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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
Published on: September 26, 2018
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[Translated article] Risk stratification tool for pharmaceutical care in patients with cardiovascular disease
Anna de Dios Lopez1, Esther Vicente Escrig2, Paloma Sempere Serrano3
1Farmacia Hospitalaria, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Summary
A new tool stratifies cardiovascular disease patients for tailored pharmaceutical care. This helps optimize healthcare resources by identifying those needing intensive interventions based on clinical and treatment factors.
Area of Science:
- Cardiology
- Pharmaceutical Care
- Health Services Research
Background:
- Cardiovascular disease (CVD) management requires personalized pharmaceutical approaches.
- Effective risk stratification is crucial for optimizing pharmaceutical care delivery in CVD patients.
Purpose of the Study:
- To develop and pilot a risk stratification tool for pharmaceutical care in cardiovascular disease patients.
- To identify patients requiring comprehensive and personalized pharmaceutical interventions.
Main Methods:
- Collaborative development by hospital pharmacists specializing in cardiovascular risk.
- Utilized workshops and a pilot study to identify and weight variables across four dimensions.
- Adopted the Kaiser Permanente pyramidal model to classify patients into three priority levels (1, 2, and 3).
Main Results:
- A 20-variable questionnaire was developed, grouped into demographic, socio-health, clinical, and treatment factors.
- Established cut-off points: Priority 1 (≥23 points), Priority 2 (17-22 points), Priority 3 (<16 points).
- Clinical and treatment-related factors accounted for over 80% of the total score, guiding tailored interventions.
Conclusions:
- The developed tool effectively identifies cardiovascular patients needing higher levels of pharmaceutical care.
- This facilitates better adjustment of healthcare capacity and resource allocation.
- Further validation in a representative population is recommended for broader applicability.
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