This study aims to explore trends in the use of antibiotics, in the context of the COVID-19 pandemic, across the European Union (EU), focusing on socioeconomic inequalities.

Repeated cross-sectional analysis.

26 EU member states.

Analyses were conducted using data from five waves of the Eurobarometer survey (2009–2022, n=1 27 299).

We used multilevel logistic regression, stratified by financial difficulty, to examine changes in the past-year use of antibiotics and in obtaining antibiotics inappropriately over time, adjusting for gender, age, type of community, children under 10 years in the household and antibiotic-related knowledge.

We found that the odds of self-reported use of antibiotics decreased between 2009 and 2022 in those with (OR=0.59, 95% CI 0.55–0.63) and without financial difficulties (OR=0.53, 95% CI 0.50 to 0.56), with a substantial reduction between 2018 and 2022. However, a relatively higher proportion of Europeans who used antibiotics in the past year were obtaining them inappropriately in those with (OR=2.03, 95% CI 1.68 to 2.45) and without financial difficulties (OR=1.83, 95% CI 1.53 to 2.19) in 2022. Among those with financial difficulties, higher self-reported use of antibiotics and inappropriately obtaining antibiotics were associated with lesser knowledge about antibiotics.

Despite notable progress made in the EU in reducing antibiotic use, current efforts fall short in addressing the issue of inappropriate antibiotic use. A targeted approach prioritising outreach to vulnerable populations to advance attitudes and behaviours related to appropriate antibiotic use may be required to achieve further progress.

Dyspnoea is an existentially burdensome symptom in patients with advanced and progressive diseases such as cancer, chronic obstructive pulmonary disease (COPD) and advanced heart failure. Recent studies have highlighted that symptomatic treatment of dyspnoea is often ineffective and may depend on the underlying disease. Immersive virtual reality (IVR) has emerged as a ‘digital therapeutic’ for conditions such as pain, anxiety, and dyspnoea. Brain functional MRI (fMRI) offers the opportunity to identify distinct patterns of dyspnoea. Current findings are mainly limited to healthy volunteers, but clinical data from patients with life-limiting conditions are needed. The aim of this study is to assess the feasibility of identifying dyspnoea patterns in different life-limiting conditions using fMRI and IVR.

This is an observational monocentric feasibility study, conducted in a tertiary university centre. Healthy volunteers and patients diagnosed with advanced cancer, COPD, or heart failure and suffering from persistent dyspnoea will undergo an fMRI of the brain using IVR. The primary outcome of feasibility will be evaluated using descriptive statistics. Secondary outcomes include analysis of fMRI patterns of dyspnoea across populations, patient-reported burden of participation, and correlation between dyspnoea and psychological symptoms. These preliminary data will help determine the sample size required for a future study evaluating differences in dyspnoea patterns. Exploratory comparison between the characteristics of all four groups will be assessed with Fisher’s test (for proportions) and either independent Student’s t-test or Mann-Whitney test, depending on distribution. Correlations between variables will be tested using the Pearson’s correlation coefficient. Statistical analysis will be performed using STATA.

This study protocol received ethical approval on 23 April 2025 from the Commission cantonale d’éthique de la recherche in the Canton of Geneva, Switzerland. The identification number is 2024-02289. Submission to peer-reviewed journals and presentation in international congresses for the dissemination of the study findings are planned.

Clinical Trials number is NCT07319039; Pre-results.

To evaluate the impact of public–private mix (PPM) models for tuberculosis (TB) on health, process and system outcomes, adopting the WHO’s definition of PPM, which is a strategic partnership between national TB programmes and healthcare providers, both public and private, to deliver high-quality TB diagnosis and treatment.

Systematic review without meta-analysis using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines.

EMBASE, MEDLINE, Health Management Information Consortium, Social Sciences Citation Index, Science Citation Index, Emerging Sources Citation Index, CENTRAL, Database of Disability and Inclusion Information Resources, WHO Library Database and 3ie.

We included all primary studies examining PPM models delivering TB services in urban health sectors in least-developed, low-income and lower–middle-income countries and territories.

17 reviewers were involved in data extraction in COVIDENCE using a prepiloted template. All extractions were completed by a single reviewer and checked by a second reviewer. Quality appraisal was carried out using the mixed-methods appraisal tool, covering mixed-methods, qualitative and quantitative study designs. Narrative synthesis was carried out by tabulating and summarising studies according to PPM models and reported in line with the synthesis without meta-analysis guidelines.

