Factors affecting the development of adverse drug reactions (Review article)

Alomar, Muaed Jamal

doi:10.1016/j.jsps.2013.02.003

Cited by 365 publications

(310 citation statements)

References 112 publications

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“…7 The FDA analyzed the reports of medication errors and the most common errors were wrong dose 41%, wrong drug 16%, and wrong route 16% and the most common factors were low level of knowledge 44%, and poor communication 16%. 8 In a study conducted, in Nigeria, the findings reported MAEs where by wrong drug came on the top 26.4%, 19.8% drug interaction or contraindication present and 16.6% was regarding duration and frequency. 9 Furthermore, to strengthen patient safety there should be a reporting system that is facilitated by a punishment free environment and nurse managers should not punish nurses who reported errors only but also reward the ones with an initiative to do so.…”

Section: Introductionmentioning

confidence: 96%

“…10 Medication errors are among nursing care part that can threaten patient outcomes and paediatric population is vulnerable than others because of their physiology and developmental needs and also because of dosing based on weight, children are at high risk of facing MAEs. 8,[11][12][13] Moreover, paediatric population is highly exposed to Adverse drug reactions (ADRs) because drugs have not been studied deeply in the pediatric population, and there is a low absorption and metabolism because of different factors like immature organs.…”

Section: Introductionmentioning

confidence: 99%

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Perceived contributory factors to medication administration errors (MAEs) and barriers to self-reporting among nurses working in paediatric units of selected referral hospitals in Rwanda

2018

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Background: Medication administration errors (MAEs) occur in health care settings however, the types, contributing factors to MAEs and barriers to reporting are not well studied in Rwandan context.Methods: Quantitative approach was adopted. Descriptive cross-sectional design was used. A convenience sampling was used to select 151 nurses working in the paediatric units of the selected teaching hospitals in Rwanda. Pre-tested questionnaire for validity and reliability was used to collect data. Data was coded and entered into SPSS version 21. Descriptive statistics and inferential statistics (Chi-square test) were used to analyze data.Results: Approximately 33.6% of the participants were able to identify one type, 17.4 % two, 18.1% three, 17.4% four types, 10.7% six types and only 2.7% identified all the seven MAEs. Identified main contributory factor to MAEs was the heavy workload it like this-Identified main contributory factor to MAEs was the heavy workload [82 (55%)]. The main barrier to self-reporting was fear to be blamed if something happens to the patient as a result of the medication administration error (88 (59.1%)). All the socio demographic were associated with the types of MAEs committed by participants. In addition, the experience, marital status and job position of the participants were significantly associated with factors contributing to MAEs (p= .001, p=.000 and p= .044) respectively whereas all the socio demographic were significantly associated with barriers to self reporting.Conclusions: Factors contributing to MAEs were found in both parties and barriers to self-reporting were identified to be the fear reasons and administrative reasons. Therefore, the heavy workload should be addressed to reduce MAEs and a non-punitive environment is imperative in encouraging self-reporting of MAEs.

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Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Perceived contributory factors to medication administration errors (MAEs) and barriers to self-reporting among nurses working in paediatric units of selected referral hospitals in Rwanda

2018

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“…Female are more likely than men to interpret the discomfort that is caused. [17][18][19][20] In this study, 96.25% (n=77) of ADR was identified and reported by trained pharmacist and 3.75% (N=3) by the physician respectively, thus the advantage of the trained pharmacist in identifying ADR is due to their ward round participation, patient interview and careful monitoring of laboratory data of patients. Most of the patients experienced diarrhoea affecting the gastro-intestinal organ system which is also similar to the study by Suh DC et al 21 Murphy et al 8 and Biradar et al 22 reported that aminoglycoside and non-opioid analgesics were the most offending drugs.…”

Section: Discussionmentioning

confidence: 69%

Pattern of Adverse Drug Reactions in a Govt. District Headquarters Hospital in Tamilnadu, India

