Policy implications

2019 ◽  
pp. 163-182 ◽  
Author(s):  
Johan P. Mackenbach
Keyword(s):  
Risk Factors ◽  
Health Inequalities ◽  
Population Level ◽  
Policy Implications ◽  
European Countries ◽  
Evidence Based ◽  
Inequalities In Health ◽  
Quantitative Analyses ◽  
Potential Impact ◽  
Personal Reflections

Chapter 6 (‘Policy implications’) describes how several European countries have tried to reduce health inequalities. Even the well-resourced English strategy (1997–2010) has not reduced health inequalities at the population level, due to a combination of lack of evidence-based interventions and lack of scale of the efforts. Quantitative analyses of actually observed trends in European countries and of the potential impact of equalizing the distribution of risk factors show that reducing relative inequalities in health is almost impossible when overall health improves. It is therefore advisable to aim for reducing absolute inequalities in health, and to avoid overly ambitious quantitative targets. The book ends with a number of partly personal reflections on the sobering conclusions of 30 years of research, but also highlights some new inspirations for continued efforts to reduce health inequalities.

scholarly journals Can inequalities in political participation explain health inequalities?

2019 ◽  
Author(s):  
Aaron Reeves ◽  
Johan P. Mackenbach
Keyword(s):  
Income Inequality ◽  
Political Participation ◽  
Educational Attainment ◽  
Health Inequalities ◽  
Social Protection ◽  
Health Spending ◽  
European Countries ◽  
Healthy Life ◽  
Inequalities In Health ◽  
Policy Choices

Inequalities in health are pervasive and durable, but they are not uniform. To date, however, the drivers of these between-country patters in health inequalities remain largely unknown. In this analysis, we draw on data from 17 European countries to explore whether inequalities in political participation, that is, inequalities in voting by educational attainment, are correlated with health inequalities. Over and above a range of relevant confounders, such as GDP, income inequality, health spending, social protection spending, poverty rates, and smoking, greater inequalities in political participation remain correlated with higher health inequalities. If ‘politicians and officials are under no compulsion to pay much heed to classes and groups of citizens that do not vote’ then political inequalities could indirectly affect health through its impact on policy choices that determine who has access to the resources necessary for a healthy life. Inequalities in political participation, then, may well be one of the ‘causes of the causes’ of ill-health.

Static metrics of impact for a dynamic problem: The need for smarter tools to guide suicide prevention planning and investment

2018 ◽  
Vol 52 (7) ◽  
pp. 660-667 ◽  
Author(s):  
Andrew Page ◽  
Jo-An Atkinson ◽  
Mark Heffernan ◽  
Geoff McDonnell ◽  
Ante Prodan ◽  
...  
Keyword(s):  
Suicide Prevention ◽  
Population Attributable Risk ◽  
Population Level ◽  
Systems Science ◽  
Evidence Based ◽  
Policy And Practice ◽  
Psychosocial Therapy ◽  
Potential Impact ◽  
Therapy Intervention ◽  
Over Time

Objectives: This study investigates two approaches to estimate the potential impact of a population-level intervention on Australian suicide, to highlight the importance of selecting appropriate analytic approaches for informing evidence-based strategies for suicide prevention. Methods: The potential impact of a psychosocial therapy intervention on the incidence of suicide in Australia over the next 10 years was used as a case study to compare the potential impact on suicides averted using: (1) a traditional epidemiological measure of population attributable risk and (2) a dynamic measure of population impact based on a systems science model of suicide that incorporates changes over time. Results: Based on the population preventive fraction, findings suggest that the psychosocial therapy intervention if implemented among all eligible individuals in the Australian population would prevent 5.4% of suicides (or 1936 suicides) over the next 10 years. In comparison, estimates from the dynamic simulation model which accounts for changes in the effect size of the intervention over time, the time taken for the intervention to have an impact in the population, and likely barriers to the uptake and availability of services suggest that the intervention would avert a lower proportion of suicides (between 0.4% and 0.5%) over the same follow-up period. Conclusion: Traditional epidemiological measures used to estimate population health burden have several limitations that are often understated and can lead to unrealistic expectations of the potential impact of evidence-based interventions in real-world settings. This study highlights these limitations and proposes an alternative analytic approach to guide policy and practice decisions to achieve reductions in Australian suicide.

