Telephone follow‐up to improve glycaemic control in patients with Type 2 diabetes: systematic review and meta‐analysis of controlled trials
Abstract
Diabet. Med. 27, 1217–1225 (2010) Objective To examine the impact of telephone follow‐up interventions on glycaemic control in patients with Type 2 diabetes. Methods This was a systematic review and meta‐analysis of randomized controlled trials using The Cochrane Library, including the Cochrane central register of controlled trials; MEDLINE, EMBASE, PsycINFO and CINHAL, together with citation searching. The included studies were randomized controlled trials examining the effect of a telephone follow‐up intervention on glycaemic control in patients with Type 2 diabetes. All the included trials were subject to critical appraisal. Data were extracted on study design, characteristics of patients, exact nature of the telephone intervention and details of comparison. Pooled standardized effects were calculated for the primary outcome. Glycaemic control was measured by HbA 1c. Results HbA 1c levels reported in the reviewed studies were pooled using random effects models. The standardized effect of telephone follow‐up was equivocal, with endpoint data showing weighted mean differences of –0.44 (95% CI –0.93 to 0.06) (Z = –1.72, P = 0.08) in favour of the telephone follow‐up intervention. Subgroup analysis of more intensive interventions (interactive follow‐up with health professional plus automated follow‐up or non‐interactive follow‐up) showed (n = 1057) a significant benefit in favour of the treatment group, with a standardized mean difference of –0.84 (95% CI –1.67 to 0.0) (Z = 1.97, P = 0.05), indicating that more intensive (targeted) modes of follow‐up may have better effects on glycaemic control. Conclusions The analysis suggested that telephone follow‐up interventions following a more intensive targeted approach could have a positive impact on glycaemic control for Type 2 diabetes.
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Previous systematic reviews on telemedicine for diabetes often focused on a specific type of telemedicine, a specific outcome, and/or a specific comparator.
“However, these previous reviews have often focused on a specific type of telemedicine, a specific outcome, and/or a specific comparator, which calls for a more comprehensive and inclusive systematic review seeking to compare and synthesize findings for treatment outcomes while adjusting for different study characteristics.”
From The Effectiveness of Telemedicine Solutions for the Management of Type 2 Diabetes: A Systematic Review, Meta-Analysis, and Meta-Regression (2023) · cites this paper as [23]
Taking into account quality assessment, explicit self-management focus, and total population size, 8 reviews received an evidence weighting of 3 stars, 23 received 2 stars, 21 received 1 star, and 1 received no stars.
“Taking into account quality assessment, explicit self-management focus, and total population size, 8 reviews received an evidence weighting of 3 stars [16,21,25,26,38,45,53,56], 23 received 2 stars [22,24,27-31, 33,37,40,42,44,46,49,50,52,54,55,58,62,63,67,68], 21 received 1 star [19,20,23,32,34-36,39,43,47,48,51,57, 59-61,64-66,69,70], and 1 received no stars [41].”
Two of the type 2 diabetes reviews were awarded a 3-star weighting.
“Of these, 2 were awarded a 3-star weighting [21,53].”
Ten reviews and one analysis in a mixed review analyzed HbA1c in type 2 diabetes.
“A total of 10 reviews [21,29,30,33,42,43,46,52-54], and 1 analysis in a mixed review [19], analyzed HbA1c in type 2 diabetes.”
Wu et al meta-analyzed 7 RCTs of telephone follow-up and found no significant improvement in HbA1c compared with usual care in the overall pooled analysis.
“Wu et al meta-analyzed 7 RCTs of telephone follow-up and found no significant improvement in HbA1c compared with usual care in the overall pooled analysis [53].”
A prespecified subgroup analysis of more intensive targeted interventions (n=3 RCTs) showed a statistically significant benefit on glycemic control.
“However, a prespecified subgroup analysis of more intensive targeted interventions (n=3 RCTs) showed a statistically significant benefit on glycemic control.”
The highest-weighted evidence showed improvement in HbA1c in type 2 diabetes with interventions remotely monitoring blood glucose and in some more intensive telephone interventions.
“The highest-weighted evidence showed improvement in HbA1c in type 2 diabetes with interventions remotely monitoring blood glucose and in some more intensive telephone interventions [31,38,53].”
Wu et al. identified a significant improvement in HbA1c in a prespecified subgroup analysis of interventions providing intensive professional support.
“they did identify a significant improvement in a prespecified subgroup analysis of interventions providing intensive professional support [53].”
Wu et al. found no overall improvement in HbA1c in a meta-analysis of telephone interventions for type 2 diabetes.
“Wu et al, who analyzed telephone interventions for type 2 diabetes, found no overall improvement in HbA1c in a meta-analysis”
Interventions with multiple components, or more intensive interventions, may be associated with greater benefits.
“Interventions with multiple components, or more intensive interventions, may be associated with greater benefits [30,53,63,68].”
Some evidence suggests that, in the context of type 2 diabetes, more intensive interventions may be associated with greater improvements in glycemic control.
“While some evidence suggests that, in the context of type 2 diabetes, more intensive interventions may be associated with greater improvements in glycemic control, such observations are limited to specific analyses from a small number of included reviews [22,30,53]”
More interactive approaches including case management, motivational interviewing, and more focus on a psychological approach seemed more effective for glycaemic control.
