References
- 2014 National Diabetes Fact Sheet. Centers for Disease Control and Prevention website. 2014. Available at: http://www.cdc.gov/diabetes/pubs/statsreport14/national-diabetes-report-web.pdf [Last accessed 2 September 2014]
- American Diabetes Association. Economic costs of diabetes in the U.S. in 2007. Diabetes Care 2008;31:596-615
- Deshpande AD, Harris-Hayes M, Schootman M. Epidemiology of diabetes and diabetes-related complications. Phys Ther 2008;88:1254-64
- Fitch K, Pyenson BS, Iwasaki K. Medical claim cost impact of improved diabetes control for Medicare and commercially insured patients with type 2 diabetes. J Manag Care Pharm 2013;19:609
- Heaton PC, Desai VCA, Kelton CML, et al. Sulfonylurea use and the risk of hospital readmission in patients with type 2 diabetes. BMC Endocrine Disorders 2016;16:4
- Jiang HJ, Stryer D, Friedman B, et al. Multiple hospitalizations for patients with diabetes. Diabetes Care 2003;26:1421-6
- Jiang HJ, Andrews R, Stryer D, et al. Racial/ethnic disparities in potentially preventable readmissions: the case of diabetes. Am J Publ Health 2005;95:1561-7
- Raval AD, Zhou S, Wei W, et al. 30-Day readmission among elderly Medicare beneficiaries with type 2 diabetes. Population Health Manag 2015;18:256-64
- Medicare Payment Advisory Commission (MedPAC). Report to the Congress: Promoting Greater Efficiency in Medicare. 17 June 2007. Available at: http://www.medpac.gov/documents/reports/Jun07_EntireReport.pdf [Last accessed 21 June 2016]
- Horwitz LI, Grady JN, Cohen DB, et al. Development and validation of an algorithm to identify planned readmissions from claims data. J Hospital Med 2015;10:670-7
- Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol 1992;45:613-19
- Chang HY, Weiner JP, Richards TM, et al. Predicting costs with diabetes complications severity index in claims data. Am J Manag Care 2012;18:213-19
- Agency for Healthcare Research and Quality. HCUP Overview. Healthcare Cost and Utilization Project (HCUP). 2016. Available at: www.hcup-us.ahrq.gov/overview.jsp June 27, 2016
- SAS Enterprise 5.1. Cary, NC: SAS Institute, 2012
- SAS Miner Enterprise. Cary, NC: SAS Institute, 2009
- Enomoto LM, Shrestha DP, Rosenthal MB, et al. Risk factors associated with 30-day readmission and length of stay in patients with type 2 diabetes. J Diabetes Complications 2017;31:122-7
- Rubin DJ, Handorf EA, Golden SH, et al. Development and validation of a novel tool to predict hospital readmission risk amongst patients with diabetes. Endocrine Pract 2016;22:1204-15
- Burke RE, Coleman EA. Interventions to decrease hospital readmissions: keys for cost-effectiveness. JAMA Intern Med 2013;173:695-8
- Eby E, Hardwick C, Yu M, et al. Predictors of 30 day hospital readmission in patients with type 2 diabetes: a retrospective, case–control, database study. Curr Med Res Opin 2015;31:107-14
- Kim H, Ross JS, Melkus GD, et al. Scheduled and unscheduled hospital readmissions among patients with diabetes. Am J Manag Care 2010;16:760-7
- Ma ZQ, Fisher MA. Characteristics driving higher diabetes-related hospitalization charges in Pennsylvania. Am J Manag Care 2014;20:e408-17
- Robbins JM, Webb DA. Diagnosing diabetes and preventing rehospitalizations: the urban diabetes study. Med Care 2006;44:292-6
- Saundankar V, Ellis J, Allen E, et al. Type 2 diabetes mellitus patients’ healthcare costs related to inpatient hospitalizations: a retrospective administrative claims database study. Adv Ther 2015;32:662-79