Prioritising prevention: Implementation of IGT Care Call, a telephone based service for people at risk of developing type 2 diabetes
Open accessAbstract
Aim To design, deliver and evaluate IGT Care Call, a telephone service providing a 6 month lifestyle education programme for people with impaired glucose tolerance (IGT). Methods An observational study of IGT Care Call, a programme providing motivational support and education using electronic scripts. The service was delivered to 55 participants, all of whom completed the course (an information pack and at least five telephone calls over 6 months). Clinical measurements were undertaken in General Practice at baseline, on completion of the programme and one year later. Results Among the 40 participants for whom we have complete data available, one year after discharge, participants showed improvements in fasting plasma glucose (0.29 mmol/l, 95% CI 0.07 to 0.51), weight (2.81 kg, 95% CI 1.20 to 4.42) and BMI (1.06 kg/m(2), 95% CI 0.49 to 1.63). All differences were statistically significant (p < 0.01). Conclusion Whilst an uncontrolled observational study with a small sample size, this pilot suggests IGT Care Call may be effective in promoting positive and sustained lifestyle changes to prevent type 2 diabetes, which warrants further investigation. A telephone method of service delivery was acceptable, convenient and may have improved self confidence in how to reduce risk of type 2 diabetes.
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Only 1 (14.2%) study assessed HCP experience in TM interventions, with HCP participants leaving positive feedback for TM, according to Savas et al.
“Only 1 (14.2%) study assessed HCP experience in TM interventions, with HCP participants leaving positive feedback for TM, according to Savas et al [54].”
From Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review (2025) · cites this paper as [54]
The available passages from the indexed copy are bibliographic metadata identifying a telephone-based service, not findings about healthcare professionals. Searches for HCP experience and positive feedback returned no relevant passage, so the attributed feedback cannot be verified from our copy. The 1 (14.2%) figure describes the citing document's set of studies, not a finding expected from Savas et al. (LLM, conf=0.73)
Experimental — accuracy not yet measuredTM effects on consumer experience were varied: 5 (71.4%) studies reported positive effects, 1 (14.2%) no discernible effect, and 1 (14.2%) mixed effects.
“The effects of TM on consumer experience were varied, with 5 (71.4%) studies [39,44,48,53,54] reporting positive effects, 1 (14.2%) study [5] with no discernible effect, and 1 (14.2%) study [55] with mixed effects.”
From Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review (2025) · cites this paper as [54]
The available copy identifies IGT Care Call as a telephone service, but its retrieved passages contain bibliographic information rather than findings about consumer experience. Searches for patient satisfaction, service-user experience, and an absence of discernible effect found no passage that could verify the result attributed to this study. The five-study and one-study counts are the citing authors’ synthesis, not a finding attributed to this individual source. (LLM, conf=0.72)
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Cites
Diagnosis and Classification of Diabetes Mellitus
Basevi, V. (2011) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 21,302 · see citing works
Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873 · see citing works
Pan, X.-R., Li, G.-W., Hu, Y.-H., Wang, J.-X., Yang, W.-Y., An, Z.-X., Hu, Z.-X., Juan-Lin, Xiao, J.-Z., Cao, H.-B., et al. (1997) · Diabetes Care · doi:10.2337/diacare.20.4.537 · Cited by 4,320 · see citing works
Diagnosis and Classification of diabetes mellitus
Rossi, G. (2014) · Diapedia.org eBooks · doi:10.14496/dia..20 · Cited by 3,218 · see citing works
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2004) · Diabetes Care · doi:10.2337/diacare.27.2007.s5 · Cited by 1,668 · see citing works
Onset of NIDDM occurs at Least 4–7 yr Before Clinical Diagnosis
Harris, M. I., Klein, R., Welborn, T. A., & Knuiman, M. W. (1992) · Diabetes Care · doi:10.2337/diacare.15.7.815 · Cited by 1,306 · see citing works
Tominaga, M., Eguchi, H., Manaka, H., Igarashi, K., Kato, T., & Sekikawa, A. (1999) · Diabetes Care · doi:10.2337/diacare.22.6.920 · Cited by 1,165 · see citing works
Eriksson, K. F., & Lindg�rde, F. (1991) · Diabetologia · doi:10.1007/bf00400196 · Cited by 1,092 · see citing works
Hex, N., Bartlett, C., Wright, D., Taylor, M., & Varley, D. (2012) · Diabetic Medicine · doi:10.1111/j.1464-5491.2012.03698.x · Cited by 819 · see citing works
[The Da Qing IGT and Diabetes study].
