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Discrimination, trust, and withholding information from providers: Implications for missing data and inequity
Paige Nong1, Alicia Williamson2, Denise Anthony1
1University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
Patients experiencing discrimination in healthcare are significantly more likely to withhold information from providers. This non-disclosure, driven by distrust and discrimination experiences, impacts data quality for medical decision-making.
Area of Science:
- Health Services Research
- Patient-Provider Communication
- Health Equity
Background:
- Quality healthcare relies on open patient-provider communication and accurate data.
- Incomplete patient data can bias clinical decision support tools and precision medicine.
- Patient trust and comfort in disclosing information are crucial for data completeness.
Purpose of the Study:
- To assess the relationship between patient experiences of discrimination and withholding information from healthcare providers.
- To examine how different types of patient trust relate to information non-disclosure.
- To investigate the association between specific forms of discrimination and patient non-disclosure.
Main Methods:
- Nationally representative survey of US adults (n=2,029).
- Weighted logistic regression modeling to analyze relationships.
- Analysis of discrimination based on race, education/income, weight, gender, and age.
Main Results:
- Experiences of discrimination significantly increased the likelihood of withholding information (OR 3.7).
- Low trust in provider conflict of interest disclosure and responsible data use were linked to non-disclosure.
- All five common types of discrimination analyzed were significantly associated with patients withholding information.
Conclusions:
- Patient experiences of discrimination and specific types of distrust meaningfully reduce willingness to share health information.
- Systematic data missingness due to non-disclosure disproportionately disadvantages patients who experience discrimination.
- Addressing discrimination and building patient trust are essential for improving data quality and equitable healthcare outcomes.
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