子供向けにリンクされた入院CGMを作成します (CLICK)
クリック：子供向けのリンク入院患者CGMの作成
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.
調査の概要
状態
詳細な説明
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.
研究の種類
連絡先と場所
研究場所
-
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Massachusetts
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Boston、Massachusetts、アメリカ、02115
- Boston Children's Hospital
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参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
サンプリング方法
調査対象母集団
Inpatients at Boston Children's Hospital (BCH) with diabetes, admitted for clinical care purposes, using their personal Dexcom G7 CGM during the inpatient admission.
説明
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
研究計画
研究はどのように設計されていますか？
デザインの詳細
- 観測モデル：COHORT
- 時間の展望：PROSPECTIVE
コホートと介入
グループ/コホート |
|---|
|
Pediatric diabetic Dexcom G7 users
Diabetic pediatric patients using their personal Dexcom G7 admitted for clinical care purposes. |
この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Accuracy of CGM data capture.
時間枠：The earlier of a maximum of 20 days or 72 hours following the first sensor exchange.
|
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.
|
二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Efficiency of CGM data capture.
時間枠：The earlier of a maximum of 20 days or 72 hours following the first sensor exchange.
|
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.
|
協力者と研究者
研究記録日
主要日程の研究
研究開始 (推定)
一次修了 (推定)
研究の完了 (推定)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
キーワード
その他の研究ID番号
- IRB-P00049941
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
米国FDA規制機器製品の研究
この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。