696-P: Insulin Pump Infusion Set Failure (IPISF) Management: T1D Exchange Survey
Abstract
Aim: To identify IPISF occurrence and troubleshooting methods, determine habits and perceptions of diabetes technology use, and assess the history and satisfaction of education in those who utilize CSII. Methods: A 57-item online survey was constructed and included demographic questions, assessment with Likert scales, and open-ended questions regarding infusion sets. Participants were recruited via the T1D Exchange online community database. Statistical analysis was performed using R and JMP. Results: A total of 715 individuals were surveyed including 639 people with diabetes (PwD) and 76 caretakers among 49 states and territories from 09/2020 - 11/2020. Demographics: PwD age 51.6±15.1 years, caretaker age 46.1±7.6 years (dependent PwD age 15.2±11.2 year), 99.6% type 1 diabetes, 69% female, 92% white, CSII use for 14.1±8.5 years, 44% use AID, HbA1c 6.8±0.97%, TIR 72.3±16.1%, TIR 3 days. 97% of participants experience IPISF with 41% reporting ≥1 IPISF/month. Following IPISF, participants administered correction boluses using their pump with (41%) and without (44%) changing their failed infusion set. 61% of subjects had not received IPISF education in over a year and 19% had never received IPISF education. For users who experience ≥1 IPISF/month, hyperglycemia and related symptoms were more likely to alert users of IPISF than pump alarms (n=259, p=0.0355). Respondents with ≥1 IPISF/month were also more likely to both feel burned out by their diabetes technology (p<0.001) and wa…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Alarm systems are often inadequate; 66.3% of users detected infusion set failures through hyperglycemic symptoms, while only 25% were alerted by pump alarms.
“Alarm systems are often inadequate, as evidenced by a survey where 66.3% of users detected infusion set failures through hyperglycemic symptoms, while only 25% were alerted by pump alarms.24”
From Clinical utility of the twiist Automated Insulin Delivery System: first study with twiist (2026) · cites this paper as [24]
Insulin infusion set failures are common among individuals using insulin pump therapy.
“However, insulin infusion set (IIS) failures are common among individuals using insulin pump therapy.3–5”
From Clinical utility of the twiist Automated Insulin Delivery System: first study with twiist (2026) · cites this paper as [3]
Cited by
Sorted by citations
Clinical utility of the twiist Automated Insulin Delivery System: first study with twiist
Ruiz, A., Mcdonough, A., Snow, K., Bode, B., & Mitri, J. (2026) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2026-006307
- Authors
- WILCOX, J. H., GRAY, J. C., COOPER, N. R., BLANCO, L. E., KELLEHER, R., VANENGELEN, L. M., & LAL, R.
- Affiliations
- Memphis, TN, Stanford, CA
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2021-06-01
- Volume
- 70
- Issue
- Supplement_1
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W3176941735
- Cited by
- 3
- References
- 0
- Citations by year
- 2026: 1 · 2024: 2
- FWCI
- 0.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Physical Sciences › Engineering › Biomedical Engineering › Intravenous Infusion Technology and Safety
- Keywords
- insulin pump therapy, type 1 diabetes, diabetes technology use, diabetes education, caregiver burden, diabetes management
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
