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Efforts to improve mental health treatment delivery come at a time of rising inequality and cuts or insufficient increases to mental health funding. Public mental health clinicians face increased demands, experience economic stress, and treat underresourced patients disproportionately burdened by trauma. The authors sought to understand clinicians' current economic and psychological conditions and the relationship of these conditions to the delivery of an evidence-based intervention (EBI) designed to treat posttraumatic stress disorder among youths.In July 2020, 49 public mental health clinicians from 16 Philadelphia clinics who were trained in an EBI, trauma-focused cognitive-behavioral therapy (TF-CBT), were surveyed by e-mail. Respondents reported on their economic precarity, financial strain, burnout, secondary traumatic stress (i.e., the stress response associated with caring for people exposed to trauma), and TF-CBT use. Associations between clinicians' job-related stressors and their use of TF-CBT were examined with mixed models. Content coding was used to organize clinicians' open-ended responses to questions regarding financial strain related to the COVID-19 pandemic.Clinicians' economic precarity, financial strain, and job-related stress were high; 37% of clinicians were independent contractors, 44% of whom wanted a salaried position. Of 37 clinicians with education debt, 38% reported owing ≥$100,000. In the past year, 29% of clinicians reported lack of personal mental health care because of cost, and 22% met the cutoff for experiencing secondary traumatic stress symptoms. Education debt was negatively associated with use of TF-CBT (p0.001).The stress of providing care in underresourced clinical settings may interfere with efforts to integrate scientific evidence into mental health care.

Evidence-based assessment (EBA) is foundational to high-quality mental health care for youth and is a critical component of evidence-based practice delivery, yet is underused in the community. Administration time and measure cost are barriers to use; thus, identifying and disseminating brief, free, and accessible measures are critical. This Evidence Base Update evaluates the empirical literature for brief, free, and accessible measures with psychometric support to inform research and practice with youth. A systematic review using PubMed and PsycINFO identified measures in the following domains: overall mental health, anxiety, depression, disruptive behavior, traumatic stress, disordered eating, suicidality, bipolar/mania, psychosis, and substance use. To be eligible for inclusion, measures needed to be brief (50 items or less), free, accessible, and have psychometric support for their use with youth. Eligible measures were evaluated using adapted criteria established by De Los Reyes and Langer (2018) and were classified as having excellent, good, or adequate psychometric properties. A total of 672 measures were identified; 95 (14%) met inclusion criteria. Of those, 21 (22%) were "excellent," 34 (36%) were "good," and 40 (42%) were "adequate." Few measures had support for their use to routinely monitor progress in therapy. Few measures with excellent psychometric support were identified for disordered eating, suicidality, psychosis, and substance use. Future research should evaluate existing measures for use with routine progress monitoring and ease of implementation in community settings. Measure development is needed for disordered eating, suicidality, psychosis, and substance use to increase availability of brief, free, accessible, and validated measures.

ObjectiveNudges are interventions that alter the way options are presented, enabling individuals to more easily select the best option. Health systems and researchers have tested nudges to shape clinician decision-making with the aim of improving healthcare service delivery. We aimed to systematically study the use and effectiveness of nudges designed to improve clinicians’ decisions in healthcare settings.DesignA systematic review was conducted to collect and consolidate results from studies testing nudges and to determine whether nudges directed at improving clinical decisions in healthcare settings across clinician types were effective. We systematically searched seven databases (EBSCO MegaFILE, EconLit, Embase, PsycINFO, PubMed, Scopus and Web of Science) and used a snowball sampling technique to identify peer-reviewed published studies available between 1 January 1984 and 22 April 2020. Eligible studies were critically appraised and narratively synthesised. We categorised nudges according to a taxonomy derived from the Nuffield Council on Bioethics. Included studies were appraised using the Cochrane Risk of Bias Assessment Tool.ResultsWe screened 3608 studies and 39 studies met our criteria. The majority of the studies (90%) were conducted in the USA and 36% were randomised controlled trials. The most commonly studied nudge intervention (46%) framed information for clinicians, often through peer comparison feedback. Nudges that guided clinical decisions through default options or by enabling choice were also frequently studied (31%). Information framing, default and enabling choice nudges showed promise, whereas the effectiveness of other nudge types was mixed. Given the inclusion of non-experimental designs, only a small portion of studies were at minimal risk of bias (33%) across all Cochrane criteria.ConclusionsNudges that frame information, change default options or enable choice are frequently studied and show promise in improving clinical decision-making. Future work should examine how nudges compare to non-nudge interventions (eg, policy interventions) in improving healthcare.

