62 research outputs found

    Experiences of transitioning between settings of care from the perspectives of patients with advanced illness receiving specialist palliative care and their family caregivers: A qualitative interview study

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    Background: Transitions between care settings (hospice, hospital and community) can be challenging for patients and family caregivers and are often an under-researched area of health care, including palliative care. Aim: To explore the experience of transitions between care settings for those receiving specialist palliative care. Design: Qualitative study using thematic analysis. Setting/participants: Semi-structured interviews were conducted with adult patients (n = 15) and family caregivers (n = 11) receiving specialist palliative care, who had undergone at least two transitions. Results: Four themes were identified. (1) Uncertainty about the new care setting. Most participants reported that lack of information about the new setting of care, and difficulties with access and availability of care in the new setting, added to feelings of uncertainty. (2) Biographical disruption. The transition to the new setting often resulted in changes to sense of independence and identity, and maintaining normality was a way to cope with this. (3) Importance of continuity of care. Continuity of care had an impact on feelings of safety in the new setting and influenced decisions about the transition. (4) Need for emotional and practical support. Most participants expressed a greater need for emotional and practical support, when transitioning to a new setting. Conclusions: Findings provide insights into how clinicians might better negotiate transitions for these patients and family caregivers, as well as improve patient outcomes. The complexity and diversity of transition experiences, particularly among patients and families from different ethnicities and cultural backgrounds, need to be further explored in future research

    Perspectives of patients, family caregivers and health professionals on the use of outcome measures in palliative care and lessons for implementation: a multi-method qualitative study

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    Background: Routine use of outcome measures in palliative care is recommended to demonstrate and improve quality of care. The use of outcome measures is relatively recent in UK specialist palliative care services and understanding their use in practice is key to successful implementation. We therefore aimed to explore how patient-centred outcome measures are used in specialist palliative care, and identify key considerations for implementation.Methods: Multi-method qualitative study (semi-structured interviews and non-participant observation). Patients, family caregivers and health professionals were purposively sampled from nine specialist palliative care services (hospice, hospital and community settings) in London, UK. Framework analysis, informed by the Consolidated Framework for Implementation Research (CFIR), was undertaken.Results: Thirty eight interviews and nine observations were conducted. Findings are presented according to the five CFIR domains: 1) Intervention: participants highlighted advantages, disadvantages and appropriateness of outcome measures in palliative care; 2) Outer setting: policy and national drivers are necessary to encourage use of outcome measures; 3) Inner setting: information technology infrastructure, organisational drive, and support from peers and leadership were institutional factors that shaped the use of outcome measures; 4) Individual: clear rationale for using outcome measures and skills to use them in practice were essential; 5) Implementation: stepwise introduction of outcome measures, regular feedback sessions, and champions/facilitators were important to strengthen routine use.Conclusion: All CFIR domains need consideration for effective implementation. Outcome data needs to be fed back to and interpreted for professionals in order to improve and sustain outcome data collection, and drive meaningful improvements in palliative care

    Development and validation of a casemix classification to predict costs of specialist palliative care provision across inpatient hospice, hospital and community settings in the UK: a study protocol

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    Introduction Provision of palliative care is inequitable with wide variations across conditions and settings in the UK. Lack of a standard way to classify by case complexity is one of the principle obstacles to addressing this. We aim to develop and validate a casemix classification to support the prediction of costs of specialist palliative care provision.Methods and analysis Phase I: A cohort study to determine the variables and potential classes to be included in a casemix classification. Data are collected from clinicians in palliative care services across inpatient hospice, hospital and community settings on: patient demographics, potential complexity/casemix criteria and patient-level resource use. Cost predictors are derived using multivariate regression and then incorporated into a classification using classification and regression trees. Internal validation will be conducted by bootstrapping to quantify any optimism in the predictive performance (calibration and discrimination) of the developed classification. Phase II: A mixed-methods cohort study across settings for external validation of the classification developed in phase I. Patient and family caregiver data will be collected longitudinally on demographics, potential complexity/casemix criteria and patient-level resource use. This will be triangulated with data collected from clinicians on potential complexity/casemix criteria and patient-level resource use, and with qualitative interviews with patients and caregivers about care provision across difference settings. The classification will be refined on the basis of its performance in the validation data set.Ethics and dissemination The study has been approved by the National Health Service Health Research Authority Research Ethics Committee. The results are expected to be disseminated in 2018 through papers for publication in major palliative care journals; policy briefs for clinicians, commissioning leads and policy makers; and lay summaries for patients and public

