Cargando…

Predictive risk stratification model: a progressive cluster-randomised trial in chronic conditions management (PRISMATIC) research protocol

BACKGROUND: An ageing population increases demand on health and social care. New approaches are needed to shift care from hospital to community and general practice. A predictive risk stratification tool (Prism) has been developed for general practice that estimates risk of an emergency hospital adm...

Descripción completa

Detalles Bibliográficos
Autores principales: Hutchings, Hayley A, Evans, Bridie A, Fitzsimmons, Deborah, Harrison, Jane, Heaven, Martin, Huxley, Peter, Kingston, Mark-Rhys, Lewis, Leo, Phillips, Ceri, Porter, Alison, Russell, Ian T, Sewell, Bernadette, Warm, Daniel, Watkins, Alan, Snooks, Helen A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3848373/
https://www.ncbi.nlm.nih.gov/pubmed/24330749
http://dx.doi.org/10.1186/1745-6215-14-301
_version_ 1782293750964289536
author Hutchings, Hayley A
Evans, Bridie A
Fitzsimmons, Deborah
Harrison, Jane
Heaven, Martin
Huxley, Peter
Kingston, Mark-Rhys
Lewis, Leo
Phillips, Ceri
Porter, Alison
Russell, Ian T
Sewell, Bernadette
Warm, Daniel
Watkins, Alan
Snooks, Helen A
author_facet Hutchings, Hayley A
Evans, Bridie A
Fitzsimmons, Deborah
Harrison, Jane
Heaven, Martin
Huxley, Peter
Kingston, Mark-Rhys
Lewis, Leo
Phillips, Ceri
Porter, Alison
Russell, Ian T
Sewell, Bernadette
Warm, Daniel
Watkins, Alan
Snooks, Helen A
author_sort Hutchings, Hayley A
collection PubMed
description BACKGROUND: An ageing population increases demand on health and social care. New approaches are needed to shift care from hospital to community and general practice. A predictive risk stratification tool (Prism) has been developed for general practice that estimates risk of an emergency hospital admission in the following year. We present a protocol for the evaluation of Prism. METHODS/DESIGN: We will undertake a mixed methods progressive cluster-randomised trial. Practices begin as controls, delivering usual care without Prism. Practices will receive Prism and training randomly, and thereafter be able to use Prism with clinical and technical support. We will compare costs, processes of care, satisfaction and patient outcomes at baseline, 6 and 18 months, using routine data and postal questionnaires. We will assess technical performance by comparing predicted against actual emergency admissions. Focus groups and interviews will be undertaken to understand how Prism is perceived and adopted by practitioners and policy makers. We will model data using generalised linear models and survival analysis techniques to determine whether any differences exist between intervention and control groups. We will take account of covariates and explanatory factors. In the economic evaluation we will carry out a cost-effectiveness analysis to examine incremental cost per emergency admission to hospital avoided and will examine costs versus changes in primary and secondary outcomes in a cost-consequence analysis. We will also examine changes in quality of life of patients across the risk spectrum. We will record and transcribe focus groups and interviews and analyse them thematically. We have received full ethical and R&D approvals for the study and Information Governance Review Panel (IGRP) permission for the use of routine data. We will comply with the CONSORT guidelines and will disseminate the findings at national and international conferences and in peer-reviewed journals. DISCUSSION: The proposed study will provide information on costs and effects of Prism; how it is used in practice, barriers and facilitators to its implementation; and its perceived value in supporting the management of patients with and at risk of developing chronic conditions. TRIAL REGISTRATION: Controlled Clinical Trials ISRCTN no. ISRCTN55538212.
format Online
Article
Text
id pubmed-3848373
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-38483732013-12-04 Predictive risk stratification model: a progressive cluster-randomised trial in chronic conditions management (PRISMATIC) research protocol Hutchings, Hayley A Evans, Bridie A Fitzsimmons, Deborah Harrison, Jane Heaven, Martin Huxley, Peter Kingston, Mark-Rhys Lewis, Leo Phillips, Ceri Porter, Alison Russell, Ian T Sewell, Bernadette Warm, Daniel Watkins, Alan Snooks, Helen A Trials Study Protocol BACKGROUND: An ageing population increases demand on health and social care. New approaches are needed to shift care from hospital to community and general practice. A predictive risk stratification tool (Prism) has been developed for general practice that estimates risk of an emergency hospital admission in the following year. We present a protocol for the evaluation of Prism. METHODS/DESIGN: We will undertake a mixed methods progressive cluster-randomised trial. Practices begin as controls, delivering usual care without Prism. Practices will receive Prism and training randomly, and thereafter be able to use Prism with clinical and technical support. We will compare costs, processes of care, satisfaction and patient outcomes at baseline, 6 and 18 months, using routine data and postal questionnaires. We will assess technical performance by comparing