Negative self-referent cognition predicts future depression symptom change: an intensive sampling approach.

Cognitive theories of depression assert that negative self-referent cognition has a causal role in the development and maintenance of depression symptoms, but few studies have examined temporal associations between these constructs using intensive, longitudinal sampling strategies. In three samples of undergraduate students, we examined associations between change in self-referent processing and depression across 5 daily assessments (Sample 1, N = 303, 1,194 measurements, 79% adherence), 7 daily assessments (Sample 2, N = 313, 1,784 measurements, 81% adherence), and 7 weekly assessments (Sample 3; N = 155, 833 measurements, 81% adherence). Random intercept cross-lagged panel models indicated large cross-lagged effects in two of the three samples (Samples 1 and 3 but not Sample 2), such that more negative self-referent thinking than usual was significantly associated with a subsequent increase in depression symptoms at the next time lag. Notably, change in depression from usual was not associated with increases in negative self-referent processing at the next time point in any sample. These findings suggest that change in negative self-referent processing may be causally linked to future increases in depression on a day-to-day and week-to-week basis, although confidence in this conclusion is tempered somewhat by a lack of replication in Sample 2.

Community Health Outside the Exam Room: Extracurricular Learning to Augment Nurse Practitioner Student Practice Readiness.

BACKGROUND: The curricular requirements of nurse practitioner (NP) programs are well established. NP students' clinical practicums provide a context for the extracurricular acquisition of administrative, operational, and systems-focused NP skills. PROBLEM: Acquisition of extracurricular NP skills is variable and highly dependent on a student's clinical placements. The COVID-19 pandemic exacerbated this variability by limiting students' access to traditional clinical rotations. APPROACH: With our practice partners, we inventoried the behaviors that are associated with new graduate NP readiness for practice in community health centers. We then developed an extracurricular seminar series to develop these behaviors. Each seminar in the series was presented by a preceptor. OUTCOMES: Students reported gains in their perceived readiness to practice. The casual format and preceptor presenters were highly valued by students. CONCLUSIONS: NP educators should consider leveraging academic-practice partnerships to standardize students' acquisition of administrative, operational, and systems-focused NP competencies.

Intimate Partner Violence Standardized Patient Simulation for Nurse Practitioner Students.

OBJECTIVE: Intimate partner violence (IPV) is a serious public health threat in the United States, affecting millions of individuals and families. The American Association of Colleges of Nursing recommends that nursing programs, both baccalaureate and graduate, provide students didactic training and clinical experience in the assessment and management of IPV. Our goal was to expose Psychiatric Mental Health Nurse Practitioner (PMHNP) students and Family Nurse Practitioner (FNP) students to a simulated IPV scenario so they are prepared to respond appropriately to a survivor's disclosure of IPV when they begin clinical practice. METHODS: We integrated a patient simulation scenario into our PMHNP and FNP curriculum. A combined group of PMHNP and FNP students participated in a simulation in which the standardized patient provided an unlikely explanation for her injuries. If students inquired about abuse, the patient revealed that she had experienced IPV. A pre- and posttest survey was used to evaluate student knowledge gain before and after the participating in the scenario. A Related Samples Wilcoxon Signed Rank Test was used to evaluate the results. RESULTS: Compared with pretest scores, students demonstrated improved confidence in screening for IPV as well as responding to a disclosure of IPV. CONCLUSION: Simulation provides a method to enhance student knowledge of incidence, risk, and best practices in relation to the screening, assessment and management of IPV.

Can integrating the Memory Support Intervention into cognitive therapy improve depression outcome? A randomized controlled trial.

We investigated if improving a patient's memory for the content of their treatment, via the Memory Support Intervention, improves illness course and functional outcomes. The platform for investigating this question was major depressive disorder (MDD) and cognitive therapy (CT). Adults diagnosed with MDD (N = 178) were randomly allocated to CT + Memory Support (n = 91) or CT-as-usual (n = 87). Both treatments were comprised of 20-26, 50-min sessions over 16 weeks. Blind assessments were conducted before and immediately following treatment (post-treatment) and 6 months later (6FU). Patient memory for treatment, assessed with a free recall task, was higher in CT + Memory Support for past session recall at post-treatment. Both treatment arms were associated with reductions in depressive symptoms and functional impairment except: CT + Memory Support exhibited lower depression severity at 6FU (b = -3.09, p = 0.050, d = -0.27), and greater reduction in unhealthy days from baseline to 6FU (b = -4.21, p = 0.010, d = -1.07), compared to CT-as-usual. While differences in illness course and functional outcomes between the two treatment arms were limited, it is possible that future analyses of the type of memory supports and longer follow-up may yield more encouraging outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT01790919. Registered October 6, 2016.

