Spór migracyjny wśród użytkowników Twittera na #BrexitDay

Liberal states simultaneously pursue policies of encouraging and controlling (un)desired immigration. Forces of representative democracy, nationhood, constitutionalism, and capitalism - each call for a distinct migration strategy. Previous research focusing on attitudes towards migration used quantitative methods examining values and perceptions that influence people's opinions. Still, it did not explore the diversity and complexity of sentiments. This paper aims to provide a more nuanced perspective based on tweets on and around the last day of the British membership in the European Union (31 January 2020). Data were collected using NCapture - a web-browser extension that downloaded tweets with hashtags #Brexit, #BrexitDay, and #BrexitEve, and imported them directly to NVivo. Seven batches of tweets were captured on 30-31 January and 1, 7-10 February; extracting 250,095 published between 23 January and 10 February. All retweets, duplicates, non-English tweets, and spam were removed, leaving 888 tweets for the analysis. The dataset was coded twice, assigning sentiments towards Brexit as positive (n = 203), negative (n = 586), or neutral (n = 99), and using inductive thematic analysis. The findings showed the division of discourse on migration was more complicated than merely in favor and against immigration. Interestingly, they also exhibited the shift in the British debate from benefits and drawbacks of immigration to the reciprocity of migration policies in the future relations between the United Kingdom and the European Union.Państwa liberalne prowadzą politykę zachęcania do imigracji i jednocześnie kontrolowania jej. Demokracja reprezentatywna, państwo narodowe, konstytucjonalizm i kapitalizm - każdy z tych systemów wymaga konkretnej strategii migracyjnej. Poprzednie badania skupiały się na postawach wobec migracji, wykorzystywały metody ilościowe, których celem było analizowanie wartości i percepcji wpływających na opinie społeczeństwa. Stąd różnorodność i złożoność nastrojów społecznych jest mniej znana. Artykuł ma na celu przedstawienie perspektyw opartych na tweetach w ostatnim dniu (i okolicach) członkostwa Wielkiej Brytanii w Unii Europejskiej (31stycznia 2020 r.). Dane zebrano za pomocą NCapture - rozszerzenia przeglądarki internetowej, które pobierało tweety z hashtagami #Brexit, #BrexitDay i #BrexitEve i importowało je bezpośrednio do NVivo. Siedmiokrotnie przechwycono tweety w dniach 30-31stycznia i 1, 7-10 lutego; zbierając 250 095 tweetów opublikowanych między 23 stycznia a 10 lutego. Wszystkie retweety, duplikaty, tweety w jęz. innym niż angielski i spam zostały usunięte; pozostawiono 888 tweetów do analizy. Tweety zostały zakodowane dwukrotnie; stosunek do brexitu zakodowano jako pozytywny (n = 203), negatywny (n = 586) lub neutralny (n = 99). Przeprowadzono również analizę tematyczną. Wyniki pokazały, że podział dyskursu na temat migracji był bardziej skomplikowany niż tylko debata "za" i "przeciw" imigracji. Co ciekawe wyniki wskazują także na przesunięcie się granicy w brytyjskiej debacie migracyjnej od rozważania korzyści i wad imigracji po przyszłe, dwustronne zasady migracji między Wielką Brytanią a Unią Europejską

Book review: Embedding young people’s participation in health services: new approaches edited by Louca-Mai Brady

In Embedding Young People’s Participation in Health Services: New Approaches, Louca-Mai Brady brings together contributors to explore the potential for inclusive and diverse approaches to young people’s participation in health services. This collection will be relevant reading for academics, professionals or involvement officers who would like to learn more about how to embed young people’s participation in their work

The mental health and wellbeing of EU citizens in the UK: a systematic review of the qualitative literature.

Moving to a new country impacts on migrants’ mental health and well-being. There are over 3.6 million European Union citizens living in the United Kingdom. We conducted a systematic review of the qualitative literature to explore what is known about their mental health and well-being at the post-migration stage in pre-Brexit period. We searched five databases from 1st January 2009 to 19th February 2019; Web of Science, MEDLINE, CINAHL, SocIndex and Scopus for studies. Ten papers reporting nine studies were included in this review. Two themes were constructed; a narrative of adjustment and of employment realities. The former focuses on the process of settling in and the role of social connectedness. The latter concerns employment realities with included studies exploring the financial position and employment experiences of migrants. Findings indicate that we still know relatively little about the range of post-migration experiences among EU citizens and their implications for mental health

How Brexit impacts EU citizens' mental health and wellbeing: research findings.

