| Title |
Race-based medical mistrust, medication beliefs and HIV treatment adherence: test of a mediation model in people living with HIV/AIDS
|
|---|---|
| Published in |
Journal of Behavioral Medicine, July 2016
|
| DOI | 10.1007/s10865-016-9767-1 |
| Pubmed ID | |
| Authors |
Seth C. Kalichman, Lisa Eaton, Moira O. Kalichman, Tama Grebler, Cynthia Merely, Brandi Welles |
| Abstract |
Race-based medical mistrust significantly predicts non-adherence to antiretroviral therapy (ART) in people living with HIV. The current study builds on previous research that shows beliefs about medication necessity (i.e., "My medicines protect me from becoming worse") and concerns (i.e., "Having to take my medicines worries me") mediate the association between race-based medical mistrust and medication adherence. Racial and ethnic minority men and women living with HIV and receiving ART (N = 178) in a southern US city completed computerized measures of demographic and health characteristics, telephone interviews of race-based medical mistrust and medication beliefs, and unannounced phone-based pill counts for ART adherence. Multiple mediation modeling showed that medical mistrust is related to medication necessity and concerns beliefs and ART adherence. Furthermore, medication necessity beliefs predicted ART adherence. The indirect effect of medical mistrust on adherence through medication necessity beliefs was also significant. Results confirm that medication necessity beliefs, although not concerns beliefs, mediate the association between medical mistrust and ART adherence. Medication necessity beliefs offer a viable target for interventions to improve ART adherence in the context of mistrust that patients may have for medical providers and health care systems. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 14% |
| Student > Master | 10 | 14% |
| Student > Doctoral Student | 9 | 12% |
| Student > Bachelor | 9 | 12% |
| Researcher | 4 | 5% |
| Other | 11 | 15% |
| Unknown | 20 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 14 | 19% |
| Social Sciences | 12 | 16% |
| Psychology | 10 | 14% |
| Medicine and Dentistry | 6 | 8% |
| Neuroscience | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 24 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 August 2016.
All research outputs
#13,985,455
of 22,880,230 outputs
Outputs from Journal of Behavioral Medicine
#754
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Outputs of similar age
#198,669
of 354,637 outputs
Outputs of similar age from Journal of Behavioral Medicine
#16
of 23 outputs
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