Are bad health and pain making us grumpy? An empirical evaluation of reporting heterogeneity in rating health system responsiveness

This paper considers the influence of patients’ characteristics on their evaluation of a health system’s responsiveness, that is, a system’s ability to respond to the legitimate expectations of potential users regarding non-health enhancing aspects of care (Valentine et al. 2003a). Since responsiveness is evaluated by patients on a categorical scale, their selfevaluation can be affected by the phenomenon of reporting heterogeneity (Rice et al. 2012). A few studies have investigated how standard socio-demographic characteristics influence the reporting style of health care users with regard to the question of the health system’s responsiveness (Sirven et al. 2012, Rice et al. 2012). However, we are not aware of any studies that focus explicitly on the influence that both the patients’ state of health and their experiencing of pain have on the way in which they report on system responsiveness. This paper tries to bridge this gap by using data regarding a sample of patients hospitalized in four Local Health Authorities (LHA) in Italy’s Emilia-Romagna region between 2010 and 2012. These patients have evaluated 27 different aspects of the quality of care, concerning five domains of responsiveness (communication, social support, privacy, dignity and quality of facilities). Data have been stratified into five sub-samples, according to these domains. We estimate a generalized ordered probit model (Terza, 1985), an extension of the standard ordered probit model which permits the reporting behaviour of respondents to be modelled as a function of certain respondents’ characteristics, which in our analysis are represented by the variables “state of health” and “pain”. Our results suggest that unhealthier patients are more likely to report a lower level of responsiveness, all other things being equal, while patients experiencing pain are more likely to make use of the extreme categories of responsiveness, that is, to choose the category “completely dissatisfied” or the category “completely satisfied”. These results hold across all five domains of responsiveness

La responsiveness dei sistemi sanitari: un’analisi empirica sull’assistenza ospedaliera nel Servizio Sanitario Regionale dell’Emilia Romagna

The release of the World Health Report 2000 has brought to the fore the concept of responsiveness as an indicator of health system performance. Responsiveness relates to a system’s ability to respond to the legitimate expectations of potential users about non-health enhancing aspects of care (Valentine et al. 2003). A few studies have investigated how standard socio-demographic characteristics (such as income or education) have an influence on the evaluation of responsiveness by health care users (Puentes Rosas et al. 2006, Sirven et al. 2012, Rice et al. 2012). However, we are not aware of any study investigating the relationship between the frequency with which patients use health services and their evaluation of responsiveness. This paper narrows this gap by using data regarding a sample of patients hospitalized in 9 hospitals of Emilia Romagna, a Region of Italy. The data have been collected by the Agency for Health Care and Social Services of Emilia Romagna between January 2010 and December 2012. We investigate a representative sample of about 2500 in-patients, who have been asked to evaluate 29 different aspect of quality of care which refer to 6 domains of health system responsiveness (communication, social support, privacy, dignity, waiting times and quality of facilities). We make use of this structure of the data by adopting a panel data regression model. The adoption of a panel model helps in controlling for individual heterogeneity, which otherwise could bias our results. Given that responsiveness is evaluated on an ordinal and categorical scale (going from “very dissatisfied” to “very satisfied”) we estimate a panel ordered logit model. Our results suggest that if patients have already been hospitalized in the same ward over the last 5 years they evaluate responsiveness more positively compared to patients who have never been hospitalized before. However, this effect is statistically significant only if patients have been hospitalized in the last 6 months. More generally, the use of a proper methodology to investigate responsiveness at hospital level can allow a better identification of area of intervention for investments in staff training; moreover, it can allow to modify hospital characteristics which have a negative impact on patients’ reporting of responsiveness

Essays in Applied Health Economics: Evidence on Health and Health Care in Italy and UK

This thesis is the result of my experience as a PhD student taking part in the Joint Doctoral Programme at the University of York and the University of Bologna. In my thesis I deal with topics that are of particular interest in Italy and in Great Britain. Chapter 2 focuses on the empirical test of the existence of the relationship between technological profiles and market structure claimed by Sutton’s theory (1991, 1998) in the specific economic framework of hospital care services provided by the Italian National Health Service (NHS). In order to test the empirical predictions by Sutton, we identify the relevant markets for hospital care services in Italy in terms of both product and geographic dimensions. In particular, the Elzinga and Hogarty (1978) approach has been applied to data on patients’ flows across Italian Provinces in order to derive the geographic dimension of each market. Our results provide evidence in favour of the empirical predictions of Sutton. Chapter 3 deals with the patient mobility in the Italian NHS. To analyse the determinants of patient mobility across Local Health Authorities, we estimate gravity equations in multiplicative form using a Poisson pseudo maximum likelihood method, as proposed by Santos-Silva and Tenreyro (2006). In particular, we focus on the scale effect played by the size of the pool of enrolees. In most of the cases our results are consistent with the predictions of the gravity model. Chapter 4 considers the effects of contractual and working conditions on selfassessed health and psychological well-being (derived from the General Health Questionnaire) using the British Household Panel Survey (BHPS). We consider two branches of the literature. One suggests that “atypical” contractual conditions have a significant impact on health while the other suggests that health is damaged by adverse working conditions. The main objective of our paper is to combine the two branches of the literature to assess the distinct effects of contractual and working conditions on health. The results suggest that both sets of conditions have some influence on health and psychological well-being of employees

Job anxiety, work-related psychological illness and workplace performance

This paper uses matched employee-employer data from the British Workplace Employment Relations Survey (WERS) to examine the relationship between employee psychological health and workplace performance in 2004 and 2011. Using two measures of work-related psychological health – namely employee-reported job anxiety and manager-reported workforce stress, depression and anxiety – we find a positive relationship between psychological ill-health and absence, but not quits. The association between psychological ill-health and labour productivity is less clear, with estimates sensitive to sector, time period and the measure of psychological health. The 2004-2011 panel is further used to explore the extent to which change in psychological health is related to change in performance

