Validation of a Tamil Version of the Five Facet Mindfulness Questionnaire Using Rasch Analysis.

Background: Various assessment tools that explore and assess mindfulness are available. Keeping in view both the origin of and the literature surrounding mindfulness assessment tools, this study aimed to evaluate the workability of one widely researched tool, the Five Facet Mindfulness Questionnaire (FFMQ), for establishing cross-cultural generalizability and utility in the Indian context. Methods: We recruited 303 adults over 18 with proficiency in the Tamil language and no history of significant neurological trauma and/or psychiatric history. They completed a version of the 39-item FFMQ, which we had translated into Tamil (FFMQ-T). The psychometric properties of this scale were tested using the Partial-Credit model of Rasch analysis. Results: Iterative Rasch analysis could not resolve consistent misfit of the Observe facet items. Using a subtest approach, a higher-order fit of the FFMQ-T could be achieved after the deletion of additional items from each of the remaining four facets. The resulting final model for the FFMQ-T questionnaire was a four-factor solution with 22 items. Conclusions: This study concluded the usability of the new 22-item FFMQ-T. These results are not dissimilar to the other versions in similar populations, such as the Hindi version of the FFMQ. The ordinal-to-interval conversion tables provided here ensure that the FFMQ-T can be used with enhanced precision and parametric statistics.

Empowering Pacific Patients on the Weight Loss Surgery Pathway: A Co-designed Evaluation Study.

PURPOSE: Despite having the highest medical needs by population for weight loss treatment, Pacific patients in Aotearoa New Zealand face substantial levels of attrition in publicly funded weight loss surgery programs. In collaboration with the Auckland City Hospital bariatric surgery team, a Pacific-led preoperative weight loss surgery program was co-designed, delivered, and evaluated between 2020 and 2023. MATERIALS AND METHODS: This was a single-arm, prospective co-designed evaluation study that took place at Auckland City Hospital in Aotearoa New Zealand. Participants were Pacific patients (n = 14) referred to the weight loss surgery program. Survey and video diaries were analyzed to determine if the program had the potential to increase Pacific patient retention through the preoperative stage of weight loss surgery, increase surgery completion rates, and improve the quality of treatment experiences. RESULTS: Nine out of 14 participants attended all preoperative sessions. Six participants subsequently underwent weight loss surgery. Program components that had positive impacts on patient success and satisfaction were accessibility, information quality, having Pacific role models, cultural safety, and the group support system. The patients found the program to be culturally anchored and there was support for the implementation of the program going forward. CONCLUSION: This study demonstrated how a culturally anchored intervention can increase patient retention for those patients who may not respond to mainstream treatment. Adjusting existing preoperative weight loss surgery programs to integrate Pacific-led models of healthcare has the potential to increase Pacific patient resiliency to follow through with surgery.

Centrality statistics of symptom networks of schizophrenia: a systematic review.

The network theory of psychological disorders posits that systems of symptoms cause, or are associated with, the expression of other symptoms. Substantial literature on symptom networks has been published to date, although no systematic review has been conducted exclusively on symptom networks of schizophrenia, schizoaffective disorder, and schizophreniform (people diagnosed with schizophrenia; PDS). This study aims to compare statistics of the symptom network publications on PDS in the last 21 years and identify congruences and discrepancies in the literature. More specifically, we will focus on centrality statistics. Thirty-two studies met the inclusion criteria. The results suggest that cognition, and social, and occupational functioning are central to the network of symptoms. Positive symptoms, particularly delusions were central among participants in many studies that did not include cognitive assessment. Nodes representing cognition were most central in those studies that did. Nodes representing negative symptoms were not as central as items measuring positive symptoms. Some studies that included measures of mood and affect found items or subscales measuring depression were central nodes in the networks. Cognition, and social, and occupational functioning appear to be core symptoms of schizophrenia as they are more central in the networks, compared to variables assessing positive symptoms. This seems consistent despite heterogeneity in the design of the studies.

Understanding suicidality in Pacific adolescents in New Zealand using network analysis.

