Informal carers (unpaid family members and friends), are critical to millions worldwide for the ongoing delivery of health and well-being needs. However, the physical and mental wellbeing of caregivers is often poor including low levels of physical activity, frequently owed to contributing factors such as lack of time, lack of support and motivation. Thus, accessible evidence-based tools to facilitate physical activity for carers are urgently needed.

The aim of this study was to co-design and develop a novel mobile app to educate and support carers in the undertaking of regular physical activity. This is achieved via integration of the transtheoretical model of behaviour change and UK physical activity guidelines across 8 weeks of use.

We co-designed a mobile app, “CareFit,” by directly involving caregivers, health care professionals, and social care professionals in the requirements, capturing, and evaluation phases across a number of Agile Scrum development sprints. Requirements for CareFit were grounded in a combination of behavioural change science and UK government physical activity guidelines.

Participants identified different barriers and enablers to physical activity, such as a lack of time, recognition of existing activities, and concerns regarding safely undertaking physical activity. Requirements analysis highlighted the importance of simplicity in design and a need to anchor development around the everyday needs of caregivers (eg, easy-to-use video instructions, reducing text). Our final prototype app integrated guidance for undertaking physical activity at home through educational, physical activity, and communication components.

Integrating government guidelines with models of behavioural change into a mobile app to support the physical activity of carers is novel and holds future promise. Integrating core physical activity guidelines into a co-designed smartphone app with functionality such as a weekly planner and educational material for users is feasible acceptable and usable. Here we will document the latest developments on the project including an ongoing national study currently taking place in Scotland to test the prototype with 50 carers.

The prevalence of medical illnesses is high among patients with psychiatric disorders. The current study aimed to investigate multi-comorbidity in patients with psychiatric disorders in comparison to the general population. Secondary aims were to investigate factors associated with metabolic syndrome and treatment appropriateness of mental disorders.

The sample included 54,826 subjects (64.73% females; 34.15% males; 1.11% nonbinary gender) from 40 countries (COMET-G study). The analysis was based on the registration of previous history that could serve as a fair approximation for the lifetime prevalence of various medical conditions.

About 24.5% reported a history of somatic and 26.14% of mental disorders. Mental disorders were by far the most prevalent group of medical conditions. Comorbidity of any somatic with any mental disorder was reported by 8.21%. One-third to almost two-thirds of somatic patients were also suffering from a mental disorder depending on the severity and multicomorbidity. Bipolar and psychotic patients and to a lesser extent depressives, manifested an earlier (15–20 years) manifestation of somatic multicomorbidity, severe disability, and probably earlier death. The overwhelming majority of patients with mental disorders were not receiving treatment or were being treated in a way that was not recommended. Antipsychotics and antidepressants were not related to the development of metabolic syndrome.

The finding that one-third to almost two-thirds of somatic patients also suffered from a mental disorder strongly suggests that psychiatry is the field with the most trans-specialty and interdisciplinary value and application points to the importance of teaching psychiatry and mental health in medical schools and also to the need for more technocratically oriented training of psychiatric residents.

Cohort studies demonstrate that people who later develop schizophrenia, on average, present with mild cognitive deficits in childhood and endure a decline in adolescence and adulthood. Yet, tremendous heterogeneity exists during the course of psychotic disorders, including the prodromal period. Individuals identified to be in this period (known as CHR-P) are at heightened risk for developing psychosis (~35%) and begin to exhibit cognitive deficits. Cognitive impairments in CHR-P (as a singular group) appear to be relatively stable or ameliorate over time. A sizeable proportion has been described to decline on measures related to processing speed or verbal learning. The purpose of this analysis is to use data-driven approaches to identify latent subgroups among CHR-P based on cognitive trajectories. This will yield a clearer understanding of the timing and presentation of both general and domain-specific deficits.

Participants included 684 young people at CHR-P (ages 12–35) from the second cohort of the North American Prodromal Longitudinal Study. Performance on the MATRICS Consensus Cognitive Battery (MCCB) and the Wechsler Abbreviated Scale of Intelligence (WASI-I) was assessed at baseline, 12-, and 24-months. Tested MCCB domains include verbal learning, speed of processing, working memory, and reasoning & problem-solving. Sex- and age-based norms were utilized. The Oral Reading subtest on the Wide Range Achievement Test (WRAT4) indexed pre-morbid IQ at baseline. Latent class mixture models were used to identify distinct trajectories of cognitive performance across two years. One- to 5-class solutions were compared to decide the best solution. This determination depended on goodness-of-fit metrics, interpretability of latent trajectories, and proportion of subgroup membership (>5%).

