A crucial step towards improving the care of people with fibromyalgia is understanding current practice. Our systematic review aims to address this by synthesising the global evidence around healthcare use in people with fibromyalgia, including its variation across groups of people, geographical locations, and over time.

Fibromyalgia is a chronic condition characterized by widespread pain alongside a broad range of non-pain symptoms. Its substantial impact on peoples’ lives and high prevalence mean that ensuring people with fibromyalgia receive evidence-based and appropriate care is a clinical and research priority. Whilst guidelines recommend that people with fibromyalgia receive a prompt diagnosis, care that focuses on non-pharmacological interventions, and in many countries should be predominantly managed in the community, existing evidence indicates they often wait many years for a diagnosis, commonly receive long-term opioid medicines, and see multiple hospital specialists.

Relevant databases will be searched, with 25% of screening, data extraction, and quality appraisal conducted by two reviewers. Eligible studies will have evaluated healthcare use in adults with fibromyalgia using data obtained from electronic health record, registry, or insurance databases (providing generalizable findings in large, representative datasets). Data will be synthesized using meta-analysis and/or synthesis without meta-analysis where possible.

By providing an in-depth analysis of healthcare use and its variation in people with fibromyalgia, the results from this systematic review could be used to benchmark practice, inform targeted management strategies to those with the highest levels of healthcare use (and therefore care need), and provide insight into whether certain countries require specific guideline/policy changes.

Increasing daylight exposure might be a simple way to improve mental health. However, little is known about daylight-symptom associations in depressive disorders.

In a subset of the Australian Genetics of Depression Study (N = 13,480; 75% female), we explored associations between self-reported number of hours spent in daylight on a typical workday and free day and seven symptom dimensions: depressive (overall, somatic, psychological); hypo-manic-like; psychotic-like; insomnia; and daytime sleepiness. Polygenic scores for major depressive disorder (MDD); bipolar disorder (BD); and schizophrenia (SCZ) were calculated. Models were adjusted for age, sex, shift work status, employment status, season, and educational attainment. Exploratory analyses examined age-stratified associations (18–24 years; 25–34 years; 35–64 years; 65 and older). Bonferroni-corrected associations (p < 0.004) are discussed.

Adults with depression reported spending a median of one hour in daylight on workdays and three hours on free days. More daylight exposure on workdays and free days was associated with lower depressive (overall, psychological, somatic) and insomnia symptoms (p’s<0.001), but higher hypo-manic-like symptoms (p’s<0.002). Genetic loading for MDD and SCZ were associated with less daylight exposure in unadjusted correlational analyses (effect sizes were not meaningful). Exploratory analyses revealed age-related heterogeneity. Among 18–24-year-olds, no symptom dimensions were associated with daylight. By contrast, for the older age groups, there was a pattern of more daylight exposure and lower insomnia symptoms (p < 0.003) (except for 25–34-year-olds on free days, p = 0.019); and lower depressive symptoms with more daylight on free days, and to some extent workdays (depending on the age-group).

Exploration of the causal status of daylight in depression is warranted.

Functional impairment is a major concern among those presenting to youth mental health services and can have a profound impact on long-term outcomes. Early recognition and prevention for those at risk of functional impairment is essential to guide effective youth mental health care. Yet, identifying those at risk is challenging and impacts the appropriate allocation of indicated prevention and early intervention strategies.

We developed a prognostic model to predict a young person’s social and occupational functional impairment trajectory over 3 months. The sample included 718 young people (12–25 years) engaged in youth mental health care. A Bayesian random effects model was designed using demographic and clinical factors and model performance was evaluated on held-out test data via 5-fold cross-validation.

Eight factors were identified as the optimal set for prediction: employment, education, or training status; self-harm; psychotic-like experiences; physical health comorbidity; childhood-onset syndrome; illness type; clinical stage; and circadian disturbances. The model had an acceptable area under the curve (AUC) of 0.70 (95% CI, 0.56–0.81) overall, indicating its utility for predicting functional impairment over 3 months. For those with good baseline functioning, it showed excellent performance (AUC = 0.80, 0.67–0.79) for identifying individuals at risk of deterioration.

