Monitoring what is real: The effects of modality and action on accuracy and type of reality monitoring error.

Reality monitoring refers to processes involved in distinguishing internally generated information from information presented in the external world, an activity thought to be based, in part, on assessment of activated features such as the amount and type of cognitive operations and perceptual content. Impairment in reality monitoring has been implicated in symptoms of mental illness and associated more widely with the occurrence of anomalous perceptions as well as false memories and beliefs. In the present experiment, the cognitive mechanisms of reality monitoring were probed in healthy individuals using a task that investigated the effects of stimulus modality (auditory vs visual) and the type of action undertaken during encoding (thought vs speech) on subsequent source memory. There was reduced source accuracy for auditory stimuli compared with visual, and when encoding was accompanied by thought as opposed to speech, and a greater rate of externalization than internalization errors that was stable across factors. Interpreted within the source monitoring framework (Johnson, Hashtroudi, & Lindsay, 1993), the results are consistent with the greater prevalence of clinically observed auditory than visual reality discrimination failures. The significance of these findings is discussed in light of theories of hallucinations, delusions and confabulation.JRG was supported by a University of Cambridge Behavioural and Clinical Neuroscience Institute studentship, funded by a joint award from the UK Medical Research Council and the Wellcome Trust. JSS was supported by a James S. McDonnell Foundation Scholar award.This is the final version of the article. It first appeared from Elsevier via https://doi.org/10.1016/j.cortex.2016.06.01

Measuring quality in community nursing: A mixed methods study

AbstractBackgroundHigh-quality nursing care is crucial for patients with complex conditions and co-morbidities living at home, but such care is largely invisible to health planners and managers. Nursing care quality in acute settings is typically measured using a range of different quality measures; however, little is known about how service quality is measured in community nursing.ObjectiveTo establish which quality indicators are selected for community nursing; how these are selected and applied; and their usefulness to service users (patients and/or carers), commissioners and provider staff.DesignA mixed-methods study comprising three phases:1)A national survey of ‘Commissioning for Quality and Innovation’ indicators applied to community nursing care in 2014/2015. Data were analysed descriptively using SPSS 20.0.2)In-depth case study in five sites. Qualitative data were collected through observations, interviews, focus groups and documents. Thematic analysis was conducted using QSR NVivo 10.Findings from the first two phases were synthesised using a theoretical framework to examine how local and distal contexts affecting care provision impacted on selection and application of quality indicators for community nursing.3)Validity testing the findings and associated draft good practice guidance through a series of stakeholder engagement events held in venues across England.SettingThe national survey was conducted by telephone and e-mail. Each case study site comprised a Clinical Commissioning Group (CCG) and its associated provider of community nursing services.ParticipantsSurvey: 145 (68.7%) CCGs across England.Case study: NHS England national and regional quality leads (n=5); commissioners (n=19); provider managers (n=32); registered community nurses (n=45); adult patients (n=14) receiving care in their own homes and/or carers (n=7).FindingsA wide range of indicators was used nationally, with a major focus on organisational processes.Lack of nurse and service user involvement in indicator selection processes impacted negatively on their application and perceived usefulness. Indicator data collection was hampered by problematic IT software and connectivity and inter-organisational system incompatibility. Frontline staff considered indicators designed for acute settings inappropriate for use in community settings. Indicators did not reflect aspects of care such as time spent, kindness and respect, highly valued by frontline staff and service user participants.Workshop delegates (commissioners, provider managers, frontline staff and service users, n=242) endorsed the findings and draft good practice guidance.LimitationsOn-going service re-organisation during the study period affected access to participants in some sites. Limited available data precluded in-depth documentary analysis.ConclusionsCurrent quality indicators for community nursing are of limited use:Commissioners and provider managers should ensure that service users and frontline staff are involved in identifying and selecting indicators.Difficulties with connectivity and compatibility should be resolved before rolling new IT packages out into practice.Quality measures designed for acute settings should not be applied in community settings without modification.A mix of qualitative and quantitative methods should be used to determine service qualityFuture workResearch investigating appropriate modifications and associated costs of administering quality indicator schemes in integrated care settings.Funding detailsThe study was funded by the NIHR Health Service and Delivery Research programme

