Assessing efficiency of public health and medical care provision in OECD countries after a decade of reform

The objective of this study was to examine the change in efficiency of health care systems of 34 OECD countries between 2000 and 2012, a period marked by significant health reform in most OECD countries. This paper uses a novel Dynamic Network Data Envelopment Analysis (DNDEA) model to analyze the efficiency of the public health system and the medical care system of these OECD countries independently along with assessing the efficiency of their overall health system. This helps understand the relative priorities for improving the overall health system. The data for this study was obtained from the OECD Health Facts database. The study findings suggest that countries which improved their public health system were more likely to show overall improvement in efficiency

The Role Of Local Authorities In Health Issues: A Policy Document Analysis

Prior to the passing of the Health and Social Care Act 2012 the Communities and Local Government (CLG) Select Committee conducted an investigation into the proposed changes to the Public Health System in England. The Committee considered 40 written submissions and heard oral evidence from 26 expert witnesses. Their report, which included complete transcripts of both oral and written submissions, provided a rich and informed data on which to base an analysis of the proposed new public health system. This report analyses the main themes that emerged from the evidence submissions and forms part of our preliminary work for PRUComm’s PHOENIX project examining the development of the new public health system

PHOENIX: Public Health and Obesity in England – the New Infrastructure eXamined First interim report: the scoping review

The PHOENIX project aims to examine the impact of structural changes to the health and care system in England on the functioning of the public health system, and on the approaches taken to improving the public’s health. The scoping review has now been completed. During this phase we analysed: Department of Health policy documents (2010-2013), as well as responses to those documents from a range of stakeholders; data from 22 semi-structured interviews with key informants; and the oral and written evidence presented at the House of Commons Communities and Local Government Committee on the role of local authorities in health issues. We also gathered data from local authority (LA) and Health and Wellbeing Board (HWB) websites and other sources to start to develop a picture of how the new structures are developing, and to collate demographic and other data on local authorities. A number of important themes were identified and explored during this phase. In summary, some key points related to three themes - governance, relationships and new ways of working - were: The reforms have had a profound effect on leadership within the public health system. Whilst LAs are now the local leaders for public health, in a more fragmented system, leadership for public health appears to be more dispersed amongst a range of organisations and a range of people within the LA. At national level, the leadership role is complex and not yet developed (from a local perspective). Accountability mechanisms have changed dramatically within public health, and many people still seem to be unclear about them. Some performance management mechanisms have disappeared, and much accountability now appears to rely on transparency and the democratic accountability that this would (theoretically) enable. The extent to which ‘system leaders’ within PHE are able to influence local decisions and performance will depend on the strength of relationships principally between the LA and the local Public Health England centre. These relationships will take time to develop. Many people have faced new ways of working, in new settings, and with new relationships to build. Public health teams in LAs have faced the most profound of these changes, having gone from a position of ‘expert voice’ to a position where they must defend their opinions and activities in the context of competing demands and severely restricted resources. Public health staff may require new skills, and may need to seek new ‘allies’ to thrive in the new environment. HWBs could be crucial in bringing together a fragmented system and dispersed leadership. The next phase of data collection will begin in March with the initiation of case study work. National surveys will be conducted in June/July this year (2014), and at the same time the following year. In this work, we will further explore the following themes: relationships, governance, decision making, new ways of working, and opportunities and difficulties

International Profiles of Health Care Systems, 2011

This publication presents overviews of the health care systems of Australia, Canada, Denmark, England, France, Germany, Japan, Italy, the Netherlands, New Zealand, Norway, Sweden, Switzerland, and the United States. Each overview covers health insurance, public and private financing, health system organization, quality of care, health disparities, efficiency and integration, use of health information technology, use of evidence-based practice, cost containment, and recent reforms and innovations. In addition, summary tables provide data on a number of key health system characteristics and performance indicators, including overall health care spending, hospital spending and utilization, health care access, patient safety, care coordination, chronic care management, disease prevention, capacity for quality improvement, and public views

