Factors affecting poor measles vaccination coverage in sub-Saharan Africa with a special focus on Nigeria: a narrative review.

Measles is a highly contagious infection that can cause severe illness in children. Vaccination is the primary means of controlling the infection, with elimination a possibility. However, the measles-containing vaccine coverage in sub-Saharan Africa (SSA) is 70% while that for Nigeria is 54% according to official estimates and 64.7% from household surveys. This review aims to identify factors that contribute to the poor coverage rate and proposes appropriate recommendations to address these factors. We conducted a comprehensive search of five databases (MEDLINE, Embase, Global Health, CINAHL Plus and PubMed) using the PICOTS (population, intervention, comparison, outcome, timing, study type) framework. The search was conducted in September 2017 in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and inclusion criteria were studies conducted in SSA, that evaluated measles vaccine coverage gaps, evaluated strategies for improving measles vaccination coverage and were published in English. The database search yielded 23 publications. Several different factors influencing measles vaccine coverage were identified and were grouped into four main areas: immunization system, information and communication, family characteristics and parental attitudes and knowledge. Fears and misconceptions were common reasons for non-vaccination. Activities to improve vaccination coverage were identified, including structural reforms such as siting health centres within or proximal to target communities, improving female literacy and conducting measles vaccination campaigns. Multiple reasons for poor measles vaccination coverage were identified. Factors influencing the immunization system and information and communication factors can be fixed at the country level, but challenges relating to family characteristics and parental attitudes and knowledge require solutions adapted to the community of concern. However, vaccination campaigns are an effective means of improving vaccination coverage and they reduce geographic and socio-economic inequities.

Bridging the HIV treatment gap in Nigeria: examining community antiretroviral treatment models.

INTRODUCTION: Significant 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. METHODS: A 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. RESULTS: Before 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). CONCLUSION: Both 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.

Adherence to On-Time ART Drug Pick-Up and Its Association with CD4 Changes and Clinical Outcomes Amongst HIV Infected Adults on First-Line Antiretroviral Therapy in Nigerian Hospitals.

Medication adherence is a major determinant of antiretroviral treatment (ART) success. Promptness in medication refill pick-ups may give an indication of medication adherence. This study determined medication refill adherence among HIV positive patients on ART and its association with treatment outcomes in HIV treatment centers in Nigeria. This retrospective multi-center cohort study involved a review of ART refill records for 3534 HIV-positive patients aged 18-60 years who initiated first-line ART between January 2008 and December 2009 and were on therapy for ≥18 months after ART initiation. Drug refill records of these patients for 10 consecutive refill visits after ART initiation were analyzed. The first ten consecutive refill appointment-keeping rates after ART initiation ranged from 64.3 % to 76.1 % which decreased with successive visits. Altogether, 743 (21.1 %) patients were deemed adherent, meaning they picked up their drugs within 7 days of the drug refill appointment date on at least nine out of ten refill visits. The adherent group of patients had a mean CD4 cells increase of 206 ± 6.1 cells/dl after 12 months of ART compared to 186 ± 7.1 cells/dl reported among the nonadherent group (p = 0.0145). The proportion of patients in the adherent category who showed no OIs after 12 months on ART (81 %) was significantly higher when compared to the proportion in the non-adherent category (23.5 %), (p = 0.008). The multivariate analysis showed that the odds of being adherent was 2-3 times more in patients who had a baseline CD4 count of less than 200 cells/dl compared to those with a baseline CD4 of >350 cells/dl. (AOR 2.43, 95 % CI 1.62-3.66). In addition, for patients with baseline CD4 cell count of 201-350 cells/dl, the odds of being adherent was found to be 1.9 compared to those with baseline CD4 of greater than 350 cells/dl (AOR 1.93, 95 % CI 1.27-2.94). Pharmacy refill data can serve as an adherence measure. Adherence to on-time drug pickup on ≥90 % of refill appointments was associated with a better CD4 count response and a reduction in the presence of opportunistic infections in ART patients after 12 months of treatment.

Public perception of climate change and its impact on health and environment in rural southwestern Nigeria.

BACKGROUND: Climate change (CC) has received extensive media attention recently, and it is currently on the international public health agenda. A study of knowledge and attitudes to climate change, most especially from rural Nigerian communities, is important for developing adaptation strategies. This is a study of public perceptions of CC and its impact on health and environment in rural southwestern Nigeria. METHODS: This was a community-based descriptive cross-sectional study of 1,019 rural respondents using a multistage sampling method. The research instrument used was a pretested, structured, interviewer-administered questionnaire. Data were analyzed using SPSS software. χ2, Cramér's V, and Kendall's τ-c statistics were employed in addition to fitting the data to a logistic regression model to explore associations found significant on bivariate analysis. RESULTS: Mean age of respondents was 36.9 (±12.4) years. About 911 (89.4%) of respondents opined that there has been a change in climate in the last 10 years. Supernatural reasons were prominent among respondent-reported causes of CC. Identified risky behavior contributing to CC included smoking (10.7%), bush burning (33.4%), and tree felling (41.0%). Poor knowledge of causes but good knowledge of effects of CC were found in this study. About two-thirds of respondents had a positive attitude to causes of CC, while half had a positive attitude to the effects of CC. A significant association was found between educational status (P˂0.001, Kendall's τ-c=-0.042), occupational status (P˂0.01, Kendall's τ-c=0.088), and attitude to causes of CC. Further analysis using logistic regression showed that occupational status was significantly associated with likelihood of having a positive attitude, but educational status and marital status were not. CONCLUSION: Rural areas of Nigeria are vulnerable to the adverse effects of CC. Respondents' poor knowledge but positive attitude to CC calls for dissemination of adequate information on CC in sustained health-promotion programs.

The pattern of attrition from an antiretroviral treatment program in Nigeria.

OBJECTIVE: To evaluate the rate and factors associated with attrition of patients receiving ART in tertiary and secondary hospitals in Nigeria. METHODS AND FINDINGS: We 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. CONCLUSION: Attrition 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.