Design and baseline data from the vanguard of the Comparison of Depression Interventions after Acute Coronary Syndrome (CODIACS) randomized controlled trial

This paper describes the rationale and design of the vanguard for the Comparison of Depression Interventions after Acute Coronary Syndrome (CODIACS), a multicenter, randomized, controlled trial of a patient preference‐based, stepped care protocol for persistent depressive symptoms after acute coronary syndrome (ACS). The overall aim of the vanguard phase was to determine whether the patient-preference, stepped care protocol, which is based on the intervention used in the recent Coronary Psychosocial Evaluation Studies (COPES) trial, was feasible in patients with recent ACS who were recruited from 5 geographically diverse sites. Innovative design features of this trial include randomization to either initial patient-preference of treatment or to a referred care arm in which the primary care provider decided upon care. Additionally, delivery of psychotherapy was accomplished by telephone, or webcam, depending upon patient preference. The vanguard phase provides estimates of eligibility and screening/enrollment ratios, patient acceptance of screening, and retention. In this report, we describe the innovative features and the baseline results of the vanguard phase of CODIACS. The data from this vanguard study will be used to finalize planning for a large, phase III clinical trial designed to evaluate the effect of treatment on depressive symptoms, coronary events, and death

Centralized, Stepped, Patient Preference–Based Treatment for Patients With Post–Acute Coronary Syndrome Depression

IMPORTANCE: Controversy remains about whether depression can be successfully managed after acute coronary syndrome (ACS) and the costs and benefits of doing so. OBJECTIVE: To determine the effects of providing post-ACS depression care on depressive symptoms and health care costs. DESIGN: Multicenter randomized controlled trial. SETTING: Patients were recruited from 2 private and 5 academic ambulatory centers across the United States. PARTICIPANTS: A total of 150 patients with elevated depressive symptoms (Beck Depression Inventory [BDI] score ≥10) 2 to 6 months after an ACS, recruited between March 18, 2010, and January 9, 2012. INTERVENTIONS: Patients were randomized to 6 months of centralized depression care (patient preference for problem-solving treatment given via telephone or the Internet, pharmacotherapy, both, or neither), stepped every 6 to 8 weeks (active treatment group; n = 73), or to locally determined depression care after physician notification about the patient's depressive symptoms (usual care group; n = 77). MAIN OUTCOME MEASURES: Change in depressive symptoms during 6 months and total health care costs. RESULTS: Depressive symptoms decreased significantly more in the active treatment group than in the usual care group (differential change between groups, -3.5 BDI points; 95% CI, -6.1 to -0.7; P = .01). Although mental health care estimated costs were higher for active treatment than for usual care, overall health care estimated costs were not significantly different (difference adjusting for confounding, -$325; 95$2639 to $1989; P = .78). CONCLUSIONS: For patients with post-ACS depression, active treatment had a substantial beneficial effect on depressive symptoms. This kind of depression care is feasible, effective, and may be cost-neutral within 6 months; therefore, it should be tested in a large phase 3 pragmatic trial. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01032018

The selection of comparators for randomized controlled trials of health-related behavioral interventions : recommendations of an NIH expert panel

Funding and logistical support for the expert panel was provided by the National Institutes of Health Office of Behavioral and Social Sciences Research.Peer reviewedPostprin

Medication adherence: A call for action

Poor adherence to efficacious cardiovascular related medications has led to considerable morbidity, mortality, and avoidable health care costs. This paper provides results of a recent think tank meeting in which various stakeholder groups representing key experts from consumers, community health providers, the academic community, decision-making government officials (FDA, NIH, etc), and industry scientists met to evaluate the current status of medication adherence and provide recommendations for improving outcomes. Below, we review the magnitude of the problem of medication adherence, prevalence, impact, and cost. We then summarize proven effective approaches and conclude with a discussion of recommendations to address this growing and significant public health issue of medication non adherence

A qualitative exploration of facilitators and barriers of adherence to time-restricted eating

