AVATAR therapy, a digitally supported intervention, utilises avatars to promote recovery in people who experience distressing auditory hallucinations. This approach was recently evaluated in a multicentre randomised controlled trial comparing brief (AV-BRF) and extended (AV-EXT) forms of therapy with treatment as usual (TAU). There was evidence for the effectiveness of therapy, particularly for AV-EXT. However, value for money needs to be assessed.

To compare separately the cost utility of the brief and extended forms of AVATAR therapy with TAU.

In a three-arm randomised controlled trial the use of health services was measured, and costs (2021/2022; pounds sterling) calculated from a health and social care perspective over a 28-week follow-up period. Quality-adjusted life years (QALYs; derived from the 5-level version of the EuroQol 5-Dimension questionnaire) were combined with costs.

AV-BRF resulted in extra costs of £319 (95% CI, −£1558 to £2496), and AV-EXT in lower costs of £1965 (95% CI, −£1912 to £1519), compared with TAU. Over the follow-up, AV-BRF resulted in 0.0159 (95% CI, −0.0103 to 0.0422) and AV-EXT in 0.0173 (95% CI, −0.0049 to 0.0395) more QALYs than TAU. The cost per QALY for AV-BRF compared with TAU was £20 016, while AV-EXT dominated TAU (lower costs and more QALYs).

Neither version of AVATAR had a substantial impact on QALYs. However, AV-EXT did result in reduced care costs − albeit not statistically significant − and was potentially cost-effective compared with TAU. AV-BRF had an incremental cost-effectiveness ratio that indicated lower potential cost-effectiveness. These findings are uncertain, but could still inform decision-making regarding interventions in this field.

Depressive symptoms are common in mild cognitive impairment (MCI). These may be associated with poorer cognitive function and increased risks of dementia transition.

We aimed to examine the cognitive patterns associated with variations in depressive symptoms in neurodegenerative MCI without a primary mood disorder.

Individuals with MCI (n = 123), including MCI due to Alzheimer’s disease (n = 54) and MCI with Lewy bodies (n = 69), underwent repeated annual assessment of cognitive function and concurrent depressive symptoms using the Addenbrooke’s Cognitive Examination-Revised and the Geriatric Depression Scale-15, respectively.

Between- and within-person differences in depressive symptoms were disaggregated and related to between- and within-person cognitive differences and modification of cognitive performance trajectories over time.

There was strong evidence of a state-based association between depressive symptoms and cognitive function. Intra-individual differences in depressive symptoms were negatively associated with concurrent cognitive performance such that a 2-point increase in depressive score explained a 1-point decrease in cognitive score, on average (point estimate −0.56, 95% credibile interval (CrI) −1.05 to −0.08).

The data did not support a trait-based association between depressive symptoms and cognitive performance (point estimate 0.10, 95% CrI −0.42 to 0.59), nor any between- or within-person trajectory modification associated with depressive symptoms.

Within-person variations in depressive symptom severity are associated with acute cognitive performance differences. Cognitive scores derived during active depressive periods may underestimate longer-term cognitive capabilities. Treating depressive symptoms in MCI may clarify underlying cognitive performance capacity, and help maintain optimal cognitive function for longer.

The heterogeneity of chronic post-COVID neuropsychiatric symptoms (PCNPS), especially after infection by the Omicron strain, has not been adequately explored.

To explore the clustering pattern of chronic PCNPS in a cohort of patients having their first COVID infection during the ‘Omicron wave’ and discover phenotypes of patients based on their symptoms’ patterns using a pre-registered protocol.

We assessed 1205 eligible subjects in Hong Kong using app-based questionnaires and cognitive tasks.

Partial network analysis of chronic PCNPS in this cohort produced two major symptom clusters (cognitive complaint–fatigue and anxiety–depression) and a minor headache–dizziness cluster, like our pre-Omicron cohort. Participants with high numbers of symptoms could be further grouped into two distinct phenotypes: a cognitive complaint–fatigue predominant phenotype and another with symptoms across multiple clusters. Multiple logistic regression showed that both phenotypes were predicted by the level of pre-infection deprivation (adjusted P-values of 0.025 and 0.0054, respectively). The severity of acute COVID (adjusted P = 0.023) and the number of pre-existing medical conditions predicted only the cognitive complaint–fatigue predominant phenotype (adjusted P = 0.003), and past suicidal ideas predicted only the symptoms across multiple clusters phenotype (adjusted P < 0.001). Pre-infection vaccination status did not predict either phenotype.

Our findings suggest that we should pursue a phenotype-driven approach with holistic biopsychosocial perspectives in disentangling the heterogeneity under the umbrella of chronic PCNPS. Management of patients complaining of chronic PCNPS should be stratified according to their phenotypes. Clinicians should recognise that depression and anxiety cannot explain all chronic post-COVID cognitive symptoms.

Patients with posttraumatic stress disorder (PTSD) exhibit smaller regional brain volumes in commonly reported regions including the amygdala and hippocampus, regions associated with fear and memory processing. In the current study, we have conducted a voxel-based morphometry (VBM) meta-analysis using whole-brain statistical maps with neuroimaging data from the ENIGMA-PGC PTSD working group.

