Antiretroviral Therapy Adherence and Clinic Attendance Over Time Among People in Argentina Living with HIV and Lost to Care.

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Title: Antiretroviral Therapy Adherence and Clinic Attendance Over Time Among People in Argentina Living with HIV and Lost to Care.
Authors: Sued, Omar (AUTHOR), Rodriguez, Violeta J. (AUTHOR), Weiss, Stephen M. (AUTHOR), Alcaide, Maria Luisa (AUTHOR), Cecchini, Diego (AUTHOR), Cahn, Pedro (AUTHOR), Cassetti, Isabel (AUTHOR), Kaminsky, Chloe J. (AUTHOR), Jones, Deborah L. (AUTHOR)
Source: International Journal of Behavioral Medicine. Jun2026, Vol. 33 Issue 3, p324-334. 11p.
Subjects: Clinical drug trials, Patient compliance, Self-evaluation, Community health services, Poisson distribution, Antiretroviral agents, Research funding, Self-efficacy, Health insurance, Logistic regression analysis, Questionnaires, HIV infections, Descriptive statistics, Psychology of HIV-positive persons, Motivation (Psychology), Odds ratio, Medical appointments, Patient-professional relations, Communication, Cluster sampling, Alcohol drinking, Data analysis software, Confidence intervals, Urban health
Geographic Terms: Argentina
Abstract: Background: Although Argentina provides access to no cost HIV care, treatment adherence and retention in care remain suboptimal. This study aimed to explore factors associated with self-reported adherence and appointment attendance over time. Method: Participants (N = 360) were people living with HIV (PLWH) that were lost to care (i.e., three missed pharmacy pickups in the last 6 months, or had not attended a physician visit in the last 12 months). Participants were recruited from seven HIV clinics in four urban centers in Argentina and re-engaged in care. Demographic variables, predictors, i.e., alcohol use, self-efficacy, motivation, patient-provider communication, insurance type (private/public), and outcomes, i.e., missed infectious disease (ID) specialist appointments, other missed clinic and lab appointments, and self-reported adherence were assessed over 2 years. A logistic regression and Poisson regression model within a generalized linear mixed model framework was used to analyze the association between predictors, treatment adherence outcomes, and interactions with time. Results: Following re-engagement in care, increased alcohol use was associated with lower odds of antiretroviral therapy adherence over time, increased odds of missing ID specialist appointments, and missed clinic/lab appointments. Self-efficacy was associated with better medication adherence and fewer missed ID specialist appointments over time. Similarly, both motivation and patient/provider communication were associated with fewer missed ID specialist and clinic/lab appointments over time. Having private health insurance was also associated with less missed clinic/lab appointments. Conclusion: Findings suggest alcohol use reduction interventions could improve treatment outcomes in this population. Additionally, interventions targeting patient-provider communication and patient self-efficacy and motivation may enhance retention following re-engagement in care. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Antiretroviral Therapy Adherence and Clinic Attendance Over Time Among People in Argentina Living with HIV and Lost to Care.
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  Data: Background: Although Argentina provides access to no cost HIV care, treatment adherence and retention in care remain suboptimal. This study aimed to explore factors associated with self-reported adherence and appointment attendance over time. Method: Participants (N = 360) were people living with HIV (PLWH) that were lost to care (i.e., three missed pharmacy pickups in the last 6 months, or had not attended a physician visit in the last 12 months). Participants were recruited from seven HIV clinics in four urban centers in Argentina and re-engaged in care. Demographic variables, predictors, i.e., alcohol use, self-efficacy, motivation, patient-provider communication, insurance type (private/public), and outcomes, i.e., missed infectious disease (ID) specialist appointments, other missed clinic and lab appointments, and self-reported adherence were assessed over 2 years. A logistic regression and Poisson regression model within a generalized linear mixed model framework was used to analyze the association between predictors, treatment adherence outcomes, and interactions with time. Results: Following re-engagement in care, increased alcohol use was associated with lower odds of antiretroviral therapy adherence over time, increased odds of missing ID specialist appointments, and missed clinic/lab appointments. Self-efficacy was associated with better medication adherence and fewer missed ID specialist appointments over time. Similarly, both motivation and patient/provider communication were associated with fewer missed ID specialist and clinic/lab appointments over time. Having private health insurance was also associated with less missed clinic/lab appointments. Conclusion: Findings suggest alcohol use reduction interventions could improve treatment outcomes in this population. Additionally, interventions targeting patient-provider communication and patient self-efficacy and motivation may enhance retention following re-engagement in care. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1007/s12529-025-10356-z
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      – Code: eng
        Text: English
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      – SubjectFull: Clinical drug trials
        Type: general
      – SubjectFull: Patient compliance
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      – SubjectFull: Self-evaluation
        Type: general
      – SubjectFull: Community health services
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      – SubjectFull: Poisson distribution
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      – SubjectFull: Antiretroviral agents
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      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Self-efficacy
        Type: general
      – SubjectFull: Health insurance
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      – SubjectFull: Logistic regression analysis
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      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: HIV infections
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Psychology of HIV-positive persons
        Type: general
      – SubjectFull: Motivation (Psychology)
        Type: general
      – SubjectFull: Odds ratio
        Type: general
      – SubjectFull: Medical appointments
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      – SubjectFull: Cluster sampling
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      – SubjectFull: Alcohol drinking
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      – SubjectFull: Data analysis software
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      – SubjectFull: Confidence intervals
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      – SubjectFull: Urban health
        Type: general
      – SubjectFull: Argentina
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              Text: Jun2026
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