1. Digital Technology Interventions for Risk Factor Modification in Patients With Cardiovascular Disease: Systematic Review and Meta-analysis
- Author
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Johannes H. De Kock, Mark Grindle, Stephen J Leslie, Lucia Carragher, Trish Gorely, Adewale Samuel Akinosun, Yohanca Diaz-Skeete, and Rob Polson
- Subjects
medicine.medical_specialty ,telehealth ,Psychological intervention ,Health Informatics ,Blood Pressure ,Review ,Information technology ,030204 cardiovascular system & hematology ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,Randomized controlled trial ,systematic review ,law ,Risk Factors ,Statistical significance ,medicine ,Humans ,030212 general & internal medicine ,Risk factor ,Exercise ,Randomized Controlled Trials as Topic ,digital technologies ,mobile phone ,Digital Technology ,business.industry ,behavior ,Behavior change ,T58.5-58.64 ,cardiovascular diseases ,meta-analysis ,cardiac rehabilitation ,mHealth ,Relative risk ,Meta-analysis ,Physical therapy ,eHealth ,Public aspects of medicine ,RA1-1270 ,business ,Body mass index - Abstract
Background Approximately 50% of cardiovascular disease (CVD) cases are attributable to lifestyle risk factors. Despite widespread education, personal knowledge, and efficacy, many individuals fail to adequately modify these risk factors, even after a cardiovascular event. Digital technology interventions have been suggested as a viable equivalent and potential alternative to conventional cardiac rehabilitation care centers. However, little is known about the clinical effectiveness of these technologies in bringing about behavioral changes in patients with CVD at an individual level. Objective The aim of this study is to identify and measure the effectiveness of digital technology (eg, mobile phones, the internet, software applications, wearables, etc) interventions in randomized controlled trials (RCTs) and determine which behavior change constructs are effective at achieving risk factor modification in patients with CVD. Methods This study is a systematic review and meta-analysis of RCTs designed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analysis) statement standard. Mixed data from studies extracted from selected research databases and filtered for RCTs only were analyzed using quantitative methods. Outcome hypothesis testing was set at 95% CI and P=.05 for statistical significance. Results Digital interventions were delivered using devices such as cell phones, smartphones, personal computers, and wearables coupled with technologies such as the internet, SMS, software applications, and mobile sensors. Behavioral change constructs such as cognition, follow-up, goal setting, record keeping, perceived benefit, persuasion, socialization, personalization, rewards and incentives, support, and self-management were used. The meta-analyzed effect estimates (mean difference [MD]; standard mean difference [SMD]; and risk ratio [RR]) calculated for outcomes showed benefits in total cholesterol SMD at −0.29 [−0.44, −0.15], P Conclusions Digital interventions may improve healthy behavioral factors (PA, healthy diet, and medication adherence) and are even more potent when used to treat multiple behavioral outcomes (eg, medication adherence plus). However, they did not appear to reduce unhealthy behavioral factors (smoking, alcohol intake, and unhealthy diet) and clinical outcomes (BMI, triglycerides, diastolic and systolic BP, and HbA1c).
- Published
- 2021