Public Trust in Health Information Systems:A Strong Fabric or the Emperor’s New Clothes?

public trust;big data;health systems;Public Health;Health Sciences;Social Sciences;Health Services Organization and Policy

Platt, Jodyn ElizabethFriedman, Charles P. ;

University of Michigan

关键词: public trust;    big data;    health systems;    Public Health;    Health Sciences;    Social Sciences;    Health Services Organization and Policy;   

Others  :  https://deepblue.lib.umich.edu/bitstream/handle/2027.42/110346/jeplatt_1.pdf?sequence=1&isAllowed=y

瑞士|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

This dissertation evaluates a model of factors that influence public trust in healthinformation sharing in the context of a broadly defined health system. In the first of threeanalytical papers, I consider characteristics of the individuals in the U.S. population thatpredict system trust. These characteristics include demographic and psychosocial factorsas well as knowledge, attitudes, and beliefs that are hypothesized to contribute to beliefsabout the trustworthiness of the health system. The second paper examines the public’strust in health information brokers – health care providers, public health departments anduniversity researchers – and how this trust is associated with trust in the system generally.The third paper adds two contextual factors – policy environment and personal autonomy– to the investigation of system trust and its predictors. To evaluate each of thesequestions, I conducted a survey using a probability-based sample (n=1,011).Linear regression models predicting system trust explained more than 50% of theobserved variability in system trust. Confidence in the policy environment, trust inhealthcare providers, trust in researchers, and trustor characteristics such as having afavorable view of data sharing, having an expectation of benefit, identity theft, andaltruism were positively associated with system trust. Knowledge negatively predictedsystem trust. Personal autonomy, privacy, belief in medical deception, experience, anddemographic factors were not statistically significant after accounting for all otherfactors.As health information sharing becomes an increasingly ubiquitous practiceresources would be well spent by communicating the personal and social benefits of datasharing and policy makers should not let issues such as privacy overshadow factors thatare as much a concern for assuring trust. Public engagement may leverage trust inhealthcare providers and researchers and should be authentic in efforts to build trust toavoid the danger of undermining trust by adding complexity to an already complicatedsystem. Taken together, these efforts would more likely to strengthen public trust thanefforts to fill knowledge gaps or shift responsibility for data sharing from the expert tothe public.