Evidence map›Paper›PMID 39056089›Full record

ArticleThe Lancet regional health. Western Pacific2024

Evaluation of appropriateness of antibiotic prescribing in primary healthcare institutions in China using proxy indicator.

Haishaerjiang Wushouer, Junxuan Yu, Kexin Du, Weihsin Ko, Weibin Li, Kairui Zhang, Shuo Chen, Bo Zheng, Luwen Shi, Xiaodong Guan

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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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

5 citing papers in PubMed.

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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.

Haishaerjiang WushouerDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
Junxuan YuDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
Kexin DuDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
Weihsin KoDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
Weibin LiDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
Kairui ZhangDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
Shuo ChenDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
Bo ZhengInstitute of Clinical Pharmacology, Peking University First Hospital, Beijing, 100034, China.
Luwen ShiDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
Xiaodong GuanDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Our objectives were to develop a set of proxy indicators (PIs) suited for assessing antibiotic use appropriateness in China's primary healthcare institutions (PHIs), and assess performance scores of these PIs while exploring factors that influence the antibiotic appropriateness. Methods: We selected potential PIs for the PHIs through a RAND-modified Delphi procedure, and assessed clinimetric properties, focusing on measurability, applicability, and potential for improvement. PIs with favorable clinimetric properties were used to evaluate antibiotic prescription appropriateness by calculating performance scores of each PI. Institutions were categorized into three clusters representing different levels of appropriateness. We used the chi-square test and an ordinal logistic regression model at PHI level to explore factors influencing antibiotic appropriateness. Findings: Eighteen PIs were developed through two rounds of online surveys and one face-to-face meeting involving 20 stakeholders. All PIs met the clinimetric properties criteria and were used to analyze 209,662 antibiotic prescriptions across 269 PHIs. The percentage of PHIs meeting the target ranged from 3.1% to 69.3%, with 6 PIs below 10%. The appropriateness of antibiotic prescriptions was significantly associated with percentages of patients' gender of the PHIs. Interpretation: The varied and suboptimal performance of the PIs indicated the need for diverse efforts to enhance the rational antibiotic use at PHI level. It was necessary to devise distinct sets of PIs for diverse settings in future endeavors. Funding: This work was supported by the National Natural Science Foundation of China (grant numbers 72374009, 81973294).

Indexed as

Antibiotic prescriptionsAppropriatenessClustersPrimary healthcare institutionsProxy indicators

Identifiers

PMID39056089
PMCPMC11269779

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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.