INTRODUCTION: Pacific adolescents in New Zealand (NZ) are three to four times more likely than NZ European adolescents to report suicide attempts and have higher rates of suicidal plans. Suicidal thoughts, plans, and attempts, termed suicidality in this study, result from a complex dynamic interplay of factors, which emerging methodologies like network analysis aim to capture. METHODS: This study used cross-sectional network analysis to model the relationships between suicidality, self-harm, and individual depression symptoms, whilst conditioning on a multi-dimensional set of variables relevant to suicidality. A series of network models were fitted to data from a community sample of New Zealand-born Pacific adolescents (n = 550; 51% male; Mean age (SD) = 17 (0.35)). RESULTS: Self-harm and the depression symptom measuring pessimism had the strongest associations with suicidality, followed by symptoms related to having a negative self-image about looks and sadness. Nonsymptom risk factors for self-harm and suicidality differed markedly. CONCLUSIONS: Depression symptoms varied widely in terms of their contribution to suicidality, highlighting the valuable information gained from analysing depression at the symptom-item level. Reducing the sources of pessimism and building self-esteem presented as potential targets for alleviating suicidality amongst Pacific adolescents in New Zealand. Suicide prevention strategies need to include risk factors for self-harm.

Wellbeing measures for workers: a systematic review and methodological quality appraisal.

Introduction: Increasing attention on workplace wellbeing and growth in workplace wellbeing interventions has highlighted the need to measure workers' wellbeing. This systematic review sought to identify the most valid and reliable published measure/s of wellbeing for workers developed between 2010 to 2020. Methods: Electronic databases Health and Psychosocial Instruments, APA PsycInfo, and Scopus were searched. Key search terms included variations of [wellbeing OR "well-being"] AND [employee* OR worker* OR staff OR personnel]. Studies and properties of wellbeing measures were then appraised using Consensus-based Standards for the selection of health Measurement Instruments. Results: Eighteen articles reported development of new wellbeing instruments and eleven undertook a psychometric validation of an existing wellbeing instrument in a specific country, language, or context. Generation and pilot testing of items for the 18 newly developed instruments were largely rated 'Inadequate'; only two were rated as 'Very Good'. None of the studies reported measurement properties of responsiveness, criterion validity, or content validity. The three instruments with the greatest number of positively rated measurement properties were the Personal Growth and Development Scale, The University of Tokyo Occupational Mental Health well-being 24 scale, and the Employee Well-being scale. However, none of these newly developed worker wellbeing instruments met the criteria for adequate instrument design. Discussion: This review provides researchers and clinicians a synthesis of information to help inform appropriate instrument selection in measurement of workers' wellbeing. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=79044, identifier: PROSPERO, CRD42018079044.

Measuring the missing: Knowledge, risk perceptions and self-protection practices of COVID-19 among the Asian population in New Zealand: An online survey.

Aim: Asians are the second largest and fastest growing non-European population in New Zealand but are under-researched in terms of their COVID-19 pandemic response. The paper aims to illustrates Asians' risk perceptions and knowledge of COVID-19, and self-protection practices to avoid infection and prevent community transmission. Subject and methods: An online survey was used to collect data and received 402 valid responses. Data analyses included: 1) a descriptive analysis by using Chi-square tests and a Kruskal-Wallis rank sum tests to explore associations between responses and the four demographic variables (i.e. age, gender, country of origin/ethnicity, and region); and 2) a correlation analysis between different survey objectives. Results: The descriptive analysis of the survey found that while ethnicity (within the Asian category) was the most influential variable that resulted in varying responses to many questions, gender and age were other two important variables in influencing the answering patterns. The correlation analysis found a positive correlation between the perceived 'dangerousness' of COVID-19 and respondents' overall compliance behaviour to New Zealand authorities' recommendations to prevent spread of COVID-19. Conclusion: The majority of the respondents provided correct answers to the questions about the vulnerable populations, symptoms, asymptomatic transmission and potential sequelae of COVID-19; however, their understanding of the availability of a cure for, and the incubation period of COVID-19 was not consistent with the official information. The research also found that the higher perceived dangerousness of COVID-19, the better compliance to self-protection practices among the surveyed population.

Validation of the Music Therapy Assessment Tool for Awareness in Disorders of Consciousness With the Coma Recovery Scale-Revised.