T1-weighted structural neuroimaging scans from 36 cohorts (PTSD n = 1309; controls n = 2198) were processed using a standardized VBM pipeline (ENIGMA-VBM tool). We meta-analyzed the resulting statistical maps for voxel-wise differences in gray matter (GM) and white matter (WM) volumes between PTSD patients and controls, performed subgroup analyses considering the trauma exposure of the controls, and examined associations between regional brain volumes and clinical variables including PTSD (CAPS-4/5, PCL-5) and depression severity (BDI-II, PHQ-9).

PTSD patients exhibited smaller GM volumes across the frontal and temporal lobes, and cerebellum, with the most significant effect in the left cerebellum (Hedges’ g = 0.22, pcorrected = .001), and smaller cerebellar WM volume (peak Hedges’ g = 0.14, pcorrected = .008). We observed similar regional differences when comparing patients to trauma-exposed controls, suggesting these structural abnormalities may be specific to PTSD. Regression analyses revealed PTSD severity was negatively associated with GM volumes within the cerebellum (pcorrected = .003), while depression severity was negatively associated with GM volumes within the cerebellum and superior frontal gyrus in patients (pcorrected = .001).

PTSD patients exhibited widespread, regional differences in brain volumes where greater regional deficits appeared to reflect more severe symptoms. Our findings add to the growing literature implicating the cerebellum in PTSD psychopathology.

Mild cognitive impairment with Lewy bodies (MCI-LB) may be identified prospectively based on the presence of cognitive impairment and several core clinical features (visual hallucinations, cognitive fluctuations, parkinsonism, and REM sleep behavior disorder). MCI-LB may vary in its presenting features, which may reflect differences in underlying pathological pattern, severity, or comorbidity.

We aimed to assess how clinical features of MCI-LB accumulate over time, and whether this is associated with the rate of cognitive decline.

In this cohort study, 74 individuals seen with MCI-LB prospectively underwent repeated annual cognitive and clinical assessment up to nine years. Relationships between clinical features (number of core features present and specific features present) and cognitive change on the Addenbrooke’s Cognitive Examination–Revised (ACE-R) were examined with time-varying mixed models. The accumulation of core clinical features over time was examined with a multi-state Markov model.

When an individual with MCI-LB endorsed more clinical features, they typically experienced a faster cognitive decline (ACE-R Score Difference β = −1.1 [−1.7 to −0.5]), specifically when experiencing visual hallucinations (β = −2.1 [−3.5 to −0.8]) or cognitive fluctuations (β = −3.4 [−4.8 to −2.1]).

Individuals with MCI-LB typically acquired more clinical features with the passage of time (25.5% [20.0–32.0%] one-year probability), limiting the prognostic utility of baseline-only features.

The clinical presentation of MCI-LB may evolve over time. The accumulation of more clinical features of Lewy body disease, in particular visual hallucinations and cognitive fluctuations, may be associated with a worse prognosis in clinical settings.

Our overall goal was to enhance the usability and interactivity of the RE-AIM website (re-aim.org) and improve resources to support the application of the RE-AIM framework within the context of dissemination & implementation (D&I) research and practice.

We applied a mixed-methods approach to obtain user feedback from 24 D&I researchers and practitioners. Usability (System Usability Scale) and interactivity (Interactivity Scale) were assessed through validated surveys, at baseline and after two iterative rounds of website modifications (Phase 1 and Phase 2). We also conducted qualitative assessments at each phase.

Qualitative baseline and Phase 1 findings indicated a need to simplify organization, enhance information accessibility, provide concrete guidance on applying RE-AIM, and clarify contextual factors related to RE-AIM constructs. After streamlining website and homepage organization, Phase 2 qualitative results suggested improved user navigation experience; users also requested greater interactivity. Modifications included: new interactive planning tool and a video introduction of contextual factors influencing RE-AIM outcomes. Significant improvements were found in the SUS score from baseline to Phase 1(64.2[SD18.7] to 80.8 [SD 12.1] (p < .05) and remained higher in Phase 2(77.1[SD 15] (p = 0.08). Interactivity also improved from baseline to Phase 2(3.5[SD1.2] to 41[0.9], though not statistically significant.

User-centered feedback on online resources, as exemplified by this use case example of enhancements to the RE-AIM website, are important in bridging the gap between research and practice, and the revised website should be more accessible and useful to users.

A diagnostic label can have harms and benefits, particularly when provided following routine health screening tests. Whether these are discussed in clinical encounters is unknown.

To investigate whether potential impacts of diagnostic labelling are discussed before routine screening for non-cancer health conditions and explore the perceived value of such discussions by general practitioners (GPs) and healthcare consumers.

Eleven semi-structured interviews with GPs and two focus groups with eight consumers were conducted. Interviews and focus groups were audio-recorded, transcribed and analysed using thematic analysis methods based on framework analysis.

Prior to routine screening, most GPs did not discuss the potential consequences of diagnostic labelling, and no consumer recalled discussions of this nature. In contrast, many GPs provided information regarding the screening procedure and possible test limitations. Both GPs and consumers identified that it would be valuable to discuss the potential impacts of a diagnostic label; however, preferences varied as to the content and timing (i.e. before or after screening) of this discussion. Six themes that examine the utility of discussing the consequences of diagnostic labelling were identified: patient empowerment, patient variability, condition-specific information, GP and patient interactions and relationship, GP role and responsibilities, and characteristics of screening.

The practice and perceived value of discussing diagnostic labelling consequences were recognised as important by both GPs and consumers. However, preferences regarding the content of discussions and whether these occurred in clinical encounters before or after screening varied.