Modelling the Dynamics of a Public Health Care System: Evidence from Time-Series Data

The English National Health Service was established in 1948, and has therefore yielded some long time series data on health system performance. Waiting times for inpatient care have been a persistent cause of policy concern since the creation of the NHS. This paper develops a theoretical model of the dynamic interaction between key indicators of health system performance. It then investigates empirically the relationship between hospital activity, waiting times and population characteristics using aggregate time-series data for the NHS over the period 1952-2005. Structural Vector Auto-Regression suggests that in the long run: a) higher activity is associated with lower waiting times (elasticity = -0.9%); b) a higher proportion of old population is associated with higher waiting times (elasticity = 1.6%). In the short run, higher lagged waiting time leads to higher activity (elasticity = 0.2%). We also find that shocks in waiting times are countered by higher activity, so the effect is only temporary, while shocks in activity have a permanent effect. We conclude that policies to reduce waiting times should focus on initiatives that increase hospital activity.Waiting times, Dynamics, Vector Auto-Regression.

Post-graduate medical education in public health: The case of Italy and a call for action

Public health technical expertise is of crucial importance to inform decision makers\u2019 action in the field of health and its broader determinants. Improving education and training of public health professionals for both practice and research is the starting point to strengthen the role of public health so that current health challenges can be efficiently tackled. At the Association of Schools of Public Health in the European Region (ASPHER) Deans\u2019 & Directors\u2019 2017 Annual Retreat, we presented the structure and management of public health training system in Italy, and we reported recent data on Italian public health specialists\u2019 educational experience, employment opportunities and job satisfaction. Public health training in Italy is implemented in the context of the post-graduate medical education residency programme in Hygiene and Preventive Medicine, delivered by 34 University-based Schools of Public Health. We report relatively high employment rates across the county and wide spectrum of career opportunities for young public health specialists. However, job security is low and training expectations only partially met. We call upon other Schools of Public Health to scale up the survey within the broad ASPHER community in a shared and coordinated action of systematically collecting useful data that can inform the development of public health education and training models, their implementation and fruitful interaction with population health, health systems and services

International Profiles of Health Care Systems, 2012

This publication presents overviews of the health care systems of Australia, Canada, Denmark, England, France, Germany, Japan, Iceland, Italy, the Netherlands, New Zealand, Norway, Sweden, Switzerland, and the United States. Each overview covers health insurance, public and private financing, health system organization, quality of care, health disparities, efficiency and integration, care coordination, use of health information technology, use of evidence-based practice, cost containment, and recent reforms and innovations. In addition, summary tables provide data on a number of key health system characteristics and performance indicators, including overall health care spending, hospital spending and utilization, health care access, patient safety, care coordination, chronic care management, disease prevention, capacity for quality improvement, and public views

Modelling the Dynamics of a Public Health Care System: Evidence from Time-Series Data

The English National Health Service was established in 1948, and has therefore yielded some long time series data on health system performance. Waiting times for inpatient care have been a persistent cause of policy concern since the creation of the NHS. This paper develops a theoretical model of the dynamic interaction between key indicators of health system performance. It then investigates empirically the relationship between hospital activity, waiting times and population characteristics using aggregate time-series data for the NHS over the period 1952— 2005. Structural Vector Auto-Regression suggests that in the long run: a) higher activity is associated with lower waiting times (elasticity = -0.9%); b) a higher proportion of old population is associated with higher waiting times (elasticity = 1.6%). In the short run, higher lagged waiting time leads to higher activity (elasticity = 0.2%). We also find that shocks in waiting times are countered by higher activity, so the effect is only temporary, while shocks in activity have a permanent effect. We conclude that policies to reduce waiting times should focus on initiatives that increase hospital activity.Waiting Times, Dynamics, Vector Auto-Regression