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.

Nurses' experiences of supporting patients requesting voluntary assisted dying: A qualitative meta-synthesis.

AIM: Describe the reported lived experiences of nurses who have participated at any stage of voluntary assisted dying (VAD), from the initial request to the end of life. DESIGN: A qualitative meta-synthesis. DATA SOURCES: Databases searched were CINAHL, MEDLINE, Emcare, Scopus and PsycInfo. The search was undertaken in September 2021 with no date limitations. Qualitative studies were considered if published in English, reported primary data analysis of nurses' experiences who had been involved in VAD and reported direct quotes from nurses. REVIEW METHODS: Qualitative studies meeting the selection criteria were critically appraised, then an open card-sort method was applied. Quotes from nurses were organized to group similar experiences, constructing themes and metaphors across studies as a new understanding of nurses' experiences of VAD. RESULTS: Eight studies were included. Three major themes were constructed: An orderly procedure, reflecting the need for structure to feel adequately prepared; A beautiful death, reflecting the autonomy the patient exercised when choosing VAD facilitated an exceptionally positive death; and Psychological and emotional impact, where nurses recognized the emotional and ethical weight that they carried for themselves and the team when undertaking VAD. CONCLUSION: Nurses may benefit from clear policy, supervision and communication training to support them as countries transition to providing VAD services. Policy provides nurses with confidence that they are undertaking the steps of VAD correctly and provides a layer of emotional protection. Communication training specific to VAD is necessary to prepare nurses to recognize their own emotional experiences when responding to the needs of the patient and their family. IMPACT: VAD is increasingly becoming a legal option that nurses are encountering in their professional practice. Understanding nurses' experiences of being involved in VAD is required to support nurses in countries where VAD is becoming available to prepare professionally and psychologically.

Intelligent Palliative Care Based on Patient-Reported Outcome Measures.

CONTEXT: The growth of patient reported outcome measures data in palliative care provides an opportunity for machine learning to identify patterns in patient responses signifying different phases of illness. OBJECTIVES: The study will explore if machine learning and network analysis can identify phases in patient palliative status through symptoms reported on the Integrated Palliative Care Outcome Scale (IPOS). METHODS: A partly cross-sectional and partially longitudinal observational study was undertaken using the Australasian Karnofsky Performance Scale (AKPS); Integrated Palliative Care Outcome Scale (IPOS); Phase of Illness (POI). Patient palliative records (n = 1507, 65% stable, 20% unstable, 9% deteriorating, 2% terminal) from 804 adult patients enrolled in a New Zealand palliative care service were analysed using a combination of statistical, machine learning and network analysis techniques. RESULTS: Data from IPOS showed considerable variation with phase. Also, network analysis showed clear associations between items by phase. Six machine learning techniques identified the most important variables for predicting possible transition between phases of illness. Network analysis for all patients showed that Poor Appetite and Loss of Energy were central IPOS items, with Loss of Energy linked to Drowsiness, Shortness of Breath and Lack of Mobility on the one hand, and Poor Appetite linked to Nausea, Vomiting, Constipation and Sore and Dry Mouth on the other. CONCLUSION: These preliminary results, when coupled with the latest technological developments in mobile apps and wearable technology, could point the way to increased use of digital therapeutics in continuous palliative care monitoring.

A Rasch Analysis of the Integrated Palliative Care Outcome Scale.

CONTEXT: Accurate assessment of a patient's palliative care needs is essential for the timely provision of treatment and support. The Integrated Palliative Care Outcome Scale (IPOS) is an ordinal measure possessing acceptable psychometric properties, but its ability to discriminate precisely between individual symptom levels has not been rigorously investigated. OBJECTIVES: The study aimed to conduct Rasch analysis of the IPOS to evaluate and enhance precision of the instrument. METHODS: Responses of 300 community-dwelling palliative care patients were subjected to Rasch analysis using the partial credit model. RESULTS: Initial analysis supported the use of the Rasch model and acceptable reliability (person separation index = 0.77) was observed; however, unsatisfactory model fit was found. Local dependency between items was resolved through the creation of super-items, which increased model fit, reliability (person separation index = 0.80), and unidimensionality. There were no misfitting super-items or differential item functioning by age, rater, sex, or ethnicity. The IPOS showed satisfactory coverage of symptoms within the present clinical sample, with the ability to assess higher severity patients. CONCLUSION: The modified IPOS showed excellent reliability for a clinical measure in assessing the overall palliative care needs of a patient. The provided ordinal-to-interval conversion table accounts for unique contribution of each symptom to the overall symptom burden and easy to use without the need to modify the original IPOS format.