Our study shows that the Brexit campaign, referendum and subsequent political discourse have damaged EU citizens' wellbeing, primarily through undermining their integration into Scottish society. They have been left feeling unwanted, unwelcome, marked out as different and treated as inferior. They are concerned with the uncertainty around Brexit, reducing their ability to visualise their future in Scotland. Most saw Scotland and the UK as open, welcoming countries before the 2016 referendum, increasing their sense of shock and loss. Thus, we argue that the mental health of the EU citizens is important not only in its own right, but also as a barometer of integration and cohesion in Scotland. To heal EU citizens is to go some way in healing Scotland as a whole. Scotland has a critical advantage over the rest of the UK given its 'Remain' majority, but still faces challenges that need to be tackled on national and local levels. Key messages include: EU citizens' mental health and wellbeing are being impacted by Brexit; their mental health and wellbeing provides a window into the health of our nation, in relation to integration and cohesion; Scotland holds a critical advantage over the rest of UK, but still faces challenges

Adults with type 1 and 2 diabetes and healthcare professionals' experiences of household food insecurity management in high income countries: a systematic review. [Protocol]

Protocol for a review, aiming to address the following questions: 1) What are the experiences of household food security self-management among adults with type 1 and 2 diabetes? 2) What are the experiences of household food security management among healthcare professionals in high income countries? 3) What evidence is there around household food security management of diabetes

A real time, longitudinal, qualitative evaluation of the first two cohorts to participate in the Queen’s Nurse Development Programme.

Background: The Queens Nurse Development Programme (QNDP) has been delivered to community nurses in Scotland since 2017, born out of a commitment to reintroduce the Queen’s Nurse title in Scotland after 50 years. The aim of the QNDP was to connect individuals with a shared passion for delivering high - quality nursing throughout Scotland’s communities, to create a safe space where participants could develop and grow on a personal level to become change makers, to inspire others, help those most in need and champion community nursing. As such, the participants selected were employed in a wide-range of diverse roles, from throughout Scotland. The programme takes place over a nine-months, during which participants engaged with a varied programme involving residential workshops, where they experienced a range of creative and contemplative awareness based change practices, the development of a practice issue, and individual coaching. This report presents an independent evaluation of the QNDP based on the first two cohorts of participants to engage with the programme (2017 & 2018). Evaluating the QNDP is important to optimise the programme for subsequent cohorts of Queen’s nurses and to inform the transferability of the programme to other professions and contexts. Methods: A comprehensive, longitudinal, qualitative evaluation, where data was collected at various time points, using interviews, focus groups and a ‘member-checking’ event with all 41 QNDP participants (20 fromcohort 1 and 21 fromcohort 2), as well as 12 community nursing managers and the 3 QNDP facilitators. The purpose was to uncover and explore perceptions and experiences of the QNDP: what was learned; how this was implemented into everyday practice; as well as the impacts and sustainability of changes. The data was analysed using Braun and Clarke’s six-point framework of analysis; familiarisation, coding, generating themes, reviewing themes, defining and naming themes and writing up (Clarke et al., 2015). Double coding and independent analysis ensured trustworthy, rigorous and valid findings. Summary and Conclusions: Participants were overwhelmingly positive about the programme, and appreciated its design, facilitation, approach and methods utilised, as well as the resulting impacts and outcomes. Engaging with the QNDP led to an unexpected ‘journey of self-discovery and transformation’, with notable self-development, growth and positive change. Essentially, the programme enabled participants to see through a new lens, re-position themselves and embody new (person-centred) ways of being and doing, which transcended both their personal and professional lives as community nurses, colleagues, ‘leaders’, service providers, networkers, family members and friends. The participants perceptions of this work and learning was that as it was personal, changing their thinking and identity and therefore, the impact of the programme and the personal and professional transformation and changes introduced were perceived to be sustainable for the rest of their professional life and beyond. The programme facilitated the building of close bonds with their peers which enabled them to confidently share problems and challenges, reinforce their learnings and new thinking, and engage them in a journey of transformation. As such, a community of practice has been created within and across the cohorts which has the potential to become a social movement as intended by QNIS. The programme also equipped them with novel, creative approaches, skills and tools that they were able to share with colleagues, friends and family. Thus, the programme achieved a key aim of connecting individuals and equipping QNDP participants with a range of new skills. The findings of this evaluation and the QNDP are likely to be transferable to other health and social care professionals and beyond the Scottish context

