Who Signs Up for and Engages in a Peer Support Heart Failure Self-management Intervention

Peer Support for Patients With Heart Failure: A Systematic Review and Meta-Analysis

Peer support, which is given by people with similar life experiences and experiential knowledge, has been shown to be effective for patients with diabetes and mental illness. However, the impact of such peer support on patients coping with heart failure remains indeterminate. The objective of this systematic review and meta-analysis is to scrutinize the potential benefits of peer support for patients with heart failure. We included randomized controlled trials (RCTs) evaluating the effectiveness of peer support for patients with heart failure in contrast to those without peer support. We searched the Cochrane Central Register of Controlled Trials, MEDLINE, Embase, WHO International Clinical Trials Registry Platform, and ClinicalTrials.gov until October 2022. We pooled the data on mortality, readmission rate, and quality of life (QoL) as primary outcomes. The certainty of evidence was evaluated by the grading of recommendations assessment, development, and evaluation (GRADE) approach. We included three studies with 390 patients with heart failure. Peer support may have resulted in a slight increase in mortality (risk ratio (RR)=1.16, 95% confidence interval (CI)=0.61-2.21; low certainty of the evidence) and in a reduction in the readmission rate (RR=0.93, 95% CI=0.74-1.17; low certainty of the evidence). The evidence was very uncertain about the effect of peer support on QoL (standardized mean difference 2.03 higher in the intervention group, 95% CI=1.79 lower to 5.84 higher; very low certainty of the evidence). Despite that the certainty is low or very low, the extant data available evidence suggests that peer support may not yield substantial improvements in critical outcomes for patients with heart failure. Consequently, endorsing peer support for patients with heart failure currently seems unjustifiable.

Social network interventions to support cardiac rehabilitation and secondary prevention in the management of people with heart disease

BACKGROUND

Globally, cardiovascular diseases (CVD, that is, coronary heart (CHD) and circulatory diseases combined) contribute to 31% of all deaths, more than any other cause. In line with guidance in the UK and globally, cardiac rehabilitation programmes are widely offered to people with heart disease, and include psychosocial, educational, health behaviour change, and risk management components. Social support and social network interventions have potential to improve outcomes of these programmes, but whether and how these interventions work is poorly understood.  OBJECTIVES: To assess the effectiveness of social network and social support interventions to support cardiac rehabilitation and secondary prevention in the management of people with heart disease. The comparator was usual care with no element of social support (i.e. secondary prevention alone or with cardiac rehabilitation).  SEARCH METHODS: We undertook a systematic search of the following databases on 9 August 2022: CENTRAL, MEDLINE, Embase, and the Web of Science. We also searched ClinicalTrials.gov and the WHO ICTRP. We reviewed the reference lists of relevant systematic reviews and included primary studies, and we contacted experts to identify additional studies.  SELECTION CRITERIA: We included randomised controlled trials (RCTs) of social network or social support interventions for people with heart disease. We included studies regardless of their duration of follow-up, and included those reported as full text, published as abstract only, and unpublished data.

DATA COLLECTION AND ANALYSIS

Using Covidence, two review authors independently screened all identified titles. We retrieved full-text study reports and publications marked 'included', and two review authors independently screened these, and conducted data extraction. Two authors independently assessed risk of bias, and assessed the certainty of the evidence using GRADE. Primary outcomes were all-cause mortality, cardiovascular-related mortality, all-cause hospital admission, cardiovascular-related hospital admission, and health-related quality of life (HRQoL) measured at > 12 months follow-up.  MAIN RESULTS: We included 54 RCTs (126 publications) reporting data for a total of 11,445 people with heart disease. The median follow-up was seven months and median sample size was 96 participants. Of included study participants, 6414 (56%) were male, and the mean age ranged from 48.6 to 76.3 years. Studies included heart failure (41%), mixed cardiac disease (31%), post-myocardial infarction (13%), post-revascularisation (7%), CHD (7%), and cardiac X syndrome (1%) patients. The median intervention duration was 12 weeks. We identified notable diversity in social network and social support interventions, across what was delivered, how, and by whom.  We assessed risk of bias (RoB) in primary outcomes at > 12 months follow-up as either 'low' (2/15 studies), 'some concerns' (11/15), or 'high' (2/15). 'Some concerns' or 'high' RoB resulted from insufficient detail on blinding of outcome assessors, data missingness, and absence of pre-agreed statistical analysis plans. In particular, HRQoL outcomes were at high RoB. Using the GRADE method, we assessed the certainty of evidence as low or very low across outcomes. Social network or social support interventions had no clear effect on all-cause mortality (risk ratio (RR) 0.75, 95% confidence interval (CI) 0.49 to 1.13, I2 = 40%) or cardiovascular-related mortality (RR 0.85, 95% CI 0.66 to 1.10, I2 = 0%) at > 12 months follow-up. The evidence suggests that social network or social support interventions for heart disease may result in little to no difference in all-cause hospital admission (RR 1.03, 95% CI 0.86 to 1.22, I2 = 0%), or cardiovascular-related hospital admission (RR 0.92, 95% CI 0.77 to 1.10, I2 = 16%), with a low level of certainty. The evidence was very uncertain regarding the impact of social network interventions on HRQoL at > 12 months follow-up (SF-36 physical component score: mean difference (MD) 31.53, 95% CI -28.65 to 91.71, I2 = 100%, 2 trials/comparisons, 166 participants; mental component score MD 30.62, 95% CI -33.88 to 95.13, I2 = 100%, 2 trials/comparisons, 166 participants).  Regarding secondary outcomes, there may be a decrease in both systolic and diastolic blood pressure with social network or social support interventions. There was no evidence of impact found on psychological well-being, smoking, cholesterol, myocardial infarction, revascularisation, return to work/education, social isolation or connectedness, patient satisfaction, or adverse events.  Results of meta-regression did not suggest that the intervention effect was related to risk of bias, intervention type, duration, setting, and delivery mode, population type, study location, participant age, or percentage of male participants.  AUTHORS' CONCLUSIONS: We found no strong evidence for the effectiveness of such interventions, although modest effects were identified in relation to blood pressure. While the data presented in this review are indicative of potential for positive effects, the review also highlights the lack of sufficient evidence to conclusively support such interventions for people with heart disease. Further high-quality, well-reported RCTs are required to fully explore the potential of social support interventions in this context. Future reporting of social network and social support interventions for people with heart disease needs to be significantly clearer, and more effectively theorised, in order to ascertain causal pathways and effect on outcomes.

