Evidence map›Paper›PMID 36011176›Full record

ArticleHealthcare (Basel, Switzerland)2022

An Exploration of the Public's Attitude toward Antibiotic Use and Prescription in Light of the Recent Ministry of Health Regulations: A Cross-Sectional Study in the Kingdom of Saudi Arabia.

Haya M Almalag, Mohammad J Al-Yamani, Haya F Alsalloum

Abstract read
In one paragraph

Article in Healthcare (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
–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

2 citing papers in PubMed.

  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

3 authors.

Haya M AlmalagDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
Mohammad J Al-YamaniPharmacy College, Al-Maarefa University, Riyadh 12395, Saudi Arabia.
Haya F AlsalloumClinical Pharmacy Unit, Pharmacy Services Department, King Khalid University Hospital, King Saud University Medical City, Riyadh 11461, Saudi Arabia.ORCID 0000-0001-7433-9523

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRestricting antibiotic (AB) use with prescriptions and ensuring proper knowledge and attitudes toward AB use is important to reduce antibiotic resistance (ABR). To prevent resistanse problem, several countries have applied prescribing restrictions. Thus, the aim of this work was to re-evaluate the public knowledge and attitudes related to AB use in light of the recent Ministry of Health (MOH) restrictions on AB prescriptions.

methodsA cross-sectional, population-based survey was distributed through various social media platforms. The survey was distributed via email and personal social media. Data were collected and analyzed using appropriate statistical tests.

resultA total of 1333 participants completed the survey. Most participants were female (i.e., 70%), aged 18-24 years old (i.e., 40%), and were aware of the AB restrictions implemented by the MOH. In addition, 77% of participants were aware of the MOH Emergency Call Center (i.e., the 937 Service), but most did not know that it could be used to obtain an AB prescription.

conclusionAlthough the knowledge and attitude of the general Saudi population appear better than before, it remains clear that some elements of the population's knowledge, attitude, and practice need to be strengthened. This could be achieved by utilizing effective channels such as the MOH 937 Service and increased advertising.

Indexed as

antibioticsattitudeknowledgeMinistry of Healthrestrictions

Identifiers

PMID36011176
PMCPMC9408441

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.