Anita Mariana Bunea
Biographic Data
| ID | 7144601 |
|---|---|
| NAME | Anita Mariana Bunea |
| GIVEN NAMES | Anita Mariana |
| FAMILY NAME | Bunea |
| SIGNATURE | BUNEA A M |
| AFFILIATIONS | Scuola Superiore Sant'Anna |
| ORCID | 0000-0002-8434-6214 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
What Counts in Nursing Homes’ Quality and Efficiency? Results From Data Envelopment Analysis in Italy
Results find 35% efficient NHs. Moreover, management and the managerial factor (staff trained in end-of-life support) are predictors of the efficiency score.Originality: Our study uses satisfaction (residents, relatives and professionals) measures as proxy for quality output in the DEA model and measures related to staff management (eg training) as predictors of the efficiency scores
What do adoption patterns of solar panels observed so far tell about governments’ incentive? Insights from diffusion models
Interventions addressing health inequalities in European regions
Disparities in health between social groups have been documented all over Europe. We summarize the methods and results of the Addressing Inequalities in Regions (AIR) project, which identified illustrative interventions and policies developed in European regions to reduce inequalities at the primary health care level. The first phase was a systematic review of the published literature. The second phase was a survey of European regions, collecting…
No prominent works on this page.
Interventions addressing health inequalities in European regions
Disparities in health between social groups have been documented all over Europe. We summarize the methods and results of the Addressing Inequalities in Regions (AIR) project, which identified illustrative interventions and policies developed in European regions to reduce inequalities at the primary health care level. The first phase was a systematic review of the published literature. The second phase was a survey of European regions, collecting…
What do adoption patterns of solar panels observed so far tell about governments’ incentive? Insights from diffusion models
What Counts in Nursing Homes’ Quality and Efficiency? Results From Data Envelopment Analysis in Italy
Results find 35% efficient NHs. Moreover, management and the managerial factor (staff trained in end-of-life support) are predictors of the efficiency score.Originality: Our study uses satisfaction (residents, relatives and professionals) measures as proxy for quality output in the DEA model and measures related to staff management (eg training) as predictors of the efficiency scores
Business (2 works) · Economic growth (2 works) · Economics (2 works) · Health care (2 works) · Medicine (2 works) · Nursing (2 works) · Chronic Disease Management Strategies (1 work) · Data envelopment analysis (1 work) · Diffusion (1 work) · Ecology (1 work)