Objective. To identify the prevalence of anemia in patients treated from January to July in the years 2019 to 2023, focusing on variables such as sex, age, and year. Methods. Blood samples were collected and analyzed from patients treated during the defned period. Anemia diagnoses were identified using ICD-10 codes. The analysis focused on variations by sex and age group. Descriptive statistics were applied using frequency tables based on the distribution ofconfirmed anemia cases. Results. A total of 1,048,575 confrmed anemia cases were recorded, with a signifcant increase from 122 cases in 2019 to 581,404 in 2023. Anemia was more prevalent in women (80.9%) than in men (19.1%). Signifcant differences in anemia prevalence were observed among age groups: 0 to 11 years (14.1%), 12 to 17 years (18.1%), 18 to 29 years (18.0%), 30 to 59 years (43.9%), and over 60 years (5.9%). Anemia frequency...

El estudio propone y valida un instrumento para evaluar con precisión la clasificación y calificación científica e innovadora de los investigadores científicos en el contexto específico del Perú. La escala inicial de 50 ítems se redujo a 30 ítems tras un análisis experto y estadístico, dichos ítems abarcan el ""Pensamiento Innovador"", ""Actitud Innovadora"", ""Productividad Científica"" y ""Análisis de Producción Científica"". Se utiliza un enfoque positivista (psicométrico) con un diseño instrumental para evaluar la validez y confiabilidad de los instrumentos. Siete expertos validaron el contenido y se utilizó V de Aiken, eliminando ítems con fallas de redacción y comprensión. El análisis de los ítems restantes mostró valores estadísticos que respaldan la validez de las medidas cuantitativas. El análisis factorial confirmatorio de los 30 ítems seleccionados ...