Annual Review of Clinical Psychology - Volume 9, 2013

Enormous progress in the field of clinical science has been made over the past 50 years, with advances in our understanding of psychopathology and more sophisticated research methodology leading to the development of more efficacious psychological treatments for a variety of behavioral disorders. Despite these advances, the public health impact of well-established psychological treatments is less than it should be. After an overview of the current status of the field, we identify barriers that must be overcome to maximize the public health impact and propose that to breach these barriers we must (a) augment the efficacy of treatments, (b) broaden the impact of treatments across diagnoses to include temperamental variables, (c) attend more closely to mechanisms of action of treatments, and (d) learn the best methods for disseminating and implementing psychological interventions. We conclude by proposing new directions in both research and clinical practice to accomplish these goals.

According to the idea that addiction is a chronic relapsing disease, remission is at most a temporary state. Either addicts never stop using drugs, or if they do stop, remission is short lived. However, research on remission reveals a more complex picture. In national epidemiological surveys that recruited representative drug users, remission rates varied widely and were markedly different for legal and illegal drugs and for different racial/ethnic groups. For instance, the half-life for cocaine dependence was four years, but for alcohol dependence it was 16 years, and although most dependent cocaine users remitted before age 30, about 5% remained heavy cocaine users well into their forties. Although varied, the remission results were orderly. An exponential growth curve closely approximated the cumulative frequency of remitting for different drugs and different ethnic/racial groups. Thus, each year a constant proportion of those still addicted remitted, independent of the number of years since the onset of dependence.

Integrative data analysis (IDA), a novel framework for conducting the simultaneous analysis of raw data pooled from multiple studies, offers many advantages including economy (i.e., reuse of extant data), power (i.e., large combined sample sizes), the potential to address new questions not answerable by a single contributing study (e.g., combining longitudinal studies to cover a broader swath of the lifespan), and the opportunity to build a more cumulative science (i.e., examining the similarity of effects across studies and potential reasons for dissimilarities). There are also methodological challenges associated with IDA, including the need to account for sampling heterogeneity across studies, to develop commensurate measures across studies, and to account for multiple sources of study differences as they impact hypothesis testing. In this review, we outline potential solutions to these challenges and describe future avenues for developing IDA as a framework for studies in clinical psychology.

In network approaches to psychopathology, disorders result from the causal interplay between symptoms (e.g., worry → insomnia → fatigue), possibly involving feedback loops (e.g., a person may engage in substance abuse to forget the problems that arose due to substance abuse). The present review examines methodologies suited to identify such symptom networks and discusses network analysis techniques that may be used to extract clinically and scientifically useful information from such networks (e.g., which symptom is most central in a person's network). The authors also show how network analysis techniques may be used to construct simulation models that mimic symptom dynamics. Network approaches naturally explain the limited success of traditional research strategies, which are typically based on the idea that symptoms are manifestations of some common underlying factor, while offering promising methodological alternatives. In addition, these techniques may offer possibilities to guide and evaluate therapeutic interventions.

Researchers use multiple informants' reports to assess and examine behavior. However, informants' reports commonly disagree. Informants' reports often disagree in their perceived levels of a behavior (“low” versus “elevated” mood), and examining multiple reports in a single study often results in inconsistent findings. Although researchers often espouse taking a multi-informant assessment approach, they frequently address informant discrepancies using techniques that treat discrepancies as measurement error. Yet, recent work indicates that researchers in a variety of fields often may be unable to justify treating informant discrepancies as measurement error. In this review, the authors advance a framework (Operations Triad Model) outlining general principles for using and interpreting informants' reports. Using the framework, researchers can test whether or not they can extract meaningful information about behavior from discrepancies among multiple informants' reports. The authors provide supportive evidence for this framework and discuss its implications for hypothesis testing, study design, and quantitative review.

Ambulatory assessment (AA) covers a wide range of assessment methods to study people in their natural environment, including self-report, observational, and biological/physiological/behavioral. AA methods minimize retrospective biases while gathering ecologically valid data from patients' everyday life in real time or near real time. Here, we report on the major characteristics of AA, and we provide examples of applications of AA in clinical psychology (a) to investigate mechanisms and dynamics of symptoms, (b) to predict the future recurrence or onset of symptoms, (c) to monitor treatment effects, (d) to predict treatment success, (e) to prevent relapse, and (f) as interventions. In addition, we present and discuss the most pressing and compelling future AA applications: technological developments (the smartphone), improved ecological validity of laboratory results by combined lab-field studies, and investigating gene-environment interactions. We conclude with a discussion of acceptability, compliance, privacy, and ethical issues.

