Research and Practice in Quality Improvement and Implementation Science: The Synergy for Change Model.

BACKGROUND: Nurses play an essential role in the achievement of quality depicted by the Quintuple Aim to improve clinical outcomes, patient experience, equity, provider well-being, and reduction of costs. When quality gaps occur, practice change is required and is facilitated by quality improvement (QI) and implementation science (IS) methods. QI and IS research are required to advance our understanding of the mechanisms that explain how evidence is implemented and improvements are made. PROBLEM: Despite past efforts of the evidence-based practice and QI movements, challenges persist in sustaining practice improvements and translating research findings to direct patient care. APPROACH: The purpose of this article is to describe the Synergy for Change Model that proposes that both QI and IS research and practice be used to accelerate improvements in health care quality. CONCLUSIONS: Recognizing the synergy of QI and IS practice and research will accelerate nursing's contributions to high-quality and safe care.

Materials and Methods for Recruiting Systematically Marginalized Youth and Families for Weight-Management Intervention Trials: Community Stakeholders' Perspectives.

Rates of overweight and obesity are problematic among systematically marginalized youth; however, these youth and their families are a hard-to-reach research population. The purpose of our study was to identify facilitators and barriers for recruiting systematically marginalized families in youth weight-management intervention research. This study built upon existing evidence through involvement of youth, parents, community agency workers, and school nurses, and an exploration of both recruitment materials and processes. Seven focus groups were conducted with 48 participants from 4 stakeholder groups (youth, parents, school nurses, and community agency workers). A codebook approach to thematic analysis was used to identify key facilitator and barrier themes related to recruitment materials and processes across the stakeholder groups. Ecological systems theory was applied to contextualize the facilitators and barriers identified. Participants reported the need to actively recruit youth in the study through engaging, fun recruitment materials and processes. Participants reported greater interest in recruitment at community-based events, as compared to recruitment through health care providers, underscoring the depth of distrust that this sample group has for the health care system. Recommendations for recruitment materials and processes for weight-management intervention research with systematically marginalized families are proposed.

Neural Processing of Health Information and Hypertension Self-Management in African Americans.

BACKGROUND: Uncontrolled blood pressure (BP) rates are persistently high among African Americans with hypertension. Although self-management is critical to controlling BP, little is known about the brain-behavior connections underlying the processing of health information and the performance of self-management activities. OBJECTIVES: In this pilot study, we explored the associations among neural processing of two types of health information and a set of self-management cognitive processes (self-efficacy, activation, decision-making, and hypertension knowledge) and behaviors (physical activity, dietary intake, and medication taking) and health status indicators (BP, health-related quality of life, anxiety, and depression). METHODS: Using a descriptive cross-sectional design, 16 African Americans with uncontrolled hypertension (mean age = 57.5 years, 68.8% women) underwent functional magnetic resonance imaging to assess activation of two neural networks, the task-positive network and the default mode network, and a region in the ventromedial prefrontal cortex associated with emotion-focused and analytic-focused health information. Participants completed self-reports and clinical assessments of self-management processes, behaviors, and health status indicators. RESULTS: Our hypothesis that neural processing associated with different types of health information would correlate with self-management cognitive processes and behaviors and health status indicators was only partially supported. Home diastolic BP was positively associated with ventromedial prefrontal cortex activation ( r = .536, p = .09); no other associations were found among the neural markers and self-management or health status variables. Expected relationships were found among the self-management processes and behaviors and health status indicators. DISCUSSION: To advance our understanding of the neural processes underlying health information processing and chronic illness self-management, future studies are needed that use larger samples with more heterogeneous populations and additional neuroimaging techniques.

Preliminary Efficacy of an Emotion Regulation Intervention on Physical Activity and Depressive and Anxious Symptoms in Individuals in Cardiac Rehabilitation.

