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Self-medication among Alexandria University students and effect of an educational intervention on their self-medication knowledge, attitudes and practices

2020· article· en· W3009450848 on OpenAlexaboutno aff
Sara A. Hanafy, Zahira Metwally Gad, Mohamed D. El Bourgy, Iman Wahdan

Bibliographic record

VenueInternational Journal of Community Medicine and Public Health · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsnot available
FundersAlexandria University
KeywordsIntervention (counseling)Family medicineLogistic regressionMedicineInterviewSelf-medicationMotivational interviewingQuarter (Canadian coin)Health educationCross-sectional studyTest (biology)PsychologyPublic healthNursingGeography

Abstract

fetched live from OpenAlex

Background: Self-medication (SM) among university students is a growing prevalent public health concern worldwide. It is highly prevalent in developing countries. SM leads to serious consequences such as drug misuse/abuse and adverse drug reactions. The study aims to determine the prevalence of SM among university students in Alexandria, Egypt and to assess the effect of an educational intervention on their SM knowledge, attitudes and self-reported practices (KAP).Methods: The study was conducted among 400 students using a cross sectional approach followed by one group pre/post-test intervention approach. Data were collected using an interviewing questionnaire. A health education program was designed and implemented among students then KAP were reassessed using the same questionnaire.Results: The prevalence of SM was estimated to be 79.5% among Alexandria University students. About one quarter (24.5%) of students had poor level of knowledge about SM and 47.5% had positive attitude towards SM. Logistic regression analysis revealed that father's occupation as clerical, family member working as healthcare professional, medication sharing practice, and total SM knowledge score were the significant independent factors that affected SM. There were significant differences between pre and post intervention KAP scores.Conclusions: The prevalence of SM is high among university students. There is a significant effect of the intervention program on KAP about SM.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.390
Teacher spread0.347 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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