Predictors of loss to follow-up before HIV treatment initiation in Northwest Ethiopia: a case control study.

BACKGROUND: In Ethiopia, there is a growing concern about the increasing rates of loss to follow-up (LTFU) in HIV programs among people waiting to start HIV treatment. Unlike other African countries, there is little information about the factors associated with LTFU among pre-antiretroviral treatment (pre-ART) patients in Ethiopia. We conducted a case-control study to investigate factors associated with pre-ART LTFU in Ethiopia. METHODS: Charts of HIV patients newly enrolled in HIV care at Gondar University Hospital (GUH) between September 11, 2008 and May 8, 2011 were reviewed. Patients who were "loss to follow-up" during the pre-ART period were considered to be cases and patients who were "in care" during the pre-ART period were controls. Logistic regression analysis was used to explore factors associated with pre-ART LTFU. RESULTS: In multivariable analyses, the following factors were found to be independently associated with pre-ART LTFU: male gender [Adjusted Odds Ratio (AOR) = 2.00 (95% CI: 1.15, 3.46)], higher baseline CD4 cell count (251-300 cells/µl [AOR = 2.64 (95% CI: 1.05, 6.65)], 301-350 cells/µl [AOR = 5.21 (95% CI: 1.94, 13.99)], and >350 cells/µl [AOR = 12.10 (95% CI: 6.33, 23.12)] compared to CD4 cell count of ≤ 200 cells/µl) and less advanced disease stage (WHO stage I [AOR = 2.81 (95% CI: 1.15, 6.91)] compared to WHO stage IV). Married patients [AOR = 0.39 (95% CI: 0.19, 0.79)] had reduced odds of being LTFU. In addition, patients whose next visit date was not documented on their medical chart [AOR = 241.39 (95% CI: 119.90, 485.97)] were more likely to be LTFU. CONCLUSION: Our study identified various factors associated with pre-ART LTFU. The findings highlight the importance of giving considerable attention to pre-ART patients' care from the time that they learn of their positive HIV serostatus. The completeness of the medical records, the standard of record keeping and obstacles to retrieving charts also indicate a serious problem that needs due attention from clinicians and data personnel.

Characterising persons diagnosed with HIV as either recent or long-term using a cross-sectional analysis of recent infection surveillance data collected in Malawi from September 2019 to March 2020.

OBJECTIVES: In Malawi, a recent infection testing algorithm (RITA) is used to characterise infections of persons newly diagnosed with HIV as recent or long term. This paper shares results from recent HIV infection surveillance and describes distribution and predictors. SETTING: Data from 155 health facilities in 11 districts in Malawi were pooled from September 2019 to March 2020. PARTICIPANTS: Eligible participants were ≥13 years, and newly diagnosed with HIV. Clients had RITA recent infections if the rapid test for recent infection (RTRI) test result was recent and viral load (VL) ≥1000 copies/mL; if VL was <1000 copies/mL the RTRI result was reclassified as long-term. Results were stratified by age, sex, pregnancy/breastfeeding status and district. RESULTS: 13 838 persons consented to RTRI testing and 12 703 had valid RTRI test results and VL results after excluding clients not newly HIV-positive, RTRI negative or missing data (n=1135). A total of 12 365 of the 12 703 were included in the analysis after excluding those whose RTRI results were reclassified as long term (n=338/784 or 43.1%). The remainder, 446/12 703 or 3.5%, met the definition of RITA recent infection. The highest percentage of recent infections was among breastfeeding women (crude OR (COR) 3.2; 95% CI 2.0 to 5.0), young people aged 15-24 years (COR 1.6; 95% CI 1.3 to 1.9) and persons who reported a negative HIV test within the past 12 months (COR 3.3; 95% CI 2.6 to 4.2). Factors associated with recent infection in multivariable analysis included being a non-pregnant female (adjusted OR (AOR) 1.4; 95% CI 1.2 to 1.8), a breastfeeding female (AOR 2.2; 95% CI 1.4 to 3.5), aged 15-24 years (AOR 1.6; 95% CI 1.3 to 1.9) and residents of Machinga (AOR 2.0; 95% CI 1.2 to 3.5) and Mzimba (AOR 2.4; 95% CI 1.3 to 4.5) districts. CONCLUSIONS: Malawi's recent HIV infection surveillance system demonstrated high uptake and identified sub-populations of new HIV diagnoses with a higher percentage of recent infections.

Loss to follow-up before and after initiation of antiretroviral therapy in HIV facilities in Lilongwe, Malawi.

INTRODUCTION: Although several studies have explored factors associated with loss to follow-up (LTFU) from HIV care, there remains a gap in understanding how these factors vary by setting, volume of patient and patients' demographic and clinical characteristics. We determined rates and factors associated with LTFU in HIV care Lilongwe, Malawi. METHODS: We conducted a retrospective cohort study of HIV-infected individuals aged 15 years or older at the time of registration for HIV care in 12 ART facilities, between April 2012 and March 2013. HIV-positive individuals who had not started ART (pre-ART patients) were clinically assessed to determine ART eligibility at registration and during clinic follow-up visits. ART-eligible patients were initiated on triple antiretroviral combination. Study data were abstracted from patients' cards, facility ART registers or electronic medical record system from the date of registration for HIV care to a maximum follow-up period of 24 months. Descriptive statistics were undertaken to summarize characteristics of the study patients. Separate univariable and multivariable poisson regression models were used to explore factors associated with LTFU in pre-ART and ART care. RESULTS: A total of 10,812 HIV-infected individuals registered for HIV care. Of these patients, 1,907 (18%) and 8,905 (82%) enrolled in pre-ART and ART care, respectively. Of the 1,907 pre-ART patients, 490 (26%) subsequently initiated ART and were included in both the pre-ART and ART analyses. The LTFU rates among patients in pre-ART and ART care were 48 and 26 per 100 person-years, respectively. Of the 9,105 ART patients with reasons for starting ART, 2,451 (27%) were initiated on ART because of pregnancy or breastfeeding (Option B+) status. Multivariable analysis showed that being ≥35 years and female were associated with decreased risk of LTFU in the pre-ART and ART phases of HIV care. However, being in WHO clinical stage 3 (adjusted risk ratio (aRR) 1.35, 95% confidence interval (CI): 1.20-1.51) and stage 4 (aRR 1.87, 95% CI: 1.62-2.18), body mass index ≤ 18.4 (aRR 1.24, 95% CI: 1.11-1.39) at ART initiation, poor adherence to clinic appointments (aRR 4.55, 95% CI: 4.16-4.97) and receiving HIV care in rural facilities (aRR 2.32, 95% CI: 1.94-2.87) were associated with increased risk of LTFU among ART patients. Being re-initiated on ART once (aRR 0.20, 95% CI: 0.17-0.22), more than once (aRR 0.06, 95% CI: 0.05-0.07), and being enrolled at a low-volume facility (aRR 0.25, 95% CI: 0.20-0.30) were associated with decreased risk of LTFU from ART care. CONCLUSION: A sizeable proportion of ART LTFU occurred among women enrolled during pregnancy or breast-feeding. Non- compliance to clinic and receiving ART in a rural facility or high-volume facility were associated with increased risk of LTFU from ART care. Developing effective interventions that target high-risk subgroups and contexts may help reduce LTFU from HIV care.