BACKGROUND: For the 720 000 Americans expected to experience a new acute cardiac event this year, cardiac rehabilitation is an important part of recovery. Symptoms of depression and anxiety undermine recovery efforts, leaving recovering patients at risk for diminished functional capacity and heightened risk of mortality. Poor emotion regulation can worsen symptoms of depression and anxiety and hinder recovery efforts. OBJECTIVE: The purpose of this randomized controlled trial was to evaluate the early efficacy testing of a theoretically based emotion regulation treatment (Regulating Emotions to Improve Self-management of Nutrition, Exercise, and Stress [RENEwS]) designed to assist survivors of an acute cardiac event in cardiac rehabilitation to optimize recovery. METHODS: Survivors of an acute cardiac event in cardiac rehabilitation (n = 30, 83% men) were randomized to five 1-hour in-person group sessions of RENEwS or a phone-based attention-control group. Participants completed measures of depression and anxiety symptoms at 3 time points. Moderate to vigorous physical activity (MVPA) was objectively measured for 7 days at each time point using waist-worn actigraphy monitors. Between-group differences were calculated using analysis of variance with Cohen f effect sizes calculated to evaluate initial efficacy. RESULTS: There was no statistically significant difference in depression, anxiety, or MVPA over time based on group assignment (all P > .05). Compared with attention control participants, in RENEwS participants, preliminary effects showed greater reductions in depression (Cohen f = 0.34) and anxiety (Cohen f = 0.40) symptoms but only modest improvements in MVPA from baseline to 5 months (Cohen f = 0.08). CONCLUSIONS: Findings show that RENEwS is a promising emotion regulation intervention to enhance cardiac rehabilitation and potentially decrease symptoms of depression and anxiety.

Development and Validation of the Systems Thinking Scale.

PURPOSE: Systems thinking is the ability to recognize and synthesize patterns, interactions, and interdependencies in a set of activities and is a key component in quality and safety. A measure of systems thinking is needed to advance our understanding of the mechanisms that contribute to improvement efforts. The purpose of this study was to develop and conduct psychometric testing of a systems thinking scale (STS). METHODS: The development of the STS included obtaining national quality and safety experts' conceptual domains of systems thinking and the generation of a provisional set of items. Further psychometric analyses were conducted with interprofessional healthcare faculty (N = 342) and students (N = 224) engaged in quality improvement initiatives and education. RESULTS: Of the 26 items identified in the development phase, factor analyses indicated three factors: (1) system thinking (20 items), (2) personal effort (2 items), and (3) reliance on authority (4 items). The six items from factors 2 and 3 were omitted due to low factor loadings. Test-retest reliability of the 20-item STS was performed on 36 healthcare professionals and a correlation of 0.74 was found. Internal consistency testing on a sample of 342 healthcare professionals using Cronbach's alpha showed a coefficient of 0.89. Discriminant validity was confirmed with three groups of healthcare professions students (N = 102) who received high, low, or no dose levels of systems thinking education in the context of process improvement. CONCLUSIONS: The 20-item STS is a valid and reliable instrument that is easy to administer and takes less than 10 min to complete. Further research using the STS has the potential to advance the science and education of quality improvement in two main ways: (1) increase understanding of a critical mechanism by which quality improvement processes achieve results, and (2) evaluate the effectiveness of our education to improve systems thinking.

Building a Research Data Repository for Chronic Condition Self-Management Using Harmonized Data.

BACKGROUND: Building nursing research data repositories with the goal of comparing and synthesizing results across numerous studies and public sharing of data is still in early stages of development. OBJECTIVES: We describe the process of using common data elements (CDEs) to build a data repository for research addressing self-management of chronic conditions. Issues in the development of CDEs, lessons learned in the creation of a combined data set across seven studies of different chronic condition populations, and recommendations for creating and sharing harmonized nursing research data sets are provided. METHODS: In 2014, at initiation of a National Institutes of Health-funded Centers of Excellence in Self-Management Research, our center investigators defined a set of CDEs for use in future center-funded pilot studies consisting of populations having different chronic conditions with the intent to combine the study data sets. Over the next 4 years, center investigators were provided with standardized codebooks and data collection protocols for applying the CDEs and data storage. Data from seven pilot studies were subsequently combined. RESULTS: Although each pilot study was small-with sample sizes ranging from 18 to 31 participants-our combined data set of 179 participants provides us with a sample size sufficient to conduct analyses that could not be done with the individual small samples alone. The research data repository addressing self-management of chronic conditions will soon be available for public sharing. DISCUSSION: Our experience demonstrates that, with careful, upfront planning and ongoing vigilant oversight, CDEs can be applied across studies consisting of different chronic condition populations to combine data sets to create research data repositories for public sharing.

