120 research outputs found

    America’s U-boats: Terror Trophies of World War I

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    The Attitudes about Complex Therapy Scale (ACTS) in Type 2 Diabetes and Cardiovascular Disease: Development, Validity and Reliability

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    Background: Type 2 diabetes is associated with cardiovascular disease, and patients with both conditions are prescribed complex medication regimens. Aim: The aim was to develop a reliable and valid measure of attitudes associated with the prescription and management of multiple medicines in patients with Type 2 diabetes and cardiovascular disease. Methods: Principal component analysis (PCA) and Cronbach alpha assessed the reliability of the Attitudes about Complex Therapy Scale (ACTS). Examinations of relationships with related measures inform concurrent validity. Questionnaires were sent to a cross-sectional sample of 480 people prescribed multiple medicines for co-morbid Type 2 diabetes. Results: Cronbach alpha was 0.76, indicating the scale had good internal reliability. PCA rotated a four factor model accounting for 37% of the variance. Four subscales identified; 1. Concerns about multiple medicines and increasing numbers of medicines; 2.Anxiety over missed medicines; 3. Desires to substitute medicines and reduce the number of medicines prescribed and; 4. Perceptions related to organising and managing complex therapy. The ACTS showed significant relationships with measures of anxiety, depression, general beliefs about medicines and self-efficacy. Also, the ACTS significantly correlated with adherence to medicines, showing good predictive validity. Conclusion: The ACTS was designed to assess negative attitudes towards complex therapy and multiple medication management. This tool could aid prescribing decisions and may identify people who are intentionally non-adherent to all or some of their medicines

    Is treatment of depression cost-effective in people with diabetes? A systematic review of the economic evidence

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    PublishedJournal ArticleResearch Support, Non-U.S. Gov'tReviewOBJECTIVES: Depression is common in diabetes and linked to a wide range of adverse outcomes. UK policy indicates that depression should be treated using conventional psychological treatments in a stepped care framework. This review aimed to identify current economic evidence of psychological treatments for depression among people with diabetes. METHOD: Electronic search strategies (conducted in MEDLINE, EMBASE, PsycINFO, CINAHL, NHS EED) combined clinical and economic search terms to identify full economic evaluations of the relevant interventions. Prespecified screening and inclusion criteria were used. Standardized data extraction and critical appraisal were conducted and the results summarized qualitatively. RESULTS: Excluding duplicates, 1,516 studies for co-morbid depression and diabetes were screened. Four economic evaluations were identified. The studies found that the interventions improved health status, reduced depression and were cost-effective compared with usual care. The studies were all U.S.-based and evaluated collaborative care programs that included psychological therapies. Critical appraisal indicated limitations with the study designs, analysis and results for all studies. CONCLUSIONS: The review highlighted the paucity of evidence in this area. The four studies indicated the potential of interventions to reduce depression and be cost-effective compared with usual care. Two studies reported costs per QALY gained of USD 267 to USD 4,317, whilst two studies reported the intervention dominated usual care, with net savings of USD 440 to USD 612 and net gains in patient free days or QALYs

    Covid‑19 Coping Survey: an In‑depth Qualitative Analysis of Free‑Text Responses from People With and Without Existing Health Conditions in the UK

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    BACKGROUND: There is currently a lack of qualitative research exploring how cognitive and emotional reactions to the threat of SARS-CoV-2 affected the health behaviours of people living with and without pre-existing mental and physical health conditions. We aimed to investigate how the threat of SARS-CoV-2 influenced the thoughts, feelings and health behaviours of people with and without pre-existing health conditions in the UK. METHODS: A cross-sectional online survey of UK adults (aged 18 and over). Free-text responses were analysed using a qualitative framework approach guided by the Common-Sense Model of Self-Regulation. RESULTS: Of the 9110 respondents, 2763 participants provided at least one free-text response. Three main themes were derived from the data. Theme one, locus of control, reports on the extent to which people felt in control during the first wave of the pandemic. Theme two, emotional impact, conveys how individuals felt and how people’s personal circumstances made them more vulnerable to experiencing negative emotions during the pandemic. Theme three, coping strategies, describes common health-protective and health-threatening behaviours performed by individuals, as well as the importance of social connectedness, the social context and the need for collective action during the first national lockdown. CONCLUSION: Complex psychological interventions including behaviour change are required to mitigate the psychological burden of the SARS-CoV-2 pandemic and increase autonomy in people with and without pre-existing conditions during this highly uncertain time. Behavioural scientists can support governments and public health agencies to develop evidence-based communication and behaviour change strategies that support people to address unhelpful beliefs and emotions and strengthen coping abilities as the UK moves through and beyond the SARS-CoV-2 pandemic. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12529-022-10055-z

