Evidence map›Paper›PMID 37803370›Full record

ArticleBMC medical education2023

Exploring the training of chinese medical staff oriented to the need for clinical drug information services: from the perspective of drug information patients obtained and need.

Rong Huang, Yuankai Huang, Jiayuan Liu, Lei Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Rong Huang *NMPA Key Laboratory for Drug Regulatory Innovation and Evaluation, China Pharmaceutical University, Longmian Avenue 639, Jiangning District, Nanjing, China.
Yuankai Huang *NMPA Key Laboratory for Drug Regulatory Innovation and Evaluation, China Pharmaceutical University, Longmian Avenue 639, Jiangning District, Nanjing, China.
Jiayuan LiuNMPA Key Laboratory for Drug Regulatory Innovation and Evaluation, China Pharmaceutical University, Longmian Avenue 639, Jiangning District, Nanjing, China. jiayuan.liu@cpu.edu.cn.
Lei ChenNMPA Key Laboratory for Drug Regulatory Innovation and Evaluation, China Pharmaceutical University, Longmian Avenue 639, Jiangning District, Nanjing, China. cpuchenlei@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are some gaps between the training of drug information service competencies for medical staff and drug information patients need in China.

objectiveTo investigate drug information patients obtained and need for further providing directions for the training of drug information service competencies among medical staff in China from patients' perspectives.

methodsA face-to-face nationwide survey was conducted using a stratified sampling method. Data were analyzed descriptively using frequencies, percentages and mean. Several subgroup analyses using Chi-square tests were conducted to identify patients' need for drug information in China.

resultsA total of 1994 questionnaires from medical institutions in China were returned. Most of the drug information obtained by patients came from physicians, and different types of drug information were important to patients. Additionally, patients had different needs for drug information due to age, gender, diagnosis and treatment status, and education level.

conclusionsThe training of medical staff needs to increase the presence of nurses and pharmacists in drug information services, enhance the awareness of "patient-centered" services, and improve the ability to provide information services specific to the characteristics of patients.

Indexed as

Drug Information ServicesMedical StaffPhysiciansChinaHumansPatientsSurveys and QuestionnairesCapacity trainingDrug Information ServiceInformation needsInformation obtainedMedical staff

Identifiers

PMID37803370
PMCPMC10559467

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LicenceCC BY
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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.