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Updated: Sep 25, 2025

A Precision Medicine Tool for Measurement and Monitoring of Hemoglobin S in Sickle Cell Disease Patients Receiving Transfusion Therapy
Development of a conceptual model for evaluating new non-curative and curative therapies for sickle cell disease
Kate M Johnson1,2,3, Boshen Jiao3, M A Bender4
1Faculty of Pharmaceutical Sciences, Collaboration for Outcomes Research and Evaluation (CORE), University of British Columbia, Vancouver, Canada.
Insights
A new conceptual model tracks sickle cell disease (SCD) progression to assess curative therapies. This model informs cost-effectiveness analyses for better patient outcomes and resource allocation.
Area of Science:
- Hematology
- Health Economics
- Clinical Modeling
Background:
- Sickle cell disease (SCD) presents significant clinical heterogeneity with acute and chronic complications.
- SCD disproportionately affects Black and Hispanic communities, highlighting health disparities.
- Current clinical practices necessitate a robust model for evaluating novel curative therapies.
Purpose of the Study:
- To develop a conceptual model of SCD progression reflecting current clinical practice.
- To inform cost-effectiveness analyses (CEA) for emerging curative treatments.
- To adhere to SMDM/ISPOR Task Force guidelines for good modeling practices.
Main Methods:
- Expert, provider, and patient consultations informed model development.
- Model structure was compared with prior CEA models for SCD interventions.
- Prevalence of disease attributes was assessed using Medicaid and Medicare claims data.
Main Results:
- The conceptual model encompasses four dimensions: chronic pain, acute events, chronic conditions, and treatment complications, comprising 26 disease attributes.
- Chronic pain is modeled separately due to its significant impact and interaction with other disease aspects.
- Data sources for health state utilities and non-medical costs/benefits were identified for microsimulation modeling.
Conclusions:
- Explicit conceptualization enhances transparency and accuracy in modeling SCD.
- The developed model will be populated with identified data sources.
- The model will be utilized to evaluate the cost-effectiveness of curative therapies for SCD.
Background:
Sickle cell disease (SCD) is a clinically heterogeneous disease with many acute and chronic complications driven by ongoing vaso-occlusion and hemolysis. It causes a disproportionate burden on Black and Hispanic communities. Our objective was to follow the SMDM/ISPOR Task Force recommendations for good practices and create a conceptual model of the progression of SCD under current clinical practice to inform cost-effectiveness analyses (CEA) of promising curative therapies in the pipeline over a lifetime horizon.
Methods:
We used consultations with experts, providers, and patients to identify acute events and chronic conditions in the conceptual model. We compared our model structure to previous CEA models of interventions for SCD, assessed the prevalence of the identified disease attributes in Medicaid and Medicare claims databases, and identified relevant outcomes following the 2nd Panel in CEA. We determined an appropriate modeling technique and relevant data sources for parameterizing the model.
Results:
The conceptual model structure included four dimensions of disease: chronic pain, acute events, chronic conditions, and treatment complications, spanning 26 disease attributes with significant impacts on health-related quality of life and resource. We modeled chronic pain separately to reflect its importance to patients and interaction with all other disease attributes. We identified additional data sources for health state utilities and non-medical costs and benefits of SCD. We will use a microsimulation model with age- and sex-specific transitions between health states predicted by patient demographic characteristics and disease history.
Conclusion:
Developing the model structure through an explicit process of model conceptualization can increase the transparency and accuracy of results. We will populate the conceptual model with the data sources described and evaluate the cost-effectiveness of curative therapies.
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