    Patient perceptions of treatment and illness when prescribed multiple medicines for co-morbid type 2 diabetes

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    Illness and treatment perceptions are vital for people self-managing co-morbid conditions with associated cardiovascular disease, such as type 2 diabetes (T2D). However, perceptions of a co-morbid condition and the use of multiple medicines have yet to be researched. This study investigated the illness and treatment perceptions of people with co-morbid T2D. The Brief Illness Perception Questionnaire (repeated for T2D, hypertension, and hyperlipidemia) and the Beliefs about Medicines Questionnaire Specific Concerns Scales (repeated for Oral hypoglycemic agents, anti-hypertensive medicines, and statins) were sent to 480 people managing co-morbid T2D. Data on the number of medicines prescribed were collected from medical records. Significantly different perceptions were found across the illnesses. The strongest effect was for personal control; the greatest control reported for T2D. Illness perceptions of T2D differed significantly from perceptions about hyperlipidemia. Furthermore, illness perceptions of T2D also differed from perceptions of hypertension with the exception of perceptions of illness severity. Hypertension and hyperlipidemia shared similar perceptions about comprehensibility, concerns, personal control, and timeline. Significant differences were found for beliefs about treatment necessity, but no difference was found for treatment concerns. When the number of medicines was taken as a between-subjects factor, only intentional non-adherence, treatment necessity beliefs, and perceptions of illness timeline were accounted for. Co-morbid illness and treatment perceptions are complex, often vary between illnesses, and can be influenced by the number of medicines prescribed. Further research should investigate relationships between co-morbid illness and treatment perception structures and self-management practices

    A UK online survey exploring patient perspectives of remote consultations for managing psoriasis and psoriatic arthritis during the SARS-CoV-2 pandemic

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    The use of remote consultations via telephone or video can contribute to the management of people with psoriasis and has allowed continuity of patient care throughout the SARS-CoV-2 pandemic, though little is known about the patient experience. The present study aimed to provide insights into the views and experiences of people with psoriasis and psoriatic arthritis on their remote consultations during the SARS-CoV-2 pandemic and develop guidance for patients and healthcare professionals on how to optimise future remote consultations. We conducted a cross-sectional, on-line survey of people with psoriasis and psoriatic arthritis. Data were analysed using descriptive statistics and Thematic Analysis. Overall, 126 people reported experiences of telephone (92%) or video (8%) consultations. Most participants were satisfied with (78%), and were happy for, remote consultations to continue (21%); few were not (5%). Others did not always want remote consultations (39%) and preferred alternating with face-to-face consultations (18%). Some wanted remote care during the pandemic only (17%). Five themes were identified: (1) Advantages of Remote Consultations; (2) Disadvantages of Remote Consultations plus sub-themes (2.1) Practical Issues and (2.2) the Absence of Non-Verbal Cues and Emotions; (3) Serving a Purpose; and (4) A ‘Good’ Remote Consultation; and (5) Advice to Other Patients. Remote consultations form an important part of psoriatic disease management, mainly for routine follow-up appointments in patients with stable disease, and in addition to face-to-face consultations. Additional skills training for clinicians could improve the quality of remote consultations

    Models of Interaction as a Grounding for Peer to Peer Knowledge Sharing

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    Most current attempts to achieve reliable knowledge sharing on a large scale have relied on pre-engineering of content and supply services. This, like traditional knowledge engineering, does not by itself scale to large, open, peer to peer systems because the cost of being precise about the absolute semantics of services and their knowledge rises rapidly as more services participate. We describe how to break out of this deadlock by focusing on semantics related to interaction and using this to avoid dependency on a priori semantic agreement; instead making semantic commitments incrementally at run time. Our method is based on interaction models that are mobile in the sense that they may be transferred to other components, this being a mechanism for service composition and for coalition formation. By shifting the emphasis to interaction (the details of which may be hidden from users) we can obtain knowledge sharing of sufficient quality for sustainable communities of practice without the barrier of complex meta-data provision prior to community formation
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