行队列中与转诊间隔相关的人口统计学和社会经济变量(种族、族裔、语言、保险、就业以及按普查区划分的社会经济因素)和与医院的距离。在历史队列中,除了转诊指征外,失业和居住在人口密度较低、教育程度较低和贫困率较高的地区与转诊间隔>30 天有关。在大流行队列中,只有失业仍然是与延长转诊间隔相关的协变量,并且新的相关变量是英语以外的主要语言(优势比,3.20;95%置信区间[CI],1.60-6.40)和“其他”种族(优势比,2.22;95%CI,1.34-3.68)。在历史队列中,每增加一个人口统计学危险因素,等待时间超过 30 天的可能性增加 6%(95%CI,1.01-1.10),增加 3 个危险因素的可能性增加 17%(95%CI,1.03-1.34)。而在大流行队列中没有发现显著的交叉性。在大流行期间,平均转诊间隔明显缩短(31 天与 50 天,p<.01)。远程医疗预约的转诊间隔明显短于面对面预约(27 天与 47 天,p<.01)。使用远程医疗的患者中,非西班牙裔、英语为母语、就业、私人保险和居住地离医院较远的比例更高(p<.05)。
在 2019 年冠状病毒病大流行期间,三级保健 MIGS 实践从转诊到首次就诊的时间短于大流行前,这可能归因于远程医疗的采用。社会经济和人口统计学因素的差异表明,远程医疗改善了许多人群的医疗服务获取机会,并减少了获取机会的差异,但对非英语患者没有影响。