Background In March 2020, a rapid shift to telehealth occurred in community mental health settings in response to the need for physical distancing to decrease transmission of the virus causing COVID-19. Whereas treatment delivered over telehealth was previously utilized sparingly in community settings, it quickly became the primary mode of treatment delivery for the vast majority of clinicians, many of whom had little time to prepare for this shift and limited to no experience using telehealth. Little is known about community mental health clinicians’ experiences using telehealth. Although telehealth may make mental health treatment more accessible for some clients, it may create additional barriers for others given the high rates of poverty among individuals seeking treatment from community mental health centers. Objective We examined community mental health clinicians’ perspectives on using telehealth to deliver trauma-focused cognitive behavioral therapy to youth. We sought to better understand the acceptability of using telehealth, as well as barriers and facilitators to usage. Methods We surveyed 45 clinicians across 15 community clinics in Philadelphia. Clinicians rated their satisfaction with telehealth using a quantitative scale and shared their perspectives on telehealth in response to open-ended questions. Therapists’ responses were coded using an open-coding approach wherein coders generated domains, themes, and subthemes. Results Clinicians rated telehealth relatively positively on the quantitative survey, expressing overall satisfaction with their current use of telehealth during the pandemic, and endorsing telehealth as a helpful mode of connecting with clients. Responses to open-ended questions fell into five domains. Clinicians noted that (1) telehealth affects the content (ie, what is discussed) and process (ie, how it is discussed) of therapy; (2) telehealth alters engagement, retention, and attendance; (3) technology is a crucial component of utilizing telehealth; (4) training, resources, and support are needed to facilitate telehealth usage; and (5) the barriers, facilitators, and level of acceptability of telehealth differ across individual clinicians and clients. Conclusions First, telehealth is likely a better fit for some clients and clinicians than others, and attention should be given to better understanding who is most likely to succeed using this modality. Second, although telehealth increased convenience and accessibility of treatment, clinicians noted that across the board, it was difficult to engage clients (eg, young clients were easily distracted), and further work is needed to identify better telehealth engagement strategies. Third, for many clients, the telehealth modality may actually create an additional barrier to care, as children from families living in poverty may not have the requisite devices or quality broadband connection to make telehealth workable. Better strategies to address disparities in access to and quality of digital technologies are needed to render telehealth an equitable option for all youth seeking mental health services.

BACKGROUND In March 2020, a rapid shift to telehealth occurred in community mental health settings in response to the need for physical distancing to decrease transmission of the virus causing COVID-19. Whereas treatment delivered over telehealth was previously utilized sparingly in community settings, it quickly became the primary mode of treatment delivery for the vast majority of clinicians, many of whom had little time to prepare for this shift and limited to no experience using telehealth. Little is known about community mental health clinicians’ experiences using telehealth. Although telehealth may make mental health treatment more accessible for some clients, it may create additional barriers for others given the high rates of poverty among individuals seeking treatment from community mental health centers. OBJECTIVE We examined community mental health clinicians’ perspectives on using telehealth to deliver trauma-focused cognitive behavioral therapy to youth. We sought to better understand the acceptability of using telehealth, as well as barriers and facilitators to usage. METHODS We surveyed 45 clinicians across 15 community clinics in Philadelphia. Clinicians rated their satisfaction with telehealth using a quantitative scale and shared their perspectives on telehealth in response to open-ended questions. Therapists’ responses were coded using an open-coding approach wherein coders generated domains, themes, and subthemes. RESULTS Clinicians rated telehealth relatively positively on the quantitative survey, expressing overall satisfaction with their current use of telehealth during the pandemic, and endorsing telehealth as a helpful mode of connecting with clients. Responses to open-ended questions fell into five domains. Clinicians noted that (1) telehealth affects the content (ie, what is discussed) and process (ie, how it is discussed) of therapy; (2) telehealth alters engagement, retention, and attendance; (3) technology is a crucial component of utilizing telehealth; (4) training, resources, and support are needed to facilitate telehealth usage; and (5) the barriers, facilitators, and level of acceptability of telehealth differ across individual clinicians and clients. CONCLUSIONS First, telehealth is likely a better fit for some clients and clinicians than others, and attention should be given to better understanding who is most likely to succeed using this modality. Second, although telehealth increased convenience and accessibility of treatment, clinicians noted that across the board, it was difficult to engage clients (eg, young clients were easily distracted), and further work is needed to identify better telehealth engagement strategies. Third, for many clients, the telehealth modality may actually create an additional barrier to care, as children from families living in poverty may not have the requisite devices or quality broadband connection to make telehealth workable. Better strategies to address disparities in access to and quality of digital technologies are needed to render telehealth an equitable option for all youth seeking mental health services.

