ArticleMedicine2017
Development of indicators for assessing rational drug use to treat community-acquired pneumonia in children in hospitals and clinics: A modified Delphi study.
Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Pooled it
- Identifying AWaRe indicators for appropriate antibiotic use: a narrative review.The Journal of antimicrobial chemotherapy · 2024Review
- The participation of clinical pharmacists in the treatment of patients with central nervous system infection can improve the effectiveness and appropriateness of anti-infective treatments: a retrospective cohort study.Frontiers in pharmacology · 2023Article
- Establishment of a no-notice drill mode evaluation system for public health emergencies.PloS one · 2022Article
- Evaluation of rational prescribing in paediatrics.BMJ paediatrics open · 2021Article
- Observational
- The drug use to treat community-acquired pneumonia in children: A cross-sectional study in China.Medicine · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Community-acquired pneumonia (CAP) is a common infectious disease in children. Rational drug use (RDU) is an important approach to reducing the disease burden and mortality rate of CAP in children. There are no monitoring indicators for assessing RDU in children. This study aimed to develop a set of indicators to assess RDU to treat CAP in children in hospitals and clinics using a modified Delphi method.Initial indicators were generated based on a systematic review of guidelines and studies investigating CAP in children. A 3-round modified Delphi process in the form of an email survey combined with round-table discussion was then carried out, and an analytic hierarchy process (AHP) was applied to determine the weight of each indicator.A total of 24 and 8 experts were invited to participate in the email survey and round-table discussion, respectively. A consensus was reached after 3 rounds of the Delphi survey. Three first-rank indicators and 23 second-rank indicators were developed, and each indicator was weighted. The first-rank indicators comprised drug choice (45.5%), drug usage and dosage (36.4%), and the duration of drug therapy (18.2%); the second-rank indicators were indicators related to antibiotics (63.6%), antiviral agents (18.2%), traditional Chinese medicines (4.5%), and adjuvant drugs (13.6%). The weight value of drug selection was the highest, followed by the values of drug usage and dosage and the duration of drug therapy.The developed indicator set constitutes the first set intended to assess RDU to treat CAP in children in hospitals (including community hospitals) and clinics. The indicators were based on drug selection, drug usage and dosage and duration of drug therapy, which are associated with most therapeutic drugs for CAP in children. Monitoring these indicators will guide people towards the promotion of RDU in the absence of drug monitoring indicators for CAP. Furthermore, the indicator set constitutes a methodological reference for the development of other indicator sets.
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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.