A review of the effectiveness of telemedicine in glycemic control in diabetes mellitus patients.
Clara Fernanda KusumaLevina AristawidyaChairani Putri SusantiAngga Prawira KautsarPublished in: Medicine (2022)
This review aimed to evaluate the effectiveness of telemedicine as an intervention for patients with diabetes mellitus, considering blood glucose levels as the primary outcome. A comprehensive literature search was performed using the PubMed, Embase, Web of Science, and EBSCO databases. This narrative review covered randomized controlled trials published in English. The process of selecting studies adhered to the preferred reporting items for systematic reviews and meta-analyses guidelines. Nine studies were selected, and their data were analyzed and summarized. Five of the nine reviewed studies found that telemedicine counseling was effective in decreasing glycated hemoglobin A (HbA1c) levels in the blood. Due to methodological limitations, one study could not report HbA1c results, and two studies reported that telemedicine counseling did not lead to any significant changes in HbA1c levels. One study found that while HbA1c levels did not show a marked decrease, patients' treatment adherence and quality of life improved when telemedicine was combined with health counseling. Moreover, six studies found that telemedicine counseling was more effective than traditional counseling regarding secondary outcomes. The overall findings of this review suggest that telemedicine counseling is more effective than conventional counseling in achieving decreased blood glucose levels in patients with diabetes mellitus while increasing their treatment adherence and improving their quality of life.
Keyphrases
- glycemic control
- blood glucose
- type diabetes
- randomized controlled trial
- systematic review
- smoking cessation
- meta analyses
- hiv testing
- end stage renal disease
- ejection fraction
- case control
- newly diagnosed
- weight loss
- insulin resistance
- healthcare
- peritoneal dialysis
- men who have sex with men
- blood pressure
- skeletal muscle
- emergency department
- machine learning
- mental health
- patient reported outcomes
- metabolic syndrome
- electronic health record
- big data
- human immunodeficiency virus
- replacement therapy
- social media
- study protocol
- red blood cell
- patient reported