Association of Socioeconomic Area Deprivation Index with Hospital Readmissions After Colon and Rectal Surgery

被引:61
作者
Ghirimoldi, Federico M. [1 ,2 ,3 ]
Schmidt, Susanne [1 ,2 ,3 ]
Simon, Richard C. [1 ,2 ,3 ]
Wang, Chen-Pin [1 ,2 ,3 ,4 ]
Wang, Zhu [1 ,2 ,3 ]
Brimhall, Bradley B. [1 ,2 ,3 ,5 ]
Damien, Paul [6 ]
Moffett, Eric E. [1 ,2 ,3 ]
Manuel, Laura S. [1 ,2 ,3 ]
Sarwar, Zaheer U. [1 ,2 ,3 ]
Shireman, Paula K. [1 ,2 ,3 ,4 ,5 ]
机构
[1] Univ Texas Hlth San Antonio, Dept Surg, Long Sch Med, 7703 Floyd Curl Dr,MC 7741, San Antonio, TX 78229 USA
[2] Univ Texas Hlth San Antonio, Dept Populat Hlth Sci, Long Sch Med, 7703 Floyd Curl Dr,MC 7741, San Antonio, TX 78229 USA
[3] Univ Texas Hlth San Antonio, Dept Pathol, Long Sch Med, 7703 Floyd Curl Dr,MC 7741, San Antonio, TX 78229 USA
[4] South Texas Vet Hlth Care Syst, San Antonio, TX 78229 USA
[5] Univ Hlth Syst, San Antonio, TX 78229 USA
[6] Univ Texas Austin, Dept Informat Risk & Operat Management, McCombs Sch Business, Austin, TX 78712 USA
基金
美国国家卫生研究院;
关键词
Colectomy; Social risk factors; Outcomes; Distressed communities index; National Surgical Quality Improvement Program; SURGICAL RISK CALCULATOR; HEALTH DISPARITIES; CLINICAL REGISTRY; IMPACT; PROGRAM; RATES; COMPLICATIONS; DISADVANTAGE; OUTCOMES; CARE;
D O I
10.1007/s11605-020-04754-9
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Background Risk adjustment for reimbursement and quality measures omits social risk factors despite adversely affecting health outcomes. Social risk factors are not usually available in electronic health records (EHR) or administrative data. Socioeconomic status can be assessed by using US Census data. Distressed Communities Index (DCI) is based upon zip codes, and the Area Deprivation Index (ADI) provides more granular estimates at the block group level. We examined the association of neighborhood disadvantage using the ADI, DCI, and patient-level insurance status on 30-day readmission risk after colorectal surgery. Methods Our 677 patient cohort was derived from the 2013-2017 National Surgical Quality Improvement Program at a safety net hospital augmented with EHR data to determine insurance status and 30-day readmissions. Patients' home addresses were linked to the ADI and DCI. Results Our cohort consisted of 53.9% males and 63.8% Hispanics with a 22.9% 30-day readmission rate from the date of discharge; > 50% lived in highly deprived neighborhoods. Controlling for medical comorbidities and complications, ADI was associated with increased risk of 30 days from the date of discharge readmissions among patients living in medium (OR = 2.15,p = .02) or high (OR = 1.88,p = .03) deprived areas compared to less-deprived neighborhoods, but not insurance status or DCI. Conclusions The ADI identified patients living in deprived communities with increased readmission risk. Our results show that block-group level ADI can potentially be used in risk adjustment, to identify high-risk patients and to design better care pathways that improve health outcomes.
引用
收藏
页码:795 / 808
页数:14
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