Ping Guo
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
Guo, Ping; Dzingina, Mendwas; Firth, Alice M.; Davies, Joanna M.; Douiri, Abdel; O'Brien, Suzanne M.; Pinto, Cathryn; Pask, Sophie; Higginson, Irene J.; Eagar, Kathy; Murtagh, Fliss E.M.
Authors
Mendwas Dzingina
Alice M. Firth
Joanna M. Davies
Abdel Douiri
Suzanne M. O'Brien
Cathryn Pinto
Sophie Pask
Irene J. Higginson
Kathy Eagar
Professor Fliss Murtagh F.Murtagh@hull.ac.uk
Professor of Palliative Care
Abstract
Introduction Provision 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 analysis Phase 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 dissemination The 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.
Citation
Guo, P., Dzingina, M., Firth, A. M., Davies, J. M., Douiri, A., O'Brien, S. M., Pinto, C., Pask, S., Higginson, I. J., Eagar, K., & Murtagh, F. E. (2018). 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, 8(3), e020071. https://doi.org/10.1136/bmjopen-2017-020071
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 8, 2018 |
Online Publication Date | Mar 17, 2018 |
Publication Date | 2018-03 |
Deposit Date | Apr 24, 2018 |
Publicly Available Date | Apr 25, 2018 |
Journal | BMJ Open |
Print ISSN | 2044-6055 |
Publisher | BMJ Publishing Group |
Peer Reviewed | Peer Reviewed |
Volume | 8 |
Issue | 3 |
Pages | e020071 |
DOI | https://doi.org/10.1136/bmjopen-2017-020071 |
Keywords | General Medicine |
Public URL | https://hull-repository.worktribe.com/output/799198 |
Publisher URL | http://bmjopen.bmj.com/content/8/3/e020071 |
Contract Date | Apr 25, 2018 |
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This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/
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