<sup>Effects of modern glucose monitoring and insulin delivery technologies on patient-reported outcomes and experiences in individuals with type 1 diabetes: a systematic review and meta-analysis </sup>
Version 2 2025-11-05, 15:32Version 2 2025-11-05, 15:32
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posted on 2025-11-05, 15:32authored byMiao Gao, Swathi Saravanan, Theresa Munyombwe, Jane Speight, Andrew J Hill, Gemma Traviss-Turner, Ramzi A Ajjan
<p dir="ltr">BACKGROUND</p><p dir="ltr">Use of technology is central to the management of type 1 diabetes (T1D), while patient-reported outcomes measures (PROMs) can support in the management of these individuals.</p><p dir="ltr">PURPOSE</p><p dir="ltr">To assess the impact of diabetes technologies on PROMs in T1D.</p><p dir="ltr">DATA SOURCES</p><p dir="ltr">Cochrane Library CENTRAL, Embase, MEDLINE®, Scopus and Web of Science were searched for relevant articles from 2013 inception up to August 2025.</p><p dir="ltr">STUDY SELECTION</p><p dir="ltr">We included longitudinal diabetes technology studies assessing validated PROMs in non-pregnant adults with T1D. </p><p dir="ltr">DATA EXTRACTION</p><p dir="ltr">Two reviewers extracted study characteristics and PROMs data independently. Standardized mean differences for PROs were pooled using random-effects meta-analysis.</p><p dir="ltr">DATA SYNTHESIS</p><p dir="ltr">We identified 4,885 articles, comprising 81 independent studies (N=19,148 participants) and 70 different PROMs. Hypoglycemia Fear Survey (HFS) was most commonly used (k=39 studies), followed by Diabetes Treatment Satisfaction Questionnaire (DTSQs/DTSQc) (k=38), Diabetes Distress Scale (DDS) (k=25), and Problem Areas in Diabetes (PAID) scale (k=24). Technology use was associated with lower HFS-Total scores compared with controls (SMD= –0.177; 95%CI [–0.319, –0.036], p=0.014, I²=0.0%), with the largest effect observed in automated insulin device users. A moderate positive effect of diabetes technologies was observed on DTSQs/DTSQc scores (SMD=0.429; 95%CI [0.206, 0.653], p<0.001, I²=72.3%) with a small-to-moderate reduction on DDS/PAID scores (SMD= –0.265; 95%CI[–0.363, –0.166], p<0.001, I²=0.0%). </p><p dir="ltr">LIMITATIONS</p><p dir="ltr">Differences in type of technology, varied use and incomplete reporting of PROMs, and different duration of studies.</p><p dir="ltr">CONCLUSIONS</p><p dir="ltr">Diabetes technologies offer psychological benefits in adults with T1D. The large number of reported PROMs suggest a need to standardize their use.</p><p><br></p>
Funding
While the work received no specific funding, the Diabetes Research Steering Groups (DRSGs), formed and operated by Diabetes UK, have actively supported and encouraged studies on patient-related outcomes, an area that has been identified as important for future research and clinical development. JS is supported by the core funding to the Australian Centre for Behavioural Research in Diabetes, derived from the partnership between Diabetes Victoria and Deakin University.