2015
DOI: 10.1016/j.sapharm.2012.11.004
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Medication adherence challenges among patients experiencing homelessness in a behavioral health clinic

Abstract: Background Behavioral health medication nonadherence is associated with poor health outcomes and increased healthcare costs. Little is known about reasons for nonadherence with behavioral health medications among homeless people. Objectives To identify reasons for medication nonadherence including the sociodemographic, health-related factors, and behavioral health conditions associated with medication nonadherence among behavioral health patients served by a Health Care for the Homeless center (HCH) in Virgi… Show more

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Cited by 50 publications
(47 citation statements)
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“…Although the link between homelessness and the risk of sub-optimal HAART adherence is well established, the effect of the duration of homelessness on VL dynamics among people living with HIV/AIDS has not been well explored (Coe et al, 2015; Waldrop-Valverde & Valverde, 2005). We have previously described how periods of homelessness are associated with lower likelihoods of optimal adherence, and how homelessness is a structural barrier to virologic response among individuals initiating HAART (Milloy, Kerr, Bangsberg, et al, 2012; Palepu, Milloy, Kerr, Zhang, & Wood, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Although the link between homelessness and the risk of sub-optimal HAART adherence is well established, the effect of the duration of homelessness on VL dynamics among people living with HIV/AIDS has not been well explored (Coe et al, 2015; Waldrop-Valverde & Valverde, 2005). We have previously described how periods of homelessness are associated with lower likelihoods of optimal adherence, and how homelessness is a structural barrier to virologic response among individuals initiating HAART (Milloy, Kerr, Bangsberg, et al, 2012; Palepu, Milloy, Kerr, Zhang, & Wood, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Risk assessment tools relying on selfreported risk behaviours to estimate HIV risk have been successfully implemented among MSM [44] and PWID [45]. Applying algorithms to routinely collect behavioural or STI history data from patients' electronic health records provides additional support in this task [46].…”
Section: Improving Provider Trainingmentioning
confidence: 99%
“…Estimates of new HIV infections occurring within stable, heterosexual partnerships in Africa range from 30 to 60% [39Á44]. WHO has provided guidance on use of PrEP for sero-discordant couples since 2013 [45,46], but the extent to which this has been incorporated into national guidelines across Africa is not clear. Identifying sero-discordant couples is critical as it allows for a range of treatment and prevention interventions, including those to allow safe conception [47] and to prevent transmission in pregnancy, tailored to the couple's particular situation.…”
Section: Prep Provision Among Adolescents and Young Peoplementioning
confidence: 99%
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