Psychological interventions for depression and anxiety in patients with coronary heart disease, heart failure or atrial fibrillation.

BACKGROUND: Depression and anxiety occur frequently (with reported prevalence rates of around 40%) in individuals with coronary heart disease (CHD), heart failure (HF) or atrial fibrillation (AF) and are associated with a poor prognosis, such as decreased health-related quality of life (HRQoL), and increased morbidity and mortality. Psychological interventions are developed and delivered by psychologists or specifically trained healthcare workers and commonly include cognitive behavioural therapies and mindfulness-based stress reduction. They have been shown to reduce depression and anxiety in the general population, though the exact mechanism of action is not well understood. Further, their effects on psychological and clinical outcomes in patients with CHD, HF or AF are unclear. OBJECTIVES: To assess the effects of psychological interventions (alone, or with cardiac rehabilitation or pharmacotherapy, or both) in adults who have a diagnosis of CHD, HF or AF, compared to no psychological intervention, on psychological and clinical outcomes. SEARCH METHODS: We searched the CENTRAL, MEDLINE, Embase, PsycINFO and CINAHL databases from 2009 to July 2022. We also searched three clinical trials registers in September 2020, and checked the reference lists of included studies. No language restrictions were applied. SELECTION CRITERIA: We included randomised controlled trials (RCTs) comparing psychological interventions with no psychological intervention for a minimum of six months follow-up in adults aged over 18 years with a clinical diagnosis of CHD, HF or AF, with or without depression or anxiety. Studies had to report on either depression or anxiety or both. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. Our primary outcomes were depression and anxiety, and our secondary outcomes of interest were HRQoL mental and physical components, all-cause mortality and major adverse cardiovascular events (MACE). We used GRADE to assess the certainty of evidence for each outcome. MAIN RESULTS: Twenty-one studies (2591 participants) met our inclusion criteria. Sixteen studies included people with CHD, five with HF and none with AF. Study sample sizes ranged from 29 to 430. Twenty and 17 studies reported the primary outcomes of depression and anxiety, respectively. Despite the high heterogeneity and variation, we decided to pool the studies using a random-effects model, recognising that the model does not eliminate heterogeneity and findings should be interpreted cautiously. We found that psychological interventions probably have a moderate effect on reducing depression (standardised mean difference (SMD) -0.36, 95% confidence interval (CI) -0.65 to -0.06; 20 studies, 2531 participants; moderate-certainty evidence) and anxiety (SMD -0.57, 95% CI -0.96 to -0.18; 17 studies, 2235 participants; moderate-certainty evidence), compared to no psychological intervention. Psychological interventions may have little to no effect on HRQoL physical component summary scores (PCS) (SMD 0.48, 95% CI -0.02 to 0.98; 12 studies, 1454 participants; low-certainty evidence), but may have a moderate effect on improving HRQoL mental component summary scores (MCS) (SMD 0.63, 95% CI 0.01 to 1.26; 12 studies, 1454 participants; low-certainty evidence), compared to no psychological intervention. Psychological interventions probably have little to no effect on all-cause mortality (risk ratio (RR) 0.81, 95% CI 0.39 to 1.69; 3 studies, 615 participants; moderate-certainty evidence) and may have little to no effect on MACE (RR 1.22, 95% CI 0.77 to 1.92; 4 studies, 450 participants; low-certainty evidence), compared to no psychological intervention. AUTHORS' CONCLUSIONS: Current evidence suggests that psychological interventions for depression and anxiety probably result in a moderate reduction in depression and anxiety and may result in a moderate improvement in HRQoL MCS, compared to no intervention. However, they may have little to no effect on HRQoL PCS and MACE, and probably do not reduce mortality (all-cause) in adults who have a diagnosis of CHD or HF, compared with no psychological intervention. There was moderate to substantial heterogeneity identified across studies. Thus, evidence of treatment effects on these outcomes warrants careful interpretation. As there were no studies of psychological interventions for patients with AF included in our review, this is a gap that needs to be addressed in future studies, particularly in view of the rapid growth of research on management of AF. Studies investigating cost-effectiveness, return to work and cardiovascular morbidity (revascularisation) are also needed to better understand the benefits of psychological interventions in populations with heart disease.

