6 datasets found
  1. f

    Interviews by staff type and affiliation.

    • figshare.com
    xls
    Updated Jun 2, 2023
    + more versions
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    Sandra Mounier-Jack; Pauline Paterson; Sadie Bell; Louise Letley; Ben Kasstan; Tracey Chantler (2023). Interviews by staff type and affiliation. [Dataset]. http://doi.org/10.1371/journal.pone.0286529.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Sandra Mounier-Jack; Pauline Paterson; Sadie Bell; Louise Letley; Ben Kasstan; Tracey Chantler
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundThe UK was the first country to launch a national pandemic COVID-19 vaccination programme, which was implemented swiftly despite significant vaccine supply constraints. The delivery strategy used a combination of mass vaccination sites operated by NHS secondary care providers and local sites led by Primary Care Networks, and local pharmacies. Despite nation-wide rollout, persistent gaps in coverage continued to affect particular populations, including ethnic minority and marginalised social groups.AimThe study examined sub-national immunisation commissioners and providers’ perspectives on how the COVID-19 vaccine programme was operationalised, and how delivery strategies impacted inequalities in access to vaccination services and uptake. The study aimed to inform national programme implementation, sustainability and future pandemic preparedness.MethodsQualitative research was conducted in eight local NHS areas in 4 regions of England. Semi-structured interviews were performed with 82 sub-national NHS and public health vaccine providers and commissioners.ResultsEngland’s COVID-19 vaccination programme was described as top down, centralised and highly political. The programme gradually morphed from a predominantly mass vaccination strategy into more locally driven and tailored approaches able to respond more effectively to inequalities in uptake. Over time more flexibility was introduced, as providers adapted services by “working around” the national systems for vaccine supply and appointment booking. The constant change faced by providers and commissioners was mitigated by high staff motivation and resilience, local collaboration and pragmatism. Opportunities for efficient implementation were missed because priority was given to achieving national performance targets at the expense of a more flexible sub-national tailored delivery.ConclusionPandemic vaccination delivery models need to be adapted for underserved and hesitant groups, working in collaboration with local actors. Learnings from the initial COVID-19 vaccine roll-out in England and elsewhere is important to inform future pandemic responses, in tailoring strategies to local communities, and improve large-scale vaccination programmes.

  2. f

    Private costs as a percentage of overall vaccine delivery/receipt cost.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Vittal Mogasale; Shantanu K. Kar; Jong-Hoon Kim; Vijayalaxmi V. Mogasale; Anna S. Kerketta; Bikash Patnaik; Shyam Bandhu Rath; Mahesh K. Puri; Young Ae You; Hemant K. Khuntia; Brian Maskery; Thomas F. Wierzba; Binod Sah (2023). Private costs as a percentage of overall vaccine delivery/receipt cost. [Dataset]. http://doi.org/10.1371/journal.pntd.0004072.t004
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Vittal Mogasale; Shantanu K. Kar; Jong-Hoon Kim; Vijayalaxmi V. Mogasale; Anna S. Kerketta; Bikash Patnaik; Shyam Bandhu Rath; Mahesh K. Puri; Young Ae You; Hemant K. Khuntia; Brian Maskery; Thomas F. Wierzba; Binod Sah
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    *Method 1: indirect cost as per reported wage lossMethod 2: indirect cost based on minimum wageMethod 3: indirect cost based on GDP per capitaPrivate costs as a percentage of overall vaccine delivery/receipt cost.

  3. f

    The hesitancy rate of each state, defined as the percentage of residents...

    • plos.figshare.com
    xls
    Updated Jun 14, 2024
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    Noah Chicoine; Noah Schnipper; Jacqueline Griffin (2024). The hesitancy rate of each state, defined as the percentage of residents aged 12+ still unvaccinated by July 2021, as reported by the CDC [37]. [Dataset]. http://doi.org/10.1371/journal.pone.0304416.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 14, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Noah Chicoine; Noah Schnipper; Jacqueline Griffin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The hesitancy rate of each state, defined as the percentage of residents aged 12+ still unvaccinated by July 2021, as reported by the CDC [37].

