Acceptability and experiences of real-time continuous glucose monitoring in adults with type 2 diabetes using insulin: A qualitative study
Open accessAbstract
Aims: To explore the lived experiences of initiating real-time continuous glucose monitoring (rt-CGM) use in individuals with type 2 diabetes using insulin. Methods: Twelve semi-structured interviews were conducted amongst individuals with type 2 diabetes taking insulin who were enrolled in the 2GO-CGM randomised controlled trial and had completed 3 months of rtCGM. Interviews were transcribed verbatim and analysed to identify common themes regarding their experiences. Results: The interviews revealed three key themes: i) rtCGM as a facilitator of improved health behaviours; ii) the acceptability of rtCGM systems compared to capillary blood glucose testing; and iii) barriers to the continual usage of rtCGM technology - including: connection difficulties, longevity of the sensors, and local cutaneous reactions to the sensor adhesive. Conclusion: Adults on insulin with type 2 diabetes find rtCGM systems widely acceptable, and easier to engage with than traditional self-monitoring of capillary blood glucose. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-024-01403-9.
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This approach is consistent with guidance for narrative and methodological reviews where emphasis is on evaluating design performance rather than scoring study-level rigor.
“This approach is consistent with guidance for narrative and methodological reviews where the emphasis is on evaluating design performance rather than scoring study-level rigor [8].”
From Methodological Approaches in Studying Type-2 Diabetes-Related Health Behaviors—A Systematic Review (2025) · cites this paper as [8]
The Methods > Data analysis section describes inductive coding of interviews, and the Discussion evaluates strengths and limitations of this qualitative diabetes study (page numbers unavailable). Neither provides guidance for narrative or methodological reviews, or addresses evaluating design performance instead of scoring study-level rigor; searches for those terms found no relevant passage. (LLM, conf=0.77)
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Cites
International Diabetes Federation 2017
Carracher, A. M., Marathe, P. H., & Close, K. L. (2018) · Journal of Diabetes · doi:10.1111/1753-0407.12644 · Cited by 13,369 · see citing works
A General Inductive Approach for Analyzing Qualitative Evaluation Data
Thomas, D. R. (2006) · American Journal of Evaluation · doi:10.1177/1098214005283748 · Cited by 10,858 · see citing works
Sun, H., Saeedi, P., Karuranga, S., Pinkepank, M., Ogurtsova, K., Duncan, B. B., Stein, C., Basit, A., Chan, J. C. N., Mbanya, J. C., et al. (2022) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.109119 · Cited by 10,123 · see citing works
Nathan, D. M., & for the DCCT/EDIC Research Group (2014) · Diabetes Care · doi:10.2337/dc13-2112 · Cited by 1,832 · see citing works
(2001) · PubMed · Cited by 1,506 · see citing works
Type 2 diabetes incidence and socio-economic position: a systematic review and meta-analysis
Agardh, E. E., Allebeck, P., Hallqvist, J., Moradi, T., & Sidorchuk, A. (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyr029 · Cited by 1,067 · see citing works
6. Glycemic Targets: <i>Standards of Care in Diabetes—2023</i>
ElSayed, N. A., Aleppo, G., Aroda, V. R., Bannuru, R. R., Brown, F. M., Bruemmer, D., Collins, B. S., Hilliard, M. E., Isaacs, D., Johnson, E. L., et al. (2023) · Diabetes Care · doi:10.2337/dc23-s006 · Cited by 684 · see citing works
Beck, R. W., Riddlesworth, T. D., Ruedy, K., Ahmann, A., Haller, S., Kruger, D., McGill, J. B., Polonsky, W., Price, D., Aronoff, S., et al. (2017) · Annals of Internal Medicine · doi:10.7326/m16-2855 · Cited by 635 · see citing works
Martens, T., Beck, R. W., Bailey, R., Ruedy, K. J., Calhoun, P., Peters, A. L., Pop-Busui, R., Philis-Tsimikas, A., Bao, S., Umpierrez, G., et al. (2021) · JAMA · doi:10.1001/jama.2021.7444 · Cited by 543 · see citing works
Maiorino, M. I., Signoriello, S., Maio, A., Chiodini, P., Bellastella, G., Scappaticcio, L., Longo, M., Giugliano, D., & Esposito, K. (2020) · Diabetes Care · doi:10.2337/dc19-1459 · Cited by 364 · see citing works
Gao, J., Wang, J., Zheng, P., Haardörfer, R., Kegler, M. C., Zhu, Y., & Fu, H. (2013) · BMC Family Practice · doi:10.1186/1471-2296-14-66 · Cited by 257 · see citing works
