Activation Versus Change as a Principle Underlying Intervention Strategies to Promote Health Behaviors.

BACKGROUND AND PURPOSE: Interventions are effective in promoting health behavior change to the extent that (a) intervention strategies modify targets (i.e., mechanisms of action), and (b) modifying targets leads to changes in behavior. To complement taxonomies that characterize the variety of strategies used in behavioral interventions, we outline a new principle that specifies how strategies modify targets and thereby promote behavior change. We distinguish two dimensions of targets-value (positive vs. negative) and accessibility (activation level)-and show that intervention strategies operate either by altering the value of what people think, feel, or want (target change) or by heightening the accessibility of behavior-related thoughts, feelings, and goals (target activation). METHODS AND RESULTS: We review strategies designed to promote target activation and find that nudges, cue-reminders, goal priming, the question-behavior effect, and if-then planning are each effective in generating health behavior change, and that their effectiveness accrues from heightened accessibility of relevant targets. We also identify several other strategies that may operate, at least in part, via target activation (e.g., self-monitoring, message framing, anticipated regret inductions, and habits). CONCLUSIONS: The Activation Vs. Change Principle (AVCP) offers a theoretically grounded and parsimonious means of distinguishing among intervention strategies. By focusing on how strategies modify targets, the AVCP can aid interventionists in deciding which intervention strategies to deploy and how to combine different strategies in behavioral trials. We outline a research agenda that could serve to further enhance the design and delivery of interventions to promote target activation.

Emerging approaches to multiple chronic condition assessment.

Older adults experience a higher prevalence of multiple chronic conditions (MCCs). Establishing the presence and pattern of MCCs in individuals or populations is important for healthcare delivery, research, and policy. This report describes four emerging approaches and discusses their potential applications for enhancing assessment, treatment, and policy for the aging population. The National Institutes of Health convened a 2-day panel workshop of experts in 2018. Four emerging models were identified by the panel, including classification and regression tree (CART), qualifying comorbidity sets (QCS), the multimorbidity index (MMI), and the application of omics to network medicine. Future research into models of multiple chronic condition assessment may improve understanding of the epidemiology, diagnosis, and treatment of older persons.

Measuring Multimorbidity: Selecting the Right Instrument for the Purpose and the Data Source.

BACKGROUND: Adults have a higher prevalence of multimorbidity-or having multiple chronic health conditions-than having a single condition in isolation. Researchers, health care providers, and health policymakers find it challenging to decide upon the most appropriate assessment tool from the many available multimorbidity measures. OBJECTIVE: The objective of this study was to describe a broad range of instruments and data sources available to assess multimorbidity and offer guidance about selecting appropriate measures. DESIGN: Instruments were reviewed and guidance developed during a special expert workshop sponsored by the National Institutes of Health on September 25-26, 2018. RESULTS: Workshop participants identified 4 common purposes for multimorbidity measurement as well as the advantages and disadvantages of 5 major data sources: medical records/clinical assessments, administrative claims, public health surveys, patient reports, and electronic health records. Participants surveyed 15 instruments and 2 public health data systems and described characteristics of the measures, validity, and other features that inform tool selection. Guidance on instrument selection includes recommendations to match the purpose of multimorbidity measurement to the measurement approach and instrument, review available data sources, and consider contextual and other related constructs to enhance the overall measurement of multimorbidity. CONCLUSIONS: The accuracy of multimorbidity measurement can be enhanced with appropriate measurement selection, combining data sources and special considerations for fully capturing multimorbidity burden in underrepresented racial/ethnic populations, children, individuals with multiple Adverse Childhood Events and older adults experiencing functional limitations, and other geriatric syndromes. The increased availability of comprehensive electronic health record systems offers new opportunities not available through other data sources.

Health behaviour change in cardiovascular disease prevention and management: meta-review of behaviour change techniques to affect self-regulation.

