ArticleJournal of clinical monitoring and computing2016
Intraoperative blood glucose management: impact of a real-time decision support system on adherence to institutional protocol.
Article in Journal of clinical monitoring and computing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.
- Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- A systematic review of near real-time and point-of-care clinical decision support in anesthesia information management systems.Journal of clinical monitoring and computing · 2017Pooled it
- Intraoperative glycemic control in patients undergoing Orthotopic liver transplant: a single center prospective randomized study.BMC anesthesiology · 2020Trial
- Intraoperative glycemic protocol calculator: automation in the OR.Journal of clinical monitoring and computing · 2025Article
- Anesthesia decision analysis using a cloud-based big data platform.European journal of medical research · 2024Review
- Efficacy of Electronic Reminders in Increasing the Enhanced Recovery After Surgery Protocol Use During Major Breast Surgery: Prospective Cohort Study.JMIR perioperative medicine · 2023Article
- Implementation of App-Based Diabetes Medication Management: Outpatient and Perioperative Clinical Decision Support.Current diabetes reports · 2021Review
- The Impact of an Intraoperative Clinical Decision Support Tool to Optimize Perioperative Glycemic Management.Journal of medical systems · 2020Article
- Terminology, communication, and information systems in nonoperating room anaesthesia in the COVID-19 era.Current opinion in anaesthesiology · 2020Review
- Development and Implementation of the Portable Operating Room Tracker App With Vital Signs Streaming Infrastructure: Operational Feasibility Study.JMIR perioperative medicine · 2019Article
- Study protocol for the Anesthesiology Control Tower-Feedback Alerts to Supplement Treatments (ACTFAST-3) trial: a pilot randomized controlled trial in intraoperative telemedicine.F1000Research · 2018Article
- Continuous intraoperative epidural infusions affect recovery room length of stay and analgesic requirements: a single-center observational study.Journal of anesthesia · 2017Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Poor perioperative glycemic management can lead to negative surgical outcome. Improved compliance to glucose control protocol could lead to better glucose management. An Anesthesia Information Management System based decision support system-Smart Anesthesia Manager™ (SAM) was used to generate real-time reminders to the anesthesia providers to closely adhere to our institutional glucose management protocol. Compliance to hourly glucose measurements and correct insulin dose adjustments was compared for the baseline period (12 months) without SAM and the intervention period (12 months) with SAM decision support. Additionally, glucose management parameters were compared for the baseline and intervention periods. A total of 1587 cases during baseline and 1997 cases during intervention met the criteria for glucose management (diabetic patients or non-diabetic patients with glucose level >140 mg/dL). Among the intervention cases anesthesia providers chose to use SAM reminders 48.7 % of the time primarily for patients who had diabetes, higher HbA1C or body mass index, while disabling the system for the remaining cases. Compliance to hourly glucose measurement and correct insulin doses increased significantly during the intervention period when compared with the baseline (from 52.6 to 71.2 % and from 13.5 to 24.4 %, respectively). In spite of improved compliance to institutional protocol, the mean glucose levels and other glycemic management parameters did not show significant improvement with SAM reminders. Real-time electronic reminders improved intraoperative compliance to institutional glucose management protocol though glycemic parameters did not improve even when there was greater compliance to the protocol.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.