Ponnusankar¹,

Gupta²,

Satyanarayan³

et al. 2016

IJOPP

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Background: Several literatures have reported adverse drug reaction between 5.9 to 22.3% among hospitalized patient in India and western countries respectively. The present study was undertaken to know the incidence of adverse drug reactions among the hospitalised patients at a secondary care hospital in South India. Method: One year and ten months prospective study included 1000 hospitalized patients at a secondary care hospital whose medical records were reviewed. Suspected adverse drug reactions were evaluated for causality, preventability and severity by Naranjo's probability scale, modified Schumock and Thornton's criteria, and modified Hartwig's criteria, respectively. Results: Among the 1000 hospitalized patients medical charts reviewed, 80 patients experienced adverse drug reaction. Type A reaction accounted for most of adverse drug reaction. 73.75% of the adverse drug reaction was preventable. 56.25% was found to be mild, 43.75% moderate and none of adverse drug reactions was severe. Among the adverse drug reaction 43.75% were reported with diuretic class of drug. The organ systems affected mostly were gastro intestinal tract (46.25%) and haematological system (15%). The significant association was found with age and incidence of adverse drug reaction in the study population. The occurrence of ADR was higher in male medical and lesser in paediatric units. Conclusion: In the present study fewer hospitalised patients experienced adverse drug reactions than compared to study reported by western countries.

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“…Pharmacokinetics and pharmacodynamics of many commonly used drugs vary significantly between different age groups of patients and pediatric population is always at high risk of experiencing ADEs [18]. Adverse drug reactions in children result in relatively more severe effect when compared with adults.…”

Section: Discussionmentioning

confidence: 99%

Safety Signal Detection of Cardiac Disorders Adverse Drug Events for Azithromycin in Pediatric Population Using Health Canada Adverse Event Reporting System Database

Shah

Patel

Jat

2017

Int J Pharm Pharm Sci

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Objective: We conducted signal detection of adverse drug events reported in Health Canada adverse event reporting system database "MedEffect" for azithromycin, a macrolide derivative and the first azalide antimicrobial agent to review the cardiac disorders adverse drug events (ADEs) in pediatric population with the drug labels of selected countries including India, USA, UK, Canada, Switzerland, Australia, New Zealand. Methods:We extracted data between January 1965 and June 2016 from the Canada adverse event reporting system database "MedEffect". Frequentist and Bayesian methods were used to calculate disproportionality distribution of drug-adverse event (AE) pairs. The AE which was detected by all the three indices of proportional reporting ratio (PRR), reporting odds ratio (ROR), and information component (IC) was identified as a potential signal. AE reports for azithromycin, among which 3651 reports were attributed to paediatrics. Results:The signal detected by PRR and ROR for tachycardia associated with azithromycin were found to be 1.3 and for cardiovascular disorder were 1.2. The IC for azithromycin by a Bayesian method was 0.3 for both, tachycardia and cardiovascular disorder. Both AEs of cardiovascular disorder and tachycardia were detected as potential signals of azithromycin for the paediatric population. Comparing drug labels of 7 countries in paediatric population, both adverse events were not listed on any of the labels of seven countries against the pediatric population. Conclusion:We detected 2 new potential signals of azithromycin which were not listed on the labels of 7 countries. Therefore, it should be accompanied by a signal evaluation including causal association, clinical significance, and preventability.

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Factors affecting the development of adverse drug reactions (Review article)

Cited by 365 publications

References 112 publications

Perceived contributory factors to medication administration errors (MAEs) and barriers to self-reporting among nurses working in paediatric units of selected referral hospitals in Rwanda

Perceived contributory factors to medication administration errors (MAEs) and barriers to self-reporting among nurses working in paediatric units of selected referral hospitals in Rwanda

Pattern of Adverse Drug Reactions in a Govt. District Headquarters Hospital in Tamilnadu, India

Safety Signal Detection of Cardiac Disorders Adverse Drug Events for Azithromycin in Pediatric Population Using Health Canada Adverse Event Reporting System Database

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