Ayame, H. (2005) · PubMed · Cited by 658 · see citing works
Dunkley, A. J., Bodicoat, D. H., Greaves, C. J., Russell, C., Yates, T., Davies, M. J., & Khunti, K. (2014) · Diabetes Care · doi:10.2337/dc13-2195 · Cited by 542 · see citing works
Mozaffarian, D., Kamineni, A., Carnethon, M., Djoussé, L., Mukamal, K. J., & Siscovick, D. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.21 · Cited by 358 · see citing works
A National Service Framework for diabetes
Davies, M. J. (2001) · The British Journal of Diabetes · doi:10.1177/14746514010010021101 · Cited by 119 · see citing works
Pro-Active Call Center Treatment Support (PACCTS) to Improve Glucose Control in Type 2 Diabetes
Young, R. J., Taylor, J., Friede, T., Hollis, S., Mason, J. M., Lee, P., Burns, E., Long, A., Gambling, T. S., New, J. P., et al. (2005) · Diabetes Care · doi:10.2337/diacare.28.2.278 · Cited by 105 · see citing works
Cost-Effectiveness of the Primary Prevention of Non-Insulin Dependent Diabetes Mellitus
Segal, L., Dalton, A. C., & Richardson, J. R. J. (1998) · Health Promotion International · doi:10.1093/heapro/13.3.197 · Cited by 63 · see citing works
Hegarty, J. (2013) · Cited by 50 · see citing works
Betzlbacher, A., Grady, K., Savas, L., Cotterill, S., Boaden, R., Summers, L. K. M., & Gibson, M. (2013) · Journal of Health Services Research & Policy · doi:10.1177/1355819612473582 · Cited by 13 · see citing works
Self-citationBourn, D. M. (1996) · Diabetic Medicine · doi:10.1002/(sici)1096-9136(199611)13:11 · Cited by 11 · see citing works
Your Weight, Your Health: How to Take Control of Your Weight
(2006) · PsycEXTRA Dataset · doi:10.1037/e607892007-001 · Cited by 7 · see citing works
Flagged first, then by citations
2 of the 21 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
A systematic review of real-world diabetes prevention programs: learnings from the last 15 years
Aziz, Z., Absetz, P., Oldroyd, J. C., Pronk, N. P., & Oldenburg, B. F. (2015) · Implementation Science · doi:10.1186/s13012-015-0354-6 · Cited by 306 · see citing works
The effect of technology-mediated diabetes prevention interventions on weight: a meta-analysis
Bian, R. R., Piatt, G. A., Sen, A., Plegue, M. A., De Michele, M. L., Hafez, D., Czuhajewski, C. M., Buis, L. R., Kaufman, N., & Richardson, C. R. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.4709 · Cited by 99 · see citing works
A narrative systematic review of factors affecting diabetes prevention in primary care settings
Messina, J., Campbell, S., Morris, R., Eyles, E., & Sanders, C. (2017) · PLoS ONE · doi:10.1371/journal.pone.0177699 · Cited by 79 · see citing works
Coventry, P. A., Bower, P., Blakemore, A., Baker, E., Hann, M., Li, J., Paisley, A. N., & Gibson, M. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0080-6 · Cited by 18 · see citing works
Malipatil, N. S., Fachim, H., Siddals, K. W., Geary, B., Wark, G., Porter, N., Anderson, S. G., Donn, R. P., Harvie, M., Whetton, A. D., et al. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8020141 · Cited by 17 · see citing works
Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review
Duong, T., Olsen, Q., Menon, A., Woods, L., Wang, W., Varnfield, M., Jiang, L., & Sullivan, C. (2025) · Journal of Medical Internet Research · doi:10.2196/67507 · Cited by 14 · see citing works
Knowles, S. E., Cotterill, S., Coupe, N., & Spence, M. (2019) · BMC Health Services Research · doi:10.1186/s12913-019-4139-5 · Cited by 14 · see citing works
Self-citationFachim, H., Siddals, K. W., Malipatil, N. S., Donn, R. P., Moreno, G. Y., Dalton, C., Adam, S., Soran, H., Gibson, M., & Heald, A. H. (2020) · Adipocyte · doi:10.1080/21623945.2020.1732513 · Cited by 10 · see citing works
Coventry, P. A., Bower, P., Blakemore, A., Baker, E., Hann, M., Paisley, A. N., Renwick, C., Li, J., Ugajin, A., & Gibson, M. (2016) · Trials · doi:10.1186/s13063-016-1519-6 · Cited by 6 · see citing works
A systematic Review of Health Promotion Model for Type 2 Diabetes Prevention
Bureelerd, O., Baokhumkong, C., & Songserm, N. (2017) · IOSR Journal of Nursing and health Science · doi:10.9790/1959-0603038692
Haghravan, S., Mohammadi‐Nasrabadi, F., Rafraf, M., & Jafarabadi, M. A. (2021) · Mediterranean Journal of Nutrition and Metabolism · doi:10.3233/mnm-211528
- Authors
- Savas, L. A., Grady, K., Cotterill, S., Summers, L., Boaden, R., & Gibson, J. M.
- Affiliations
- Salford Royal NHS Foundation Trust (GB)
- University of Manchester (GB)
- Corresponding author
- Savas, Linda Ann
- Venue
- Primary Care Diabetes
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 9
- Issue
- 1
- Pages
- 3-8
- ISSN
- 1751-9918 (ISSN-L)
- OpenAlex
- W2016233196
- Cited by
- 11
- References
- 21
- Citations by year
- 2025: 1 · 2021: 1 · 2020: 1 · 2019: 3 · 2017: 3 · 2016: 1 · 2015: 1
- FWCI
- 1.34
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Primary care diabetes (publishedVersion)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion, other-oa)
- Funders
- National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care (NIHR CLAHRC)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- impaired glucose tolerance, type 2 diabetes prevention, telephone-delivered intervention, lifestyle education, motivational support, weight loss, body mass index, fasting blood glucose, primary care
- MeSH terms
- Adult, Aged, Aged, 80 and over, Blood Glucose, Body Weight, Diabetes Mellitus, Type 2, England, Female, Health Priorities, Health Services Needs and Demand, Humans, Health Knowledge, Attitudes, Practice, Male, Middle Aged, Motivation, Patient Education as Topic, Pilot Projects, Primary Prevention, Risk Factors, Telephone, Time Factors, Program Evaluation, Biomarkers, Health Behavior, Body Mass Index, Treatment Outcome, Glucose Intolerance, Risk Reduction Behavior
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