Lessons From Rapid Field Implementation of an HIV Population-Based Survey in Nigeria, 2018. (1st August 2021)

• Record Type: Journal Article
• Authors: Jahun, Ibrahim; Greby, Stacie M.; Adesina, Tina; Agbakwuru, Chinedu; Dalhatu, Ibrahim; Yakubu, Aminu; Jelpe, Tapdiyel; Okoye, McPaul; Ikpe, Sunday; Ehoche, Akipu; Abimiku, Alash'le; Aliyu, Gambo; Charurat, Manhattan; Greenwell, Geoffrey; Bronson, Megan; Patel, Hetal; McCracken, Stephen; Voetsch, Andrew C.; Parekh, Bharat; Swaminathan, Mahesh; Adewole, Isaac; Aliyu, Sani
• Is Part Of: Journal of acquired immune deficiency syndromes. Volume 87(2021)Supplement
• Publication Date: 2021-08-01
• Subjects: HIV household survey -- NAIIS -- survey methods -- responsive design -- real-time monitoring -- dashboards; AIDS (Disease) -- Periodicals; Acquired Immunodeficiency Syndrome -- Periodicals; AIDS (Disease); Periodicals; 616.9792005
• DOI: 10.1097/QAI.0000000000002709
• Languages: English
• ISSNs: 1525-4135

Abstract

Abstract : Background: The need for accurate HIV annual program planning data motivated the compressed timeline for the 2018 Nigerian HIV/AIDS Indicator and Impact Survey (NAIIS). The survey team used stakeholder cooperation and responsive design, using survey process and paradata to refine survey implementation, to quickly collect high-quality data. We describe processes that led to generation of data for program and funding decisions, ensuring HIV services were funded in 2019. Setting: Nigeria is the most populous country in Africa, with approximately 195 million people in 36 states and the Federal Capital Territory. Challenges include multiple security threats, poor infrastructure, seasonal rains, and varied health system capacity. Methods: Stakeholders worked together to plan and implement NAIIS. Methods from other population-based HIV impact assessments were modified to meet challenges and the compressed timeline. Data collection was conducted in 6 webs. Responsive design included reviewing survey monitoring paradata and laboratory performance. Costs required to correct data errors, for example, staff time and transportation, were tracked. Results: NAIIS data collection was completed in 23 weeks, ahead of the originally scheduled 24 weeks. Responsive design identified and resolved approximately 68, 000 interview errors, affecting approximately 62, 000 households, saving about US$4.4 million in costs. Biweekly field laboratory test quality control improved from 50% to 100% throughout NAIIS. Conclusions: Cooperation across stakeholders and responsive design ensured timely release of NAIIS results and informed planning for HIV epidemic control in Nigeria. Based on NAIIS results, funds were provided to place an additional 500, 000 HIV-positive Nigerians on antiretroviral therapy by the end of 2020, pushing Nigeria toward epidemic control.