OBJECTIVE: To examine (1) the concurrent validity of the Music Therapy Assessment Tool for Awareness in Disorders of Consciousness (MATADOC) with the criterion standard Coma Recovery Scale-Revised (CRS-R) for outcomes of awareness in patients with prolonged disorders of consciousness (PDoC), (2) the relationship between MATADOC items and CRS-R function subscales in similar domains, and (3) determine if items/function subscales measure different constructs. DESIGN: A prospective multicentric blinded study with repeated concurrent measures. SETTING: Three inpatient rehabilitation units. PARTICIPANTS: Convenience sample of 74 adults with PDoC (N=74). MAIN OUTCOME MEASURES: The MATADOC protocol elicits behavioral responsiveness using live music in 5 tasks. A total score ranges 0-10 scoring behaviors across 14-items. The CRS-R uses a language-based protocol and scores observed responses ranging from 0-23 in 6 function subscales. Both measures were delivered at 4 concurrent time points over 2 weeks. RESULTS: Fair (κ=0.238, P=.006) ranging to moderate (κ=0.419, P<.001) significant agreement was found between CRS-R and MATADOC diagnostic outcomes. Fair-borderline moderate significant agreement was found for overall diagnostic outcomes across all diagnostic categories (κ=0.397, P=.001). There was moderate significant agreement between measures for motor scores (0.551≤κ≤0.571, P<.001) and visual outcomes (0.192≤κ≤0.415, .001≤P<.005) but no agreement for item/function subscale outcomes assessing auditory responsiveness. Exploratory factor analysis of all items showed 2 factors, suggesting that MATADOC and CRS-R measure the same underlying latent variable (awareness) in different ways and could complement each other for diagnosis and intervention purposes. This was supported by scale analysis, which showed increased reliability when the 2 scales are used together rather than separately. CONCLUSIONS: Unlike the CRS-R, the music-based MATADOC scores auditory localization for complexity of response and categorizes these behaviors as conscious rather than reflexive. The MATADOC may supplement the CRS-R, having a particular role in interdisciplinary programming for providing a more robust assessment of auditory responsiveness because of using nonverbal musical stimuli.

Fear avoidance and return to work after mild traumatic brain injury.

OBJECTIVES: Fear avoidance is associated with symptom persistence after mild traumatic brain injury (mTBI). In this study, we investigated whether fear avoidance was associated with other outcomes such as return to work-related activity (RTW). MATERIALS AND METHODS: We analyzed associations between fear avoidance and RTW 6-9 months after mTBI, in two merged prospective mTBI cohorts. Adult participants aged 16 or over (n=175), presenting to outpatient services in New Zealand within 3 months of their injury, who were engaged in work-related activity at the time of injury, were included. Participants completed the Fear Avoidance Behavior after Traumatic Brain Injury (FAB-TBI) questionnaire at enrollment and 6 months later. Associations between FAB-TBI scores and RTW outcome were analyzed using multivariate approaches. RESULTS: Overall, 53% of participants had RTW by 6-9 months after mTBI. While early fear avoidance was weakly associated with RTW, persistent high fear avoidance between study assessments or increasing avoidance with time were associated with greater odds of still being off work 6-9 months after injury. CONCLUSIONS: Pervasive and increasing avoidance of symptom triggers after mTBI were associated with lower rates of RTW 6-9 months after mTBI. Further research is needed to better understand transition points along the recovery trajectory where fear avoidance behaviors fade or increase after mTBI.

Machine learning and network analysis for diagnosis and prediction in disorders of consciousness.

BACKGROUND: Prolonged Disorders of Consciousness (PDOC) resulting from severe acquired brain injury can lead to complex disabilities that make diagnosis challenging. The role of machine learning (ML) in diagnosing PDOC states and identifying intervention strategies is relatively under-explored, having focused on predicting mortality and poor outcome. This study aims to: (a) apply ML techniques to predict PDOC diagnostic states from variables obtained from two non-invasive neurobehavior assessment tools; and (b) apply network analysis for guiding possible intervention strategies. METHODS: The Coma Recovery Scale-Revised (CRS-R) is a well-established tool for assessing patients with PDOC. More recently, music has been found to be a useful medium for assessment of coma patients, leading to the standardization of a music-based assessment of awareness: Music Therapy Assessment Tool for Awareness in Disorders of Consciousness (MATADOC). CRS-R and MATADOC data were collected from 74 PDOC patients aged 16-70 years at three specialist centers in the USA, UK and Ireland. The data were analyzed by three ML techniques (neural networks, decision trees and cluster analysis) as well as modelled through system-level network analysis. RESULTS: PDOC diagnostic state can be predicted to a relatively high level of accuracy that sets a benchmark for future ML analysis using neurobehavioral data only. The outcomes of this study may also have implications for understanding the role of music therapy in interdisciplinary rehabilitation to help patients move from one coma state to another. CONCLUSIONS: This study has shown how ML can derive rules for diagnosis of PDOC with data from two neurobehavioral tools without the need to harvest large clinical and imaging datasets. Network analysis using the measures obtained from these two non-invasive tools provides novel, system-level ways of interpreting possible transitions between PDOC states, leading to possible use in novel, next-generation decision-support systems for PDOC.

