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Digital Technology Interventions for Risk Factor Modification in Patients With Cardiovascular Disease: Systematic Review and Meta-analysis.
Akinosun, AS, Polson, R, Diaz-Skeete, Y, De Kock, JH, Carragher, L, Leslie, S, Grindle, M, Gorely, T
JMIR mHealth and uHealth. 2021;9(3):e21061
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Heart disease, stroke and their associated complications are a leading cause of death worldwide. Factors such as obesity, type 2 diabetes, smoking and inactivity all contribute to heart diseases, however these can be modified. Certain behavioural change strategies have been shown to be effective in reducing these diseases, however the emergence of the use of digital technologies to effect change needs to be better understood. This systematic review and meta-analysis aimed to determine the effectiveness of digital technology to affect change and highlight methods, which may be particularly effective. The results showed that the most researched digital device interventions were cell phones, smart phones, personal computers, and wearables coupled with the internet, SMS, and mobile sensors. Through these methods of delivery benefits were seen in total cholesterol, blood lipid concentrations, physical activity, and diet. However, there were no benefits to body mass index (BMI), blood pressure, blood sugar, alcohol intake, smoking or medication adherence. It was concluded that digital interventions may improve some clinical measures and behaviours, however some remained unaffected highlighting limitations of digital technology to affect change. This study could be used by healthcare professionals to understand that although digital interventions may help to change some aspects of behaviour, other support strategies may need to be employed in challenging cases.
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<.001; high-density lipoprotein SMD at -0.09 [-0.19, 0.00], P=.05; low-density lipoprotein SMD at -0.18 [-0.33, -0.04], P=.01; physical activity (PA) SMD at 0.23 [0.11, 0.36], P<.001; physical inactivity (sedentary) RR at 0.54 [0.39, 0.75], P<.001; and diet (food intake) RR at 0.79 [0.66, 0.94], P=.007. Initial effect estimates showed no significant benefit in body mass index (BMI) MD at -0.37 [-1.20, 0.46], P=.38; diastolic blood pressure (BP) SMD at -0.06 [-0.20, 0.08], P=.43; systolic BP SMD at -0.03 [-0.18, 0.13], P=.74; Hemoglobin A1C blood sugar (HbA1c) RR at 1.04 [0.40, 2.70], P=.94; alcohol intake SMD at -0.16 [-1.43, 1.10], P=.80; smoking RR at 0.87 [0.67, 1.13], P=.30; and medication adherence RR at 1.10 [1.00, 1.22], P=.06. 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).
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Effect of a Comprehensive Cardiovascular Risk Reduction Intervention in Persons With Serious Mental Illness: A Randomized Clinical Trial.
Daumit, GL, Dalcin, AT, Dickerson, FB, Miller, ER, Evins, AE, Cather, C, Jerome, GJ, Young, DR, Charleston, JB, Gennusa, JV, et al
JAMA network open. 2020;3(6):e207247
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Heart disease death rates in individuals with serious mental illness are double that of the general population, indicating a concerted effort is needed to help this group of people. However, previous studies on interventions have failed to show improvements indicating a requirement to identify effective solutions. This randomised control trial of 269 individuals with mental illness aimed to determine the effectiveness of an 18-month management plan to reduce heart disease risk. The results showed that heart disease risk was significantly decreased when individuals with mental illness were in a closely monitored management programme. This programme consisted of behavioural counselling and care coordination. It was concluded that a multi-faceted care management plan can significantly reduce the risk of heart disease in individuals with serious mental illness. This study could be used by health care professionals to understand that individuals with mental illness are at a higher risk of death from heart disease and that they need to consider enrolling them into a closely monitored management plan.
Abstract
Importance: Persons with serious mental illness have a cardiovascular disease mortality rate more than twice that of the overall population. Meaningful cardiovascular risk reduction requires targeted efforts in this population, who often have psychiatric symptoms and cognitive impairment. Objective: To determine the effectiveness of an 18-month multifaceted intervention incorporating behavioral counseling, care coordination, and care management for overall cardiovascular risk reduction in adults with serious mental illness. Design, Setting, and Participants: This randomized clinical trial was conducted from December 2013 to November 2018 at 4 community mental health outpatient programs in Maryland. The study recruited adults with at least 1 cardiovascular disease risk factor (hypertension, diabetes, dyslipidemia, current tobacco smoking, and/or overweight or obesity) attending the mental health programs. Of 398 participants screened, 269 were randomized to intervention (132 participants) or control (137 participants). Data collection staff were blinded to group assignment. Data were analyzed on the principle of intention to treat, and data analysis was performed from November 2018 to March 2019. Interventions: A health coach and nurse provided individually tailored cardiovascular disease risk reduction behavioral counseling, collaborated with physicians to implement appropriate risk factor management, and coordinated with mental health staff to encourage attainment of health goals. Programs offered physical activity classes and received consultation on serving healthier meals; intervention and control participants were exposed to these environmental changes. Main Outcomes and Measures: The primary outcome was the change in the risk of cardiovascular disease from the global Framingham Risk Score (FRS), which estimates the 10-year probability of a cardiovascular disease event, from baseline to 18 months, expressed as percentage change for intervention compared with control. Results: Of 269 participants randomized (mean [SD] age, 48.8 [11.9] years; 128 men [47.6%]), 159 (59.1%) had a diagnosis of schizophrenia or schizoaffective disorder, 67 (24.9%) had bipolar disorder, and 38 (14.1%) had major depressive disorder. At 18 months, the primary outcome, FRS, was obtained for 256 participants (95.2%). The mean (SD) baseline FRS was 11.5% (11.5%) (median, 8.6%; interquartile range, 3.9%-16.0%) in the intervention group and 12.7% (12.7%) (median, 9.1%; interquartile range, 4.0%-16.7%) in the control group. At 18 months, the mean (SD) FRS was 9.9% (10.2%) (median, 7.7%; interquartile range, 3.1%-12.0%) in the intervention group and 12.3% (12.0%) (median, 9.7%; interquartile range, 4.0%-15.9%) in the control group. Compared with the control group, the intervention group experienced a 12.7% (95% CI, 2.5%-22.9%; Pā=ā.02) relative reduction in FRS at 18 months. Conclusions and Relevance: An 18-month behavioral counseling, care coordination, and care management intervention statistically significantly reduced overall cardiovascular disease risk in adults with serious mental illness. This intervention provides the means to substantially reduce health disparities in this high-risk population. Trial Registration: ClinicalTrials.gov Identifier: NCT02127671.