We developed and validated a prognostic model for youth mental health services to predict functional impairment trajectories over a 3-month period. This model serves as a foundation for further tool development and demonstrates its potential to guide indicated prevention and early intervention for enhancing functional outcomes or preventing functional decline.

Understanding characteristics of healthcare personnel (HCP) with SARS-CoV-2 infection supports the development and prioritization of interventions to protect this important workforce. We report detailed characteristics of HCP who tested positive for SARS-CoV-2 from April 20, 2020 through December 31, 2021.

CDC collaborated with Emerging Infections Program sites in 10 states to interview HCP with SARS-CoV-2 infection (case-HCP) about their demographics, underlying medical conditions, healthcare roles, exposures, personal protective equipment (PPE) use, and COVID-19 vaccination status. We grouped case-HCP by healthcare role. To describe residential social vulnerability, we merged geocoded HCP residential addresses with CDC/ATSDR Social Vulnerability Index (SVI) values at the census tract level. We defined highest and lowest SVI quartiles as high and low social vulnerability, respectively.

Our analysis included 7,531 case-HCP. Most case-HCP with roles as certified nursing assistant (CNA) (444, 61.3%), medical assistant (252, 65.3%), or home healthcare worker (HHW) (225, 59.5%) reported their race and ethnicity as either non-Hispanic Black or Hispanic. More than one third of HHWs (166, 45.2%), CNAs (283, 41.7%), and medical assistants (138, 37.9%) reported a residential address in the high social vulnerability category. The proportion of case-HCP who reported using recommended PPE at all times when caring for patients with COVID-19 was lowest among HHWs compared with other roles.

To mitigate SARS-CoV-2 infection risk in healthcare settings, infection prevention, and control interventions should be specific to HCP roles and educational backgrounds. Additional interventions are needed to address high social vulnerability among HHWs, CNAs, and medical assistants.

Performance validity tests (PVTs) provide a methodological approach to detecting credible neurocognitive performances. This proves invaluable to the diagnostic process, as it allows neuropsychologists to objectively determine if an evaluation reflects a patient’s true neurocognitive abilities or if external factors are impacting the results. However, their addition to a testing battery can increase an already lengthy evaluation. As such, there is a need for sensitive but less time intensive PVTs. The purpose of this study is to validate the Coin-in-Hand (CIH) procedure as a quick and effective PVT within a veteran population.

68 English-speaking patients were identified from an outpatient neuropsychological assessment dataset. Performances were correlated to the well- validated Reliable Digit Span (RDS), and several other soft indicators of task engagement including expanded COWAT, BVMT-False Alarms (FA), WCST Failure to Maintain Set (FTM), TOMM, and the RBANS Effort Index (EI). All participants attempted CIH and RDS, testing was discontinued if 2 or more PVTs were invalid. An AUC analysis was conducted to determine how well the CIH discriminated between valid and invalid performance and determine the tests optimal cut-off score (sensitivity > 0.90 while maintaining the highest possible specificity). Logistic Regression was conducted to determine how well the CIH predicted performance validity.

Subject mean(SD) age and education were 55.25 (16.06) and 13.41 (2.55) years, respectively. 17% female, 60% Caucasian, and 32% Black. Descriptive statistics for each of the other performance validity tests were gathered. The CIH demonstrated low diagnostic accuracy (AUC = .66; p >.05; CI = .51 -.81); a cut score of <8 resulted in a sensitivity of .96 and a specificty of .64. Logistic Regression showed that CIH performance significantly predicted performance validity (X2 = -0.93; df = 1; N = 68; p < .05), accounting for 18-28% of the variance in performance classification (Cox & Snell R2 = .18; Nagelkerke R2 = .28). It correctly classified 96% of valid performers, but only correctly classified 35% of invalid performers, with an overall correct prediction rate of 83%. A predicted chase in log odds (B= -.93) and odd ratio [Exp (B) =.40] indicated that every unit increase in CIH score was associated with a decrease probability of performance invalidity. Logistic regression was also used to calculate the probability of performance invalidity at each possible CIH score (Table 1).

