scholarly journals Factors Related to Personal Health Data Sharing: Data Usefulness, Sensitivity and Anonymity

Author(s):  
Samar Helou ◽  
Victoria Abou-Khalil ◽  
Elie El Helou ◽  
Ken Kiyono

Using an online survey, we examined the relationships between the perceived usefulness, sensitivity, and anonymity of personal health data and people’s willingness to share it with researchers. An analysis of 112 responses showed that people’s willingness and perceptions are related to the type of the data, their trust in the data’s anonymity, and their personal sociodemographic characteristics. In general, we found that people do not completely trust that their identities remain anonymous when sharing data anonymously with researchers. We also found that they are more willing to share personal health data with researchers if they perceive it as useful for public health research, not sensitive, and if they trust that their identity will remain anonymous after sharing it. We also found that people’s age, gender, occupation, and region of residence may be related to their perceptions regarding the sharing of personal health data.

PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0135545 ◽  
Author(s):  
Irene Jao ◽  
Francis Kombe ◽  
Salim Mwalukore ◽  
Susan Bull ◽  
Michael Parker ◽  
...  

2015 ◽  
Vol 23 (e1) ◽  
pp. e42-e48 ◽  
Author(s):  
Matthew J Bietz ◽  
Cinnamon S Bloss ◽  
Scout Calvert ◽  
Job G Godino ◽  
Judith Gregory ◽  
...  

Abstract Objective: Understand barriers to the use of personal health data (PHD) in research from the perspective of three stakeholder groups: early adopter individuals who track data about their health, researchers who may use PHD as part of their research, and companies that market self-tracking devices, apps or services, and aggregate and manage the data that are generated. Materials and Methods: A targeted convenience sample of 465 individuals and 134 researchers completed an extensive online survey. Thirty-five hour-long semi-structured qualitative interviews were conducted with a subset of 11 individuals and 9 researchers, as well as 15 company/key informants. Results: Challenges to the use of PHD for research were identified in six areas: data ownership; data access for research; privacy; informed consent and ethics; research methods and data quality; and the unpredictable nature of the rapidly evolving ecosystem of devices, apps, and other services that leave “digital footprints.” Individuals reported willingness to anonymously share PHD if it would be used to advance research for the good of the public. Researchers were enthusiastic about using PHD for research, but noted barriers related to intellectual property, licensing, and the need for legal agreements with companies. Companies were interested in research but stressed that their first priority was maintaining customer relationships. Conclusion: Although challenges exist in leveraging PHD for research, there are many opportunities for stakeholder engagement, and experimentation with these data is already taking place. These early examples foreshadow a much larger set of activities with the potential to positively transform how health research is conducted.


2020 ◽  
Author(s):  
Carpio-Arias Tannia Valeria ◽  
Álvarez-Dardet Carlos ◽  
Ruiz-Cantero María Teresa ◽  
Ortíz Rocío

Las políticas públicas son los proyectos que gestiona el gobierno con el fin de satisfacer una necesidad en la sociedad. Objetivo: Analizar la situación de las políticas públicas de investigación en salud en Ecuador. Métodos: Se realizó un estudio FODA (fortalezas, oportunidades, debilidades y amenazas) más un estudio Delphi a 20 informantes clave (sector público y privado) sobre su percepción de los aspectos positivos y negativos de las políticas públicas de investigación en salud del Ecuador en los últimos 8 años (2007-2014). Realización del estudio: Marzo, 2014 a febrero, 2015. Fuente de información: encuesta online. Posteriormente, los participantes ordenaron las tres estrategias más nombradas en cada componente del FODA según su importancia. Tras calcular la mediana, rangos inter cuartil y valores mínimo y máximo, los expertos llegaron al consenso final. Resultados: Los 4 componentes FODA más frecuentes fueron: Fortaleza: Apoyo gubernamental mediante Becas del Gobierno; Oportunidades: Coordinación Interinstitucional y redes de investigación. Debilidades: Trámites burocráticos, especialmente para obtención de fondos económicos para investigación, y evaluaciones de proyectos por profesionales con poca experiencia. Amenazas: Cambios de políticas inesperados, legislación confusa, disminución en los presupuestos. Conclusiones: La investigación y producción científica en el Ecuador presenta cambios importantes, se recomienda aprovechar el apoyo gubernamental, la coordinación y financiamiento institucional, fortaleciendo los recursos destinados para la investigación y evitando los trámites burocráticos y reglamentos confusos. Public policies are the projects that the government manages in order to satisfy a need in society. Objective: To analyze the situation of public health research policies in Ecuador. Methods: A SWOT study (strengths, opportunities, weaknesses and threats) plus a Delphi study was conducted on 20 key informants (public and private sector) on their perception of the positive and negative aspects of Ecuador’s public health research policies in the last 8 years (2007-2014). Conduct of the study: March 2014 to February 2015. Source of information: online survey. Subsequently, the participants ordered the three most-named strategies in each SWOT component according to their importance. After calculating the mean, median and minimum and maximum values, the experts reached the final consensus. Results: The 4 most frequent SWOT components were: Strength: Government support through Government Scholarships; Opportunities: Inter-institutional coordination and research networks. Weaknesses: Bureaucratic procedures, especially to obtain economic funds for research, and project evaluations by professionals with little experience. Threats: Unexpected policy changes, confusing legislation, decrease in budgets. Conclusions: Research and scientific production in Ecuador presents important changes, it is recommended to take advantage of government support, institutional coordination and financing, strengthening the resources allocated for research and avoiding bureaucratic procedures and confusing regulations. Palabras claves: Políticas públicas, Investigación en salud, Ecuador, Delfos. Key words: Public policies, Health research, Ecuador, Delphi.


