Quantifying retention during pre-antiretroviral treatment in a large urban clinic in Uganda.

BACKGROUND: Retention studies are usually focused on patients on antiretroviral treatment (ART), however in Sub-Saharan Africa many patients get lost to program (LTP) in the pre-ART care period.. We investigated the proportion of patients not retained in care and factors associated with LTP (dead or lost to follow up ≥6 months) in the pre-ART care period. METHODS: We analyzed data from the Infectious Diseases Institute, Kampala, Uganda. We included all adult patients ≥18 years, ART naïve at program enrollment from 1(st)/Jan/2005. We described the number of patients not retained in care during the 3 steps of enrollment-to-treatment "cascade": Step 1) From enrollment to CD4 count testing, Step 2) ART eligibility assessment. Patients were initially considered eligible if CD4 count was 500 cell/μL in 2014), this could lead to an increase in program retention as more people fall under the recommended threshold and seek care

Describing Point of Entry into Care and Being Lost to Program in a Cohort of HIV Positive Pregnant Women in a Large Urban Centre in Uganda.

Introduction. We aim to describe the time of entry into care and factors associated with being lost to program (LTP) in pregnant women on Option B Plus in an integrated HIV and antenatal care (ANC) clinic in Uganda. Methods. We included all pregnant women enrolled into the integrated HIV-ANC clinic from January 2012 to 31st July 2014, while the follow up period extended up to October 30th 2015. LTP was defined as being out of care for ≥3 months. Results. Overall 856 women were included. Only 36.4% (86/236) of the women were enrolled in the first trimester. Overall 69 (8.1%) were LTP. In the multivariate analysis older women (HR: 0.80 per five-year increase, CI: 0.64–1.0, and P=0.060) and women on ART at the time of pregnancy (0.58, CI: 0.34–0.98, and P=0.040) were more likely not to be LTP. Among women already on ART at the time of pregnancy no factor was associated with LTP. Conclusion. Our results suggest the need for interventions to enhance prompt linkage of HIV positive women to HIV services for ART initiation and for increased retention particularly in young and ART naive women

Uptake of hepatitis B-HIV co-infection screening and management in a resource limited setting.

Background: WHO hepatitis B guidelines recommend testing all new HIV patients, treating them accordingly or providing immunization. At the Infectious Diseases Institute (IDI) following an audit done in 2012, only 46% patients had been screened for hepatitis B with variable management plans therefore new internal guidelines were implemented. This study describes the uptake of hepatitis B screening and management of patients with hepatitis B and HIV con-infection after the implementation. Methods: Data included for all HIV positive patients in care at IDI by October 2015. Data are expressed as median with interquartile range (IQR) and percentages were compared using the chi square test. Statistical analysis was performed using STATA version 13. The IDI laboratory upper limit of normal for alanine aminotransferase (ALT) and aspartate aminotransferase (ASTs) was 40 IU/ml. Results: Number of hepatitis B screening tests increased from 800 by 2012 to 1400 in 2015. By 2015 8042/8604(93.5%) patients had been screened for hepatitis B. Overall hepatitis B positive were 359 (4.6%). 166 (81.4%) hepatitis B positives were switched to a tenofovir (TDF) containing regimen. Conclusion: Our study confirms the importance of screening for hepatitis B and of using ART regimens containing tenofovir in hepatitis B co-infected patients. Whilst our program has made improvements in care still 18.6% of patients with hepatitis B were not on tenofovir regimens, 98.1% had no hepatitis B viral loads done. Clinicians should recognize the potential for hepatitis B in HIV positive patients and the importance of early diagnosis and treatment to ensure optimal management of cases and follow up

Describing Point of Entry into Care and Being Lost to Program in a Cohort of HIV Positive Pregnant Women in a Large Urban Centre in Uganda

Introduction. We aim to describe the time of entry into care and factors associated with being lost to program (LTP) in pregnant women on Option B Plus in an integrated HIV and antenatal care (ANC) clinic in Uganda. Methods. We included all pregnant women enrolled into the integrated HIV-ANC clinic from January 2012 to 31st July 2014, while the follow up period extended up to October 30th 2015. LTP was defined as being out of care for ≥3 months. Results. Overall 856 women were included. Only 36.4% (86/236) of the women were enrolled in the first trimester. Overall 69 (8.1%) were LTP. In the multivariate analysis older women (HR: 0.80 per five-year increase, CI: 0.64-1.0, and = 0.060) and women on ART at the time of pregnancy (0.58, CI: 0.34-0.98, and = 0.040) were more likely not to be LTP. Among women already on ART at the time of pregnancy no factor was associated with LTP. Conclusion. Our results suggest the need for interventions to enhance prompt linkage of HIV positive women to HIV services for ART initiation and for increased retention particularly in young and ART naive women

Social determinants of health and long-term conditions in people of Black African and Black Caribbean ethnicity living with HIV in London:A qualitative study

Background: People living with human immunodeficiency virus (HIV) are disproportionately impacted by socioeconomic deprivation and are at increased risk of developing other long-term conditions (LTCs). These illnesses require transformative action to tackle the adverse effects on their health. Data on lived experiences of LTCs among people living with HIV of Black African and Black Caribbean ethnicities are sparse, and how people with LTCs are impacted by social determinants of health (SDoH). Methods: Through a phenomenological study design this qualitative study, conducted in 2022, comprised four focus group discussions (FGDs) with 20 people of Black ethnicities living with HIV were purposively invited from a community organisation (CO) in London, including four semistructured interviews with CO staff. Following transcription, qualitative data were analysed thematically and measures to validate the findings were implemented. Results: The findings are presented in terms of the following four levels of SDoH: (1) individual determinants (such as the impact of SDoH on lifestyle modification and self-management); (2) interpersonal determinants (such as positive experiences of accessing healthcare for LTCs); (3) clinical determinants (such as care pathway barriers) and (4) systemic determinants (such as systemic barriers related to race/ethnicity). Conclusions: It is necessary to provide ongoing and interactive education to community members who live with HIV, focusing on risks and management of LTCs. Additionally, individuals would benefit from support to navigate increasingly complex and fragmented health services. Health Service staff require cultural competence when caring for patients of Black African and Black Caribbean ethnicities with complex health and psychosocial needs. Patient or Public Contribution: The research team collaborated with an HIV CO in South London from the very start of the project to agree the study design and learn about the realities of their daily lived experiences. Community collaborators helped to develop the semistructured interview and FGD topic guides, and were directly involved in the data gathering, analysis and validation.</p

Uncorrected and F&R corrected cumulative mortality estimates in Routine and Research cohorts.

<p>The black triangle relates to the 1^st year mortality estimate obtained from the meta -analytic version of the nomogram method.</p

Differences between patients lost and not traced, patients lost, traced and found and patients lost, traced and not found in the Routine Cohort.

<p>ART  =  Antiretroviral therapy, WHO World Health Organization, d4T  =  stavudine, AZT  =  Zidovudine, 3TC  =  lamivudine, IQR  =  Interquartile range, BMI Body Mass Index.</p

Comparison on methods for correcting mortality in the Research and Routine cohorts.

<p><b>a</b> The corrected mortality estimates with 95% CIs were obtained from the web calculator available at <a href="http://www.iedea-sa.org" target="_blank">http://www.iedea-sa.org</a>.</p