Stigmatising and Racialising COVID-19: Asian People's Experience in New Zealand.

The Asian community - the second largest non-European ethnic community in New Zealand - plays an important role in combatting the COVID-19 pandemic, evidenced by their active advocation for border control and mass masking. Despite the long history of racial discrimination against the Asian population, the Asian community has experienced certain degrees of racial discrimination associated with the stigmatisation as the cause of the COVID-19 outbreak in New Zealand. Based on data from a quantitative online survey with 402 valid responses within the Asian communities across New Zealand and the in-depth interviews with 19 Asian people in Auckland, New Zealand, this paper will illustrate Asian people's experience of racial discrimination and stigmatisation during the pandemic in the country. The survey shows that since the outbreak of COVID-19, under a quarter of the participants reported experiencing discrimination, and a third reported knowing an immediate contact who had experienced discrimination. However, when looking beyond their immediate social circle, an even higher proportion reported noticing racism and stigmatisation through the traditional or social media due to COVID-19. Major variations of the degree of racial discrimination experienced are determined by three demographic variables: ethnicity, age, and region. The in-depth interviews largely echoed the survey findings and highlighted a strong correlation between the perceived racial discrimination among the local Asian community and the stigmatisation associated with COVID-19. These findings are important for improving the way we manage future pandemics and other disasters within the context of the UN Sendai Framework for Disaster Risk Reduction.

Symptom clusters, associated factors and health-related quality of life in patients with chronic obstructive pulmonary disease: A structural equation modelling analysis.

AIMS AND OBJECTIVES: To identify symptom clusters and develop a symptom cluster model among people living with chronic obstructive pulmonary disease (COPD). BACKGROUND: The examination of symptom clusters in COPD patients is an emerging field of scientific inquiry directed towards symptom management. However, no studies have modelled the relationships among symptom clusters, associated factors and health-related quality of life. DESIGN: A cross-sectional design with convenience sampling following STROBE guidelines. METHODS: Data were collected from 450 COPD participants in three university teaching hospitals. Participants were invited to complete a structured questionnaire comprised of a socio-demographic/clinical questionnaire, Integrated Palliative Care Outcome Scale and Clinical Respiratory Questionnaire. Exploratory factor analysis and confirmatory factor analysis were used to identify symptom clusters. Structural equation modelling was used to examine the proposed model. RESULTS: The respiratory related symptom cluster, psychological symptom cluster and cough-insomnia related symptom cluster were identified. The final model demonstrated a good fit with the data. Gender, stage of disease and monthly income were significant factors associated with symptom clusters. Respiratory related and cough-insomnia related symptom clusters had a direct negative impact on health-related quality of life, while the psychological symptom cluster was found to have a direct and indirect negative effect on health-related quality of life. CONCLUSIONS: Final COPD symptom cluster model should serve as a framework to guide intervention research targeting symptom clusters to improve health-related quality of life of people living with COPD. RELEVANCE TO CLINICAL PRACTICE: Nurses should be especially attuned to identify those at most risk of facing a higher symptom burden in this case those who are female, have advanced stage COPD and/or lower income. During the clinical symptom assessment, nurses should pay attention to the close relationships among symptoms within a cluster to identify any 'trigger' symptom that could cause the development or exacerbation of other symptoms.

Depression, anxiety and worry in young Pacific adults in New Zealand during the COVID-19 pandemic.

