Christine Field, Kartik K Venkatesh, Elizabeth O Buschur
{"title":"Review of Patient Perspectives and Psychosocial Experiences With Automated Insulin Delivery in Pregnancy With Type 1 Diabetes.","authors":"Christine Field, Kartik K Venkatesh, Elizabeth O Buschur","doi":"10.1177/19322968251329288","DOIUrl":null,"url":null,"abstract":"<p><p>Pregnancy adds unique medical and psychosocial complexity to the management of type 1 diabetes (TID). Automated insulin delivery (AID) use in pregnancy increasingly shows promise both in improving clinical outcomes and the patient experience for individuals living with T1D. Survey and qualitative data on psychosocial correlates of AID use in pregnancy demonstrate patient benefits compared with other glucose management strategies (such as multiple daily injections, continuous subcutaneous insulin infusion, or sensor-augmented pump therapy). Benefits include improved patient well-being, flexibility, and improved collaboration with health care provider teams. However, burdens have also been identified, including technical glitches, device maintenance, device bulk/visibility, frequent alarms, and the overwhelming quantity of available data. This review describes the lived experiences and perspectives of pregnant individuals with T1D using AID systems. Ongoing education and support for both patients and providers may help to maximize the psychosocial benefits of AID use and reduce potentially negative aspects for pregnant individuals with T1D. While AID represents a significant opportunity for optimizing glucose management for individuals with T1D, both patients and providers need to have realistic expectations based on evidence of what such systems can and cannot do.</p>","PeriodicalId":15475,"journal":{"name":"Journal of Diabetes Science and Technology","volume":" ","pages":"19322968251329288"},"PeriodicalIF":4.1000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948258/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/19322968251329288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
Pregnancy adds unique medical and psychosocial complexity to the management of type 1 diabetes (TID). Automated insulin delivery (AID) use in pregnancy increasingly shows promise both in improving clinical outcomes and the patient experience for individuals living with T1D. Survey and qualitative data on psychosocial correlates of AID use in pregnancy demonstrate patient benefits compared with other glucose management strategies (such as multiple daily injections, continuous subcutaneous insulin infusion, or sensor-augmented pump therapy). Benefits include improved patient well-being, flexibility, and improved collaboration with health care provider teams. However, burdens have also been identified, including technical glitches, device maintenance, device bulk/visibility, frequent alarms, and the overwhelming quantity of available data. This review describes the lived experiences and perspectives of pregnant individuals with T1D using AID systems. Ongoing education and support for both patients and providers may help to maximize the psychosocial benefits of AID use and reduce potentially negative aspects for pregnant individuals with T1D. While AID represents a significant opportunity for optimizing glucose management for individuals with T1D, both patients and providers need to have realistic expectations based on evidence of what such systems can and cannot do.
期刊介绍:
The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.