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A Meta-Analysis of eHealth Interventions on Ischaemic Heart Disease Health Outcomes Cover

A Meta-Analysis of eHealth Interventions on Ischaemic Heart Disease Health Outcomes

Open Access
|Mar 2023

Figures & Tables

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Figure 1

PRISMA diagram of identifying studies of eHealth interventions [17].

Table 1

Characteristics of reviewed studies (n = 10).

AUTHOR, YEARCOUNTRYPARTICIPANTS MEAN AGE (SD)SAMPLE SIZESTUDY DURATION (FOLLOW UP)INTERVENTION GROUPCONTROL GROUPHEALTH OUTCOMES
PHYSICALNON-PHYSICAL
BEHAVIOURALPSYCHOLOGICALOTHERS
Dale 2015 [19]New Zealand59.5 (11.1)12310 monthsGuidelines delivered by SMS and a supporting website over 24 weeks to educate patients about cardiovascular risk factors and support to make relevant lifestyle changes. Recommended lifestyle changes included stopping smoking, limiting alcohol consumption, eating right and maintaining regular physical activityUsual careBMI, BP, lipid profileMedication adherence, physical activity, health behaviourAnxiety, Depression
Frederix 2015 [20]Belgium61 (9)1401 year 7 months24-week telerehabilitation programme in combination with conventional cardiac rehabilitationConventional cardiac rehabilitationBMI, BPPhysical activityQoL
Martin 2015 [21]United States of America58 (8)484 monthsReceiving SMSUsual care
Skobel 2017 [22]Spain, United Kingdom and Germany*IG: 60 (50/65)*CG: 58 (52/67)1181 year 10 monthsGEX, sensor monitor breathing rate, ECGConventional careBMI, BP, lipid profile-Anxiety, depressionQoL
Kamal 2018 [23]PakistanIG: 59.1 (11.6)CG: 57.7 (11.1)1979 monthsAccess to helpline number to address queries in addition to standard of care as per institutional guidelines, IVR technology tailored to their respective prescriptions and have the ability to hear information about medication dosage, correct use, side effects, mechanism of action and how and why use the medication. Also receive scheduled SMS message reminders to take their medications.Regular follow-up visits with stroke neurologist or cardiologistMedication adherence
Choi 2019 [24]AmericanIG: 57.2 (1.8)CG: 56.6 (1.7)1006 monthsCustom smartphone application that reinforced the Mediterranean dietIn-person dietary counselling sessions with registered dietitian at 1 month and 3 monthsBMI, BP, lipid profileDiet
Dorje 2019 [25]ChinaIG: 59.1 (9.4)CG: 61.9 (8.7)3124 months (FU-1 year)Standard care and 2-month intensive SMART-CR/SP programme, followed by a 4-month step-down stage. During the intensive phase, participants received four educational modules per week via WeChat. In the step-down phase, participants received only 2 cartoon pictures with key motivational message per week.Standard care provided by community doctors and cardiologists (brief inpatient health education by ward nurse, medication management, and ad-hoc follow-up visits to a cardiologist or other health-care providers according to the patient’s self-assessment of their cardiovascular health). WeChat for sending follow-up visit remindersBMI, BP, lipid profileMedication adherence, physical activity, dietary behaviour, smoking cessationQoL
Broers 2020 [26]Netherlands and Spain61.97 (11.61)1505 months (FU-6 months)Ambulatory health-behaviour assessment technologies for 6 months combined with a 3-month behavioural intervention programmeUsual careHealth Promotion Lifestyle ProfileQoL
Lunde 2020 [27]Norway59 (8.7)1139 months (FU-1 year)Individualised follow-up enabled with an application for one yearUsual careBP, lipid profileQoL
Song 2020 [28]ChinaIG: 54.17 (8.76)CG: 54.83 (9.13)1066 monthsUsing telemonitoring software (MEMRS-CRS, developed by Medicus) on smartphones, heart rate monitors (Suunto, provided by Medicus) for monitoring patients’ HRUsual carePhysical activity

[i] SD: standard deviation, IG: intervention group, CG: control group, FU: follow up post-intervention, HR: heart rate, BP: blood pressure, BMI: Body Mass Index, SMS: Short Message Service, QoL: Quality of Life, IVR: Interactive Voice Response, GEX: Guided exercise system, ECG: Electrocardiogram, SMART-CR/SP: smartphone-based and WeChat-based cardiac rehabilitation and secondary prevention.

