{"id":{"repo_id":"unt","oai_identifier":"info:ark/67531/metadc2570"},"canonical_url":"https://search.dev.ndltd.org/etd/unt/info:ark/67531/metadc2570","repository":{"repo_id":"unt","name":"University of North Texas","base_url":"https://digital.library.unt.edu/oai/"},"display":{"title":"The Application of a Health Service Utilization Model to a Low Income, Ethnically Diverse Sample of Women","abstract":"A model for health care utilization was applied to a sample of low income women. Demographic Predisposing, Psychosocial Predisposing, Illness Level, and Enabling indicators were examined separately for African American (n = 266), Anglo American (n = 200), and Mexican American (n = 210) women. Structural Equation Modeling revealed that for African American and Anglo American women, Illness Level, the only significant path to Utilization, had a mediating effect on Psychosocial Predisposing indicators. The model for Mexican Americans was the most complex with Enabling indicators affecting Illness Level and Utilization. Psychosocial Predisposing indicators were mediated by Illness Level and Enabling indicators which both directly affected Utilization. Implications of the results for future research are addressed.","abstract_html":"A model for health care utilization was applied to a sample of low income women. Demographic Predisposing, Psychosocial Predisposing, Illness Level, and Enabling indicators were examined separately for African American (n = 266), Anglo American (n = 200), and Mexican American (n = 210) women. Structural Equation Modeling revealed that for African American and Anglo American women, Illness Level, the only significant path to Utilization, had a mediating effect on Psychosocial Predisposing indicators. The model for Mexican Americans was the most complex with Enabling indicators affecting Illness Level and Utilization. Psychosocial Predisposing indicators were mediated by Illness Level and Enabling indicators which both directly affected Utilization. Implications of the results for future research are addressed.","abstract_has_math":false,"creators":["Keenan, Lisa A."],"institution":"University of North Texas","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Marshall, Linda L.","Guarnaccia, Charles A.","Eve, Susan Brown"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2000,"date_issued":"2000-08","date_published":"2000-08","updated_at":"2026-07-24T05:34:52Z","subjects":["Poor women -- Medical care -- United States.","health care utilization","low income women","Illness Level","Anglo American"],"languages":["English"],"rights":["Use restricted to UNT Community","Copyright","Keenan, Lisa A.","Copyright is held by the author, unless otherwise noted. 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Demographic Predisposing, Psychosocial Predisposing, Illness Level, and Enabling indicators were examined separately for African American (n = 266), Anglo American (n = 200), and Mexican American (n = 210) women. Structural Equation Modeling revealed that for African American and Anglo American women, Illness Level, the only significant path to Utilization, had a mediating effect on Psychosocial Predisposing indicators. The model for Mexican Americans was the most complex with Enabling indicators affecting Illness Level and Utilization. Psychosocial Predisposing indicators were mediated by Illness Level and Enabling indicators which both directly affected Utilization. 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