Patient Perspectives of Telemedicine in Outpatient Nephrology Clinics During COVID-19: A Qualitative Study.

Background: The COVID-19 pandemic notably disrupted care for patients with chronic kidney disease (CKD) care, necessitating a rapid shift to telemedicine. Despite the growing use of telemedicine, the impact of this transition on patients' experiences, particularly in Canada and considering sociocultural factors, remains underexplored. This study aims to investigate patients with CKD perspectives on telemedicine versus in-person care and to offer recommendations for enhancing telemedicine services.

Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE.

Background: Cluster randomized trials (CRTs) are becoming an increasingly important design. However, authors of CRTs do not always adhere to requirements to explicitly identify the design as cluster randomized in titles and abstracts, making retrieval from bibliographic databases difficult. Machine learning algorithms may improve their identification and retrieval.