Background: This is a time of unprecedented mobility across the globe. Healthcare systems need to adapt to ensure that primary care is culturally and linguistically appropriate for migrants. Evidence-based guidelines and training interventions for cultural competence and the use of professional interpreters are available across European healthcare settings. However, in real-world practice migrants and their healthcare providers 'get by' with a range of informal and inadequate strategies. RESTORE is an EU FP7 funded project, which is designed to address this translational gap.
Objectives: The objective of RESTORE is to investigate and support the implementation of guidelines and training initiatives to support communication in cross-cultural consultations in selected European primary care settings.
Design: RESTORE is a qualitative, participatory health project running from 2011-2015. It uses a novel combination of normalization process theory and participatory learning and action research to follow and shape the implementation journeys of relevant guidelines and training initiatives. Research teams in Ireland, England, the Netherlands, Austria and Greece are conducting similar parallel qualitative case study fieldwork, with a complementary health policy analysis led by Scotland. In each setting, key stakeholders, including migrants, are involved in participatory data generation and analysis.
Expected Results: RESTORE will provide knowledge about the levers and barriers to the implementation of guidelines and training initiatives in European healthcare settings and about successful, transferrable strategies to overcome identified barriers. RESTORE will elucidate the role of policy in shaping these implementation journeys; generate recommendations for European policy driving the development of culturally and linguistically appropriate healthcare systems.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3109/13814788.2013.868432 | DOI Listing |
J Health Popul Nutr
January 2025
Department of General Education, Faculty of Sciences and Health Technology, Navamindradhiraj University, 3 Khao Rd. Vajirapayaban Dusit, Bangkok, 10300, Thailand.
Background: The Thai government's initial response to the novel coronavirus disease 2019 (COVID-19) led to confusion and food insecurity in quarantined low-income communities. Although free food programs were initiated, no official assessment of their impact exists. The objective of this study was to evaluate the effectiveness of these food programs by surveying the food requirements, food needs, and health behaviors of quarantined, densely populated communities in Bangkok.
View Article and Find Full Text PDFBMC Nutr
January 2025
Department of Epidemiology and Biostatistics, Tbilisi State Medical University, Tbilisi, Georgia.
Background: Childhood overweight and obesity are significant global public health challenges that affect approximately 340 million children worldwide. In Georgia, the prevalence of childhood obesity is alarming, with approximately 28% of 7-year-old children classified as overweight or obese in 2019. This study aimed to investigate the key factors associated with overweight and obesity among school-age children in Georgia.
View Article and Find Full Text PDFBMC Nutr
January 2025
Centre for Lifecourse Nutrition, Department of Nutrition and Public Health, Faculty of Health and Sport Sciences, University of Agder, Postbox 422, Kristiansand, 4604, Norway.
Background: Early Childhood Education and Care (ECEC) centers play an important role in fostering healthy dietary habits. The Nutrition Now project focusing on improving dietary habits during the first 1000 days of life. Central to the project is the implementation of an e-learning resource aimed at promoting feeding practices among staff and healthy dietary behaviours for children aged 0-3 years in ECEC.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Stem Cell and Regenerative Medicine, Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Background: It is worthwhile to establish a prognostic prediction model based on microenvironment cells (MCs) infiltration and explore new treatment strategies for triple-negative breast cancer (TNBC).
Methods: The xCell algorithm was used to quantify the cellular components of the TNBC microenvironment based on bulk RNA sequencing (bulk RNA-seq) data. The MCs index (MCI) was constructed using the least absolute shrinkage and selection operator Cox (LASSO-Cox) regression analysis.
Health Res Policy Syst
January 2025
Centre for Epidemic Interventions Research, Norwegian Institute of Public Health, Oslo, Norway.
During public health crises such as pandemics, governments must rapidly adopt and implement wide-reaching policies and programs ("public policy interventions"). A key takeaway from the coronavirus disease 2019 (COVID-19) pandemic was that although numerous randomized controlled trials (RCTs) focussed on drugs and vaccines, few policy experiments were conducted to evaluate effects of public policy interventions across various sectors on viral transmission and other consequences. Moreover, many quasi-experimental studies were of spurious quality, thus proving unhelpful for informing public policy.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!