“However, more interactive approaches including case management, motivational interviewing and more focus on a psychological approach seemed more effective.64”
Simple telephone follow-up interventions delivered only a limited benefit in terms of glycaemic control.
“A meta-analysis by Wu et al. 64 in 2010 revealed that simple telephone follow-up interventions delivered only a limited benefit in terms of glycaemic control.”
Cites
Ismail, K., Winkley, K., & Rabe-Hesketh, S. (2004) · The Lancet · doi:10.1016/s0140-6736(04)16202-8 · Cited by 531 · see citing works
Glasgow, R. E., & Toobert, D. J. (2000) · Medical Care · doi:10.1097/00005650-200011000-00002 · Cited by 129 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Hanlon, P., Daines, L., Campbell, C., McKinstry, B., Weller, D., & Pinnock, H. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6688 · Cited by 499 · see citing works
“A total of 53 systematic reviews met the inclusion criteria [16,19-70].”
InfluentialRyan, R. E., Santesso, N., Lowe, D., Hill, S., Grimshaw, J. M., Prictor, M., Kaufman, C., Cowie, G., & Taylor, M. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007768.pub3 · Cited by 273 · see citing works
The Impact of Telehealthcare on the Quality and Safety of Care: A Systematic Overview
McLean, S., Sheikh, A., Cresswell, K., Nurmatov, U., Mukherjee, M., Hemmi, A., & Pagliari, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071238 · Cited by 255 · see citing works
Scherrenberg, M., Wilhelm, M., Hansen, D., Völler, H., Cornelissen, V., Frederix, I., Kemps, H., & Dendale, P. (2021) · European Journal of Preventive Cardiology · doi:10.1177/2047487320939671 · Cited by 251 · see citing works
Interventions for self-management of type 2 diabetes: An integrative review
Carpenter, R., DiChiacchio, T., & Barker, K. (2019) · International Journal of Nursing Sciences · doi:10.1016/j.ijnss.2018.12.002 · Cited by 170 · see citing works
Almutairi, N., Hosseinzadeh, H., & Gopaldasani, V. (2020) · Primary Care Diabetes · doi:10.1016/j.pcd.2019.08.009 · Cited by 144 · see citing works
Worswick, J., Wayne, S. C., Bennett, R., Fiander, M., Mayhew, A., Weir, M. C., Sullivan, K. J., & Grimshaw, J. M. (2013) · Systematic Reviews · doi:10.1186/2046-4053-2-26 · Cited by 130 · see citing works
Cassimatis, M., & Kavanagh, D. J. (2012) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2012.gth105 · Cited by 73 · see citing works
Hangaard, S., Laursen, S. H., Andersen, J. D., Kronborg, T., Vestergaard, P., Hejlesen, O., & Udsen, F. W. (2023) · Journal of Diabetes Science and Technology · doi:10.1177/19322968211064633 · Cited by 55 · see citing works
Piette, J. D., Mendoza-Avelares, M. O., Milton, E. C., Lange, I., & Fajardo, R. (2010) · Telemedicine and e-Health · doi:10.1089/tmj.2010.0074 · Cited by 45 · see citing works
Asante, E., Bam, V., Diji, A. K.-A., Lomotey, A. Y., Owusu Boateng, A., Sarfo-Kantanka, O., Oparebea Ansah, E., & Adjei, D. (2020) · The Diabetes Educator · doi:10.1177/0145721720954070 · Cited by 46 · see citing works
Goode, A. D., Winkler, E. A. H., Reeves, M. M., & Eakin, E. G. (2015) · American Journal of Health Promotion · doi:10.4278/ajhp.140206-quan-62 · Cited by 31 · see citing works
Odnoletkova, I., Goderis, G., Nobels, F., Aertgeerts, B., Annemans, L., & Ramaekers, D. (2014) · BMC Family Practice · doi:10.1186/1471-2296-15-24 · Cited by 21 · see citing works
Laursen, S., Hangaard, S., Udsen, F., Vestergaard, P., & Hejlesen, O. (2020) · JMIR Research Protocols · doi:10.2196/22062 · Cited by 4 · see citing works
- Authors
- Wu, L., Forbes, A., Griffiths, P., Milligan, P., & While, A.
- Affiliations
- King's College London (GB)
- Corresponding author
- Forbes, A.
- Venue
- Diabetic Medicine
- Publisher
- Wiley
- Published
- 2010-10-18
- Volume
- 27
- Issue
- 11
- Pages
- 1217-1225
- ISSN
- 0742-3071 (ISSN-L)
- 1464-5491
- OpenAlex
- W1761786860
- Cited by
- 67
- References
- 2
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 2 · 2021: 3 · 2020: 8 · 2019: 3 · 2018: 8 · 2017: 2 · 2016: 4 · 2015: 5 · 2014: 10 · 2013: 8 · 2012: 5
- FWCI
- 0.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetic Medicine (publishedVersion)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion)
- Research Repository (Kingston University London) (submittedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- type 2 diabetes, telephone follow-up, glycemic control, HbA1c, remote patient monitoring, diabetes self-management
- MeSH terms
- Blood Glucose, Diabetes Mellitus, Type 2, Follow-Up Studies, Glycated Hemoglobin, Humans, Interviews as Topic, Controlled Clinical Trials as Topic
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