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Predictive risk stratification model: a progressive cluster-randomised trial in chronic conditions management
Insights
This study evaluates Prism, a tool predicting emergency hospital admissions for general practice. It assesses Prism
Area of Science:
- Health Services Research
- Predictive Analytics in Healthcare
- General Practice Innovation
Background:
- An aging population increases demand on health and social care services.
- New approaches are needed to shift care from hospital to community and general practice settings.
- A predictive risk stratification tool (Prism) has been developed to estimate emergency hospital admission risk in general practice.
Purpose of the Study:
- To evaluate the effectiveness, cost-effectiveness, and implementation of the Prism tool in general practice.
- To assess Prism's impact on patient outcomes, care processes, and practitioner/policymaker perceptions.
- To identify barriers and facilitators to Prism implementation in primary care settings.
Main Methods:
- A mixed-methods progressive cluster-randomised trial comparing usual care with Prism implementation.
- Data collection includes routine data, postal questionnaires (at baseline, 6, 18 months), focus groups, and interviews.
- Economic evaluation includes cost-effectiveness and cost-consequence analyses; data analysis uses generalized linear models and survival analysis.
Main Results:
- Technical performance will be assessed by comparing predicted vs. actual emergency admissions.
- Patient outcomes, costs, satisfaction, and quality of life will be compared between groups.
- Qualitative data will explore perceptions and adoption of Prism by practitioners and policymakers.
Conclusions:
- The study will provide crucial information on the costs and effects of the Prism tool.
- Findings will illuminate practical use, implementation challenges, and perceived value in managing chronic conditions.
- Results will inform the integration of predictive tools into primary care for improved patient management.
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 and 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.
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