Neural Processing and Perceived Discrimination Stress in African Americans.

BACKGROUND: Racial discrimination is one of many barriers experienced by African Americans that interfere with health self-care management. Discrimination stress may decrease the tendency for individuals to resonate with the social-emotional appeals embedded in persuasive health information, which are known to play a key role in producing behavior change. Understanding the neurobehavioral underpinnings of discrimination stress experienced by African Americans may help reduce or resolve this important health disparity. OBJECTIVES: The purpose of this secondary analysis was to examine the association between neural processing of health information and perceived discrimination. In particular, we focused on three previously identified measures of health information processing associated with distinct brain areas: analytic network, empathy network, and the ventral medial prefrontal cortex. METHODS: Data were obtained from 24 African Americans enrolled in a blood pressure self-care management study. Participants completed surveys assessing racial discrimination and global stress, as well as a 40-minute functional magnetic resonance imaging protocol used to measure neural activation associated with processing different types of health information. RESULTS: Discrimination stress was significantly related to reduced activation of the empathy network and ventral medial prefrontal cortex, whereas there was a nonsignificant positive relationship with activity in the analytic network. DISCUSSION: Uncovering associations between patient experiences, such as racial discrimination, and their neural processing of health information can lead to the development of tailored health messages and self-care management interventions. This may inform strategies to close the gap on health outcomes.

Snacking characteristics and patterns and their associations with diet quality and BMI in the Childhood Obesity Prevention and Treatment Research Consortium.

OBJECTIVE: To describe snacking characteristics and patterns in children and examine associations with diet quality and BMI. DESIGN: Children's weight and height were measured. Participants/adult proxies completed multiple 24 h dietary recalls. Snack occasions were self-identified. Snack patterns were derived for each sample using exploratory factor analysis. Associations of snacking characteristics and patterns with Healthy Eating Index-2010 (HEI-2010) score and BMI were examined using multivariable linear regression models. SETTING: Childhood Obesity Prevention and Treatment Research (COPTR) Consortium, USA: NET-Works, GROW, GOALS and IMPACT studies. PARTICIPANTS: Predominantly low-income, racial/ethnic minorities: NET-Works (n 534, 2-4-year-olds); GROW (n 610, 3-5-year-olds); GOALS (n 241, 7-11-year-olds); IMPACT (n 360, 10-13-year-olds). RESULTS: Two snack patterns were derived for three studies: a meal-like pattern and a beverage pattern. The IMPACT study had a similar meal-like pattern and a dairy/grains pattern. A positive association was observed between meal-like pattern adherence and HEI-2010 score (P for trend < 0⋅01) and snack occasion frequency and HEI-2010 score (ß coefficient (95 % CI): NET-Works, 0⋅14 (0⋅04, 0⋅23); GROW, 0⋅12 (0⋅02, 0⋅21)) among younger children. A preference for snacking while using a screen was inversely associated with HEI-2010 score in all studies except IMPACT (ß coefficient (95 % CI): NET-Works, -3⋅15 (-5⋅37, -0⋅92); GROW, -2⋅44 (-4⋅27, -0⋅61); GOALS, -5⋅80 (-8⋅74, -2⋅86)). Associations with BMI were almost all null. CONCLUSIONS: Meal-like and beverage patterns described most children's snack intake, although patterns for non-Hispanic Blacks or adolescents may differ. Diets of 2-5-year-olds may benefit from frequent meal-like pattern snack consumption and diets of all children may benefit from decreasing screen use during eating occasions.

Characterization of Brain Signatures to Add Precision to Self-Management Health Information Interventions.

