{"title":"埃塞俄比亚西南部吉玛大学医学中心诊断为传染病的儿科患者用药错误及其影响因素:前瞻性观察研究","authors":"Desalegn Feyissa, Bezie Kebede, Ameha Zewudie, Yitagesu Mamo","doi":"10.2147/IPRP.S264941","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Medication errors in pediatric patients are grossly underreported. Pediatric patients are quite susceptible to medication errors. Potential injury by medication error is higher in young children and infants. It results in serious morbidity and mortality. Thus, this study aimed to assess medication error and its contributing factors among pediatric patients diagnosed with infectious diseases admitted to Jimma University Medical Center.</p><p><strong>Methods: </strong>A prospective observational study was conducted among pediatric patients with infectious diseases admitted from April 1 to June 30, 2018. The patient's written informed consent was obtained after explaining the purpose of the study. The data were collected by structured questionnaire. Data were entered into EpiData version 4.0.2 and then exported to SPSS version 21.0 for analysis. To identify the predictors of medication error, backward logistic regression analysis was done.</p><p><strong>Results: </strong>From a total of the 325 study participants, 136 (41.8%) patients had at least one medication error during their hospital stay. A total of 273 medication errors were identified among 136 patients. Medication errors frequently occurred at prescribing stage 94 (34.4%). The most common types of medication errors were wrong dosing 72 (26.4%) and wrong frequency 47 (17.2%). Presence of disease comorbidity (AOR=1.64, 95%CI=1.01-2.67), being male (AOR=1.79, 95%CI:1.13-2.86) and presence of two infectious diseases (AOR=1.96, 95%CI: 1.20-3.23) and more than three infectious diseases (AOR=2.04, 95%CI: 1.03-4.01) were independent predictors of medication error occurrence.</p><p><strong>Conclusion and recommendation: </strong>Medication errors were common in pediatric patients with infectious diseases in the study area. Presence of comorbidities, being male and the number of infectious diseases were associated with the occurrence of medication errors. Therefore, to reduce medication errors in the study setting, e-prescribing, computerized provider order entry, medication reconciliation, and collaboration of clinical pharmacists with other health professionals are needed.</p>","PeriodicalId":45655,"journal":{"name":"Integrated Pharmacy Research and Practice","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2147/IPRP.S264941","citationCount":"7","resultStr":"{\"title\":\"Medication Error and Its Contributing Factors Among Pediatric Patients Diagnosed with Infectious Diseases Admitted to Jimma University Medical Center, Southwest Ethiopia: Prospective Observational Study.\",\"authors\":\"Desalegn Feyissa, Bezie Kebede, Ameha Zewudie, Yitagesu Mamo\",\"doi\":\"10.2147/IPRP.S264941\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Medication errors in pediatric patients are grossly underreported. Pediatric patients are quite susceptible to medication errors. Potential injury by medication error is higher in young children and infants. It results in serious morbidity and mortality. Thus, this study aimed to assess medication error and its contributing factors among pediatric patients diagnosed with infectious diseases admitted to Jimma University Medical Center.</p><p><strong>Methods: </strong>A prospective observational study was conducted among pediatric patients with infectious diseases admitted from April 1 to June 30, 2018. The patient's written informed consent was obtained after explaining the purpose of the study. The data were collected by structured questionnaire. Data were entered into EpiData version 4.0.2 and then exported to SPSS version 21.0 for analysis. To identify the predictors of medication error, backward logistic regression analysis was done.</p><p><strong>Results: </strong>From a total of the 325 study participants, 136 (41.8%) patients had at least one medication error during their hospital stay. A total of 273 medication errors were identified among 136 patients. Medication errors frequently occurred at prescribing stage 94 (34.4%). The most common types of medication errors were wrong dosing 72 (26.4%) and wrong frequency 47 (17.2%). Presence of disease comorbidity (AOR=1.64, 95%CI=1.01-2.67), being male (AOR=1.79, 95%CI:1.13-2.86) and presence of two infectious diseases (AOR=1.96, 95%CI: 1.20-3.23) and more than three infectious diseases (AOR=2.04, 95%CI: 1.03-4.01) were independent predictors of medication error occurrence.</p><p><strong>Conclusion and recommendation: </strong>Medication errors were common in pediatric patients with infectious diseases in the study area. Presence of comorbidities, being male and the number of infectious diseases were associated with the occurrence of medication errors. Therefore, to reduce medication errors in the study setting, e-prescribing, computerized provider order entry, medication reconciliation, and collaboration of clinical pharmacists with other health professionals are needed.</p>\",\"PeriodicalId\":45655,\"journal\":{\"name\":\"Integrated Pharmacy Research and Practice\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2020-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.2147/IPRP.S264941\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Integrated Pharmacy Research and Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2147/IPRP.S264941\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integrated Pharmacy Research and Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/IPRP.S264941","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
Medication Error and Its Contributing Factors Among Pediatric Patients Diagnosed with Infectious Diseases Admitted to Jimma University Medical Center, Southwest Ethiopia: Prospective Observational Study.
Background: Medication errors in pediatric patients are grossly underreported. Pediatric patients are quite susceptible to medication errors. Potential injury by medication error is higher in young children and infants. It results in serious morbidity and mortality. Thus, this study aimed to assess medication error and its contributing factors among pediatric patients diagnosed with infectious diseases admitted to Jimma University Medical Center.
Methods: A prospective observational study was conducted among pediatric patients with infectious diseases admitted from April 1 to June 30, 2018. The patient's written informed consent was obtained after explaining the purpose of the study. The data were collected by structured questionnaire. Data were entered into EpiData version 4.0.2 and then exported to SPSS version 21.0 for analysis. To identify the predictors of medication error, backward logistic regression analysis was done.
Results: From a total of the 325 study participants, 136 (41.8%) patients had at least one medication error during their hospital stay. A total of 273 medication errors were identified among 136 patients. Medication errors frequently occurred at prescribing stage 94 (34.4%). The most common types of medication errors were wrong dosing 72 (26.4%) and wrong frequency 47 (17.2%). Presence of disease comorbidity (AOR=1.64, 95%CI=1.01-2.67), being male (AOR=1.79, 95%CI:1.13-2.86) and presence of two infectious diseases (AOR=1.96, 95%CI: 1.20-3.23) and more than three infectious diseases (AOR=2.04, 95%CI: 1.03-4.01) were independent predictors of medication error occurrence.
Conclusion and recommendation: Medication errors were common in pediatric patients with infectious diseases in the study area. Presence of comorbidities, being male and the number of infectious diseases were associated with the occurrence of medication errors. Therefore, to reduce medication errors in the study setting, e-prescribing, computerized provider order entry, medication reconciliation, and collaboration of clinical pharmacists with other health professionals are needed.
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