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INTRODUCTION: Violence perpetration by adults with severe mental illness (SMI) specifically towards their relatives is a sensitive topic and a largely neglected area that has consequences and implications for different stakeholders, including healthcare providers. This paper sought to systematically review the relevant literature, to identify the types and rates of violence by people with SMI against their relatives, and to develop a detailed understanding of its reported impacts. METHODS: A systematic review, registered with PROSPERO (registration number CRD42019150784), was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The review comprised searches of Medline, Embase, PsycInfo and CINAHL databases, supplemented by manual searches. Data from 38 papers using mixed methodologies were reviewed. RESULTS: Key findings highlighted that relatives experienced different types of violence, including physical, verbal, psychological, financial violence, and violence directed towards property. Different types often co-occurred. Mothers were the group most likely to report being victims, compared with other relatives. Reported impacts of violence on relatives included mental ill health (e.g., psychological distress, post-traumatic stress symptoms) and the deterioration, and in some cases the permanent breakdown, of family relationships and the family unit. However, relatives often continued to provide a framework of support for patients, despite risks to their own safety. CONCLUSION: Findings speak to the importance of future research extending the focus beyond the identified victimised relative or perpetrator, to also consider the impacts of violence at the family-wide level, and to improve the outcomes of families exposed to and dealing with violence by individuals living with SMI.
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Transtornos Mentais , Adulto , Humanos , Prevalência , Transtornos Mentais/epidemiologia , Violência/psicologia , Saúde MentalRESUMO
Background Informal (unpaid) carers represent a core component of health and social care systems. However, their experiences, health impacts and care needs during Covid-19 have been largely overlooked. This study aimed to explore the health and wellbeing impacts of Covid-19 on carers and the contribution of hopefulness. Methods Data were collected from an online survey hosted on the Qualtrics platform. Results Three hundred and sixty-nine participants consented to the survey. Data are reported on 186 participants with an 80% or higher completion rate. Most participants (> 80%) reported poor sleep quality, while nearly half the sample met case threshold for anxiety (46.2%) and 29% for depression. Mood disturbance in carers was associated with higher levels of sleep disturbances. Positive wellbeing in carers was best predicted by having a more hopeful outlook and fewer symptoms of depression. Limitations A cross-sectional survey-based design that is unable to offer no definitive conclusions about the direction of the results. The study was also limited by having carer participants as the only informants. Conclusions Though informal carers are found in all areas of society, their experiences and health correlates during Covid-19 have not attracted much research attention. The additional and unique challenges of the pandemic for the health and wellbeing needs of carers must not be overlooked as is sadly so often the case. Instead, the experiences of carers and their needs should be prioritised, publicised, and matched by needs-led interventions. Identifying carers and enquiring about their wellbeing would be a laudable first step.
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Informal (unpaid) carers are an integral part of all societies and the health and social care systems in the UK depend on them. Despite the valuable contributions and key worker status of informal carers, their lived experiences, wellbeing, and needs have been neglected during the COVID-19 pandemic. In this Health Policy, we bring together a broad range of clinicians, researchers, and people with lived experience as informal carers to share their thoughts on the impact of the COVID-19 pandemic on UK carers, many of whom have felt abandoned as services closed. We focus on the carers of children and young people and adults and older adults with mental health diagnoses, and carers of people with intellectual disability or neurodevelopmental conditions across different care settings over the lifespan. We provide policy recommendations with the aim of improving outcomes for all carers.
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COVID-19/psicologia , Cuidadores/psicologia , Política de Saúde/legislação & jurisprudência , Necessidades e Demandas de Serviços de Saúde/legislação & jurisprudência , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , COVID-19/diagnóstico , COVID-19/epidemiologia , COVID-19/virologia , Cuidadores/economia , Criança , Pré-Escolar , Feminino , Necessidades e Demandas de Serviços de Saúde/tendências , Humanos , Deficiência Intelectual/epidemiologia , Deficiência Intelectual/psicologia , Acontecimentos que Mudam a Vida , Masculino , Transtornos Mentais/epidemiologia , Transtornos Mentais/psicologia , Morbidade/tendências , Transtornos do Neurodesenvolvimento/epidemiologia , Transtornos do Neurodesenvolvimento/psicologia , SARS-CoV-2/genética , Apoio Social , Reino Unido/epidemiologia , Adulto JovemRESUMO
Background: A key driver of antimicrobial resistance (AMR) is patient demand for unnecessary antibiotics, which is driven by patients' beliefs about antibiotics and AMR. Few interventions have targeted beliefs to reduce inappropriate demand. Objective: To examine whether a brief, online algorithm-based intervention can change beliefs that may lead to inappropriate antibiotic demand (i.e. perceptions of antibiotic necessity and lack of concern about antibiotic harm). Design: Pre- and post-intervention study. Participants: Participants were 18 years or older, and residing in the United Kingdom, who self-selected to participate via Amazon mTurk, an online survey plaform, and via research networks. Intervention: Participants were presented with a hypothetical situation of cold and flu symptoms, then exposed to the intervention. The online intervention comprised: 1) a profiling tool identifying individual beliefs (antibiotic necessity, concerns, and knowledge) driving inappropriate antibiotic demand; 2) messages designed to change beliefs and knowledge (i.e. reduce antibiotic necessity, and increase antibiotic concerns and knowledge), and 3) an algorithm linking specific messages to specific beliefs and knowledge. Main measures: The profiling tool was repeated immediately after the intervention and compared with baseline scores to assess change in beliefs. A paired samples t-test was used to determine intervention effect. Key Results: A total of 100 respondents completed the study. A significant change in beliefs relating to inappropriate demand was observed after the intervention, with a reduction in beliefs about antibiotic necessity (t = 7.254; p < 0.0001), an increase in antibiotic concerns (t = -7.214; p < 0.0001), and increases in antibiotic and AMR knowledge (t = -4.651; p < 0.0001). Conclusion: This study is the first to demonstrate that patient beliefs about antibiotics and AMR associated with inappropriate demand can be changed by a brief, tailored online intervention. This has implications for the design of future interventions to reduce unnecessary antimicrobial use.
