Introduction: Men and women living with overactive bladder (OAB) face many treatment decisions as they progress through the treatment pathway. Decisions to pursue specific therapies are highly preference sensitive and ideal for shared decision making (SDM). The aim of this narrative review is to provide urologists with a practical summary of methods to elicit preferences and facilitate SDM to promote patient-centered care for OAB.
Methods: We explore OAB as a preference sensitive condition through a review of treatment outcomes and present available data on prediction tools, patient preferences, and decision aids. We propose a paradigm for applying Everyday SDM to OAB care.
Results: Clinical outcome data points to equipoise (balanced outcomes) between options for first-, second-, and third-line OAB therapies, making OAB preference sensitive and appropriate for SDM. Methods to personalize care through individualized outcome prediction calculators and tools to elicit patient preferences are emerging. While patient information about OAB is readily available, we identified few OAB decision aids that facilitate patient preference elicitation and SDM.
Conclusions: OAB is a preference sensitive condition, where treatment is largely based on the patient's preferences and values. SDM is an ideal approach to supporting patients through these treatment decisions. We propose the application of Everyday SDM, a personalized, clinically efficient methodology as a method to support patient-centered OAB care.
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http://dx.doi.org/10.1002/nau.24915 | DOI Listing |
J Med Internet Res
December 2024
Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé - LIMICS, Inserm, Université Sorbonne Paris-Nord, Sorbonne Université, Paris, France.
Background: Artificial intelligence (AI) applied to real-world data (RWD; eg, electronic health care records) has been identified as a potentially promising technical paradigm for the pharmacovigilance field. There are several instances of AI approaches applied to RWD; however, most studies focus on unstructured RWD (conducting natural language processing on various data sources, eg, clinical notes, social media, and blogs). Hence, it is essential to investigate how AI is currently applied to structured RWD in pharmacovigilance and how new approaches could enrich the existing methodology.
View Article and Find Full Text PDFAustralas Psychiatry
January 2025
Laboratory of Psychiatric Neuroscience, Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD, Australia.
Objective: This systematic review investigates the impact of climate change on the mental health of Pacific Island Nations (PINs), with a focus on identifying culturally tailored interventions and appropriate research methodologies to address these impacts.
Method: A systematic review of peer-reviewed literature up to May 18, 2024, was conducted using the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) protocol and the Population, Interest Area, and Context (PICo) framework. Empirical studies on the impact of climate change on mental health in PINs were evaluated by using the Quality Assessment Tool for Studies with Diverse Designs (QATSDD).
Bull Math Biol
January 2025
Department of Mathematics and Computer Science, Lawrence Technological University, 21000 W. 10 Mile Rd., Southfield, MI, 48075, USA.
We investigate the impact of differential vaccine effectiveness, waning immunity, and natural cross-immunity on the capacity for vaccine-induced strain replacement in two-strain models of infectious disease spread. We focus specifically on the case where the first strain is more transmissible but the second strain is more immune-resistant. We consider two cases on vaccine-induced immunity: (1) a monovalent model where the second strain has immune escape with respect to vaccination; and (2) a bivalent model where the vaccine remains equally effective against both strains.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Laboratory for Neuropathology, KU Leuven, Leuven, Belgium.
Background: As neurodegenerative diseases advance, postmitotic neurons are affected by disturbed proteostasis and the accumulation of misfolded proteins. This renders neurons sensitive to cell death, ultimately leading to progressive neuron loss. Multiple studies show the involvement of distinct pathways of regulated cell death (RCD) in neurodegenerative diseases, such as necroptosis.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
Background: Frequent and remote cognitive assessment may improve sensitivity to subtle cognitive decline associated with preclinical Alzheimer's disease (AD). Our objective was to evaluate the feasibility, reliability, and construct validity of repeated remote memory assessment in late middle-aged and older adults.
Method: Participants were recruited from longitudinal aging cohorts to complete medial temporal lobe-based memory paradigms (Object-In-Room Recall [ORR], Mnemonic Discrimination for Objects and Scenes [MDT-OS], Complex Scene Recognition [CSR]) using the neotiv application on a smartphone or tablet at repeated intervals over one year.
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