Endophenotypes for psychopathology have been conceived as latent, unobserved, but measureable manifestations of phenomena that causally connect genetic liability to clinical disorder. Several decades of research have led to refinement of the construct and identification of some candidate endophenotypes, but rather limited progress on finding the genes involved or the mechanisms by which endophenotypes are driven by genetic and environmental factors and in turn drive psychopathology. Currently promising avenues for research involve development of transdiagnostic concepts not limited to traditional diagnostic categories, measures of endophenotypic and manifest psychopathology that have higher validity than those categories, and methods for modeling complex relationships among diverse contributors to etiology. With more grounding in animal neuroscience and other aspects of basic biological and psychological science, exemplified in the Research Domain Criteria initiative, there is every reason to anticipate that the endophenotype concept will grow more central in the psychopathology literature.

Exposure-based treatments for clinical anxiety generally are very effective, but relapse is not uncommon. Likewise, laboratory studies have shown that conditioned fears are easy to extinguish, but they recover easily. This analogy is striking, and numerous fear extinction studies have been published that highlight the processes responsible for the extinction and return of acquired fears. This review examines and integrates the most important results from animal and human work. Overall, the results suggest that fear extinction is relatively easy to “learn” but difficult to “remember.” It follows that treatments will benefit from an enhanced focus on the long-term retrieval of fear extinction. We review the available studies on the prevention of return of fear and the prospects of weakening fear memories forever. We show that the behavioral principles outlined in learning theory provide a continuous inspiration for preclinical (neurobiological) and clinical research on the extinction and return of fear.

Research on social anxiety and social anxiety disorder has proliferated over the years since the explication of the disorder through cognitive-behavioral models. This review highlights a recently updated model from our group and details recent research stemming from the (a) information processing perspective, including attention bias, interpretation bias, implicit associations, imagery and visual memories, and (b) emotion regulation perspective, including positive emotionality and anger. In addition, we review recent studies exploring the roles of self-focused attention, safety behaviors, and post-event processing in the maintenance of social anxiety. Within each area, we detail the ways in which these topics have implications for the treatment of social anxiety and for future research. Finally, we conclude with a discussion of how several of the areas reviewed contribute to our model of social anxiety disorder.

Generalized anxiety disorder (GAD) is associated with substantial personal and societal cost yet is the least successfully treated of the anxiety disorders. In this review, research on clinical features, boundary issues, and naturalistic course, as well as risk factors and maintaining mechanisms (cognitive, biological, neural, interpersonal, and developmental), are presented. A synthesis of these data points to a central role of emotional hyperreactivity, sensitivity to contrasting emotions, and dysfunctional attempts to cope with strong emotional shifts via worry. Consistent with the Contrast Avoidance model, evidence shows that worry evokes and sustains negative affect, thereby precluding sharp increases in negative emotion. We also review current treatment paradigms and suggest how the Contrast Avoidance model may help to target key fears and avoidance tendencies that serve to maintain pathology in GAD.

The rationale, research literature, and proposed changes to the dissociative disorders and conversion disorder in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) are presented. Dissociative identity disorder will include reference to possession as well as identity fragmentation, to make the disorder more applicable to culturally diverse situations. Dissociative amnesia will include dissociative fugue as a subtype, since fugue is a rare disorder that always involves amnesia but does not always include confused wandering or loss of personality identity. Depersonalization disorder will include derealization as well, since the two often co-occur. A dissociative subtype of posttraumatic stress disorder (PTSD), defined by the presence of depersonalization or derealization in addition to other PTSD symptoms, is being recommended, based upon new epidemiological and neuroimaging evidence linking it to an early life history of adversity and a combination of frontal activation and limbic inhibition. Conversion disorder (functional neurological symptom disorder) will likely remain with the somatic symptom disorders, despite considerable dissociative comorbidity.

During the past two decades, research in the field of depression and cardiovascular disorders has exploded. Multiple studies have demonstrated that depression is more prevalent in populations with cardiovascular disease, is a robust risk factor for the development of cardiovascular disease in healthy populations, and is predictive of adverse outcomes (such as myocardial infarction and death) among populations with preexisting cardiovascular disease. Mechanistic studies have shown that poor health behaviors, such as physical inactivity, medication nonadherence, and smoking, strongly contribute to this association. Small randomized trials have found that antidepressant therapies may improve cardiac outcomes. Based on this accumulating evidence, the American Heart Association has recommended routine screening for depression in all patients with coronary heart disease. This review examines the key epidemiological literature on depression and cardiovascular disorders and discusses our current understanding of the mechanisms responsible for this association. We also examine current recommendations for screening, diagnosis, and management of depression. We conclude by highlighting new research areas and discussing therapeutic management of depression in patients with cardiovascular disorders.

