Racial/ethnic differences in HIV testing: An application of the health services utilization model
This study applying the health services utilization model examined the importance of predisposing, enabling, and need variables to the social mechanisms explaining lifetime HIV testing across racial/ethnic groups. Data for the study were derived from the National Health Interview Survey (collected 2...
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Online Access: | https://doi.org/10.1177/2050312118783414 |
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doaj-2c1ded0dfcf44c3f8777c8a8ec45bf0d2020-11-25T04:08:57ZengSAGE PublishingSAGE Open Medicine2050-31212018-06-01610.1177/2050312118783414Racial/ethnic differences in HIV testing: An application of the health services utilization modelCelia C Lo0Ratonia C Runnels1Tyrone C Cheng2Department of Sociology and Social Work, Texas Woman’s University, Denton, TX, USADepartment of Sociology and Social Work, Texas Woman’s University, Denton, TX, USADepartment of Social Work and Child Advocacy, Montclair State University, NJ, USAThis study applying the health services utilization model examined the importance of predisposing, enabling, and need variables to the social mechanisms explaining lifetime HIV testing across racial/ethnic groups. Data for the study were derived from the National Health Interview Survey (collected 2013–2014), our final sample numbering 18,574 adults. Four subsamples reflected race/ethnicity: 13,347 Whites, 2267 Blacks, 2074 Hispanics, and 886 Asians. Logistic regression established respondent odds of ever having received HIV testing. Further statistical testing evaluated race/ethnicity’s potential moderating role in HIV testing. The findings generally support a role for Aday’s predisposing, enabling, and need factors in explaining HIV testing. Across the four subsamples, female gender, older age, and sexual minority status consistently increased lifetime HIV testing. However, we found racial/ethnic differences in HIV testing’s associations with these factors and others. Our study made a beginning in the effort to specify mechanisms leading to HIV testing—and reliable diagnosis—among four racial/ethnic groups. Understanding these mechanisms might multiply opportunities to raise testing rates for all, in turn reducing racial/ethnic disparities in HIV treatment.https://doi.org/10.1177/2050312118783414 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Celia C Lo Ratonia C Runnels Tyrone C Cheng |
spellingShingle |
Celia C Lo Ratonia C Runnels Tyrone C Cheng Racial/ethnic differences in HIV testing: An application of the health services utilization model SAGE Open Medicine |
author_facet |
Celia C Lo Ratonia C Runnels Tyrone C Cheng |
author_sort |
Celia C Lo |
title |
Racial/ethnic differences in HIV testing: An application of the health services utilization model |
title_short |
Racial/ethnic differences in HIV testing: An application of the health services utilization model |
title_full |
Racial/ethnic differences in HIV testing: An application of the health services utilization model |
title_fullStr |
Racial/ethnic differences in HIV testing: An application of the health services utilization model |
title_full_unstemmed |
Racial/ethnic differences in HIV testing: An application of the health services utilization model |
title_sort |
racial/ethnic differences in hiv testing: an application of the health services utilization model |
publisher |
SAGE Publishing |
series |
SAGE Open Medicine |
issn |
2050-3121 |
publishDate |
2018-06-01 |
description |
This study applying the health services utilization model examined the importance of predisposing, enabling, and need variables to the social mechanisms explaining lifetime HIV testing across racial/ethnic groups. Data for the study were derived from the National Health Interview Survey (collected 2013–2014), our final sample numbering 18,574 adults. Four subsamples reflected race/ethnicity: 13,347 Whites, 2267 Blacks, 2074 Hispanics, and 886 Asians. Logistic regression established respondent odds of ever having received HIV testing. Further statistical testing evaluated race/ethnicity’s potential moderating role in HIV testing. The findings generally support a role for Aday’s predisposing, enabling, and need factors in explaining HIV testing. Across the four subsamples, female gender, older age, and sexual minority status consistently increased lifetime HIV testing. However, we found racial/ethnic differences in HIV testing’s associations with these factors and others. Our study made a beginning in the effort to specify mechanisms leading to HIV testing—and reliable diagnosis—among four racial/ethnic groups. Understanding these mechanisms might multiply opportunities to raise testing rates for all, in turn reducing racial/ethnic disparities in HIV treatment. |
url |
https://doi.org/10.1177/2050312118783414 |
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