Time-restricted eating (TRE), a dietary strategy that involves limiting daily energy intake to a window of ≤12 h is appealing for weight management and metabolic health due to its relative simplicity and the ability to consume ad libitum diet during eating windows. Despite the potential utility of TRE for improving health and reducing disease, the feasibility of adherence depends upon a variety of multilevel factors which are largely unexplored. The primary aim of our study was to explore facilitators and barriers of adherence to TRE among community-dwelling individuals. Semi-structured qualitative interviews were conducted among 24 individuals (50% male; M age: 34, range: 18-57; 58% overweight/obese) who currently or formerly practiced TRE. Thematic analysis identified facilitators of and barriers to TRE adherence at multiple levels of influence (i.e., biological, behavioral, psychosocial, environmental). Key facilitators of adherence included improvements in physical health and energy levels, alignment with other aspects of diet, exercise and sleep patterns, self-monitoring and positive psychological impacts, social support, and busy or regular schedules. Key barriers included negative physical health effects, feelings of hunger and sluggishness, difficulty in skipping valued baseline eating routines or inadequate diet quality during the eating window, misalignment of TRE with 24-h activity behaviors, difficulties with self-monitoring, the need to mitigate negative feelings, social situations that discourage TRE, and irregular or idle schedules. Results illustrate that key drivers of adherence differ across individuals and their unique settings and that multiple drivers of behavior should be considered in the successful implementation of TRE. Findings may inform interventions seeking to tailor TRE schedules to fit individuals\u27 diverse behavioral patterns and preferences, thereby optimizing adherence

Predictors of treatment response for depression and inadequate social support--the ENRICHD randomized clinical trial

To determine whether the 'dose' of treatment exposure, delivery of specific components of cognitive behavior therapy (CBT), patient adherence and/or use of antidepressants predict favorable depression and social support outcomes after 6 months of cognitive behavioral treatment. Secondary analyses of the intervention arm of the Enhancing Recovery in Coronary Heart Disease (ENRICHD) clinical trial involving persons with acute myocardial infarction (MI): n = 641 for the depression outcomes and n = 523 for the social support outcomes. The outcome measures were, for depression: the Beck Depression Inventory (BDI) and Hamilton Rating Scale for Depression (HAM-D); for social support: the ENRICHD Social Support Instrument (ESSI) and Perceived Social Support Scale (PSSS). Better depression outcomes (measured by the BDI) were receiving a high number of depression-specific intervention components, p < 0.01, and completing a high proportion of homework assignments, p < 0.02. Better depression outcomes (measured by the HAM-D) were receiving a high number of the social communication and assertiveness components of the intervention, p < 0.01, and completing a high proportion of homework assignments, p < 0.01. Better social support outcomes (measured by the ESSI and PSSS) were predicted by membership in a racial or ethnic minority group, p < 0.02 and p < 0.01, respectively; and by completing a higher number of homework assignments, p < 0.01 and p < 0.05, respectively. Delivery of the social communication and assertiveness components of the intervention was an independent predictor of a worse social support outcome, p < 0.01 (measured by the PSSS). The standard components of CBT for depression are useful in treating comorbid depression in post-MI patients. Working on communication skills may help to improve depression but not necessarily social support outcomes in this patient population, while adherence to cognitive-behavioral homework assignments is important for both outcomes. Other components of the ENRICHD intervention that were designed to improve social support had no discernible effects on outcomes. Intervention refinements may be needed in order to achieve better results in future post-MI clinical trials. A greater emphasis on CBT homework adherence could improve both depression and social support outcomes

Overview of the obesity intervention taxonomy and pooled analysis working group.

The National Heart, Lung, and Blood Institute and the National Institutes of Health Office of Disease Prevention convened a meeting on August 29-30, 2013 entitled "Obesity Intervention Taxonomy and Pooled Analysis." The overarching goals of the meeting were to understand how to decompose interventions targeting behavior change, and in particular, those that focus on obesity and to combine data from groups of related intervention studies to supplement what can be learned from the individual studies. This paper summarizes the workshop recommendations and provides an overview of the two other papers that originated from the workshop and that address decomposition of behavioral change interventions and pooling of data across diverse studies within a consortium

Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Psychosocial Domain.

BackgroundWithin the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project, the psychosocial domain addresses how psychosocial processes underlie the influence of obesity treatment strategies on weight loss and weight maintenance. The subgroup for the psychosocial domain identified an initial list of high-priority constructs and measures that ranged from relatively stable characteristics about the person (cognitive function, personality) to dynamic characteristics that may change over time (motivation, affect).ObjectivesThis paper describes (a) how the psychosocial domain fits into the broader model of weight loss and weight maintenance as conceptualized by ADOPT; (b) the guiding principles used to select constructs and measures for recommendation; (c) the high-priority constructs recommended for inclusion; (d) domain-specific issues for advancing the science; and (e) recommendations for future research.SignificanceThe inclusion of similar measures across trials will help to better identify how psychosocial factors mediate and moderate the weight loss and weight maintenance process, facilitate research into dynamic interactions with factors in the other ADOPT domains, and ultimately improve the design and delivery of effective interventions