The Preschool Stuttering Screen for Health Care Professionals

2011 ◽  
Vol 21 (2) ◽  
pp. 59-62
Author(s):  
Joseph Donaher ◽  
Christina Deery ◽  
Sarah Vogel
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Differential Diagnosis ◽  
Preschool Children ◽  
Health Care Professionals ◽  
Healthcare Professionals ◽  
Evidence Based ◽  
Developmental Profile

Healthcare professionals require a thorough understanding of stuttering since they frequently play an important role in the identification and differential diagnosis of stuttering for preschool children. This paper introduces The Preschool Stuttering Screen for Healthcare Professionals (PSSHP) which highlights risk factors identified in the literature as being associated with persistent stuttering. By integrating the results of the checklist with a child’s developmental profile, healthcare professionals can make better-informed, evidence-based decisions for their patients.

Population level risk factors associated with childhood obesity

2019 ◽  
Author(s):  
Claire Beynon ◽  
Nora Pashyan ◽  
Elizabeth Fisher ◽  
Dougal Hargreaves ◽  
Linda Bailey ◽  
...  
Keyword(s):  
Risk Factors ◽  
Childhood Obesity ◽  
Population Level ◽  
Factors Associated

Design and Development of a Web-based Delirium Preventive Application for Long-term Care Facilities: A Methodological Study (Preprint)

2020 ◽  
Author(s):  
Kyoung Ja Moon ◽  
Chang-Sik Son ◽  
Jong-Ha Lee ◽  
Mina Park
Keyword(s):  
Risk Factors ◽  
Long Term Care ◽  
Cloud System ◽  
Evidence Based ◽  
Methodological Study ◽  
Term Care ◽  
Web Based ◽  
Care Facilities ◽  
Delirium Prevention

BACKGROUND Long-term care facilities demonstrate low levels of knowledge and care for patients with delirium and are often not properly equipped with an electronic medical record system, thereby hindering systematic approaches to delirium monitoring. OBJECTIVE This study aims to develop a web-based delirium preventive application (app), with an integrated predictive model, for long-term care (LTC) facilities using artificial intelligence (AI). METHODS This methodological study was conducted to develop an app and link it with the Amazon cloud system. The app was developed based on an evidence-based literature review and the validity of the AI prediction model algorithm. Participants comprised 206 persons admitted to LTC facilities. The app was developed in 5 phases. First, through a review of evidence-based literature, risk factors for predicting delirium and non-pharmaceutical contents for preventive intervention were identified. Second, the app, consisting of several screens, was designed; this involved providing basic information, predicting the onset of delirium according to risk factors, assessing delirium, and intervening for prevention. Third, based on the existing data, predictive analysis was performed, and the algorithm developed through this was calculated at the site linked to the web through the Amazon cloud system and sent back to the app. Fourth, a pilot test using the developed app was conducted with 33 patients. Fifth, the app was finalized. RESULTS We developed the Web_DeliPREVENT_4LCF for patients of LTC facilities. This app provides information on delirium, inputs risk factors, predicts and informs the degree of delirium risk, and enables delirium measurement or delirium prevention interventions to be immediately implemented with a verified tool. CONCLUSIONS This web-based application is evidence-based and offers easy mobilization and care to patients with delirium in LTC facilities. Therefore, the use of this app improves the unrecognized of delirium and predicts the degree of delirium risk, thereby helping initiatives for delirium prevention and providing interventions. This would ultimately improve patient safety and quality of care. CLINICALTRIAL none

Fidelity and Its Relationship to Implementation Effectiveness, Adaptation, and Dissemination

2017 ◽  
Author(s):  
Jennifer D. Allen ◽  
Rachel C. Shelton ◽  
Karen M. Emmons ◽  
Laura A. Linnan
Keyword(s):  
Public Health ◽  
Treatment Strategies ◽  
Implementation Fidelity ◽  
Population Level ◽  
The United States ◽  
Dissemination And Implementation ◽  
Evidence Based ◽  
Health Gains ◽  
Significant Public Health ◽  
Research Continuum

There is substantial variability in the implementation of evidence-based interventions across the United States, which leads to inconsistent access to evidence-based prevention and treatment strategies at a population level. Increased dissemination and implementation of evidence-based interventions could result in significant public health gains. While the availability of evidence-based interventions is increasing, study of implementation, adaptation, and dissemination has only recently gained attention in public health. To date, insufficient attention has been given to the issue of fidelity. Consideration of fidelity is necessary to balance the need for internal and external validity across the research continuum. There is also a need for a more robust literature to increase knowledge about factors that influence fidelity, strategies for maximizing fidelity, methods for measuring and analyzing fidelity, and examining sources of variability in implementation fidelity.

