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1.
Rev Esc Enferm USP ; 44(1): 139-46, 2010 Mar.
Article in Portuguese | MEDLINE | ID: mdl-20394231

ABSTRACT

The objectives of this study were to identify and analyze the types of medication errors observed in doses prepared and administered differently from those prescribed. It is a descriptive study using the root cause analysis method, in which a secondary analysis of data from a previously existing investigation was performed. In the study, 74 medication errors were identified during medication preparation and administration by the nursing staff. Dose errors (24.3%), schedule errors (22.9%) and unauthorized medication administration errors (13.5%) were the most frequent. Hence, medication errors were identified, and root cause analysis was performed, leading to the identification of multiple factors that contributed to error occurrence. Strategies and recommendations were presented for the prevention of errors.


Subject(s)
Hospitals, University , Medication Errors/statistics & numerical data , Risk Management , Humans
2.
Rev Esc Enferm USP ; 40(4): 524-32, 2006 Dec.
Article in Portuguese | MEDLINE | ID: mdl-17310569

ABSTRACT

This study analyzed the causes, types, administrative measures taken and suggestions concerning medication errors according to the perspective of professionals involved with the medication systems in four Brazilian hospitals. It is an exploratory, survey-type, multicentric study. The sample consisted of professionals from the medical clinic and pharmacy in the above-mentioned hospitals. Semistructured interviews were used for data collection. Results showed that the most frequently error types mentioned by the professionals were related to medication ordering/transcription. Lack of attention, individual mistakes and problems in service management were the major causes of errors. Reports were the main measures taken in view of errors, and changes in individual attitudes were the most frequently mentioned form to prevent them.


Subject(s)
Hospitals , Medication Errors , Brazil , Humans , Interviews as Topic , Medication Errors/prevention & control , Medication Errors/statistics & numerical data
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