Evidence map›Paper›PMID 38291440›Full record

ArticleConflict and health2024

Evaluation of a multi-component early warning system for pastoralist populations in Doolo zone, Ethiopia: mixed-methods study.

Luke Baertlein, Bashir Ali Dubad, Birhanu Sahelie, Istifanus Chindong Damulak, Mohammed Osman, Beverley Stringer, Agatha Bestman, Anna Kuehne, Elburg van Boetzelaer, Patrick Keating

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Article in Conflict and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

10 authors.

Luke Baertlein *Médecins Sans Frontières, Addis Ababa, Ethiopia. baertlein.luke@gmail.com.
Bashir Ali Dubad *Médecins Sans Frontières, Addis Ababa, Ethiopia.
Birhanu SahelieMédecins Sans Frontières, Addis Ababa, Ethiopia.
Istifanus Chindong DamulakMédecins Sans Frontières, Addis Ababa, Ethiopia.
Mohammed OsmanSomali Regional Health Bureau, Jigjiga, Ethiopia.
Beverley StringerMédecins Sans Frontières, London, UK.
Agatha BestmanMédecins Sans Frontières, Nairobi, Kenya.
Anna KuehneMédecins Sans Frontières, London, UK.
Elburg van BoetzelaerMédecins Sans Frontières, London, UK.
Patrick KeatingMédecins Sans Frontières, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study evaluated an early warning, alert and response system for a crisis-affected population in Doolo zone, Somali Region, Ethiopia, in 2019-2021, with a history of epidemics of outbreak-prone diseases. To adequately cover an area populated by a semi-nomadic pastoralist, or livestock herding, population with sparse access to healthcare facilities, the surveillance system included four components: health facility indicator-based surveillance, community indicator- and event-based surveillance, and alerts from other actors in the area. This evaluation described the usefulness, acceptability, completeness, timeliness, positive predictive value, and representativeness of these components.

methodsWe carried out a mixed-methods study retrospectively analysing data from the surveillance system February 2019-January 2021 along with key informant interviews with system implementers, and focus group discussions with local communities. Transcripts were analyzed using a mixed deductive and inductive approach. Surveillance quality indicators assessed included completeness, timeliness, and positive predictive value, among others.

results1010 signals were analysed; these resulted in 168 verified events, 58 alerts, and 29 responses. Most of the alerts (46/58) and responses (22/29) were initiated through the community event-based branch of the surveillance system. In comparison, one alert and one response was initiated via the community indicator-based branch. Positive predictive value of signals received was about 6%. About 80% of signals were verified within 24 h of reports, and 40% were risk assessed within 48 h. System responses included new mobile clinic sites, measles vaccination catch-ups, and water and sanitation-related interventions. Focus group discussions emphasized that responses generated were an expected return by participant communities for their role in data collection and reporting. Participant communities found the system acceptable when it led to the responses they expected. Some event types, such as those around animal health, led to the community's response expectations not being met.

conclusionsEvent-based surveillance can produce useful data for localized public health action for pastoralist populations. Improvements could include greater community involvement in the system design and potentially incorporating One Health approaches.

Indexed as

Early warningEthiopiaEvaluationPastoralistSurveillance

Identifiers

PMID38291440
PMCPMC10829173

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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.