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How Delphi studies in the health sciences find consensus: a scoping review.
Syst Rev
January 2025
Department of Research Methods in Health Promotion and Prevention, Institute for Health Sciences, University of Education Schwäbisch Gmünd, Oberbettringer Straße 200, Schwäbisch Gmünd, 73525, Germany.
Background: Delphi studies are primarily used in the health sciences to find consensus. They inform clinical practice and influence structures, processes, and framework conditions of healthcare. The practical research-how Delphi studies are conducted-has seldom been discussed methodologically or documented systematically.
View Article and Find Full Text PDF'Which treatment do you believe you received?' A randomised blinding feasibility trial of spinal manual therapy.
Chiropr Man Therap
January 2025
Musculoskeletal Epidemiology Research Group, University of Zurich and Balgrist University Hospital, Zurich, Switzerland.
Background: Blinding is essential for mitigating biases in trials of low back pain (LBP). Our main objectives were to assess the feasibility of blinding: (1) participants randomly allocated to active or placebo spinal manual therapy (SMT), and (2) outcome assessors. We also explored blinding by levels of SMT lifetime experience and recent LBP, and factors contributing to beliefs about the assigned intervention.
View Article and Find Full Text PDFMethodological challenges using routine clinical care data for real-world evidence: a rapid review utilizing a systematic literature search and focus group discussion.
BMC Med Res Methodol
January 2025
Freiburg Center for Data Analysis, Modeling and AI, University of Freiburg, Freiburg, Germany.
Background: The integration of real-world evidence (RWE) from real-world data (RWD) in clinical research is crucial for bridging the gap between clinical trial results and real-world outcomes. Analyzing routinely collected data to generate clinical evidence faces methodological concerns like confounding and bias, similar to prospectively documented observational studies. This study focuses on additional limitations frequently reported in the literature, providing an overview of the challenges and biases inherent to analyzing routine clinical care data, including health claims data (hereafter: routine data).
View Article and Find Full Text PDFRisk prediction models for falls in hospitalized older patients: a systematic review and meta-analysis.
BMC Geriatr
January 2025
Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Background: Existing fall risk assessment tools in clinical settings often lack accuracy. Although an increasing number of fall risk prediction models have been developed for hospitalized older patients in recent years, it remains unclear how useful these models are for clinical practice and future research.
Objectives: To systematically review published studies of fall risk prediction models for hospitalized older adults.
Patient reported tools for assessing potential medicine-related symptoms: A systematic review.
Res Social Adm Pharm
January 2025
Quality Use of Medicines and Pharmacy Research Centre, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, 5001, Australia.
Background: Medicine-related symptom assessment tools have been developed to assist healthcare professionals in detecting potential medicine-related symptoms. This systematic review aimed to identify and evaluate the measurement properties of medicine-related symptom assessment tools.
Method: A systematic search was conducted in Ovid Medline, Ovid Embase, Ovid PsychInfo, and SCOPUS databases up to March 16, 2024.
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