Related Experiment Video
Updated: Jun 13, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Emergency admission Predictive RIsk Stratification Models: Assessment of Implementation Consequences (PRISMATIC 2): a
Mark Kingston1, Helen Snooks2, Alan Watkins2
1Swansea University Medical School, Swansea University, Swansea, UK M.r.kingston@swansea.ac.uk.
Emergency admission risk stratification (EARS) tools in primary care are increasingly used but their impact is unclear. This study assesses EARS effects, costs, and stakeholder views to inform policy and practice.
Area of Science:
- Health Services Research
- Primary Care Medicine
- Health Policy Analysis
Background:
- Emergency admissions are a significant cost and burden on healthcare systems.
- Emergency Admission Risk Stratification (EARS) tools are implemented in primary care to predict and potentially reduce hospital admissions.
- The real-world impact and unintended consequences of EARS tools remain poorly understood.
Purpose of the Study:
- To evaluate the effects of EARS tool implementation in England.
- To examine the mechanisms through which EARS tools influence healthcare utilization.
- To understand the costs and perspectives of patients and healthcare professionals regarding EARS tools.
Main Methods:
- A quasi-experimental mixed-methods design integrating routine anonymised data and qualitative research.
- Interrupted time-series analysis of emergency admission trends at a regional level.
- Qualitative interviews with GPs, healthcare staff, and patients to explore experiences and perceptions.
Main Results:
- Analysis of routine data to assess changes in emergency admissions and healthcare use post-EARS implementation.
- Investigation of GP decision-making and patient case-mix associated with emergency admissions before and after EARS.
- Exploration of patient and healthcare professional views on EARS tool impact and communication.
Conclusions:
- The study will provide crucial insights into the effectiveness and implications of EARS tools.
- Findings will inform policymakers and healthcare providers on optimizing the use of risk stratification tools.
- Understanding stakeholder perspectives is key to successful implementation and improved patient care.
More Related Videos
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
10:38Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
Published on: January 16, 2019
Related Concept Videos
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Hazard Ratio
For example, in a clinical trial...
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic...
Randomized Experiments
Simple randomization
Simple...