BACKGROUND: Although many of the proposed mediating processes of self-management interventions are operationally defined as cognitive processes (e.g., acquiring and using information, self-efficacy, motivation, and decision-making), little is known about their underlying brain mechanisms. Brain biomarkers of how people process health information may be an important characteristic on which to individualize health information to optimize self-management of chronic conditions. OBJECTIVES: We describe a program of research addressing the identification of brain biomarkers that differentially predict responses to two types of health information (analytic focused and emotion focused) designed to support optimal self-management of chronic conditions. METHODS: We pooled data from two pilot studies (N = 52) that included functional magnetic resonance imaging during a specially designed, ecologically valid protocol to examine brain activation (task differentiation) associated with two large-scale neural networks-the Analytic Network and the Empathy Network-and the ventral medial prefrontal cortex while individuals responded to different types of health information (analytic and emotional). RESULTS: Findings indicate that analytic information and emotional information are processed differently in the brain, and the magnitude of this differentiation in response to type of information varies from person to person. Activation in the a priori regions identified in response to both analytic and emotion information was confirmed. The feasibility of obtaining brain imaging data from persons with chronic conditions also is demonstrated. DISCUSSION: An understanding of brain signatures related to information processing has potential to assist in the design of more individualized, effective self-management interventions.

The Use of Technology to Support Precision Health in Nursing Science.

PURPOSE: This article outlines how current nursing research can utilize technology to advance symptom and self-management science for precision health and provides a roadmap for the development and use of technologies designed for this purpose. APPROACH: At the 2018 annual conference of the National Institute of Nursing Research (NINR) Research Centers, nursing and interdisciplinary scientists discussed the use of technology to support precision health in nursing research projects and programs of study. Key themes derived from the presentations and discussion were summarized to create a proposed roadmap for advancement of technologies to support health and well-being. CONCLUSIONS: Technology to support precision health must be centered on the user and designed to be desirable, feasible, and viable. The proposed roadmap is composed of five iterative steps for the development, testing, and implementation of technology-based/enhanced self-management interventions. These steps are (a) contextual inquiry, focused on the relationships among humans, and the tools and equipment used in day-to-day life; (b) value specification, translating end-user values into end-user requirements; (c) design, verifying that the technology/device can be created and developing the prototype(s); (d) operationalization, testing the intervention in a real-world setting; and (e) summative evaluation, collecting and analyzing viability metrics, including process data, to evaluate whether the technology and the intervention have the desired effect. CLINICAL RELEVANCE: Interventions using technology are increasingly popular in precision health. Use of a standard multistep process for the development and testing of technology is essential.

Precision health: Advancing symptom and self-management science.

BACKGROUND: Precision health considers individual lifestyle, genetics, behaviors, and environment context and facilitates interventions aimed at helping individuals achieve well-being and optimal health. PURPOSE: To present the Nursing Science Precision Health (NSPH) Model and describe the integration of precision health concepts within the domains of symptom and self-management science as reflected in the National Institute of Nursing Research P30 Centers of Excellence and P20 Exploratory Centers. METHODS: Center members developed the NSPH Model and the manuscript based on presentations and discussions at the annual NINR Center Directors Meeting and in follow-up telephone meetings. DISCUSSION: The NSPH Model comprises four precision components (measurement; characterization of phenotype including lifestyle and environment; characterization of genotype and other biomarkers; and intervention target discovery, design, and delivery) that are underpinned by an information and data science infrastructure. CONCLUSION: Nurse scientist leadership is necessary to realize the vision of precision health as reflected in the NSPH Model.

Biomarkers as Common Data Elements for Symptom and Self-Management Science.