OBJECTIVE: To measure symptoms of anxiety, depression and hopelessness in a sample of young Pacific adults living in Auckland, New Zealand during the 2020/2021 COVID-19 pandemic and identify protective factors. METHODS: Participants were 267 Pacific adults (58% female) who completed a survey online. Analyses included descriptive statistics, correlations, linear regression and symptom network analysis. RESULTS: Around 25% of the sample scored in the range for moderate to severe anxiety and 10% for moderate to severe depression on standard measures. Almost 40% indicated that they found the first lockdown very stressful and 55% noted that some members of their family found it stressful. Only 16% worried about COVID-19 and their future quite a bit or constantly, while another 25% worried sometimes. Self-compassion and Pacific Identity had moderate, negative correlations, and Worry about COVID-19 had weak positive correlations, with anxiety, depression, hopelessness and perceived stress. CONCLUSION: These results suggest that, while the prevalence of depression and anxiety are quite high among this population, fostering ethnic identity and self-compassion in Pacific children and adolescents might protect against developing depression and anxiety.

Prolonged disorders of consciousness: identification using the UK FIM + FAM and cohort analysis of outcomes from a UK national clinical database.

PURPOSE: 1: To determine whether Total UK FIM + FAM scores can identify patients in VS/MCS. 2: Using the identified cut-off points, to examine outcomes from specialist rehabilitation. METHODS: Part 1: Retrospective analysis of a consecutive clinical cohort (n = 388) presenting to a single specialist PDOC evaluation programme 2007-2021. FIM + FAM scores were analysed by PDOC diagnosis to define cut-off points for vegetative (VS) and minimally conscious states (MCS). Part 2: Multicentre cohort analysis of prospectively-collected clinical outcomes data from the UK Rehabilitation Outcomes Collaborative database of adults in PDOC registered 2011-2020 (n = 2384 in 68 centres). RESULTS: Cut-off points of ≤31 and 32-35 in FIM + FAM total scores respectively identified patients in VS/MCS-Minus and MCS-Plus. Approximately 365 PDOC patients are admitted to specialist rehabilitation units in England each year. By discharge, 43% have emerged into consciousness and demonstrate a wide range of disability. A few reached full independence, but the majority remained severely dependent. Nevertheless, those who emerged generated mean net life-time savings of over £436,000 (£400 million for this cohort). CONCLUSION: In absence of a dedicated PDOC registry, FIM + FAM scores can identify patients in VS/MCS at population level. Identifying those who emerge and providing timely rehabilitation generates cost-savings well-exceeding the cost of the evaluation/rehabilitation programme.Implications for rehabilitationThe UK National Health Service currently collects no systematic data to identify patients in PDOC, so we have no accurate information on how many patients there are, where they are managed or what their outcomes are.In the absence of more direct data, total FIM + FAM scores of < =31 and 32-35 respectively can be used to identify patients in vegetative and minimally conscious states.Of the 365 or so patients admitted to specialist rehabilitation units per year, 43% emerge into consciousness leaving about 150 patients per year in PDOC states that are likely to be permanent.Identifying those who emerge and providing timely rehabilitation generates cost-savings that pay for the entire PDOC evaluation/rehabilitation programme many times over.

General well-being of intensive care nurses: A prototype analysis.

BACKGROUND: Prototype analyses of well-being have identified central characteristics and prototypicality for New Zealand teachers, lawyers, adolescents, and work well-being of nurses. What has not yet been explored is the broad construct of well-being in intensive care nurses. AIMS: To identify intensive care nurses' conceptions of general well-being and investigate whether their general well-being is prototypically organized. DESIGN: Prototype analysis. METHODS: Three linked studies conceptualize well-being in this prototype analysis. In study 1, nurses reported features of well-being. Study 2 investigated the organization of these features. Study 3 sought confirmation of prototypical organization. RESULTS: Sixty-five New Zealand nurses participated. For study 1 (n = 23), the most frequently reported elements of well-being included physical health (n = 26), work-life balance (n = 20), and personal relationships (n = 18). For study 2 (n = 25), the highest rated elements included mental and emotional health, [general] health, work-life balance, and love. Work-life balance, physical health, and personal relationships were in the top five most frequently reported and were rated in the top 12 most central. Overall, ratings of centrality and the number of times reported were positively correlated (r = 0.33, P < .005). For study 3 (n = 17), confirmatory analyses did not reach statistical significance (P = .15). CONCLUSIONS: Physical health, work-life balance, and personal relationships are key characteristics of well-being for intensive care nurses. Mental, emotional, and general health and work-life balance were considered most important for well-being. RELEVANCE TO CLINICAL PRACTICE: Physical health, work-life balance, and personal relationships are key characteristics of well-being for intensive care nurses. These characteristics of the broad construct of well-being are helpful in both defining and identifying conceptual models of well-being that may be used to inform the development and measurement of well-being programmes.

