Evidence map›Paper›PMID 41221307›Full record

ReviewPatient preference and adherence2025

Deriving Drug Treatment Preference for Osteoporosis Patients Using Discrete Choice Experiments: A Scoping Review.

Yue Wang, Hui Lu, Guoqing Liu, Congying Niu, Zhenwei Zhang, Qiongling Zhan, Mengmeng Liu, Hanzhi Qin

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yue WangDepartment of Nursing, The First Affiliated Hospital of USTC, Hefei, Anhui, People's Republic of China.ORCID 0000-0002-0561-9289
Hui LuDepartment of Nursing, The First Affiliated Hospital of USTC, Hefei, Anhui, People's Republic of China.
Guoqing LiuDepartment of Nursing,Tianjin First Central Hospital, Tianjin, People's Republic of China.
Congying NiuDepartment of Cardiology, The First Affiliated Hospital of USTC, Hefei, Anhui, People's Republic of China.
Zhenwei ZhangDepartment of Nursing, The First Affiliated Hospital of USTC, Hefei, Anhui, People's Republic of China.
Qiongling ZhanDepartment of Joint Surgery Ward 2, The First Affiliated Hospital of USTC, Hefei, Anhui, People's Republic of China.
Mengmeng LiuDepartment of Joint Surgery Ward 2, The First Affiliated Hospital of USTC, Hefei, Anhui, People's Republic of China.
Hanzhi QinDepartment of Nursing, The First Affiliated Hospital of USTC, Hefei, Anhui, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

discrete choice experimentosteoporosispreferencescoping review

Identifiers

PMID41221307
PMCPMC12599546

What OpenQuestion holds

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Registered trials

None linked

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.