Prioritizing Interventions for Depression and Schizophrenia
Author Information
Author(s): Richard F. Heller, Islay Gemmell, Lesley Patterson
Primary Institution: University of Manchester
Hypothesis
Can Population Impact Measures help prioritize interventions for depression and schizophrenia?
Conclusion
Population Impact measures help policy-makers see the impact of new interventions on the population and compare alternative interventions to improve psychiatric outcomes.
Supporting Evidence
- The study estimates the number of relapses and hospital readmissions prevented by adopting best practice recommendations.
- For depression, the number of relapses prevented ranged from 100 to 325 depending on the intervention.
- For schizophrenia, the number of relapses prevented ranged from 6 to 44 depending on the intervention.
Takeaway
This study shows how different treatments can help people with depression and schizophrenia, and which ones might work best for a lot of people.
Methodology
Literature-based estimates were used to calculate the Number of Events Prevented in your Population (NEPP) for various interventions.
Potential Biases
Potential biases due to reliance on literature-based estimates and varying quality of data.
Limitations
The estimates depend on the availability of relevant data, which can vary significantly.
Participant Demographics
Not specified, but based on a notional population of 100,000 adults.
Statistical Information
Confidence Interval
95% confidence intervals were used for some estimates.
Digital Object Identifier (DOI)
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