A novel method for assessing design fidelity in web-based behavioral interventions.

OBJECTIVE: Delivery is one of the most common ways of assessing fidelity in behavioral interventions. However, there is a lack of research reporting on how well an intervention protocol reflects its proposed theoretical principles (design fidelity). This study presents a systematic method for assessing design fidelity and applies it to the eMotion web-based intervention targeting physical activity and depression. METHOD: The eMotion intervention comprises of 13 web-based modules, designed according to an underlying intervention map. An independent rater with expertise in behavior change coded the presence or absence of behavior change techniques (BCTs) in the content of eMotion. Results of coding were compared to the intervention designers' a priori specification for interrater reliability. RESULTS: After discussion, the independent rater and the intervention designer had a high agreement for the presence of BCTs relating to behavioral activation (AC1 = 0.91) with "demonstration of behavior" and "monitoring of emotional consequences" having the lowest agreement (AC1 < 0.4). There was also high agreement for the presence of BCTs targeting physical activity (AC1 = 0.88) with "demonstration of behavior" and "monitoring of emotional consequences" having the lowest agreement (AC1 < 0.4). The eMotion description was then amended to align the interrater agreement. CONCLUSIONS: This study presents a novel method for assessing design fidelity. Developers of behavioral (and other multicomponent) interventions are encouraged to develop and refine this method and assess design fidelity in future interventions to ensure BCTs are operationalized as intended. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Motivational interviewing for smoking cessation.

BACKGROUND: Motivational Interviewing (MI) is a directive patient-centred style of counselling, designed to help people to explore and resolve ambivalence about behaviour change. It was developed as a treatment for alcohol abuse, but may help people to a make a successful attempt to stop smoking. OBJECTIVES: To evaluate the efficacy of MI for smoking cessation compared with no treatment, in addition to another form of smoking cessation treatment, and compared with other types of smoking cessation treatment. We also investigated whether more intensive MI is more effective than less intensive MI for smoking cessation. SEARCH METHODS: We searched the Cochrane Tobacco Addiction Group Specialised Register for studies using the term motivat* NEAR2 (interview* OR enhanc* OR session* OR counsel* OR practi* OR behav*) in the title or abstract, or motivation* as a keyword. We also searched trial registries to identify unpublished studies. Date of the most recent search: August 2018. SELECTION CRITERIA: Randomised controlled trials in which MI or its variants were offered to smokers to assist smoking cessation. We excluded trials that did not assess cessation as an outcome, with follow-up less than six months, and with additional non-MI intervention components not matched between arms. We excluded trials in pregnant women as these are covered elsewhere. DATA COLLECTION AND ANALYSIS: We followed standard Cochrane methods. Smoking cessation was measured after at least six months, using the most rigorous definition available, on an intention-to-treat basis. We calculated risk ratios (RR) and 95% confidence intervals (CI) for smoking cessation for each study, where possible. We grouped eligible studies according to the type of comparison. We carried out meta-analyses where appropriate, using Mantel-Haenszel random-effects models. We extracted data on mental health outcomes and quality of life and summarised these narratively. MAIN RESULTS: We identified 37 eligible studies involving over 15,000 participants who smoked tobacco. The majority of studies recruited participants with particular characteristics, often from groups of people who are less likely to seek support to stop smoking than the general population. Although a few studies recruited participants who intended to stop smoking soon or had no intentions to quit, most recruited a population without regard to their intention to quit. MI was conducted in one to 12 sessions, with the total duration of MI ranging from five to 315 minutes across studies. We judged four of the 37 studies to be at low risk of bias, and 11 to be at high risk, but restricting the analysis only to those studies at low or unclear risk did not significantly alter results, apart from in one case - our analysis comparing higher to lower intensity MI.We found low-certainty evidence, limited by risk of bias and imprecision, comparing the effect of MI to no treatment for smoking cessation (RR = 0.84, 95% CI 0.63 to 1.12; I2 = 0%; adjusted N = 684). One study was excluded from this analysis as the participants recruited (incarcerated men) were not comparable to the other participants included in the analysis, resulting in substantial statistical heterogeneity when all studies were pooled (I2 = 87%). Enhancing existing smoking cessation support with additional MI, compared with existing support alone, gave an RR of 1.07 (95% CI 0.85 to 1.36; adjusted N = 4167; I2 = 47%), and MI compared with other forms of smoking cessation support gave an RR of 1.24 (95% CI 0.91 to 1.69; I2 = 54%; N = 5192). We judged both of these estimates to be of low certainty due to heterogeneity and imprecision. Low-certainty evidence detected a benefit of higher intensity MI when compared with lower intensity MI (RR 1.23, 95% CI 1.11 to 1.37; adjusted N = 5620; I2 = 0%). The evidence was limited because three of the five studies in this comparison were at risk of bias. Excluding them gave an RR of 1.00 (95% CI 0.65 to 1.54; I2 = n/a; N = 482), changing the interpretation of the results.Mental health and quality of life outcomes were reported in only one study, providing little evidence on whether MI improves mental well-being. AUTHORS' CONCLUSIONS: There is insufficient evidence to show whether or not MI helps people to stop smoking compared with no intervention, as an addition to other types of behavioural support for smoking cessation, or compared with other types of behavioural support for smoking cessation. It is also unclear whether more intensive MI is more effective than less intensive MI. All estimates of treatment effect were of low certainty because of concerns about bias in the trials, imprecision and inconsistency. Consequently, future trials are likely to change these conclusions. There is almost no evidence on whether MI for smoking cessation improves mental well-being.