Peer Coaching to Improve Diabetes Self-Management Among Low-Income Black Veteran Men: A Mixed Methods Assessment of Enrollment and Engagement

PURPOSE

We undertook a study to ascertain patient characteristics associated with enrollment and engagement in a type 2 diabetes peer health coaching program at an urban health care facility serving predominantly Black veteran men, to improve the targeting of such programs.

METHODS

A total of 149 patients declined enrollment in a randomized controlled trial but provided sociodemographic, clinical, and psychosocial information. A total of 290 patients enrolled and were randomized to 2 peer coaching programs; they provided sociodemographic, clinical, and survey data, and were analyzed according to their level of program engagement (167 engaged, 123 did not engage) irrespective of randomization group. Qualitative interviews were conducted with 14 engaged participants.

RESULTS

Patients who enrolled were more likely to be Black men, have higher levels of education, have higher baseline hemoglobin A_1c levels, describe their diabetes self-management as "fair" or "poor," and agree they "find it easy to get close to others" (P <.05 for each). At the program's end, patients who had engaged were more likely than those who had not to describe their peer coaches as being supportive of their autonomy (mean score, 85.4 vs 70.7; P <.001). The importance of coaches being encouraging, supportive, and having common ground/shared experiences with participants also emerged as key themes in interviews with engaged participants.

CONCLUSION

Individuals with greatest perceived need were more likely to enroll in our trial of peer coaching, but the only factor associated with engagement was finding one's coach to support autonomy. Our findings reinforce the importance of training and ensuring fidelity of peer coaches to autonomy-supportive communication styles for participant engagement. In tailoring peer support programs for Black men, future research should elucidate which shared characteristics between participant and peer coach are most important for engagement and improved outcomes.Visual abstract.

Self-management on heart failure: A meta-analysis

BACKGROUND AND AIMS

Heart failure (HF) is a severe public health problem all over the World. Self-management is an effective method to progress self-care ability. However, the role of self-management in heart failure has not been thoroughly elucidated.

METHODS

The research articles related to heart failure were searched by the PubMed, Embase, Cochrane databases, and China National Knowledge Database on articles published through March 2020. The average 95% of confidence intervals (CIs) were used to calculate using random-effects or fixed-effects. Review Manager (version 5.2) was adopted for meta-analysis, sensitivity analysis, and bias analysis.

RESULTS

Eight (8) eligible studies with 1707 patients with HF were included in this analysis. In the Meta-analysis showed significant differences for Self-management (SM) groups in Dutch Heart Failure Knowledge Scale (DHFK) (MD = 1.36, 95%CI [-0.03, 2.75], P = 0.04; I² = 83%), in Self-Care of Heart Failure Index (SCHFI) (MD = 5.51, 95%CI [0.62, 10.40], P = 0.03; I² = 70%), and in Self-Efficacy for Managing Chronic Disease Scale (SEMCDI) (I² = 47%, Z = 5.43, P of over effect < 0.0001) than control groups. One bias is detected as attrition bias, and another one is reporting bias. Sensitivity analysis satisfied the stability of the results.

CONCLUSION

Self-management was associated with significant outcomes in patients with HF through knowledge, attitude, and practice (KAP).

Self-Care Interventions That Reduce Hospital Readmissions in Patients With Heart Failure; Towards the Identification of Change Agents

Unplanned hospital readmissions are the most important, preventable cost in heart failure (HF) health economics. Current professional guidelines recommend that patient self-care is an important means by which to reduce this burden. Patients with HF should be engaged in their care such as by detecting, monitoring, and managing their symptoms. A variety of educational and behavioural interventions have been designed and implemented by health care providers to encourage and support patient self-care. Meta-analyses support the use of self-care interventions to improve patient self-care and reduce hospital readmissions; however, efficacy is variable. The aim of this review was to explore methods to achieve greater clarity and consistency in the development and reporting of self-care interventions to enable ‘change agents’ to be identified. We conclude that advancement in this field requires more explicit integration and reporting on the behaviour change theories that inform the design of self-care interventions and the selection of behaviour change techniques. The systematic application of validated checklists, such as the Theory Coding Scheme and the CALO-RE taxonomy, will improve the systematic testing and refinement of interventions to enable ‘change agent/s’ to be identified and optimised.

The Role of Clinical Psychology and Peer to Peer Support in the Management of Chronic Medical Conditions - A Practical Example With Adults With Congenital Heart Disease

Clinical psychology services and peer to peer support can both contribute in increasing the psychological wellbeing of patients with chronic medical conditions. In this perspective paper, indications are given about the provision these services for the specific case of adults with congenital heart disease. These patients are at an increased risk of psychological distress, neurocognitive deficits, and social challenges. The psychosocial characteristics and mental health treatment preferences of these patients are briefly described, followed by guidelines and indications for the implementation of clinical psychology services. The most structured peer to peer program available for this population is subsequently illustrated and finally, specific benefits and challenges when it comes to the integration of both services are reported.