Access to pediatric HIV treatment in resource-limited settings has risen significantly. However, little is known about the quality of care that pediatric or adolescent patients receive. The objective of this study is to explore quality of HIV care and treatment in Nigeria and to determine the association between quality of care, loss-to-follow-up and mortality. A retrospective cohort study was conducted including patients ≤18 years of age who initiated ART between November 2002 and December 2011 at 23 sites across 10 states. 1,516 patients were included. A quality score comprised of 6 process indicators was calculated for each patient. More than half of patients (55.5%) were found to have a high quality score, using the median score as the cut-off. Most patients were screened for tuberculosis at entry into care (81.3%), had adherence measurement and counseling at their last visit (88.7% and 89.7% respectively), and were prescribed co-trimoxazole at some point during enrollment in care (98.8%). Thirty-seven percent received a CD4 count in the six months prior to chart review. Mortality within 90 days of ART initiation was 1.9%. A total of 4.2% of patients died during the period of follow-up (mean: 27 months) with 19.0% lost to follow-up. In multivariate regression analyses, weight for age z-score (Adjusted Hazard Ratio (AHR): 0.90; 95% CI: 0.85, 0.95) and high quality indicator score (compared a low score, AHR: 0.43; 95% CI: 0.26, 0.73) had a protective effect on mortality. Patients with a high quality score were less likely to be lost to follow-up (Adjusted Odds Ratio (AOR): 0.42; 95% CI: 0.32, 0.56), compared to those with low score. These findings indicate that providing high quality care to children and adolescents living with HIV is important to improve outcomes, including lowering loss to follow-up and decreasing mortality in this age group.

IntroductionClinical outcome is an important determinant of programme success. This study aims to evaluate patients’ baseline characteristics as well as level of care associated with lost to follow-up (LTFU) and mortality of patients on antiretroviral treatment (ART).MethodsRetrospective cohort study using routine service data of adult patients initiated on ART in 2007 in 10 selected hospitals in Nigeria. We captured data using an electronic medical record system and analyzed using Stata. Outcome measures were probability of being alive and retained in care at 12, 24 and 36 months on ART. Potential predictors associated with time to mortality and time to LTFU were assessed using competing risks regression models.ResultsAfter 12 months on therapy, 85% of patients were alive and on ART. Survival decreased to 81.2% and 76.1% at 24 and 36 months, respectively. Median CD4 count for patients at ART start, 12, 18 and 24 months were 152 (interquartile range, IQR: 75 to 242), 312 (IQR: 194 to 450), 344 (IQR: 227 to 501) and 372 (IQR: 246 to 517) cells/µl, respectively. Competing risk regression showed that patients’ baseline characteristics significantly associated with LTFU were male (adjusted sub-hazard ratio, sHR=1.24 [95% CI: 1.08 to 1.42]), ambulatory functional status (adjusted sHR=1.25 [95% CI: 1.01 to 1.54]), World Health Organization (WHO) clinical Stage II (adjusted sHR=1.31 [95% CI: 1.08 to 1.59]) and care in a secondary site (adjusted sHR=0.76 [95% CI: 0.66 to 0.87]). Those associated with mortality include CD4 count <50 cells/µl (adjusted sHR=2.84 [95% CI: 1.20 to 6.71]), WHO clinical Stage III (adjusted sHR=2.67 [95% CI: 1.26 to 5.65]) and Stage IV (adjusted sHR=5.04 [95% CI: 1.93 to 13.16]) and care in a secondary site (adjusted sHR=2.21 [95% CI: 1.30 to 3.77]).ConclusionsMortality was associated with advanced HIV disease and care in secondary facilities. Earlier initiation of therapy and strengthening systems in secondary level facilities may improve retention and ultimately contribute to better clinical outcomes.

