ArticleJournal of tropical medicine2022
Antimicrobial Resistance Situation in Indonesia: A Challenge of Multisector and Global Coordination.
Article in Journal of tropical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Article
- Occurrence and Molecular Characterization of Extended-Spectrum Beta-Lactamase (ESBL)-ProducingAntibiotics (Basel, Switzerland) · 2025Article
- The unseen climate health risks of antimicrobial resistance in urban informal settlements.Nature medicine · 2025Article
- Dissemination and phenotypic characterization of ESBL-producingOpen veterinary journal · 2025Article
- Detection of multidrug-resistantOpen veterinary journal · 2025Article
- Surveillance of travel-associated isolates elucidates the diversity of non-pandemicMicrobial genomics · 2024Article
- Article
- Knowledge, attitudes, and practices among medical students toward depression management: a cross-sectional study in China.Frontiers in public health · 2024Article
- Prevalence of multidrug-resistant and extended-spectrum β-lactamase producingVeterinary world · 2024Article
- One Health approach and zoonotic diseases in Indonesia: Urgency of implementation and challenges.Narra J · 2023Review
- Development and Validation of Questionnaire to Measure Parents' Knowledge, Attitude, and Practice on Self-Medication of Children with Antibiotics in Bandung, Indonesia.Infection and drug resistance · 2023Article
- Article
- The Effort to Rationalize Antibiotic Use in Indonesian Hospitals: Practice and Its Implication.Journal of tropical medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High levels of antimicrobial resistance (AMR) in Indonesia are caused by the use of inappropriate antimicrobials (AM) in healthcare services and the livestock and fisheries sector. The available data and information about overused antibiotics and the AMR threat in Indonesia are limited. The aim of the study is to describe the AMR situation in Indonesia based on perceptions of government officials, health professionals, and the community to determine actions needed to develop AMR-related strategy and policy. The study was done in eight provinces in Indonesia and included reviewing AMR-related policy, collecting antibiotic use reports in primary health care from health offices and hospitals, and conducting in-depth interviews and focus group discussions with informants from health and nonhealth sectors. The results of the study show that AM misuse happens not only in healthcare facilities but also in communities. Medical officers are unfamiliar with AMR-related policy, as are officers in the livestock and fisheries sectors. There is limited coordination between sectors regarding the AMR situation in Indonesia. The government has to take stronger measures to oversee better implementation of AMR policies.
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.