Optimizing community linkage to care and antiretroviral therapy Initiation: Lessons from the Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS) and their adaptation in Nigeria ART Surge.

BACKGROUND: Ineffective linkage to care (LTC) is a known challenge for community HIV testing. To overcome this challenge, a robust linkage to care strategy was adopted by the 2018 Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS). The NAIIS linkage to care strategy was further adapted to improve Nigeria's programmatic efforts to achieve the 1st 90 as part of the Nigeria Antiretroviral Therapy (ART) Surge initiative, which also included targeted community testing. In this paper we provide an overview of the NAIIS LTC strategy and describe the impact of this strategy on both the NAIIS and the Surge initiatives. METHODS: The NAIIS collaborated with community-based organizations (CBOs) and deployed mobile health (mHealth) technology with real-time dashboards to manage and optimize community LTC for people living with HIV (PLHIV) diagnosed during the survey. In NAIIS, CBOs' role was to facilitate linkage of identified PLHIV in community to facility of their choice. For the ART Surge, we modified the NAIIS LTC strategy by empowering both CBOs and mobile community teams as responsible for not only active LTC but also for community testing, ART initiation, and retention in care. RESULTS: Of the 2,739 PLHIV 15 years and above identified in NAIIS, 1,975 (72.1%) were either unaware of their HIV-positive status (N = 1890) or were aware of their HIV-positive status but not receiving treatment (N = 85). Of these, 1,342 (67.9%) were linked to care, of which 952 (70.9%) were initiated on ART. Among 1,890 newly diagnosed PLHIV, 1,278 (67.6%) were linked to care, 33.7% self-linked and 66.3% were linked by CBOs. Among 85 known PLHIV not on treatment, 64 (75.3%) were linked; 32.8% self-linked and 67.2% were linked by a CBO. In the ART Surge, LTC and treatment initiation rates were 98% and 100%, respectively. Three-month retention for monthly treatment initiation cohorts improved from 76% to 90% over 6 months. CONCLUSIONS: Active LTC strategies by local CBOs and mobile community teams improved LTC and ART initiation in the ART Surge initiative. The use of mHealth technology resulted in timely and accurate documentation of results in NAIIS. By deploying mHealth in addition to active LTC, CBOs and mobile community teams could effectively scale up ART with real-time documentation of client-level outcomes.

Scale-up of antiretroviral treatment access among people living with HIV in Rivers State, Nigeria, 2019--2020.

OBJECTIVE: The aim of this study was to describe and evaluate the impact of the programme intervention of the Rivers State Antiretroviral Treatment (ART) Surge, a collaboration between the US President's Emergency Plan for AIDS Relief (PEPFAR) and the State Ministry of Health, to increase HIV case-finding and ART access in Rivers State, the state with the largest ART gap among people living with HIV (PWH) in Nigeria. DESIGN: During April 2019-September 2020, the intervention included six specific strategies: using local government area-level ART gap analysis to guide case-finding; expanding targeted community testing; tailoring comprehensive key population HIV services; engaging HIV treatment programme stakeholders; synchronizing team efforts; and using near real-time data for programme action. METHODS: Weekly reported facility and community data on tests conducted, PWH diagnosed, and PWH initiated on ART were aggregated. The total number of PWH maintained on ART was reported quarterly. RESULTS: During May 2019-September 2020, the weekly number of newly diagnosed PWH initiated on ART supported by PEPFAR in Rivers State increased from 82 to 1723. During October 2019-September 2020, the monthly number of people screened for HIV testing eligibility in the community increased from 44 000 to 360 000. During April 2019-September 2020, the total number of PWH on ART supported by PEPFAR statewide increased by 3.8 times, from 26 041 to 99 733. CONCLUSION: The strategies applied by HIV program stakeholders contributed to scale-up of PWH identification and ART linkage within the Rivers State ART Surge. Continued gains through time indicate the importance of the application of a quality improvement approach to maintain programme flexibility and effectiveness.