predicted against actual emergency admissions. Focus groups and interviews will be undertaken to understand how Prism is perceived and adopted by practitioners and policy makers. We will model data using generalised linear models and survival analysis techniques to determine whether any differences exist between intervention and control groups. We will take account of covariates and explanatory factors. In the economic evaluation we will carry out a cost-effectiveness analysis to examine incremental cost per emergency admission to hospital avoided and will examine costs versus changes in primary and secondary outcomes in a cost-consequence analysis. We will also examine changes in quality of life of patients across the risk spectrum. We will record and transcribe focus groups and interviews and analyse them thematically. We have received full ethical and R&D approvals for the study and Information Governance Review Panel (IGRP) permission for the use of routine data. We will comply with the CONSORT guidelines and will disseminate the findings at national and international conferences and in peer-reviewed journals. DISCUSSION: The proposed study will provide information on costs and effects of Prism; how it is used in practice, barriers and facilitators to its implementation; and its perceived value in supporting the management of patients with and at risk of developing chronic conditions. TRIAL REGISTRATION: Controlled Clinical Trials ISRCTN no. ISRCTN55538212. BioMed Central 2013-09-18 /pmc/articles/PMC3848373/ /pubmed/24330749 http://dx.doi.org/10.1186/1745-6215-14-301 Text en Copyright © 2013 Hutchings et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Study Protocol
Hutchings, Hayley A
Evans, Bridie A
Fitzsimmons, Deborah
Harrison, Jane
Heaven, Martin
Huxley, Peter
Kingston, Mark-Rhys
Lewis, Leo
Phillips, Ceri
Porter, Alison
Russell, Ian T
Sewell, Bernadette
Warm, Daniel
Watkins, Alan
Snooks, Helen A
Predictive risk stratification model: a progressive cluster-randomised trial in chronic conditions management (PRISMATIC) research protocol
title Predictive risk stratification model: a progressive cluster-randomised trial in chronic conditions management (PRISMATIC) research protocol
title_full Predictive risk stratification model: a progressive cluster-randomised trial in chronic conditions management (PRISMATIC) research protocol
title_fullStr Predictive risk stratification model: a progressive cluster-randomised trial in chronic conditions management (PRISMATIC) research protocol
title_full_unstemmed Predictive risk stratification model: a progressive cluster-randomised trial in chronic conditions management (PRISMATIC) research protocol
title_short Predictive risk stratification model: a progressive cluster-randomised trial in chronic conditions management (PRISMATIC) research protocol
title_sort predictive risk stratification model: a progressive cluster-randomised trial in chronic conditions management (prismatic) research protocol
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3848373/
https://www.ncbi.nlm.nih.gov/pubmed/24330749
http://dx.doi.org/10.1186/1745-6215-14-301
work_keys_str_mv AT hutchingshayleya predictiveriskstratificationmodelaprogressiveclusterrandomisedtrialinchronicconditionsmanagementprismaticresearchprotocol
AT evansbridiea predictiveriskstratificationmodelaprogressiveclusterrandomisedtrialinchronicconditionsmanagementprismaticresearchprotocol
AT fitzsimmonsdeborah predictiveriskstratificationmodelaprogressiveclusterrandomisedtrialinchronicconditionsmanagementprismaticresearchprotocol
AT harrisonjane predictiveriskstratificationmodelaprogressiveclusterrandomisedtrialinchronicconditionsmanagementprismaticresearchprotocol
AT heavenmartin predictiveriskstratificationmodelaprogressiveclusterrandomisedtrialinchronicconditionsmanagementprismaticresearchprotocol
AT huxleypeter predictiveriskstratificationmodelaprogressiveclusterrandomisedtrialinchronicconditionsmanagementprismaticresearchprotocol
AT kingstonmarkrhys predictiveriskstratificationmodelaprogressiveclusterrandomisedtrialinchronicconditionsmanagementprismaticresearchprotocol
AT lewisleo predictiveriskstratificationmodelaprogressiveclusterrandomisedtrialinchronicconditionsmanagementprismaticresearchprotocol
AT phillipsceri predictiveriskstratificationmodelaprogressiveclusterrandomisedtrialinchronicconditionsmanagementprismaticresearchprotocol
AT porteralison predictiveriskstratificationmodelaprogressiveclusterrandomisedtrialinchronicconditionsmanagementprismaticresearchprotocol
AT russelliant predictiveriskstratificationmodelaprogressiveclusterrandomisedtrialinchronicconditionsmanagementprismaticresearchprotocol
AT sewellbernadette predictiveriskstratificationmodelaprogressiveclusterrandomisedtrialinchronicconditionsmanagementprismaticresearchprotocol
AT warmdaniel predictiveriskstratificationmodelaprogressiveclusterrandomisedtrialinchronicconditionsmanagementprismaticresearchprotocol
AT watkinsalan predictiveriskstratificationmodelaprogressiveclusterrandomisedtrialinchronicconditionsmanagementprismaticresearchprotocol
AT snookshelena predictiveriskstratificationmodelaprogressiveclusterrandomisedtrialinchronicconditionsmanagementprismaticresearchprotocol