  4. f

    Table of events for the stochastic model (as in [16]), where λi is the gamma...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Klodeta Kura; James E. Truscott; Jaspreet Toor; Roy M. Anderson (2023). Table of events for the stochastic model (as in [16]), where λi is the gamma distribution for individual i, δ() is the Dirac delta function and g is the proportion treated. [Dataset]. http://doi.org/10.1371/journal.pntd.0007349.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Klodeta Kura; James E. Truscott; Jaspreet Toor; Roy M. Anderson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Table of events for the stochastic model (as in [16]), where λi is the gamma distribution for individual i, δ() is the Dirac delta function and g is the proportion treated.

  5. f

    Demographics characteristics of the surveyed households (N = 337).

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
    + more versions
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    Vittal Mogasale; Shantanu K. Kar; Jong-Hoon Kim; Vijayalaxmi V. Mogasale; Anna S. Kerketta; Bikash Patnaik; Shyam Bandhu Rath; Mahesh K. Puri; Young Ae You; Hemant K. Khuntia; Brian Maskery; Thomas F. Wierzba; Binod Sah (2023). Demographics characteristics of the surveyed households (N = 337). [Dataset]. http://doi.org/10.1371/journal.pntd.0004072.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Vittal Mogasale; Shantanu K. Kar; Jong-Hoon Kim; Vijayalaxmi V. Mogasale; Anna S. Kerketta; Bikash Patnaik; Shyam Bandhu Rath; Mahesh K. Puri; Young Ae You; Hemant K. Khuntia; Brian Maskery; Thomas F. Wierzba; Binod Sah
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Demographics characteristics of the surveyed households (N = 337).

  6. f

    Excel file containing the collected data and calculations done for the...

    • figshare.com
    xlsx
    Updated Jun 14, 2024
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    Noah Chicoine; Noah Schnipper; Jacqueline Griffin (2024). Excel file containing the collected data and calculations done for the results shown in this study. [Dataset]. http://doi.org/10.1371/journal.pone.0304416.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 14, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Noah Chicoine; Noah Schnipper; Jacqueline Griffin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    All references, data, formulas, etc. are shown for each individual graph in a separate sheet. (XLSX)

  7. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Sandra Mounier-Jack; Pauline Paterson; Sadie Bell; Louise Letley; Ben Kasstan; Tracey Chantler (2023). Interviews by staff type and affiliation. [Dataset]. http://doi.org/10.1371/journal.pone.0286529.t001

Interviews by staff type and affiliation.

Related Article
Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
xlsAvailable download formats
Dataset updated
Jun 2, 2023
Dataset provided by
PLOS ONE
Authors
Sandra Mounier-Jack; Pauline Paterson; Sadie Bell; Louise Letley; Ben Kasstan; Tracey Chantler
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

BackgroundThe UK was the first country to launch a national pandemic COVID-19 vaccination programme, which was implemented swiftly despite significant vaccine supply constraints. The delivery strategy used a combination of mass vaccination sites operated by NHS secondary care providers and local sites led by Primary Care Networks, and local pharmacies. Despite nation-wide rollout, persistent gaps in coverage continued to affect particular populations, including ethnic minority and marginalised social groups.AimThe study examined sub-national immunisation commissioners and providers’ perspectives on how the COVID-19 vaccine programme was operationalised, and how delivery strategies impacted inequalities in access to vaccination services and uptake. The study aimed to inform national programme implementation, sustainability and future pandemic preparedness.MethodsQualitative research was conducted in eight local NHS areas in 4 regions of England. Semi-structured interviews were performed with 82 sub-national NHS and public health vaccine providers and commissioners.ResultsEngland’s COVID-19 vaccination programme was described as top down, centralised and highly political. The programme gradually morphed from a predominantly mass vaccination strategy into more locally driven and tailored approaches able to respond more effectively to inequalities in uptake. Over time more flexibility was introduced, as providers adapted services by “working around” the national systems for vaccine supply and appointment booking. The constant change faced by providers and commissioners was mitigated by high staff motivation and resilience, local collaboration and pragmatism. Opportunities for efficient implementation were missed because priority was given to achieving national performance targets at the expense of a more flexible sub-national tailored delivery.ConclusionPandemic vaccination delivery models need to be adapted for underserved and hesitant groups, working in collaboration with local actors. Learnings from the initial COVID-19 vaccine roll-out in England and elsewhere is important to inform future pandemic responses, in tailoring strategies to local communities, and improve large-scale vaccination programmes.

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