Cultural identity and patient trust among older American Indians.

J Gen Intern Med

Department of Community and Behavioral Health, College of Public Health, University of Iowa, 105 River Street, N428 CPHB, Iowa City, IA, 52242, USA,

Published: March 2014

Background: Patients' trust in healthcare providers and institutions has been identified as a likely contributor to racial-ethnic health disparities. The likely influence of patients' cultural characteristics on trust is widely acknowledged but inadequately explored.

Objective: To compare levels of patients' trust in primary care provider (interpersonal trust) with trust in healthcare organizations (institutional trust) among older American Indians (AIs), and determine associations with cultural identity.

Design: Patient survey administered following primary care visits.

Participants: Two-hundred and nineteen American Indian patients ≥ 50 years receiving care for a non-acute condition at two clinics operated by the Cherokee Nation in northeastern Oklahoma.

Main Measures: Self-reported sociodemographic and cultural characteristics. Trust was measured using three questions about interpersonal trust and one measure of institutional trust; responses ranged from strongly agree to strongly disagree. Finding substantial variation only in institutional trust, we used logistic generalized estimating equations to examine relationships of patient cultural identity with institutional trust.

Key Results: Ninety-five percent of patients reported trusting their individual provider, while only 46 % reported trusting their healthcare institution. Patients who strongly self-identified with an AI cultural identity had significantly lower institutional trust compared to those self-identifying less strongly (OR: 0.6, 95 % CI: 0.4, 0.9).

Conclusions: Interpersonal and institutional trust represent distinct dimensions of patients' experience of care that may show important relationships to patients' cultural characteristics. Strategies for addressing low institutional trust may have special relevance for patients who identify strongly with AI culture.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3930784PMC
http://dx.doi.org/10.1007/s11606-013-2578-yDOI Listing

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