Different methods and settings for glucose monitoring for gestational diabetes during pregnancy
Open accessAbstract
BACKGROUND: Incidence of gestational diabetes mellitus (GDM) is increasing worldwide. Blood glucose monitoring plays a crucial part in maintaining glycaemic control in women with GDM and is generally recommended by healthcare professionals. There are several different methods for monitoring blood glucose which can be carried out in different settings (e.g. at home versus in hospital). OBJECTIVES: The objective of this review is to compare the effects of different methods and settings for glucose monitoring for women with GDM on maternal and fetal, neonatal, child and adult outcomes, and use and costs of health care. SEARCH METHODS: We searched the Cochrane Pregnancy and Childbirth Group Trials Register (30 September 2016) and reference lists of retrieved studies. SELECTION CRITERIA: Randomised controlled trials (RCTs) or quasi-randomised controlled trials (qRCTs) comparing different methods (such as timings and frequencies) or settings, or both, for blood glucose monitoring for women with GDM. DATA COLLECTION AND ANALYSIS: Two authors independently assessed study eligibility, risk of bias, and extracted data. Data were checked for accuracy.We assessed the quality of the evidence for the main comparisons using GRADE, for:- primary outcomes for mothers: that is, hypertensive disorders of pregnancy; caesarean section; type 2 diabetes; and- primary outcomes for children: that is, large-for-gestational age; perinatal mortality; death or serious morbidity composite; childhood/adulthood neurosensory disability;- secondary outcomes for mothers: that is, induction of labour; perineal trauma; postnatal depression; postnatal weight retention or return to pre-pregnancy weight; and- secondary outcomes for children: that is, neonatal hypoglycaemia; childhood/adulthood adiposity; childhood/adulthood type 2 diabetes. MAIN RESULTS: We included 11 RCTs (10 RCTs; one qRCT) that randomised 1272 women with GDM in upper-middle or high-income countries; we considered these to be at a moderate to high risk of bias. We assessed the RCTs under five comparisons. For outcomes assessed using GRADE, we downgraded for study design limitations, imprecision and inconsistency. Three trials received some support from commercial partners who provided glucose meters or financial support, or both. Main comparisons Telemedicine versus standard care for glucose monitoring (five RCTs): we observed no clear differences between the telemedicine and standard care groups for the mother, for:- pre-eclampsia or pregnancy-induced hypertension (risk ratio (RR) 1.49, 95% confidence interval (CI) 0.69 to 3.20; 275 participants; four RCTs; very low quality evidence);- caesarean section (average RR 1.05, 95% CI 0.72 to 1.53; 478 participants; 5 RCTs; very low quality evidence); and- induction of labour (RR 1.06, 95% CI 0.63 to 1.77; 47 participants; 1 RCT; very low quality evidence);or for the child, for:- large-for-gestational age (RR 1.41, 95% CI 0.76 to 2.64; 228 participants; 3 RCTs; very low quality evidence);- death or serious morbidity composite (RR 1.06, 95% CI 0.68 to 1.66; 57 participants; 1 RCT; very low quality evidence); and- neonatal hypoglycaemia (RR 1.14, 95% CI 0.48 to 2.72; 198 participants; 3 RCTs; very low quality evidence).There were no perinatal deaths in two RCTs (131 participants; very low quality evidence). Self-monitoring versus periodic glucose monitoring (two RCTs): we observed no clear differences between the self-monitoring and periodic glucose monitoring groups for the mother, for:- pre-eclampsia (RR 0.17, 95% CI 0.01 to 3.49; 58 participants; 1 RCT; very low quality evidence); and- caesarean section (average RR 1.18, 95% CI 0.61 to 2.27; 400 participants; 2 RCTs; low quality evidence);or for the child, for:- perinatal mortality (RR 1.54, 95% CI 0.21 to 11.24; 400 participants; 2 RCTs; very low quality evidence);- large-for-gestational age (RR 0.82, 95% CI 0.50 to 1.37; 400 participants; 2 RCTs; low quality evidence); and- neonatal hypoglycaemia (RR 0.64, 95% CI 0.39 to 1.06; 391 participants; 2 RCTs; low quality evidence). Continuous glucose monitoring system (CGMS) versus self-monitoring of glucose (two RCTs): we observed no clear differences between the CGMS and self-monitoring groups for the mother, for:- caesarean section (RR 0.91, 95% CI 0.68 to 1.20; 179 participants; 2 RCTs; very low quality evidence);or for the child, for:- large-for-gestational age (RR 0.67, 95% CI 0.43 to 1.05; 106 participants; 1 RCT; very low quality evidence) and- neonatal hypoglycaemia (RR 0.79, 95% CI 0.35 to 1.78; 179 participants; 2 RCTs; very low quality evidence).There were no perinatal deaths in the two RCTs (179 participants; very low quality evidence). Other comparisons Modem versus telephone transmission for glucose monitoring (one RCT): none of the review's primary outcomes were reported in this trial Postprandial versus preprandial glucose monitoring (one RCT): we observed no clear differences between the postprandial and preprandial gl
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Three reviews assessed remote self-monitoring interventions on gestational diabetes, and all found that telemedicine had similar clinical outcomes to face-to-face care including glycemic control, cesarean delivery rates, pre-eclampsia, induction of labor and neonatal hypoglycemia.
