TY - JOUR
T1 - Effectiveness of Remotely Delivered Interventions to Simultaneously Optimize Management of Hypertension, Hyperglycemia and Dyslipidemia in People With Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
AU - Fernando, Malindu E
AU - Seng, Leonard
AU - Drovandi, Aaron
AU - Crowley, Benjamin J
AU - Golledge, Jonathan
N1 - Funding Information:
This work was supported by the Townsville Hospital and Health Service Study, Education and Research Trust Account (SERTA) Fund, the James Cook University Strategic Research Investment Fund, and the Queensland Government. JG holds a Practitioner Fellowship from the National Health and Medical Research Council (1117061) and a Senior Clinical Research Fellowship from the Queensland Government, Australia. The funders played no role in study design, conduct, data collection, analysis and interpretation, and did not assist in preparation or review of this manuscript.
Publisher Copyright:
Copyright © 2022 Fernando, Seng, Drovandi, Crowley and Golledge.
Copyright © 2022 Fernando, Seng, Drovandi, Crowley and Golledge.
PY - 2022/3/15
Y1 - 2022/3/15
N2 - Background: Remotely delivered interventions may be more efficient in controlling multiple risk factors in people with diabetes. Purpose: To pool evidence from randomized controlled trials testing remote management interventions to simultaneously control blood pressure, blood glucose and lipids. Data Sources: PubMed/Medline, EMBASE, CINAHL and the Cochrane library were systematically searched for randomized controlled trials (RCTs) until 20
th June 2021. Study Selection: Included RCTs were those that reported participant data on blood pressure, blood glucose, and lipid outcomes in response to a remotely delivered intervention. Data Extraction: Three authors extracted data using a predefined template. Primary outcomes were glycated hemoglobin (HbA1c), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c), systolic and diastolic blood pressure (SBP & DBP). Risk of bias was assessed using the Cochrane collaboration RoB-2 tool. Meta-analyses are reported as standardized mean difference (SMD) with 95% confidence intervals (95%CI). Data Synthesis: Twenty-seven RCTs reporting on 9100 participants (4581 intervention and 4519 usual care) were included. Components of the remote management interventions tested were identified as patient education, risk factor monitoring, coaching on monitoring, consultations, and pharmacological management. Comparator groups were typically face-to-face usual patient care. Remote management significantly reduced HbA1c (SMD -0.25, 95%CI -0.33 to -0.17, p<0.001), TC (SMD -0.17, 95%CI -0.29 to -0.04, p<0.0001), LDL-c (SMD -0.11, 95%CI -0.19 to -0.03, p=0.006), SBP (SMD -0.11, 95%CI -0.18 to -0.04, p=0.001) and DBP (SMD -0.09, 95%CI -0.16 to -0.02, p=0.02), with low to moderate heterogeneity (I²= 0 to 75). Twelve trials had high risk of bias, 12 had some risk and three were at low risk of bias. Limitations: Heterogeneity and potential publication bias may limit applicability of findings. Conclusions: Remote management significantly improves control of modifiable risk factors. Systematic Review Registration: [https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=258433], identifier PROSPERO (CRD42021258433).
AB - Background: Remotely delivered interventions may be more efficient in controlling multiple risk factors in people with diabetes. Purpose: To pool evidence from randomized controlled trials testing remote management interventions to simultaneously control blood pressure, blood glucose and lipids. Data Sources: PubMed/Medline, EMBASE, CINAHL and the Cochrane library were systematically searched for randomized controlled trials (RCTs) until 20
th June 2021. Study Selection: Included RCTs were those that reported participant data on blood pressure, blood glucose, and lipid outcomes in response to a remotely delivered intervention. Data Extraction: Three authors extracted data using a predefined template. Primary outcomes were glycated hemoglobin (HbA1c), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c), systolic and diastolic blood pressure (SBP & DBP). Risk of bias was assessed using the Cochrane collaboration RoB-2 tool. Meta-analyses are reported as standardized mean difference (SMD) with 95% confidence intervals (95%CI). Data Synthesis: Twenty-seven RCTs reporting on 9100 participants (4581 intervention and 4519 usual care) were included. Components of the remote management interventions tested were identified as patient education, risk factor monitoring, coaching on monitoring, consultations, and pharmacological management. Comparator groups were typically face-to-face usual patient care. Remote management significantly reduced HbA1c (SMD -0.25, 95%CI -0.33 to -0.17, p<0.001), TC (SMD -0.17, 95%CI -0.29 to -0.04, p<0.0001), LDL-c (SMD -0.11, 95%CI -0.19 to -0.03, p=0.006), SBP (SMD -0.11, 95%CI -0.18 to -0.04, p=0.001) and DBP (SMD -0.09, 95%CI -0.16 to -0.02, p=0.02), with low to moderate heterogeneity (I²= 0 to 75). Twelve trials had high risk of bias, 12 had some risk and three were at low risk of bias. Limitations: Heterogeneity and potential publication bias may limit applicability of findings. Conclusions: Remote management significantly improves control of modifiable risk factors. Systematic Review Registration: [https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=258433], identifier PROSPERO (CRD42021258433).
KW - blood pressure
KW - cholesterol
KW - lipids
KW - systematic review
KW - telehealth
U2 - 10.3389/fendo.2022.848695
DO - 10.3389/fendo.2022.848695
M3 - Article
C2 - 35370974
SN - 1664-2392
VL - 13
JO - Frontiers in Endocrinology
JF - Frontiers in Endocrinology
M1 - 848695
ER -
