Evidence map›Paper›PMID 35645330›Full record

ArticlePharmacy (Basel, Switzerland)2022

Pharmacists' Seasonal Influenza Vaccine Recommendations.

Roland Langer, Mirjam Thanner

Open access · goldAbstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 2 institutions in 2 countries.

Roland LangerDepartment of Medical Sciences, Private University in the Principality of Liechtenstein, 9495 Triesen, Liechtenstein.ORCID 0000-0002-9264-3681
Mirjam ThannerKantonsspital St. Gallen, 9007 St. Gallen, Switzerland.
Kantonsspital St. Gallen · CHPrivate University in the Principality of Liechtenstein · LI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seasonal influenza vaccination rates among European countries remain low despite the World Health Organization's recommendations to vaccinate high-risk groups. Healthcare worker recommendations are strong predictors of increased vaccination uptake in the population. Therefore, this study aimed to analyze seasonal influenza vaccination recommendation behavior among pharmacists towards high-risk groups including patients, coworkers, and pharmacists' family members during the COVID-19 pandemic. This cross-sectional, questionnaire-based research was conducted in Switzerland during the flu season and sent to all members of the Swiss Pharmacist Association. In December 2020, 569 community pharmacists completed the online survey. The influenza vaccination recommendation rates for high-risk patients were 93.6% for the elderly, 70.7% for pregnant women, 65.2% for immunocompromised people, and 60.3% for patients with chronic diseases. Pharmacists tend to recommend influenza immunization to patients more than to family members and colleagues. Holding a certification to administer immunization and personal influenza vaccine history were the main predictors for recommending influenza vaccination to patients, family members, and colleagues. Our results indicated that influenza vaccination recommendation rates in our whole sample of pharmacists, were higher for vaccinated and immunizing pharmacists. Ensuring high vaccinations rates and high ratio of immunizing pharmacists may be important in promoting seasonal influenza vaccination in the general population.

Indexed as

chronic diseaseelderly patientshealthcare workerinfluenzapharmacistspregnancyrecommendationsvaccinevaccine education

Identifiers

PMID35645330
PMCPMC9149822
OpenAlexW4224951832

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.