“All three reviews found that telemedicine had similar clinical outcomes to face-to-face care for this population including glycemic control, cesarean delivery rates, pre-eclampsia, induction of labor and neonatal hypoglycemia [11–13].”
From Telemedicine in the OECD: An umbrella review of clinical and cost-effectiveness, patient experience and implementation (2020) · cites this paper as [11]
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Flagged first, then by citations
3 of the 93 references couldn’t be matched to a known paper.
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Bringing health care to the patient
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Self-citationShort‐ and long‐term outcomes of gestational diabetes and its treatment on fetal development
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Self-citationTechniques of monitoring blood glucose during pregnancy for women with pre-existing diabetes
Moy, F. M., Ray, A., Buckley, B. S., & West, H. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009613.pub3 · Cited by 72 · see citing works
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Techniques of monitoring blood glucose during pregnancy for women with pre-existing diabetes
Jones, L. V., Ray, A., Moy, F. M., & Buckley, B. S. (2019) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009613.pub4 · Cited by 28 · see citing works
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Burk, J., Ross, G. P., Hernandez, T. L., Colagiuri, S., & Sweeting, A. (2025) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2025.04.010 · Cited by 22 · see citing works
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Yeh, P. T., Kennedy, C. E., Rhee, D. K., Zera, C., Tunçalp, Ö., Lucido, B., de León, R. G. P., & Narasimhan, M. (2023) · Frontiers in Global Women s Health · doi:10.3389/fgwh.2023.1006041 · Cited by 16 · see citing works
Wartenberg, C., Elden, H., Frerichs, M., Jivegård, L., Magnusson, K., Mourtzinis, G., Nyström, O., Quitz, K., Sjöland, H., Svanberg, T., et al. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-12292-w · Cited by 14 · see citing works
Massalha, M., Iskander, R., Hassan, H., Spiegel, E., Erez, O., & Nachum, Z. (2025) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2025.1527076 · Cited by 13 · see citing works
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Moazen, G. E., Pfeifer, B. E., Loid, A., Kästner, P., & Ciardi, C. (2021) · Studies in health technology and informatics · doi:10.3233/shti210599 · Cited by 12 · see citing works
Glucose Treatment Targets in Pregnancy - A Review of Evidence and Guidelines
Byford, A. R., Forbes, K. A., & SCOTT, E. M. (2022) · Current Diabetes Reviews · doi:10.2174/1573399818666220422083935 · Cited by 10 · see citing works
Leveraging Technology to Improve Diabetes Care in Pregnancy
Crimmins, S. D., Ginn-Meadow, A., Jessel, R. H., & Rosen, J. A. (2020) · Clinical Diabetes · doi:10.2337/cd20-0047 · Cited by 10 · see citing works
Clark, A., Jung, E., Prusky, C., Shah, B. R., & Halperin, I. J. (2022) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2022.12.002 · Cited by 10 · see citing works
Mu, A., Chen, Y., Lv, Y., & Wang, W. (2022) · Computational and Mathematical Methods in Medicine · doi:10.1155/2022/4882061 · Cited by 9 · see citing works
Bradford, B. F., Cronin, R. S., Okesene-Gafa, K. A. M., Apaapa-Timu, T. H., Shashikumar, A., & Oyston, C. (2024) · Women and Birth · doi:10.1016/j.wombi.2024.01.005 · Cited by 8 · see citing works
Montori, S., Lugli, F., Monesi, M., Scutiero, G., Forini, E., Greco, P., & Verteramo, R. (2023) · Diabetic Medicine · doi:10.1111/dme.15201 · Cited by 8 · see citing works
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Insulin Therapy and Diabetic Pregnancy
Napoli, A. (2019) · American Journal of Therapeutics · doi:10.1097/mjt.0000000000001095 · Cited by 8 · see citing works
Morikawa, M., Sugiyama, T., Hiramatsu, Y., & Sagawa, N. (2022) · Endocrine Journal · doi:10.1507/endocrj.ej22-0072 · Cited by 8 · see citing works
