Equity, diversity and inclusion (EDI) in the healthcare field are crucial in meeting the healthcare needs of a progressively diverse society. In fact, a diverse healthcare workforce enables culturally sensitive care, promotes health equity and enhances the understanding of various needs and patients’ viewpoints, potentially resulting in more effective patient treatment and improved patient outcomes. Despite this, information on the effectiveness of policies or programmes promoting EDI in health institutions is scarce. The objective of this systematic review is to assess the effects and outcomes of EDI programmes in healthcare institutions.

We will conduct Preferred Reporting Items for Systematic Reviews and Meta-Analyses-compliant systematic review of studies on EDI programmes and describe their effects and outcomes in healthcare institutions. We will search PubMed, Scopus, Web of Science, CINAHL and PsycINFO databases. Selected studies will include randomised control trials (RCTs), non-RCTs and cross-sectional studies published either in English or French. Quality appraisal of studies and a narrative synthesis of extracted data will be conducted as well as a meta-analysis if possible. The quality of evidence in this review will be assessed by the Grades of Recommendation, Assessment, Development and Evaluation.

We anticipate that this systematic review will reveal information on the effect of EDI programmes and their outcomes in healthcare institutions. We expect this information will provide insights that will lead to improvements in designing EDI policies and programmes in healthcare institutions.

No ethical clearance is required for this study as no primary data will be collected. The final manuscript will be submitted to a journal for publication. In addition to this, the results of the study will also be disseminated through conference presentations to inform the research and clinical practice.

This protocol has been registered with the International Prospective Register of Systematic Reviews; registration number CRD42024502781.

This study aimed to evaluate the efficacy and safety of finerenone, a selective, non-steroidal mineralocorticoid receptor antagonist, on cardiovascular and kidney outcomes by age and/or sex.

FIDELITY post hoc analysis; median follow-up of 3 years.

FIDELITY: a prespecified analysis of the FIDELIO-DKD and FIGARO-DKD trials.

Adults with type 2 diabetes and chronic kidney disease receiving optimised renin–angiotensin system inhibitors (N=13 026).

Randomised 1:1; finerenone or placebo.

Cardiovascular (cardiovascular death, non-fatal myocardial infarction, non-fatal stroke or hospitalisation for heart failure (HHF)) and kidney (kidney failure, sustained ≥57% estimated glomerular filtration rate (eGFR) decline or renal death) composite outcomes.

Mean age was 64.8 years; 45.2%, 40.1% and 14.7% were aged interaction=0.42) and sex categories (HR 0.86 (95% CI 0.77 to 0.96) (male), HR 0.89 (95% CI 0.35 to 2.27) (premenopausal female), HR 0.87 (95% CI 0.73 to 1.05) (postmenopausal female); P_interaction=0.99). Effects on HHF reduction were not modified by age (P_interaction=0.70) but appeared more pronounced in males (P_interaction=0.02). Kidney events were reduced with finerenone versus placebo in age groups interaction=0.51). In sex subgroups, finerenone consistently reduced kidney events (P_interaction=0.85). Finerenone reduced albuminuria and eGFR decline regardless of age and sex. Hyperkalaemia increased with finerenone, but discontinuation rates were

Finerenone improved cardiovascular and kidney composite outcomes with no significant heterogeneity between age and sex subgroups; however, the effect on HHF appeared more pronounced in males. Finerenone demonstrated a similar safety profile across age and sex subgroups.

NCT02540993, NCT02545049.

Conventional prediction models fail to integrate the constantly evolving nature of critical illness. Alternative modelling approaches to study dynamic changes in critical illness progression are needed. We compare static risk prediction models to dynamic probabilistic models in early critical illness.

We developed models to simulate disease trajectories of critically ill COVID-19 patients across different disease states. Eighty per cent of cases were randomly assigned to a training and 20% of the cases were used as a validation cohort. Conventional risk prediction models were developed to analyse different disease states for critically ill patients for the first 7 days of intensive care unit (ICU) stay. Daily disease state transitions were modelled using a series of multivariable, multinomial logistic regression models. A probabilistic dynamic systems modelling approach was used to predict disease trajectory over the first 7 days of an ICU admission. Forecast accuracy was assessed and simulated patient clinical trajectories were developed through our algorithm.

We retrospectively studied patients admitted to a Cleveland Clinic Healthcare System in Ohio, for the treatment of COVID-19 from March 2020 to December 2022.

5241 patients were included in the analysis. For ICU days 2–7, the static (conventional) modelling approach, the accuracy of the models steadily decreased as a function of time, with area under the curve (AUC) for each health state below 0.8. But the dynamic forecasting approach improved its ability to predict as a function of time. AUC for the dynamic forecasting approach were all above 0.90 for ICU days 4–7 for all states.