Brief Report: Programmatic Scale-up of Tuberculosis Preventive Treatment Among People Living With HIV Through Targeted Technical Assistance to High-Volume Antiretroviral Treatment Sites-Nigeria, 2018-2019.

BACKGROUND: Tuberculosis preventive treatment (TPT) is a critical intervention to reduce tuberculosis mortality among people living with HIV (PLHIV). To facilitate scale-up of TPT among PLHIV, the Nigeria Ministry of Health and the US Centers for Disease Control and Prevention (CDC) Nigeria, supported by US President's Emergency Plan for AIDS Relief implementing partners, launched a TPT-focused technical assistance strategy in high-volume antiretroviral treatment (ART) sites during 2018. SETTING: Nigeria has an estimated 1.9 million PLHIV, representing the second largest national burden of PLHIV in the world, and an estimated 53% of PLHIV are on ART. METHODS: In 50 high-volume ART sites, we assessed readiness for TPT scale-up through use of a standardized tool across the following 5 areas: clinical training, community education, patient management, commodities and logistics management, and recording and reporting. We deployed a site-level continuous quality improvement strategy to facilitate TPT scale-up. Implementing partners rapidly disseminated best practices from these sites to across all CDC-supported sites and reported aggregate data on monthly TPT initiations. RESULTS: Through this targeted assistance and rapid dissemination of best practices to all other sites, the number of PLHIV who initiated TPT across all CDC-supported sites increased from 6622 in May 2018, when the approach was implemented, to 48,661 in September 2018. Gains in monthly TPT initiations were sustained through March 2019. CONCLUSIONS: Use of a standardized tool for assessing readiness for TPT scale-up provided a "checklist" of potential barriers to TPT scale-up to address at each site. The quality improvement approach allowed each site to design a specific plan to achieve desired TPT scale-up, and best practices were implemented concurrently at other, smaller sites. The approach could assist scale-up of TPT among PLHIV in other countries.

Incubation period of typhoidal salmonellosis: a systematic review and meta-analysis of outbreaks and experimental studies occurring over the last century.

BACKGROUND: Salmonella Typhi is a human pathogen that causes typhoid fever. It is a major cause of morbidity and mortality in developing countries and is responsible for several outbreaks in developed countries. Studying certain parameters of the pathogen, such as the incubation period, provides a better understanding of its pathophysiology and its characteristics within a population. Outbreak investigations and human experimental studies provide an avenue to study these relevant parameters. METHODS: In this study, the authors have undertaken a systematic review of outbreak investigation reports and experimental studies, extracted reported data, tested for heterogeneity, identified subgroups of studies with limited evidence of heterogeneity between them and identified factors that may contribute to the distribution of incubation period. Following identification of relevant studies, we extracted both raw and summary incubation data. We tested for heterogeneity by deriving the value of I2 and conducting a KS-test to compare the distribution between studies. We performed a linear regression analysis to identify the factors associated with incubation period and using the resulting p-values from the KS-test, we conducted a hierarchical cluster analysis to classify studies with limited evidence of heterogeneity into subgroups. RESULTS: We identified thirteen studies to be included in the review and extracted raw incubation period data from eleven. The value of I2 was 84% and the proportion of KS test p-values that were less than 0.05 was 63.6% indicating high heterogeneity not due to chance. We identified vaccine history and attack rates as factors that may be associated with incubation period, although these were not significant in the multivariable analysis (p-value: 0.1). From the hierarchical clustering analysis, we classified the studies into five subgroups. The mean incubation period of the subgroups ranged from 9.7 days to 21.2 days. Outbreaks reporting cases with previous vaccination history were clustered in a single subgroup and reported the longest incubation period. CONCLUSIONS: We identified attack rate and previous vaccination as possible associating factors, however further work involving analyses of individual patient data and developing mathematical models is needed to confirm these as well as examine additional factors that have not been included in our study.