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ObjectiveTo assess medium-term organ impairment in symptomatic individuals following recovery from acute SARS-CoV-2 infection.DesignBaseline findings from a prospective, observational cohort study.SettingCommunity-based individuals from two UK centres between 1 April and 14 September 2020.ParticipantsIndividuals ≥18 years with persistent symptoms following recovery from acute SARS-CoV-2 infection and age-matched healthy controls.InterventionAssessment of symptoms by standardised questionnaires (EQ-5D-5L, Dyspnoea-12) and organ-specific metrics by biochemical assessment and quantitative MRI.Main outcome measuresSevere post-COVID-19 syndrome defined as ongoing respiratory symptoms and/or moderate functional impairment in activities of daily living; single-organ and multiorgan impairment (heart, lungs, kidneys, liver, pancreas, spleen) by consensus definitions at baseline investigation.Results201 individuals (mean age 45, range 21–71 years, 71% female, 88% white, 32% healthcare workers) completed the baseline assessment (median of 141 days following SARS-CoV-2 infection, IQR 110–162). The study population was at low risk of COVID-19 mortality (obesity 20%, hypertension 7%, type 2 diabetes 2%, heart disease 5%), with only 19% hospitalised with COVID-19. 42% of individuals had 10 or more symptoms and 60% had severe post-COVID-19 syndrome. Fatigue (98%), muscle aches (87%), breathlessness (88%) and headaches (83%) were most frequently reported. Mild organ impairment was present in the heart (26%), lungs (11%), kidneys (4%), liver (28%), pancreas (40%) and spleen (4%), with single-organ and multiorgan impairment in 70% and 29%, respectively. Hospitalisation was associated with older age (p=0.001), non-white ethnicity (p=0.016), increased liver volume (p<0.0001), pancreatic inflammation (p<0.01), and fat accumulation in the liver (p<0.05) and pancreas (p<0.01). Severe post-COVID-19 syndrome was associated with radiological evidence of cardiac damage (myocarditis) (p<0.05).ConclusionsIn individuals at low risk of COVID-19 mortality with ongoing symptoms, 70% have impairment in one or more organs 4 months after initial COVID-19 symptoms, with implications for healthcare and public health, which have assumed low risk in young people with no comorbidities.Trial registration numberNCT04369807; Pre-results.

ObjectiveArtificial intelligence (AI) will have a significant impact on healthcare over the coming decade. At the same time, health inequity remains one of the biggest challenges. Primary care is both a driver and a mitigator of health inequities and with AI gaining traction in primary care, there is a need for a holistic understanding of how AI affect health inequities, through the act of providing care and through potential system effects. This paper presents a systematic scoping review of the ways AI implementation in primary care may impact health inequity.DesignFollowing a systematic scoping review approach, we searched for literature related to AI, health inequity, and implementation challenges of AI in primary care. In addition, articles from primary exploratory searches were added, and through reference screening.The results were thematically summarised and used to produce both a narrative and conceptual model for the mechanisms by which social determinants of health and AI in primary care could interact to either improve or worsen health inequities.Two public advisors were involved in the review process.Eligibility criteriaPeer-reviewed publications and grey literature in English and Scandinavian languages.Information sourcesPubMed, SCOPUS and JSTOR.ResultsA total of 1529 publications were identified, of which 86 met the inclusion criteria. The findings were summarised under six different domains, covering both positive and negative effects: (1) access, (2) trust, (3) dehumanisation, (4) agency for self-care, (5) algorithmic bias and (6) external effects. The five first domains cover aspects of the interface between the patient and the primary care system, while the last domain covers care system-wide and societal effects of AI in primary care. A graphical model has been produced to illustrate this. Community involvement throughout the whole process of designing and implementing of AI in primary care was a common suggestion to mitigate the potential negative effects of AI.ConclusionAI has the potential to affect health inequities through a multitude of ways, both directly in the patient consultation and through transformative system effects. This review summarises these effects from a system tive and provides a base for future research into responsible implementation.

Background Receiving and accessing care after a diagnosis of dementia, both for the person and their carer, are fraught with inequalities. The aim of this public engagement activity was to co‐produce a board game about dementia inequalities to facilitate learning, dialogue and educate about different barriers, and facilitators, to diagnosis and care and to test the game's impact on dementia knowledge with the general public. Methods Two virtual and two face‐to‐face workshops with people with dementia, unpaid carers, health and social care professionals and Third Sector representatives were held between October 2022 and June 2023. Virtual workshops involved discussions of inequalities and how a board game may feature inequalities. The first face‐to‐face workshop was split into the same activities, aided by outcomes from workshops 1 and 2. Workshop 4 attendees tested the prototype. The impact of the game on knowledge about dementia and inequalities was tested at a game play workshop in October 2023. Results Forty stakeholders attended four workshops. Workshops provided step‐by‐step thoughts on how the game could be designed or modified. The final game, prototype tested in workshop 4, consists of a one‐sided, two‐half board depicting the prediagnosis process (left half) and postdiagnosis process (right half). Fifty‐two members of the general public participated in the game play workshop, which led to significant improvements in knowledge about dementia (p < .001) and inequalities (p < .001). Discussion The game can be used to improve knowledge about dementia inequalities for health and social care professionals, carers, people living with dementia, decision makers and the general public. Patient or Public Contribution This engagement activity fully involved people with dementia, unpaid carers, health and social care professionals and Third Sector representatives throughout, with two unpaid carers as public advisers on the team.

