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
- PMID: 38151504
- DOI: 10.1007/s00228-023-03601-5
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
Abstract
Background: Spontaneous 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.
Objective: To 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.
Methods: This 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).
Results: After 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.
Conclusion: The management model that combines the PDCA and the Teach-back method significantly improves the reporting rate of adverse drug reactions.
Keywords: Adverse drug reactions; Clinical pharmacist; Plan-Do-Check-Act cycle (PDCA cycle); Teach-back method.
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Similar articles
-
A time series analysis of the effects of financial incentives and mandatory clinical applications as interventions to improve spontaneous adverse drug reaction reporting by hospital medical staff in China.J Eval Clin Pract. 2017 Dec;23(6):1316-1321. doi: 10.1111/jep.12780. Epub 2017 Jul 4. J Eval Clin Pract. 2017. PMID: 28675578
-
An intervention to improve spontaneous adverse drug reaction reporting by hospital physicians: a time series analysis in Spain.Drug Saf. 2009;32(1):77-83. doi: 10.2165/00002018-200932010-00007. Drug Saf. 2009. PMID: 19132807
-
Promoting spontaneous adverse drug reaction reporting in hospitals using a hyperlink to the online reporting form: an ecological study in Portugal.Drug Saf. 2012 May 1;35(5):387-94. doi: 10.2165/11597190-000000000-00000. Drug Saf. 2012. PMID: 22468615
-
Evaluation of patient reporting of adverse drug reactions to the UK 'Yellow Card Scheme': literature review, descriptive and qualitative analyses, and questionnaire surveys.Health Technol Assess. 2011 May;15(20):1-234, iii-iv. doi: 10.3310/hta15200. Health Technol Assess. 2011. PMID: 21545758 Review.
-
Reporting, Monitoring, and Handling of Adverse Drug Reactions in Australia: Scoping Review.JMIR Public Health Surveill. 2023 Jan 16;9:e40080. doi: 10.2196/40080. JMIR Public Health Surveill. 2023. PMID: 36645706 Free PMC article.
Cited by
-
Short-term usage of proton pump inhibitors during admission was associated with increased risk of rehospitalization in critically ill patients with myocardial infarction: a cohort study.Eur J Clin Pharmacol. 2024 Nov;80(11):1741-1750. doi: 10.1007/s00228-024-03737-y. Epub 2024 Aug 14. Eur J Clin Pharmacol. 2024. PMID: 39141126
References
-
- Edwars IR, Aronson JK (2000) Adverse drug reactions: definitions, diagnosis, and management. Lancet 356(9237):1255–1259. https://doi.org/10.1016/s0140-6736(00)02799-9 - DOI
-
- World Health Organization (2002) Safety of medicines: a guide to detecting and reporting adverse drug reactions: why health professionals need to take action
-
- Bates DW (2001) Costs of drug-related morbidity and mortality: enormous and growing rapidly. J Am Pharm Assoc (Wash) 41(2):156–7. https://doi.org/10.1016/s1086-5802(16)31242-6
-
- Marques J et al (2014) A survey of spontaneous reporting of adverse drug reactions in 10 years of activity in a pharmacovigilance centre in Portugal. Int J Pharm Pract 22(4):275–82. https://doi.org/10.1111/ijpp.12078
-
- Rottenkolber D et al (2011) Adverse drug reactions in Germany: direct costs of internal medicine hospitalizations. Pharmacoepidemiol Drug Saf 20(6):626–34. https://doi.org/10.1002/pds.2118
MeSH terms
Grants and funding
- NO.Q20027/Sichuan Provincial Medical Youth Innovation Research Project
- NO.22047/Sichuan Hospital Association Young Pharmacist Research Special Fund Project
- NO. SCYG2023-06/Southwest 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.2022655/Chengdu Medical Research Project
LinkOut - more resources
Full Text Sources
Medical
Research Materials