A one-class solution was found for WASI-I Full-Scale IQ, as people at CHR-P predominantly demonstrated an average IQ that increased gradually over time. For individual domains, one-class solutions also best fit the trajectories for speed of processing, verbal learning, and working memory domains. Two distinct subgroups were identified on one of the executive functioning domains, reasoning and problem-solving (NAB Mazes). The sample divided into unimpaired performance with mild improvement over time (Class I, 74%) and persistent performance two standard deviations below average (Class II, 26%). Between these classes, no significant differences were found for biological sex, age, years of education, or likelihood of conversion to psychosis (OR = 1.68, 95% CI 0.86 to 3.14). Individuals assigned to Class II did demonstrate a lower WASI-I IQ at baseline (96.3 vs. 106.3) and a lower premorbid IQ (100.8 vs. 106.2).

Youth at CHR-P demonstrate relatively homogeneous trajectories across time in terms of general cognition and most individual domains. In contrast, two distinct subgroups were observed with higher cognitive skills involving planning and foresight, and they notably exist independent of conversion outcome. Overall, these findings replicate and extend results from a recently published latent class analysis that examined 12-month trajectories among CHR-P using a different cognitive battery (Allott et al., 2022). Findings inform which individuals at CHR-P may be most likely to benefit from cognitive remediation and can inform about the substrates of deficits by establishing meaningful subtypes.

Clinical implementation of risk calculator models in the clinical high-risk for psychosis (CHR-P) population has been hindered by heterogeneous risk distributions across study cohorts which could be attributed to pre-ascertainment illness progression. To examine this, we tested whether the duration of attenuated psychotic symptom (APS) worsening prior to baseline moderated performance of the North American prodrome longitudinal study 2 (NAPLS2) risk calculator. We also examined whether rates of cortical thinning, another marker of illness progression, bolstered clinical prediction models.

Participants from both the NAPLS2 and NAPLS3 samples were classified as either ‘long’ or ‘short’ symptom duration based on time since APS increase prior to baseline. The NAPLS2 risk calculator model was applied to each of these groups. In a subset of NAPLS3 participants who completed follow-up magnetic resonance imaging scans, change in cortical thickness was combined with the individual risk score to predict conversion to psychosis.

The risk calculator models achieved similar performance across the combined NAPLS2/NAPLS3 sample [area under the curve (AUC) = 0.69], the long duration group (AUC = 0.71), and the short duration group (AUC = 0.71). The shorter duration group was younger and had higher baseline APS than the longer duration group. The addition of cortical thinning improved the prediction of conversion significantly for the short duration group (AUC = 0.84), with a moderate improvement in prediction for the longer duration group (AUC = 0.78).

These results suggest that early illness progression differs among CHR-P patients, is detectable with both clinical and neuroimaging measures, and could play an essential role in the prediction of clinical outcomes.

The intensity of an antibiotic stewardship intervention to achieve clinical impact is not known. We conducted a multisite dissemination project of an intervention to reduce treatment of asymptomatic bacteriuria (ASB) and studied: (1) the association between implementation metrics and clinical outcomes and (2) the cost of implementation.

A central site facilitated a multimodality intervention to decrease unnecessary urine cultures and antibiotic treatment in patients with ASB at 4 Veterans Affairs medical centers.

The intervention consisted of a decision support aid algorithm and interactive teaching cases that provided in the moment audit and feedback on how to manage ASB. Implementation outcomes included minutes spent in intervention delivery, number of healthcare professionals reached, and number of sessions delivered. Clinical outcomes included days of antibiotic therapy (DOT), length of antibiotic therapy (LOT), and number of urine cultures ordered per 1000 bed days. Personnel reported weekly time logs.

Minutes spent in intervention delivery were inversely correlated with two clinical outcomes, DOT (R −0.3, P = .04) and LOT (R −0.3, P = .02). Number of healthcare professionals reached and number of sessions delivered were not correlated with clinical outcomes of DOT (R –0.003, P = .98, R = −0.059, P = .69) or LOT (R +0.073, P = .62, R −0.102, P = .49). Physician champions spent an average of 3.8% of effort on the intervention. The implementation cost was USD 22,299/year per site on average.

The amount of time local teams spent in delivery of an antibiotic stewardship intervention was correlated with the desired decrease in antibiotic use. Implementing this successful antibiotic stewardship intervention required minimal time.

