Evidence map›Paper›PMID 38151504›Full record

ArticleEuropean journal of clinical pharmacology2024

Time series analysis of using the PDCA method combined with the Teach-back method to improve spontaneous reports of adverse drug reactions in a grade IIIA hospital in China.

Bo Li, Li Jiang, Li Liao, Yao Chen, Zhi Xu, Ni Wu, Heping Chen, Pan Wu, Tianhu Liu

Abstract read
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In one paragraph

Article in European journal of clinical pharmacology, 2024. 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
0.4field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

9 authors at 2 institutions in 1 country.

Bo LiPharmacy Department, The 3rd Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital, Chengdu, 611730, Sichuan, China.
Li JiangPharmacy Department, The 3rd Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital, Chengdu, 611730, Sichuan, China.
Li LiaoThe Second People's Hospital of Yinbin - Yibin Hospital of West China Hospital of Sichuan University, Yibin, 644000, China.
Yao ChenPharmacy Department, The 3rd Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital, Chengdu, 611730, Sichuan, China.
Zhi XuDepartment of Respiratory and Critical Care Medicine, The 3rd Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital, Chengdu, 611730, Sichuan, China.
Ni WuPharmacy Department, The 3rd Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital, Chengdu, 611730, Sichuan, China.
Heping ChenDrug Clinical Trial Management Center, The 3rd Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital, Chengdu, 611730, Sichuan, China.
Pan WuDrug Clinical Trial Management Center, The 3rd Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital, Chengdu, 611730, Sichuan, China.
Tianhu LiuDrug Clinical Trial Management Center, The 3rd Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital, Chengdu, 611730, Sichuan, China. lthzgl@163.com.
Chengdu Medical College · CNWest China Hospital of Sichuan University · CN

Funding

Chengdu Medical Research Project NO.2022655Sichuan Hospital Association Young Pharmacist Research Special Fund Project NO.22047Sichuan Provincial Medical Youth Innovation Research Project NO.Q20027Southwest Medical University: Key Research Base of Humanities and Social Sciences of Sichuan Provincial Education Department--Sichuan Hospital Management and Development Research Center Foundation Project NO. SCYG2023-06
6 · The paper itself

Abstract

backgroundSpontaneous reporting of adverse drug reactions (ADRs) is essential for the post-marketing safety evaluation of drugs. Therefore, good monitoring of ADRs is vital for strengthening drug supervision, management, and guiding rational drug use. Chinese medical institutions are the primary source of ADR case reports, but the proportion of the reports in grade IIIA hospitals is still low due to serious under-reporting. The 3rd Affiliated Hospital of Chengdu Medical College, Chengdu Pidu District People's Hospital, also has such a problem.

objectiveTo improve the quantity and quality of ADR reports and enhance the level of pharmacovigilance in hospitals, the Third Affiliated Hospital of Chengdu Medical College, People's Hospital of Chengdu Pidu District experienced 10 years to gradually establish a management model to improve the medical staff's reporting rate of spontaneous reporting of ADRs. The management model is led by clinical pharmacists and combines the PDCA with Teach-back methods. The purpose of this paper is to introduce the management model and discuss its advantages and shortcomings of this model.

methodsThis study was conducted at the Third Affiliated Hospital of Chengdu Medical College-Chengdu Pidu District People's Hospital. From 2016, the daily management of reporting, auditing, and data improvement of adverse drug reactions in the hospital was carried out by clinical pharmacists, who used the PDCA method combined with the Teach-back method to continuously improve the reporting program of ADRs in the hospital during 2016-2021. Then, the proportion of spontaneous reports of total, new, and serious ADRs was compared before and after the intervention. Also, we performed a time series analysis using an autoregressive moving average model to assess changes in the total number of spontaneous ADR reports before the intervention (2013-2015), the first intervention (2016-2018), and the second intervention (2019-2021).

resultsAfter the combined PDCA and Teach-back method intervention, the median number of reported ADRs per year increased from 50 (range 37-55) in the pre-intervention period to 88 (range 83-162) in the first intervention period and to 374 in the second (range 312-566). Breakpoint regression analysis of the spontaneous reporting rate of ADRs showed that the instantaneous increase after the first intervention was not statistically significant (P = 0.526). However, the reporting rate of ADRs increased at a month-by-month growth rate during the second intervention compared to the first intervention. Its spontaneous reporting rate improved 1.034 times (P = 0.002). After the second intervention, the spontaneous reporting rate of ADRs transiently increased 6.111-fold (P < 0.001), and the month-to-month growth rate increased 1.024-fold (P < 0.001) again.

conclusionThe management model that combines the PDCA and the Teach-back method significantly improves the reporting rate of adverse drug reactions.

Indexed as

Adverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsChinaHospitalsHumansPharmacovigilanceTime FactorsAdverse drug reactionsClinical pharmacistPlan-Do-Check-Act cycle (PDCA cycle)Teach-back method

Identifiers

PMID38151504
OpenAlexW4390264350

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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.