Health Care Access and Utilization for American Indian Elders: A Concept-Mapping Study

J Gerontol B Psychol Sci Soc Sci. 2021 Jan 1;76(1):141-151. doi: 10.1093/geronb/gbz112.

Abstract

Objectives: Inequities in access to and utilization of health care greatly influence the health and quality of life of American Indian elders (AIEs). This study explores the importance and perceived prevalence of factors affecting health care use within this population and assesses the changeability of these factors to produce a list of action items that are timely and relevant to improving health care access and utilization.

Method: Concept mapping was conducted with AIEs (n = 65) and professional stakeholders (n = 50), including tribal leaders, administrators of public-sector health systems, outreach workers, and health care providers. Data were analyzed using multidimensional scaling and cluster analyses.

Results: The final concept-map model comprised nine thematic clusters related to factors affecting elder health care: Difficulties Obtaining and Using Insurance; Insecurity from Lack of Knowledge; Limited Availability of Services; Scheduling Challenges; Provider Issues and Relationships; Family and Emotional Challenges; Health-Related Self-Efficacy and Knowledge; Accessibility and Transportation Barriers; and Tribal/National Policy.

Discussion: Findings suggest that improvements in access to and utilization of health care among AIEs will require actions across multiple domains, including health system navigation services, workforce improvements, and tribal, state, and federal policy. A multilevel socioecological approach is necessary to organize and undertake these actions.

Keywords: Health disparities; Health services use; Insurance; Minority aging (race/ethnicity).

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Aged
  • Aged, 80 and over
  • Aging / ethnology*
  • American Indian or Alaska Native / statistics & numerical data*
  • Cluster Analysis
  • Facilities and Services Utilization / statistics & numerical data*
  • Female
  • Health Knowledge, Attitudes, Practice / ethnology
  • Health Services Accessibility / statistics & numerical data*
  • Healthcare Disparities / statistics & numerical data*
  • Humans
  • Insurance, Health / statistics & numerical data*
  • Male
  • Qualitative Research
  • Stakeholder Participation