Shortness of breath, or dyspnea, is the subjective experience of breathing discomfort and is a common, distressing, and debilitating symptom of lung cancer. There are no efficacious pharmacological treatments, but there is suggestive evidence that cognitive–behavioral treatments could relieve dyspnea. For this, understanding the psychological, behavioral, and social factors that may affect dyspnea severity is critical. To this end, patients with dyspnea were interviewed with questions framed by the cognitive–behavioral model—emphasizing thoughts, emotions, and behaviors as contributors and outcomes of dyspnea.

Two trained individuals conducted semi-structured interviews with lung cancer patients (N = 15) reporting current dyspnea. Interviews assessed patients’ cognitive–behavioral experiences with dyspnea. Study personnel used a grounded theory approach for qualitative analysis to code the interviews. Inter-rater reliability of codes was high (κ = 0.90).

Thoughts: Most common were patients’ catastrophic thoughts about their health and receiving enough oxygen when breathless. Emotions: Anxiety about dyspnea was the most common, followed by anger, sadness, and shame related to dyspnea. Behaviors: Patients rested and took deep breaths to relieve acute episodes of dyspnea. To reduce the likelihood of dyspnea, patients planned their daily activity or reduced their physical activity at the expense of engagement in hobbies and functional activities.

Patients identified cognitive–behavioral factors (thoughts, emotions, and behaviors) that coalesce with dyspnea. The data provide meaningful insights into potential cognitive–behavioral interventions that could target contributors to dyspnea.

Mother and father depression symptoms often co-occur, and together can have a substantial impact on child emotional well-being. Little is understood about symptom-level mechanisms underlying the co-occurrence of depression symptoms within families.

The objective was to use network analysis to examine depression symptoms in mothers and fathers after having a baby, and emotional symptoms in children in early adolescence.

We examined data from 4492 mother–father–child trios taken from a prospective, population-based cohort in the UK. Symptoms were examined using two unregularised partial correlation network models. The initial model was used to examine the pattern of associations, i.e. the overall network structure, for mother and father depression symptoms, and then to identify bridge symptoms that reinforce depression symptoms between parents during offspring infancy. The second model examined associations between the parent symptom network, including bridge symptoms, with later child emotional difficulties.

The study included 4492 mother–father–child trios; 2204 (49.1%) children were female. Bridge symptoms reinforcing mother and father depression symptoms were feeling guilty and self-harm ideation. For mothers, the bridge symptom of feeling guilty, and symptoms of anhedonia, panic and sadness were highly connected with child emotional difficulties. For fathers, the symptom of feeling overwhelmed associated with child emotional difficulties. Guilt and anhedonia in fathers appeared to indirectly associate with child emotional difficulties through the same symptom in mothers.

Our findings suggest that specific symptom cascades are central for co-occurring depression in parents and increased vulnerability in children, providing potential therapeutic targets.

To determine the proportion of hospitals that implemented 6 leading practices in their antimicrobial stewardship programs (ASPs). Design: Cross-sectional observational survey.

Acute-care hospitals.

ASP leaders.

Advance letters and electronic questionnaires were initiated February 2020. Primary outcomes were percentage of hospitals that (1) implemented facility-specific treatment guidelines (FSTG); (2) performed interactive prospective audit and feedback (PAF) either face-to-face or by telephone; (3) optimized diagnostic testing; (4) measured antibiotic utilization; (5) measured C. difficile infection (CDI); and (6) measured adherence to FSTGs.

Of 948 hospitals invited, 288 (30.4%) completed the questionnaire. Among them, 82 (28.5%) had <99 beds, 162 (56.3%) had 100–399 beds, and 44 (15.2%) had ≥400+ beds. Also, 230 (79.9%) were healthcare system members. Moreover, 161 hospitals (54.8%) reported implementing FSTGs; 214 (72.4%) performed interactive PAF; 105 (34.9%) implemented procedures to optimize diagnostic testing; 235 (79.8%) measured antibiotic utilization; 258 (88.2%) measured CDI; and 110 (37.1%) measured FSTG adherence. Small hospitals performed less interactive PAF (61.0%; P = .0018). Small and nonsystem hospitals were less likely to optimize diagnostic testing: 25.2% (P = .030) and 21.0% (P = .0077), respectively. Small hospitals were less likely to measure antibiotic utilization (67.8%; P = .0010) and CDI (80.3%; P = .0038). Nonsystem hospitals were less likely to implement FSTGs (34.3%; P < .001).

Significant variation exists in the adoption of ASP leading practices. A minority of hospitals have taken action to optimize diagnostic testing and measure adherence to FSTGs. Additional efforts are needed to expand adoption of leading practices across all acute-care hospitals with the greatest need in smaller hospitals.