El análisis de políticas públicas es un campo disciplinar donde convergen múltiples teorías y procedimientos metodológicos. Esta nota de investigación aborda la pregunta sobre si es posible ordenar el conocimiento de manera que los supuestos filosóficos, marcos analíticos y métodos puedan ser alineados. Para ello, utilizamos la tipología propuesta por Patrick Jackson como esquema organizacional de los debates en filosofía de la ciencia. Sobre esa base, proponemos una distribución de las teorías macro del análisis de políticas en correspondencia con las cuatro metodologías definidas en el esquema: neopositivismo, realismo, analiticismo y reflexivismo. El propósito del ejercicio es hacer que las propuestas teóricas que conforman el análisis de políticas sean más accesibles para los investigadores y, de esta forma, lograr que se destaquen los elementos de distinción y las implicaciones prácticas para las metodologías de investigación. Lo anterior permitirá visualizar los posibles caminos que consideramos que pueden conducir a realizar diseños de investigación más consistentes, coherentes y congruentes.
The use of hematological counts for the prevention, diagnosis and follow-up of hematological diseases has increased. Indeed, the correct operation of a clinical laboratory is essential to producing comparable results. However, there is a paucity of validation and reproducibility studies among the different existing methods for clinical analysis. Therefore, our aim was to assess the commutability of the results provided by analyzers with different measuring systems. Sixty venous blood samples were obtained from patients, without discriminating for age or sex. Then, an automated hematological analysis was performed using the Cell-Dyn Ruby and HumaCount 5L instruments. The variables measured were: RBC, Hb, HCT, MCV, MCH and MCHC. The data were compared by a one-way ANOVA and Pearson's correlation coefficient. Statistical significance was fixed at p < 0.05. There were no statistically significant differences for RBC, HCT, MCH or MCHC. In addition, with the exception of MCHC, all the analytes showed a good correlation coefficient between the two instruments. There is a variety of automated systems for the clinical laboratory and it is essential for the clinician to know the different methodologies used in hematological analyzers as well as their sensitivity and specificity. Therefore, our results are useful for demonstrating the importance of practical knowledge of the analyzers mentioned.
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