Team member familiarity has a positive impact on teamwork and interprofessional communication. Organisational design should consider team member familiarity.

Interprofessional teamwork matters for patient and workforce outcomes. Familiarity of team members is associated with improved teamwork and communication, safety and quality of care, utilisation and patient outcomes. However, much of the existing research is observational in nature. This study evaluated the impact of a team member familiarity intervention on the quality of nurse and resident interactions, perceptions of organisational climate and care outcomes.

This single site randomised clinical trial evaluated the effect of a resident scheduling intervention designed to...

Current treatment decision-making in high-grade soft-tissue sarcoma (STS) care is not informed by individualised risks for different treatment options and patients’ preferences. Risk prediction tools may provide patients and professionals insight in personalised risks and benefits for different treatment options and thereby potentially increase patients’ knowledge and reduce decisional conflict. The VALUE-PERSARC study aims to assess the (cost-)effectiveness of a personalised risk assessment tool (PERSARC) to increase patients’ knowledge about risks and benefits of treatment options and to reduce decisional conflict in comparison with usual care in high-grade extremity STS patients.

The VALUE-PERSARC study is a parallel cluster randomised control trial that aims to include at least 120 primarily diagnosed high-grade extremity STS patients in 6 Dutch hospitals. Eligible patients (≥18 years) are those without a treatment plan and treated with curative intent. Patients with sarcoma subtypes or treatment options not mentioned in PERSARC are unable to participate. Hospitals will be randomised between usual care (control) or care with the use of PERSARC (intervention). In the intervention condition, PERSARC will be used by STS professionals in multidisciplinary tumour boards to guide treatment advice and in patient consultations, where the oncological/orthopaedic surgeon informs the patient about his/her diagnosis and discusses benefits and harms of all relevant treatment options. The primary outcomes are patients’ knowledge about risks and benefits of treatment options and decisional conflict (Decisional Conflict Scale) 1 week after the treatment decision has been made. Secondary outcomes will be evaluated using questionnaires, 1 week and 3, 6 and 12 months after the treatment decision. Data will be analysed following an intention-to-treat approach using a linear mixed model and taking into account clustering of patients within hospitals.

The Medical Ethical Committee Leiden-Den Haag-Delft (METC-LDD) approved this protocol (NL76563.058.21). The results of this study will be reported in a peer-review journal.

NL9160, NCT05741944.

The objective of this study is to analyse the relationship and psychosocial issues between working during the COVID-19 pandemic in primary healthcare (PHC) facilities located in the most vulnerable health region (HR) of the Federal District of Brazil (FDB) compared with a lesser region.

Mixed-method study data. The questionnaire was based on the World Health Survey and the Convid Behavioural Survey. Quantitative data were described in absolute and relative frequency. Pearson’s ² test verified differences according to the region (significance level

A representative sample of PHC professionals working at the Western HR and Central HR of the FDB.

111 women and 27 male PHC professionals, aged ≥ 18 years.

Psychosocial variables—personal emotions towards the clients, social relationships and use of psychoactive substances (PAS).

An online questionnaire (27 questions) and 1 open-ended question.

The sample comprised 138 PHC professionals; 80.40% were female aged between 40 and 49 years old (27.3%); declared themselves as black/pardo (58.7%); were married (53.60%), and worked in family healthcare teams (47.80%). No association between working in the most vulnerable HR compared with the least one and presenting psychosocial issues, except for anger towards clients (p=0.043). 55.10% worked much more than usual, 60.80% reported being depressed, 78.20% anxious, 76.80% stressed, 77.50% had no empathy and 78.30% felt isolated from family/friends. Towards the clients, 59.40% reported empathy and 72.5% no affection/care. The consume of psychotropic medications was reported by 34.80%, and 14.50% increased alcohol/PAS use. Qualitative data leverage quantitative findings: work overload, the indifference of the Federal Government and distance from family/friends.

Working in the most vulnerable region and in the least one affects the psychosocial aspects of the PHC professionals equally.