Nonsuicidal Self-Injury Among Youth

2018 ◽  
Author(s):  
Adam Bryant Miller ◽  
Maya Massing-Schaffer ◽  
Sarah Owens ◽  
Mitchell J. Prinstein
Keyword(s):  
Risk Factors ◽  
Applied Research ◽  
Evidence Based ◽  
Prevalence Rates ◽  
Evidence Based Treatment ◽  
The Past ◽  
Self Injury ◽  
Assessment Techniques ◽  
Basic And Applied Research ◽  
Nonsuicidal Self Injury

Nonsuicidal self-injury (NSSI) is direct, intentional harm to one’s own body performed without the intent to die. NSSI has a marked developmental onset reaching peak prevalence in adolescence. NSSI is present in the context of multiple psychological disorders and stands alone as a separate phenomenon. Research has accumulated over the past several decades regarding the course of NSSI. While great advances have been made, there remains a distinct need for basic and applied research in the area of NSSI. This chapter reviews prevalence rates, correlates and risk factors, and leading theories of NSSI. Further, it reviews assessment techniques and provides recommendations. Then, it presents the latest evidence-based treatment recommendations and provides a case example. Finally, cutting edge research and the next frontier of research in this area are outlined.

scholarly journals Exploring the local policy context for reducing health inequalities in children and young people: an in depth qualitative case study of one local authority in the North of England, UK

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Eleanor Holding ◽  
Hannah Fairbrother ◽  
Naomi Griffin ◽  
Jonathan Wistow ◽  
Katie Powell ◽  
...  
Keyword(s):  
Child Health ◽  
Social Determinants Of Health ◽  
Health Inequalities ◽  
Social Determinants ◽  
Qualitative Case Study ◽  
Determinants Of Health ◽  
Local Policy ◽  
Inequalities In Health ◽  
The North

Abstract Background Improving children and young people’s (CYP) health and addressing health inequalities are international priorities. Reducing inequalities is particularly pertinent in light of the Covid-19 outbreak which has exacerbated already widening inequalities in health. This study aimed to explore understandings of inequality, the anticipated pathways for reducing inequalities among CYP and key factors affecting the development and implementation of policy to reduce inequalities among CYP at a local level. Methods We carried out a qualitative case study of one local government region in the North of England (UK), comprising semi structured interviews (n = 16) with service providers with a responsibility for child health, non-participant observations of key meetings (n = 6 with 43 participants) where decisions around child health are made, and a local policy documentation review (n = 11). We employed a novel theoretical framework, drawing together different approaches to understanding policy, to guide our design and analysis. Results Participants in our study understood inequalities in CYP health almost exclusively as socioeconomically patterned inequalities in health practices and outcomes. Strategies which participants perceived to reduce inequalities included: preventive support and early intervention, an early years/whole family focus, targeted working in local areas of high deprivation, organisational integration and whole system/place-based approaches. Despite demonstrating a commitment to a social determinants of health approach, efforts to reduce inequalities were described as thwarted by the prevalence of poverty and budget cuts which hindered the ability of local organisations to work together. Participants critiqued national policy which aimed to reduce inequalities in CYP health for failing to recognise local economic disparities and the interrelated nature of the determinants of health. Conclusions Despite increased calls for a ‘whole systems’ approach to reducing inequalities in health, significant barriers to implementation remain. National governments need to work towards more joined up policy making, which takes into consideration regional disparities, allows for flexibility in interpretation and addresses the different and interrelated social determinants of health. Our findings have particular significance in light of Covid-19 and indicate the need for systems level policy responses and a health in all policies approach.

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