Evidence map›Paper›PMID 33198719›Full record

ArticleBMC complementary medicine and therapies2020

Characteristics of prescriptions and costs for acute upper respiratory tract infections in Chinese outpatient pediatric patients: a nationwide cross-sectional study.

Shan Wang, Lihua Liu, Jianchao Liu, Likun Miao, Qian Zhuang, Ning Guo, Jing Zhao, Quanzheng Li, Guoquan Ren

Open access · goldAbstract read
In one paragraph

Article in BMC complementary medicine and therapies, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 5 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

9 authors at 4 institutions in 2 countries.

Shan WangChinese People's Liberation Army General Hospital, 28 Fuxing Road, Haidian, Beijing, 100853, China.
Lihua LiuChinese People's Liberation Army General Hospital, 28 Fuxing Road, Haidian, Beijing, 100853, China.
Jianchao LiuChinese People's Liberation Army General Hospital, 28 Fuxing Road, Haidian, Beijing, 100853, China.
Likun MiaoChinese People's Liberation Army General Hospital, 28 Fuxing Road, Haidian, Beijing, 100853, China.
Qian ZhuangChinese People's Liberation Army General Hospital, 28 Fuxing Road, Haidian, Beijing, 100853, China.
Ning GuoMassachusetts General Hospital, Center for Advanced Medical Computing and Analysis, 55 Fruit Street, Boston, Massachusetts, 02114, USA.
Jing ZhaoChinese People's Liberation Army General Hospital, 28 Fuxing Road, Haidian, Beijing, 100853, China.
Quanzheng LiChina National Engineering Laboratory of Application Technology in Medical Big Data, 28 Fuxing Road, Haidian, Beijing, 100853, China.
Guoquan RenChinese People's Liberation Army General Hospital, 28 Fuxing Road, Haidian, Beijing, 100853, China. renguoquan301@outlook.com.ORCID http://orcid.org/0000-0001-5041-6811
Hainan 301 Hospital · CNMassachusetts General Hospital · USNational Health and Family Planning Commission · CNPeking University · CN

Funding

General Hospital of People's Liberation Army 2017MBD-001Ministry of Science and Technology of the People's Republic of China 2017YFC090840National Natural Science Foundation of China 71704033
6 · The paper itself

Abstract

backgroundTo understand the characteristics of prescriptions and costs in pediatric patients with acute upper respiratory infections (AURI) is important for the regulation of outpatient care and reimbursement policy. This study aims to provide evidence on these issues that was in short supply.

methodsWe conducted a retrospective cross-sectional study based on data from National Engineering Laboratory of Application Technology in Medical Big Data. All outpatient pediatric patients aged 0-14 years with an uncomplicated AURI from 1 January 2015 to 31 December 2017 in 138 hospitals across the country were included. We reported characteristics of patients, the average number of medications prescribed per encounter, the categories of medication used and their percentages, the cost per visit and prescription costs of drugs. For these measurements, discrepancies among diverse groups of age, regions, insurance types, and AURI categories were compared. Kruskal-Wallis nonparametric test and Student-Newman-Keuls test were performed to identify differences among subgroups. A multinomial logistic regression was conducted to examine the independent effects of those factors on the prescribing behavior.

resultsA total of 1,002,687 clinical records with 2,682,118 prescriptions were collected and analyzed. The average number of drugs prescribed per encounter was 2.8. The most frequently prescribed medication was Chinese traditional patent medicines (CTPM) (36.5% of overall prescriptions) followed by antibiotics (18.1%). It showed a preference of CPTM over conventional medicines. The median cost per visit was 17.91 USD. The median drug cost per visit was 13.84 USD. The expenditures of antibiotics and CTPM per visit (6.05 USD and 5.87 USD) were among the three highest categories of drugs. The percentage of out-of-pocket patients reached 65.9%. Disparities were showed among subgroups of different ages, regions, and insurance types.

conclusionsThe high volume of CPTM usage is the typical feature in outpatient care of AURI pediatric patients in China. The rational and cost-effective use of CPTM and antibiotics still faces challenges. The reimbursement for child AURI cases needs to be enhanced.

Indexed as

Acute DiseaseAdolescentAnti-Bacterial AgentsChildChild, PreschoolChinaCost of IllnessCross-Sectional StudiesDrug CostsDrug PrescriptionsDrugs, Chinese HerbalFemaleHealth ExpendituresHumansInfantMaleAnti-Bacterial AgentsDrugs, Chinese HerbalChinaCostOutpatientPediatricPrescriptionUpper respiratory tract infections

Identifiers

PMID33198719
PMCPMC7667745
OpenAlexW3102150356

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.