Increasing cardiovascular medication adherence: A medical research council complex mhealth intervention mixed-methods feasibility study to inform global practice

Optimising the implementation of digital-supported interventions for the secondary prevention of heart disease: a systematic review using the RE-AIM planning and evaluation framework

BACKGROUND

mHealth technologies are now widely utilised to support the delivery of secondary prevention programs in heart disease. Interventions with mHealth included have shown a similar efficacy and safety to conventional programs with improvements in access and adherence. However, questions remain regarding the successful wider implementation of digital-supported programs. By applying the Reach-Effectiveness-Adoption-Implementation-Maintenance (RE-AIM) framework to a systematic review and meta-analysis, this review aims to evaluate the extent to which these programs report on RE-AIM dimensions and associated indicators.

METHODS

This review extends our previous systematic review and meta-analysis that investigated the effectiveness of digital-supported programs for patients with coronary artery disease. Citation searches were performed on the 27 studies of the systematic review to identify linked publications that reported data for RE-AIM dimensions. All included studies and, where relevant, any additional publications, were coded using an adapted RE-AIM extraction tool. Discrepant codes were discussed amongst reviewers to gain consensus. Data were analysed to assess reporting on indicators related to each of the RE-AIM dimensions, and average overall reporting rates for each dimension were calculated.

RESULTS

Searches found an additional nine publications. Across 36 publications that were linked to the 27 studies, 24 (89%) of the studies were interventions solely delivered at home. The average reporting rates for RE-AIM dimensions were highest for effectiveness (75%) and reach (67%), followed by adoption (54%), implementation (36%) and maintenance (11%). Eleven (46%) studies did not describe relevant characteristics of their participants or of staff involved in the intervention; most studies did not describe unanticipated consequences of the intervention; the ongoing cost of intervention implementation and maintenance; information on intervention fidelity; long-term follow-up outcomes, or program adaptation in other settings.

CONCLUSIONS

Through the application of the RE-AIM framework to a systematic review we found most studies failed to report on key indicators. Failing to report these indicators inhibits the ability to address the enablers and barriers required to achieve optimal intervention implementation in wider settings and populations. Future studies should consider alternative hybrid trial designs to enable reporting of implementation indicators to improve the translation of research evidence into routine practice, with special consideration given to the long-term sustainability of program effects as well as corresponding ongoing costs.

REGISTRATION

PROSPERO-CRD42022343030.

Digital Health Programs to Reduce Readmissions in Coronary Artery Disease: A Systematic Review and Meta-Analysis

Background

The use of mobile health (mHealth, wireless communication devices, and/or software technologies) in health care delivery has increased rapidly in recent years. Their integration into disease management programs (DMPs) has tremendous potential to improve outcomes for patients with coronary artery disease (CAD), yet a more robust evaluation of the evidence is required.

Objectives

The purpose of this study was to undertake a systematic review and meta-analysis of mHealth-enabled DMPs to determine their effectiveness in reducing readmissions and mortality in patients with CAD.

Methods

We systematically searched English language studies from January 1, 2007, to August 3, 2021, in multiple databases. Studies comparing mHealth-enabled DMPs with standard DMPs without mHealth were included if they had a minimum 30-day follow-up for at least one of all-cause or cardiovascular-related mortality, readmissions, or major adverse cardiovascular events.

Results

Of the 3,411 references from our search, 155 full-text studies were assessed for eligibility, and data were extracted from 18 publications. Pooled findings for all-cause readmissions (10 studies, n = 1,514) and cardiac-related readmissions (9 studies, n = 1,009) indicated that mHealth-enabled DMPs reduced all-cause (RR: 0.68; 95% CI: 0.50-0.91) and cardiac-related hospitalizations (RR: 0.55; 95% CI: 0.44-0.68) and emergency department visits (RR: 0.37; 95% CI: 0.26-0.54) compared to DMPs without mHealth. There was no significant reduction for mortality outcomes (RR: 1.72; 95% CI: 0.64-4.64) or major adverse cardiovascular events (RR: 0.68; 95% CI: 0.40-1.15).

Conclusions

DMPs integrated with mHealth should be considered an effective intervention for better outcomes in patients with CAD.

Acceptability and applicability of an intervention programme with substance addicts

The complexity of the problems related to the harmful use of substances requires regular questioning of practices. This article aims to explore the acceptability and applicability of an intervention programme for patients with problematic substance use. Qualitative study. Data collection, through a focus group with 6 nurses and 6 semi-structured interviews with patients under treatment. We have used lexicographic textual analysis. From the focus group, 151 text segments were analysed, retaining 85.8% of the total for the creation of five classes. An analysis of similarity led to the formation of two central nuclei, represented by the words "Nursing" and "Intervention". From interviews, 252 text segments were analysed, retaining 71.83% for the creation of 5 classes. An analysis of similarity led to the formation of three central nuclei, represented by the words "want", "programme" and "see". Nurses recognise the need for a more structured and flexible approach focused on people's needs. Users also affirm the need for flexible interventions, without a pre-established time frame, that promote labour integration, therapeutic support for abstinence and management of comorbidities.

Smartphone-based interventions in the secondary prevention of cardiovascular disease: A meta-analysis

BACKGROUND

A variety of reviews have indicated the effectiveness of smartphone-based interventions in preventing secondary cardiovascular disease (CVD). However, few studies have focused on clinical outcomes.

OBJECTIVE

This meta-analysis aimed to evaluate the potential benefits of application interventions and short message service (SMS) interventions on CVD outcomes.

METHODS

Electronic databases were searched to identify randomized controlled trials (RCT) investigating an application or SMS intervention for secondary CVD prevention. Primary outcomes included major adverse cardiovascular events (MACE), cardiovascular death, and cardiac hospitalization. Secondary outcomes were cardiovascular risk factors (BMI, blood pressure, and cholesterol).

RESULTS

A total of 26 RCTs were included, with 16 investigating applications and 10 assessing SMS. Overall, there was no significant difference in MACE, cardiovascular death, and cardiac hospitalization when comparing application interventions with usual care, as well as comparing SMS with usual care. Subgroup analysis revealed that patients who received applications without a medical interface had a significantly lower incidence of MACE (OR = 0.56; 95% CI: 0.33, 0.98). Participants who received applications with a medical interface showed a tendency towards higher rates of cardiac hospitalization (OR = 2.03; 95% CI: 0.85, 4.87). Significant reduction in waist circumference (SMD =-0.80; 95% CI: -1.58, -0.03) was found in application interventions compared to usual care; while significant reductions in SBP (SMD =-0.08; 95% CI: -0.15, -0.01) and TC (SMD =-0.31; 95% CI: -0.57, -0.08) were found in SMS interventions compared to usual care.

CONCLUSION

Smartphone-based interventions, including applications and SMS, have the potential to benefit the secondary prevention of CVD. Applications may reduce the incidence of cardiovascular-related adverse events, while SMS interventions may improve cardiovascular risk factors.