Not just "big" data: Importance of sample size, measurement error, and uninformative predictors for developing prognostic models for digital interventions.

There is strong interest in developing a more efficient mental health care system. Digital interventions and predictive models of treatment prognosis will likely play an important role in this endeavor. This article reviews the application of popular machine learning models to the prediction of treatment prognosis, with a particular focus on digital interventions. Assuming that the prediction of treatment prognosis will involve modeling a complex combination of interacting features with measurement error in both the predictors and outcomes, our simulations suggest that to optimize complex prediction models, sample sizes in the thousands will be required. Machine learning methods capable of discovering complex interactions and nonlinear effects (e.g., decision tree ensembles such as gradient boosted machines) perform particularly well in large samples when the predictors and outcomes have virtually no measurement error. However, in the presence of moderate measurement error, these methods provide little or no benefit over regularized linear regression, even with very large sample sizes (N = 100,000) and a non-linear ground truth. Given these sample size requirements, we argue that the scalability of digital interventions, especially when used in combination with optimal measurement practices, provides one of the most effective ways to study treatment prediction models. We conclude with suggestions about how to implement these algorithms into clinical practice.

Cultivating diversity in the advanced practice registered nurse workforce: An exemplar from an advanced practice registered nurse fellowship program.

ABSTRACT: Diversity in the nursing workforce is an important driver of patient satisfaction, adherence to care, and quality outcomes. Systemic barriers exist that prevent individuals from underrepresented minority groups entering and advancing in the nursing workforce. To advance the health of the community we serve and with grant support from the Health Resources and Services Administration, we developed a postgraduate advanced practice registered nurse (APRN) fellowship in community health. This program is a partnership between a federally qualified health center and a college of nursing. We developed a deliberate plan to recruit and admit diverse applicants who would continue to practice in our community at the conclusion of their fellowship year. Using targeted recruitment outreach, we identified new-graduate APRNs who were representative of the community we serve. Using holistic review methodology, we interviewed applicants with explicit efforts to mitigate the effects of bias towards race, ethnicity, gender, and academic affiliation. We embraced a quality-improvement ethos that enabled evolution and growth with each iteration of the program. Understanding that intention does not translate to outcomes, we undertook ongoing critique of our methods and engaged diverse resources to improve our processes. Over two admission cycles, our fellowship in community health for new graduate APRNs has demonstrated improvements in strategies to diversify the community health workforce. We will describe our process of nonjudgmental self-critique and a quality-improvement framework that can serve as a strategy to promote diversity, equity, and inclusion in the community health workforce.

Rising to the Occasion of This COVID-19-Impacted Nation: Development, Implementation, and Feasibility of the Brief Assessment-Informed Skills Intervention for COVID-19 (BASIC).

The COVID-19 pandemic has had a profound impact on the global economy, physical health, and mental health. This pandemic, like previous viral outbreaks, has resulted in spikes in anxiety, depression, and stress. Even though millions of individuals face the physical health consequences of infection by COVID-19, even more individuals are confronted with the mental health consequences of this pandemic. This significantly increased demand for mental health services cannot be easily met by existing mental health systems, which often rely on courses of therapy to be delivered over months. Single session interventions (SSIs) may be one important approach to meeting this increased demand, as they are treatments designed to be delivered over the course of a single meeting. SSIs have been found to be effective for a range of mental health challenges, with durable effects lasting months to years later. Here, we describe an SSI designed for the COVID-19 pandemic. This Brief Assessment-informed Skills Intervention for COVID-19 (BASIC) program draws upon therapeutic skills from existing empirically supported treatments to target common presenting complaints due to this pandemic. We discuss the process of developing and implementing this intervention, as well as explore feasibility and initial clinical insights. In short, BASIC is an easy-to-adopt intervention that is designed to be effective in a single session, making it well-suited for handling the increased demand for mental health services due to COVID-19.

