Evidence map›Paper›PMID 33985451›Full record

ArticleBMC public health2021

Electronic reporting of integrated disease surveillance and response: lessons learned from northeast, Nigeria, 2019.

Luka Mangveep Ibrahim, Ifeanyi Okudo, Mary Stephen, Opeayo Ogundiran, Jerry Shitta Pantuvo, Daniel Rasheed Oyaole, Sisay Gashu Tegegne, Abdelrahim Khalid, Elsie Ilori, Olubunmi Ojo and 6 more

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

16 authors.

Luka Mangveep IbrahimWorld Health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria. ibrahiml@who.int.
Ifeanyi OkudoWorld Health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria.
Mary StephenWHO Africa Regional Office, Brazzaville, Congo.
Opeayo OgundiranWHO Africa Regional Office, Brazzaville, Congo.
Jerry Shitta PantuvoWorld Health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria.
Daniel Rasheed OyaoleWorld Health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria.
Sisay Gashu TegegneWorld Health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria.
Abdelrahim KhalidWorld Health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria.
Elsie IloriNigerian Center for Disease Control, Jabi, Abuja, Nigeria.
Olubunmi OjoNigerian Center for Disease Control, Jabi, Abuja, Nigeria.
Chikwe IhekweazuNigerian Center for Disease Control, Jabi, Abuja, Nigeria.
Fiona BarakaWorld Health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria.
Walter Kazadi MulomboWorld Health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria.
Clement Lugala Peter LasubaWorld Health Organization, Rivers House, #83 Ralph Shodeinde Street, Abuja, Nigeria.
Peter NsubugaGlobal Public Health Solutions, Atlanta, GA, USA.
Wondimagegnehu AlemuInternational Health Consultancy, Atlanta, GA, USA.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundElectronic reporting of integrated disease surveillance and response (eIDSR) was implemented in Adamawa and Yobe states, Northeastern Nigeria, as an innovative strategy to improve disease reporting. Its objectives were to improve the timeliness and completeness of IDSR reporting by health facilities, prompt identification of public health events, timely information sharing, and public health action. We evaluated the project to determine whether it met its set objectives.

methodWe conducted a cross-sectional study to assess and document the lessons learned from the project. We reviewed the performance of the local government areas (LGAs) on timeliness and completeness of reporting, rumors identification, and reporting on the eIDSR and the traditional paper-based system using a checklist. Respondents were interviewed online on the relevance, efficiency, sustainability, project progress and effectiveness, the effectiveness of management, and potential impact and scalability of the strategy using structured questionnaires. Data were cleaned, analyzed, and presented as proportions using an MS Excel spreadsheet. Responses were also presented as direct quotes.

resultsThe number of health facilities reporting IDSR increased from 103 to 228 (117%) before and after implementation of the eIDSR respectively. The timeliness of reporting was 43% in the LGA compared to 73% in health facilities implementing eIDSR. The completeness of IDSR reports in the last 6 months before the evaluation was ≥85%. Of the 201 rumors identified and verified, 161 (80%) were from the eIDSR pilot sites. The majority of the stakeholders interviewed believed that eIDSR met its predetermined objectives for public health surveillance. The benefits of eIDSR included timely reporting and response to alerts and disease outbreaks, improved timeliness, and completeness of reporting, and supportive supervision to the operational levels. The strategy helped stakeholders to appreciate their roles in public health surveillance.

conclusionThe eIDSR has increased the number of health facilities reporting IDSR, enabled early identification, reporting, and verification of alerts, improved timeliness and completeness of reports, and supportive supervision of staff at the operational levels. It was well accepted by the stakeholder as a system that made reporting easy with the potential to improve the public health surveillance system in Nigeria.

Indexed as

Disease OutbreaksPublic Health SurveillanceCross-Sectional StudiesElectronicsHumansNigeriaPopulation SurveillanceeIDSRElectronic reportingIntegrated disease surveillance and responseNigeria

Identifiers

PMID33985451
PMCPMC8117577

What OpenQuestion holds

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Registered trials

None linked

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.