Dataset Information

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.

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.

Trial registration number

ISRCTN90752212.

SUBMITTER: Guo P

PROVIDER: S-EPMC5879599 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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Publications

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 P Dzingina Mendwas M Firth Alice M AM Davies Joanna M JM Douiri Abdel A O'Brien Suzanne M SM Pinto Cathryn C Pask Sophie S Higginson Irene J IJ Eagar Kathy K Murtagh Fliss E M FEM

BMJ open 20180317 3

<h4>Introduction</h4>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.<h4>Methods and analysis</h4>Phase I: A cohort study to determine the variables and potential classes to be included in a casemix cla ...[more]

PMID: 29550781

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Project description:Background/aimsThe use and costs of health care rise substantially in the months prior to death, and although the use of palliative care services may be expected to lead to less costly care, the evidence is mixed. We analysed the costs of care over the last year of life and the extent to which these are associated with the use and duration of specialist palliative care (SPC) for decedents who died from cancer or another life-limiting illness.MethodsThe decedents were participants in a cohort study of older residents of the state of New South Wales, Australia. Using linked survey and administrative health data from 2007 to 2016, two cohorts were identified: n = 10,535 where the cause of death was cancer; and n = 11,179 where the cause of death was another life-limiting illness. Costs of various types were analysed with separate risk-adjusted linear regression models for the last 1, 3, 6, 9 and 12 months before death and for both cohorts. SPC was categorised according to time to death from first contact with the service as 1-7 days, 7-30 days, 30-180 days and more than 180 days.ResultsSPC use was higher among the cancer cohort (30.0%) relative to the non-cancer cohort (4.8%). The mean costs over the final year of life were AU$55,037 (SD 45,059) for the cancer cohort and AU$35,318 (SD 41,948) for the non-cancer cohort. Earlier use of SPC was associated with higher costs over the last year of life but lower costs in the last 1 and 3 months for both cohorts. Initiating SPC use more than 180 days before death was associated with a mean difference relative to the no SPC group of AU$15,590 (95% CI 10,617 to 20,562) and AU$13,739 (95% CI 733 to 26,746) over the last year of life for those dying from cancer and another illness, respectively. The same differences over the last month of life were - AU$2810 (95% CI - 3945 to - 1676) and - AU$4345 (95% CI - 6625 to - 2066). Admitted hospital care was the major driver of costs, with longer SPC associated with lower rates of death in hospital for both cohorts.ConclusionEarly initiation of SPC was associated with higher costs over the last year of life and lower costs over the last months of life. This was the case for both the cancer and non-cancer cohorts, and appeared to be largely attributed to reduced hospitalisation. Although further investigation is required, our results suggest that expanding the availability of SPC services to provide more equitable access could enable patients to spend more time at their usual place of residence, reduce pressure on inpatient services and facilitate death at home when that is preferred.

Project description:INTRODUCTION:Compared with fee-for-service systems, prospective payment based on casemix classification is thought to promote more efficient, needs-based care provision. We aim to develop a casemix classification to predict the costs of home care in the Netherlands. METHODS AND ANALYSIS:The research is designed as a multicentre, cross-sectional cohort study using quantitative methods to identify the relative cost predictors of home care and combine these into a casemix classification, based on individual episodes of care. The dependent variable in the analyses is the cost of home care utilisation, which is operationalised through various measures of formal and informal care, weighted by the relative wage rates of staff categories. As independent variables, we will use data from a recently developed Casemix Short-Form questionnaire, combined with client information from participating home care providers' (nursing) classification systems and data on demographics and care category (ie, a classification mandated by health insurers). Cost predictors are identified using random forest variable importance measures, and then used to build regression tree models. The casemix classification will consist of the leaves of the (pruned) regression tree. Internal validation is addressed by using cross-validation at various stages of the modelling pathways. The Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis statement was used to prepare this study protocol. ETHICS AND DISSEMINATION:The study was classified by an accredited Medical Research Ethics Committee as not subject to the Dutch Medical Research Involving Human Subjects Act. Findings are expected in 2020 and will serve as input for the development of a new payment system for home care in the Netherlands, to be implemented at the discretion of the Dutch Ministry of Health, Welfare and Sports. The results will also be published in peer-reviewed publications and policy briefs, and presented at (inter)national conferences.