Multifactorial prediction of depression diagnosis and symptom dimensions.

While depression is a leading cause of disability, prior investigations of depression have been limited by studying correlates in isolation. A data-driven approach was applied to identify out-of-sample predictors of current depression from adults (N = 217) sampled on a continuum of no depression to clinical levels. The current study used elastic net regularized regression and predictors from sociodemographic, self-report, polygenic scores, resting electroencephalography, pupillometry, actigraphy, and cognitive tasks to classify individuals into currently depressed (MDE), psychiatric control (PC), and no current psychopathology (NP) groups, as well as predicting symptom severity and lifetime MDE. Cross-validated models explained 20.6% of the out-of-fold deviance for the classification of MDEs versus PC, 33.2% of the deviance for MDE versus NP, but -0.6% of the deviance between PC and NP. Additionally, predictors accounted for 25.7% of the out-of-fold variance in anhedonia severity, 65.7% of the variance in depression severity, and 12.9% of the deviance in lifetime depression (yes/no). Self-referent processing, anhedonia, and psychosocial functioning emerged as important differentiators of MDE and PC groups. Findings highlight the advantages of using psychiatric control groups to isolate factors specific to depression.

The Reemergence of Syphilis: Clinical Pearls for Consideration.

Despite the near-eradication of syphilis in the United States in the late 1990s, new infections have surged over the past 20 years. Dubbed, "the great imitator," syphilis infections often can be misdiagnosed and resultantly untreated. This leads to people inadvertently infecting others. This article reviews the history of syphilis, including the unethical studies undertaken in the past; current epidemiology; treatment guidelines; and strategies to reduce new infections.

Neurocognitive predictors of self-reported reward responsivity and approach motivation in depression: A data-driven approach.

BACKGROUND: Individual differences in reward-related processes, such as reward responsivity and approach motivation, appear to play a role in the nature and course of depression. Prior work suggests that cognitive biases for valenced information may contribute to these reward processes. Yet there is little work examining how biased attention, processing, and memory for positively and negatively valenced information may be associated with reward-related processes in samples with depression symptoms. METHODS: We used a data-driven, machine learning (elastic net) approach to identify the best predictors of self-reported reward-related processes using multiple tasks of attention, processing, and memory for valenced information measured across behavioral, eye tracking, psychophysiological, and computational modeling approaches (n = 202). Participants were adults (ages 18-35) who ranged in depression symptom severity from mild to severe. RESULTS: Models predicted between 5.0-12.2% and 9.7-28.0% of held-out test sample variance in approach motivation and reward responsivity, respectively. Low self-referential processing of positively valenced information was the most robust, albeit modest, predictor of low approach motivation and reward responsivity. CONCLUSIONS: Self-referential processing of positive information is the strongest predictor of reward responsivity and approach motivation in a sample ranging from mild to severe depression symptom severity. Experiments are now needed to clarify the causal relationship between self-referential processing of positively valenced information and reward processes in depression.

The Significance of Vitamin D Status in Breast Cancer: A State of the Science Review.

The potential role of vitamin D in the development of breast cancer has been the subject of considerable interest. Laboratory and genetic studies demonstrate promising anticarcinogenic effects of vitamin D. However, inconsistencies persist in results of human studies that have assessed vitamin D supplementation for the prevention of primary and secondary cancers. Despite these discrepancies, screening for vitamin D deficiency and vitamin D supplementation have increased dramatically in the past decade. No official institutional guidelines recommend vitamin D supplementation for cancer prevention, and yet these newly adopted practice norms have outpaced rigorous scientific study. Higher circulating levels of vitamin D [25-hydroxyvitamin D, or 25(OH)D] appear to be associated with reduced risk and improved survivorship of certain malignancies. However, the association has not been found for all cancers. This state of the science review examines the association between vitamin D supplementation, circulating 25(OH)D level, vitamin D receptor polymorphisms, and the risk and mortality of breast cancer. The review addresses the role of supplementation and optimal 25(OH)D levels.

Can integrating the Memory Support Intervention into cognitive therapy improve depression outcome? Study protocol for a randomized controlled trial.

