ArticleFrontiers in medicine2026
Preferences for implementing training program among primary care physicians in prescribing and deprescribing for patients with multimorbidity: a discrete choice experiment.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Primary care physicians (PCPs) have great needs of receiving training and potential to improve their capacities of prescribing and deprescribing for patients with multimorbidity. However, limited studies focused on PCPs' preferences for how training program is implemented. This study used a discrete choice experiment (DCE) to investigate PCPs' preferences for implementing training program in prescribing and deprescribing for patients with multimorbidity. Methods: This study surveyed PCPs in eastern China from October 10 to December 5, 2024 using an electronic questionnaire. Eight attributes and levels in a DCE were identified based on implementation science theory: instructor composition, teaching model, training location, participant enrollment, session duration, training frequency, assessment methods, and theoretical basis of the course. DCE data were analyzed using a mixed logit model to explore respondents' attribute preferences. Relative importance scores and predicted changes in training implementation selection rates were calculated. Results: The preference model included 2,976 choice observations from 248 respondents. These respondents were 50.4% male and the overall average age was 37.7 years. They showed significant preferences for five attributes, ranked in order of relative importance score: training frequency (37.29%), session duration (27.23%), instructor composition (16.29%), participant enrollment (10.23%), and theoretical basis of the course (8.95%). Scenario analysis revealed that optimizing high-preference attributes (e.g., shorter duration, multidisciplinary instructors) could increase acceptance of weekly training by up to 66.75%. Conclusion: PCPs prioritize time-efficient, high-quality training featuring monthly 45-min sessions, autonomous enrollment, multidisciplinary mentoring, and the use of clinical practice guidelines. Autonomy and flexible formats may increase PCPs' participation, and a modular, interdisciplinary and demand-driven approach is needed to optimize prescribing competencies in multimorbidity care.
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.