Mohammad B Ateya1, Ranjit Aiyagari, Colleen Moran, Kanakadurga Singer. 1. Ateya, Mohammad B., Health Information Technology & Services, University of Michigan Health System, Ann Arbor, MI, Email: mateya@med.umich.edu, Postal Address: 4251 Plymouth Road, Suite 3300, Ann Arbor, MI 48105-3640.
Abstract
BACKGROUND: Insulin dosing in hospitalized pediatric patients is challenging and requires dosing to be matched with the specific clinical and nutritional circumstances. We implemented a customized subcutaneous insulin bolus dose calculator tool integrated with the electronic health record to improve patient care. Here we describe this tool, its utilization and safety, and assess user satisfaction and perceptions of the tool. METHODS: Blood glucose results for all patients who received insulin with and without the calculator tool were compared to assess safety. To assess user perceptions and satisfaction, a survey was sent to all identified users who interacted with the tool during the period from May 2015 to the end of November 2015. Survey responses were summarized, mean user satisfaction calculated, and correlation of Likert scale items with overall satisfaction assessed. RESULTS: Hypoglycemia rates (2.2% and 2.9%, p = 0.17) and severe hypoglycemia rates (0.04% and 0.1%, p = 0.21) were similar for the groups that received insulin with and without the calculator tool. Overall satisfaction for all survey respondents was high (4.05, SD = 0.83). Physicians indicated a slightly higher satisfaction than nurses (4.33 versus 3.94, p = 0.04). User agreement with improvement of quality of care showed the highest correlation with overall satisfaction (r = 0.80, 95% CI 0.7 - 0.87). CONCLUSION: Implementation of an insulin calculator tool streamlined ordering and administration of insulin in a pediatric academic institution while maintaining patient safety. Users indicated high overall satisfaction with the tool.
BACKGROUND:Insulin dosing in hospitalized pediatric patients is challenging and requires dosing to be matched with the specific clinical and nutritional circumstances. We implemented a customized subcutaneous insulin bolus dose calculator tool integrated with the electronic health record to improve patient care. Here we describe this tool, its utilization and safety, and assess user satisfaction and perceptions of the tool. METHODS:Blood glucose results for all patients who received insulin with and without the calculator tool were compared to assess safety. To assess user perceptions and satisfaction, a survey was sent to all identified users who interacted with the tool during the period from May 2015 to the end of November 2015. Survey responses were summarized, mean user satisfaction calculated, and correlation of Likert scale items with overall satisfaction assessed. RESULTS:Hypoglycemia rates (2.2% and 2.9%, p = 0.17) and severe hypoglycemia rates (0.04% and 0.1%, p = 0.21) were similar for the groups that received insulin with and without the calculator tool. Overall satisfaction for all survey respondents was high (4.05, SD = 0.83). Physicians indicated a slightly higher satisfaction than nurses (4.33 versus 3.94, p = 0.04). User agreement with improvement of quality of care showed the highest correlation with overall satisfaction (r = 0.80, 95% CI 0.7 - 0.87). CONCLUSION: Implementation of an insulin calculator tool streamlined ordering and administration of insulin in a pediatric academic institution while maintaining patient safety. Users indicated high overall satisfaction with the tool.
Entities:
Keywords:
Diabetes mellitus; clinical decision support; electronic health records and systems; inpatient CPOE; medication administration records; orderset; satisfaction
Authors: Trang T Ly; David M Maahs; Arleta Rewers; David Dunger; Abiola Oduwole; Timothy W Jones Journal: Pediatr Diabetes Date: 2014-07-12 Impact factor: 4.866
Authors: Christoph U Lehmann; George R Kim; Renmeet Gujral; Michael A Veltri; John S Clark; Marlene R Miller Journal: Pediatr Crit Care Med Date: 2006-05 Impact factor: 3.624
Authors: M Weiner; T Gress; D R Thiemann; M Jenckes; S L Reel; S F Mandell; E B Bass Journal: J Am Med Inform Assoc Date: 1999 May-Jun Impact factor: 4.497
Authors: Etie S Moghissi; Mary T Korytkowski; Monica DiNardo; Daniel Einhorn; Richard Hellman; Irl B Hirsch; Silvio E Inzucchi; Faramarz Ismail-Beigi; M Sue Kirkman; Guillermo E Umpierrez Journal: Diabetes Care Date: 2009-05-08 Impact factor: 19.112
Authors: Hala K El Mikati; Lisa Yazel-Smith; Randall W Grout; Stephen M Downs; Aaron E Carroll; Tamara S Hannon Journal: Appl Clin Inform Date: 2020-05-13 Impact factor: 2.342
Authors: Valerie D Nolt; Adrian Araya; Mohammed B Ateya; Ming Chen; Jennifer Kelley; Patrick Arnold; Kanakadurga Singer Journal: J Diabetes Sci Technol Date: 2020-08-24
Authors: Wolfgang Rödle; Stefan Wimmer; Julia Zahn; Hans-Ulrich Prokosch; Bernward Hinkes; Antje Neubert; Wolfgang Rascher; Stefan Kraus; Dennis Toddenroth; Brita Sedlmayr Journal: Appl Clin Inform Date: 2019-08-07 Impact factor: 2.342