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BACKGROUND: Asthma is a chronic disease requiring effective self-management to control it and prevent mortality. The use of theory-informed digital interventions promoting asthma self-management is increasing. However, there is limited knowledge concerning how and to what extent psychological theory has been applied to the development of digital interventions, or how using theory impacts outcomes. OBJECTIVE: The study aimed to examine the use and application of theory in the development of digital interventions to enhance asthma self-management and to evaluate the effectiveness of theory-based interventions in improving adherence, self-management, and clinical outcomes. METHODS: Electronic databases (CENTRAL, MEDLINE, EMBASE, and PsycINFO) were searched systematically using predetermined terms. Additional studies were identified by scanning references within relevant studies. Two researchers screened titles and abstracts against predefined inclusion criteria; a third resolved discrepancies. Full-text review was undertaken for relevant studies. Those meeting inclusion criteria were assessed for risk of bias using the Cochrane Collaboration tool. The review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. Study outcomes were classified as medication adherence, self-management, asthma control, clinical markers of health, quality of life, other quality of life outcomes, and health care utilization. Effectiveness was calculated as an average outcome score based on the study's reported significance. The Theory Coding Scheme (TCS) was used to establish the extent to which each intervention had applied theory and which theoretical constructs or behavioral determinants were addressed. Associations between TCS scores and asthma outcomes were described within a narrative synthesis. RESULTS: Fourteen studies evaluating 14 different digital interventions were included in this review. The most commonly cited theories were Social Cognitive Theory, Health Belief Model, and Self-Efficacy Theory. A greater use of theory in the development of interventions was correlated with effective outcomes (r=.657; P=.01): only the 3 studies that met >60% of the different uses of theory assessed by the TCS were effective on all behavioral and clinical outcomes measured. None of the 11 studies that met ≤60% of the TCS criteria were fully effective; however, 3 interventions were partially effective (ie, the intervention had a significant impact on some, but not all, of the outcomes measured). Most studies lacked detail on the theoretical constructs and how they were applied to the development and application of the intervention. CONCLUSIONS: These findings suggest that greater use of theory in the development and application of digital self-management interventions for asthma may increase their effectiveness. The application of theory alone may not be enough to yield a successful intervention, and other factors (eg, the context in which the intervention is used) should be considered. A systematic approach to the use of theory to guide the design, selection, and application of intervention techniques is needed.
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Asma/terapia , Autogestão , Asma/tratamento farmacológico , Asma/psicologia , Doença Crônica , Humanos , Adesão à Medicação , Qualidade de Vida , Resultado do TratamentoRESUMO
BACKGROUND: Non-adherence to asthma treatment is a contributing factor for poorly controlled asthma. AIM: The aim of this systematic review is to explore patients' perceptions of their inhaled asthma treatment, and how these relate to adherence, using both qualitative and quantitative data. METHODS: Pre-determined search terms and inclusion criteria were used to search electronic databases (The Cochrane Library, MEDLINE, EMBASE and PsycINFO). Two researchers screened titles and abstracts using the Rayyan web app and data were extracted in relation to psychological components (beliefs about, and attitudes towards, medicines) and adherence. RESULTS: Of 1638 papers, 36 met the inclusion criteria. Key themes were: Perceived need for treatment - all 12 studies using the BMQ to measure patients' perceived need for treatment found that patients' beliefs about their necessity for treatment were associated with adherence-; Concerns about treatment - immediate and long-term side effects (58%), worries about safety (19%), and potential addiction to asthma medication (31%)-; and Perceived social stigma - 22% of studies reported that embarrassment contributed to poor adherence. CONCLUSIONS: Acknowledging and addressing patient treatment beliefs and perceptual barriers to adherence is integral to designing adherence interventions for asthma patients. Further research is needed to better our understanding of the relationship between treatment perceptions and adherence.