Digital Interventions to improve safety and quality of inpatient diabetes management: a systematic review

Author(s):  
Benjamin Sly ◽  
Anthony W Russell ◽  
Clair Sullivan
2021 ◽  
pp. 193229682110079
Author(s):  
Mihail Zilbermint

The endocrine hospitalist and inpatient diabetes management team increases access to endocrinology consultations and improves glycemic control and quality metrics such as length of stay and hospital readmission. Enhanced glycemic care is needed in both academic and community hospital settings. Endocrine fellowship programs should implement endocrine hospitalist rotations with emphasis on training endocrine fellows to deliver fast-paced inpatient endocrine care. Entrepreneurship, innovation, and a “start-up” culture within the field of Endocrinology should be encouraged and supported by healthcare systems.


2020 ◽  
Author(s):  
Dongjun Wu ◽  
Nicholas Buys ◽  
Guandong Xu ◽  
Jing Sun

UNSTRUCTURED Aims: This systematic review and meta-analysis aimed to evaluate the effects of wearable technologies on HbA1c, blood pressure, body mass index (BMI), and fastening blood glucose (FBG) in patients with diabetes. Methods: We searched PubMed, Scopus, Embase, the Cochrane database, and the Chinese CNKI database from last 15 years until August 2021. The quality of the 16 included studies was assessed using the PEDro scale, and random effect models were used to estimate outcomes, with I2 used for heterogeneity testing. Results: A significant reduction in HbA1c (-0.475% [95% CI -0.692 to -0.257, P<0.001]) was found following telemonitoring. However, the results of the meta-analysis did not show significant changes in blood pressure, BMI, and glucose, in the intervention group (P>0.05), although the effect size for systolic blood pressure (0.389) and diastolic blood pressure may indicate a significant effect. Subgroup analysis revealed statistically significant effects of wearable technologies on HbA1c when supported by dietetic interventions (P<0.001), medication monitoring (P<0.001), and relapse prevention (P<0.001). Online messages and telephone interventions significantly affected HbA1c levels (P<0.001). Trials with additional online face-to-face interventions showed greater reductions in HbA1c levels. Remote interventions including dietetic advice (P<0.001), medication (P<0.001), and relapse prevention (P<0.001) during telemonitoring showed a significant effect on HbA1c, particularly in patients attending ten or more intervention sessions (P<0.001). Conclusion: Wearable technologies can improve diabetes management by simplifying self-monitoring, allowing patients to upload their live measurement results frequently and thereby improving the quality of telemedicine. Wearable technologies also facilitate remote medication management, dietetic interventions, and relapse prevention.


2015 ◽  
Vol 17 (4) ◽  
pp. 225-228 ◽  
Author(s):  
Guillermo E. Umpierrez ◽  
Kathleen Dungan

2018 ◽  
Vol 6 (1) ◽  
pp. e000460 ◽  
Author(s):  
Vivek Bansal ◽  
Adham Mottalib ◽  
Taranveer K Pawar ◽  
Noormuhammad Abbasakoor ◽  
Eunice Chuang ◽  
...  

ObjectiveWe compared the cost-effectiveness of two inpatient diabetes care models: one offered by a specialized diabetes team (SDT) versus a primary service team (PST).Research design and methodsWe retrospectively evaluated 756 hospital admissions of patients with diabetes to non-critical care units over 6 months. Out of 392 patients who met the eligibility criteria, 262 were matched 1:1 based on the mean of the initial four blood glucose (BG) values after admission. Primary outcomes were 30-day readmission rate and frequency, hospital length of stay (LOS) and estimated hospital cost. Secondary outcomes included glycemic control and BG variability.ResultsDiabetes complexity and in-hospital complications were significantly higher among patients treated by SDT versus PST. Thirty-day readmission rate to medical services was lower by 30.5% in the SDT group versus the PST group (P<0.001), while 30-day readmission rate to surgical services was 5% higher in the SDT group versus the PST group (P<0.05), but frequency of 30-day readmissions was lower (1.1 vs 1.6 times, P<0.05). LOS in medical services was not different between the two groups, but it was significantly longer in surgical services in SDT (P<0.05). However, LOS was significantly lower in patients who were seen by SDT during the first 24 hours of admission compared with those who were seen after that (4.7 vs 6.1 days, P<0.001). Compliance to follow-up was higher in the SDT group. These changes were translated into considerable cost saving.ConclusionsInpatient diabetes management by an SDT significantly reduces 30-day readmission rate to medical services, reduces inpatient diabetes cost, and improves transition of care and adherence to follow-up. SDT consultation during the first 24 hours of admission was associated with a significantly shorter hospital LOS.


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