Meddings Jennifer, Reichert Heidi, Smith Shawna N, Iwashyna Theodore J, Langa Kenneth M, Hofer Timothy P, McMahon Laurence F
Department of Internal Medicine, Division of General Medicine, University of Michigan Medical School, 2800 Plymouth Road, Building 16, 430W, Ann Arbor, MI, 48109, USA.
Department of Pediatrics and Communicable Diseases, Division of General Pediatrics, University of Michigan Medical School, Ann Arbor, MI, USA.
J Gen Intern Med. 2017 Jan;32(1):71-80. doi: 10.1007/s11606-016-3869-x. Epub 2016 Nov 15.
Readmission rates after pneumonia, heart failure, and acute myocardial infarction hospitalizations are risk-adjusted for age, gender, and medical comorbidities and used to penalize hospitals.
To assess the impact of disability and social determinants of health on condition-specific readmissions beyond current risk adjustment.
DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study of Medicare patients using 1) linked Health and Retirement Study-Medicare claims data (HRS-CMS) and 2) Healthcare Cost and Utilization Project State Inpatient Databases (Florida, Washington) linked with ZIP Code-level measures from the Census American Community Survey (ACS-HCUP). Multilevel logistic regression models assessed the impact of disability and selected social determinants of health on readmission beyond current risk adjustment.
Outcomes measured were readmissions ≤30 days after hospitalizations for pneumonia, heart failure, or acute myocardial infarction. HRS-CMS models included disability measures (activities of daily living [ADL] limitations, cognitive impairment, nursing home residence, home healthcare use) and social determinants of health (spouse, children, wealth, Medicaid, race). ACS-HCUP model measures were ZIP Code-percentage of residents ≥65 years of age with ADL difficulty, spouse, income, Medicaid, and patient-level and hospital-level race.
For pneumonia, ≥3 ADL difficulties (OR 1.61, CI 1.079-2.391) and prior home healthcare needs (OR 1.68, CI 1.204-2.355) increased readmission in HRS-CMS models (N = 1631); ADL difficulties (OR 1.20, CI 1.063-1.352) and 'other' race (OR 1.14, CI 1.001-1.301) increased readmission in ACS-HCUP models (N = 27,297). For heart failure, children (OR 0.66, CI 0.437-0.984) and wealth (OR 0.53, CI 0.349-0.787) lowered readmission in HRS-CMS models (N = 2068), while black (OR 1.17, CI 1.056-1.292) and 'other' race (OR 1.14, CI 1.036-1.260) increased readmission in ACS-HCUP models (N = 37,612). For acute myocardial infarction, nursing home status (OR 4.04, CI 1.212-13.440) increased readmission in HRS-CMS models (N = 833); 'other' patient-level race (OR 1.18, CI 1.012-1.385) and hospital-level race (OR 1.06, CI 1.001-1.125) increased readmission in ACS-HCUP models (N = 17,496).
Disability and social determinants of health influence readmission risk when added to the current Medicare risk adjustment models, but the effect varies by condition.
肺炎、心力衰竭和急性心肌梗死后的再入院率会根据年龄、性别和医疗合并症进行风险调整,并用于对医院进行惩罚。
评估残疾和健康的社会决定因素对当前风险调整之外特定疾病再入院的影响。
设计、设置和参与者:对医疗保险患者进行回顾性队列研究,使用1)健康与退休研究-医疗保险索赔数据(HRS-CMS)链接数据,以及2)医疗成本和利用项目州住院数据库(佛罗里达州、华盛顿州)与美国人口普查社区调查(ACS-HCUP)的邮政编码级测量数据相链接。多水平逻辑回归模型评估了残疾和选定的健康社会决定因素对当前风险调整之外再入院的影响。
测量的结果是肺炎、心力衰竭或急性心肌梗死后住院≤30天内的再入院情况。HRS-CMS模型包括残疾测量指标(日常生活活动[ADL]受限、认知障碍、养老院居住、家庭医疗保健使用)和健康的社会决定因素(配偶、子女、财富、医疗补助、种族)。ACS-HCUP模型测量指标是邮政编码区域内≥65岁有ADL困难的居民百分比、配偶、收入、医疗补助以及患者层面和医院层面的种族。
对于肺炎,在HRS-CMS模型(N = 1631)中,≥3项ADL困难(比值比[OR]1.61,置信区间[CI]1.079 - 2.391)和先前的家庭医疗保健需求(OR 1.68,CI 1.204 - 2.355)会增加再入院率;在ACS-HCUP模型(N = 27297)中,ADL困难(OR 1.20,CI 1.063 - 1.352)和“其他”种族(OR 1.14,CI 1.001 - 1.301)会增加再入院率。对于心力衰竭,在HRS-CMS模型(N = 2068)中,有子女(OR 0.66,CI 0.437 - 0.984)和财富(OR 0.53,CI 0.349 - 0.787)会降低再入院率,而在ACS-HCUP模型(N = 37612)中,黑人(OR 1.17,CI 1.056 - 1.292)和“其他”种族(OR 1.14,CI 1.036 - 1.260)会增加再入院率。对于急性心肌梗死,在HRS-CMS模型(N = 833)中,养老院状态(OR 4.04,CI 1.212 - 13.440)会增加再入院率;在ACS-HCUP模型(N = 17496)中,“其他”患者层面的种族(OR 1.18,CI 1.012 - 1.385)和医院层面的种族(OR 1.06,CI 1.001 - 1.125)会增加再入院率。
当将残疾和健康的社会决定因素添加到当前医疗保险风险调整模型中时,它们会影响再入院风险,但影响因疾病而异。