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The accurate determination of the frequency and severity of treatment-related complications is vital to informing patients and clinicians in their decision-making process. In published studies, complications are assed via administrative data, patient-reported outcomes, and physician-graded toxicity, each with their strengths and limitations. Administrative data provide a vast, accessible history of patient data, but are limited in the ability to accurately capture diagnosis and causality, and are subject to differing interpretations of billing codes. Patient-reported outcomes provide direct and nuanced descriptions of both symptoms and bother; but are by definition subjective, affected by nonrespondents, and results (scores) are often difficult to interpret for patients and clinicians alike. Physician-graded toxicity is a relatively more objective measure, but relies on both clinicians fully assessing all relevant symptoms and patients accurately reporting them to the clinician. Understanding these strengths and limitations will help clinicians become more informed readers of the published literature.
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http://dx.doi.org/10.1016/j.semradonc.2019.05.007 | DOI Listing |
Rev Med Liege
September 2025
Service de psychologie clinique et d'action sociale, ULiège, Belgique.
Patients with complex care needs present numerous challenges: the care they receive is often associated with more hospital admissions. The care provided to this group could benefit from being more goal-oriented and better integrated. However, strengthening a net-work of care for these patients starting from hospitalization remains a challenge.
View Article and Find Full Text PDFNurs Open
September 2025
Doctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, Pécs, Hungary.
Aims: To find out how Kenyan nurses rate their organisational culture, determine their level of job satisfaction, and organisational culture predictors of job satisfaction.
Design: A cross-sectional online survey.
Methodology: A total of 300 nurses across Kenya were invited to participate in this study.
Pharmacoepidemiol Drug Saf
September 2025
Sanofi, Cambridge, Massachusetts, USA.
Purpose: Given the increased likelihood for individuals with severe asthma to experience comorbidities, disease complications, emergency room visits, and hospitalizations, the ability to stratify asthma populations on severity is often important. Although pharmacoepidemiologic studies using administrative healthcare databases sometimes categorize asthma severity, there is no consensus on an approach.
Methods: Individuals with asthma (≥ 2 ICD-10-CM diagnosis codes J45) aged ≥ 6 years were identified in Optum's de-identified Clinformatics Data Mart Database between January 2017 and November 2023.
J Safety Res
September 2025
Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Objective: Despite growing interest in utilizing firefighter health and safety data to reduce injuries and fatalities, there is little evidence on attitudes towards data. We examined fire service perceptions of data to inform future policies and practices.
Methods: We conducted focus groups and interviews with career firefighters, union representatives, and department leaders in Maryland and Virginia; and interviews with national leaders (March-November 2023).
J Am Coll Cardiol
September 2025
Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region of China; Advanced Data Analytics for Medical Science Limited, Hong Kong Special Administrative Region of China
Background: There is no consensus for using statins for primary prevention of cardiovascular disease (CVD) and all-cause mortality in adults with type 1 diabetes mellitus (T1DM), because no randomized controlled trial has exclusively investigated statins in this population.
Objectives: In this study, the authors sought to evaluate the long-term risks and benefits of statins for primary prevention in adults with T1DM.
Methods: We performed a sequential target trial emulation comparing statin initiation vs noninitiation using UK primary care data from the IQVIA Medical Research Data database.