Inpatient detoxification for alcohol and other drug use: qualitative study of patients' accounts of their relationships with staff.

Background: The therapeutic alliance is an important predictor of treatment outcomes but people who use alcohol and other drugs report mixed views of treatment providers. We analysed patients' accounts of inpatient detoxification staff to ascertain whether, and if so how, relationships with them, and thus the therapeutic alliance, might be improved.

Methods: Semi-structured qualitative interviews were conducted (in 2022/2023) with 20 people (14 males; 6 females) who had just completed inpatient detoxification in sixteen different facilities.

The environmental effects of non-invasive cardiac imaging.

The healthcare sector is a major contributor to the universal climate footprint, of this a significant proportion is attributable to medical imaging and further to dedicated cardiac imaging. The increasing availability and utility of cardiac imaging techniques for prognosis, diagnosis and management raises concerns for the impact of these investigations on the environment. Our objective was to review the published literature assessing the environmental impact of non-invasive imaging modalities within cardiology, subsequently helping guide physicians toward a more sustainable approach to cardiac imaging and improved awareness of the environmental impact of healthcare within this field.

BLESS: bagged logistic regression for biomarker identification.

The traditional single nucleotide polymorphism (SNP)-wise approach in genome-wide association studies is focused on examining the marginal association between each SNP with the outcome separately and applying multiple testing adjustments to the resulting -values to reduce false positives. However, the approach suffers a lack of power in identifying biomarkers. We design an ensemble machine learning approach to aggregate results from logistic regression models based on multiple subsamples, which helps to identify biomarkers from high-dimensional genomic data.