Yifei Sun, Evan G Gross, Mohammad A Hamo, Sasha G Howell, James Mooney, Nicholas M B Laskay, Jakub Godzik
{"title":"社会经济地位的邻里水平测量影响医疗保健利用和手术结果在深南方脊髓型颈椎病患者。","authors":"Yifei Sun, Evan G Gross, Mohammad A Hamo, Sasha G Howell, James Mooney, Nicholas M B Laskay, Jakub Godzik","doi":"10.3171/2024.8.SPINE24604","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>The aim of this study was to evaluate the association of neighborhood-level and individual-level measures of socioeconomic status with readmission, complication rates, and postoperative length of stay of patients with cervical spondylotic myelopathy (CSM) in the Deep South.</p><p><strong>Methods: </strong>The authors identified all patients undergoing surgical intervention for the treatment of CSM from November 2010 to February 2022 using Current Procedural Terminology and ICD-9/ICD-10 codes. Patient demographic, socioeconomic, perioperative, and postoperative data for each patient were collected via review of the electronic medical record. Patient addresses underwent geospatial analysis and were used to extract the Area of Deprivation Index (ADI). Patients with ADIs greater than 75 were considered highly deprived. Univariate comparison and multivariate logistic regressions were used to analyze the relationship between socioeconomic variables and outcomes of interest.</p><p><strong>Results: </strong>In total, 490 patients with CSM met the inclusion and exclusion criteria. The median age at the time of surgery was 60 (IQR 54-68) years. The median ADI was 75 (IQR 57-90). On multivariate regression analysis, unemployment was found to predict readmission within 1 year of index surgery (OR 4.08, 95% CI 1.87-9.61; p < 0.001). Having high ADI (OR 0.53, 95% CI 0.29-0.94; p = 0.033) and being African American (OR 0.51, 95% CI 0.26-0.97; p = 0.043) were found to be independently protective of readmission. Unemployment was found to be an independent predictor of postoperative complications (OR 3.65, 95% CI 1.52-9.82; p = 0.006). On multivariate regression analysis, high ADI (OR 1.69, 95% CI 1.02-2.81; p = 0.042) and living in a skilled nursing facility/residential facility (OR 8.84, 95% CI 3.08-28.5, p < 0.001) were independent predictors of prolonged length of hospital stay postoperatively.</p><p><strong>Conclusions: </strong>This is the first single-institution study investigating the influence of neighborhood-level and employment status on readmission, complications, and lengths of stay in patients with CSM in the Deep South. Neighborhood-level measures of socioeconomic status play complex and unique roles in CSM patient outcomes in the Deep South, highlighting the Deep South as a potentially unique geographic region in terms of neurosurgical outcomes. Further research is needed to evaluate methods of alleviating these disparities and improve patient outcomes.</p>","PeriodicalId":16562,"journal":{"name":"Journal of neurosurgery. 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Patient demographic, socioeconomic, perioperative, and postoperative data for each patient were collected via review of the electronic medical record. Patient addresses underwent geospatial analysis and were used to extract the Area of Deprivation Index (ADI). Patients with ADIs greater than 75 were considered highly deprived. Univariate comparison and multivariate logistic regressions were used to analyze the relationship between socioeconomic variables and outcomes of interest.</p><p><strong>Results: </strong>In total, 490 patients with CSM met the inclusion and exclusion criteria. The median age at the time of surgery was 60 (IQR 54-68) years. The median ADI was 75 (IQR 57-90). On multivariate regression analysis, unemployment was found to predict readmission within 1 year of index surgery (OR 4.08, 95% CI 1.87-9.61; p < 0.001). Having high ADI (OR 0.53, 95% CI 0.29-0.94; p = 0.033) and being African American (OR 0.51, 95% CI 0.26-0.97; p = 0.043) were found to be independently protective of readmission. Unemployment was found to be an independent predictor of postoperative complications (OR 3.65, 95% CI 1.52-9.82; p = 0.006). On multivariate regression analysis, high ADI (OR 1.69, 95% CI 1.02-2.81; p = 0.042) and living in a skilled nursing facility/residential facility (OR 8.84, 95% CI 3.08-28.5, p < 0.001) were independent predictors of prolonged length of hospital stay postoperatively.</p><p><strong>Conclusions: </strong>This is the first single-institution study investigating the influence of neighborhood-level and employment status on readmission, complications, and lengths of stay in patients with CSM in the Deep South. 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引用次数: 0
