This study investigated the influence of socioeconomic factors on the incidence of laryngomalacia in paediatric in-patients.

Data from the 2016 Healthcare Cost and Utilization Project Kid Inpatient Database were analysed. Variables included zip code median income, race and/or ethnicity, primary expected payer and associated International Statistical Classification of Diseases and Related Health Problems 10th Revision codes in admission.

Lower median income zip codes showed a 6.4 per cent increase in laryngomalacia admissions, while higher-income zip codes had an 8.0 per cent decrease. Black patients exhibited a 24.5 per cent increase and Asian or Pacific Islander patients showed a 42.5 per cent decrease in laryngomalacia admissions. Medicaid and other government programme payers had a 22.1 per cent increase, while Medicare, private insurance and self-pay patients had decreases of 35.5, 20.9 and 55.7 per cent, respectively. Laryngomalacia was associated with a number of disease processes from a multitude of organ systems in a statistically significant manor.

Socioeconomic status, race, primary expected payer and co-morbid disease process significantly impact laryngomalacia admissions.

Demonstrating the impact of implementation science presents a new frontier for the field, and operationalizing downstream impact is challenging. The Translational Science Benefits Model (TSBM) offers a new approach for assessing and demonstrating research impact. Here we describe integration of the TSBM into a mentored training network.

Washington University’s Clinical and Translational Science Awards TSBM team collaborated with a National Institute of Mental Health-supported training program, the Implementation Research Institute (IRI), a 2-year training institute in mental health implementation science. This partnership included three phases: (1) introductory workshop on research impact, (2) workshop on demonstrating impact, and (3) sessions to guide dissemination, including interactive tools and consultation with the TSBM research team. Fifteen IRI alumni were invited to participate in the pilot; six responded agreeing to participate in the training, develop TSBM case studies, and provide feedback about their experiences. Participants applied the tools and gave feedback on design, usability, and content. We present their case studies and describe how the IRI used the results to incorporate TSBM into future trainings.

The case studies identified 40 benefits spanning all four TSBM domains, including 21 community, 11 policy, five economic, and three clinical benefits. Participants reported that TSBM training helped them develop a framework for talking about impact. Selecting benefits was challenging for early-stage projects, suggesting the importance of early training.

The case studies showcased the institute’s impact and the fellows’ work and informed refinement of tools and methods for incorporating TSBM into future IRI training.

COVID-19 has resurfaced health inequalities but also provides new opportunities for remote healthcare. Minority ethnic service users (SUs) are substantially under-represented in secondary mental health services due to gaps in understanding needs of this priority group. We aimed to assess and identify any differences in characteristics and acceptability, with a focus on minority ethnic mental health SUs.

A prospective, online feedback questionnaire was developed with the help of SUs. This was built into video consultations (VCs), using the secure Attend Anywhere platform through a survey link. We present results between July 2020 and January 2022, during which, a total of 2,565 SUs completed the online questionnaire after VCs. SPSS (version 27) was used for descriptive statistical analysis. Chi-squared test, using 5% level of significance, was conducted to test differences between the two (minority Vs majority ethnic) SU groups.

Of 2,565 SUs, 119 (4.6%) were from minority ethnic groups (Asian British, Mixed/multiple, Black British, and Other), 2,398 (93.5%) were White British, and 48 (1.9%) preferred not to disclose. A higher percentage of SUs were females from both minority (55.6%) and White British (66.1%) ethnic groups (ϰ2=5.476, p < 0.05). By age group, almost half (48.7%) of minority ethnic SUs were less than 25 years old, compared with those from White British ethnicity (29.2%). In contrast, only 2.5% minority ethnic SUs were aged ≥65 years with none ≥80 years old (ϰ2 Likelihood Ratio = 27.11, p < 0.001).

No significant differences were found for video technical quality, such as waiting area, joining the video call, sound, and video quality. Similar findings were observed for video care delivery aspects with no significant differences between (minority ethnic and White British) SUs. Overall, both groups felt comfortable during the video call (ϰ2=0.137, p > 0.05), their needs were met (ϰ2=0.384, p > 0.05) and felt supported (ϰ2=0.164, p > 0.05). However, according to care team, a significantly higher percentage of minority ethnic SUs (43%) had remotely consulted Specialist (Eating disorders, Well-being/IAPT) services compared with those of majority ethnicity (29%) (ϰ2 Likelihood Ratio = 21.936, p < 0.05).

