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Enregistrement W4307419797 · doi:10.1101/2022.10.27.22281604

A multistage mixed-methods evaluation protocol for the national testing response during the COVID-19 pandemic in England

2022· preprint· en· W4307419797 sur OpenAlexaff
Reshania Naidoo, Ben Lambert, Merryn Voysey, Rima Shretta, Claire Keene, Marta Wanat, Billie Andersen-Waine, Prabin Dahal, Kasia Stepniewska, Rachel Hounsell, Sassy Molyneux, Emily Rowe, Sarah Pinto-Duschinsky, Gulsen Yenidogan, Tom Fowler, Lisa J. White

Notice bibliographique

RevuemedRxiv · 2022
Typepreprint
Langueen
DomaineMedicine
ThématiqueSARS-CoV-2 detection and testing
Établissements canadiensCentre for Global Health Research
Organismes subventionnairesDepartment of Health and Social CareGovernment of the United Kingdom
Mots-clésCoronavirus disease 2019 (COVID-19)PandemicSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Protocol (science)2019-20 coronavirus outbreakVirologyComputer scienceMedicinePathologyOutbreak

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction In 2020, the UK government established a large-scale testing programme to rapidly identify individuals in England who were infected with SARS-CoV-2 and had COVID-19. This comprised part of the UK government’s COVID-19 response strategy, to protect those at risk of severe COVID-19 disease and death and to reduce the burden on the health system. To assess the success of this approach, the UK Health Security Agency (UKHSA) commissioned an independent evaluation of the activities delivered by the National Health System (NHS) testing programme in England. The primary purpose of this evaluation will be to capture key learnings from the rollout of testing to different target populations via various testing services between October 2020 and March 2022 and to use these insights to formulate recommendations for future pandemic preparedness strategy. In this protocol, we detail the rationale, approach and study design. Methods and analysis The proposed study involves a stepwise mixed-methods approach, aligned with established methods for the evaluation of complex interventions in health, to retrospectively assess the combined impact of key asymptomatic and symptomatic testing services nationally. The research team will first develop a Theory of Change, formulated in collaboration with testing service stakeholders, to understand the causal pathways and intended and unintended outcomes of each testing service and explore contextual impacts on each testing service’s intended outcomes. Insights gained will help identify indicators to evaluate how the combined aims of the testing programme were achieved, using a mixed methods approach. Ethics and dissemination The study protocol was granted ethics approval by the UKHSA Research Ethics and Governance Group (reference NR0347). All relevant ethics guidelines will be followed throughout. Findings arising from this evaluation will be used to inform lessons learnt and recommendations for UKHSA on appropriate pandemic preparedness testing programme designs; findings will also be disseminated in peer-reviewed journals and at academic conferences. This will be the first evaluation to produce a portfolio of evidence in relation to the testing effectiveness and public health impact of the national testing programme in England, encompassing behavioural, economic, equity and public health impacts. These findings will strengthen the evidence base with regards to the effectiveness of COVID-19 testing and identify which aspects are necessary to prioritise in mitigating future pandemic threats when deploying a complex public health intervention such as testing. Transparency declaration The lead author (the manuscript’s guarantor) affirms that the manuscript is an honest, accurate and transparent account of the study being reported; no important aspects of the study have been omitted, and any discrepancies from the study as planned have been explained. Strengths and limitations of this protocol Strengths of this mixed methods evaluation protocol include the use of theory-based, complex evaluation approaches and an iterative and participatory approach with the stakeholder (UKHSA) to the evaluation process. Given the scale and complexity of the COVID-19 testing response in England, there is a scarcity of previous relevant research, either in England or appropriate international comparators, warranting the mixed methods evaluation approach we will employ. To the best of the authors’ knowledge, this is the first national-scale evaluation of the COVID-19 testing programme in England to incorporate the broadest scope of testing services, a programme that formed an integral part of the UK pandemic response strategy. The approach proposed could be applied to the evaluation of pandemic responses in other contexts or to other types of interventions. Whereas most complex interventions are ideally accompanied by a prospective evaluation design initiated at the time of the intervention or earlier, this study will predominantly comprise a retrospective evaluation and is therefore limited by the quality of existing research and the data available to the research team at the time of conducting the evaluation, within the specified eight-month period allocated by UKHSA. As the UK government is in the process of consolidating data and policy related to the COVID-19 pandemic and subject to an independent inquiry, certain datasets may not be available to the researchers at the time of conducting the evaluation. The scope of testing services to be evaluated and the selection of methods has been guided by the study sponsor team within UKHSA and must be achievable within the timeframe of the funding allocated to the study (eight months). Therefore, some trade-offs had to be made in terms of selecting research methods that would be feasible within this time constraint. For future evaluations, a mixed methods approach could be complemented by qualitative interviews with members of the public to gauge their experiences of testing and test-related behaviours, as well as an evaluation of other testing services that were out of scope for this research, including in prisons, the private sector and the events testing programme.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,027
score de la tête « metaresearch » (Gemma)0,107
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,447
Score d'incertitude au seuil0,932

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0270,107
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,276
Tête enseignante GPT0,508
Écart entre enseignants0,232 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2022
Routes d'admission1
Résumé présentoui

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