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dc.contributor.authorDe Groot, Julia
dc.contributor.authorWu, Dongjun
dc.contributor.authorFlynn, Declan
dc.contributor.authorRobertson, Dylan
dc.contributor.authorGrant, Gary
dc.contributor.authorSun, Jing
dc.date.accessioned2021-01-27T22:53:49Z
dc.date.available2021-01-27T22:53:49Z
dc.date.issued2021
dc.identifier.issn1948-9358
dc.identifier.doi10.4239/wjd.v12.i2.170
dc.identifier.urihttp://hdl.handle.net/10072/401456
dc.description.abstractBACKGROUND Telemedicine is defined as the delivery of health services via remote communication and technology. It is a convenient and cost-effective method of intervention, which has shown to be successful in improving glyceamic control for type 2 diabetes patients. The utility of a successful diabetes intervention is vital to reduce disease complications, hospital admissions and associated economic costs. AIM To evaluate the effects of telemedicine interventions on hemoglobin A1c (HbA1c), systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI), post-prandial glucose (PPG), fasting plasma glucose (FPG), weight, cholesterol, mental and physical quality of life (QoL) in patients with type 2 diabetes. The secondary aim of this study is to determine the effect of the following subgroups on HbA1c post-telemedicine intervention; telemedicine characteristics, patient characteristics and self-care outcomes. METHODS PubMed Central, Cochrane Library, Embase and Scopus databases were searched from inception until 18th of June 2020. The quality of the 43 included studies were assessed using the PEDro scale, and the random effects model was used to estimate outcomes and I2 for heterogeneity testing. The mean difference and standard deviation data were extracted for analysis. RESULTS We found a significant reduction in HbA1c [-0.486%; 95% confidence interval (CI) -0.561 to -0.410, P < 0.001], DBP (-0.875 mmHg; 95%CI -1.429 to -0.321, P < 0.01), PPG (-1.458 mmol/L; 95%CI -2.648 to -0.268, P < 0.01), FPG (-0.577 mmol/L; 95%CI -0.710 to -0.443, P < 0.001), weight (-0.243 kg; 95%CI -0.442 to -0.045, P < 0.05), BMI (-0.304; 95%CI -0.563 to -0.045, P < 0.05), mental QoL (2.210; 95%CI 0.053 to 4.367, P < 0.05) and physical QoL (-1.312; 95%CI 0.545 to 2.080, P < 0.001) for patients following telemedicine interventions in comparison to control groups. The results of the meta-analysis did not show any significant reductions in SBP and cholesterol in the telemedicine interventions compared to the control groups. The telemedicine characteristic subgroup analysis revealed that clinical treatment models of intervention, as well as those involving telemonitoring, and those provided via modes of videoconference or interactive telephone had the greatest effect on HbA1c reduction. In addition, interventions delivered at a less than weekly frequency, as well as those given for a duration of 6 mo, and those lead by allied health resulted in better HbA1c outcomes. Furthermore, interventions with a focus on biomedical parameters, as well as those with an engagement level > 70% and those with a drop-out rate of 10%-19.9% showed greatest HbA1c reduction. The patient characteristics investigation reported that Hispanic patients with T2DM had a greater HbA1c reduction post telemedicine intervention. For self-care outcomes, telemedicine interventions that resulted in higher post-intervention glucose monitoring and self-efficacy were shown to have better HbA1c reduction. CONCLUSION The findings indicate that telemedicine is effective for improving HbA1c and thus, glycemic control in patients with type 2 diabetes. In addition, telemedicine interventions were also found to significantly improved other health outcomes as well as QoL scores. The results of the subgroup analysis emphasized that interventions in the form of telemonitoring, via a clinical treatment model and with a focus on biomedical parameters, delivered at a less than weekly frequency and 6 mo duration would have the largest effect on HbA1c reduction. This is in addition to being led by allied health, through modes such as video conference and interactive telephone, with an intervention engagement level > 70% and a drop-out rate between 10%-19.9%. Due to the high heterogeneity of included studies and limitations, further studies with a larger sample size is needed to confirm our findings.
dc.description.peerreviewedYes
dc.description.sponsorshipGriffith University
dc.publisherBaishideng Publishing Group Inc.
dc.relation.ispartofpagefrom170
dc.relation.ispartofpageto197
dc.relation.ispartofissue2
dc.relation.ispartofjournalWorld Journal of Diabetes
dc.relation.ispartofvolume12
dc.subject.fieldofresearchMedical and Health Sciences
dc.subject.fieldofresearchPublic Health and Health Services
dc.subject.fieldofresearchClinical Sciences
dc.subject.fieldofresearchMedical Biotechnology
dc.subject.fieldofresearchcode11
dc.subject.fieldofresearchcode1117
dc.subject.fieldofresearchcode1103
dc.subject.fieldofresearchcode1004
dc.titleEfficacy of telemedicine on glycaemic control in patients with type 2 diabetes: A meta-analysis
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationDe Groot, J; Wu, D; Flynn, D; Robertson, D; Grant, G; Sun, J, Efficacy of telemedicine on glycaemic control in patients with type 2 diabetes: A meta-analysis, World Journal of Diabetes, 2021, 12 (2), pp. 170-197
dcterms.licensehttp://creativecommons.org/licenses/by-nc/4.0/
dc.date.updated2021-01-24T04:26:39Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
gro.hasfulltextFull Text
gro.griffith.authorSun, Jing
gro.griffith.authorDe Groot, Julia A.
gro.griffith.authorGrant, Gary D.
gro.griffith.authorRobertson, Dylan
gro.griffith.authorWu, Dongjun


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