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Background <p>Trust is critical for improved management of chronic conditions among minoritized communities, whose history of exclusion may affect their ability to trust health care institutions. Among these groups, Latinos report the lowest levels of trust, making it essential to understand what fosters trust in the health care system. This study is a systematic examination of the literature to identify and map data on Latino adults’ trust in health care of chronic conditions.</p> Methods <p>This scoping review involved a comprehensive search of four databases, PubMed, Scopus (Elsevier), SocINDEX (EBSCO), and PsycINFO (EBSCO), for peer-reviewed articles on health care–related trust among Latino adults and chronic disease care utilization in U.S. primary care between 2004 and 2024. Screening and data extraction took place in Covidence. Two researchers reviewed full-text articles independently. Eligible studies were mapped onto the Health Systems Trust Content Area Framework and analyzed using deductive content analysis to provide a representation of the data and new insights.</p> Results <p>Twenty-eight articles met inclusion criteria. Most studies focused on communication and global trust. Dimensions expanded existing domain definitions relevant to Latino patients: language access, provider-patient concordance, and cumulative health care experiences. Stigma that impacted trust was linked to broader immigration policies and practices.</p> Discussion <p>Findings underscore the need to expand trust models to include social drivers including policy and practice shaping Latino patients’ health care experiences. For example, non-health policies such as immigration policy contribute to care delays and impact health care trust. Understanding how trust is shaped by broader policy environments is essential to inform health systems that positively engage Latino populations.</p>

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Dimensions of Trust in Health Care Experiences Among Latino Patients: A Scoping Review of the Literature

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月7日

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  • Frania Mendoza Lua,
  • Ka’Derricka M. Davis,
  • Andrea Banuelos Mota,
  • Evelyn Luner,
  • Mary Hitchcock,
  • Maria Mora Pinzon,
  • Yohualli B. Anaya

摘要

Background

Trust is critical for improved management of chronic conditions among minoritized communities, whose history of exclusion may affect their ability to trust health care institutions. Among these groups, Latinos report the lowest levels of trust, making it essential to understand what fosters trust in the health care system. This study is a systematic examination of the literature to identify and map data on Latino adults’ trust in health care of chronic conditions.

Methods

This scoping review involved a comprehensive search of four databases, PubMed, Scopus (Elsevier), SocINDEX (EBSCO), and PsycINFO (EBSCO), for peer-reviewed articles on health care–related trust among Latino adults and chronic disease care utilization in U.S. primary care between 2004 and 2024. Screening and data extraction took place in Covidence. Two researchers reviewed full-text articles independently. Eligible studies were mapped onto the Health Systems Trust Content Area Framework and analyzed using deductive content analysis to provide a representation of the data and new insights.

Results

Twenty-eight articles met inclusion criteria. Most studies focused on communication and global trust. Dimensions expanded existing domain definitions relevant to Latino patients: language access, provider-patient concordance, and cumulative health care experiences. Stigma that impacted trust was linked to broader immigration policies and practices.

Discussion

Findings underscore the need to expand trust models to include social drivers including policy and practice shaping Latino patients’ health care experiences. For example, non-health policies such as immigration policy contribute to care delays and impact health care trust. Understanding how trust is shaped by broader policy environments is essential to inform health systems that positively engage Latino populations.