A national survey exploring views and experience of health professionals about transferring patients from critical care home to die.

BACKGROUND: Transferring critically ill patients home to die is poorly explored in the literature to date. This practice is rare, and there is a need to understand health care professionals' (HCP) experience and views. OBJECTIVES: To examine (1) HCPs' experience of transferring patients home to die from critical care, (2) HCPs' views about transfer and (3) characteristics of patients, HCPs would hypothetically consider transferring home to die. DESIGN: A national study developing a web-based survey, which was sent to the lead doctors and nurses in critical care units. SETTING/PARTICIPANTS: Lead doctors and senior nurses (756 individuals) working in 409 critical care units across the United Kingdom were invited to participate in the survey. RESULTS: In total, 180 (23.8%) completed surveys were received. A total of 65 (36.1%) respondents had been actively involved in transferring patients home to die and 28 (15.5%) had been involved in discussions that did not lead to transfer. Respondents were supportive of the idea of transfer home to die (88.8%). Patients identified by respondents as unsuitable for transfer included unstable patients (61.8%), intubated and ventilated patients (68.5%) and patients receiving inotropes (65.7%). There were statistically significant differences in views between those with and without experience and between doctors and nurses. Nurses and those with experience tended to have more positive views. CONCLUSION: While transferring patients home to die is supported in critical care, its frequency in practice remains low. Patient stability and level of intervention are important factors in decision-making in this area. Views held about this practice are influenced by previous experience and the professional role held

A systematic review evaluating the psychometric properties of measures of social inclusion

Introduction: Improving social inclusion opportunities for population health has been identified as a priority area for international policy. There is a need to comprehensively examine and evaluate the quality of psychometric properties of measures of social inclusion that are used to guide social policy and outcomes. Objective: To conduct a systematic review of the literature on all current measures of social inclusion for any population group, to evaluate the quality of the psychometric properties of identified measures, and to evaluate if they capture the construct of social inclusion. Methods: A systematic search was performed using five electronic databases: CINAHL, PsycINFO, Embase, ERIC and Pubmed and grey literature were sourced to identify measures of social inclusion. The psychometric properties of the social inclusion measures were evaluated against the COSMIN taxonomy of measurement properties using pre-set psychometric criteria. Results: Of the 109 measures identified, twenty-five measures, involving twenty-five studies and one manual met the inclusion criteria. The overall quality of the reviewed measures was variable, with the Social and Community Opportunities Profile-Short, Social Connectedness Scale and the Social Inclusion Scale demonstrating the strongest evidence for sound psychometric quality. The most common domain included in the measures was connectedness (21), followed by participation (19); the domain of citizenship was covered by the least number of measures (10). No single instrument measured all aspects within the three domains of social inclusion. Of the measures with sound psychometric evidence, the Social and Community Opportunities Profile-Short captured the construct of social inclusion best. Conclusions: The overall quality of the psychometric properties demonstrate that the current suite of available instruments for the measurement of social inclusion are promising but need further refinement. There is a need for a universal working definition of social inclusion as an overarching construct for ongoing research in the area of the psychometric properties of social inclusion instruments

Saturation in qualitative research: exploring its conceptualization and operationalization

Deposited on 20 October 2017 in Keele University Repository at: http://eprints.keele.ac.uk/4122/Saturation has attained widespread acceptance as a methodological principle in qualitative research. It is commonly taken to indicate that, on the basis of the data that have been collected or analysed hitherto, further data collection and/or analysis are unnecessary. However, there appears to be uncertainty as to how saturation should be conceptualized, and inconsistencies in its use. In this paper, we look to clarify the nature, purposes and uses of saturation, and in doing so add to theoretical debate on the role of saturation across different methodologies.Weidentify four distinct approaches to saturation, which differ in terms of the extent to which an inductive or a deductive logic is adopted, and the relative emphasis on data collection, data analysis, and theorizing. We explore the purposes saturation might serve in relation to these different approaches, and the implications for how and when saturation will be sought. In examining these issues, we highlight the uncertain logic underlying saturation- as essentially a predictive statement about the unobserved based on the observed, a judgement that, we argue, results in equivocation, and may in part explain the confusion surrounding its use.Weconclude that saturation should be operationalized in a way that is consistent with the research question(s), and the theoretical position and analytic framework adopted, but also that there should be some limit to its scope, so as not to risk saturation losing its coherence and potency if its conceptualization and uses are stretched too widely.sch_die52pub5265pub

Development of the Asystolic Predication Score: A tool to assist shared decision making, in DCD donation through prediction of time to asystole following withdrawal of life sustaining treatment

The aim of this study was to develop and validate a clinical tool to calculate the probabilities of asystole following withdrawal of life-sustaining treatment (WLST) in potential donation after circulatory death (DCD) donors in the United Kingdom, which is imperative to shared decision-making. A two-stage prospective observational cohort study was undertaken in multi-centre mixed and neurological adult intensive care units in the United Kingdom. One hundred and sixty three potential DCD donors who underwent WLST were included in this study between 2010-2011. An asystole prediction-scoring (APS) tool incorporating clinical variables, assimilated to a score on the basis of derived severity was validated. Data were collected at two time points: initial referral and 60 minutes prior to WLST. Cox regression analysis determined overall probabilities of asystole following WLST. Cox regression demonstrated statistically significant (p<0.05) probabilities of asystole using the APS tool. Probabilities of asystole were produced for time points between 0 and 240 minutes. Lower scores have a low probability of asystole occurring within 180 minutes while higher scores have a high probability of asystole occurring at all time points. Potential donors with APS total scores greater than 30 all died within 180 minutes of WLST. The APS tool provides important information on the likelihood of asystole within defined time lines. This ability to predict time lines could be used by clinicians in decision-making in referring potential DCD donors, and through sharing probabilities of donation occurring with family members thereby facilitating shared decision-making to underpin informed consent