Trauma-focused cognitive behavioral therapy (TF-CBT) is an evidence-based intervention for youth with posttraumatic stress disorder. An important component of TF-CBT is the trauma narrative (TN), a phase in the intervention in which youth are guided to process the memories, thoughts, and feelings associated with their traumatic experience(s). Previous work has shown that TF-CBT clinicians complete TNs with only half of their clients, yet little is known about what determines TF-CBT clinicians' use of TNs. The behavioral insights literature-an interdisciplinary field studying judgment and decision-making-offers theoretical and empirical tools to conceptualize what drives complex human behaviors and decisions. Drawing from the behavioral insights literature, the present study seeks to understand what determines clinician use of TNs and to generate strategies that target these determinants.Through semi-structured qualitative interviews, we sought the perspectives of trained TF-CBT clinicians working in public mental health settings across the city of Philadelphia (N = 17) to understand their decisions to use TNs with clients. We analyzed the qualitative data using a coding approach informed by the behavioral insights literature. We used an iterative process of structured hypothesis generation, aided by a behavioral insights guide, and rapid validation informed by behavioral insights to uncover the determinants of TN use. We then generated implementation strategies that targeted these determinants using the "Easy Attractive Social Timely" framework, a behavioral insights design approach.We generated and validated three broad themes about what determines clinician implementation of TNs: decision complexity, clinician affective experience, and agency norms. We hypothesized behavioral insights that underlie these implementation determinants and designed a list of nine corresponding behavioral insights strategies that may facilitate TN implementation.Our study investigated why an effective component of an evidence-based intervention is difficult to implement. We leveraged robust scientific theories and empirical regularities from the behavioral insights literature to understand clinician perspectives on TN implementation. These factors were theoretically linked to implementation strategies. Our work revealed the potential for using behavioral insights in the diagnosis of evidence-based intervention determinants and the design of implementation strategies.

Structural magnetic resonance imaging (MRI) is a powerful tool to visualize and quantitate morphological and pathological features of the aging brain. Most work that has used structural MRI to study Alzheimer’s disease (AD) focused on the spatial distribution of atrophic changes associated with disease. These studies consistently show focal atrophy beginning in medial temporal lobes in early and presymptomatic stages of AD before spreading globally throughout the cortical mantle. Normal cognitive aging—aging in the absence of major neurodegenerative disease—on the other hand follows and anterior-to-posterior gradient of atrophic change. In addition to atrophic changes, conventional structural MRI can be used to appreciate markers of small and large vessel cerebrovascular disease, including white matter hyperintensities (WMHs), cerebral microbleeds, and infarction. Studies that have examined cerebrovascular changes associated with AD also show a consistent relationship with risk and severity of clinical AD, particularly with regard to lobar microbleeds and posterior WMH. It is unclear whether cerebrovascular changes play an independent role in the clinical expression of AD or whether it is more mechanistically related, reflecting a core feature of the disease. This chapter reviews recent work on regional atrophy in AD and normal aging, as well as work on small and large cerebrovascular disease in AD.