PURPOSE: Biomarkers as common data elements (CDEs) are important for the characterization of biobehavioral symptoms given that once a biologic moderator or mediator is identified, biologically based strategies can be investigated for treatment efforts. Just as a symptom inventory reflects a symptom experience, a biomarker is an indicator of the symptom, though not the symptom per se. The purposes of this position paper are to (a) identify a "minimum set" of biomarkers for consideration as CDEs in symptom and self-management science, specifically biochemical biomarkers; (b) evaluate the benefits and limitations of such a limited array of biomarkers with implications for symptom science; (c) propose a strategy for the collection of the endorsed minimum set of biologic samples to be employed as CDEs for symptom science; and (d) conceptualize this minimum set of biomarkers consistent with National Institute of Nursing Research (NINR) symptoms of fatigue, depression, cognition, pain, and sleep disturbance. DESIGN AND METHODS: From May 2016 through January 2017, a working group consisting of a subset of the Directors of the NINR Centers of Excellence funded by P20 or P30 mechanisms and NINR staff met bimonthly via telephone to develop this position paper suggesting the addition of biomarkers as CDEs. The full group of Directors reviewed drafts, provided critiques and suggestions, recommended the minimum set of biomarkers, and approved the completed document. Best practices for selecting, identifying, and using biological CDEs as well as challenges to the use of biological CDEs for symptom and self-management science are described. Current platforms for sample outcome sharing are presented. Finally, biological CDEs for symptom and self-management science are proposed along with implications for future research and use of CDEs in these areas. FINDINGS: The recommended minimum set of biomarker CDEs include pro- and anti-inflammatory cytokines, a hypothalamic-pituitary-adrenal axis marker, cortisol, the neuropeptide brain-derived neurotrophic factor, and DNA polymorphisms. CONCLUSIONS: It is anticipated that this minimum set of biomarker CDEs will be refined as knowledge regarding biologic mechanisms underlying symptom and self-management science further develop. The incorporation of biological CDEs may provide insights into mechanisms of symptoms, effectiveness of proposed interventions, and applicability of chosen theoretical frameworks. Similarly, as for the previously suggested NINR CDEs for behavioral symptoms and self-management of chronic conditions, biological CDEs offer the potential for collaborative efforts that will strengthen symptom and self-management science. CLINICAL RELEVANCE: The use of biomarker CDEs in biobehavioral symptoms research will facilitate the reproducibility and generalizability of research findings and benefit symptom and self-management science.

Does Lifestyle Exercise After a Cardiac Event Improve Metabolic Syndrome Profile in Older Adults?

BACKGROUND: Exercise is a common recommendation to reduce the risk factors of metabolic syndrome, yet there are limited data on the influence of lifestyle exercise after cardiac events on metabolic syndrome factors. OBJECTIVE: The purpose of this study was to determine whether lifestyle exercise improves metabolic syndrome profile in older adults after a cardiac event. METHODS: Participants were from a post-cardiac-event lifestyle exercise study. Five metabolic syndrome factors were assessed: waist circumference, triglycerides, high-density lipids, glucose, and systolic and diastolic blood pressure. Objective measures of exercise were obtained from heart rate monitors over a year. Logistic regression was used to determine whether participants who engaged in the minimum recommendation of 130 hours of exercise or greater during the 12-month period improved their metabolic syndrome profile by improving at least 1 metabolic syndrome factor. RESULTS: In the sample of 116 participants (74% men; average age, 67.5 years), 43% exercised at the recommended amount (≥130 h/y) and 28% (n = 33) improved their metabolic syndrome profile. After controlling for confounding factors of age, gender, race, diabetes, functional ability, and employment, subjects who exercised at least 130 hours a year were 3.6 times more likely to improve at least 1 metabolic syndrome factor (95% confidence interval, 1.24-10.49). Of the 28% who improved their metabolic syndrome profile, 72% increased their high-density lipoprotein and 60.6% reduced their waist circumference and glucose. CONCLUSIONS: After a cardiac event, older patients who engage in lifestyle exercise at the recommended amount have improvement in their metabolic syndrome profile.

Depressive symptoms moderate the relationship between medication regimen complexity and objectively measured medication adherence in adults with heart failure.

Patients with heart failure (HF) take many medications to manage their HF and comorbidities, and 20-50% experience depression. Depressed individuals with more complex medication regimens may be at greater risk for poor adherence. The aim of this study was to assess depressive symptoms as a moderator of the relationship between medication regimen complexity and medication adherence in an observational study of patients with HF. In hierarchical linear regression with the final sample of 299, the interaction of medication regimen complexity and depressive symptoms predicted medication adherence, p < .05. For individuals with higher levels of depressive symptoms [1 standard deviation (SD) above the mean], more regimen complexity was associated with lower adherence. For individuals with low (1 SD below the mean) or average levels of depressive symptoms, regimen complexity was unrelated to medication adherence. Care management strategies, including pillboxes and caregiver involvement, may be valuable in HF patients with depression.

