Evidence map›Paper›PMID 35457461›Full record

ArticleInternational journal of environmental research and public health2022

A Protocol for a Mixed-Methods Process Evaluation of a Local Population Health Management System to Reduce Inequities in COVID-19 Vaccination Uptake.

Georgia Watson, Cassie Moore, Fiona Aspinal, Claudette Boa, Vusi Edeki, Andrew Hutchings, Rosalind Raine, Jessica Sheringham

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 4 institutions in 1 country.

Georgia WatsonLondon Boroughs of Camden & Islington, London N1 1XR, UK.
Cassie MooreLondon Boroughs of Camden & Islington, London N1 1XR, UK.
Fiona AspinalDepartment of Applied Health Research, University College London, London WC1E 7HB, UK.ORCID 0000-0003-3170-7570
Claudette BoaPublic Health England, London SE1 8UG, UK.
Vusi EdekiPublic Health England, London SE1 8UG, UK.
Andrew HutchingsLondon School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
Rosalind RaineDepartment of Applied Health Research, University College London, London WC1E 7HB, UK.
Jessica SheringhamDepartment of Applied Health Research, University College London, London WC1E 7HB, UK.ORCID 0000-0003-3468-129X
University College London · GBLondon Borough of Camden · GBPublic Health England · GBUniversity of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population health management is an emerging technique to link and analyse patient data across several organisations in order to identify population needs and plan care. It is increasingly used in England and has become more important as health policy has sought to drive greater integration across health and care organisations. This protocol describes a mixed-methods process evaluation of an innovative population health management system in North Central London, England, serving a population of 1.5 million. It focuses on how staff have used a specific tool within North Central London's population health management system designed to reduce inequities in COVID-19 vaccination. The COVID-19 vaccination Dashboard was first deployed from December 2020 and enables staff in North London to view variations in the uptake of COVID-19 vaccinations by population characteristics in near real-time. The evaluation will combine interviews with clinical and non-clinical staff with staff usage analytics, including the volume and frequency of staff Dashboard views, to describe the tool's reach and identify possible mechanisms of impact. While seeking to provide timely insights to optimise the design of population health management tools in North Central London, it also seeks to provide longer term transferable learning on methods to evaluate population health management systems.

Indexed as

COVID-19Population Health ManagementCOVID-19 VaccinesHealth PolicyHumansVaccinationCOVID-19 Vaccinesdata linkageinequalitiesinequitiespopulation healthpopulation health managementprocess evaluationprotocol

Identifiers

PMID35457461
PMCPMC9029748
OpenAlexW4223539916

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.