    A framework for complexity in palliative care: A qualitative study with patients, family carers and professionals

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    Background:Palliative care patients are often described as complex but evidence on complexity is limited. We need to understand complexity, including at individual patient-level, to define specialist palliative care, characterise palliative care populations and meaningfully compare interventions/outcomes.Aim:To explore palliative care stakeholders’ views on what makes a patient more or less complex and insights on capturing complexity at patient-level.Design:In-depth qualitative interviews, analysed using Framework analysis.Participants/setting:Semi-structured interviews across six UK centres with patients, family, professionals, managers and senior leads, purposively sampled by experience, background, location and setting (hospital, hospice and community).Results:65 participants provided an understanding of complexity, which extended far beyond the commonly used physical, psychological, social and spiritual domains. Complexity included how patients interact with family/professionals, how services’ respond to needs and societal perspectives on care. ‘Pre-existing’, ‘cumulative’ and ‘invisible’ complexity are further important dimensions to delivering effective palliative and end-of-life care. The dynamic nature of illness and needs over time was also profoundly influential. Adapting Bronfenbrenner’s Ecological Systems Theory, we categorised findings into the microsystem (person, needs and characteristics), chronosystem (dynamic influences of time), mesosystem (interactions with family/health professionals), exosystem (palliative care services/systems) and macrosystem (societal influences). Stakeholders found it acceptable to capture complexity at the patient-level, with perceived benefits for improving palliative care resource allocation.Conclusion:Our conceptual framework encompasses additional elements beyond physical, psychological, social and spiritual domains and advances systematic understanding of complexity within the context of palliative care. This framework helps capture patient-level complexity and target resource provision in specialist palliative care

    Patients’ views on care and their association with outcomes in palliative care

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    When patients face advanced illness, their experience of care is especially important. In palliative care, we often rely on the accounts of bereaved relatives to report the quality of end-of-life care, and there are no validated patient-reported measures of the experience of care. We report therefore on a new questionnaire, Views on Care (VOC), to address this gap. It consists of four questions (see the following link for full questionnaire: www.pos-pal.org) selected/refined from St Christopher’s Index of Patient Priorities (SKIPP), which address patients’ evaluation of (1) change in their main concerns, (2) benefit from palliative services, (3) previous and (4) current quality of life (3 and 4 adapted from EORTC QLQ-C15-PAL – well-validated in advanced illness)

    GWAS Meta-Analysis of Suicide Attempt: Identification of 12 Genome-Wide Significant Loci and Implication of Genetic Risks for Specific Health Factors

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    Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans

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    Genome-wide association studies (GWAS) have identified numerous common prostate cancer (PrCa) susceptibility loci. We have fine-mapped 64 GWAS regions known at the conclusion of the iCOGS study using large-scale genotyping and imputation in 25 723 PrCa cases and 26 274 controls of European ancestry. We detected evidence for multiple independent signals at 16 regions, 12 of which contained additional newly identified significant associations. A single signal comprising a spectrum of correlated variation was observed at 39 regions; 35 of which are now described by a novel more significantly associated lead SNP, while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in Europeans that had been previously reported only in East-Asian GWAS. Based on statistical evidence and linkage disequilibrium (LD) structure, we have curated and narrowed down the list of the most likely candidate causal variants for each region. Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant enrichment for overlap with bio-features within this set. By incorporating the novel risk variants identified here alongside the refined data for existing association signals, we estimate that these loci now explain ∼38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reported GWAS tag SNPs. This suggests that a significant fraction of the heritability of PrCa may have been hidden during the discovery phase of GWAS, in particular due to the presence of multiple independent signals within the same regio

    Analysis of shared common genetic risk between amyotrophic lateral sclerosis and epilepsy

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    Because hyper-excitability has been shown to be a shared pathophysiological mechanism, we used the latest and largest genome-wide studies in amyotrophic lateral sclerosis (n = 36,052) and epilepsy (n = 38,349) to determine genetic overlap between these conditions. First, we showed no significant genetic correlation, also when binned on minor allele frequency. Second, we confirmed the absence of polygenic overlap using genomic risk score analysis. Finally, we did not identify pleiotropic variants in meta-analyses of the 2 diseases. Our findings indicate that amyotrophic lateral sclerosis and epilepsy do not share common genetic risk, showing that hyper-excitability in both disorders has distinct origins
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