Inequality and polarisation in health systems’ responsiveness: a cross-country analysis

The World Health Report 2000 proposed three fundamental goals for health systems encompassing population health, health care finance and health systems responsiveness. The goals incorporate both an efficiency and equity dimension. While inequalities in population health and health care finance have motivated two important strands of research, inequalities in responsiveness have received less attention in health economics. This paper examines inequality and polarisation in responsiveness, bridging this gap in the literature and contributing towards an integrated analysis of health systems performance. It uses data from the World Health Survey to measure and compare inequalities in responsiveness across 25 European countries. In order to respect the inherently ordinal nature of the responsiveness data, median-based measures of inequality and polarisation are employed. The results suggest that, in the face of wide differences in the health systems analysed, there exists large variability in inequality in responsiveness across countries

A macroscopic particle modelling approach for non-isothermal solid-gas and solid-liquid flows through porous media

© 2019 Elsevier Ltd The complexity of multiphase flows in many engineering systems such as heat exchangers signify the need to develop new and advanced numerical models to analyse the interactions the working fluid and unwanted solid foulants. Fouling is present in a myriad of industrial and domestic processes and it has a negative impact on the economy and the environment. The mechanisms that govern non-isothermal solid-fluid flow through porous metal foam heat exchangers are complex and poorly understood. In this research, a coupled finite volume method (FVM) and macroscopic particle model (MPM) is developed and implemented in ANSYS Fluent to examine the transient evolution of a non-isothermal multiphase solid-fluid flow and the interaction between coupled interactions of solid particles, fluid, and porous media. The maximum particle temperature is dependent on the fluid and solid particle thermo-physical properties in addition to the temperature of the cylindrical ligaments of the porous media. The present results show that the smallest solid particles reach the highest temperatures in the porous heat exchanger and at low inlet velocities, the highest particle temperatures are realized. The results pertaining to maximum particle temperatures are prevalent in many industrial processes and acquiring knowledge of the maximum particle temperature serves as a steppingstone for comprehending complex multiphase solid-fluid flows such as the cohesiveness between the particles and the particle adhesion with the walls. The results of these studies could potentially be used in the future to optimize metal foam heat exchanger designs

Disparities in work, risk and health between immigrants and native-born Spaniards

We analyse the impact of working and contractual conditions, particularly exposure to job risks, on the probability of acquiring a permanent disability, controlling for other personal and firm characteristics. We postulate a model in which this impact is mediated by the choice of occupation, with a level of risk associated with it. We assume this choice is endogenous, and that it depends on preferences and opportunities in the labour market, both of which may differ between immigrants and natives. To test this hypothesis we apply a bivariate probit model to data for 2006 from the Continuous Sample of Working Lives provided by the Spanish Social Security system, containing records for over a million workers. We find that risk exposure increases the probability of permanent disability- arising from any cause - by almost 5%

Freedom of choice and health services’ performance: Evidence from a national health system

Public policies fostering the freedom of choice of provider in the healthcare sector are increasingly common in many countries and regions, where policymakers wish to empower patients and improve health service performance. However, in the literature there is not clear consensus about the impact of expanded patient choice on healthcare quality yet. This study investigates whether increasing patients' freedom of choice influences health system outcomes in terms of various non-clinical aspects of care, a dimension often overlooked by researchers in this field. Our study considers a “natural experiment” that took place within the Spanish National Health System in 2009 under which citizens of the Community (region) of Madrid were allowed to freely choose among any GP and/or specialist in their region. The empirical analysis was conducted by using Spanish microdata for the period 2002–2016 and used synthetic control estimation techniques. The key findings show the reform had a strong and long-lasting impact, reducing average waiting times and increasing patients' satisfaction with the specialist attention received. We did not detect any statistically significant impact of the reform on the other responsiveness domains analysed. Our analysis shows that freedom of choice policies could improve health system performance if they are combined with appropriate economic incentives for health providers

What is health systems responsiveness? Review of existing knowledge and proposed conceptual framework

Responsiveness is a key objective of national health systems. Responsive health systems anticipate and adapt to existing and future health needs, thus contributing to better health outcomes. Of all the health systems objectives, responsiveness is the least studied, which perhaps reflects lack of comprehensive frameworks that go beyond the normative characteristics of responsive services. This paper contributes to a growing, yet limited, knowledge on this topic. Herewith, we review the current frameworks for understanding health systems responsiveness and drawing on these, as well as key frameworks from the wider public services literature, propose a comprehensive conceptual framework for health systems responsiveness. This paper should be of interest to different stakeholders who are engaged in analysing and improving health systems responsiveness. Our review shows that existing knowledge on health systems responsiveness can be extended along the three areas. First, responsiveness entails an actual experience of people’s interaction with their health system, which confirms or disconfirms their initial expectations of the system. Second, the experience of interaction is shaped by both the people and the health systems sides of this interaction. Third, different influences shape people’s interaction with their health system, ultimately affecting their resultant experiences. Therefore, recognition of both people and health systems sides of interaction and their key determinants would enhance the conceptualisations of responsiveness. Our proposed framework builds on, and advances, the core frameworks in the health systems literature. It positions the experience of interaction between people and health system as the centrepiece and recognises the determinants of responsiveness experience both from the health systems (eg, actors, processes) and the people (eg, initial expectations) sides. While we hope to trigger further thinking on the conceptualisation of health system responsiveness, the proposed framework can guide assessments of, and interventions to strengthen, health systems responsiveness