Prediction of emergence from prolonged disorders of consciousness from measures within the UK rehabilitation outcomes collaborative database: a multicentre analysis using machine learning.

PURPOSE: Predicting emergence from prolonged disorders of consciousness (PDOC) is important for planning care and treatment. We used machine learning to examine which variables from routine clinical data on admission to specialist rehabilitation units best predict emergence by discharge. MATERIALS AND METHODS: A multicentre national cohort analysis of prospectively collected clinical data from the UK Rehabilitation Outcomes (UKROC) database 2010-2018. Patients (n = 1170) were operationally defined as "still in PDOC" or "emerged" by their total UK Functional Assessment Measure (FIM + FAM) discharge score. Variables included: Age, aetiology, length of stay, time since onset, and all items of the Neurological Impairment Scale, Rehabilitation Complexity Scale, Northwick Park Dependency Scale, and the Patient Categorisation Tool. After filtering, prediction of emergence was explored using four techniques: binary logistic regression, linear discriminant analysis, artificial neural networks, and rule induction. RESULTS: Triangulation through these techniques consistently identified characteristics associated with emergence from PDOC. More severe motor impairment, complex disability, medical and behavioural instability, and anoxic aetiology were predictive of non-emergence, whereas those with less severe motor impairment, agitated behaviour and complex disability were predictive of emergence. CONCLUSIONS: This initial exploration demonstrates the potential opportunities to enhance prediction of outcome using machine learning techniques to explore routinely collected clinical data. Implications for rehabilitationPredicting emergence from prolonged disorders of consciousness is important for planning care and treatment.Few evidence-based criteria exist for aiding clinical decision-making and existing criteria are mostly based upon acute admission data.Whilst acknowledging the limitations of using proxy data for diagnosis of emergence, this study suggests that key items from the UKROC dataset, routinely collected on admission to specialist rehabilitation some months post injury, may help to predict those patients who are more (or less) likely to regain consciousness.Machine learning can help to enhance our understanding of the best predictors of outcome and thus assist with clinical decision-making in PDOC.

Exploring the Clinical Utility of the Music Therapy Assessment Tool for Awareness in Disorders of Consciousness (MATADOC) with People with End-Stage Dementia.

Dementia is a major health concern globally and cross-culturally with progressive decline in cognition, mobility and communication. There are few interventions for end-stage dementia (ESD) although music interventions have been observed to be accessible for people with mid to late-stage dementia. The lack of protocols and measures suited to ESD has limited research into the effects of music therapy. Measure sensitivity to minimal responsiveness is one limitation to the use of existing music intervention measures with ESD. This exploratory study examined the clinical utility of the Music Therapy Assessment Tool for Awareness in Disorders of Consciousness (MATADOC) for use with people with end-stage dementia, including preliminary reliability and validity. The MATADOC is a standardized assessment for minimally responsive patients with disorders of consciousness and may be useful for ESD. Using repeated measures with blinded MATADOC-trained raters, MATADOC data were collected with a small convenience sample of people with ESD in a residential care setting. Clinical utility data were collected from the raters and evaluated using a multidimensional model. To explore its functionality, MATADOC outcomes were compared to another measure for music interventions in dementia. The MATADOC may be useful for assessing functioning and responsiveness to music interventions for people with ESD without the risk of floor effects. Modifying the MATADOC protocol and assessment documentation prior to testing with a larger sample will enhance its sensitivity specific to ESD and age-related needs, providing a new music-based ESD assessment.

The post-ICU presentation screen (PICUPS) and rehabilitation prescription (RP) for intensive care survivors part I: Development and preliminary clinimetric evaluation.

