Abstract
Background
Hypertension is a highly relevant public health challenge. Digital interventions may support improving adherence to anti-hypertensive medications and alter health behavior. Therefore, this protocol describes a study that aims to assess the effectiveness of mHealth and educational support through peer counseling (Ed-counselling) to control blood pressure in hypertensive patients when compared to standard care.
Methods
We chose a double-blinded pragmatic randomized-controlled with factorial design for this investigation. The trial is going to recruit 1648 hypertensive patients with coronary artery disease at the age of 21 to 70 years. All participants will already be on anti-hypertensive medication and own a smartphone. They will be randomized into four groups with each having 412 participants. The first group will only receive standard care; while the second group, in addition to standard care, will receive monthly Ed-counselling (educational booklets with animated infographics and peer counseling); the third group will receive daily written and voice reminders and an education-led video once weekly together with standard care; while the fourth one gets both interventions given to second and third groups respectively. All groups will be followed-up for 1 year (0, 6, and 12 months). The primary outcome will be the change in systolic blood pressure while secondary outcomes include health-related quality of life and changes in medication adherence. For measuring changes in systolic blood pressure (SBP) and adherence scores difference at 0, 6, and 12 months between and within the group, parametric (ANOVA/repeated measure ANOVA) and non-parametric tests (Kruskal-Wallis test/Friedman test) will be used. By using the general estimating equation (GEE) with negative binomial regression, at 12 months, the covariates affecting primary and secondary outcomes will be determined and controlled. The analysis will be intention-to-treat. All the outcomes will be analyzed at 0, 6, and 12 months; however, the final analysis will be at 12 months from baseline.
Discussion
Besides adding up to existing evidence in the literature on the subject, our designed modules using mHealth technology can help in reducing hypertension-related morbidity and mortality in developing countries.
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Details
1 Universiti Putra Malaysia, Department of Community Health, Faculty of Medicine and Health Sciences, Serdang, Malaysia (GRID:grid.11142.37) (ISNI:0000 0001 2231 800X)
2 Institute of Social and Cultural Studies, University of Punjab, Department of Public Health, Lahore, Pakistan (GRID:grid.11173.35) (ISNI:0000 0001 0670 519X)
3 King Faisal University, Preventive Dentistry Department, College of Dentistry, Hofuf, Saudi Arabia (GRID:grid.412140.2) (ISNI:0000 0004 1755 9687)
4 Punjab Employees Social Security Institute, Department of Gynaecology and Obstetrics, Lahore, Pakistan (GRID:grid.412140.2)
5 Rehmatul lil Alameen Institute of Cardiology, Department of Cardiology, Lahore, Pakistan (GRID:grid.412140.2)
6 Institute of Public Health, Charité – Universitätsmedizin Berlin, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662); Kempten University of Applied Sciences, Bavarian Research Center for Digital Health and Social Care, Kempten, Germany (GRID:grid.200773.1) (ISNI:0000 0000 9807 4884)