Multicentred randomised controlled trial of an augmented exercise referral scheme using web-based behavioural support in individuals with metabolic, musculoskeletal and mental health conditions: protocol for the e-coachER trial.

INTRODUCTION: Physical activity is recommended for improving health among people with common chronic conditions such as obesity, diabetes, hypertension, osteoarthritis and low mood. One approach to promote physical activity is via primary care exercise referral schemes (ERS). However, there is limited support for the effectiveness of ERS for increasing long-term physical activity and additional interventions are needed to help patients overcome barriers to ERS uptake and adherence.This study aims to determine whether augmenting usual ERS with web-based behavioural support, based on the LifeGuide platform, will increase long-term physical activity for patients with chronic physical and mental health conditions, and is cost-effective. METHODS AND ANALYSIS: A multicentre parallel two-group randomised controlled trial with 1:1 individual allocation to usual ERS alone (control) or usual ERS plus web-based behavioural support (intervention) with parallel economic and mixed methods process evaluations. Participants are low active adults with obesity, diabetes, hypertension, osteoarthritis or a history of depression, referred to an ERS from primary care in the UK.The primary outcome measure is the number of minutes of moderate-to-vigorous physical activity (MVPA) in ≥10 min bouts measured by accelerometer over 1 week at 12 months.We plan to recruit 413 participants, with 88% power at a two-sided alpha of 5%, assuming 20% attrition, to demonstrate a between-group difference of 36-39 min of MVPA per week at 12 months. An improvement of this magnitude represents an important change in physical activity, particularly for inactive participants with chronic conditions. ETHICS AND DISSEMINATION: Approved by North West Preston NHS Research Ethics Committee (15/NW/0347). Dissemination will include publication of findings for the stated outcomes, parallel process evaluation and economic evaluation in peer-reviewed journals.Results will be disseminated to ERS services, primary healthcare providers and trial participants. TRIAL REGISTRATION NUMBER: ISRCTN15644451; Pre-results.

Web-Based Intervention Using Behavioral Activation and Physical Activity for Adults With Depression (The eMotion Study): Pilot Randomized Controlled Trial.