Humans have an intrinsic need for social connection; thus, it is crucial to understand depression in an interpersonal context. Interpersonal theories of depression posit that depressed individuals tend to interact with others in a way that elicits rejection, which increases their risk for future depression. In this review, we summarize the interpersonal characteristics, risk factors, and consequences of depression in the context of the relevant theories that address the role of interpersonal processes in the onset, maintenance, and chronicity of depression. Topics reviewed include social skills, behavioral features, communication behaviors, interpersonal feedback seeking, and interpersonal styles as they relate to depression. Treatment implications are discussed in light of the current research on interpersonal processes in depression, and the following future directions are discussed: developing integrative models of depression, improving measurement of interpersonal constructs, examining the association between interpersonal processes in depression and suicide, and tailoring interventions to target interpersonal processes in depression.

Postpartum depression (PPD) is a common and serious mental health problem that is associated with maternal suffering and numerous negative consequences for offspring. The first six months after delivery may represent a high-risk time for depression. Estimates of prevalence range from 13% to 19%. Risk factors mirror those typically found with major depression, with the exception of postpartum-specific factors such as sensitivity to hormone changes. Controlled trials of psychological interventions have validated a variety of individual and group interventions. Medication often leads to depression improvement, but in controlled trials there are often no significant differences in outcomes between patients in the medication condition and those in placebo or active control conditions. Reviews converge on recommendations for particular antidepressant medications for use while breastfeeding. Prevention of PPD appears to be feasible and effective. Finally, there is a growing movement to integrate mental health screening into routine primary care for pregnant and postpartum women and to follow up this screening with treatment or referral and with follow-up care. Research and clinical recommendations are made throughout this review.

Translational research on emotion in schizophrenia has revealed deficits in emotion perception and expression, as well as intact areas, including emotional experience and brain activation in the presence of emotionally evocative material. Yet, a closer look at emotional experience reveals that all is not well in the experience domain. People with schizophrenia have difficulty anticipating emotional events and maintaining or savoring their emotional experiences, as evidenced in behavioral, psychophysiological, and brain imaging studies. Furthermore, people with schizophrenia have difficulty integrating emotion perception with context and reporting on feelings that are differently valenced than presented emotional stimuli. Differences in brain activation are typically observed in areas tightly coupled with cognitive control, such as the dorsolateral prefrontal cortex, and thus the latest research on emotion in schizophrenia explicitly integrates emotion and cognition. Translational research holds promise to identify when in the course of the disorder emotion deficits emerge and to develop more effective interventions for schizophrenia.

Several important paradigm shifts have occurred in the field of schizophrenia treatment, including an increased focus on early detection, the development of preemptive interventions, and the view of schizophrenia as a neurodevelopmental disease characterized by decreased efficiency and abnormal connectivity in cortical and subcortical neural networks. In this review, we briefly describe some of the neural impairments that contribute to the development of schizophrenia, with an emphasis on the impact of stress and trauma on cognitively vulnerable neural systems. We then present current data on two behavioral interventions that target these critical risk factors and that aim to preempt the onset of schizophrenia in vulnerable individuals or improve the clinical course in recent-onset schizophrenia: cognitive therapy and computerized cognitive training.

The current state of the literature regarding psychosocial treatments for schizophrenia is reviewed within the frameworks of the recovery model of mental health and the expanded stress-vulnerability model. Interventions targeting specific domains of functioning, age groups, stages of illness, and human service system gaps are classified as evidence-based practices or promising practices according to the extent to which their efficacy is currently supported by meta-analyses and individual randomized controlled trials (RCTs). Evidence-based practices include assertive community treatment (ACT), cognitive behavior therapy (CBT) for psychosis, cognitive remediation, family psychoeducation, illness self-management training, social skills training, and supported employment. Promising practices include cognitive adaptive therapy, CBT for posttraumatic stress disorder, first-episode psychosis intervention, healthy lifestyle interventions, integrated treatment for co-occurring disorders, interventions targeting older individuals, peer support services, physical disease management, prodromal stage intervention, social cognition training, supported education, and supported housing. Implications and future directions are discussed.

Stability is thought to be one of the major distinguishing features between personality disorders (PDs) and other forms of psychopathology. The development of more reliable PD assessments and the implementation of four major longitudinal studies on PD stability have provided critical data with which to evaluate the stability of PD features. Results from these and other studies reveal significant complexity in the interpretation of PD stability because of several issues that can impact stability estimates. Such estimates will vary as a function of the type of constructs being assessed, the type of stability being considered, the modality and reliability of the assessments being used, and the impacts of sampling. In this article, longitudinal research on PD stability is reviewed in the context of these issues. It is concluded that no single answer can be given to the question, “How stable are PDs?” and that future research and classification need to consider carefully and account for the complexity of this question.