The study modelled health and economic effects of expanding housing access in California. The cohort was the estimated 18,928 people experiencing homelessness with opioid use disorder. An individual-level microsimulation ran over a lifetime horizon. Increases in permanent housing and shelter places were set to Los Angeles County's Measure A goals. Costs covered both housing and healthcare, and the Housing First approach required neither treatment nor abstinence. Expanding housing raised mean age at death by 0.34 years and averted 39 fatal overdoses. The incremental cost-effectiveness ratio was $31,083 per quality-adjusted life-year gained, below conventional willingness-to-pay thresholds. The findings rest on modelled parameters rather than observed outcomes.
Why it is interesting: Housing is costed here as a health intervention and comes in below usual willingness-to-pay thresholds. Opioid overdose deaths and cost per quality-adjusted life-year are assessed in a single model.
Cite this item
BibTeX
Free sign-up. A digest of the new papers twice a week, grouped by domain.
Other drivers in Data, models and systems
-
Forecasts and their record
How the forecasts are made, how well they explained the past, and how well mortality can be forecast — and by whom.
5 this week -
What linked data reveals
What linked registries make it possible to know about whole populations
9 this week -
AI in medicine
Whether machine learning predicts, detects and decides better than the tools we have, and whether that has yet changed an outcome for a population.
5 this week -
Health systems and access
What the health system can provide, who gets it, and whether the gaps in health between groups are widening.
4 this week -
Value in health
What a treatment, health programme or policy is worth against what it costs, and how far the models that decide it can be trusted.
7 this week -
Revisions and new sources
What the figures are built from, what is newly available, and how much the numbers move when they are revised.
7 this week
