Stress Perception in Public Organizations: Expanding the Job Demands - Job Resources Model by Including Public Service Motivation

Although stress has been a longstanding issue in organizations and management studies, it has never been studied in relation to Public Service Motivation. This article therefore aims to integrate PSM into the job demands-job resources model of stress in order to determine whether PSM might contribute to stress in public organizations. Drawing upon original data from a questionnaire in a Swiss municipality, this study unsurprisingly shows that "red tape" is an antecedent of stress perception, whereas satisfaction with organizational support, positive feedback, and recognition significantly decrease the level of perceived stress. Astonishingly, the empirical results show that PSM is positively and significantly related to stress perception. By increasing individuals' expectations towards their jobs, PSM might thus contribute to increased pressure on public agents. Ultimately, this article investigates the "dark side" of PSM, which has been neglected by the literature thus far.

The link between public support and private R&D effort: What is the optimal subsidy?

The effectiveness of R&D subsidies can vary substantially depending on their characteristics. Specifically, the amount and intensity of such subsidies are crucial issues in the design of public schemes supporting private R&D. Public agencies determine the intensities of R&D subsidies for firms in line with their eligibility criteria, although assessing the effects of R&D projects accurately is far from straightforward. The main aim of this paper is to examine whether there is an optimal intensity for R&D subsidies through an analysis of their impact on private R&D effort. We examine the decisions of a public agency to grant subsidies taking into account not only the characteristics of the firms but also, as few previous studies have done to date, those of the R&D projects. In determining the optimal subsidy we use both parametric and nonparametric techniques. The results show a non-linear relationship between the percentage of subsidy received and the firms’ R&D effort. These results have implications for technology policy, particularly for the design of R&D subsidies that ensure enhanced effectiveness.

Renoncement aux soins: comment appréhender cette réalité en médecine de premier recours [Patients forgoing health care for economic reasons: how to identify this in a primary care setting?].

Although the performance of the Swiss health system is high, one out of ten patients in general practitioner's (GP) office declares having foregone care in the previous twelve months for economic reasons. Reasons for foregoing care are several and include a lack of knowledge of existing social aids in getting health insurance, unavailability of GPs and long waiting lists for various types of care. Although long term knowledge of patients or a psychosocial history of deprivation or poverty may help identify individuals at risk of foregoing care, many may remain undetected. We propose then a few instruments to help GPs to identify, in a simple and structured approach, patients at risk of forgoing care for economic reasons; these patients are frequently deprived and sometimes poor.

Community Education Needs to be Supported by Strong Public Policy to Tackle Food Poverty

Community education needs to be supported by strong public policy if it is to be fully effective at tackling food poverty and obesity, a project evaluation by the Institute of Public Health in Ireland (IPH) has found. In its evaluation of Decent Food for All (DFfA) - a major project to improve community diet and health - IPH found that where people live and shop had a greater impact on their diet than their own individual awareness and attitudes. Access Tackling Food Poverty: lessons from the Decent Food for All intervention at www.publichealth.ie DFfA was funded by safefood (the Food Safety Promotion Board) and the Food Standards Agency Northern Ireland. The project lasted four years and included hundreds of community education activities designed to improve diet in poorer parts of Armagh and South Tyrone. safefood commissioned IPH to undertake the evaluation of DFfA. Dr. Kevin Balanda, IPH Associate Director, said 'The aim of the project was to reduce food poverty (this is defined as not being able to consume adequate healthy food) and improve health in the target communities. DFfA delivered over 370 core activities to 3,100 residents including local education talks on diet, cookery workshops, fresh fruit in schools, healthy food tastings and information stands. One in eight residents in the target areas participated in at least one of these activities.' The evaluation found that over 1 in 5 adults in the target areas reported they had cut their weekly food spending in the last six months to pay other household bills such as rent, electricity and gas. During the four years of the DFfA activities, this percentage had not changed significantly. There were mixed changes in the nature of food in local stores. While the overall availability and price of food increased, both ﾓhealthierﾔ food and ﾓunhealthierﾔ food were included in that increase. It was only in the larger ﾓmultiple/discount freezerﾔ type of shops that the overall price of food had decreased.

Review of Health Impact Assessment for the Institute of Public Health in Ireland

IPH commissioned a review of HIA work in 2009 to detail progress and achievements of HIA from 2001. This included an assessment of current levels of HIA awareness and activity and suggestions for the direction of future work.

Health Impact Assessment contributing to Healthy Public Policy

Published by Public Health, April 2009 IPH recently coordinated and was guest editor for a minisymposium on Health Impact Assessment for the journal, Public Health. Three aricles contributed to the minisymposium which included an article from IPH on how HIA can contribute to healthy public policy. An article reviewing the right to the highest attainable standard of health from Paul Hunt and Gillian MacNaughton and a review of the strengths and weakneses of quantitiative methods used in HIA from Emer O'Connell and Fintan Hurley. The minisymposium evolved from the 8th International HIA conference ‘Healthy Public Policy – is Health Impact Assessment the Cornerstone’ hosted by IPH.

Seminar Report: Translating Research into Better Public Health: What Does it Mean for the CoE(NI)?

