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A Protocol for a Mixed-Methods Process Evaluation of a Local Population Health Management System to Reduce Inequities in COVID-19 Vaccination Uptake.
Watson, Georgia; Moore, Cassie; Aspinal, Fiona; Boa, Claudette; Edeki, Vusi; Hutchings, Andrew; Raine, Rosalind; Sheringham, Jessica.
  • Watson G; London Boroughs of Camden & Islington, London N1 1XR, UK.
  • Moore C; London Boroughs of Camden & Islington, London N1 1XR, UK.
  • Aspinal F; Department of Applied Health Research, University College London, London WC1E 7HB, UK.
  • Boa C; Public Health England, London SE1 8UG, UK.
  • Edeki V; Public Health England, London SE1 8UG, UK.
  • Hutchings A; London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
  • Raine R; Department of Applied Health Research, University College London, London WC1E 7HB, UK.
  • Sheringham J; Department of Applied Health Research, University College London, London WC1E 7HB, UK.
Int J Environ Res Public Health ; 19(8)2022 04 11.
Article in English | MEDLINE | ID: covidwho-1785694
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Health Management / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph19084588

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Health Management / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph19084588