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X Demographics
Mendeley readers
| Title |
Análisis multinivel de la eficiencia técnica de los hospitales del Sistema Nacional de Salud español por tipo de propiedad y gestión
|
|---|---|
| Published in |
Gaceta Sanitaria, July 2019
|
| DOI | 10.1016/j.gaceta.2018.02.005 |
| Pubmed ID | |
| Authors |
Carmen Pérez-Romero, M. Isabel Ortega-Díaz, Ricardo Ocaña-Riola, José Jesús Martín-Martín |
| Abstract |
To analyze technical efficiency by type of property and management of general hospitals in the Spanish National Health System (2010-2012) and identify hospital and regional explanatory variables. 230 hospitals were analyzed combining data envelopment analysis and fixed effects multilevel linear models. Data envelopment analysis measured overall, technical and scale efficiency, and the analysis of explanatory factors was performed using multilevel models. The average rate of overall technical efficiency of hospitals without legal personality is lower than hospitals with legal personality (0.691 and 0.876 in 2012). There is a significant variability in efficiency under variable returns (TE) by direct, indirect and mixed forms of management. The 29% of the variability in TE es attributable to the Region. Legal personality increased the TE of the hospitals by 11.14 points. On the other hand, most of the forms of management (different to those of the traditional hospitals) increased TE in varying percentages. At regional level, according to the model considered, insularity and average annual income per household are explanatory variables of TE. Having legal personality favours technical efficiency. The regulatory and management framework of hospitals, more than public or private ownership, seem to explain technical efficiency. Regional characteristics explain the variability in TE. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 18% |
| Student > Bachelor | 5 | 8% |
| Lecturer | 4 | 7% |
| Other | 3 | 5% |
| Researcher | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 29 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 11 | 18% |
| Medicine and Dentistry | 7 | 11% |
| Nursing and Health Professions | 5 | 8% |
| Economics, Econometrics and Finance | 4 | 7% |
| Engineering | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 28 | 46% |