List learning tests are used in practice for diagnosis and in research to characterize episodic memory, but often suffer from ceiling effects in unimpaired individuals. We developed the Modified Rey Auditory Verbal Learning Test, or ModRey, an episodic memory test for use in normal and preclinical populations. We administered the ModRey to 230 healthy adults and to 86 of the same individuals 102 days later and examined psychometric properties and effects of demographic factors. Primary measures were normally distributed without evidence of ceiling effect. Differences between alternate forms were of very small magnitude and not significant. Test–retest reliability was good. Higher participant age and lower participant education was associated with poorer performance across most outcome measures. We conclude that the ModRey is appropriate for episodic memory characterization in normal populations and could be used as an outcome measure in studies involving preclinical populations.

Alzheimer's disease is defined by abnormal levels of amyloid and tau biomarkers. Even cognitively normal older adults with clinically relevant amyloid and tau levels perform worse on memory tests. However, it is unclear if the relationship between biomarker level and memory extends below clinical thresholds. We hypothesized that even subclinical biomarker levels are associated with memory when measured with neuropsychological tests designed to detect dysfunction in preclinical disease states. In a group of cognitively normal, “biomarker-negative” older men and women, we investigated the relationship between cerebrospinal fluid biomarker levels and memory measured with the ModRey, a list-learning task designed to assess memory in preclinical and cognitively normal adults. Cerebrospinal amyloid levels were associated with ModRey memory retention, the proportion of information retained after a delay period. When older adults with mild impairment were included, cerebrospinal fluid tau levels were also associated with ModRey retention. The association of amyloid and tau levels with memory was independent of each other. These results suggest cognitive changes associated with Alzheimer's disease pathology might occur earlier than currently thought.

White matter hyperintensities (WMHs) have been linked to cognitive dysfunction and dementia, although the reasons are unclear. One possibility is that WMHs promote neurodegeneration, which, in turn, affects cognition. We examined whether cortical thickness, a marker of neurodegeneration, mediates the relationship between WMHs and cognition among 519 older adults. Using conditional process analysis modeling techniques, we examined the association between WMH volume and global cognition and tested whether cortical thickness mediates this relationship statistically. We also tested specific regional hypotheses to determine whether cortical thickness or volume in the medial temporal lobe mediates the relationship between WMH volume and memory. Increased total WMH volume was associated with poorer global cognition and memory. The mediating effects were present across all cognitive domains. Global cortical thickness and medial temporal lobe thickness/volume mediated the relationship of WMH volume on global cognition and memory functioning. The mediating relationship was similar across racial and ethnic groups or across diagnostic groups (i.e., mild cognitive impairment/Alzheimer’s disease). The findings suggest that WMHs promote atrophy, which, in turn, drives cognitive decline and highlight a potential pathway in which small vessel cerebrovascular disease affects cognition by promoting neurodegenerative changes directly.

Background/Study Context: Magnetic resonance imaging (MRI) markers of cerebrovascular disease and atrophy are common in older adults and are associated with cognitive and medical burden. However, the extent to which they are related to health care expenditures has not been examined. We studied whether increased Medicare expenditures were associated with brain markers of atrophy and cerebrovascular disease in older adults.MethodsA subset of participants (n=592; mean age=80 years; 66% women) from the Washington Heights Inwood Columbia Aging Project (WHICAP), a community-based observational study of aging in upper Manhattan, received high-resolution MRI and had Medicare expenditure data on file. We examined the relationship of common markers of cerebrovascular disease (i.e., white matter hyperintensities and presence of infarcts) and atrophy (i.e., whole brain and hippocampal volume) with Medicare expenditure data averaged over a 10-year period. Main outcome measures were (a) mean Medicare payment per year across the 10-year interval; (b) mean payment for outpatient care per year; and (c) mean payment for inpatient care per year of visit. In addition, we calculated the ratio of mean inpatient spending to mean outpatient spending as well as the ratio of mean inpatient spending to mean total Medicare spending.ResultsIncreased Medicare spending was associated with higher white matter hyperintensity volume, presence of cerebral infarcts, and smaller total brain volume. When examining specific components of Medicare expenditures, we found that inpatient spending was strongly associated with white matter hyperintensity volume and that increased ratios of inpatient to outpatient and inpatient to total spending were associated with infarcts.ConclusionMedicare costs are related to common markers of "silent" cerebrovascular disease and atrophy.