Evaluating Feasibility of Personal Diabetes Device Data Collection for Research
| العنوان: | Evaluating Feasibility of Personal Diabetes Device Data Collection for Research |
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| المؤلفون: | Heather L. Tubbs-Cooley, Lisa K. Militello, Eileen R Faulds, Mary Beth Happ |
| المصدر: | Nurs Res |
| بيانات النشر: | Ovid Technologies (Wolters Kluwer Health), 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Male, Insulin pump, Adolescent, Computer science, Download, Article, 03 medical and health sciences, Insulin Infusion Systems, 0302 clinical medicine, Software, Data retrieval, Research participant, Humans, Hypoglycemic Agents, Insulin, 030212 general & internal medicine, General Nursing, Data collection, 030504 nursing, business.industry, Blood Glucose Self-Monitoring, Usability, Data science, Diabetes Mellitus, Type 1, Feasibility Studies, Female, 0305 other medical science, business, Raw data |
| الوصف: | Background Diabetes devices, like insulin pumps and continuous glucose monitors (CGMs), capture and store patient adherence and utilization data that can be retrieved or downloaded providing objective information on self-management behaviors; yet, diabetes device data remain underutilized in research. Objective The aim of the study was to examine the usability and feasibility of personal diabetes device data collected using a clinical download platform retooled for research purposes. Methods Investigators evaluated the feasibility of raw diabetes device data collection. One hundred eight preteens and adolescents with Type 1 diabetes and their parents provided consent/assent. Results Data were successfully collected from the diabetes devices (insulin pumps and CGM) of 97 youth using a clinical download software adapted for research, including data from all three commercially available CGM systems and insulin pumps brands, which contained all current and previous models of each insulin pump brand. The time required to download, mode of connection, and process varied significantly between brands. Despite the use of an agnostic download software, some outdated device brands and cloud-based CGM data were unsupported during data collection. Within the download software, dummy clinical accounts were created for each study participant, which were then linked back to a master study account for data retrieval. Raw device data were extracted into seven to eight Excel files per participant, which were then used to develop aggregate daily measures. Discussion Our analysis is the first of its kind to examine the feasibility of raw diabetes device data using a clinical download software. The investigators highlight issues encountered throughout the research process, along with mitigating strategies to inform future inquiry. Conclusion This study demonstrates the feasibility of raw data collection, from a wide variety of insulin pump and CGM brands, through the retooling of a clinical download software. Data from these personal devices provide a unique opportunity to study self-management behavior and the glycemic response of individuals in their everyday environments. |
| تدمد: | 1538-9847 0029-6562 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f97ee8968547930be086650fda5ba82cTest https://doi.org/10.1097/nnr.0000000000000464Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....f97ee8968547930be086650fda5ba82c |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15389847 00296562 |
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