Evaluation of a telehealth program for high-risk pregnancy in a health service provider institution
Valencia, S. A., Gómez, J. G. B., Ramirez, M. C. G., Gómez, I. F. L., Andrade-Caicedo, H., Torres-Silva, E. A., & Díaz, E. S. (2023) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2023.105234 · Cited by 7 · see citing works
Zhang, R., Gao, X., Sun, T., Li, H., Yang, Q., Li, B., Zhu, D., & Wang, R. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1054153 · Cited by 6 · see citing works
Kim, J., & Chung, C. (2021) · Korean journal of women health nursing/Yeoseong geon'gang ganho hag'hoeji/Yeoseong geon-gang ganho hakoeji · doi:10.4069/kjwhn.2021.03.02 · Cited by 6 · see citing works
Ryan, L. W. K., Weiying, L., Wright, A., & Tan, L. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009507189 · Cited by 4 · see citing works
Hong, J. G. S., Noor, A. F. M., & Tan, P. C. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11133770 · Cited by 5 · see citing works
Caring for pregnant women whose diabetes antedates pregnancy: is there room for improvement?
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Hoek-Hogchem, R., Bovenberg, S. A., Dekker, P., Birnie, E., Veeze, H. J., Duvekot, H., Galjaard, S., & Aanstoot, H. (2022) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/a-1797-8317 · Cited by 4 · see citing works
Wang, J., Zhu, L., An, R., Chen, Y., Pan, X., Zhang, W., Chen, X., Zou, Z., & Zhang, Y. (2024) · Journal of obstetrics and gynaecology research · doi:10.1111/jog.16104 · Cited by 3 · see citing works
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Davies, A. K., Lenguerrand, E., SCOTT, E. M., Kandiyali, R., Douek, I. F., Norman, J. E., Loose, A., Sawyer, L., Timlin, L., & Burden, C. (2023) · Pilot and Feasibility Studies · doi:10.1186/s40814-023-01341-y · Cited by 3 · see citing works
Blood Glucose monitoring in pregnant women with gestational diabetes mellitus
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Gestationsdiabetes und Technologie
Weschenfelder, F. (2025) · Die Diabetologie · doi:10.1007/s11428-025-01319-9 · Cited by 2 · see citing works
Diabetologische Versorgung von Frauen mit Gestationsdiabetes in Deutschland
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- Authors
- Raman, P., Shepherd, E., Dowswell, T., Middleton, P., & Crowther, C. A.
- Affiliations
- King Edward Memorial Hospital (AU)
- The University of Adelaide (AU)
- University of Liverpool (GB)
- Women's and Children's Hospital (AU)
- University of Auckland (NZ)
- Venue
- Cochrane Database of Systematic Reviews
- Publisher
- Wiley
- Published
- 2017-10-29
- Volume
- 2017
- Issue
- 10
- Pages
- CD011069-CD011069
- ISSN
- 1361-6137 (ISSN-L)
- 1465-1858
- PMC
- PMC6485695
- OpenAlex
- W2766651187
- Cited by
- 62
- References
- 93
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 4 · 2023: 9 · 2022: 11 · 2021: 10 · 2020: 7 · 2019: 2 · 2018: 7 · 2017: 1 · 2016: 2
- FWCI
- 0.80
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cochrane Database of Systematic Reviews (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- ResearchSpace (University of Auckland) (submittedVersion)
- Funders
- National Institute for Health and Care Research (13/89/05)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Health Professions › General Health Professions › Maternal and Neonatal Healthcare
- Keywords
- gestational diabetes mellitus, blood glucose monitoring, glycemic control, telemedicine, home blood glucose monitoring, perinatal outcomes, neonatal outcomes, maternal outcomes, childhood adiposity, perineal trauma, postpartum depression, neonatal hypoglycemia, large for gestational age, perinatal mortality
- MeSH terms
- Blood Glucose, Cesarean Section, Eclampsia, Female, Humans, Labor, Induced, Monitoring, Physiologic, Pre-Eclampsia, Pregnancy, Telemetry, Blood Glucose Self-Monitoring, Randomized Controlled Trials as Topic, Diabetes, Gestational, Telemedicine
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.
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