Evidence map›Paper›PMID 37743853›Full record

ArticleExploratory research in clinical and social pharmacy2023

Pharmacists' perceptions about providing COVID-19 vaccines in community settings.

Mansour M Alotaibi, Eman M Aldandan, Bashayer E Alfredan, Samar H Almohammed, Zahra H Almousa

Abstract read
In one paragraph

Article in Exploratory research in clinical and social pharmacy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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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

5 authors.

Mansour M AlotaibiPharmacy Practice Department, College of Clinical Pharmacy, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
Eman M AldandanPharm-D intern, College of Clinical Pharmacy, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
Bashayer E AlfredanPharm-D intern, College of Clinical Pharmacy, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
Samar H AlmohammedPharm-D intern, College of Clinical Pharmacy, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
Zahra H AlmousaPharm-D intern, College of Clinical Pharmacy, King Faisal University, Al-Ahsa 31982, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Community pharmacists were underutilized in Saudi Arabia. At the start of the coronavirus disease 2019 (COVID-19) outbreak, global healthcare systems experienced significant pressure. To combat the pandemic effectively, there was a need to involve other healthcare providers, such as community pharmacists. As a result, community pharmacists were enlisted to provide vaccines. Objectives: This study aims to explore community pharmacists' perceptions about providing COVID-19 vaccines in Saudi community settings. Methods: Ethical approval was granted by the Research Ethics Committee of King Faisal University in January 2022. A qualitative methodology was used to explore the opinions of community pharmacists. Semi-structured interviews were conducted via face-to-face qualitative interviewing. Participants were recruited purposively and represented different types of community pharmacy settings. Results: A total of 15 face-to-face individual interviews were conducted. The cohort included pharmacists who provided the service ( Conclusion: Although providing the service had several advantages to several parties, the identified barriers need to be considered for the service to be provided appropriately.

Indexed as

Community pharmacyCoronavirusCOVID-19ImmunizationsPharmacistsVaccinationsVaccines

Identifiers

PMID37743853
PMCPMC10511797

What OpenQuestion holds

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LicenceCC BY
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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.