Evidence map›Paper›PMID 32664859›Full record

ArticleBMC public health2020

The role of the Stop Transmission of Polio (STOP) program in developing countries: the experience of Kenya.

Brook Tesfaye, Jeevan K Makam, Kibet Sergon, Iheoma Onuekwusi, Charles Muitherero, Alieu Sowe

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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  5. Review
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

6 authors at 2 institutions in 2 countries.

Brook TesfayeWorld Health Organization, Kenya Country Office, United Nations Office in Nairobi (UNON), Gigiri Complex, Block U, Nairobi, Kenya. balagerusew7@gmail.com.ORCID http://orcid.org/0000-0001-8426-3788
Jeevan K MakamThe Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Kibet SergonWorld Health Organization, Kenya Country Office, United Nations Office in Nairobi (UNON), Gigiri Complex, Block U, Nairobi, Kenya.
Iheoma OnuekwusiWorld Health Organization, Kenya Country Office, United Nations Office in Nairobi (UNON), Gigiri Complex, Block U, Nairobi, Kenya.
Charles MuithereroWorld Health Organization, Kenya Country Office, United Nations Office in Nairobi (UNON), Gigiri Complex, Block U, Nairobi, Kenya.
Alieu SoweWorld Health Organization, Kenya Country Office, United Nations Office in Nairobi (UNON), Gigiri Complex, Block U, Nairobi, Kenya.
Centers for Disease Control and Prevention · USUnited Nations Human Settlements Programme · KE

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundIn 1988, the 41

methodsOverview of the STOP program, deployment, and the modality of support are described. Descriptive analysis was conducted using data collected by the STOP 52 team during integrated supportive supervisory visits conducted from July 2018 to September 2019. Analyses were carried out using Epi-Info statistical software (Version 7.0) and maps were developed using Quantum Geographic Information System (Q-GIS) (version 3.12.0).

resultsThe STOP 52 team supportively supervised 870 health facilities on Expanded Program on Immunization (EPI), and Acute Flaccid Paralysis (AFP) and other Vaccine-Preventable Diseases (VPDs) surveillance in 16 (34.1%) of the 47 counties during the study period. AFP surveillance was conducted in all health facilities supervised leading to the detection and investigation of 11 unreported AFP cases. The STOP 52 team, as part of the outbreak response, provided technical support to five successive rounds of polio Supplementary Immunization Activities (SIAs) conducted during the study period. Moreover, in addressing programmatic data needs, the STOP 52 Data Manager played a valuable role in enhancing the quality and use of data for evidence-based planning and decision-making. The STOP 52 team contributed to the development of operational plans, guidelines and training manuals, and participated in the delivery of various Training of Trainers (TOT) and On-the-Job Training (OJT) on EPI, AFP and other VPDs surveillance including data management.

conclusionThe STOP 52 team has contributed to polio eradication efforts in Kenya by enhancing AFP and other VPDs surveillance, supporting polio SIAs, strengthening EPI, use of quality EPI, AFP and other VPDs data, and capacity building of Frontline Health Workers (FLWs). The use of Open Data Kit (ODK) technology during supportive supervision, and AFP and other VPDs surveillance was found to be advantageous. A national STOP program should be modeled to produce a homegrown workforce to ensure the availability of more sustainable technical support for polio eradication efforts in Kenya and possibly other polio-affected countries.

Indexed as

Developing CountriesDisease EradicationDisease OutbreaksHealth PromotionHumansImmunization ProgramsKenyaPoliomyelitisPopulation SurveillanceVaccinationHuman resourceImmunizationPolioStop Transmission of Polio (STOP)SurveillanceVaccine-Preventable Diseases (VPDs)

Identifiers

PMID32664859
PMCPMC7362661
OpenAlexW3042462107

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.