Both minority ethnic and White British SUs found video care to be acceptable, with positive experiences. A significantly high proportion of minority ethnic SUs was younger and had remotely consulted Specialist services, with none in the 80-plus age group. These findings highlight priority areas to address among this massively underrepresented group in mental healthcare services.

Recent well-powered genome-wide association studies have enhanced prediction of substance use outcomes via polygenic scores (PGSs). Here, we test (1) whether these scores contribute to prediction over-and-above family history, (2) the extent to which PGS prediction reflects inherited genetic variation v. demography (population stratification and assortative mating) and indirect genetic effects of parents (genetic nurture), and (3) whether PGS prediction is mediated by behavioral disinhibition prior to substance use onset.

PGSs for alcohol, cannabis, and nicotine use/use disorder were calculated for Minnesota Twin Family Study participants (N = 2483, 1565 monozygotic/918 dizygotic). Twins' parents were assessed for histories of substance use disorder. Twins were assessed for behavioral disinhibition at age 11 and substance use from ages 14 to 24. PGS prediction of substance use was examined using linear mixed-effects, within-twin pair, and structural equation models.

Nearly all PGS measures were associated with multiple types of substance use independently of family history. However, most within-pair PGS prediction estimates were substantially smaller than the corresponding between-pair estimates, suggesting that prediction is driven in part by demography and indirect genetic effects of parents. Path analyses indicated the effects of both PGSs and family history on substance use were mediated via disinhibition in preadolescence.

PGSs capturing risk of substance use and use disorder can be combined with family history measures to augment prediction of substance use outcomes. Results highlight indirect sources of genetic associations and preadolescent elevations in behavioral disinhibition as two routes through which these scores may relate to substance use.

Major depressive disorder (MDD) and chronic pain are highly comorbid, and pain symptoms are associated with a poorer response to antidepressant medication treatment. It is unclear whether comorbid pain also is associated with a poorer response to treatment with repetitive transcranial magnetic stimulation (rTMS).

162 MDD subjects received 30 sessions of 10 Hz rTMS treatment administered to the left dorsolateral prefrontal cortex (DLPFC) with depression and pain symptoms measured before and after treatment. For a subset of 96 patients, a resting-state electroencephalogram (EEG) was recorded at baseline. Clinical outcome was compared between subjects with and without comorbid pain, and the relationships among outcome, pain severity, individual peak alpha frequency (PAF), and PAF phase-coherence in the EEG were examined.

64.8% of all subjects reported pain, and both depressive and pain symptoms were significantly reduced after rTMS treatment, irrespective of age or gender. Patients with severe pain were 27% less likely to respond to MDD treatment than pain-free individuals. PAF was positively associated with pain severity. PAF phase-coherence in the somatosensory and default mode networks was significantly lower for MDD subjects with pain who failed to respond to MDD treatment.

Pain symptoms improved after rTMS to left DLPFC in MDD irrespective of age or gender, although the presence of chronic pain symptoms reduced the likelihood of treatment response. Individual PAF and baseline phase-coherence in the sensorimotor and midline regions may represent predictors of rTMS treatment outcome in comorbid pain and MDD.

Video-delivered care is a rapidly emerging area with potential to transform assessment and treatment strategies. The coronavirus (COVID-19) pandemic has accelerated these changes. Limited evidence exists for experiences of video care in secondary mental health services. We aimed to assess the acceptability of video care in mental health clinical practice during COVID-19.

Structured questionnaires were developed with the help of patients and clinicians. The patient experience questionnaire was built into video sessions and completed online, using the Attend Anywhere (AA) platform from July 2020 to March 2021. A Trust-wide clinician views and experiences survey was conducted from July 2020 to October 2020. Descriptive analysis was performed using SPSS (version 27.0).

Of 1,296 patients who completed the online feedback, the majority provided positive feedback for all aspects of video care. Most patients felt their needs were met (90%) and were supported (93%) during the video call. Positive experiences were informed by clinicians’ communication skills. For future appointments, just over half (51.7%) of patients preferred using video calls, followed by face-to-face (33%). Future video preference was informed by reasons reducing social anxiety and practical aspects such as child/carer needs, physical disability and travel.

