Evidence map›Paper›PMID 35655676›Full record

ArticleThe Pan African medical journal2022

Active search for COVID-19 cases during integrated supportive supervision using an electronic platform to improve healthcare workers performance in Niger: the legacy of the polio eradication program.

Moussa Haladou, Blanche-Philomene Melanga Anya, Batouré Oumarou, Ishagh El Khalef, Joseph Nsiari-Muzeyi Biey, Hamidou Harouna, Patrick Katoto, Charles Shey Wiysonge

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 62% of its field
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
  2. Article
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

8 authors at 2 institutions in 2 countries.

Moussa HaladouCountry Office, World Health Organization, Quartier Plateau, Avenue Mohamed VI 1204, Niamey, Niger.
Blanche-Philomene Melanga AnyaCountry Office, World Health Organization, Quartier Plateau, Avenue Mohamed VI 1204, Niamey, Niger.
Batouré OumarouCountry Office, World Health Organization, Quartier Plateau, Avenue Mohamed VI 1204, Niamey, Niger.
Ishagh El KhalefCountry Office, World Health Organization, Quartier Plateau, Avenue Mohamed VI 1204, Niamey, Niger.
Joseph Nsiari-Muzeyi BieyEpidemics, Surveillance and Response Directorate, Ministry of Public Health, Niamey, Niger.
Hamidou HarounaSub-Regional Office for West Africa, World Health Organization, Independence Street, Gate 0058, Ouagadougou, Burkina Faso.
Patrick KatotoCentre for Infectious Diseases, Faculty of Medicine and Health Sciences, Stellenbosch University, Francie van Zijl Drive, Tygerberg 7505, Cape Town, South Africa.
Charles Shey WiysongeCochrane South Africa, South African Medical Research Council, Francie van Zijl Drive, Parow Valley 7501, Cape Town, South Africa.
South African Medical Research Council · ZAUniversité Catholique de Bukavu · CD

Funding

World Health Organization 001
6 · The paper itself

Abstract

The implementation of electronic data collection during supportive supervision visits (ISS) using the Open Data Kits (ODK) Collection in Niger has provided a factual basis for monitoring the performance of the Polio eradication program (PEP) and the immunization program. With the notification of the first case of COVID-19 on 19 March 2020, there was a rapid need for quality knowledge to monitor the pandemic. For the first time in Niger, we initiated a six-month (May to October 2020) joint ISS-COVID-19 surveillance program to improve and monitor healthcare workers' performance to efficiently investigate COVID-19 cases in eight provinces. Overall, 1,378 ISS visits were performed through 390 health facilities, during which 4,638 health workers were trained and 527,151 medical records were reviewed, of which 28 suspected cases of COVID-19 were found. Field visits for contact tracing in their communities were accomplished and closed monitoring ensured until full recovery. Building on the tradition of PEP, a problem-solving process, feedback and on-the-job training on COVID-19 surveillance is set to enhance notification in the coming weeks and months. This is facilitated by accurate use of ODK Collect for real-time data surveillance successfully implemented. Other topics in the briefing included fundamentals of infection prevention and control for COVID-19 for both health professionals and community leaders. From this experience, the ISS has emerged as a key component of COVID-19 surveillance, especially in regions with a fragile health system. Our observation is a step forward for pragmatic interventional studies.

Indexed as

AsteraceaeCOVID-19PoliomyelitisElectronicsHealth PersonnelHumansNigerPoliomyelitis eradicationSARS-CoV-2surveillanceworkforce development

Identifiers

PMID35655676
PMCPMC9120750
OpenAlexW4226221544

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.