* Median (25th/75th centile).

Table 2

Overview of the overall modality of the eHealth interventions (n = 10).

AUTHOR, YEAREHEALTH INTERVENTIONS MODALITY
SMARTPHONE MOBILE APPLICATIONSMSWEBSITEEMAILTELEMONITORINGPHONE CALLOTHER DEVICES
Dale 2015 [19]//Pedometer
Frederix 2015 [20]///Accelerometer
Martin 2015 [21]///Accelerometer
Skobel 2017 [22]//
Kamal 2018 [23]///
Choi 2019 [24]/
Dorje 2019 [25]//
Broers 2020 [26]///Smartwatch, sleep tracker
Lunde 2020 [27]/
Song 2020 [28]////Heart rate monitors

[i] SMS: Short Message Service.

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Figure 2

(a) The risk-of-bias graph: proportions of studies with low, high, and unclear risks of bias in each domain. (b) The risk-of-bias summary: the risk-of-bias judgement of each included study in each domain.

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Figure 3

The effect of eHealth intervention on physical health outcomes. (a) The effect of eHealth intervention on BMI at 6 months (n = 5). (b) The effect of eHealth intervention on Systolic BP at 6 months (n = 5). (c) The effect of eHealth intervention on Diastolic BP at 6 months (n = 4). (d) The effect of eHealth intervention on LDL at 6 and 12 months (n = 6). (e) The effect of eHealth intervention on HDL at 6 and 12 months (n = 6). (f) The effect of eHealth intervention on Total Cholesterol at 6 and 12 months (n = 6).

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Figure 4

Funnel plot comparison of eHealth intervention for physical health outcomes. (a) Funnel plot comparison of eHealth intervention for BMI (n = 5). (b) Funnel plot comparison of eHealth intervention for resting systolic BP at 6 months (n = 5). (c) Funnel plot comparison of eHealth intervention for resting diastolic BP at 6 months (n = 4). (d) Funnel plot comparison of eHealth intervention for LDL at 6 and 12 months (n = 6). (e) Funnel plot comparison of eHealth intervention for HDL at 6 and 12 months (n = 6). (f) Funnel plot comparison of eHealth intervention for Total Cholesterol at 6 and 12 months (n = 6).

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Figure 5

Sensitivity analysis on the effect of eHealth intervention on BP at 6 months. (a) Sensitivity analysis on the effect of eHealth intervention on Systolic BP at 6 months (n = 3). (b) Sensitivity analysis on the effect of eHealth intervention on Diastolic BP at 6 months (n = 3).

Table 3

Outcome summary for non-physical health outcomes utilising eHealth interventions (n = 10).