Early identification of lung cancer on chest radiographs improves patient outcomes. Artificial intelligence (AI) tools may increase diagnostic accuracy and streamline this pathway. This study evaluated the performance of commercially available AI-based software trained to identify cancerous lung nodules on chest radiographs.

This retrospective study included primary care chest radiographs acquired in a UK centre. The software evaluated each radiograph independently and outputs were compared with two reference standards: (1) the radiologist report and (2) the diagnosis of cancer by multidisciplinary team decision. Failure analysis was performed by interrogating the software marker locations on radiographs.

5722 consecutive chest radiographs were included from 5592 patients (median age 59 years, 53.8% women, 1.6% prevalence of cancer).

Compared with radiologist reports for nodule detection, the software demonstrated sensitivity 54.5% (95% CI 44.2% to 64.4%), specificity 83.2% (82.2% to 84.1%), positive predictive value (PPV) 5.5% (4.6% to 6.6%) and negative predictive value (NPV) 99.0% (98.8% to 99.2%). Compared with cancer diagnosis, the software demonstrated sensitivity 60.9% (50.1% to 70.9%), specificity 83.3% (82.3% to 84.2%), PPV 5.6% (4.8% to 6.6%) and NPV 99.2% (99.0% to 99.4%). Normal or variant anatomy was misidentified as an abnormality in 69.9% of the 943 false positive cases.

The software demonstrated considerable underperformance in this real-world patient cohort. Failure analysis suggested a lack of generalisability in the training and testing datasets as a potential factor. The low PPV carries the risk of over-investigation and limits the translation of the software to clinical practice. Our findings highlight the importance of training and testing software in representative datasets, with broader implications for the implementation of AI tools in imaging.

Opioid use disorder (OUD) is a major public health concern in the USA, resulting in high rates of overdose and other negative outcomes. Methadone, an OUD treatment, has been shown to be effective in reducing the risk of overdose and improving overall health and quality of life. This study analysed the distribution of methadone for the treatment of OUD across the USA over the past decade and through the COVID-19 pandemic.

Retrospective observational study using secondary data analysis of the Drug Enforcement Administration and Medicaid Databases.

USA.

Patients who were dispensed methadone at US opioid treatment programmes (OTPs).

The primary outcomes were the overall pattern in methadone distribution and the number of OTPs in the USA per year. The secondary outcome was Medicaid prescriptions for methadone.

Methadone distribution for OUD has expanded significantly over the past decade, with an average state increase of +96.96% from 2010 to 2020. There was a significant increase in overall distribution of methadone to OTP from 2010 to 2020 (+61.00%, p

There have been dynamic changes in methadone distribution for OUD. Furthermore, pronounced variation in methadone distribution among states was observed, with some states having no OTPs or Medicaid coverage. New policies are urgently needed to increase access to methadone treatment, address the opioid epidemic in the USA and reduce overdose deaths.

Preterm birth (PTB) is among the leading causes of perinatal and childhood morbidity and mortality. Therefore, accurate identification of pregnant women at high risk of PTB is key to enable obstetric healthcare professionals to apply interventions that improve perinatal and childhood outcomes. Serial transvaginal cervical length measurement is used to screen asymptomatic pregnant women with a history of PTB and identify those at high risk for a recurrent PTB. Cervical length measurement, fetal fibronectin test or a combination of both can be used to identify women at high risk of PTB presenting with symptoms of threatened PTB. The predictive capacity of these methods can be improved. Cervical softening is a precursor of cervical shortening, effacement and dilatation and could be a new marker to identify women a high risk of PTB. However, the predictive value of cervical softening to predict spontaneous PTB still needs to be determined.

This is a single-centre, prospective cohort study, conducted at the Amsterdam University Medical Centers in the Netherlands. Cervical softening will be investigated with a non-invasive CE-marked device called the Pregnolia System. This device has been developed to evaluate consistency of the cervix based on tissue elasticity. Two different cohorts will be investigated. The first cohort includes women with a history of spontaneous PTB

The study is approved by the Medical Ethics Committee of Amsterdam UMC (METC2022.0226). All patients will give oral and written informed consent prior to study entry. Results will be disseminated via a peer-reviewed journal.

