Magister Public Health - MPH / Background: Healthcare providers are critical to collecting information on drug safety and successful adverse drug reaction (ADR) reporting. The roles of doctors and pharmacists have been recognized as important to voluntary ADR reporting and their roles are consistently being investigated. However, despite the strategic role of nurses in medicine administration, their role in ADR reporting has not been widely explored, particularly in sub-Saharan African countries. Aim: To assess the knowledge, attitudes and practice of ADR reporting amongst nurses in Lagos University Teaching Hospital (LUTH), a tertiary hospital located in Lagos; the economic centre of Nigeria, as well as the most populous city in the country. Methodology: A cross-sectional descriptive survey with analytical components was conducted among nurses in a tertiary institution. All nurses working in major specialties - out-patients’ clinics, theatre and clinical wards in the facility, were eligible to participate in the study. Student nurses undergoing training or postings in the facility were excluded from the study. A sample size of 124 nurses was calculated using OpenEpi sample size calculator based on an estimated study population of 400 with a 95% confidence interval and an assumed 5% of nurses reporting an ADR based on National Pharmacovigilance Centre database. A sample of 140 nurses was selected in an attempt to realize sample. Cluster sampling was used to randomly select clinics and wards and all nurses in the selected clusters were included in the study. A structured questionnaire consisting of close-ended questions was used. It comprised sections on nurses’ characteristics, knowledge of pharmacovigilance concepts, attitudes towards ADR reporting, and barriers to and practice of ADR reporting. Data collected were entered into an Excel spreadsheet and imported to the SPSS version 20 software for analysis. Descriptive analyses were conducted on all the variables and cross-tabulation between selected variables was explored to test for statistical significance using chi-squared test.