Balasubramanian Bijal A, Garcia Michael P, Corley Douglas A, Doubeni Chyke A, Haas Jennifer S, Kamineni Aruna, Quinn Virginia P, Wernli Karen, Zheng Yingye, Skinner Celette Sugg
Department of Epidemiology, Human Genetics, and Environmental Sciences, UTHealth School of Public Health in Dallas Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA Division of Research, Kaiser Permanente Northern California, Oakland, CA Department of Family Medicine and Community Health, and the Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA Group Health Research Institute, Seattle, WA Research & Evaluation Department, Kaiser Permanente Southern California, Pasadena, CA Department of Biostatistics and Biomathematics, Division of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA Department of Clinical Sciences and Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical School, Dallas, TX.
Medicine (Baltimore). 2017 Mar;96(11):e6326. doi: 10.1097/MD.0000000000006326.
Previous research shows that patients in integrated health systems experience fewer racial disparities compared with more traditional healthcare systems. Little is known about patterns of racial/ethnic disparities between safety-net and non safety-net integrated health systems.We evaluated racial/ethnic differences in body mass index (BMI) and the Charlson comorbidity index from 3 non safety-net- and 1 safety-net integrated health systems in a cross-sectional study. Multinomial logistic regression modeled comorbidity and BMI on race/ethnicity and health care system type adjusting for age, sex, insurance, and zip-code-level incomeThe study included 1.38 million patients. Higher proportions of safety-net versus non safety-net patients had comorbidity score of 3+ (11.1% vs. 5.0%) and BMI ≥35 (27.7% vs. 15.8%). In both types of systems, blacks and Hispanics were more likely than whites to have higher BMIs. Whites were more likely than blacks or Hispanics to have higher comorbidity scores in a safety net system, but less likely to have higher scores in the non safety-nets. The odds of comorbidity score 3+ and BMI 35+ in blacks relative to whites were significantly lower in safety-net than in non safety-net settings.Racial/ethnic differences were present within both safety-net and non safety-net integrated health systems, but patterns differed. Understanding patterns of racial/ethnic differences in health outcomes in safety-net and non safety-net integrated health systems is important to tailor interventions to eliminate racial/ethnic disparities in health and health care.
先前的研究表明,与更为传统的医疗保健系统相比,综合医疗系统中的患者所经历的种族差异更少。对于安全网和非安全网综合医疗系统之间的种族/民族差异模式,我们知之甚少。在一项横断面研究中,我们评估了来自3个非安全网和1个安全网综合医疗系统的体重指数(BMI)和查尔森合并症指数的种族/民族差异。多项逻辑回归模型根据种族/民族和医疗保健系统类型对合并症和BMI进行建模,并对年龄、性别、保险和邮政编码级别的收入进行了调整。该研究纳入了138万名患者。与非安全网患者相比,安全网患者中合并症评分为3分及以上的比例更高(11.1%对5.0%),BMI≥35的比例也更高(27.7%对15.8%)。在这两种类型的系统中,黑人和西班牙裔比白人更有可能具有更高的BMI。在安全网系统中,白人比黑人和西班牙裔更有可能具有更高的合并症评分,但在非安全网系统中则不太可能具有更高的评分。与白人相比,黑人在安全网环境中合并症评分为3分及以上和BMI为35及以上的几率显著低于非安全网环境。安全网和非安全网综合医疗系统中都存在种族/民族差异,但模式有所不同。了解安全网和非安全网综合医疗系统中健康结果的种族/民族差异模式对于制定干预措施以消除健康和医疗保健方面的种族/民族差异非常重要。