NCT05477381.

To identify the individual and community-level variables associated with the continuation of education among currently married young adult women in Bangladesh.

Cross-sectional data extracted from the Bangladesh Demographic and Health Survey (BDHS), 2017–2018. The BDHS is a stratified cluster sample of households conducted in two and three stages in both rural and urban settings. A multilevel multinomial logistic regression analysis was employed to identify the associated factors.

Bangladesh.

Currently married young adult women aged 15–29 years (n=4595).

Continuation of education after marriage was measured in the BDHS by asking respondents, ‘Did you continue your studies after marriage?’ with the response options: no; yes, less than a year; yes, for 1–2 years; yes, for 3–4 years; and yes, for 5+ years.

Among young adult women, 28.2% continued education after marriage for different durations of years (

The proportion of women continuing their education after marriage in this sample is low. This study provides insight into the individual-level and community-level barriers women encounter in continuing their education after marriage. The identification of these barriers helps policy-makers develop effective intervention programmes to promote women’s educational attainment.

Current interventions for children with attention-deficit/hyperactivity disorder (ADHD) are primarily medication, behavioural therapy and parent training. However, research suggests dietary manipulations may provide therapeutic benefit for some. There is accumulating evidence that the gut microbiome may be atypical in ADHD, and therefore, manipulating gut bacteria in such individuals may help alleviate some of the symptoms of this condition. The aim of this study is to explore the effects of supplementation with kefir (a fermented dairy drink) on ADHD symptomatology, sleep, attention and the gut microbiome in children diagnosed with ADHD.

A 6-week randomised, double-blind, placebo-controlled trial in 70 children aged 8–13 years diagnosed with ADHD. Participants will be recruited throughout the UK, through support groups, community groups, schools, social media and word of mouth. Children will be randomised to consume daily either dairy kefir or a placebo dairy drink for 6 weeks. The primary outcome, ADHD symptomatology, will be measured by The Strengths and Weakness of ADHD-symptoms and Normal-behaviour scale. Secondary outcomes will include gut microbiota composition (using shotgun metagenomic microbiome sequencing), gut symptomatology (The Gastrointestinal Severity Index questionnaire), sleep (using 7-day actigraphy recordings, The Child’s Sleep Habits Questionnaire and Sleep Self Report questionnaire), inattention and impulsivity (with a computerised Go/NoGo test). Assessments will be conducted prior to the intervention and at the end of the intervention. Interaction between time (preintervention/postintervention) and group (probiotic/placebo) is to be analysed using a Mixed Model Analysis of Variances.

Ethical approval for the study was granted by St Mary’s University Ethics Committee. Results will be disseminated through peer-reviewed publications, presentations to the scientific community and support groups.

NCT05155696.

Multimorbidity is defined as the presence of two or more chronic diseases. Co-occurring diseases can have synergistic negative effects, and are associated with significant impacts on individual health outcomes and healthcare systems. However, the specific effects of diseases in combination will vary between different diseases. Identifying which diseases are most likely to co-occur in multimorbidity is an important step towards population health assessment and development of policies to prevent and manage multimorbidity more effectively and efficiently. The goal of this project is to conduct a systematic review and meta-analysis of studies of disease clustering in multimorbidity, in order to identify multimorbid disease clusters and test their stability.

We will review data from studies of multimorbidity that have used data clustering methodologies to reveal patterns of disease co-occurrence. We propose a network-based meta-analytic approach to perform meta-clustering on a select list of chronic diseases that are identified as priorities for multimorbidity research. We will assess the stability of obtained disease clusters across the research literature to date, in order to evaluate the strength of evidence for specific disease patterns in multimorbidity.

This study does not require ethics approval as the work is based on published research studies. The study findings will be published in a peer-reviewed journal and disseminated through conference presentations and meetings with knowledge users in health systems and public health spheres.