Self-regulation processes assume a major role in health behaviour theory and are postulated as important mechanisms of action in behavioural interventions to improve health prevention and management. The need to better understand mechanisms of behaviour change interventions for cardiovascular diseases (CVD) called for conducting a meta-review of meta-analyses for interventions targeting self-regulation processes. The protocol, preregistered on Open Science Framework (OSF), found 15 eligible meta-analyses, published between 2006 and August 2019, which quantitatively assessed the role of self-regulatory mechanisms and behaviour change techniques (BCTs). Quality of the meta-analyses varied widely according to AMSTAR-2 criteria. Several BCTs, assumed to engage self-regulatory mechanisms, were unevenly represented in CVD meta-analytic reviews. Self-monitoring, the most frequently studied self-regulatory BCT, seemed to improve health behaviour change and health outcomes but these results merit cautious interpretation. Findings for other self-regulatory BCTs were less promising. No studies in the CVD domain directly tested engagement of self-regulation processes. A general challenge for this area stems from reliance on post-hoc tests of the effects of BCTs in multiple-component interventions. Recent advances in BCT taxonomies and the experimental medicine approach to engaging self-regulation mechanisms, however, provide opportunities to improve CVD prevention and management behavioural interventions.

Cancer Symptom Recognition and Anticipated Delays in Seeking Care Among U.S. Adults.

INTRODUCTION: Early stage diagnosis strongly predicts cancer survival. Recognition of potential symptoms of cancer may improve survival by reducing time to seeking care. METHODS: Telephone interviews with a population-representative sample of English-speaking adults (aged ≥50 years) in the U.S. (N=1,425) were conducted in 2014 using an instrument adapted from the International Cancer Benchmarking Partnership Awareness and Beliefs about Cancer survey. Anticipated time to seeking care for four cancer symptoms (persistent cough, rectal bleeding, mole changes, and breast changes) was assessed, and delay was defined as waiting >2 weeks. Recognition of symptoms as potential cancer signs was assessed dichotomously. Multivariate logistic regression models were used to assess associations between symptom recognition and anticipated delay, adjusting for demographics, cancer experience, self-reported health, and healthcare access. Analyses were weighted and conducted in 2017. RESULTS: Symptom recognition varied but was relatively high across all symptoms (76.9%-95.5%). Anticipated delay varied by symptom and was highest for persistent cough (41.2%) and lowest for rectal bleeding (9.1%). For rectal bleeding (AOR=2.65, 95% CI=1.31, 5.36) and mole changes (AOR=3.30, 95% CI=1.48, 7.33), anticipated delay was more likely among individuals who did not recognize the symptom as a warning sign. Adults with lower education levels (p<0.05) and African Americans (p<0.05) were less likely to delay for some symptoms. CONCLUSIONS: Lack of symptom recognition was associated with anticipated delay in seeking care for some cancer symptoms. Differences in recognition and delays by symptom could be driven partly by screening messaging or by ambiguity and functional impact of each symptom.

Cancer control falls squarely within the province of the psychological sciences.

Against the background of cancer as a contemporary public health challenge, this article presents a selective overview of psychological science contributions to cancer control research, practice, and policy. Initial contributions were circumscribed to awareness campaigns and the assessment of emotional responses to diagnosis and treatment. As evidence linking certain behaviors to cancer risk and outcomes accumulated, psychology emerged as a "hub science" in the Nation's cancer control program. Despite substantial accomplishments, new societal trends further challenge our ability to reduce risk, incidence, and deaths from cancer and enhance quality of life for cancer survivors. Evidence generated from psychological research conducted within each cell of Pasteur's quadrant continues to be relevant and necessary for effective 21st-century approaches to cancer prevention and control at the individual, clinical, and population levels.

When and why people are comparatively optimistic about future health risks: The role of direct and indirect comparison measures.

The goal of the current research was to test whether direct versus indirect measures of comparative optimism yield different results as a function of health risk severity and prevalence. A random-digit sample of community residents (N = 259) responded to interview questions about perceived vulnerability using both direct (i.e. self-to-peer risk) and indirect comparison measures (i.e. separate questions about self and peer risk). Responses to direct comparison measures were more affected by prevalence, whereas indirect comparison measures were more affected by severity. These results may offer guidance to researchers and practitioners about when it may be more appropriate to use direct versus indirect measures of comparative health risk.

Assessment and treatment of depression in patients with cardiovascular disease: National Heart, Lung, and Blood Institute Working Group Report.

OBJECTIVE: The National Heart, Lung, and Blood Institute convened an interdisciplinary working group of experts to develop recommendations for the assessment and treatment of depression in patients with coronary heart disease (CHD). METHOD: Consensus of experts. RESULTS: Our current recommendations are that the Beck Depression Inventory-I be employed for epidemiological studies of depression and CHD, that the Patient Health Questionnaire 2-item version be employed for screening for trial eligibility, that the Depression Interview and Structured Hamilton (DISH) be employed for diagnostic ascertainment for trial inclusion, and that the Hamilton rating scale, which is part of the DISH, be employed for both depression symptom reduction and the remission criterion in any trial. We further recommend that a randomized controlled trial be undertaken to determine whether selective serotonin reuptake inhibitors, psychotherapy, or combined treatment can reduce the risk of CHD events and mortality associated with depression in CHD patients. CONCLUSIONS: This report summarizes the recommendations made by the working group and discusses the rationale for each recommendation, the strengths and weaknesses of alternative approaches to assessment and treatment, and the implications for future research in this area.