摘要
目的:本研究的目的是评估美国南部地区脊髓型颈椎病(CSM)患者再入院、并发症发生率和术后住院时间与社区水平和个人水平社会经济地位的关系。方法:作者使用现行程序术语和ICD-9/ICD-10代码对2010年11月至2022年2月期间接受手术治疗的所有CSM患者进行了识别。通过电子病历收集每位患者的人口统计学、社会经济、围手术期和术后数据。对患者地址进行地理空间分析,并提取剥夺面积指数(ADI)。adi大于75的患者被认为是高度贫困的。采用单变量比较和多变量逻辑回归分析社会经济变量与研究结果之间的关系。结果:490例CSM患者符合纳入和排除标准。手术时的中位年龄为60岁(IQR 54-68)岁。中位ADI为75 (IQR为57-90)。在多变量回归分析中,失业预测指数手术1年内再入院(OR 4.08, 95% CI 1.87-9.61;P < 0.001)。高ADI (OR 0.53, 95% CI 0.29-0.94;p = 0.033)和非裔美国人(OR 0.51, 95% CI 0.26-0.97;P = 0.043)对再入院有独立的保护作用。失业是术后并发症的独立预测因子(OR 3.65, 95% CI 1.52-9.82;P = 0.006)。多因素回归分析,高ADI (OR 1.69, 95% CI 1.02-2.81;p = 0.042)和生活在熟练护理机构/居住设施(OR 8.84, 95% CI 3.08-28.5, p < 0.001)是术后住院时间延长的独立预测因素。结论:这是首个在美国南方腹地调查社区水平和就业状况对CSM患者再入院、并发症和住院时间影响的单机构研究。社会经济地位的邻里水平测量在深南方CSM患者的预后中发挥着复杂而独特的作用,突出了深南方作为一个潜在的独特的地理区域在神经外科结果方面。需要进一步的研究来评估缓解这些差异和改善患者预后的方法。
Neighborhood-level measures of socioeconomic status impact healthcare utilization and surgical outcomes in cervical spondylotic myelopathy patients in the Deep South.
Objective: The aim of this study was to evaluate the association of neighborhood-level and individual-level measures of socioeconomic status with readmission, complication rates, and postoperative length of stay of patients with cervical spondylotic myelopathy (CSM) in the Deep South.
Methods: The authors identified all patients undergoing surgical intervention for the treatment of CSM from November 2010 to February 2022 using Current Procedural Terminology and ICD-9/ICD-10 codes. Patient demographic, socioeconomic, perioperative, and postoperative data for each patient were collected via review of the electronic medical record. Patient addresses underwent geospatial analysis and were used to extract the Area of Deprivation Index (ADI). Patients with ADIs greater than 75 were considered highly deprived. Univariate comparison and multivariate logistic regressions were used to analyze the relationship between socioeconomic variables and outcomes of interest.
Results: In total, 490 patients with CSM met the inclusion and exclusion criteria. The median age at the time of surgery was 60 (IQR 54-68) years. The median ADI was 75 (IQR 57-90). On multivariate regression analysis, unemployment was found to predict readmission within 1 year of index surgery (OR 4.08, 95% CI 1.87-9.61; p < 0.001). Having high ADI (OR 0.53, 95% CI 0.29-0.94; p = 0.033) and being African American (OR 0.51, 95% CI 0.26-0.97; p = 0.043) were found to be independently protective of readmission. Unemployment was found to be an independent predictor of postoperative complications (OR 3.65, 95% CI 1.52-9.82; p = 0.006). On multivariate regression analysis, high ADI (OR 1.69, 95% CI 1.02-2.81; p = 0.042) and living in a skilled nursing facility/residential facility (OR 8.84, 95% CI 3.08-28.5, p < 0.001) were independent predictors of prolonged length of hospital stay postoperatively.
Conclusions: This is the first single-institution study investigating the influence of neighborhood-level and employment status on readmission, complications, and lengths of stay in patients with CSM in the Deep South. Neighborhood-level measures of socioeconomic status play complex and unique roles in CSM patient outcomes in the Deep South, highlighting the Deep South as a potentially unique geographic region in terms of neurosurgical outcomes. Further research is needed to evaluate methods of alleviating these disparities and improve patient outcomes.
期刊介绍:
Primarily publish original works in neurosurgery but also include studies in clinical neurophysiology, organic neurology, ophthalmology, radiology, pathology, and molecular biology.