BACKGROUND: Physical activity is a potentially effective treatment for depression and depressive relapse. However, promoting physical activity in people with depression is challenging. Interventions informed by theory and evidence are therefore needed to support people with depression to become more physically active. eMotion is a Web-based intervention combining behavioral activation and physical activity promotion for people in the community with symptoms of depression. OBJECTIVE: The objectives were to assess the feasibility and acceptability of delivering eMotion to people in the community with symptoms of depression and to explore outcomes. METHODS: Participants with elevated depressive symptoms were recruited from the community through various methods (eg, social media) and randomized to eMotion or a waiting list control group for 8 weeks. eMotion is an administratively supported weekly modular program that helps people use key behavior change techniques (eg, graded tasks, action planning, and self-monitoring) to re-engage in routine, pleasurable, and necessary activities, with a focus on physical activities. Feasibility data were collected that included the following: recruitment and trial retention rates; fidelity of intervention delivery, receipt, and enactment; and acceptability of the intervention and data collection procedures. Data were collected for the primary (depression) and secondary outcomes (eg, anxiety, physical activity, fidelity, and client satisfaction) at baseline and 2 months postrandomization using self-reported Web-based questionnaires and accelerometers. Delivery fidelity (logins, modules accessed, time spent) was tracked using Web usage statistics. Exploratory analyses were conducted on the primary and secondary outcomes. RESULTS: Of the 183 people who contacted the research team, 62 were recruited and randomized. The mean baseline score was 14.6 (SD 3.2) on the 8-item Patient Health Questionnaire depression scale (PHQ-8). Of those randomized, 52 participants provided accelerometer-recorded physical activity data at baseline that showed a median of 35.8 (interquartile range [IQR] 0.0-98.6) minutes of moderate-to-vigorous physical activity (MVPA) recorded in at least 10-minute bouts per week, with only 13% (7/52) people achieving guideline levels (150 minutes of MVPA per week). In total, 81% (50/62) of participants provided follow-up data for the primary outcome (PHQ-8), but only 39% (24/62) provided follow-up accelerometer data. Within the intervention group, the median number of logins, modules accessed, and total minutes spent on eMotion was 3 (IQR 2.0-8.0), 3 (IQR 2.0-5.0), and 41.3 (IQR 18.9-90.4), respectively. Acceptability was mixed. Exploratory data analysis showed that PHQ-8 levels were lower for the intervention group than for the control group at 2 months postrandomization (adjusted mean difference -3.6, 95% CI -6.1 to -1.1). CONCLUSIONS: It was feasible to deliver eMotion in UK communities to inactive populations. eMotion has the potential to be effective and is ready for testing in a full-scale trial. Further work is needed to improve engagement with both the intervention and data collection procedures. TRIAL REGISTRATION: ClinicalTrials.gov NCT03084055; https://clinicaltrials.gov/ct2/show/NCT03084055 (Archived by WebCite at http://www.webcitation.org/6zoyM8UXa).

Intervention delivery fidelity assessment of a counseling-based intervention for promoting smoking reduction and increasing physical activity.

OBJECTIVE: The aims of this study were to (1) develop an approach to assess the delivery fidelity of a complex intervention to simultaneously increase physical activity and reduce smoking and (2) use this approach to assess the variation of fidelity across the delivery of different intervention components of the intervention. METHOD: Audio recorded and transcribed sessions (90 in total) involving 30 participants and 3 health trainers delivering a one-to-one intervention were purposively sampled across health trainer (HT) and stage of treatment. The Dreyfus system for skill acquisition informed a scoring system based on 12 intervention processes and applied by three experts in health behavior change. Scores ranged from 0 to 2 (poor quality), 3 to 4 (reasonable quality), and 5 to 6 (expert level quality). Scores were averaged across coders and presented in relation to fidelity of both HT and the intervention component. RESULTS: The methods were successfully applied with recommendations for future application. Average scores for each item by each coder differed by up to +0.7 to -0.9 points indicating reasonable agreement. Mean scores for the three HTs were 2.9, 2.2, and 2.4, across all 12 intervention processes. The delivery of all intervention components for physical activity was scored lower (<3) than their respective counterparts for smoking reduction (>3; p < .001). CONCLUSIONS: Novel methods for assessing delivery fidelity were successfully applied and areas for improvement identified. Delivery fidelity was deemed to be of reasonable quality but was higher for smoking related intervention components over physical activity ones. (PsycINFO Database Record

