Construction and Evolution of a Multidimensional Well-Being Index for the Spanish Regions

Jurado, Á.; Mayo, Jesús Pérez

doi:10.1007/s11205-011-9835-4

Cited by 32 publications

(11 citation statements)

References 13 publications

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“…Recent examples are [18] for Italy, [19] for Estonia, and [20] for the Czech Republic. As for Spain, [21][22][23][24][25][26][27][28], have done so for different territories of the country. More recently, González et al [12] and Cárcaba et al [29] have tracked the evolution of municipal QoL in Spain between 2001 and 2011.…”

Section: Quality Of Life (Qol) As a Measure Of Social Progress In Munmentioning

confidence: 99%

How Does Good Governance Relate to Quality of Life?

et al. 2017

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This paper explores the relationship between the practices of good governance and the quality of life at the municipal level in Spain. A composite indicator of the quality of life of 393 Spanish municipalities in 2011 is estimated using varied statistical information. For this purpose, we follow a benefit of the doubt approach based on Data Envelopment Analysis. Then three dimensions of good governance are considered: transparency, participation, and accountability. The results show a significant positive relationship between quality of life and participation and financial accountability. However, transparency seems to be unrelated to quality of life.

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Section: Quality Of Life (Qol) As a Measure Of Social Progress In Munmentioning

confidence: 99%

How Does Good Governance Relate to Quality of Life?

et al. 2017

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“…30,32,33 The proportion between level 2 and 3 items (n 5 108) and centers (n 5 7) limited the use of regression or factor analysis to identify significant items, as expected. Although alternative approaches for the establishment of priorities and weights for composite indicators have been published, 34,35 addressing the above-mentioned controversy was beyond the scope of his study. Therefore, items were selected by 2 investigators (P.F.…”

Section: Correlations and Development Of The Pilot Performance Indexmentioning

confidence: 99%

Barriers to effective treatment of pediatric solid tumors in middle‐income countries: Can we make sense of the spectrum of nonbiologic factors that influence outcomes?

Friedrich

Ortiz²,

Fuentes

et al. 2013

Cancer

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Background Delivery of effective treatment for pediatric solid tumors poses a particular challenge to centers in middle-income countries (MIC) already vigorously addressing pediatric cancer. This study aimed to improve our understanding of barriers to effective treatment of pediatric solid tumors in MICs. Methods An ecological model centering in pediatric sarcoma and expanding to country as the environment were used as benchmark for studying delivery of solid tumor care in MICs. Data on resources was gathered from seven centers members of the Central American Association of Pediatric Hematologists and Oncologists (AHOPCA) using an infrastructure assessment tool. Pediatric sarcoma outcomes data was available and retrieved from hospital-based cancer registries for six of the seven centers and analyzed by country. Patients diagnosed from 1/1/2000-12/31/2009 with osteosarcoma, Ewing sarcoma, rhabdomyosarcoma, and other soft tissue sarcomas were included in the analysis. In order to explore correlations between resources and outcomes a pilot performance-index was created. Findings Results identified specific human resources, communication, quality and infrastructure deficits. Treatment abandonment rate, metastatic disease at diagnosis, relapse rate and 4-year abandonment-sensitive overall survival (AOS) varied considerably by country (1-38%, 15-54%, 24-52%, 21-51%, respectively). Treatment abandonment rate correlated inversely with health economic expenditure per capita (r= −0.86, p=0.03) and life expectancy at birth (r = −0.93, p=0.007). Four-year AOS correlated inversely with under-5 mortality rate (r= −0.80, p=0.05) and directly with the pilot performance-index (r =0.98, p=0.005). Interpretation Initiatives to improve treatment effectiveness of pediatric solid tumor care in MIC and pediatric sarcoma in particular are warranted. Building capacity and infrastructure, improving supportive care and communication, and fostering comprehensive multidisciplinary teams are identified as keystones in Central America. A measure that meaningfully describes performance in delivering pediatric cancer care is feasible and needed to advance comparative prospective analysis of pediatric cancer care and define resource-clusters internationally.

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“…The regional ranking obtained after computing inequality of opportunities and inter-generational transmission of poverty is rather in line with the ones that come from other variables like income inequality, poverty rates, GDP per capita, unemployment rates or even some indices of well-being or quality of life proposed in Spain respectively (Chasco, 2014;Jurado & Perez-Mayo, 2012). Inequality of opportunities is analysed in this paper by including the spatial dimension in Spain.…”

Section: Datamentioning

confidence: 79%

Inequality of opportunity, a matter of space?

Mayo

2019

Regional Science Policy & Practice

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Inequality has become a very important issue in developed countries in the last decades. Among the different definitions of inequality, inequality of opportunity stands out as one of the main topics. At what extent are personal circumstances out of control the root of unequal outcomes? Space, defined as the place where people live, can constrain the set of opportunities that people face or, even, people with the same personal circumstances, excepting region, and the same set of opportunities can obtain very different outcomes depending on the region. This issue is measured in Spain by using the 2011 EU‐SILC microdata.

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Construction and Evolution of a Multidimensional Well-Being Index for the Spanish Regions

Cited by 32 publications

References 13 publications

How Does Good Governance Relate to Quality of Life?

How Does Good Governance Relate to Quality of Life?

Barriers to effective treatment of pediatric solid tumors in middle‐income countries: Can we make sense of the spectrum of nonbiologic factors that influence outcomes?

Inequality of opportunity, a matter of space?

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