Feasibility of Combining Common Data Elements Across Studies to Test a Hypothesis.

PURPOSE: The purpose of this article is to describe the outcomes of a collaborative initiative to share data across five schools of nursing in order to evaluate the feasibility of collecting common data elements (CDEs) and developing a common data repository to test hypotheses of interest to nursing scientists. This initiative extended work already completed by the National Institute of Nursing Research CDE Working Group that successfully identified CDEs related to symptoms and self-management, with the goal of supporting more complex, reproducible, and patient-focused research. DESIGN: Two exemplars describing the group's efforts are presented. The first highlights a pilot study wherein data sets from various studies by the represented schools were collected retrospectively, and merging of the CDEs was attempted. The second exemplar describes the methods and results of an initiative at one school that utilized a prospective design for the collection and merging of CDEs. METHODS: Methods for identifying a common symptom to be studied across schools and for collecting the data dictionaries for the related data elements are presented for the first exemplar. The processes for defining and comparing the concepts and acceptable values, and for evaluating the potential to combine and compare the data elements are also described. Presented next are the steps undertaken in the second exemplar to prospectively identify CDEs and establish the data dictionaries. Methods for common measurement and analysis strategies are included. FINDINGS: Findings from the first exemplar indicated that without plans in place a priori to ensure the ability to combine and compare data from disparate sources, doing so retrospectively may not be possible, and as a result hypothesis testing across studies may be prohibited. Findings from the second exemplar, however, indicated that a plan developed prospectively to combine and compare data sets is feasible and conducive to merged hypothesis testing. CONCLUSIONS: Although challenges exist in combining CDEs across studies into a common data repository, a prospective, well-designed protocol for identifying, coding, and comparing CDEs is feasible and supports the development of a common data repository and the testing of important hypotheses to advance nursing science. CLINICAL RELEVANCE: Incorporating CDEs across studies will increase sample size and improve data validity, reliability, transparency, and reproducibility, all of which will increase the scientific rigor of the study and the likelihood of impacting clinical practice and patient care.

Cognitive Function Predicts Risk for Clinically Significant Weight Gain in Adults With Heart Failure.

BACKGROUND: Few investigators have examined whether cognitive deficits predict poorer self-care of weight management recommendations and weight gain in adults with heart failure. OBJECTIVE: The purposes of this study were (1) to examine whether cognition is associated with adherence to daily weighing and weight gain incidence and (2) to explore self-reported symptom perception and management when a weight increase occurs. METHODS: In this observational study, participants completed neuropsychological testing, were given an electronic scale, and were instructed to record their weight for 21 days. Data for 301 participants were collected at baseline and 3 weeks after weight monitoring. RESULTS: At baseline, only 35% of the enrolled respondents knew when to call their physician for increased weight gain, and 37% of the analyzed sample (n = 110/301) experienced a clinically significant weight gain. Regressions tested whether baseline attention, executive function, or memory predicted adherence to daily weighing and the likelihood of weight gain incidence. In unadjusted and adjusted covariate analyses, none of the cognitive domains predicted adherence to daily weighing (P ≥ .375); however, all 3 cognitive domains predicted an increased risk of a clinically significant weight gain (P ≤ .05). Importantly, 65% of participants with a weight gain did not identify this symptom on self-report questions. CONCLUSIONS: Although cognitive deficits are not associated with adherence to daily weighing, adults with cognitive deficits may be at an increased risk for experiencing a clinically significant weight gain, and most do not perceive symptoms. CLINICAL IMPLICATIONS: Adults with heart failure require more than directions on self-care related to weight monitoring.

Merging an Activity Tracker with SystemCHANGE™ to Improve Physical Activity in Older Kidney Transplant Recipients.

Motivational strategies to increase adherence to a long-term physical activity regimen have been unsuccessful for kidney transplant recipients. We propose a theory-based SystemCHANGE™ + Activity Tracker framework. The SystemCHANGE™ + Activity Tracker approach combines small, individual-driven experiments for increasing physical activity with visual feedback from the wireless activity tracker, which enables clients to study their progress in increasing physical activity. The SystemCHANGE™ + Activity Tracker approach is designed to empower kidney transplant recipients to improve and maintain their physical activity behavior.