Background Socio-economic status (SES) has been linked to treatment outcomes for mental health problems, whilst little to no literature has explored the effects of SES on access to both medication and psychological therapy. The aim of this study was to explore whether access to mental health treatments differed by SES. Methods The North West Coast Household Health Survey (HHS) collected data from residents aged 18+ from across 20 disadvantaged and 8 less disadvantaged neighbourhoods in 2015, and from 20 disadvantaged neighbourhoods in 2018. Logistic regression was used to explore the effects of SES on access to treatment (medication, psychological therapy) for people who had experienced mental health problems in the past 12 months. Results Of 6860 participants, 2932 reported experiencing mental health problems in the past 12 months. People from more disadvantaged backgrounds experienced greater rates of anxiety and depression. Anti-depressant and anti-psychotic medication treatment was significantly more common in residents with lower SES, as well as counselling. Regression analysis showed that residents from more disadvantaged neighbourhoods who reported mental distress were more likely to receive medication. Conclusions This appears to be the first study showing higher levels of treatment with medication and psychological therapy in people from disadvantaged backgrounds. Future research needs to address the underlying factors associated with increased mental health treatment uptake in people from lower socio-economic backgrounds.

Introduction The evidence is now unequivocal that people from Black and Minority Ethnic Backgrounds (BAME) living in the UK are disproportionately affected by covid-19. There is growing evidence that the reasons for this difference are multi-factorial and need further exploration. Aim The aim of this study was to understand better, perceptions of risk and responses to covid-19 of members of the Muslim community living in the North West of England, and to understand the facilitators and barriers to adherence to restrictions and guidance measures. Method A total of 47 participants took part in 25 in-depth qualitative interviews and four focus groups (n=22) that explored perceptions of risk and responses to risk from covid-19. Data were analysed thematically. Findings Participants were aware of the mechanism of transmission of covid-19 and took steps to mitigate risk of transmission including, observing a range of hygiene practices and following social distancing guidance. Increased risk of covid-19 for BAME populations was explained largely in terms of exposure to the virus due to the types of employment people from BAME populations are employed in. Limitations both within the working environment and more generally in public spaces, was identified as problematic for effective social distancing. The closure of mosques sent out a strong message about the seriousness of the virus and religious teachings reinforced hygiene and social distancing guidelines. Conclusion Across society there are people that adhere to restrictions and guidelines and those that do not. Improving local information provision and communication pathways during times of the pandemic, could aid understanding of risk and promote adherence to social distancing restrictions.

Background The pandemic has significantly affected care homes’ residents and families through the national visiting restrictions. However, less is known on the impact these changes have had on the care home workforce. The aim of this research was to explore the impact of COVID-19 on the working practices of care home staff, caring for people living with dementia. Methods Remote qualitative, semi-structured interviews were conducted with care home staff caring for people living with dementia (PLWD) in the UK. Results Participants were recruited to the larger programme of research via convenience sampling. Interviews were conducted via telephone or online platforms. This research employed inductive thematic analysis. Sixteen care home staff were included in this study. Three overarching themes were developed from the analysis that conveyed changes to the everyday working practices of the care home workforce and the impact such changes posed to staff wellbeing: (1) Practical implications of working in a care home during the COVID-19 pandemic; (2); Staff values and changes to the staff roles (3): Impact to the care home staff and concerns for the care sector. Conclusions The COVID-19 pandemic has significantly disrupted the daily working practices of care home staff, with staff forced to adopt additional roles on top of increased workloads to compensate for the loss of external agencies and support. Support and guidance must be offered urgently to inform care home staff on how to best adapt to their new working practices, ensuring that they are adequately trained.