Chua, S. S., Ong, W. M., & Ng, C. J. (2014) · Patient Preference and Adherence · doi:10.2147/ppa.s57567 · Cited by 232 · see citing works
Khunti, K., Ceriello, A., Cos, X., & Block, C. E. M. D. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.12.004 · Cited by 202 · see citing works
Karter, A. J., Parker, M. M., Moffet, H. H., Gilliam, L. K., & Dlott, R. (2021) · JAMA · doi:10.1001/jama.2021.6530 · Cited by 191 · see citing works
Messer, L. H., Tanenbaum, M. L., Cook, P. F., Wong, J. J., Hanes, S. J., Driscoll, K. A., & Hood, K. K. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0509 · Cited by 131 · see citing works
Preserving Skin Integrity with Chronic Device Use in Diabetes
Messer, L. H., Berget, C., Beatson, C. R., Polsky, S., & Forlenza, G. P. (2018) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0080 · Cited by 113 · see citing works
Type 2 Diabetes and the Use of Real-Time Continuous Glucose Monitoring
Jackson, M. A., Ahmann, A., & Shah, V. N. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0007 · Cited by 106 · see citing works
Ida, S., Kaneko, R., & Murata, K. (2019) · Journal of Diabetes Research · doi:10.1155/2019/4684815 · Cited by 86 · see citing works
Gilbert, T. R., Noar, A., Blalock, O., & Polonsky, W. H. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0666 · Cited by 84 · see citing works
Asarani, N. A. M., Reynolds, A. N., Styles, S. E., de Bock, M. I., & Wheeler, B. J. (2019) · Journal of Diabetes Science and Technology · doi:10.1177/1932296819870849 · Cited by 81 · see citing works
Self-citationOser, T. K., Litchman, M. L., Allen, N. A., Kwan, B. M., Fisher, L., Jortberg, B. T., Polonsky, W. H., & Oser, S. M. (2021) · Current Diabetes Reports · doi:10.1007/s11892-021-01408-1 · Cited by 43 · see citing works
Chesser, H., Srinivasan, S., Puckett, C., Gitelman, S. E., & Wong, J. C. (2024) · Journal of Diabetes Science and Technology · doi:10.1177/19322968221139873 · Cited by 40 · cited 3× · see citing works
“Despite the potential benefits, limited research exists that explores the experiences of individuals with type 2 diabetes using modern rtCGM systems [8, 14, 15].”
BackgroundMethodJohnston, A. R., Poll, J. B., Hays, E., & Jones, C. W. (2022) · Diabetes Epidemiology and Management · doi:10.1016/j.deman.2022.100068 · Cited by 33 · see citing works
Porter, M., Fonda, S. J., Swigert, T. J., & Ehrhardt, N. M. (2021) · Journal of Diabetes Science and Technology · doi:10.1177/19322968211053886 · Cited by 28 · see citing works
A new era: increasing continuous glucose monitoring use in type 2 diabetes.
Kompala, T., & Neinstein, A. B. (2019) · PubMed · Cited by 22 · see citing works
Lever, C. S., Williman, J. A., Boucsein, A., Watson, A. S., Sampson, R. S., Sergel‐Stringer, O. T., Keesing, C., Chepulis, L. M., Wheeler, B. J., de Bock, M. I., et al. (2023) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-023-01244-y · Cited by 6 · see citing works
Self-citation592-P: Patient Perception of RT-CGM for Lifestyle Change Six Months after Two Sessions of RT-CGM
PORTER, M. W., Needleman, L., Ramhmdani, S., et al. (2021) · Diabetes · doi:10.2337/db21-592-p · Cited by 1 · see citing works
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Methodological Approaches in Studying Type-2 Diabetes-Related Health Behaviors—A Systematic Review
Khandoker, F., & Grigsby, T. J. (2025) · Applied Sciences · doi:10.3390/app151910567 · Cited by 2 · see citing works
- Authors
- Sergel-Stringer, O. T., Wheeler, B. J., Styles, S. E., Boucsein, A., Lever, C. S., Paul, R. G., Sampson, R., Watson, A., & de Bock, M. I.
- Affiliations
- Health New Zealand (NZ)
- University of Otago (NZ)
- ORCID
- Venue
- Journal of Diabetes & Metabolic Disorders
- Published
- 2024-03-05
- Volume
- 23
- Issue
- 1
- Pages
- 1163-1171
- ISSN
- 2251-6581 (ISSN-L)
- PMC
- PMC11196444
- OpenAlex
- W4392456414
- Cited by
- 15
- References
- 27
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 3
- FWCI
- 4.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Diabetes & Metabolic Disorders (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Dexcom
- University of Otago
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- real-time continuous glucose monitoring, type 2 diabetes, insulin therapy, acceptability, lived experience, self-monitoring of blood glucose, capillary blood glucose testing, health behavior, technology adoption barriers
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