[The impact of COVID-19 on surgical waiting lists.] / Impacto de la COVID-19 sobre las listas de espera quirúrgicas.

OBJECTIVE: In Spain, the number of persons that are in a surgery waiting list as well as the available surgery resources, differ across autonomous communities. The pandemic generated by COVID-19 has increased these waiting lists. In this study two objectives were pursued: on the one hand, to determine which are the resources that are determining the number of persons that are in a surgery waiting list per 1,000 inhabitants; on the other hand, to estimate the impact that the current pandemic has on the latter. METHODS: To estimate which are the resources that are having a greater impact on the waiting lists and to forecast the effect that the COVID-19 has on them, we use dynamic panel data models. The data on the surgery resources and on the waiting lists by autonomous communities is obtained from the Surveys on Health, Hospital Statistics and reports on waiting lists of the Ministry of Health, Consumption and Social Well Being and the Counsels. The sample period is 2012-2017 (last published year for surgery resources). In addition, a literature review is conducted and it shows the important and complexity of waiting list like a gestion tool of health system (Science, SciELO and Dialnet web data bases). RESULTS: COVID-19 will increase the waiting lists by approximately 7.6% to 19.14%, depending on the autonomous community. Not all the available surgery resources have the same relevance nor an equal effect on the reduction of the waiting lists. The most significant resources are the beds and operating rooms per 1,000 inhabitants. The hospital expenditure is not so relevant. CONCLUSIONS: The panel data models estimate the relation between the surgery resources and the waiting list. The latter is deemed complex and different across autonomous communities. In addition, these models allow to predict the expected increase in the waiting lists and are, thus, a useful instrument for their management.

OBJETIVO: En España, tanto el número de personas que están en espera de intervención quirúrgica, como los recursos quirúrgicos disponibles difieren entre comunidades autónomas. La pandemia ocasionada por la COVID-19 ha incrementado estas listas de espera. En este trabajo se persiguió un doble objetivo, por un lado, determinar cuáles son los recursos que tiene mayor influencia en el número de personas por mil habitantes que se encuentran en espera quirúrgica y, por otro, estimar el impacto que la pandemia actual ha generado. METODOS: Para estimar cuales son los recursos que más están repercutiendo en las listas de espera y predecir el efecto que la COVID-19 ejerce en ellas, utilizamos un modelo de datos de panel dinámico. Los datos de recursos quirúrgicos y listas de espera por comunidades autónomas se han obtenido de Encuestas de Salud, Estadísticas Hospitalarias e informes de listas de espera del Ministerio de Sanidad Consumo y Bienestar Social y de las Consejerías. El periodo muestral es 2012-2017 (último año publicado para recursos quirúrgicos). Además, se llevó a cabo una revisión de la literatura que permite corroborar la importancia y complejidad de las listas de espera como instrumento de gestión del sistema sanitario (bases de datos Web of Science, SciELO y Dialnet). RESULTADOS: La COVID-19 incrementará las listas de espera, aproximadamente entre el 7,6% y el 19,4%, dependiendo de la comunidad. No todos los recursos quirúrgicos disponibles tienen la misma importancia ni influyen de la misma manera en la reducción de las personas en espera. Los recursos más significativos son las camas y quirófanos por mil habitantes y no tanto el gasto en hospitales del Sistema Nacional de Salud. CONCLUSIONES: Los modelos de datos de panel permiten conocer la relación entre recursos quirúrgicos y lista de espera, la cual parece ser compleja y diferente entre comunidades. Además, estos modelos ayudan a predecir el incremento esperable y, por lo tanto, son un instrumento útil en la gestión de listas de espera.

The impact of the introduction of bilingual learning on sixth grade educational achievement levels.

Bilingualism was implemented in the Community of Madrid (Spain) more than ten years ago, through the incorporation of the English language in the teaching methods of certain schools. Since that time, various research projects have been carried out, with the objective of comparing the academic performance of students in bilingual schools with those in non-bilingual schools. The present paper makes use of primary education data from the Department of Education and Research for the Community of Madrid in an effort to analyze whether or not bilingualism results in the relative improvement of educational outcomes achieved in primary schools in the Region of Madrid, in Spain. More specifically, the data used is from sixth grade classrooms, given that, generally speaking, in this grade all schools give a standardized test which measures academic performance in Math, Science and Technology, Spanish Language Arts and English Language Arts. Our assessment makes use of a multinomial logit model, and includes the most common variables found in the research on the determination of educational outcomes (variables related to whether or not schools are bilingual, which is the main focus of this paper), as well as other less common variables considered to be relevant. These include absenteeism, satisfaction levels among families and students, and the percentage of students in second chance programs. The results show that bilingualism does not lower children performance in the subjects taught in English or in the subjects taught in Spanish. Academic performance in Mathematics, Science and Technology, and Spanish Language Arts is similar with respect to those schools which are not bilingual. However, results in English are significantly higher in bilingual schools when compared to non-bilingual schools.