Evidence map›Paper›PMID 37247622›Full record

ArticleMethods of information in medicine2023

From Paper Files to Web-Based Application for Data-Driven Monitoring of HIV Programs: Nigeria's Journey to a National Data Repository for Decision-Making and Patient Care.

Ibrahim Dalhatu, Chinedu Aniekwe, Adebobola Bashorun, Alhassan Abdulkadir, Emilio Dirlikov, Stephen Ohakanu, Oluwasanmi Adedokun, Ademola Oladipo, Ibrahim Jahun, Lisa Murie and 23 more

Abstract read
In one paragraph

Article in Methods of information in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

10 citing papers in PubMed.

  1. Article
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  4. Review
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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

33 authors.

Ibrahim DalhatuUnited States Centers for Disease Control and Prevention, Abuja, Nigeria.
Chinedu AniekweUnited States Centers for Disease Control and Prevention, Abuja, Nigeria.
Adebobola BashorunFederal Ministry of Health, Abuja, Nigeria.
Alhassan AbdulkadirCenter for International Health, Education and Biosecurity, University of Maryland, Baltimore, Abuja, Nigeria.
Emilio DirlikovUnited States Centers for Disease Control and Prevention, Atlanta, Georgia, United States.
Stephen OhakanuCenter for International Health, Education and Biosecurity, Institute of Human Virology, University of Maryland School of Medicine, University of Maryland, Baltimore, Maryland, United States.
Oluwasanmi AdedokunCenter for International Health, Education and Biosecurity, University of Maryland, Baltimore, Abuja, Nigeria.
Ademola OladipoUnited States Centers for Disease Control and Prevention, Abuja, Nigeria.
Ibrahim JahunUnited States Centers for Disease Control and Prevention, Abuja, Nigeria.
Lisa MurieUnited States Centers for Disease Control and Prevention, Atlanta, Georgia, United States.
Steven YoonUnited States Centers for Disease Control and Prevention, Atlanta, Georgia, United States.
Mubarak G Abdu-AguyeCenter for International Health, Education and Biosecurity, University of Maryland, Baltimore, Abuja, Nigeria.
Ahmed SylvanusCenter for International Health, Education and Biosecurity, University of Maryland, Baltimore, Abuja, Nigeria.
Samuel IndyerCenter for International Health, Education and Biosecurity, University of Maryland, Baltimore, Abuja, Nigeria.
Isah AbbasUnited States Centers for Disease Control and Prevention, Abuja, Nigeria.
Mustapha BelloUnited States Centers for Disease Control and Prevention, Abuja, Nigeria.
Nannim NaldaUnited States Centers for Disease Control and Prevention, Abuja, Nigeria.
Matthias AlagiUnited States Centers for Disease Control and Prevention, Abuja, Nigeria.
Solomon OdafeUnited States Centers for Disease Control and Prevention, Abuja, Nigeria.
Sylvia AdebajoCenter for International Health, Education and Biosecurity, University of Maryland, Baltimore, Abuja, Nigeria.
Otse OgorryPEPFAR Coordination Office, Abuja, Nigeria.
Murphy AkpuPEPFAR Coordination Office, Abuja, Nigeria.
Ifeanyi OkoyeUnited States Department of Defense Walter Reed Program, Abuja, Nigeria.
Kunle KakanfoUnited States Agency for International Development (USAID), Abuja, Nigeria.
Amobi Andrew OnovoUnited States Agency for International Development (USAID), Abuja, Nigeria.
Gregory AsheforDivision of Global HIV and TB, US Centers for Disease Control and Prevention, Abuja, Federal Capital Territory, Nigeria.
Charles NzeluFederal Ministry of Health, Abuja, Nigeria.
Akudo IkpeazuFederal Ministry of Health, Abuja, Nigeria.
Gambo AliyuDivision of Global HIV and TB, US Centers for Disease Control and Prevention, Abuja, Federal Capital Territory, Nigeria.
Tedd EllerbrockUnited States Centers for Disease Control and Prevention, Atlanta, Georgia, United States.
Mary BoydUnited States Centers for Disease Control and Prevention, Abuja, Nigeria.
Kristen A StaffordCenter for International Health, Education and Biosecurity, Institute of Human Virology, University of Maryland School of Medicine, University of Maryland, Baltimore, Maryland, United States.
Mahesh SwaminathanUnited States Centers for Disease Control and Prevention, Abuja, Nigeria.

Funding

CDC HHS NU2GGH001976
6 · The paper itself

Abstract

backgroundTimely and reliable data are crucial for clinical, epidemiologic, and program management decision making. Electronic health information systems provide platforms for managing large longitudinal patient records. Nigeria implemented the National Data Repository (NDR) to create a central data warehouse of all people living with human immunodeficiency virus (PLHIV) while providing useful functionalities to aid decision making at different levels of program implementation.

objectiveWe describe the Nigeria NDR and its development process, including its use for surveillance, research, and national HIV program monitoring toward achieving HIV epidemic control.

methodsStakeholder engagement meetings were held in 2013 to gather information on data elements and vocabulary standards for reporting patient-level information, technical infrastructure, human capacity requirements, and information flow. Findings from these meetings guided the development of the NDR. An implementation guide provided common terminologies and data reporting structures for data exchange between the NDR and the electronic medical record (EMR) systems. Data from the EMR were encoded in extensible markup language and sent to the NDR over secure hypertext transfer protocol after going through a series of validation processes.

resultsBy June 30, 2021, the NDR had up-to-date records of 1,477,064 (94.4%) patients receiving HIV treatment across 1,985 health facilities, of which 1,266,512 (85.7%) patient records had fingerprint template data to support unique patient identification and record linkage to prevent registration of the same patient under different identities. Data from the NDR was used to support HIV program monitoring, case-based surveillance and production of products like the monthly lists of patients who have treatment interruptions and dashboards for monitoring HIV test and start.

conclusionThe NDR enabled the availability of reliable and timely data for surveillance, research, and HIV program monitoring to guide program improvements to accelerate progress toward epidemic control.

Indexed as

HIVHIV InfectionsHumansInternetNigeriaPatient Care

Identifiers

PMID37247622
PMCPMC10462428

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.