BACKGROUND: The Memory Support Intervention was developed in response to evidence showing that: (1) patient memory for treatment is poor, (2) poor memory for treatment is associated with poorer adherence and poorer outcome, (3) the impact of memory impairment can be minimized by the use of memory support strategies and (4) improved memory for treatment improves outcome. The aim of this study protocol is to conduct a confirmatory efficacy trial to test whether the Memory Support Intervention improves illness course and functional outcomes. As a "platform" for the next step in investigating this approach, we focus on major depressive disorder (MDD) and cognitive therapy (CT). METHOD/DESIGN: Adults with MDD (n = 178, including 20% for potential attrition) will be randomly allocated to CT + Memory Support or CT-as-usual and will be assessed at baseline, post treatment and at 6 and 12 months' follow-up (6FU and 12FU). We will compare the effects of CT + Memory Support vs. CT-as-usual to determine if the new intervention improves the course of illness and reduces functional impairment (aim 1). We will determine if patient memory for treatment mediates the relationship between treatment condition and outcome (aim 2). We will evaluate if previously reported poor treatment response subgroups moderate target engagement (aim 3). DISCUSSION: The Memory Support Intervention has been developed to be "transdiagnostic" (relevant to a broad range of mental disorders) and "pantreatment" (relevant to a broad range of types of treatment). This study protocol describes a "next step" in the treatment development process by testing the Memory Support Intervention for major depressive disorder (MDD) and cognitive therapy (CT). If the results are promising, future directions will test the applicability to other kinds of interventions and disorders and in other settings. TRIAL REGISTRATION: ClinicalTrials.gov, ID: NCT01790919 . Registered on 6 October 2016.

Patient Portal Preferences: Perspectives on Imaging Information.

Patient portals have the potential to provide content that is specifically tailored to a patient's information needs based on diagnoses and other factors. In this work, we conducted a survey of 41 lung cancer patients at an outpatient lung cancer clinic at the medical center of the University of California Los Angeles, to gain insight into these perceived information needs and opinions on the design of a portal to fulfill them. We found that patients requested access to information related to diagnosis and imaging, with more than half of the patients reporting that they did not anticipate an increase in anxiety due to access to medical record information via a portal. We also found that patient educational background did not lead to a significant difference in desires for explanations of reports and definitions of terms.

Data model for personalized patient health guidelines: an exploratory study.

Practitioner guidelines simultaneously provide broad overviews and in-depth details of disease. Written for experts, they are difficult for patients to understand, yet patients often use these guidelines as a source of information to help them to learn about their health. Using practitioner guidelines along with patient information needs and preferences, we created a method to design an information model for providing patients access to their personal health information, linked to individualized, relevant supporting information from guidelines within a patient portal. This model consists of twelve classes of concepts. We manually reviewed and annotated medical records to demonstrate the validity of our model. Each class of the model was found within at least one patient's record, and seven classes of concepts appeared in over half of the patients' records annotated. These annotations show that the model produced by the method can be used to determine what guideline information is relevant to an individual patient, based on concepts in their health information.

Imaging informatics for consumer health: towards a radiology patient portal.

OBJECTIVE: With the increased routine use of advanced imaging in clinical diagnosis and treatment, it has become imperative to provide patients with a means to view and understand their imaging studies. We illustrate the feasibility of a patient portal that automatically structures and integrates radiology reports with corresponding imaging studies according to several information orientations tailored for the layperson. METHODS: The imaging patient portal is composed of an image processing module for the creation of a timeline that illustrates the progression of disease, a natural language processing module to extract salient concepts from radiology reports (73% accuracy, F1 score of 0.67), and an interactive user interface navigable by an imaging findings list. The portal was developed as a Java-based web application and is demonstrated for patients with brain cancer. RESULTS AND DISCUSSION: The system was exhibited at an international radiology conference to solicit feedback from a diverse group of healthcare professionals. There was wide support for educating patients about their imaging studies, and an appreciation for the informatics tools used to simplify images and reports for consumer interpretation. Primary concerns included the possibility of patients misunderstanding their results, as well as worries regarding accidental improper disclosure of medical information. CONCLUSIONS: Radiologic imaging composes a significant amount of the evidence used to make diagnostic and treatment decisions, yet there are few tools for explaining this information to patients. The proposed radiology patient portal provides a framework for organizing radiologic results into several information orientations to support patient education.

