ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2020
Understanding patients' preferences for osteoporosis treatment: the impact of patients' characteristics on subgroups and latent classes.
Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses 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
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review.PharmacoEconomics · 2025Pooled it
- Stated Preferences of At-Risk Populations for the Treatment of Osteoporosis: A Systematic Review.The patient · 2024Pooled it
- Using discrete choice experiment to investigate public preferences for osteoporosis community-level management strategies in China.Journal of bone and mineral metabolism · 2026Article
- Association Between Lithium Use and Periprosthetic Fracture After Total Hip Arthroplasty.Arthroplasty today · 2025Article
- Deriving Drug Treatment Preference for Osteoporosis Patients Using Discrete Choice Experiments: A Scoping Review.Patient preference and adherence · 2025Review
- The Fracture Phenotypes in Women and Men of 50 Years and Older with a Recent Clinical Fracture.Current osteoporosis reports · 2024Review
- Musculoskeletal patients' preferences for care from physiotherapists or support workers: a discrete choice experiment.BMC health services research · 2024Article
- Patient Perception on Osteoporosis in Korean Female Patients with Osteoporosis.Journal of bone metabolism · 2024Article
- Determining patient preferences for the medical management of osteoporosis using conjoint analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024Article
- Article
- Disease Burden and Treatment Preferences Amongst Postmenopausal Women with Severe Osteoporosis in Greece.Patient preference and adherence · 2023Article
- Cost-effectiveness of Denosumab for the Treatment of Postmenopausal Osteoporosis in Malaysia.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2022Article
- Management of patients at very high risk of osteoporotic fractures through sequential treatments.Aging clinical and experimental research · 2022Review
- Is a treat-to-target strategy in osteoporosis applicable in clinical practice? Consensus among a panel of European experts.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study revealed patterns in osteoporosis patients' treatment preferences, which cannot be related to socio-demographic or clinical characteristics, implicating unknown underlying reasons. Therefore, to improve quality of care and treatment, patients should have an active role in treatment choice, irrespective of their characteristics.
introductionPatient centeredness is important to improve the quality of care. Accounting for patient preferences is a key element of patient centeredness, and understanding preferences are important for successful and adherent treatment. This study was designed to identify different preferences profiles and to investigate how patient characteristics influence treatment preferences of patients for anti-osteoporosis drugs.
methodsData from a discrete choice experiment among 188 osteoporotic patients were used. The hypothetical treatment options were characterized by three attributes: treatment efficacy, side effects, and mode/frequency of administration. A mixed logit model was used to measure heterogeneity across the sample. Subgroup analyses were conducted to identify potential effect of patient characteristics. Latent class modeling (LCM) was applied. Associations between patients' characteristics and the identified latent classes were explored with chi-square.
resultsAll treatment options were important for patients' decision regarding osteoporotic treatment. Significant heterogeneity was observed for most attributes. Subgroup analyses revealed that patients with a previous fracture valued efficacy most, and patients with a fear of needles or aged > 65 years preferred oral tablets. Elderly patients disliked intravenous medication. Three latent classes were identified, in which 6-month subcutaneous injection was preferred in two classes (86%), while oral tablets were preferred in the third class (14%). No statistically significant associations between the profiles regarding socio-demographic or clinical characteristics could be found.
conclusionsThis study revealed patterns in patients' preferences for osteoporosis treatment, which cannot be related to specific socio-demographic or clinical characteristics. Therefore, patients should be involved in clinical decision-making to reveal their preferences.
Indexed as
Identifiers
What OpenQuestion holds
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.