Exercise-based cardiac rehabilitation improves exercise capacity and health-related quality of life in people with atrial fibrillation: a systematic review and meta-analysis of randomised and non-randomised trials.

Objective: The aim of this study was to undertake a contemporary review of the impact of exercise-based cardiac rehabilitation (CR) targeted at patients with atrial fibrillation (AF). Methods: We conducted searches of PubMED, EMBASE and the Cochrane Library of Controlled Trials (up until 30 November 2017) using key terms related to exercise-based CR and AF. Randomised and non-randomised controlled trials were included if they compared the effects of an exercise-based CR intervention to a no exercise or usual care control group. Meta-analyses of outcomes were conducted where appropriate. Results: The nine randomised trials included 959 (483 exercise-based CR vs 476 controls) patients with various types of AF. Compared with control, pooled analysis showed no difference in all-cause mortality (risk ratio (RR) 1.08, 95% CI 0.77 to 1.53, p=0.64) following exercise-based CR. However, there were improvements in health-related quality of life (mean SF-36 mental component score (MCS): 4.00, 95% CI 0.26 to 7.74; p=0.04 and mean SF-36 physical component score: 1.82, 95% CI 0.06 to 3.59; p=0.04) and exercise capacity (mean peak VO2: 1.59 ml/kg/min, 95% CI 0.11 to 3.08; p=0.04; mean 6 min walk test: 46.9 m, 95% CI 26.4 to 67.4; p<0.001) with exercise-based CR. Improvements were also seen in AF symptom burden and markers of cardiac function. Conclusions: Exercise capacity, cardiac function, symptom burden and health-related quality of life were improved with exercise-based CR in the short term (up to 6 months) targeted at patients with AF. However, high-quality multicentre randomised trials are needed to clarify the impact of exercise-based CR on key patient and health system outcomes (including health-related quality of life, mortality, hospitalisation and costs) and how these effects may vary across AF subtypes.

Assessment of fidelity in individual level behaviour change interventions promoting physical activity among adults: a systematic review.

BACKGROUND: Behaviour change interventions that promote physical activity have major implications for health and well-being. Measuring intervention fidelity is crucial in determining the extent to which an intervention is delivered as intended, therefore increasing scientific confidence about effectiveness. However, we lack a clear overview of how well intervention fidelity is typically assessed in physical activity trials. METHODS: A systematic literature search was conducted to identify peer - reviewed physical activity promotion trials that explicitly measured intervention fidelity. Methods used to assess intervention fidelity were categorised, narratively synthesised and critiqued using assessment criteria from NIH Behaviour Change Consortium (BCC) Treatment Fidelity Framework (design, training, delivery, receipt and enactment). RESULTS: Twenty eight articles reporting of twenty one studies used a wide variety of approaches to measure intervention fidelity. Delivery was the most common domain of intervention fidelity measured. Approaches used to measure fidelity across all domains varied from researcher coding of observational data (using checklists or scales) to participant self-report measures. There was considerable heterogeneity of methodological approaches to data collection with respect to instruments used, attention to psychometric properties, rater-selection, observational method and sampling strategies. CONCLUSIONS: In the field of physical activity interventions, fidelity measurement is highly heterogeneous both conceptually and methodologically. Clearer articulation of the core domains of intervention fidelity, along with appropriate measurement approaches for each domain are needed to improve the methodological quality of fidelity assessment in physical activity interventions. Recommendations are provided on how this situation can be improved.