Results suggests that poor performance on CIH does not necessarily equate to invalid performances, but instead, should act as a screener to cue neuropsychologists working with Veterans that additional PVTs should be considered. Overall, it was determined that CIH was able to correctly predict 35% of invalid performers and 96% of valid performers, with an overall correct prediction rate of 83%, suggesting the procedure may be too simple to be an effective standalone PVT for clinical use. These results also highlight that every correct response on the CIH was associated with a decreased probability of performance invalidity. Additionally, an AUC analysis determined the tests optimal cut off score to be <8, suggesting that shortening the procedure may be as effective as giving the full 10 trials.

Explore the relationship between a motor programming and sequencing procedure and informant rating of patients' functional abilities, especially driving. The Fist-Edge-Palm (FEP; Luria, 1970; 1980) task has previously demonstrated merit distinguishing between healthy controls and those with neurodegenerative processes (Weiner et al., 2011). However, associations between FEP performance and informant-rated functional status, particularly driving ability, have been minimally reported. This exploratory review examined the relationship between FEP, informant-rated driving ability, overall functional impairment, and neurocognitive diagnostic severity.

41 Veterans seen in a South-Central VA Memory Clinic between 08/2020 and 07/2022 served as participants. Neuropsychological assessment included gathering demographic information, chairside neurobehavioral examination (including FEP), cognitive testing, and collateral informant completed Functional Activities Questionnaire (FAQ). Diagnostic severity [no diagnosis, mild cognitive impairment (MCI), dementia (MNCD)] was determined based on the patient's cognitive and functional deficits as measured by neuropsychological testing and informant-rated functional deficits. Correlational analyses were conducted to examine the strength of possible relationships between FEP performance, diagnostic severity, informant-rated functional status including driving impairment. Linear regression analyses determined the extent to which diagnostic severity and FEP performance predict informant-reported driving and ADL impairments

Participants were 97.5% male, 78% white, 22% black. Diagnostically, 3 patients received no diagnoses, 14 with MCI, and 24 with MNCD. Spearman rank correlations were computed; FEP performance was moderately negatively correlated with diagnostic severity [rho = -.35; p < .05] and driving impairment [rho = -.31; p < .05]. Diagnostic severity was moderately positively correlated with driving [rho= .44; p < .05] and total functional [rho = .65; p < .05] impairment. Total functional impairment positively correlated with reported driving impairment [rho = .58; p < .05]. Simple linear regressions tested if FEP performance and diagnostic severity independently predicted informant-reported driving and functional impairment. FEP performance predicted diagnostic severity (R2 = .12, p < .05) and reported driving impairment severity (R2 = .10, p <.05) but did not predict total functional impairment severity (R2 = .06, p = .14). Diagnostic severity predicted both informant-reported driving impairment severity (R2 = .16, p <.05) and functional severity (R2 = .30, p < .05). Multiple regression tested if diagnostic severity and FEP performance together was more predictive of driving and functional impairment than individually; the overall model was predictive of driving (R2 = .19, p < .05) and total functional (R2 = .30, p < .05) impairment, but only diagnostic severity significantly predicted reported driving (B = .63, p < .05) and functional (B = 6.25, p < .05) impairments.

FEP performance was associated with diagnosis and collateral informant concerns of patient driving ability but not statistically related to overall functional impairment or nondriving related ADLs. FEP demonstrates utility in identification of patients demonstrating concerning driving fitness per collateral informants and diagnostic severity due to rapidity of administration, ease of instructing providers, and implementation in a wide variety of clinical settings when a caregiver or informant may not be available. Future directions include explaining the relationship between FEP and driving ability and exploring associations between FEP and other neuropsychological instruments.