Rita Santos

Dr. Rita Santos


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 October 2021 in Health Economics, Policy and Law
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Journal Article
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ISIdaira Rodriguez Santana
Idaira Rodriguez Santana
AMAnne Mason
Anne Mason
NGNils Gutacker
Nils Gutacker
PKPanagiotis Kasteridis
Panagiotis Kasteridis
RSRita Santos
Rita Santos
NRNigel Rice
Nigel Rice
Effective policymaking in health care systems begins with a clear typology of the terminology – need, demand, supply and access to care – and their interrelationships. However, the terms are contested and their meaning is rarely stated explicitly. This paper offers working definitions of need, demand and supply. We draw on the international literature and use a Venn diagram to explain the terms. We then define access to care, reviewing alternative and competing definitions from the literature. We conclude by discussing potential applications of our conceptual framework to help to understand the interrelationships and trade-offs between need, demand, supply and access in health care.

1 February 2009 in Social Science & Medicine
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Journal Article
Closed access
Paula SantanaPaula Santana
Paula Santana
RSRita Santos
Rita Santos
HNHelena Guilhermina Da Silva Marques GSM Nogueira
Helena Guilhermina Da Silva Marques GSM Nogueira

23 February 2016 in The Economic Journal
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Journal Article
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RSRita Santos
Rita Santos
HGHugh Gravelle
Hugh Gravelle
CPCarol Propper
Carol Propper
Reforms giving users of public services choice of provider aim to improve quality. But such reforms will work only if quality affects choice of provid

22 May 2015 in International Journal of Behavioral Nutrition and Physical Activity
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Journal Article
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KBKylie Ball
Kylie Ball
KLKaren Lamb
Karen Lamb
Claudia CostaClaudia Costa
Claudia Costa
NCNicoleta Cutumisu
Nicoleta Cutumisu
AEAnne Ellaway
Anne Ellaway
Shannon ZenkShannon Zenk
Shannon Zenk
Low fruit and vegetable consumption is a risk factor for poor health. Studies have shown consumption varies across neighbourhoods, with lower intakes in disadvantaged neighbourhoods. However, findings are inconsistent, suggesting that socio-spatial inequities in diet could be context-specific, highlighting a need for international comparisons across contexts. This study examined variations in fruit and vegetable consumption among adults from neighbourhoods of varying socioeconomic status (SES) across seven countries (Australia, Canada, Netherlands, New Zealand, Portugal, Scotland, US). Data from seven existing studies, identified through literature searches and knowledge of co-authors, which collected measures of both neighbourhood-level SES and fruit and vegetable consumption were used. Logistic regression was used to examine associations between neighbourhood-level SES and binary fruit and vegetable consumption separately, adjusting for neighbourhood clustering and age, gender and education. As much as possible, variables were treated in a consistent manner in the analysis for each study to allow the identification of patterns of association within study and to examine differences in the associations across studies. Adjusted analyses showed evidence of an association between neighbourhood-level SES and fruit consumption in Canada, New Zealand and Scotland, with increased odds of greater fruit intake in higher SES neighbourhoods. In Australia, Canada, New Zealand and Portugal, those residing in higher SES neighbourhoods had increased odds of greater vegetable intake. The other studies showed no evidence of a difference by neighbourhood-level SES. Acknowledging discrepancies across studies in terms of sampling, measures, and definitions of neighbourhoods, this opportunistic study, which treated data in a consistent manner, suggests that associations between diet and neighbourhood-level socioeconomic status vary across countries. Neighbourhood socioeconomic disadvantage may differentially impact on access to resources in which produce is available in different countries. Neighbourhood environments have the potential to influence behaviour and further research is required to examine the context in which these associations arise.

1 November 2014 in Regional Science and Urban Economics
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Journal Article
Open access
HGHugh Gravelle
Hugh Gravelle
RSRita Santos
Rita Santos
LSLuigi Siciliani
Luigi Siciliani
We examine whether a hospital's quality is affected by the quality provided by other hospitals in the same market. We first sketch a theoretical model with regulated prices and derive conditions on demand and cost functions which determine whether a hospital will increase its quality if its rivals increase their quality. We then apply spatial econometric methods to a sample of English hospitals in 2009–10 and a set of 16 quality measures including mortality rates, readmission, revision and redo rates, and three patient reported indicators, to examine the relationship between the quality of hospitals. We find that a hospital's quality is positively associated with the quality of its rivals for seven out of the sixteen quality measures. There are no statistically significant negative associations. In those cases where there is a significant positive association, an increase in rivals' quality by 10% increases a hospital's quality by 1.7% to 2.9%. The finding suggests that for some quality measures a policy which improves the quality in one hospital will have positive spillover effects on the quality in other hospitals.

1 November 2018 in Social Science & Medicine
Verified
Journal Article
Open access
GMGiuseppe Moscelli
Giuseppe Moscelli
HGHugh Gravelle
Hugh Gravelle
LSLuigi Siciliani
Luigi Siciliani
RSRita Santos
Rita Santos
We examine whether the relaxation of constraints on patient choice of hospital in the English National Health Service in 2006 led to greater changes in mortality for hospitals which faced more rivals before the choice reform. We use patient level data from 2002 to 2010 for three high volume emergency conditions with high mortality risk: acute myocardial infarction (AMI) (288,279 patients), hip fracture (91,005 patients), stroke (214,103 patients). Since mortality risk varies by sub-diagnoses of AMI and stroke we include indicators for sub-diagnoses in the covariates. We also allow for the effect of covariates on mortality to differ before and after the 2006 choice reform. We find that the choice reform reduced mortality risk for hip fracture patients by 0.62% (95% CI: 1.22%, 0.01%), compared with the 2002/3-2010/11 mean of 3.5%, but had statistically insignificant negative effects for AMI and stroke. The reform also had heterogeneous effects across AMI and stroke sub-diagnoses, reducing mortality for 3% of AMI patients and 21% of stroke patients. The reduction in hip fracture mortality was greater for more deprived patients. Policies to increase competition and give patients greater choice are likely to have heterogeneous effects depending on details of patient case mix and market conditions.