Introduction to the special section on the future of health psychology.

Following 25 years of landmark progress, health psychology faces even greater change in the foreseeable future. Evolving patterns of health and illness and developments in medicine and related fields will shape the future of health psychology. The articles in this special section discuss these future issues in several areas: the biopsychosocial model, changes in demographics, prevention, clinical health psychology interventions, health care financing, and new technologies. In every case, the future holds a variety of important challenges and opportunities in research, practice, training, and policy.

Evolution of the biopsychosocial model: prospects and challenges for health psychology.

Although advances have been made in specifying connections between biological, psychological, and social processes, the full potential of the biopsychosocial model for health psychology remains untapped. In this article, 4 areas that need to be addressed to ensure the continued evolution of the biopsychosocial model are identified and a series of recommendations concerning initiatives directed at research, training, practice and intervention, and policy are delineated. These recommendations emphasize the need to better understand and utilize linkages among biological, psychological, social, and macrocultural variables. Activities that facilitate the adoption of a multisystem, multilevel, and multivariate orientation among scientists, practitioners, and policymakers will most effectively lead to the kinds of transdisciplinary contributions envisioned by the biopsychosocial perspective.

Flawed Self-Assessment: Implications for Health, Education, and the Workplace.

Research from numerous corners of psychological inquiry suggests that self-assessments of skill and character are often flawed in substantive and systematic ways. We review empirical findings on the imperfect nature of self-assessment and discuss implications for three real-world domains: health, education, and the workplace. In general, people's self-views hold only a tenuous to modest relationship with their actual behavior and performance. The correlation between self-ratings of skill and actual performance in many domains is moderate to meager-indeed, at times, other people's predictions of a person's outcomes prove more accurate than that person's self-predictions. In addition, people overrate themselves. On average, people say that they are "above average" in skill (a conclusion that defies statistical possibility), overestimate the likelihood that they will engage in desirable behaviors and achieve favorable outcomes, furnish overly optimistic estimates of when they will complete future projects, and reach judgments with too much confidence. Several psychological processes conspire to produce flawed self-assessments. Research focusing on health echoes these findings. People are unrealistically optimistic about their own health risks compared with those of other people. They also overestimate how distinctive their opinions and preferences (e.g., discomfort with alcohol) are among their peers-a misperception that can have a deleterious impact on their health. Unable to anticipate how they would respond to emotion-laden situations, they mispredict the preferences of patients when asked to step in and make treatment decisions for them. Guided by mistaken but seemingly plausible theories of health and disease, people misdiagnose themselves-a phenomenon that can have severe consequences for their health and longevity. Similarly, research in education finds that students' assessments of their performance tend to agree only moderately with those of their teachers and mentors. Students seem largely unable to assess how well or poorly they have comprehended material they have just read. They also tend to be overconfident in newly learned skills, at times because the common educational practice of massed training appears to promote rapid acquisition of skill-as well as self-confidence-but not necessarily the retention of skill. Several interventions, however, can be introduced to prompt students to evaluate their skill and learning more accurately. In the workplace, flawed self-assessments arise all the way up the corporate ladder. Employees tend to overestimate their skill, making it difficult to give meaningful feedback. CEOs also display overconfidence in their judgments, particularly when stepping into new markets or novel projects-for example, proposing acquisitions that hurt, rather then help, the price of their company's stock. We discuss several interventions aimed at circumventing the consequences of such flawed assessments; these include training people to routinely make cognitive repairs correcting for biased self-assessments and requiring people to justify their decisions in front of their peers. The act of self-assessment is an intrinsically difficult task, and we enumerate several obstacles that prevent people from reaching truthful self-impressions. We also propose that researchers and practitioners should recognize self-assessment as a coherent and unified area of study spanning many subdisciplines of psychology and beyond. Finally, we suggest that policymakers and other people who makes real-world assessments should be wary of self-assessments of skill, expertise, and knowledge, and should consider ways of repairing self-assessments that may be flawed.