The Nigerian health information system policy review of 2014 : the need, content, expectations and progress.

BACKGROUND: Nigeria's national health information system (HIS) data sources are grouped into institutional and population based data that traverse many government institutions. Communication and collaboration between these institutions are limited, fraught with fragmentation and challenges national HIS functionality. OBJECTIVES: The objective of this paper was to share insights from and the implications of a recent review of Nigeria's HIS policy in 2014 that resulted in its substantial revision. We also highlight some subsequent enactments. REVIEW PROCESS AND OUTCOMES: In 2013, Nigeria's Federal Ministry of Health launched an inter-ministerial and multi-departmental review of the National Health Management Information System policy of 2006. The review was guided by World Health Organization's 'Framework and Standards for Country Health Information Systems'. The key finding was a lack of governance mechanisms in the execution of the policy, including an absent data management governance process. The review also found a multiplicity of duplicative, parallel reporting tools and platforms. CONCLUSION: Recommendations for HIS Policy revisions were proposed to and implemented by the Federal Government of Nigeria. The revised HIS policy now provides for a strong framework for the leadership and governance of the HIS with early results.

The health inequity and socioeconomic inequality faced by adolescent girls and women on the move living with or at high risk of HIV infection, during the COVID-19 pandemic in Nigeria.

BACKGROUND: We assessed if women and girls on the move living with or at high risk of HIV faced increased health inequity and socioeconomic inequalities during the COVID-19 pandemic compared with other vulnerable women and girls. METHODS: We used data collected through a survey conducted in Nigeria between June and October 2021. Women and girls living with or at risk of HIV were recruited voluntarily, using a combination of venue-based and snowball sampling. We performed multivariable logistic regression models per mobility and HIV status to determine associations between health inequity, socioeconomic inequalities and macrosocial characteristics. FINDINGS: There were 3442 participants, of which 700 were on the move. We found no statistical difference between HIV-negative women and girls on the move and those not on the move. On the opposite, we found substantial differences in health inequity and socioeconomic inequalities between women and girls on the move living with HIV and those not on the move living with HIV. There are very strong associations between being a woman or girl on the move living with HIV and facing economic precarity (aOR 6.08, 95% CI 1.94 to 19.03), food insecurity (aOR 5.96, 95% CI 2.16 to 16.50) and experiencing more gender-based violence since COVID-19 started (aOR 5.61, 95% CI 3.01 to 10.47). INTERPRETATION: Being a woman or girl on the move and living with HIV compound increased health and socioeconomic vulnerabilities. The COVID-19 crisis seems to have exacerbated inequalities and gender-based violence. These findings call for more feminist interventions to protect women on the move living with HIV during health crises.

Effect of Test and Treat on clinical outcomes in Nigeria: A national retrospective study.

BACKGROUND: In Nigeria, results from the pilot of the Test and Treat strategy showed higher loss to follow up (LTFU) among people living with HIV compared to before its implementation. The aim of this evaluation was to assess the effects of antiretroviral therapy (ART) initiation within 14 days on LTFU at 12 months and viral suppression. METHODS: We conducted a retrospective cohort study using routinely collected de-identified patient-level data hosted on the Nigeria National Data Repository from 1,007 facilities. The study population included people living with HIV age ≥15. We used multivariable Cox proportional frailty hazard models to assess time to LTFU comparing ART initiation strategy and multivariable log-binomial regression for viral suppression. RESULTS: Overall, 26,937 (38.13%) were LTFU at 12 months. Among individuals initiated within 14 days, 38.4% were LTFU by 12 months compared to 35.4% for individuals initiated >14 days (p<0.001). In the adjusted analysis, individuals who were initiated ≤14 days after HIV diagnosis had a higher hazard of being LTFU (aHR 1.15, 95% CI 1.10-1.20) than individuals initiated after 14 days of HIV diagnosis. Among individuals with viral load results, 86.2% were virally suppressed. The adjusted risk ratio for viral suppression among individuals who were initiated ≤14 days compared to >14 days was not statistically significant. CONCLUSION: LTFU was higher among individuals who were initiated within 14 days compared to greater than 14 days after HIV diagnosis. There was no difference for viral suppression. The provision of early tailored interventions to support newly diagnosed people living may contribute to reducing LTFU.