A population-based model for priority setting across the care continuum and across modalities
2006

A Population-Based Model for Priority Setting in Healthcare

publication Evidence: moderate

Author Information

Author(s): Leonie Segal, Duncan Mortimer

Primary Institution: Centre for Health Economics, Monash University

Hypothesis

The Health-sector Wide (HsW) priority setting model can improve resource allocation in healthcare by focusing on target populations rather than program budgets.

Conclusion

The HsW model is more likely to enhance allocative efficiency compared to traditional priority setting approaches.

Supporting Evidence

  • The HsW model has been applied to various diseases, demonstrating its practical utility.
  • It provides a structured approach to resource allocation that can lead to better health outcomes.
  • Comparisons with other models show that the HsW model can enhance efficiency in healthcare spending.

Takeaway

This study presents a new way to decide how to spend money on healthcare by looking at the whole population instead of just specific diseases or treatments.

Methodology

The HsW model uses a comprehensive framework to analyze all possible interventions for diseases, aiming to maximize health benefits within budget constraints.

Potential Biases

The model's reliance on expert opinion and political considerations may introduce bias in decision-making.

Limitations

The model may struggle with a lack of objective evidence for some interventions and the complexity of comparing diverse treatment options.

Digital Object Identifier (DOI)

10.1186/1478-7547-4-6

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication