ArticleInternational journal of population data science2018
Public Preferences regarding Data Linkage for Health Research: A Discrete Choice Experiment.
Article in International journal of population data science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review.PharmacoEconomics · 2025Pooled it
- Trial
- Data sharing in cancer research: A qualitative study exploring community members' preferences.Cancer medicine · 2024Article
- Article
- Establishing a national linked database for Fetal Alcohol Spectrum Disorder (FASD) in the UK: multi-method public and professional involvement to determine acceptability and feasibility.International journal of population data science · 2024Article
- Public Preferences for Digital Health Data Sharing: Discrete Choice Experiment Study in 12 European Countries.Journal of medical Internet research · 2023Article
- Expanding citizen engagement in the secondary use of health data: an opportunity for national health data access bodies to realise the intentions of the European health data space.Archives of public health = Archives belges de sante publique · 2023Article
- Article
- Patients' and Publics' Preferences for Data-Intensive Health Research Governance: Survey Study.JMIR human factors · 2022Article
- Feasibility and ethics of using data from the Scottish newborn blood spot archive for research.Communications medicine · 2022Article
- Trust and Trade-Offs in Sharing Data for Precision Medicine: A National Survey of Singapore.Journal of personalized medicine · 2021Article
- Preferences of the Public for Sharing Health Data: Discrete Choice Experiment.JMIR medical informatics · 2021Article
- Considerations for an integrated population health databank in Africa: lessons from global best practices.Wellcome open research · 2021Article
- Trust, security and public interest: striking the balance A narrative review of previous literature on public attitudes towards the sharing, linking and use of administrative data for research.International journal of population data science · 2020Article
- Public preferences regarding data linkage for research: a discrete choice experiment comparing Scotland and Sweden.BMC medical informatics and decision making · 2020Article
- Health Data Linkage for UK Public Interest Research: Key Obstacles and Solutions.International journal of population data science · 2019Article
- A profile of the Grampian Data Safe Haven, a regional Scottish safe haven for health and population data research.International journal of population data science · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The potential for data collected in the public and private sector to be linked and used in research has led to increasing interest in public acceptability of data sharing and data linkage. The literature has identified a range of factors that are important for shaping public responses and in particular has noted that public support for research conducted through data linkage or data sharing is contingent on a number of conditions being met. In order to examine the relative importance of these conditions a Discrete Choice Experiment (DCE) was conducted via an online questionnaire among members of Ipsos MORI's online panel in Scotland. The survey was completed by 1,004 respondents. Overall the two most influential factors shaping respondents' preferences are: the type of data being linked; and, how profits are managed and shared. The type of data being linked is roughly twice as important as who the researchers are. There were slight differences across age groups and between genders and slight differences when comparing respondents with and without long term health conditions. The most notable differences between respondents were found when comparing respondents according to employment and working sector. This study provides much needed evidence regarding the relative importance of various conditions which may be essential for securing and sustaining public support for data-linkage in health research. This may be useful for indicating which factors to focus on in future public engagement and has important implications for the design and delivery of research and public engagement activities. The continuously evolving nature of the field means it will be necessary to revisit the key conditions for public support on an ongoing basis and to examine the contexts and circumstances in which these might change.
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.