Evidence map›Paper›PMID 37130666›Full record

ArticleBMJ open2023

Potentially inappropriate prescribing in hospitalised children: a retrospective, cross-sectional study at a tertiary children's hospital in China.

Siyu Li, Liang Huang, Linan Zeng, Dan Yu, Zhi-Jun Jia, Guo Cheng, Huiqing Wang, Lingli Zhang

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

8 authors at 2 institutions in 3 countries.

Siyu LiDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.ORCID 0000-0002-0027-5296
Liang HuangDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Linan ZengDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Dan YuKey Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Ministry of Education, Chengdu, China.
Zhi-Jun JiaDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.
Guo ChengKey Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Ministry of Education, Chengdu, China.
Huiqing WangMedical Simulation Centre, West China Second University Hospital, Sichuan University, Chengdu, China.
Lingli ZhangDepartment of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China zhanglingli@scu.edu.cn.ORCID 0000-0003-3316-010X
National Medical Products Administration · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFor improving and optimising drug use in children, we previously developed a tool (including a series of criteria for identifying potentially inappropriate prescribing in children) by literature review and the two-round Delphi technique to prevent inappropriate medication prescriptions at the prescribing stage.

objectiveTo assess the prevalence of potentially inappropriate prescription (PIP) among hospitalised children and explore risk factors associated with PIP.

designA retrospective cross-sectional study.

settingA tertiary children's hospital in China.

participantsHospitalised children with complete medical records who received drug treatment and discharged from 1 January to 31 December 2021. OUTCOME MEASURES: We evaluated the medication prescriptions by using a series of previously developed criteria for detecting the prevalence of PIP in hospitalised children and used logistic regression to explore the risk factors (including sex, age, number of drugs, number of comorbidities, days of hospitalisation and admission departments) for PIP in children.

resultsA total of 87 555 medication prescriptions for 16 995 hospitalised children were analysed, and 19 722 PIPs were detected. The prevalence of PIP was 22.53%, and 36.92% of the children had at least one PIP during hospitalisation. The department with the highest prevalence of PIP was the surgical department (OR 9.413; 95% CI 5.521 to 16.046), followed by the paediatric intensive care unit (PICU; OR 8.206; 95% CI 6.643 to 10.137). 'Inhaled corticosteroids for children with respiratory infections but without chronic respiratory diseases' was the most frequent PIP. Logistic regression results showed that PIP was more likely to occur in male patients (OR 1.128, 95% CI 1.059 to 1.202) and younger patients (<2 years old; OR 1.974; 95% CI 1.739 to 2.241), and in those with more comorbidities (≥11 types; OR 4.181; 95% CI 3.671 to 4.761), concomitant drugs (≥11 types; OR 22.250; 95% CI 14.468 to 34.223) or longer hospital stay (≥30 days; OR 8.130; 95% CI 6.727 to 9.827).

conclusionsMedications for long-term hospitalised young children with multiple comorbidities should be minimised and optimised, to avoid PIP, reduce adverse drug reactions and ensure children's medication safety. The surgery department and PICU had a high prevalence of PIP in the studied hospital and should be the focus of supervision and management in routine prescription review.

Indexed as

Child, HospitalizedInappropriate PrescribingChildChild, PreschoolChinaCross-Sectional StudiesHumansMalePotentially Inappropriate Medication ListRetrospective StudiesTertiary Care CentersCLINICAL PHARMACOLOGYHEALTH SERVICES ADMINISTRATION & MANAGEMENTPAEDIATRICSPUBLIC HEALTH

Identifiers

PMID37130666
PMCPMC10163496
OpenAlexW4367693839

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.