Out-of-hours specialist palliative care provision in an oncology centre: is                 it worthwhile?

In Scotland, the Key Information Summary (KIS) enables health providers to access key patient information to guide decision-making out-of-hours. KISs are generated in primary care and rely on information from other teams, such as community specialist palliative care teams (CSPCTs), to keep them up-to-date. This study involved a service evaluation consisting of case note reviews of new referrals to a CSPCT and semi-structured interviews with palliative care community nurse specialists (CNSs) regarding their perspectives on KISs. Some 44 case notes were examined, and 77% of patients had a KIS on CSPCT referral. One-month post-referral, all those re-examined (n=17) had a KIS, and 59% KISs had been updated following CNS assessments. CNSs cited anticipatory care planning (ACP) as the most useful aspect of KIS, and the majority of CNSs said they would appreciate KIS editing access. A system allowing CNSs to update KISs would be acceptable to CNSs, as it could facilitate care co-ordination and potentially improve comprehensiveness of ACP information held in KISs.

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Development and validation of a casemix classification to predict costs of specialist palliative care provision across inpatient hospice, hospital and community settings in the UK: a study protocol

BMJ Open ◽

10.1136/bmjopen-2017-020071 ◽

2018 ◽

Vol 8 (3) ◽

pp. e020071 ◽

Cited By ~ 3

Author(s):

Ping Guo ◽

Mendwas Dzingina ◽

Alice M Firth ◽

Joanna M Davies ◽

Abdel Douiri ◽

...

Keyword(s):

Palliative Care ◽

Cohort Study ◽

Phase I ◽

Resource Use ◽

Care Provision ◽

Specialist Palliative Care ◽

Community Settings ◽

Validation Data ◽

Patient Level ◽

The Uk

IntroductionProvision of palliative care is inequitable with wide variations across conditions and settings in the UK. Lack of a standard way to classify by case complexity is one of the principle obstacles to addressing this. We aim to develop and validate a casemix classification to support the prediction of costs of specialist palliative care provision.Methods and analysisPhase I: A cohort study to determine the variables and potential classes to be included in a casemix classification. Data are collected from clinicians in palliative care services across inpatient hospice, hospital and community settings on: patient demographics, potential complexity/casemix criteria and patient-level resource use. Cost predictors are derived using multivariate regression and then incorporated into a classification using classification and regression trees. Internal validation will be conducted by bootstrapping to quantify any optimism in the predictive performance (calibration and discrimination) of the developed classification. Phase II: A mixed-methods cohort study across settings for external validation of the classification developed in phase I. Patient and family caregiver data will be collected longitudinally on demographics, potential complexity/casemix criteria and patient-level resource use. This will be triangulated with data collected from clinicians on potential complexity/casemix criteria and patient-level resource use, and with qualitative interviews with patients and caregivers about care provision across difference settings. The classification will be refined on the basis of its performance in the validation data set.Ethics and disseminationThe study has been approved by the National Health Service Health Research Authority Research Ethics Committee. The results are expected to be disseminated in 2018 through papers for publication in major palliative care journals; policy briefs for clinicians, commissioning leads and policy makers; and lay summaries for patients and public.Trial registration numberISRCTN90752212.

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