ReviewPatient preference and adherence2025
Deriving Drug Treatment Preference for Osteoporosis Patients Using Discrete Choice Experiments: A Scoping Review.
Review in Patient preference and adherence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- [SEIOMM-SEMERGEN-semFYC-SEMG recommendations for the management of patients with osteoporosis/fragility fracture in primary care].Atencion primaria · 2026Guideline
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To conduct a scoping review of discrete choice experiment (DCE) studies assessing medication preference patterns in patients with osteoporosis, focusing on quantifying preference intensities, willingness-to-pay for treatment attributes, and heterogeneity in preferences across patient subgroups. This analysis aims to support evidence-based clinical decision-making. Methods: A scoping review was undertaken, where five electronic databases were searched for key terms to identify eligible DCE studies related to drug treatment preference for osteoporosis patients. We included studies that met criteria, including being published from database establishment until April 20, 2024. Data were systematically extracted, tabulated, and summarised in a narrative review. Results: Nine studies met the inclusion criteria, six of which were conducted in Europe. The included DCE studies contained between 3 and 6 attributes and 2 to 6 levels per attribute. The number of choice sets per study ranged from 8 to 36. Treatment efficacy emerged as the most critical attribute. Subgroup analyses revealed significant preference heterogeneity associated with age, educational attainment, and fracture history. Conclusion: Incorporating quantified patient preferences and WTP metrics into treatment planning may optimize adherence rates and osteoporosis management outcomes. This preference-sensitive approach demonstrates potential to reduce both clinical burden and patient financial burden through value-based treatment allocation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.