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https://ir.csmu.edu.tw:8080/ir/handle/310902500/23681
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Title: | Electronic dashboard-based remote glycemic management program reduces length of stay and readmission rate among hospitalized adults |
Authors: | Sheen, YJ;Huang, CC;Huang, SC;Lin, CH;Lee, IT;Sheu, WHH |
Keywords: | Inpatient glycemic management;Length of stay;Readmission |
Date: | 2021 |
Issue Date: | 2022-08-05T09:41:12Z (UTC)
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Publisher: | WILEY |
ISSN: | 2040-1116 |
Abstract: | Aims/Introduction Currently, the impact of hospital-wide glycemic control interventions on length of hospital stay (LOS) and readmission rates are largely unknown. We investigated the impact of a 4-year hospital-wide remote glycemic management program on LOS and 30-day readmission rates among hospitalized adults who received glucose monitoring. Materials and Methods In this retrospective study, hospitalized patients who received glucose monitoring were classified into groups 1 (high glucose variability), 2 (hypoglycemia), 3 (hyperglycemia) and 4 (relatively stable). The monthly percentage changes, and average monthly percentage changes of hyperglycemia, hypoglycemia and treat to target were determined using joinpoint regression analysis. Results A total of 106,528 hospitalized patients (mean age 60.9 +/- 18.5 years, 57% men) were enrolled. We observed a significant reduction in the percentage of inpatients in poor glycemic control groups (groups 1, 2 and 3, all P < 0.001), and a reciprocal increase in the relatively stable group (group 4) from 2016 to 2019. We found a significant reduction in LOS by 11.4% (10.5-9.3 days, P = 0.002, after adjustment for age, sex, and admission department). The 30-day readmission rate decreased from 29.9% to 29.3%, mainly among those in group 4 in 2019 (P < 0.001 after adjustment of sex, age, admission department and LOS). Conclusions Improved glycemic control through a hospital-wide electronic remote glycemic management system reduced LOS and 30-day readmission rates. Findings observed in this study might be associated with the reduction in cost of avoidable hospitalizations. |
URI: | http://dx.doi.org/10.1111/jdi.13500 https://www.webofscience.com/wos/woscc/full-record/WOS:000619848300001 https://ir.csmu.edu.tw:8080/handle/310902500/23681 |
Relation: | JOURNAL OF DIABETES INVESTIGATION ,2021,v12,issue 9, P1697-1707 |
Appears in Collections: | [中山醫學大學研究成果] 期刊論文
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