Evidence map›Paper›PMID 37383293›Full record

ArticleThe Lancet regional health. Southeast Asia2022

Optimizing antibiotic use in Indonesia: A systematic review and evidence synthesis to inform opportunities for intervention.

Ralalicia Limato, Gilbert Lazarus, Puck Dernison, Manzilina Mudia, Monik Alamanda, Erni J Nelwan, Robert Sinto, Anis Karuniawati, H Rogier van Doorn, Raph L Hamers

Open access · diamondAbstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 3% of its field
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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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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

10 authors at 4 institutions in 4 countries.

Ralalicia LimatoEijkman-Oxford Clinical Research Unit, Jakarta, Indonesia.
Gilbert LazarusEijkman-Oxford Clinical Research Unit, Jakarta, Indonesia.
Puck DernisonEijkman-Oxford Clinical Research Unit, Jakarta, Indonesia.
Manzilina MudiaEijkman-Oxford Clinical Research Unit, Jakarta, Indonesia.
Monik AlamandaEijkman-Oxford Clinical Research Unit, Jakarta, Indonesia.
Erni J NelwanFaculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Robert SintoCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Anis KaruniawatiFaculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
H Rogier van DoornCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Raph L HamersEijkman-Oxford Clinical Research Unit, Jakarta, Indonesia.
Eijkman Institute for Molecular Biology · IDUniversity of Indonesia · IDRadboud University Nijmegen · NLUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A major driver of antimicrobial resistance (AMR) and poor clinical outcomes is suboptimal antibiotic use, although data are lacking in low-resource settings. We reviewed studies on systemic antibiotic use (WHO ATC/DDD category J01) for human health in Indonesia, and synthesized available evidence to identify opportunities for intervention. Methods: We systematically searched five international and national databases for eligible peer-reviewed articles, in English and Indonesian, published between 1 January 2000 and 1 June 2021 including: (1) antibiotic consumption; (2) prescribing appropriateness; (3) antimicrobial stewardship (AMS); (4) consumers' and providers' perceptions. Two independent reviewers included studies and extracted data. Study-level data were summarized using random-effects model meta-analysis for consumption and prescribing appropriateness, effect direction analysis for antimicrobial stewardship (AMS) interventions, and qualitative synthesis for perception surveys. (PROSPERO: CRD42019134641). Findings: Of 9323 search hits, we included 100 reports on antibiotic consumption (20), prescribing appropriateness (49), AMS interventions (13), and/or perception (25) (8 categorized in >1 domain). The pooled estimate of overall antibiotic consumption was 134.8 DDD per 100 bed-days (95%CI 82.5-187.0) for inpatients and 121.1 DDD per 1000 inhabitants per day (10.4-231.8) for outpatients. Ceftriaxone, levofloxacin, and ampicillin were the most consumed antibiotics in inpatients, and amoxicillin, ciprofloxacin, and cefadroxil in outpatients. Pooled estimates for overall appropriate prescribing (according to Gyssens method) were 33.5% (18.1-53.4) in hospitals and 49.4% (23.7-75.4) in primary care. Pooled estimates for appropriate prescribing (according to reference guidelines) were, in hospitals, 99.7% (97.4-100) for indication, 84.9% (38.5-98.0) for drug choice, and 6.1% (0.2-63.2) for overall appropriateness, and, in primary care, 98.9% (60.9-100) for indication, 82.6% (50.5-95.7) for drug choice and 10.5% (0.8-62.6) for overall appropriateness. Studies to date evaluating bundled AMS interventions, although sparse and heterogeneous, suggested favourable effects on antibiotic consumption, prescribing appropriateness, guideline compliance, and patient outcomes. Key themes identified in perception surveys were lack of community antibiotic knowledge, and common non-prescription antibiotic self-medication. Interpretation: Context-specific intervention strategies are urgently needed to improve appropriate antibiotic use in Indonesian hospitals and communities, with critical evidence gaps concerning the private and informal healthcare sectors. Funding: Wellcome Africa Asia Programme Vietnam.

Indexed as

Antibiotic consumptionAntibiotic useAntimicrobial stewardshipIndonesiaMeta-analysisSystematic review

Identifiers

PMID37383293
PMCPMC10305907
OpenAlexW4281572093

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.