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Background: Over the next two decades, the numbers of people who will need palliative care in the United Kingdom and Ireland is projected to increase. Hospices play a vital role supporting people who require specialist palliative care input through community-based and inpatient palliative care services. Evidence is needed to understand the role of these different services to inform future service development. Objectives: To describe the reasons for admission, and outcomes at the end of the stay, for patients admitted to two hospice inpatient units (IPUs). Design: This was a mixed-methods study using a convergent, parallel mixed-methods design. Methods: We reviewed the case notes of all patients admitted to two hospice inpatient units from July to November 2019; conducted semi-structured interviews with patients and families; as well as brief structured interviews with inpatient unit staff. Results: Two hundred fifty-nine patients were admitted to a hospice IPU, accounting for 276 admissions in total. Overall, 53% were female; median age was 71 years (range: 26–95 years). Most patients (95%) were White British or Scottish, and 95% had a cancer diagnosis. Most patients were admitted from the community, under one-third were admitted from hospital. Most (85%) had previous palliative care involvement. Nearly, half had district nurse support (48%). Worry and anxiety was frequently reported as a reason for admission, alongside physical concerns. Median length of stay was 12 days, and 68% died during their stay. Hospice was recorded as the preferred place of care for 56% of those who died there. Conclusions: Sustained efforts to promote the hospice as place of care for people with conditions other than cancer are needed alongside greater clarity regarding of the role of the hospice IPU, and who would benefit most from IPU support. [ABSTRACT FROM AUTHOR]

To identify the patient classification systems used to classify nursing intensity in the assessment of nursing staffing resources currently used in home health care, with a special emphasis on validity, reliability and staff allocation. Scoping review of internationally published and grey literature, based on a methodological framework by Arksey and O'Malley. Searches of the electronic databases Cinahl, Medline, Embase and SweMed, the websites Google and Google Scholar and hand searches of reference lists occurred. Eligibility criteria included (A) a focus on patient classification systems measuring nursing intensity and workload in home health care and (B) published in English between January 2007 and March 2019. In level one testing two team members screened titles and abstracts, in level two testing two team members determined which papers should undergo a full text review. Data were extracted using structured extraction by one team member and verified by two other members. Thirteen peer-reviewed articles and grey literature documents were identified, from Canada, Ireland, the UK, the USA, Scotland, Turkey and the Netherlands. Four patient classification systems had been tested for both validity and reliability. Validity was tested through face validity, predictive validity, concurrent validity or content validity index. Reliability was tested through stability, internal consistency, observer agreement or inter rater reliability. One patient classification system had been tested only for reliability, through interrater reliability and observer agreement. Two patient classification systems had been evaluated through summative evaluation; one qualitatively through focus group interviews and one through semi-structured interviews. Only one patient classification system had been validity and reliability tested and evaluated. Overall, the patient classification systems in the included papers (13) were considered to have benefits and to be appropriate for the measurement of patients' needs, workload and allocation of staff, although specific information was not always given. Little has been published on validity or reliability tested patient classification systems linked to staffing allocation in home health care in the past decade. Limited research was seen where a patient classification system was considered to be fully operational in home health care. [ABSTRACT FROM AUTHOR]