Abstract
Abstract
Background
The use of post-acute care (PAC) for cardiovascular conditions is highly variable across geographical regions. Although PAC benefits include lower readmission rates, better clinical outcomes, and lower mortality, referral patterns vary widely, raising concerns about substandard care and inflated costs. The objective of this study is to identify factors associated with PAC referral decisions at acute care discharge.
Methods
This study is a retrospective Electronic Health Records (EHR) based review of a cohort of patients with coronary artery bypass graft (CABG) and valve replacement (VR). EHR records were extracted from the Cerner Health-Facts Data warehouse and covered 49 hospitals in the United States of America (U.S.) from January 2010 to December 2015. Multinomial logistic regression was used to identify associations of 29 variables comprising patient characteristics, hospital profiles, and patient conditions at discharge.
Results
The cohort had 14,224 patients with mean age 63.5 years, with 10,234 (71.9%) male and 11,946 (84%) Caucasian, with 5827 (40.96%) being discharged to home without additional care (Home), 5226 (36.74%) to home health care (HHC), 1721 (12.10%) to skilled nursing facilities (SNF), 1168 (8.22%) to inpatient rehabilitation facilities (IRF), 164 (1.15%) to long term care hospitals (LTCH), and 118 (0.83%) to other locations. Census division, hospital size, teaching hospital status, gender, age, marital status, length of stay, and Charlson comorbidity index were identified as highly significant variables (p- values < 0.001) that influence the PAC referral decision. Overall model accuracy was 62.6%, and multiclass Area Under the Curve (AUC) values were for Home: 0.72; HHC: 0.72; SNF: 0.58; IRF: 0.53; LTCH: 0.52, and others: 0.46.
Conclusions
Census location of the acute care hospital was highly associated with PAC referral practices, as was hospital capacity, with larger hospitals referring patients to PAC at a greater rate than smaller hospitals. Race and gender were also statistically significant, with Asians, Hispanics, and Native Americans being less likely to be referred to PAC compared to Caucasians, and female patients being more likely to be referred than males. Additional analysis indicated that PAC referral practices are also influenced by the mix of PAC services offered in each region.
Funder
Texas A and M Engineering Experiment Station, Texas A and M University
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Health Policy,Computer Science Applications
Reference49 articles.
1. Jubelt LE, Goldfeld KS, Chung W, Blecker SB, Horwitz LI. Changes in discharge location and readmission rates under bundled payment. JAMA Intern Med. 2016;176:115–7.
2. Sacks GD, Lawson EH, Dawes AJ, Weiss RE, Russell MM, Brook RH, et al. Variation in hospital use of postacute care after surgery and the association with care quality. Med Care. 2016;54:172–9.
3. Medicare’s post-acute care: Trends and ways to rationalize payments. Rep. to Congr. Medicare Paym. Policy. 2015. 163. Available from: http://www.medpac.gov/docs/default-source/reports/chapter-7-medicare-s-post-acute-care-trends-and-ways-to-rationalize-payments-march-2015-report-.pdf?sfvrsn=0. Accessed 21 Apr 2018.
4. Mechanic R. Post-acute care — the next frontier for controlling medicare. N Engl J Med. 2014;370:692–4.
5. Newhouse J, Garber A, Graham R. Contributors to Geographic Variation in Medicare Spending. Interim Rep. Comm. Geogr. Var. Heal. Care Spend. Promot. High-Value Heal. Care Prelim. Comm. Obs. . 2013. Available from: https://www.ncbi.nlm.nih.gov/books/NBK201532/. Accessed 21 Apr 2018.
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献