CRD42023411249.

Exploring patients’ perspectives for significant factors of relevance in living with a chronic disease is important to discover unmet needs and challenges. The primary objective of this study was to explore disease-related and treatment-related issues and concerns experienced by adults with spondyloarthropathies (SpA) and associated diseases. As a secondary objective, we wanted to explore whether these factors were generic or disease dependent.

We used group concept mapping (GCM), a validated qualitative method, to identify disease-related and treatment-related issues and concerns. Participants generated statements in the GCM workshops and organised them into clusters to develop concepts. Furthermore, participants rated each statement for importance from 1: ‘not important at all’ to 5: ‘of great importance’.

Participants were recruited during routine care at the outpatient clinic at the hospitals in the period from May 2018 to July 2022.

Eligible participants were adults ≥18 years and diagnosed with axial spondyloarthritis (AxSpA), psoriatic arthritis (PsA), psoriasis (PsO) or inflammatory bowel disease —split into Crohn’s disease (CD) and ulcerative colitis (UC).

52 patients participated in the 11 workshops divided into groups according to their diagnosis. They created a total of 1275 statements that generated 10 AxSpA concepts, 7 PsA concepts, 7 PsO concepts, 10 CD concepts and 11 UC concepts. The highest rated concepts within each disease group were: AxSpA, ‘lack of understanding/to be heard and seen by healthcare professionals’ (mean rating 4.0); PsA, ‘medication (effects and side effects)’ (mean rating 3.8); PsO, ‘social and psychological problems, the shame’ (mean rating 4.0); CD, ‘positive attitudes’ (mean rating 4.3) and UC; ‘take responsibility and control over your life’ (mean rating 4.0).

People with SpA and associated diseases largely agree on which concepts describe their disease-related and treatment-related issues and concerns with a few of them being more disease-specific.

This study aimed to evaluate the effectiveness, safety and costs of FreeStyle Libre (FSL) glucose monitoring system for children and adolescents with type 1 diabetes mellitus (T1DM) in Spain.

Prospective, multicentre pre-post study.

Thirteen Spanish public hospitals recruited patients from January 2019 to March 2020, with a 12-month follow-up.

156 patients were included.

Primary: glycated haemoglobin (HbA1c) change. Secondary: severe hypoglycaemic events (self-reported and clinical records), quality of life, diabetes treatment knowledge, treatment satisfaction, adverse events, adherence, sensor usage time and scans. Healthcare resource utilisation was assessed for cost analysis from the National Health System perspective, incorporating direct healthcare costs. Data analysis used mixed regression models with repeated measures. The intervention’s total cost was estimated by multiplying health resource usage with unit costs.

In the whole sample, HbA1c increased significantly (0.32%; 95% CI 0.10% to 0.55%). In the subgroup with baseline HbA1c≥7.5% (n=88), there was a significant reduction at 3 months (–0.46%; 95% CI –0.69% to –0.23%), 6 months (–0.49%; 95% CI –0.73% to –0.25%) and 12 months (–0.43%; 95% CI –0.68% to –0.19%). Well-controlled patients had a significant 12-month worsening (0.32%; 95% CI 0.18% to 0.47%). Self-reported severe hypoglycaemia significantly decreased compared with the previous year for the whole sample (–0.37; 95% CI –0.62 to –0.11). Quality of life and diabetes treatment knowledge showed no significant differences, but satisfaction increased. Adolescents had lower sensor usage time and scans than children. Reduction in HbA1c was significantly associated with device adherence. No serious adverse effects were observed. Data suggest that use of FSL could reduce healthcare resource use (strips and lancets) and costs related to productivity loss.

The use of FSL in young patients with T1DM was associated with a significant reduction in severe hypoglycaemia, and improved HbA1c levels were seen in patients with poor baseline control. Findings suggest cost savings and productivity gains for caregivers. Causal evidence is limited due to the study design. Further research is needed to confirm results and assess risks, especially for patients with lower baseline HbA1c.