Creazione di CGM ospedaliero collegato per bambini (CLICK)
Clicca: creazione di cgm ospedaliero collegato per bambini
Continuous glucose monitors (CGMs) are currently used in the inpatient setting at many hospitals for the care of patients with diabetes and for clinical research studies. This includes Boston Children's Hospital, however, the CGM data is not accessible to clinical or research teams in real-time. CGMs measure and display a patient's glucose level every 5 minutes and provide alerts for predicted or actual low or high glucose levels. The CGM data is currently only accessible on bedside handheld receivers or a mobile device app, neither of which sync with the hospital EMR or other hospital databases. This observational study tests a companion mobile Android device app that wirelessly receives real-time outputs from the Dexcom G7 CGM app and transmits the data to a centralized hospital database. That database in turn feeds into an internal BCH web dashboard which allows live data viewing and integration into future clinical decision support tools.
The investigators are testing the hypothesis that the companion mobile app can accurately and efficiently transmit CGM data to a hospital database. Data will be analyzed for accuracy and efficiency by comparing CGM readings captured by the companion app to CGM readings documented in the formal Dexcom database. Accuracy (difference between CGM readings from both sources) and efficiency (number of CGM readings captured) will be assessed. The findings will be generalizable to using the companion app in future research studies.
Panoramica dello studio
Stato
Stato
Condizioni
Condizioni
Descrizione dettagliata
Continuous glucose monitors are currently used in the inpatient setting at Boston Children's Hospital (BCH) for the care of patients with diabetes and for research studies. CGMs measure and display patient's glucose level every 5 minutes and provide alerts for predicted or actual low or high glucose levels. BCH policy allows for use of Dexcom G6 and G7 CGM for glucose monitoring and insulin dosing, so long as the CGM accuracy is verified daily.
Currently, CGM data is not accessible to clinical or research teams in real-time. The CGM data is currently only accessible on bedside handheld receivers or a cell phone app, neither of which syncs with the hospital EMR or other hospital databases. The current clinical workflow requires the bedside caregiver to alert the clinical team of any glucose abnormalities. In order to view and document CGM glucose levels in real-time, clinical and research teams must be physically at the bedside viewing the CGM receiver or the patient's personal cell phone app screen. Teams do have access to the Dexcom Clarity database, an online cloud-based data viewing dashboard, but data transmission is delayed 3 hours from the Dexcom cloud database to Dexcom Clarity.
This observational study tests a companion mobile Android application that receives real-time data from the Dexcom G7 CGM app running on a hospital provided mobile device. The companion app and G7 app modifications were developed from a protocol created by patients in the diabetes community who wanted expanded access to their own data, and was adapted by BCH co-investigators to work entirely within the BCH firewall to access and share the data within BCH. Investigators will recruit individuals using their personal Dexcom G7 CGM in the hospital for clinical care, have the participants use the Dexcom G7 app on a hospital provided Android device, and will test the accuracy and efficiency of data capture by the companion app, all via secure BCH wifi or ethernet. On the hospital device, the Dexcom G7 app has been modified to send Android intra-application messages with CGM readings without identifying information to a companion app. The companion app will transmit the de-identified CGM data to a centralized hospital database that feeds into an internal BCH web dashboard for live data viewing, analysis, and integration into future clinical decision support tools. One anticipated future use of the companion app will be in an upcoming interventional clinical trial of ICU patients receiving IV insulin, in which CGM data will be used to guide insulin infusion rates.
Tipo di studio
Tipo di studio
Contatti e Sedi
Luoghi di studio
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Massachusetts
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Boston, Massachusetts, Stati Uniti, 02115
- Boston Children's Hospital
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Criteri di partecipazione
Criteri di ammissibilità
Criteri di ammissibilità
Età idonea allo studio
Accetta volontari sani
Sessi ammissibili allo studio
Metodo di campionamento
Popolazione di studio
Inpatients at Boston Children's Hospital (BCH) with diabetes, admitted for clinical care purposes, using their personal Dexcom G7 CGM during the inpatient admission.
Descrizione
Inclusion Criteria:
- Inpatients with diabetes using a Dexcom G7 CGM
- Technology/data sharing criteria: use of the Dexcom G7 phone app and data sharing with the BCH Dexcom Clarity Database
- Anticipated discharge date >24 hours after study eligibility
Exclusion Criteria:
- Use of medications that interfere with CGM accuracy
- Use of a Dexcom receiver to view data (rather than the typical mobile phone)
- Enrollment in a competing clinical trial
Piano di studio
Come è strutturato lo studio?
Dettagli di progettazione
- Modelli osservazionali: COHORT
- Prospettive temporali: PROSPECTIVE
Numero di gruppi/coorti
Coorti e interventi
Gruppo / CoorteGruppo / Coorte |
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Pediatric diabetic Dexcom G7 users
Diabetic pediatric patients using their personal Dexcom G7 admitted for clinical care purposes. |
Cosa sta misurando lo studio?
Misure di risultato primarie
Misure di risultato primarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
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Accuracy of CGM data capture.
Lasso di tempo: The earlier of a maximum of 20 days or 72 hours following the first sensor exchange.
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The accuracy of the CGM readings captured will be measured as the mean absolute relative difference (MARD) between the CGM glucose reading captured by the companion app compared to the CGM glucose reading documented in the Dexcom Clarity database within the same 5-minute interval. |
The earlier of a maximum of 20 days or 72 hours following the first sensor exchange.
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Misure di risultato secondarie
Misure di risultato secondarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
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Efficiency of CGM data capture.
Lasso di tempo: The earlier of a maximum of 20 days or 72 hours following the first sensor exchange.
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Efficiency of CGM data capture, measured as the percent of CGM readings documented in Dexcom Clarity that were also captured by the companion app within the same 5-minute interval. |
The earlier of a maximum of 20 days or 72 hours following the first sensor exchange.
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Inizio studio (Stimato)
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Completamento primario (Stimato)
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Completamento dello studio (Stimato)
Completamento dello studio
Date di iscrizione allo studio
Primo inviato
Primo inviato
Primo inviato che soddisfa i criteri di controllo qualità
Primo inviato che soddisfa i criteri di controllo qualità
Primo Inserito (Effettivo)
Primo Inserito
Aggiornamenti dei record di studio
Ultimo aggiornamento pubblicato (Effettivo)
Ultimo aggiornamento pubblicato
Ultimo aggiornamento inviato che soddisfa i criteri QC
Ultimo aggiornamento inviato che soddisfa i criteri QC
Ultimo verificato
Ultimo verificato
Maggiori informazioni
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Termini MeSH pertinenti aggiuntivi
Altri numeri di identificazione dello studio
Altri numeri di identificazione dello studio
- IRB-P00049941
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