Background Long Covid is an emerging long‐term condition, with those affected raising concerns about lack of healthcare support. Objective We conducted a qualitative study to identify facilitators and barriers to healthcare access for people with Long Covid, aiming to enhance our understanding of the specific nature of these barriers and how patient experiences may vary. Setting and Participants In the context of the Symptoms, Trajectory, Inequalities and Management: Understanding Long‐COVID to Address and Transform Existing Integrated Care Pathways (STIMULATE‐ICP) Delphi study, a nationally distributed online survey was conducted. Eight patients and eight healthcare practitioners (HCP) were interviewed via telephone or video call. Framework analysis, sensitised by the candidacy theory, was used to identify barriers and facilitators over four levels of access to care. Results Three themes were identified: (i) patients' efforts to navigate emerging pathways for Long Covid, (ii) the patient–HCP interaction and (iii) service resources and structural constraints. Barriers to specialist care included long waiting times, communication gaps across services and a lack of continuity in care. Facilitators included collaborative, patient‐centred approaches, patients' active role in their healthcare and blended approaches for appointments. The perspectives of both patients and HCPs largely aligned. Discussion The candidacy framework was valuable in understanding the experiences of people with Long Covid seeking access to healthcare. Individuals perceived themselves as eligible for care, but they often encountered obstacles in obtaining the expected level of care or, in some cases, did not receive it at all. Our findings are discussed in the context of the candidacy model through multiple processes of identification, negotiation, permeability and appearances at health services. These themes seem to be especially important for the emerging new pathway model and are relevant to both primary and secondary care. Conclusions This study highlights that despite these interviews being conducted two years after the start of the COVID‐19 pandemic, people with Long Covid still struggle to access healthcare, emphasising the ongoing need to provide equitable timely healthcare access for people with Long Covid. Patient or Public Contribution People with Long Covid advised on all stages of this research.

Introduction People from Minority Ethnic backgrounds living in the UK are at greater risk of not only contracting COVID-19, but also experiencing serious consequences of the virus. These emerging health inequalities mirror those already evident in UK society. Aim The aim of this study was to understand how COVID-19 and the associated imposed restrictions affected the lives of people from the Muslim community living in the North West of England. Method Twenty-five in-depth qualitative interviews and four focus groups ( n  = 22) explored individual experiences of COVID-19 and imposed restrictions. Data were analysed thematically. Findings The virus and associated imposed restrictions had negative impacts on the psychological wellbeing of participants, their families and the wider community. Worry and low mood were particular features of participant’s pandemic stories. Main concerns were those of contracting and transmitting the virus to others and employment-related difficulties. Low mood was particularly linked to the impact of restrictions on fundamental interactions embedded within cultural and religious practices. These practices are central to feelings of belonging and connectedness within the Muslim community. Religious beliefs were important in helping to mitigate psychological distress for some participants. Conclusion Psychological distress was associated with COVID-19 virus and impact of COVID-19 restrictions on livelihoods and fundamental human interactions. Better provision of culturally appropriate information, improving local channels of communication and practical support are important during times of pandemic when usual support systems may be disrupted.

As genomic research gathers momentum in sub-Saharan Africa, it has become increasingly important to understand the reasons why individuals wish to participate in this kind of medical research. Against the background of communitarianism conceived as typical of African communities, it is often suggested that individuals consent to participate on the grounds of solidarity and to further the common good. In this paper, we seek to explore this contention by presenting data from focus groups with potential research participants about what would influence their decisions to participate in genomic research. These focus groups were conducted as part of a larger qualitative study with a purposively selected group of participants from a community situated in south west Nigeria. We conducted fifteen focus group sessions comprising 50 participants organized by age and sex, namely: 1) adult (>30 years) males, 2) adult females, 3) youth (18-30 years) males, and 4) youth females. A mixed age-group was conducted to probe different views between the age groups. There was discordance and clear division between the adults and youths regarding the decision to participate in genomic research based on commitment to communal values. Adults based their decision to participate on altruism and furthering the common good while youths based their decisions on personal benefits and preferences and also took into account the views and welfare of family members and neighbours. This discordance suggests a 'generational shift' and we advance a model of 'relative solidarity' among the youths, which is different from the communal solidarity model typical of African communitarianism. Our findings suggest the need for a closer look at strategies for implementation of community engagement and informed consent in genomic research in this region, and we recommend further studies to explore this emerging trend.

Background Mental health services are scarce in low- and middle-income countries (LMICs), and designing and implementing effective interventions can be difficult. The aim of this international study was to explore the key lessons for developing, implementing, and evaluating community-based mental health and well-being interventions in LMICs, with an additional focus on older adults. Methods Research and clinical experts in developing and implementing psychosocial community-based interventions in LMICs were interviewed remotely between October 2021 and January 2022. Participants were recruited via existing global health networks and via published literature searches. Participants were asked about their experiences of developing and implementing interventions, and about key barriers and facilitators during the process. Interviews lasted up to 45 min, and data were analysed using combined inductive and deductive thematic analysis. Results Sixteen global mental health experts participated. Five themes with different sub-themes were generated: Mechanisms and contexts; Barriers; Facilitators; Public and stakeholder involvement; Looking through an ageing lens. The development and delivery of mental health interventions in LMICs are facilitated through integration into existing health infrastructures and working with existing job roles as delivery agents. Public and stakeholder involvement are crucial at all stages of development through to implementation to focus on meeting local needs and sustaining participant motivation. Logistical barriers of transport, resources, and location need to be addressed, emphasising local sustainability. Conclusions This study provides important insights for how the development, implementation, and evaluation of community-based mental health and well-being interventions in LMICs can be optimised, and can complement general guidance into complex interventions developments.