Background: Population groups experience differential access to timely and high-quality mental healthcare. Despite efforts of recent UK policies to improve the accessibility of mental health services, there remains a lack of comprehensive understanding of inequalities in access to services needed to do this. This systematic mapping review aimed to address this gap by identifying which population groups continue to be poorly served by access to adult mental health services in the UK, how access has been measured, and what research methods have been applied. Methods: Seven electronic databases were searched from January 2014 up to May 2022. Primary research studies of any design were included if they examined access to adult NHS mental health services in the UK by population groups at risk of experiencing inequalities. Study characteristics, measures of access, inequalities studied, and key findings were extracted. A best-fit framework approach was used, applying Levesque’s Conceptual Framework for Healthcare Access to synthesise measures of access, and applying a template derived from Cochrane Progress-Plus and NHS Long Term Plan equality characteristics to synthesise key findings associated with inequalities. Results: Of 1,929 publications retrieved, 152 studies of various types were included. The most frequently considered dimensions of inequality were gender, age, and ethnicity, whilst social capital, religion, and sexual orientation were least frequently considered. Most studies researched access by measuring “healthcare utilisation”, followed by studies that measured “healthcare seeking”. Key barriers to access were associated with individuals’ “ability to seek” (e.g. stigma and discrimination) and “ability to reach” (e.g. availability of services). Almost half of the studies used routinely collected patient data, and only 16% of studies reported patient and public involvement. Conclusions: Little appears to have changed in the nature and extent of inequalities, suggesting that mental health services have not become more accessible. Actions to reduce inequalities should address barriers to population groups’ abilities to seek and reach services such as stigma-reducing interventions, and re-designing services and pathways. Significant benefits exist in using routinely collected patient data, but its limitations should not be ignored. More theoretically informed research, using a holistic measurement of access, is needed in this area. Review registration: https://doi.org/10.17605/OSF.IO/RQ5U7.

Neurofilament light chain (NFL) is elevated in neurodegenerative diseases, including Parkinson’s disease (PD). This study aimed to investigate serum NFL in newly diagnosed PD and its association with cognitive and motor decline over 10 years. Serum NFL levels were measured in PD patients and controls from the ParkWest study at diagnosis (baseline) and after 3 and 5 years. Mixed-effects regression analyzed changes in NFL and the association with annual changes in MMSE and UPDRS-III scores over 10 years. PD patients had elevated serum NFL at all visits and a faster annual increase over 5 years compared to controls (0.09 pg/mL per year; p = 0.029). Higher baseline NFL predicted faster cognitive decline β −0.77 transformed MMSE; p = 0.010), and a 40% NFL increase predicted future motor decline (β 0.28 UPDRS-III; p = 0.004). Elevated serum NFL in early PD is linked to faster cognitive and motor impairment, suggesting its prognostic value in PD biomarker panels.

Random-Intercept Cross-Lagged Panel Models allow for the decomposition of measurements into between- and within-person components and have hence become popular for testing developmental hypotheses. Here, we describe how developmental researchers can implement, test and interpret dynamic interaction effects in such models using an empirical example from developmental psychopathology research. We illustrate the analysis of Within × Within and Between × Within interactions utilising data from the United Kingdom-based Millennium Cohort Study within a Bayesian Structural Equation Modelling framework. We provide annotated Mplus code, allowing users to better isolate, estimate and interpret the complexities of within-person and between person dynamics as they unfold over time.

Introduction: Facemask ventilation is a crucial, but challenging, element of neonatal resuscitation. In a previously reported study, instructor-led training using a novel neonatal simulator resulted in high-level ventilation competence for health care providers (HCPs) involved in newborn resuscitation. The aim of this study was to identify the optimal frequency and dose of simulation training to maintain this competence level. Methods: Prospective observational study of HCPs training through 9 months. All training was logged. Overall ventilation competence scores were calculated for each simulation case, incorporating 7 skill elements considered important for effective ventilation. Overall scores and skill elements were analyzed by generalized linear mixed effects models using frequency (number of months of 9 where training occurred and total number of training sessions in 9 months) and dose (total number of cases performed) as predictors. Training loads (frequency + dose) predictive of high scores were projected based on estimated marginal probabilities of successful outcomes. Results: A total of 156 HCPs performed 4348 training cases. Performing 5 or more sessions in 9 months predicted high global competence scores (>28/30). Frequency was the best predictor for 4 skill elements; success in maintaining airway patency and ventilation fraction was predicted by performing training in, respectively, 2 and 3 months of 9, whereas for avoiding dangerously high inflating pressures and providing adequate mask seal, 5 and 6 sessions, respectively, over the 9 months, predicted success. Skills reflecting global performance (successful resuscitation and valid ventilations) and ventilation rate were more dose-dependent. Conclusions: Training frequency is important in maintaining neonatal ventilation competence. Training dose is important for some skill elements. This offers the potential for individualized training schedules.