Differences Between Intravenous and Subcutaneous Modes of Administration in Oncology from the Patient, Healthcare Provider, and Healthcare System Perspectives: A Systematic Review.

Background: While patients with cancer have traditionally received oncology treatments through intravenous (IV) administration, some therapies are becoming available via alternative modes of administration, such as subcutaneous (SC). This study aimed to evaluate IV versus SC therapy administration from the perspectives of the patient, healthcare provider (HCP), and healthcare system.

Methods: A systematic review was conducted, searching MEDLINE and Embase databases from 2000 to 2022.

Perceptions of burnout among public sector physicians in Sierra Leone: A qualitative study.

In Sierra Leone, physicians face a high risk of burnout due to systemic challenges, with studies suggesting a gap in recognizing and addressing this condition. We explored public-sector physicians' experiences and perceptions of the organizational structures and characteristics needed to help them thrive in a resource-limited practice setting. We conducted in-depth, semi-structured interviews with 24 public sector physicians across Western Area Urban (Freetown), Bo, Kono, and Kambia districts in Sierra Leone.

Accuracy of CAD4TB (Computer-Aided Detection for Tuberculosis) on paediatric chest radiographs.

Background: Computer-aided detection (CAD) systems hold promise for improving tuberculosis (TB) detection on digital chest radiographs. However, data on their performance in exclusively paediatric populations are scarce.

Methods: We conducted a retrospective diagnostic accuracy study evaluating the performance of CAD4TBv7 (Computer-Aided Detection for Tuberculosis version 7) using digital chest radiographs from well-characterised cohorts of Gambian children aged <15 years with presumed pulmonary TB.

Real-World Data Quality Framework for Oncology Time to Treatment Discontinuation Use Case: Implementation and Evaluation Study.

Background: The importance of real-world evidence is widely recognized in observational oncology studies. However, the lack of interoperable data quality standards in the fragmented health information technology landscape represents an important challenge. Therefore, adopting validated systematic methods for evaluating data quality is important for oncology outcomes research leveraging real-world data (RWD).