Recommendations of Common Data Elements to Advance the Science of Self-Management of Chronic Conditions.

PURPOSE: Common data elements (CDEs) are increasingly being used by researchers to promote data sharing across studies. The purposes of this article are to (a) describe the theoretical, conceptual, and definition issues in the development of a set of CDEs for research addressing self-management of chronic conditions; (b) propose an initial set of CDEs and their measures to advance the science of self-management; and (c) recommend implications for future research and dissemination. DESIGN AND METHODS: Between July 2014 and December 2015 the directors of the National Institute of Nursing Research (NINR)-funded P20 and P30 centers of excellence and NINR staff met in a series of telephone calls and a face-to-face NINR-sponsored meeting to select a set of recommended CDEs to be used in self-management research. A list of potential CDEs was developed from examination of common constructs in current self-management frameworks, as well as identification of variables frequently used in studies conducted in the centers of excellence. FINDINGS: The recommended CDEs include measures of three self-management processes: activation, self-regulation, and self-efficacy for managing chronic conditions, and one measure of a self-management outcome, global health. CONCLUSIONS: The self-management of chronic conditions, which encompasses a considerable number of processes, behaviors, and outcomes across a broad range of chronic conditions, presents several challenges in the identification of a parsimonious set of CDEs. This initial list of recommended CDEs for use in self-management research is provisional in that it is expected that over time it will be refined. Comment and recommended revisions are sought from the research and practice communities. CLINICAL RELEVANCE: The use of CDEs can facilitate generalizability of research findings across diverse population and interventions.

Cognitive Function Does Not Impact Self-reported Health-Related Quality of Life in Heart Failure Patients.

BACKGROUND: Adults with heart failure (HF) often demonstrate impairment across multiple domains of cognitive functioning and report poor health-related quality of life (HRQoL). Previous researchers have found that cognitive deficits were generally not associated with HRQoL in a carefully evaluated sample. The exception was memory, which was only weakly associated with HRQoL. However, cognitive deficits interfere with self-care and disease self-management, which could be expected to affect HRQoL. OBJECTIVE: We sought to verify this counterintuitive finding in a large well-characterized sample of HF patients using a well-validated neuropsychological battery. METHODS: Participants were 302 adults (63% male) predominately white (72.5%) HF patients (68.7 ± 9.6 years) recruited from 2 medical centers. Self-reported HRQoL was assessed using the Kansas City Cardiomyopathy Questionnaire. Participants completed a neuropsychological battery examining attention, executive function, memory, and visuospatial functioning. Hierarchical multiple linear regression was used for analyses. RESULTS: Mild global cognitive impairment was observed in 29.5% of the sample (Modified Mini-Mental State [3MS] Examination score <90). Controlling for gender, depression, HF severity, premorbid IQ, comorbidities, and education, only executive function predicted HRQoL, ß = .17, P < .05. However, executive function accounted for only 0.6% of the variance in HRQoL. CONCLUSION: Cognitive function generally did not predict HRQoL in HF patients. The correlates of HRQoL in HF do not appear to include mild cognitive impairment. Other factors may play a bigger role such as disease severity, age, and depressive symptoms. Future studies should investigate modifiable determinants of HRQoL in HF patients, toward the goal of finding interventions that preserve HRQoL during this chronic illness.

Family self-tailoring: Applying a systems approach to improving family healthy living behaviors.

The adoption and maintenance of healthy living behaviors by individuals and families is a major challenge. We describe a new model of health behavior change, SystemCHANGE (SC), which focuses on the redesign of family daily routines using system improvement methods. In the SC intervention, families are taught a set of skills to engage in a series of small, family self-designed experiments to test ideas to change their daily routines. The family system-oriented changes brought about by these experiments build healthy living behaviors into family daily routines so that these new behaviors happen as a matter of course, despite wavering motivation, willpower, or personal effort on the part of individuals. Case stories of the use of SC to improve family healthy living behaviors are provided. Results of several pilot tests of SC indicate its potential effectiveness to change health living behaviors across numerous populations.