Project description:Objective To assess the effect of specialist palliative care on quality of life and additional outcomes relevant to patients in those with advanced illness.Design Systematic review with meta-analysis.Data sources Medline, Embase, Cochrane Central Register of Controlled Trials, PsycINFO, and trial registers searched up to July 2016.Eligibility criteria for selecting studies Randomised controlled trials with adult inpatients or outpatients treated in hospital, hospice, or community settings with any advanced illness. Minimum requirements for specialist palliative care included the multiprofessional team approach. Two reviewers independently screened and extracted data, assessed the risk of bias (Cochrane risk of bias tool), and evaluated the quality of evidence (GRADE tool).Data synthesis Primary outcome was quality of life with Hedges' g as standardised mean difference (SMD) and random effects model in meta-analysis. In addition, the pooled SMDs of the analyses of quality of life were re-expressed on the global health/QoL scale (item 29 and 30, respectively) of the European Organization for Research and Treatment of Cancer QLQ-C30 (0-100, high values=good quality of life, minimal clinically important difference 8.1).Results Of 3967 publications, 12 were included (10 randomised controlled trials with 2454 patients randomised, of whom 72% (n=1766) had cancer). In no trial was integration of specialist palliative care triggered according to patients' needs as identified by screening. Overall, there was a small effect in favour of specialist palliative care (SMD 0.16, 95% confidence interval 0.01 to 0.31; QLQ-C30 global health/QoL 4.1, 0.3 to 8.2; n=1218, six trials). Sensitivity analysis showed an SMD of 0.57 (-0.02 to 1.15; global health/QoL 14.6, -0.5 to 29.4; n=1385, seven trials). The effect was marginally larger for patients with cancer (0.20, 0.01 to 0.38; global health/QoL 5.1, 0.3 to 9.7; n=828, five trials) and especially for those who received specialist palliative care early (0.33, 0.05 to 0.61, global health/QoL 8.5, 1.3 to 15.6; n=388, two trials). The results for pain and other secondary outcomes were inconclusive. Some methodological problems (such as lack of blinding) reduced the strength of the evidence.Conclusions Specialist palliative care was associated with a small effect on QoL and might have most pronounced effects for patients with cancer who received such care early. It could be most effective if it is provided early and if it identifies though screening those patients with unmet needs.Systematic review registration PROSPERO CRD42015020674.

Project description:BackgroundA classification system that categorizes International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) diagnosis codes into clinically meaningful categories is important for pediatric clinical and health services research using administrative data. While a Pediatric Clinical Classification System (PECCS) is available for the United States ICD-10 system (i.e, ICD-10-CM), differences in the ICD-10 system between countries limits PECCS use in Canada.ObjectiveTo translate PECCS from ICD-10-CM to ICD-10-CA for use in Canada (PECCS-CA), and examine the utility of PECCS-CA in administrative data of pediatric hospital encounters in Ontario, Canada.MethodsPECCS was translated by mapping each ICD-10-CA code to its corresponding ICD-10-CM code, based on code description and alphanumeric code, using automated functions in Microsoft Excel. All unmatched ICD-10-CA codes were manually matched to an ICD-10-CM code. The ICD-10-CA codes were mapped to a PECCS category based on the placement of the corresponding ICD-10-CM code. Finally, in this cross-sectional study, the utility of PECCS-CA was examined in pediatric hospital encounters in children <18 years of age with an inpatient or same day surgery encounter, between April 1, 2014 to March 31, 2019 in Ontario.ResultsIn total, 16,992 ICD-10-CA diagnosis codes were mapped to 781 mutually exclusive condition categories that included pediatric specific conditions and treatments in PECCS-CA. From the 781 categories, 777 (99.5%) were derived from the original PECCS, 3 (0.4%) from merging the original PECCS categories, and 1 (0.1%) was newly developed. The PECCS-CA was applied to health administrative data of 911,732 hospital encounters in children. The most prevalent condition in children was low birth weight (n = 54,100 encounters).ConclusionThe PECCS-CA is an open-source classification system which maps ICD-10-CA codes into 781 clinically important pediatric categories. The PECCS-CA can be used for pediatric health services and outcomes research in Canada.

Dataset Information

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.

Introduction

Methods and analysis

Ethics and dissemination

Trial registration number

Publications

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.

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