Errores de prescripción médica en recetas atendidas en el Hospital Carlos Monge Medrano, Juliaca – Puno 2024.
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Universidad Privada de Huancayo Franklin Roosevelt
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El objetivo fue determinar los errores de prescripción médica en recetas atendidas en el Hospital Carlos Monge Medrano, Juliaca- Puno, 2024. La metodología fue no experimental, retrospectivo y transversal. La muestra fue compuesta por 350 recetas. Los resultados muestran que el 2.30% no incluyó nombres y apellidos, el 5.10% no registró el diagnóstico, el 17.10% no indicó la edad y el 30.57% no incluyó el código CIE-10 del paciente. En cuanto a los datos del prescriptor: se demostró que el 1.70% omite nombres y apellidos, el 3.10% no consigna su número de colegiatura, en relación a los datos del medicamento, no se encontraron errores en cuanto del DCI, él 4.00% no registra la concentración, el 35.40% no detalla la forma farmacéutica, el 73.10% no incluye la dosis. Se concluyó que la mayoría de los errores detectados están asociados a los datos del medicamento.
The objective was to determine prescription errors in prescriptions filled at the Carlos Monge Medrano Hospital, Juliaca-Puno, 2024. The methodology was non-experimental, retrospective and cross-sectional. The sample consisted of 350 prescriptions. The results show that 2.30% did not include names and surnames, 5.10% did not record the diagnosis, 17.10% did not indicate age and 30.57% did not include the ICD-10 code of the patient. Regarding the prescriber's data, it was shown that 1.70% omitted names and surnames, 3.10% did not include the prescriber's number, in relation to the drug data, no errors were found regarding the INN, 4.00% did not record the concentration, 35.40% did not detail the pharmaceutical form, 73.10% did not include the dosage. It was concluded that most of the errors detected are associated with the drug data.
The objective was to determine prescription errors in prescriptions filled at the Carlos Monge Medrano Hospital, Juliaca-Puno, 2024. The methodology was non-experimental, retrospective and cross-sectional. The sample consisted of 350 prescriptions. The results show that 2.30% did not include names and surnames, 5.10% did not record the diagnosis, 17.10% did not indicate age and 30.57% did not include the ICD-10 code of the patient. Regarding the prescriber's data, it was shown that 1.70% omitted names and surnames, 3.10% did not include the prescriber's number, in relation to the drug data, no errors were found regarding the INN, 4.00% did not record the concentration, 35.40% did not detail the pharmaceutical form, 73.10% did not include the dosage. It was concluded that most of the errors detected are associated with the drug data.
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