We demonstrated that modelling critical care outcomes as a dynamic system improved the forecasting accuracy of the disease state. Our model accurately identified different disease conditions and trajectories, with a

In 2018, the American College of Obstetricians and Gynecologists recommended low-dose aspirin to prevent the onset of pre-eclampsia among women who were at high risk. Factors influencing women’s acceptance of this recommendation span multiple sectors and levels. Understanding how these factors interact will help stakeholders design effective population-level intervention strategies. Our study aims to identify and map relationships among factors influencing the medication decisions of pregnant women at risk of hypertensive disorders.

Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews (PRISMA-ScR) guidelines will be followed for this review. A research librarian developed a comprehensive search strategy to retrieve published and unpublished English studies after 1 January 1980, involving factors that influence pregnant women’s uptake and adherence to medication for gestational hypertensive disorders. This literature includes perceptions, patterns, acceptance, refusal, tendencies, probability and service utilisation. We will search PubMed, Embase, Web of Science and CINAHL. Reference lists of the selected papers will be searched manually to identify more relevant studies. A two-stage independent screening, consisting of title and abstract screening, followed by full-text screening, will be conducted by two independent reviewers to identify eligible articles. Extracted data will be recorded in a customised variable extraction form and input into a Microsoft Access database. The PRISMA-ScR will be used to guide the presentation of the results, which will be presented in a table and causal map to demonstrate the relationships between extracted variables and medication uptake and adherence. A conceptual simulation model will be formulated to validate the logic of the relationships between variables and identify knowledge gaps. Lastly, experts and stakeholders will be invited to critique and comment on the results.

This study does not require ethical approval. The full review results will be presented at a relevant conference and submitted to a peer-reviewed scientific journal for publication.

To assess the Clinical Characteristics and Outcomes of Traumatic Brain Injury in Patients Admitted to the Surgical Ward of Jimma Medical Center, Southwest Ethiopia from January to July 2022.

A hospital-based prospective observational study was conducted among 175 patients admitted with Traumatic Brain Injury at Jimma Medical Center from January to July 2022. Data were collected by structured questionnaires and a convenient sampling technique was used. For data entry, Epidata V.4.6.0.5 software was used and exported to Stata V.14.0.2 for analysis. The Cox regression model was fitted to evaluate the predictors of mortality and variables with a p value

The incidence of in-hospital mortality was 22 (12.6%). The mean length of hospital stay was 6 days. In-hospital complications were recorded in 32.0% of patients. A Glasgow Coma Scale (GCS) score of

In-hospital mortality was recorded in over one-tenth of patients with traumatic brain injury. The GCS score of

Standard treatment for patients with intermediate or locally advanced rectal cancer is (chemo)radiotherapy followed by total mesorectal excision (TME) surgery. In recent years, organ preservation aiming at improving quality of life has been explored. Patients with a complete clinical response to (chemo)radiotherapy can be managed safely with a watch-and-wait approach. However, the optimal organ-preserving treatment strategy for patients with a good, but not complete clinical response remains unclear. The aim of the OPAXX study is to determine the rate of organ preservation that can be achieved in patients with rectal cancer with a good clinical response after neoadjuvant (chemo)radiotherapy by additional local treatment options.

The OPAXX study is a Dutch multicentre study that investigates the efficacy of two additional local treatments aiming at organ preservation in patients with a good, but not complete response to neoadjuvant treatment (ie near-complete response or a small residual tumour mass

The trial protocol has been approved by the medical ethics committee of the Netherlands Cancer Institute (METC20.1276/M20PAX). Informed consent will be obtained from all participants. The trial results will be published in an international peer-reviewed journal.

NCT05772923.

Despite their widespread use, the evidence base for the effectiveness of quality improvement collaboratives remains mixed. Lack of clarity about ‘what good looks like’ in collaboratives remains a persistent problem. We aimed to identify the distinctive features of a state-wide collaboratives programme that has demonstrated sustained improvements in quality of care in a range of clinical specialties over a long period.

Qualitative case study involving interviews with purposively sampled participants, observations and analysis of documents.

The Michigan Collaborative Quality Initiatives programme.

38 participants, including clinicians and managers from 10 collaboratives, and staff from the University of Michigan and Blue Cross Blue Shield of Michigan.

We identified five features that characterised success in the collaboratives programme: learning from positive deviance; high-quality coordination; high-quality measurement and comparative performance feedback; careful use of motivational levers; and mobilising professional leadership and building community. Rigorous measurement, securing professional leadership and engagement, cultivating a collaborative culture, creating accountability for quality, and relieving participating sites of unnecessary burdens associated with programme participation were all important to high performance.

Our findings offer valuable learning for optimising collaboration-based approaches to improvement in healthcare, with implications for the design, structure and resourcing of quality improvement collaboratives. These findings are likely to be useful to clinicians, managers, policy-makers and health system leaders engaged in multiorganisational approaches to improving quality and safety.