Evidence map›Paper›PMID 36412819›Full record

ArticlePharmacy (Basel, Switzerland)2022

Description of a Pharmacy COVID Champion Service in South East London to Reduce Vaccine Hesitancy.

Ricarda Micallef, Raj Matharu, Abigail Barry, Vanessa Burgess

Abstract read
In one paragraph

Article in Pharmacy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

4 authors.

Ricarda MicallefDepartment of Pharmacy, Penrhyn Road Campus, Kingston University London, London KT1 2EE, UK.ORCID 0000-0003-0427-1177
Raj MatharuBromley, Bexley and Greenwich and Lambeth, Southwark and Lewisham Local Pharmaceutical Committees, London BR4 0PX, UK.
Abigail BarryNHS South East London Integrated Care System, London SE1 2TZ, UK.
Vanessa BurgessNHS South East London Integrated Care System, London SE1 2TZ, UK.

Funding

South East London Local Pharmaceutical Committees NA
6 · The paper itself

Abstract

In the United Kingdom, COVID vaccinations were rolled out from December 2020. In July 2021 in South East London there were areas of high COVID prevalence and low vaccination uptake. Therefore, a COVID champion service was launched in community pharmacies enabling pharmacy teams to have conversations with patients regarding the vaccination programme and their concerns and signposting as needed. The aim of the project was to evaluate the impact of the service on COVID vaccination uptake and perceptions of pharmacy teams. Quantitative data was received from pharmacy interaction records plus a pharmacy survey. In addition, qualitative data was received through interviews with 12 pharmacists involved in the service, which was analysed using content analysis, along with interviews with commissioner representatives. Between July and October 2021, 8539 conversations took place. From these 6094 patients agreed to vaccination, with 2019 initially hesitant patients converted. Lack of understanding, risk of blood clots and cultural concerns were the largest areas of hesitance. Pharmacy teams were happy to support conversation and local working with knowledge and confidence. Engagement within the team was the biggest enabler, with pressure to deliver other services being the biggest barrier. These results show the value of community pharmacy teams, having conversations with the public, addressing concerns where applicable, and signposting to the appropriate sites so patients are supported to achieve maximum health outcomes.

Indexed as

COVIDhesitancepharmacistvaccination

Identifiers

PMID36412819
PMCPMC9680247

What OpenQuestion holds

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Registered trials

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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.