AUTHOR, YEAR, STUDY DURATION OUTCOMENON-PHYSICAL HEALTH OUTCOME (EHEALTH INTERVENTION VERSUS CONTROL)
BEHAVIOURALPSYCHOLOGICALQUALITY OF LIFE
MEDICATION ADHERENCEPHYSICAL ACTIVITYDIETARY BEHAVIOUROTHERS
Dale 2015 [19], at 6 monthsMMAS-8
Mean difference: 0.58, 95% CI 0.19–0.97; ** p = 0.004
Godin Leisure Time Physical Activity Questionnaire
IG: 28% to 31%
CG: 11% to 24%
Self-reported composite health behaviour
AOR: 1.93, 95% CI 0.83–4.53; p = 0.13
IG: 33% to 53%CG: 27% to 39%
HADS (anxiety)
Mean difference: 1.18, 95% CI 0.28, 2.08; * p = 0.01
Frederix 2015 [20], at 6 monthsIPAQ in MET-min/week of VMW
IG: χ2 (2): 13.7; * p = 0.01CG: χ2 (2): 0.6; p = 0.72
HRQL
IG: χ2 (2): 14.0; ** p < 0.001
CG: χ2 (2): 3.1; p = 0.21
Martin 2015 [21]Daily steps
Mean difference:
3376, 95% CI 1951–4801; ** p < 0.001
Skobel 2017 [22], at 6 monthsHADS (Anxiety)
Mean (SD); p = 0.1
IG: 1.6 (3.1)
CG: –0.63 (3.8)
HADS (Depression)
Mean (SD)
p = 0.27
IG: 1.36 (3.7)
CG: 0 (1.6)
EQ–5D
Mean (SD); p = 0.98
IG: 0.64 (13.9)
CG: 0.54 (10.7)
Kamal 2018 [23], at 3 monthsMMAS–8
Mean difference (SD): –0.06 (0.13), 95% CI –0.39–0.19; p = 0.69
Choi 2019 [24], at 6 monthsMDS compliance
(** p < 0.001)
IG: 27.5% to 64.7%
CG: 18.4% to 57.1%
Dorje 2019 [25], at 6 monthsAdherence to cardioprotective medications
Mean difference: 1.79, 95% CI 1.76–1.87; * p = 0.019
SF-12 Physical Health score
Mean difference: 1.26, 95% CI –0.74 – 3.26; p = 0.22
Smoking status
Mean difference: 2.42, 95% CI 0.42–14.00; p = 0.32
GAD–7
Mean difference: 0.60, 95% CI –0.25 – 1.46; p = 0.17
Broers 2020 [26], at 6 monthsHealth Promotion Lifestyle Profile
F unadjusted (2,271.90) = 8.28; ** p < 0.001
WHOQOL-BREF
F(2,135.42) = 9.63; ** p < 0.001
Lunde 2020 [27], at 1 yearExercise habits
Mean change (SD)
IG: 1.4 (1.5); (** p < 0.001)
CG: 0.6 (1.1); (** p < 0.001)
Heart QoL
Mean change (SD)
IG: 0.21 (0.47); (* p < 0.05)
CG: 0.09 (0.45)
Song 2020 [28], at 6 monthsExercise habits based on ACSM
χ2 9.826; * p = 0.02
-
Outcome summarySignificantSignificantSignificantNot significantNot significantNot significant

[i] IG: Intervention group, CG: Control group, MMAS-8: Morisky 8-item Medication Adherence Questionnaire, HADS: Hospital Anxiety and Depression Scale, VMW: vigorous and/or moderate and/or walking, IPAQ: International Physical Activity Questionnaire, HRQL: Health-Related Quality of Life, χ2 (2): Friedman’s test, EQ-5D: European Quality of Life Five Dimension, MDS: Mediterranean diet scores, SF-12: 12-Item Short Form Survey, GAD-7: GAD-7: Generalised Anxiety Disorder 7-item scale, WHOQOL-BREF: World Health Organization Quality of Life–BREF, F: Analysis of Variance (ANOVA), HeartQol: Heart Quality of Life, ACSM: 10th Edition American College of Sports Medicine Guidelines for Exercise Testing and Prescription.

* Statistical significance: p < 0.05, ** p < 0.005.

DOI: https://doi.org/10.5334/gh.1173 | Journal eISSN: 2211-8179
Language: English
Submitted on: Mar 11, 2022
|
Accepted on: Nov 14, 2022
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Published on: Mar 16, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Puteri Sofia Nadira Megat Kamaruddin, Azmawati Mohammed Nawi, Mohd Rizal Abdul Manaf, Mohamad Nurman Yaman, Abdul Muizz Abd Malek, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.