Using contractual incentives in district nursing in the English NHS: results from a qualitative study

© 2018 The author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Since 2008, health policy in England has been focusing increasingly on improving quality in healthcare services. To ensure quality improvements in community nursing, providers are required to meet several quality targets, including an incentive scheme known as Commissioning for Quality and Innovation (CQUIN). This paper reports on a study of how financial incentives are used in district nursing, an area of care which is particularly difficult to measure and monitor

How do they measure up? Differences in stakeholder perceptions of quality measures used in English community nursing

© The Author(s) 2019. Objectives: To establish how quality indicators used in English community nursing are selected and applied, and their perceived usefulness to service users, commissioners and service providers. Methods: A qualitative multi-site case study was conducted with five commissioning organizations and their service providers. Participants included commissioners, provider organization managers, nurses and service users. Results: Indicator selection and application often entail complex processes influenced by wider health system and cross-organizational factors. All participants felt that current indicators, while useful for accountability and management purposes, fail to reflect the true quality of community nursing care and may sometimes indirectly compromise care. Conclusions: Valuable resources may be better used for comprehensive system redesign, to ensure that patient, carer and nurse priorities are given equivalence with those of other stakeholders

Identification of genetic variants associated with Huntington's disease progression: a genome-wide association study

Background Huntington's disease is caused by a CAG repeat expansion in the huntingtin gene, HTT. Age at onset has been used as a quantitative phenotype in genetic analysis looking for Huntington's disease modifiers, but is hard to define and not always available. Therefore, we aimed to generate a novel measure of disease progression and to identify genetic markers associated with this progression measure. Methods We generated a progression score on the basis of principal component analysis of prospectively acquired longitudinal changes in motor, cognitive, and imaging measures in the 218 indivduals in the TRACK-HD cohort of Huntington's disease gene mutation carriers (data collected 2008–11). We generated a parallel progression score using data from 1773 previously genotyped participants from the European Huntington's Disease Network REGISTRY study of Huntington's disease mutation carriers (data collected 2003–13). We did a genome-wide association analyses in terms of progression for 216 TRACK-HD participants and 1773 REGISTRY participants, then a meta-analysis of these results was undertaken. Findings Longitudinal motor, cognitive, and imaging scores were correlated with each other in TRACK-HD participants, justifying use of a single, cross-domain measure of disease progression in both studies. The TRACK-HD and REGISTRY progression measures were correlated with each other (r=0·674), and with age at onset (TRACK-HD, r=0·315; REGISTRY, r=0·234). The meta-analysis of progression in TRACK-HD and REGISTRY gave a genome-wide significant signal (p=1·12 × 10−10) on chromosome 5 spanning three genes: MSH3, DHFR, and MTRNR2L2. The genes in this locus were associated with progression in TRACK-HD (MSH3 p=2·94 × 10−8 DHFR p=8·37 × 10−7 MTRNR2L2 p=2·15 × 10−9) and to a lesser extent in REGISTRY (MSH3 p=9·36 × 10−4 DHFR p=8·45 × 10−4 MTRNR2L2 p=1·20 × 10−3). The lead single nucleotide polymorphism (SNP) in TRACK-HD (rs557874766) was genome-wide significant in the meta-analysis (p=1·58 × 10−8), and encodes an aminoacid change (Pro67Ala) in MSH3. In TRACK-HD, each copy of the minor allele at this SNP was associated with a 0·4 units per year (95% CI 0·16–0·66) reduction in the rate of change of the Unified Huntington's Disease Rating Scale (UHDRS) Total Motor Score, and a reduction of 0·12 units per year (95% CI 0·06–0·18) in the rate of change of UHDRS Total Functional Capacity score. These associations remained significant after adjusting for age of onset. Interpretation The multidomain progression measure in TRACK-HD was associated with a functional variant that was genome-wide significant in our meta-analysis. The association in only 216 participants implies that the progression measure is a sensitive reflection of disease burden, that the effect size at this locus is large, or both. Knockout of Msh3 reduces somatic expansion in Huntington's disease mouse models, suggesting this mechanism as an area for future therapeutic investigation