Of 252 clinicians completing the survey, 161 (64.7%) had used video for remote care delivery. Clinicians also provided positive feedback, with Microsoft-teams as the preferred platform. Most clinicians felt the therapeutic relationship (76.4%) and privacy (78.7%) were maintained using video. While 73% felt there were no safeguarding issues that impacted adversely, 30% felt that care quality was affected, and (69.9%) reported limited visual cues for video calls. Most clinicians (73%) felt confident about clinical decision-making remotely, though there were areas where clinicians felt less confident, such as assessing patients’ appearance and behaviour. Additionally, compared with face-to-face, video consultations seemed to be effective for social anxiety, but less so for Autism spectrum disorders, and with no perceived difference for depression or self harm. For future, more clinicians preferred face-to-face (40.1%) than video care (36.1%).

Mental health care delivered remotely via video is experienced positively by patients and clinicians alike. However, clinicians felt that quality of care is impacted, and additional remote clinical skills training may be beneficial. Going forward, there is acceptability for the use of video care in routine mental health practice for certain mental health presentations.

Around 40% of people with bipolar disorder (BD) are non-adherent to medication leading to relapse, hospitalisation and increased suicide risk. Limited progress in addressing non-adherence may be partly attributable to insufficient understanding of the modifiable determinants of adherence that require targeting in interventions. We synthesised the modifiable determinants of adherence in BD and map them to the theoretical domains framework (TDF).

We searched CINAHL, Cochrane Library, Embase, LILACS, Medline, PsychINFO and PubMed until February 2020. We included studies reporting modifiable determinants of adherence in BD. Two reviewers independently screened studies, assessed quality, extracted modifiable determinants and mapped them to TDF.

We included 57 studies involving 32 894 participants. Determinants reported by patients spanned 11 of the 14 TDF domains compared to six domains represented by clinician/researcher. The TDF domains most commonly represented (% and example) in studies were: ‘Environmental context and resources’ (63%, e.g. experiencing side effects), ‘Beliefs about consequences’ (63%, e.g. beliefs about medication effects), ‘Knowledge’ (40%, e.g. knowledge about disorder), ‘Social influences’ (33%, e.g. support from family/clinicians), ‘Memory, attention and decision processes’ (33%, e.g. forgetfulness), ‘Emotion’ (21%, e.g. fear of addiction) and ‘Intentions’ (21%, e.g. wanting alternative treatment). ‘Intentions’, ‘Memory, attention and decision processes’ and ‘Emotion’ domains were only reported by patients but not clinicians.

Clinicians may be underappreciating the full range of modifiable determinants of adherence and thus not providing adherence support reflective of patients' needs. Reporting of modifiable determinants in behavioural terms facilitates developing theory-based interventions to address non-adherence in BD.

There is increasing evidence of a strong association between sleep and mental health in both adolescents and adults. CBT for insomnia is being applied to good effect with adults with mental health difficulties but there are few studies examining its applicability to adolescents within mental health services.

We carried out a case series analysis (n = 15) looking at the feasibility, accessibility and impact of a low-intensity sleep intervention for young people (14–25 years) being seen by a secondary care Youth Mental Health team in the UK. The intervention was based on cognitive behavioural therapy for insomnia (CBTi) and acceptance and commitment therapy (ACT) approaches and involved six individual sessions delivered on a weekly basis by a graduate psychologist. Routine outcome measures were used to monitor insomnia, psychological distress and functioning with assessments at baseline, session 3, session 6 and at 4 weeks after end of intervention. All participants scored in the clinical range for insomnia at the start of the study.

High uptake, attendance and measure completion rates were observed. Large effect sizes were observed for insomnia, psychological distress and functioning. Twelve of the fifteen participants (80%) no longer scored above threshold for insomnia at follow-up. All seven under-18s no longer met threshold for clinical ‘caseness’ on the Revised Child Anxiety and Depression Scale (RCADS) at follow-up.

The findings suggest that the intervention was well accepted by young people and feasible to apply within a secondary care setting. Strong effect sizes are encouraging but are probably inflated by the small sample size, uncontrolled design and unblinded assessments.