The workshop was attended by 13 people excluding facilitators. Most were from outside QUB (including Belfast City Council, NHSSB, BHSCT, Centre for Public Health, NICR, Institute of Agri-food and Land Use (QUB), etc).Programme was:Introductions Part 1: What’s “knowledge brokerage” all about?Presentation and Q&A (Kevin Balanda)Small group discussions Part 2: What the Centre of Excellence is doingPresentation and Q&A (Kevin Balanda)Small group discussions

Public Health in Europe - The Irish Connection

This background paper details the work undertaken by the Institute to explore the potential for international collaboration in order to contribute to public health development in Ireland. It makes specific reference to the European Commission's proposal for a new programme of community action in the field of public health for 2001-2006.

Prevalence of chronic conditions – Stroke

IPH has estimated and forecast clinical diagnosis rates of stroke among adults for the years 2010, 2015 and 2020. In the Republic of Ireland, the data are based on the Survey of Lifestyle, Attitudes and Nutrition (SLÁN) 2007. The data describe the number of adults who report that they have experienced doctor-diagnosed stroke in the previous 12 months. Data are available by age and sex for each Local Health Office of the Health Service Executive (HSE) in the Republic of Ireland. In Northern Ireland, the data are based on the Health and Social Wellbeing Survey 2005/06. The data describe the number of adults who report that they have experienced doctor-diagnosed stroke at any time in the past. Data are available by age and sex for each Local Government District in Northern Ireland. Clinical diagnosis rates in the Republic of Ireland relate to the previous 12 months and are not directly comparable with clinical diagnosis rates in Northern Ireland which relate to anytime in the past. The IPH estimated prevalence per cents may be marginally different to estimated prevalence per cents taken directly from the reference study. There are two reasons for this: 1) The IPH prevalence estimates relate to 2010 while the reference studies relate to earlier years (Northern Ireland Health and Social Wellbeing Survey 2005/06, Survey of Lifestyle, Attitudes and Nutrition 2007, Understanding Society 2009). Although we assume that the risk of the condition in the risk groups do not change over time, the distribution of the number of people in the risk groups in the population changes over time (eg the population ages).  This new distribution of the risk groups in the population means that the risk of the condition is weighted differently to the reference study and this results in a different overall prevalence estimate. 2) The IPH prevalence estimates are based on a statistical model of the reference study. The model includes a number of explanatory variables to predict the risk of the condition. Therefore the model does not include records from the reference study that are missing data on these explanatory variables. A prevalence estimate for a condition taken directly from the reference study would include these records.

Prevalence of chronic conditions – Diabetes

IPH has estimated and forecast clinical diagnosis rates of diabetes among adults for the years 2010, 2015 and 2020. In the Republic of Ireland, the data are based on the Survey of Lifestyle, Attitudes and Nutrition (SLÁN) 2007. The data describe the number of people who report that they have experienced doctor-diagnosed diabetes in the previous 12 months (annual clinical diagnosis).  Data are available by age and sex for each Local Health Office of the Health Service Executive (HSE) in the Republic of Ireland. Note that an adjustment was made for diabetes medication use recorded in the SLÁN physical examination sub-group of 45+ year olds. In Northern Ireland, the data is based on the Health and Social Wellbeing Survey 2005/06 . The data describe the number of people who report that they have experienced doctor-diagnosed diabetes at any time in the past (lifetime clinical diagnosis). Data are available by age and sex for each Local Government District in Northern Ireland.Clinical diagnosis rates in the Republic of Ireland relate to the previous 12 months and are not directly comparable with clinical diagnosis rates in Northern Ireland which relate to anytime in the past. Differences between IPH estimates and reference study estimates: The IPH estimated prevalence per cents may be marginally different to estimated prevalence per cents taken directly from the reference study. There are two reasons for this: 1) The IPH prevalence estimates relate to 2010 while the reference studies relate to earlier years (Northern Ireland Health and Social Wellbeing Survey 2005/06, Survey of Lifestyle, Attitudes and Nutrition 2007, Understanding Society 2009). Although we assume that the risk of the condition in the risk groups do not change over time, the distribution of the number of people in the risk groups in the population changes over time (eg the population ages).  This new distribution of the risk groups in the population means that the risk of the condition is weighted differently to the reference study and this results in a different overall prevalence estimate. 2) The IPH prevalence estimates are based on a statistical model of the reference study. The model includes a number of explanatory variables to predict the risk of the condition. Therefore the model does not include records from the reference study that are missing data on these explanatory variables. A prevalence estimate for a condition taken directly from the reference study would include these records.  

IPH response to 'Your Health is Your Wealth' - Public Health Policy Framework 2012-2020

The Department of Health (Republic of Ireland) is developing a public health policy, which aims to improve the health of the population and reduce health inequalities by addressing the causes of preventable illnesses.  The aim is to develop a policy for a healthier population for all ages and all sectors in society.  To succeed in developing and implementing a first-class public health policy, in which everyone is encouraged to play a part in protecting and improving the nation’s health, a consultation process was put in place  to ensure wide engagement.