Abstract
This letter introduces a transition flow model to study fall-related emergency department (ED) revisits for elderly patients with diabetes. Five diabetes classes are used to classify patients at discharge, within 7-day revisits, and between 8 and 30-day revisits. Analytical formulas to evaluate patient revisiting risks are derived. To reduce revisits, sensitivity analysis is introduced to identify the most critical, i.e., dominant, factors whose changes can lead to the largest reduction in revisits. In addition, a case study at University of Wisconsin (UW) Hospital ED is described to illustrate the applicability of the model. © 2021 IEEE.
| Original language | English |
|---|---|
| Pages (from-to) | 5642-5649 |
| Number of pages | 8 |
| Journal | IEEE Robotics and Automation Letters |
| Volume | 6 |
| Issue number | 3 |
| Online published | 19 May 2021 |
| DOIs | |
| Publication status | Published - Jul 2021 |
| Externally published | Yes |
Funding
This work was supported in part by Grant 5R18HS026624 from the Agency for Healthcare Research and Quality (AHRQ), and Grant UL1TR000427 from the Clinical and Translational ScienceAward (CTSA)program through theNIH NationalCenter forAdvancing Translational Sciences (NCATS), and in part by the University of Wisconsin School of Medicine and Public Health through Wisconsin Partnership Program funding to the Wisconsin Institute for Healthcare Engineering, and in part by the Health Innovation Program. The content is solely the responsibility of the authors and does not necessarily represent the official views of the AHRQ and the NIH.
Research Keywords
- diabetes
- elder patients
- Emergency department
- falls
- revisits
- transition flow model
