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Record W4377019501 · doi:10.1016/j.jsps.2023.05.016

Jordanians' knowledge, attitude and practice regarding adverse drug reactions reporting

2023· article· en· W4377019501 on OpenAlex
Faris El‐Dahiyat, Khawla Abu Hammour, Rana Abu Farha, Qusai Manaseer, Ala'a Al Momanee, Aya Allan, Rama Alkhawaldeh

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSaudi Pharmaceutical Journal · 2023
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacovigilance and Adverse Drug Reactions
Canadian institutionsnot available
Fundersnot available
KeywordsPharmacovigilanceMedicineDrug reactionFamily medicineQuarter (Canadian coin)Logistic regressionCross-sectional studyPublic healthAdverse drug reactionHealth careDrugPediatricsPsychiatryNursingInternal medicine

Abstract

fetched live from OpenAlex

Objectives: The purpose of the current study was to evaluate the general public knowledge, attitudes, and practice regarding Adverse Drug Reactions (ADRs) reporting and pharmacovigilance in Jordan. Methods: A cross-sectional study was conducted between July 16, 2022, and July 30, 2022, in Jordan. During the study period, an electronic survey consisting of 4 sections was administered to a convenience sample of Jordanians (aged 18 or above) using 2 social media platforms (Facebook and WhatsApp). Logistic regression analysis was used to screen the predictors of ADRs reporting by the participants. Results: A total of 441 participants completed the survey. The majority of the participants (67.6%) were females, 53.1% between 26 and 45 years old. Almost all participants (96.3%) were always aware of the indication of the medications they take, the time and frequency (87.8%), and the duration of medications (84.4%). Nearly one-third of the participants (37.4%) asked about their medications' ADRs. However, the drug information leaflet was the most frequently used source of ADR information (33.3%). The majority of responders believed that both healthcare providers and consumers should report ADRs (93.4% and 80.3%, respectively). Only one-quarter of respondents (27.2%) believed that consumers could directly report ADRs through the Jordan pharmacovigilance program. The majority of patients who had experienced ADRs (70.3%) were aware that ADRs should be reported, and among them, 91.9% had reported the ADRs to healthcare providers. Furthermore, few participants (8.1%) reported it to the Jordan National Pharmacovigilance Centre (JNCP). Linear regression revealed that none of the demographic characteristics (age, gender, education, job, and social status) were affecting public reporting practice of the ADRs (P > 0.05 for all). Conclusion: Respondents showed fair knowledge about adverse drug reactions and their reporting. However, there is a need to initiate educational activities and intervention programs to raise awareness about the JNPC, which will have a positive impact on public health and ensure safe medication use in Jordan.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.217
GPT teacher head0.526
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it