Public involvement and engagement in big data research: A scoping review

Objectives Public involvement and engagement have been suggested as a way to establish public support for big data research, yet there has been no review exploring how these activities could facilitate this. Therefore, this scoping review aimed to explore public involvement and engagement in big data research. Methods Following Arksey and O’Malley’s methodology, we systematically searched the following databases: CINAHL, Health Research Premium Collection, PubMed, Scopus and Web of Science for papers published between 2010-2021. Additional manual searches took place. These included the first 100 hits in Google search, journals (BMC Research Involvement and Engagement, International Journal of Population Data Science and Health Expectations) and grey literature (Patient Outcome Research Institute database, first 100 hits were screened). We extracted data using a standardised form. We then organised it in a descriptive and narrative way. A system logic model was developed to understand the complexity of this topic. Results Fifty-three papers were identified as eligible for inclusion in our review. The findings indicate that public involvement and engagement have the potential to improve public trust and accountability for data resharing for research. However, there is limited literature actually evaluating these activities. The findings suggest that the public can be meaningfully involved and engaged in big data research, both in terms of individual research projects and data governance, but there is no one standardised approach to do it. Therefore, we developed an initial system logic model to map relevant aspects of the involvement and engagement activities. These include which communities to reach, the context (e.g. ethical, legal aspects or public views), the design and delivery of activities, and outcomes. Conclusion Despite the growing literature on public involvement and engagement in big data research, more research is needed as there are few primary empirical studies exploring involvement and engagement. We suggest using the system logic model we developed when reflecting on issues that might be relevant in organising these activities

Public involvement and engagement in big data research: protocol for a scoping review and a systematic review of delivery and effectiveness of strategies for involvement and engagement

INTRODUCTION: Big data research has grown considerably over the last two decades. This presents new ethical challenges around consent, data storage and anonymisation. Big data research projects require public support to succeed and it has been argued that one way to achieve this is through public involvement and engagement. To better understand the role public involvement and engagement can play in big data research, we will review the current literature. This protocol describes the planned review methods. METHODS AND ANALYSIS: Our review will be conducted in two stages. In the first stage, we will conduct a scoping review using Arksey and O’Malley methodology to comprehensively map current evidence on public involvement and engagement in big data research. Databases (CINAHL, Health Research Premium Collection, PubMed, Scopus, Web of Science) and grey literature will be searched for eligible papers. We provide a narrative description of the results based on a thematic analysis. In the second stage, out of papers found in the scoping review which discuss involvement and engagement strategies, we will conduct a systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, exploring the delivery and effectiveness of these strategies. We will conduct a qualitative synthesis. Relevant results from the quantitative studies will be extracted and placed under qualitative themes. Individual studies will be appraised through Mixed Methods Appraisal Tool (MMAT), we will then assess the overall confidence in each finding through Confidence in the Evidence from Reviews of Qualitative research (GRADE-CERQual). Results will be reported in a thematic and narrative way. ETHICS AND DISSEMINATION: This protocol sets out how the review will be conducted to ensure rigour and transparency. Public advisors were involved in its development. Ethics approval is not required. Review findings will be presented at conferences and published in peer-reviewed journals

Exploring how to improve the involvement of Polish and South Asian communities around big data research. A qualitative study using COM-B model

Introduction Involving public contributors helps researchers to ensure that public views are taken into consideration when designing and planning research, so that it is person-centred and relevant to the public. This paper will consider public involvement in big data research. Inclusion of different communities is needed to ensure everyone's voice is heard. However, there remains limited evidence on how to improve the involvement of seldom-heard communities in big data research. Objectives This study aims to understand how South Asians and Polish communities in the UK can be encouraged to participate in public involvement initiatives in big data research. Methods Forty interviews were conducted with Polish (n=20) and South Asian (n=20) participants on Zoom. The participants were living in the United Kingdom and had not previously been involved as public contributors. Transcribed interviews were analysed using reflexive thematic analysis. Results We identified eight themes. The 'happy to reuse data' theme sets the scene by exploring our participants' views towards big data research and under what circumstances they thought that data could be used. The remaining themes were mapped under the capability-opportunity-motivation-behaviour (COM-B) model, as developed by Michie and colleagues. This allowed us to discuss multiple factors that could influence people's willingness to become public contributors. Conclusions Our study is the first to explore how to improve the involvement and engagement of seldom-heard communities in big data research using the COM-B model. The results have the potential to support researchers who want to identify what can influence members of the public to be involved. By using the COM-B model, it is possible to determine what measures could be implemented to better engage these communities