Evidence map›Paper›PMID 34471388›Full record

ArticleHIV/AIDS (Auckland, N.Z.)2021

Ensuring Optimal Community HIV Testing Services in Nigeria Using an Enhanced Community Case-Finding Package (ECCP), October 2019-March 2020: Acceleration to HIV Epidemic Control.

Ibrahim Jahun, Emilio Dirlikov, Solomon Odafe, Aminu Yakubu, Andrew T Boyd, Pamela Bachanas, Charles Nzelu, Gambo Aliyu, Tedd Ellerbrock, Mahesh Swaminathan and 1 more

Abstract read
In one paragraph

Article in HIV/AIDS (Auckland, N.Z.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ibrahim JahunUS Centers for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health - Nigeria, Abuja Federal Capital Territory, Nigeria.
Emilio DirlikovUS Centers for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health, Atlanta, GA, USA.ORCID 0000-0003-4190-1289
Solomon OdafeUS Centers for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health - Nigeria, Abuja Federal Capital Territory, Nigeria.
Aminu YakubuUS Centers for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health - Nigeria, Abuja Federal Capital Territory, Nigeria.
Andrew T BoydUS Centers for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health, Atlanta, GA, USA.ORCID 0000-0001-6354-6818
Pamela BachanasUS Centers for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health, Atlanta, GA, USA.ORCID 0000-0001-9408-9904
Charles NzeluFederal Ministry of Health (FMOH), Abuja, Nigeria.
Gambo AliyuNational Agency for the Control of AIDS (NACA), Abuja, Federal Capital Territory, Nigeria.
Tedd EllerbrockUS Centers for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health, Atlanta, GA, USA.
Mahesh SwaminathanUS Centers for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health - Nigeria, Abuja Federal Capital Territory, Nigeria.ORCID 0000-0001-5827-3245
CDC Nigeria ART Surge Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe 2018 Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS) showed Nigeria's progress toward the UNAIDS 90-90-90 targets: 47% of HIV-positive individuals knew their status; of these, 96% were receiving antiretroviral therapy (ART); and of these, 81% were virally suppressed. To improve identification of HIV-positive individuals, Nigeria developed an Enhanced Community Case-Finding Package (ECCP). We describe ECCP implementation in nine states and assess its effect.

methodsECCP included four core strategies (small area estimation [SAE] of people living with HIV [PLHIV], map of HIV-positive patients by residence, HIV risk-screening tool [HRST], and index testing [IT]) and four supportive strategies (alternative healthcare outlets, performance-based incentives for field testers, Project Extension for Community Healthcare Outcomes, and interactive dashboards). ECCP was deployed in nine of 10 states prioritized for ART scale-up. Weekly program data (October 2019-March 2020) were tracked and analyzed.

resultsOf the total 774 LGAs in Nigeria, using SAE, 103 (13.3%) high-burden LGAs were identified, in which 2605 (28.0%) out of 9,294 hotspots were prioritized by mapping newly identified PLHIV by residential addresses. Over 22 weeks, among 882,449 individuals screened using HRST, 723,993 (82.0%) were eligible and tested for HIV (state range, 43.7-90.4%), out of which 20,616 were positive. Through IT, an additional 3,724 PLHIV were identified. In total, 24,340 PLHIV were identified and 97.4% were linked to life-saving antiretroviral therapy. The number of newly identified PLHIV increased 17-fold over 22 weeks (week 1: 89; week 22: 1,632). Overall mean HIV positivity rate by state was 3.3% (range, 1.8-6.4%).

conclusionUsing ECCP in nine states in Nigeria increased the number of PLHIV in the community who knew their status, allowing them to access life-saving care and decreasing the risk of HIV transmission.

Indexed as

ART SurgeHIV risk assessment toolindex partner testingsmall area estimation

Identifiers

PMID34471388
PMCPMC8403567

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.