ArticleBMC health services research2025
Preference for HIV testing among community residents in Yunnan Province, China: results from a discrete choice experiment.
Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
- Factors influencing HIV testing choices among Chinese undergraduates: insights from a discrete choice experiment.BMC public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
backgroundThe detection and early identification of people living with HIV/AIDS (PLWH) and their rapid engagement in antiretroviral treatment are indispensable for fighting HIV transmission. This study aimed to elicit preferences regarding HIV testing among community residents to identify a model of community-based HIV testing services that would appeal to this population.
methodsA discrete-choice experiment (DCE) was conducted in the communities of Yunnan Province, China. The participants were asked to make nine choices between two unlabelled alternatives that differed in seven attributes: distance to the testing venue, confidentiality, institution, administrator, support services, testing days, and testing cost. The data were analysed using a random parameter logit model. The preference regression coefficient (β) was used to compare the importance of attribute levels. Relative importance (RI) was used to indicate the degree of importance of each attribute to the participants.
resultsThe results indicate confidentiality was the most important attribute (RI = 39.21%), followed by testing cost (RI = 25.15%), administrator (RI = 11.91%), institution (RI = 11.29%), support services (RI = 8.02%), distance (RI = 4.25%), and testing day (RI = 0.16%). The participants in our study showed a preference for confidentiality regarding the testing status (β = 1.82, p < 0.001), for the test being available at hospitals (β = 0.72, p < 0.001), and for the test being administered by physicians (β = 0.74, p < 0.001). We also observed that having support services was preferable (β = 0.50, p < 0.01) to support services not being available. Free HIV testing was the most preferred cost attribute (β = 1.61, p < 0.001). The distance and testing days were not significantly different (p > 0.05).
conclusionsCommunity residents preferred an HIV testing service run by physicians in high-level health care institutions with excellent confidentiality, low cost, and available support services. Confidentiality remained the most important attribute of the HIV testing service. Worrying that others know the test results is a significant factor influencing testing decision-making and the uptake of testing services. Adjusting the model of community-based HIV testing services according to the preferences of the target population could make it more efficient and effective for the general public, allowing for early detection of HIV infection.
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.