ArticleInfection and drug resistance2023
Understanding Public Knowledge and Behavior Regarding Antibiotic Use in Indonesia.
Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Status and implications of the knowledge, attitudes and practices towards AWaRe antibiotic use, resistance and stewardship among low- and middle-income countries.JAC-antimicrobial resistance · 2025Review
- Phylogenetic analysisOpen veterinary journal · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Inappropriate use of antibiotics is a prominent factor contributing to the development of antibiotic resistance, which subsequently increases healthcare costs and heightens mortality rates. Objective: This study sought to evaluate the level of knowledge and behavior pertaining to antibiotic usage within the Indonesian population. Methods: This observational study was conducted in Indonesia between December 2019 and June 2020 and employed a validated questionnaire to survey 582 respondents. A comparative analysis was performed to investigate the differences in mean scores across various respondent characteristics, specifically related to their knowledge and practice regarding antibiotic usage. Regression analysis was used to identify the factors influencing the adoption of appropriate behavior in antibiotic utilization. Results: Study participants comprised 68.2% males and 31.8% females. Participants achieved an average score of 4.86 ± 2.40 out of eight points for knowledge and behavior with an average score of 5.29 ± 1.85 out of seven points. Approximately 57.7% and 56.0% of the respondents have knowledge and behavior scores above the average score of the total population, respectively. The findings indicated notable variations in average knowledge scores associated with educational attainment and employment status regarding antibiotic use. Similarly, differences were observed in gender and employment status concerning behavior. Regression analysis highlighted that employment status, trust in physicians, and possessing sound knowledge of antibiotic usage were significant predictors of good behavior in utilizing antibiotics. Some misconceptions were identified, such as using antibiotics to kill viruses and believing antibiotics are effective for any kind of disease. Conclusion: Less than 60% of the respondents have knowledge and behavior scores above the average score of the total population; however, there are some misconceptions regarding antibiotic utilization. This underscores the importance of implementing targeted strategies, such as health education and public health campaigns, to improve the population's understanding of the correct antibiotic use.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.