Good intentions are not enough: how informatics interventions can worsen inequality
By Tiffany C. Veinot, Hannah Mitchell, Jessica S. Ancker. J. Am. Medical Informatics Assoc., 2018
592 citations recorded by the source corpus.
Subfields: Demography, General Health Professions, Health
View Paper: https://www.semanticscholar.org/paper/5119042e77a5690aa235b6b4f260a3fd2aacca01
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In Demography
In General Health Professions
In Health
Citations in the corpus
- Inequities in Health Care Services Caused by the Adoption of Digital Health Technologies: Scoping Review (2021, background): “…those who develop and apply these interventions, including policymakers and public health professionals, should have a better understanding of whether, how, and under what circumstances digital health technology interventions can overcome inequities and realize their potential [19,40,51,61].”
- A framework for digital health equity (2022, background): “Health interventions often lead to intervention-generated inequalities as they are typically adopted unevenly with disparity populations lagging behind 47 .”
- To Trust or to Think (2021, methodology): “IGIs arise when the benefits of an intervention disproportionately accrue to a group that is already privileged in a particular context [60].”
- Back to the Future: Achieving Health Equity Through Health Informatics and Digital Health (2019, background): “A lack of acknowledgment of these inequities could lead to their further propagation and widen the digital divide by disproportionately providing beneficial technologies to nonmarginalized groups that already have health-related advantages [42,44].”