Background: Patients who have had prolonged stays in intensive care have ongoing rehabilitation needs. This is especially true of COVID-19 ICU patients, who can suffer diverse long-term ill effects. Currently there is no systematic data collection to guide the needs for therapy input for either of these groups nor to inform planning and development of rehabilitation services. These issues could be resolved in part by the systematic use of a clinical tool to support decision-making as patients progress from the Intensive Care Unit (ICU), through acute hospital care and onwards into rehabilitation. We describe (i) the development of such a tool (the Post-ICU Presentation Screen (PICUPS)) and (ii) the subsequent preparation of a person-centred Rehabilitation Prescription (RP) to travel with the patient as they continue down the care pathway. Methods: PICUPS development was led by a core group of experienced clinicians representing the various disciplines involved in post-ICU rehabilitation. Key constructs and item-level descriptors were identified by group consensus. Piloting was performed as part of wider clinical engagement in 26 acute hospitals across England. Development and validation of such a tool requires clinimetric analysis, and this was based on classical test theory. Teams also provided feedback about the feasibility and utility of the tool. Results: Initial PICUPS design yielded a 24-item tool. In piloting, a total of 552 records were collated from 314 patients, of which 121 (38.5%) had COVID-19. No obvious floor or ceiling effects were apparent. Exploratory factor analysis provided evidence of uni-dimensionality with strong loading on the first principal component accounting for 51% of the variance and Cronbach's alpha for the full-scale score 0.95 - although a 3-factor solution accounted for a further 21%. The PICUPS was responsive to change both at full scale- and item-level. In general, positive responses were seen regarding the tool's ability to describe the patients during their clinical course, engage and flag the relevant professionals needed, and to inform what should be included in an RP. Conclusions: The PICUPS tool has robust scaling properties as a clinical measure and is potentially useful as a tool for identifying rehabilitation needs as patients step down from ICU and acute hospital care.

Strengthening Community End-of-Life Care through Implementing Measurement-Based Palliative Care.

The increasing demand for palliative care in New Zealand presents a potential threat to the quality of service delivery. One strategy to overcome this is through the implementation of valid and reliable patient-reported outcome measures. This mixed-methods study aimed to (1) implement measurement-based palliative care (MBPC) in a community palliative care service in Auckland, New Zealand; (2) evaluate the clinical utility of MBPC perceived by clinicians; (3) describe patient characteristics as measured by the Integrated Palliative Care Outcome Scale (IPOS), the Australasian Modified Karnofsky Performance Scale (AKPS), and Phase of Illness (POI); and (4) evaluate the internal consistency of the IPOS. Participants were over 18 years of age from a community outpatient palliative care service. In a phased approach to implementation, healthcare staff were educated on each instrument used for patient assessment. Uptake and internal consistency were evaluated through descriptive statistics. An interpretive descriptive methodology was used to explore the clinical utility of MBPC through semi-structured interviews with seven clinical staff members. Individual patient assessments (n = 1507) were undertaken predominantly on admission, with decreasing frequency as patients advanced through to the terminal phase of their care. Mean total IPOS scores were 17.97 (SD = 10.39, α = 0.78). The POI showed that 65% of patients were in the stable phase, 20% were in the unstable phase, 9% were in the deteriorating phase, and 2% were in the terminal phase. Clinicians reported that MBPC facilitated holistic and comprehensive assessments, as well as the development of a common interdisciplinary language. Clinicians expressed discomfort using the psychosocial and spiritual items. Measurement-based palliative care was only partially implemented but it was valued by staff and perceived to increase the quality of service delivery. Future research should determine the optimal timing of assessments, cultural responsivity for Maori and Pacific patients, and the role of MBPC in decision support for clinicians.

Measuring health consumers' engagement at the governance level: development and validation of the Middlemore Consumer Engagement Questionnaire.

AIM: To develop and validate a questionnaire to measure health CE at governance level. METHOD: This study used qualitative and quantitative methods (including focus groups, cognitive interviews and an international survey), and consisted of two phases. In Phase 1, an initial list of items was generated and refined with feedback from health consumer representatives. In Phase 2, a draft survey was distributed to n=227 consumers from New Zealand, Australia and Canada. The benefit and relevance of using the questionnaire was explored through face-to-face interviews with five CE leaders from New Zealand healthcare organisations. RESULTS: The proposed questionnaire comprises 25 statements relating to CE. Respondents indicate their level of agreement with the statements on a five-point Likert-type scale. Focus group and cognitive interview participants found the questionnaire relevant and easy to understand. The questionnaire scores correlated with the PPEET, another instrument measuring consumer engagement, and showed excellent internal consistency (Cronbach's alpha=0.97), unidimensionality and test-retest reliability (r=0.84). CONCLUSION: The proposed questionnaire measures CE at governance level and can be used for international comparisons and benchmarking. It showed sound psychometric properties and its value and relevance was recognised by health consumer representatives and leaders with CE roles in New Zealand healthcare organisations.