ArticleHealth care analysis : HCA : journal of health philosophy and policy2022
Trust and The Acquisition and Use of Public Health Information.
Article in Health care analysis : HCA : journal of health philosophy and policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed.
- Public perceptions of genetic sequencing in China: barriers and drivers of adoption.European journal of human genetics : EJHG · 2026Article
- Bridging the Gap: Health Education Needs Among Rural Populations with Chronic Illness and Low Health Literacy in Unincorporated Communities in Southern California.International journal of environmental research and public health · 2025Article
- An equity-lens analysis of policies on child health in the Democratic Republic of the Congo.Tropical medicine and health · 2025Article
- Social capital and health consciousness based on regional differences in China: a cross-sectional study.Frontiers in public health · 2025Article
- A study on user willingness to participate in an adverse drug event information sharing system.BMC public health · 2024Article
- How to Elucidate Consent-Free Research Use of Medical Data: A Case for "Health Data Literacy".JMIR medical informatics · 2024Article
- Trust and COVID precautionary measures during the early days of the COVID-19 pandemic: Evidence from two African countries.SSM - population health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Information is clearly vital to public health, but the acquisition and use of public health data elicit serious privacy concerns. One strategy for navigating this dilemma is to build 'trust' in institutions responsible for health information, thereby reducing privacy concerns and increasing willingness to contribute personal data. This strategy, as currently presented in public health literature, has serious shortcomings. But it can be augmented by appealing to the philosophical analysis of the concept of trust. Philosophers distinguish trust and trustworthiness from cognate attitudes, such as confident reliance. Central to this is value congruence: trust is grounded in the perception of shared values. So, the way to build trust in institutions responsible for health data is for those institutions to develop and display values shared by the public. We defend this approach from objections, such as that trust is an interpersonal attitude inappropriate to the way people relate to organisations. The paper then moves on to the practical application of our strategy. Trust and trustworthiness can reduce privacy concerns and increase willingness to share health data, notably, in the context of internal and external threats to data privacy. We end by appealing for the sort of empirical work our proposal requires.
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.