IntroductionSignificant gaps persist in providing HIV treatment to all who are in need. Restricting care delivery to healthcare facilities will continue to perpetuate this gap in limited resource settings. We assessed a large‐scale community‐based programme for effectiveness in identifying people living with HIV and linking them to antiretroviral treatment.MethodsA retrospective secular trend study of 14 high burden local government areas of Nigeria was conducted in which two models of community antiretroviral treatment delivery were implemented: Model A (on‐site initiation) and Model B (immediate referral) clusters. Model A cluster offered services within communities, from HIV diagnosis to immediate antiretroviral therapy initiation and some follow‐up. Model B cluster offered services for HIV diagnosis up to baseline evaluation and provided referral for antiretroviral therapy initiation to nearest health facility providing HIV services. For controls, we selected and cluster‐matched 34 local government areas where community antiretroviral treatment delivery was not implemented. Outcomes of interest were: the number of people identified as HIV positive and the number of HIV‐positive individuals started on antiretroviral treatment; from June 2014 to May 2016. We used interrupted time‐series analysis to estimate outcome levels and trends across the pre‐and post‐intervention periods.ResultsBefore community antiretrovial treatment introduction, Model A cluster identified, per 100,000 catchment population, 500 HIV‐positives (95% CI: 399.66 to 601.41) and initiated 216 HIV‐positives on antiretroviral treatment (95% CI: 152.72 to 280.10). Model B cluster identified 32 HIV‐positives (95% CI: 25.00 to 40.51) and initiated 8 HIV‐positives on antiretroviral treatment (95% CI: 5.54 to 10.33). After commART introduction, Model A cluster showed an immediate significant increase in 744 HIV‐positive persons (p = 0.00, 95% CI: 360.35 to 1127.77) and 560 HIV‐positives initiated on treatment (p = 0.00, 95% CI: 260.56 to 859.64). Model B cluster showed an immediate significant increase in 30 HIV‐positive persons identified (p = 0.01, 95% CI: 8.38 to 51.93) but not in the number of HIV‐positives initiated on treatment. Model B cluster showed increased month‐on‐month trends of both outcomes of interest (3.4, p = 0.02, 95% CI: 0.44 to 6.38).ConclusionBoth community‐models had similar population‐level effectiveness for rapidly identifying people living with HIV but differed in effectively transitioning them to treatment. Comprehensiveness, integration and attention to barriers to care are important in the design of community antiretroviral treatment delivery.

ObjectiveTo evaluate the rate and factors associated with attrition of patients receiving ART in tertiary and secondary hospitals in Nigeria.Methods and FindingsWe reviewed patient level data collected between 2007 and 2010 from 11 hospitals across Nigeria. Kaplan-Meier product-limit and Cox regression were used to determine probability of retention in care and risk factors for attrition respectively. Of 6,408 patients in the cohort, 3,839 (59.9%) were females, median age of study population was 33years (IQR: 27–40) and 4,415 (69%) were from secondary health facilities. The NRTI backbone was Stavudine (D4T) in 3708 (57.9%) and Zidovudine (ZDV) in 2613 (40.8%) of patients. Patients lost to follow up accounted for 62.7% of all attrition followed by treatment stops (25.3%) and deaths (12.0%). Attrition was 14.1 (N = 624) and 15.1% (N = 300) in secondary and tertiary hospitals respectively (p = 0.169) in the first 12 months on follow up. During the 13 to 24 months follow up period, attrition was 10.7% (N = 407) and 19.6% (N = 332) in secondary and tertiary facilities respectively (p<0.001). Median time to lost to follow up was 11.1 (IQR: 6.1 to 18.5) months in secondary compared with 13.6 (IQR: 9.9 to 17.0) months in tertiary sites (p = 0.002). At 24 months follow up, male gender [AHR 1.18, 95% CI: 1.01–1.37, P = 0.038]; WHO clinical stage III [AHR 1.30, 95%CI: 1.03–1.66, P = 0.03] and clinical stage IV [AHR 1.90, 95%CI: 1.20–3.02, p = 0.007] and care in a tertiary hospital [AHR 2.21, 95% CI: 1.83–2.67, p<0.001], were associated with attrition.ConclusionAttrition could potentially be reduced by decentralizing patients on ART after the first 12 months on therapy to lower level facilities, earlier initiation on treatment and strengthening adherence counseling amongst males.

Health care Workers (HcWs) are at risk of exposure to infections during the course of carrying out their duties. the practice of standard precautions among healthcare workers (HcWs) in public health facilities in Abuja, Nigeria was evaluated. A cross-sectional survey of 277 HcWs was conducted using a structured questionnaire. Of 277 participants, 83 (29.96%) were doctors; 194 (70.04%) were nurses. Median age (in years) of doctors was 34 (IQr: 30, 39), while nurses was 39 (IQr: 33, 45). Median years of experience for doctors was 7 (IQr: 4, 10) while nurses was 15 (IQr: 9, 20). Only 16.61% of participants had knowledge of the basic concept of standard precautions and 42.24% knew potential sources of occupational exposure. the association between the knowledge of the potential sources of occupational exposures and profession was significant (p=0.011). Hand washing was practiced by 97.46%; 97.83% reported regular use of hand gloves; 88.44% use gown or plastic apron; 68.95% use masks and eye protector. the major factor reported for non-adherence was nonavailability of the materials. Practice of recapping used needle was more common among doctors than nurses (p=0.01). The HCWs hepatitis-B vaccination status was poor; 32.53% of doctors and 28.87% of nurses had ≥1 dose of hepatitis-B vaccine. The difference in hepatitis-B immunization status of doctors and nurses was not significant (p=0.556).