Evidence map›Paper›PMID 38991578›Full record

ArticleBMJ global health2024

How feasible or useful are timeliness metrics as a tool to optimise One Health outbreak responses?

Jane Fieldhouse, Lydia Nakiire, Joshua Kayiwa, Claire D Brindis, Ashley Mitchell, Issa Makumbi, Alex Riolexus Ario, Elizabeth Fair, Jonna A K Mazet, Mohammed Lamorde

Abstract read
In one paragraph

Article in BMJ global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

10 authors.

Jane FieldhouseOne Health Institute, University of California Davis School of Veterinary Medicine, Davis, California, USA.ORCID http://orcid.org/0000-0002-5450-0970
Lydia NakiirePublic Health Emergency Operations Centre, Ministry of Health, Kampala, Uganda.
Joshua KayiwaPublic Health Emergency Operations Centre, Ministry of Health, Kampala, Uganda.
Claire D BrindisInstitute for Global Health Sciences, University of California San Francisco Graduate Division, San Francisco, California, USA.
Ashley MitchellInstitute for Global Health Sciences, University of California San Francisco Graduate Division, San Francisco, California, USA.
Issa MakumbiPublic Health Emergency Operations Centre, Ministry of Health, Kampala, Uganda.
Alex Riolexus ArioUganda National Institute of Public Health, Ministry of Health, Kampala, Uganda.ORCID http://orcid.org/0000-0002-3560-1952
Elizabeth FairInstitute for Global Health Sciences, University of California San Francisco Graduate Division, San Francisco, California, USA.
Jonna A K MazetOne Health Institute, University of California Davis School of Veterinary Medicine, Davis, California, USA jkmazet@ucdavis.edu.ORCID http://orcid.org/0000-0002-8712-5951
Mohammed LamordeInfectious Diseases Institute, Makerere University, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs timeliness metrics gain traction to assess and optimise outbreak detection and response performance, implementation and scale-up require insight into the perspectives of stakeholders adopting these tools. This study sought to characterise the feasibility and utility of tracking One Health outbreak milestones across relevant human, animal, plant, and environmental sectors to systematically quantify timeliness metrics in Uganda, a country prone to outbreaks of WHO priority diseases.

methodsA database of outbreak events occurring in Uganda between 2018 and 2022 was compiled. Outbreak reports meeting our inclusion criteria were reviewed to quantify the frequency of milestone reporting. Key informant interviews were conducted with expert stakeholders to explore the feasibility and utility of tracking metrics using a framework analysis. Quantitative and qualitative data were collected and analysed concurrently.

resultsOf the 282 public health emergencies occurring between 2018 and 2022, 129 events met our inclusion criteria, and complete data were available for 82 outbreaks. For our qualitative portion, 10 informants were interviewed from 7 institutions, representing the human, animal and environmental sectors. Informants agreed most One Health milestones are feasible to track, which was supported by the frequency of milestone reporting; however, there was a demonstrated need for increased reporting of after-action reviews, as well as outbreak start and end dates. Predictive alerts signalling potential outbreaks and preventive responses to alerts are seen as challenging to routinely capture, reflecting the lack of public health action for these domains.

conclusionDespite consensus among stakeholders that timeliness metrics are a beneficial tool to assess outbreak performance, not all One Health metrics are being tracked consistently, thereby missing opportunities to optimise epidemic intelligence, preparedness and prevention. The feasibility of tracking these metrics depends on the integration of reporting channels, enhanced documentation of milestones and development of guidance for early adopters, recognising country-specific on-the-ground realities and challenges to national scaling efforts.

Indexed as

Disease OutbreaksOne HealthFeasibility StudiesHumansPublic HealthTime FactorsUgandaHealth policyPrevention strategiesPublic HealthViral haemorrhagic fevers

Identifiers

PMID38991578
PMCPMC11268058

What OpenQuestion holds

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LicenceCC BY-NC
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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.