AMAZONIA CAMTRAP: A data set of mammal, bird, and reptile species recorded with camera traps in the Amazon forest.

The Amazon forest has the highest biodiversity on Earth. However, information on Amazonian vertebrate diversity is still deficient and scattered across the published, peer-reviewed, and gray literature and in unpublished raw data. Camera traps are an effective non-invasive method of surveying vertebrates, applicable to different scales of time and space. In this study, we organized and standardized camera trap records from different Amazon regions to compile the most extensive data set of inventories of mammal, bird, and reptile species ever assembled for the area. The complete data set comprises 154,123 records of 317 species (185 birds, 119 mammals, and 13 reptiles) gathered from surveys from the Amazonian portion of eight countries (Brazil, Bolivia, Colombia, Ecuador, French Guiana, Peru, Suriname, and Venezuela). The most frequently recorded species per taxa were: mammals: Cuniculus paca (11,907 records); birds: Pauxi tuberosa (3713 records); and reptiles: Tupinambis teguixin (716 records). The information detailed in this data paper opens up opportunities for new ecological studies at different spatial and temporal scales, allowing for a more accurate evaluation of the effects of habitat loss, fragmentation, climate change, and other human-mediated defaunation processes in one of the most important and threatened tropical environments in the world. The data set is not copyright restricted; please cite this data paper when using its data in publications and we also request that researchers and educators inform us of how they are using these data.

[Interobserver agreement in using a checklist for the safe administration of enteral nutrition]. / Concordancia entre observadores en la aplicación de la lista de verificación para la administración segura de la nutrición enteral.

INTRODUCTION: Objective: to describe an evaluation of interobserver agreement in the use of a checklist related to the use of nasoenteral tube (NSS) as a presupposition for quality in obtaining data. Method: a methodological study conducted in 2018 in a Brazilian hospital, preceding the data collection of an open-label clinical trial. Independent observers, blinded to the evaluation of their peers, evaluated patients with NSS through a 25-item checklist. The data collected by eight previously trained research assistants (RA) were compared to those obtained by an experienced nurse (reference standard). Agreement was measured using the kappa coefficient and PABAK. Results: a total of 451 observations were made in pairs. Considering the total items on the checklist there was almost perfect agreement (k > 0.80) in all observation pairs (nurse vs. each RA): RA 1 (k = 0.91; 95 % CI = 0.89-0.93); RA 2 (k = 0.83; 95 % CI = 0.80-0.85); RA 3 (k = 0.92; 95 % CI = 0.90-0.94); RA 4 (k = 0.83; 95 % CI = 0.80-0.86); RA 5 (k = 0.94; 95 % CI = 0.92-0.96); RA 6 (k = 0.94; 95 % CI = 0.92-0.96); RA 7 (k = 0.96; 95 % CI = 0.95-0.98); RA 8 (k = 0.73; 95 % CI = 0.70-0.77). However, for isolated items, and in specific RAs, there were fair agreements, unacceptable to effectively collect data from a clinical trial. Retraining and supervision of RAs were able to improve agreement between observers. Conclusion: an evaluation of interobserver agreement proved to be fundamental to ensure the reliability of data collection and, therefore, to avoid measurement biases.

INTRODUCCIÓN: Objetivo: describir una evaluación de la concordancia entre observadores en el uso de una lista de verificación en la atención a pacientes con sonda nasoenteral (SNE) como premisa de la recogida de datos. Método: este estudio de fiabilidad se realizó en 2018 en un hospital brasileño, antes de la recogida de datos para un ensayo clínico abierto. Ocho observadores independientes, previamente capacitados y "cegados" con respecto a las evaluaciones de los demás, evaluaron a pacientes con SNE por medio de una lista de comprobación de 25 elementos. Los datos obtenidos por estos asistentes de investigación (AI) se compararon con los obtenidos por una enfermera experimentada. Se midió la concordancia mediante los coeficientes kappa y PABAK. Resultados: se realizaron 451 observaciones por pares. Considerando la totalidad de los elementos, hubo una concordancia casi perfecta (k > 0,80) en todos los pares de observación (enfermera vs. cada AI): AI 1 (k = 0,91; IC95 % = 0,89-0,93); AI 2 (k = 0,83; IC95 % = 0,80-0,85); AI 3 (k = 0,92; IC95 %= 0,90-0,94 ); AI 4 (k = 0,83; IC95 % = 0,80-0,86); AI 5 (k = 0,94; IC95 % = 0,92-0,96); AI 6 (k = 0,94; IC95 % = 0,92-0,96); AI 7 (k = 0,96; IC95 % = 0,95-0,98); AI 8 (k = 0,73; IC95 % = 0,70-0,77). Se identificó un menor número de concordancia en los elementos individuales y en determinados AI. La recapacitación y supervisión de los AI mejoró su desempeño y la concordancia entre observadores. Conclusión: la evaluación de la concordancia entre observadores resultó fundamental para asegurar la fiabilidad de la recogida de datos y, por consiguiente, evitar sesgos de medición en los estudios clínicos de enfermería.