Of the 57 included studies, covering quantitative (n=41), qualitative (n=6) and mixed-method (n=10) designs, the majority were from Southeast Asia (n=37). PPM models had overall positive results on TB treatment outcomes, access and coverage and value for money. They are linked with improved TB health workers’ skills and service delivery. Most outcomes tended to favour interface models, although with considerable heterogeneity. Inconsistent implementation of national TB guidelines, uncoordinated referrals and lack of trust among partners were identified as areas of improvement. Evidence was lacking on the involvement of informal providers within PPM models.

PPM models can be effective and cost-effective for TB care in urban low- and middle-income countries contexts, particularly when levels of mistrust between public and private sectors are addressed through principles of equal partnership. The evidence indicates that this may be more achievable when an interface organisation manages the partnership.

CRD42021289509.

Osteoarthritis (OA) commonly affects the ageing population, particularly the hip joint. Total hip arthroplasty (THA) is a frequent procedure that relieves pain and improves mobility, though some patients experience persistent postoperative pain. With rising numbers of THA, optimising perioperative care and pain management is crucial to address the growing clinical burden and improve patient outcomes. Positive treatment expectations have shown promise in enhancing outcomes, especially in pain management. This study implements two strategies to optimise the patient’s treatment expectations, comprising enhanced physician communication and digital social observational learning. We will examine their separate and combined effects on preoperative expectations, negative emotions, postoperative pain, inflammation and function during recovery up to 12 months postoperatively.

This randomised controlled trial (RCT) investigates the impact of augmented physician communication and observational learning on treatment expectations and recovery. Participants (n=200) will be randomised into four groups: treatment as usual (TAU), augmented doctor conversation (aDOC), observational learning video (Video) and a combination of both (aDOC+Video). The aDOC group receives empathic communication and targeted information to strengthen self-efficacy. The Video group watches a model patient demonstrating successful recovery. The combined group receives both interventions. Outcomes will be assessed at multiple time points (4 days preoperatively; 1 and 4 days, 4 weeks and 3, 6 and 12 months postoperatively), including subjective pain ratings, mobility and objective physical function. The primary analysis will compare changes in pain intensity across groups. Secondary outcomes will include functional status, self-efficacy, recovery and systemic inflammatory markers. Statistical analysis involves repeated measures ANOVA and post hoc tests for between-group and within-group comparisons.

German Clinical Trials Register: DRKS00033212.

To assess the validity of the International Classification of Diseases, 10th Revision (ICD-10) healthcare database diagnosis codes for lithium toxicity at hospital admission in Ontario, Canada.

Population-based retrospective validation study.

A total of 152 hospitals linked to a provincial laboratory database in Ontario, Canada, from 2007 to 2023.

Patients 50 years of age or older taking lithium with hospital-based serum lithium laboratory measurements during admission to the hospital (n=2804).

Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) comparing an ICD-10 diagnostic coding algorithm for lithium toxicity to a serum lithium concentration of 1.5 mmol/L or more. The codes used in the algorithm were T568, T435, Y495, X41 and X49. Serum lithium values and changes in the concentration of serum lithium from baseline levels in patients with and without a diagnosis code for lithium toxicity (code-positive and code-negative, respectively).

The sensitivity of the ICD-10 coding algorithm for identifying a serum lithium level≥1.5 mmol/L was 84% (95% CI 81% to 87%). The specificity and the NPV were over 88%, and the PPV was 63% (95% CI 60% to 66%). The median (IQR) serum lithium measurement in code-positive patients was 1.7 (1.2 to 2.2) mmol/L, and it was 0.6 (0.4 to 0.9) mmol/L in code-negative patients. The median (IQR) increase in serum lithium concentration compared with the most recent prehospital baseline values was 0.7 (0.2 to 1.3) mmol/L in code-positive patients and 0.0 (–0.2 to 0.2) mmol/L in code-negative patients.

In Ontario, the sensitivity of the ICD-10 coding algorithms was moderate for identifying a serum lithium level≥1.5 mmol/L at hospital admission. The presence or absence of the ICD-10 codes for lithium toxicity at hospital admission successfully differentiated two groups of patients with distinct serum lithium measurements.