2015 ◽  
Vol 10 (3) ◽  
pp. 290-301 ◽  
Author(s):  
Spencer G. Denny ◽  
Blessing Silaigwana ◽  
Douglas Wassenaar ◽  
Susan Bull ◽  
Michael Parker

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  

Abstract Longitudinal cohorts, by allowing to follow over the time a group of persons with common characteristics to identify the occurrence of health events, have proven to be very valuable instruments in medical and public health research. For instance, it is possible to investigate links between exposures (demographic, biological, behavioral, environmental, or genetic) and the occurrence of observed health events. And indeed the applications of the cohorts are multiple: besides public health research (links between risk factors or exposures and disease, health effects of unusual or still unknown exposures), it is possible, for example, to investigate the impact of a therapeutic strategy or complex healthcare intervention on the population status. Therefore, observations resulting from cohort studies are now often at the heart of public policy decision-making. In addition, health-data collections are increasingly broad in our societies (data from research, care, patient communities, or using personal initiatives such as smartphone applications and connected objects) and heterogeneous (genomic, physiological, biological, clinical, social and environmental). However, the efficiency of these epidemiological studies is limited by many factors, while resources required to develop them are very important. The lack of knowledge of the European landscape, the lack of harmonization of practices or governance or the lack of communication between various stakeholders, have an impact on the strategy to adopt. It would be essential to consider procedures to optimize resources, harmonize methodologies and coordination between structures, in such a context where epidemiological expertise is sometimes scarce and under-resourced. Furthermore, possibilities of international cross-cohorts linkages and collaborations could allow for unique and fruitful research opportunities, impossible to achieve in the setting of a stand-alone cohort. During this workshop, we propose to present different European initiatives and coordination models, but also to highlight collaborations between these cohorts. This brainstorming would allow us 1) to expose methodologies and best practices, which are developed by the various stakeholders; 2) to identify common or transposable procedures in order to participate in sustainable European strategy and at last, to address the challenges of developing future cohorts and using personal health data. For this purpose, four speakers will present the French landscape developed over the past ten years and three models of cohort coordination and data mining in Europe: the French cohort Constances, the Swedish consortium Cohorts.se and the German National Cohort. Each participant will speak for 15 minutes. Then the chairperson will lead the workshop’s joint discussion with the four speakers and the audience. Key messages cohorts are one of the reference instruments for epidemiological and public health research, and represent a significant advantage in decision support. efforts are need to improve the coordination of these cohorts, both nationally and internationally, to sustain these expensive instruments and foster the development of international collaborations.


2021 ◽  
Vol 42 ◽  
Author(s):  
Jeff Goldsmith ◽  
Yifei Sun ◽  
Linda P. Fried ◽  
Jeannette Wing ◽  
Gary W. Miller ◽  
...  

Data science is a newly‐formed and, as yet, loosely‐defined discipline that has nonetheless emerged as a critical component of successful scientific research. We seek to provide an understanding of the term “data science,” particularly as it relates to public health; to identify ways that data science methods can strengthen public health research; to propose ways to strengthen education for public health data science; and to discuss issues in data science that may benefit from a public health perspective.


Author(s):  
Holly A. Taylor

The systematic collection and analysis of data is central to public health. Some public health activities are easily classified as either research or nonresearch, while the distinction is more nuanced for other activities. How an activity gets classified has ethical implications—additional oversight, requirements for consent of participants, and potentially whether the activity can be undertaken at all. Scholarly analysis of this issue suggests that an important aspect distinguishing research from other public health data collection activities is to consider the intent of the activity and whether experimentation is involved. The three ethical principles of respect for persons, beneficence, and (distributive) justice guide researchers in their relationships with individual participants. Because public health research can be directed at an entire community, this chapter posits that these three principles must be extended to appropriately include and consider the community as a stakeholder.


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