Researchers using EHR-based phenotype definitions should clearly specify the characteristics that comprise the definition, variations of ADA criteria, and how different phenotype definitions and components impact the patient populations retrieved and the intended application. Careful attention to phenotype definitions is critical if the promise of leveraging EHR data to improve individual and population health is to be fulfilled.
Objectives: The present study assessed the perception of medication error among the Interns and Staff Nurses and also elicited the experiences of those who have witnessed or committed medication error.Method: A mixed method approach was adopted, and by Purposive sampling technique, 50 Interns and 50 Staff Nurses were selected as participants. The initial Quantitative Phase Data was obtained by using Demographic proforma, and Modified Gladstone scale of medication error. Qualitative Phase data was collected by Semi-Structured open-ended Questionnaire.
Result:The findings of Descriptive and Inferential statistical analysis revealed that Majority of the Staff nurses had High Perception (52%) and Interns had Moderate perception (68%) about the medication error. Staff nurses (51.14) perception of medication error was higher than that of Interns (46.70). In the second phase Qualitative data was collected by Semi-Structured open-ended Questionnaire, and the verbatim was analyzed by Colaizzi's data analysis. With the verbatim, six themes emerged, which are Patient safety threat, Physical and physiological effect, Handling the error, reporting attitude, negative emotions, and problem focus strategy of medication error. The triangulation of Qualitative and Quantitative findings revealed the congruency between the four domains like causes, types, reporting behavior, and Views or feelings on medication error.
Conclusion:The study identified the gap between the nurse's perception of medication error with their actual knowledge. It was clear that the nurses need specific information about what constitutes medication error.
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