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BMJ Open ; 10(2): e034553, 2020 02 25.
Article in English | MEDLINE | ID: mdl-32102821

ABSTRACT

OBJECTIVE: This study aimed to assess the knowledge, attitude and practice of adverse drug reactions (ADRs) reporting and identify factors associated with ADRs reporting among healthcare professionals (HCPs) working in Tigray region, Ethiopia. MATERIALS AND METHODS: A cross-sectional study was conducted between January and March of 2019 in a tertiary care hospital in Tigray region, Ethiopia. A self-administered, pretested questionnaire was administered to HCPs. Data were summarised using descriptive statistics. Logistic regression analysis was used to identify factors associated with poor ADRs reporting practices. RESULTS: In total, 362 questionnaires were distributed, and the response rate was 84.8% (n=307). Of all respondents, 190 (61.9%) were nurses, 63 (20.5%) were pharmacist and 54 (17.6%) were physicians. About 58.3% of HCPs had poor knowledge of ADRs reporting. The majority of the respondents had a positive attitude (59.9%), and only a few (32.1%) respondents have good ADRs reporting practices. Poor knowledge (adjusted OR (AOR)=2.63, 95% CI: 1.26 to 5.45) and lack of training on ADRs reporting (AOR=7.31, 95% CI: 3.42 to 15.62) were both negatively associated with ADRs reporting practice, whereas higher work experience (≥10 years) (AOR=0.36, 95% CI: 0.13 to 0.97) was positively associated with ADRs reporting practice. CONCLUSIONS: The majority of HCPs had poor knowledge and practice, but a positive attitude towards ADRs reporting. Poor knowledge, less work experience and lack of training were associated with poor ADRs reporting practice. Hence, strategies to improve the knowledge and practice of ADRs reporting should be implemented, particularly for untrained and less experienced HCPs.


Subject(s)
Adverse Drug Reaction Reporting Systems/standards , Attitude of Health Personnel , Clinical Competence/statistics & numerical data , Personnel, Hospital/standards , Adult , Adverse Drug Reaction Reporting Systems/statistics & numerical data , Cross-Sectional Studies , Ethiopia , Female , Humans , Logistic Models , Male , Middle Aged , Personnel, Hospital/statistics & numerical data , Self Report , Tertiary Care Centers
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