Differential Effects of Patient Navigation across Latent Profiles of Barriers to Care among People Living with HIV and Comorbid Conditions.
Sharleen M TraynorRenae D SchmidtLauren K GoodenTim MathesonLouise HaynesAllan RodriguezMichael MugaveroPetra JacobsRaul MandlerCarlos Del RioAdam W CarricoViviana E HorigianLisa R MetschDaniel J FeasterPublished in: Journal of clinical medicine (2022)
Engaging people living with HIV who report substance use (PLWH-SU) in care is essential to HIV medical management and prevention of new HIV infections. Factors associated with poor engagement in HIV care include a combination of syndemic psychosocial factors, mental and physical comorbidities, and structural barriers to healthcare utilization. Patient navigation (PN) is designed to reduce barriers to care, but its effectiveness among PLWH-SU remains unclear. We analyzed data from NIDA Clinical Trials Network's CTN-0049, a three-arm randomized controlled trial testing the effect of a 6-month PN with and without contingency management (CM), on engagement in HIV care and viral suppression among PLWH-SU ( n = 801). Latent profile analysis was used to identify subgroups of individuals' experiences to 23 barriers to care. The effects of PN on engagement in care and viral suppression were compared across latent profiles. Three latent profiles of barriers to care were identified. The results revealed that PN interventions are likely to be most effective for PLWH-SU with fewer, less severe healthcare barriers. Special attention should be given to individuals with a history of abuse, intimate partner violence, and discrimination, as they may be less likely to benefit from PN alone and require additional interventions.
Keyphrases
- healthcare
- palliative care
- randomized controlled trial
- quality improvement
- clinical trial
- mental health
- physical activity
- affordable care act
- intimate partner violence
- antiretroviral therapy
- pain management
- hepatitis c virus
- systematic review
- sars cov
- hiv infected
- hiv aids
- early onset
- working memory
- artificial intelligence