Over the past years, application of health impact assessment has increased substantially, and there has been a strong growth of tools that allow quantification of health impacts for a range of health relevant policies. We review these developments, and conclude that further tool development is no longer a main priority, although several aspects need to be further developed, such as methods to assess impacts on health inequalities and to assess uncertainties. The main new challenges are, first, to conduct a comparative evaluation of different tools, and, second, to ensure the maintenance and continued availability of the toolkits including their data contents.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1136/jech-2011-200835 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Investigating the relationship between social media use and the attitudes towards nutrition and body image shame among Iranian female students: A cross-sectional study.
Medicine (Baltimore)
January 2025
Students Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Social media are Internet-based services that allow participation in online communities and exchanges. Considering the high and increasing statistics of the use of social media all over the world and its impact on people's lives, the present study aimed to determine the relationship between social media and nutritional attitudes and body image shame among Iranian female students. This cross-sectional study was performed on 201 female student of Tehran University of Medical Sciences in Tehran, Iran from May to December 2023.
View Article and Find Full Text PDFParental Mental Health and Child Maltreatment in the COVID-19 Pandemic: Importance of Sampling in a Quantitative Statistical Study.
J Med Internet Res
January 2025
Clinical Psychology and Psychotherapy, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.
Background: Results on parental burden during the COVID-19 pandemic are predominantly available from nonrepresentative samples. Although sample selection can significantly influence results, the effects of sampling strategies have been largely underexplored.
Objective: This study aimed to investigate how sampling strategy may impact study results.
Effectiveness of Digital Mental Health Interventions in the Workplace: Umbrella Review of Systematic Reviews.
JMIR Ment Health
January 2025
Inspire, Belfast, United Kingdom.
Background: There is potential for digital mental health interventions to provide affordable, efficient, and scalable support to individuals. Digital interventions, including cognitive behavioral therapy, stress management, and mindfulness programs, have shown promise when applied in workplace settings.
Objective: The aim of this study is to conduct an umbrella review of systematic reviews in order to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting.
The Use of AI in Mental Health Services to Support Decision-Making: Scoping Review.
J Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
View Article and Find Full Text PDFImpact of under-assisted ventilation on diaphragm function and structure in a porcine model.
Anesthesiology
January 2025
Department of Anesthesiology and Critical Care Medicine B (DAR B), Saint-Eloi Hospital, University Teaching Hospital of Montpellier, 80 avenue Augustin Fliche, 34295 Montpellier, France.
Background: Long-term controlled mechanical ventilation (CMV) in intensive care unit (ICU) induces ventilatory-induced-diaphragm-dysfunction (VIDD). The transition from CMV to assisted mechanical ventilation is a challenge that requires clinicians to balance over-assistance and under-assistance. While the effects of over-assistance on the diaphragm are well known, we aimed to assess the impact of under-assistance on diaphragm function and structure in piglet model with pre-existing VIDD (after long-term CMV) or without VIDD (short-term CMV).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!