Effect of education on knowledge, skills and attitudes around pain.

AIMS: The purpose of this study was to assess the effectiveness of an acute pain educational programme in improving nurses' knowledge, skills and attitudes around postoperative pain management. BACKGROUND: Poor postoperative pain management is consistently reported as a problem for patients (Chung and Lui, 2003; Klopper et al, 2006; Bell and Duffy, 2009). This is often attributed to health professionals' lack of knowledge and access to training programmes, which have been cited as barriers to effective pain management (Wilkes et al, 2003; Dihle et al 2006). The Acute Pain Service (APS) team at HSE Mid-Western Regional Hospital, Limerick, and the Centre for Nurse and Midwifery Education developed a training programme for nurses in pain management based on the International Association for the Study of Pain (2005) curriculum for nurses. METHODS: A convenience sample of 59 nurses attending an educational programme on acute pain management was studied. Validated questionnaires were completed before, immediately after and 6 weeks after the educational programme to assess knowledge and attitudes towards acute pain management. Nurses were also asked to rate their views on 18 statements on acute pain management. RESULTS: The acute pain educational programme intervention improved nurses' knowledge and attitudes towards pain assessment and management (p<0.01). It was most effective immediately after the pain education programme. CONCLUSION: Continuing evidenced-based educational programmes in pain management can improve nurses' knowledge of pain. The results of this study could guide the development and implementation of continuing educational programmes for nursing staff in providing patients with evidence-based pain management.

Nursing students' views of clinical competence assessment.

This paper reports on some outcomes of a research study evaluating a new assessment framework of clinical competence used in undergraduate nursing programmes in the Mid West Region of Ireland. First, this paper presents both the strengths and weaknesses of the present model, as articulated by student nurses. Second, it generates a broader critical debate around the concept of competency assessment. The model of competence in question was developed by the Irish Nursing Board then elaborated on by the University of Limerick in partnership with local health service providers in 2002. Methodology involved a triangulated approach, comprising a series of focus group interviews with students (n=13) and preceptors (n=16) followed by a survey of students (n=232) and preceptors (n=837). Findings from the student focus groups are reported here. Themes identified using Burnard's (1991) framework for analysis are preparation for competency assessment, competency documentation, supporting assessment in practice, organisational and resource factors and the competency assessment structure and process. Results from this research have implications for refinement and revision of the present competency assessment framework, for student and staff preparation and for collaboration between stakeholders.

Copper(II) complexes of salicylic acid combining superoxide dismutase mimetic properties with DNA binding and cleaving capabilities display promising chemotherapeutic potential with fast acting in vitro cytotoxicity against cisplatin sensitive and resistant cancer cell lines.

The complexes [Cu(salH)(2)(H(2)O)] (1), [Cu(dipsH)(2)(H(2)O)] (2), {Cu(3-MeOsal)(H(2)O)(0.75)}(n) (3), [Cu(dipsH)(2)(BZDH)(2)] (4), [Cu(dipsH)(2)(2-MeOHBZDH)(2)]·EtOH (5), [Cu(sal)(phen)] (6), [Cu(dips)(phen)]·H(2)O (7), and [Cu(3-MeOsal)(phen)]·H(2)O (8) (salH(2) = salicylic acid; dipsH(2) = 3,5-diisopropylsalicylic acid; 3-MeOsalH(2) = 3-methoxysalicylic acid; BZDH = benzimidazole; 2-MeOHBZDH = 2 methanolbenzimidazole and phen =1,10-phenanthroline) were prepared and characterized. Structures of 4, 5, and 8 were determined by X-ray crystallography. Compounds 1-8 are potent superoxide dismutase mimetics, and they are inactive as inhibitors of COX-2 activity. Compounds 1, 4, and 5 exhibit moderate inhibition of COX-1. Complexes 6-8 display rapid micromolar cytotoxicity against cisplatin sensitive (breast (MCF-7), prostate (DU145), and colon (HT29)) and cisplatin resistant (ovarian (SK-OV-3)) cell lines compared to 1-5, and they exhibit potent in vitro DNA binding and cleavage capabilities.