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Nils Wendel, MD's avatar

Thanks for the overview, Nev.

My assumption is that there would be pretty major differences in the types of patients comprising the AOT and voluntary groups, but in the opposite direction from what the report indicates! Much demographic data suggests that the AOT individuals at baseline are probably more functional (and perhaps less ill?) than the voluntary cohort. Any thoughts as to why this is? I could imagine, for example, better resourced families pushing harder for AOT, or clinicians/judges looking at a younger, healthier individual and thinking that there is more reason to try and prevent further deterioration by being more aggressive.

While I find the functional outcomes dismal, I am somewhat impressed by the rather large reductions in risk of harm to self and others. Reducing the rate of physical violence in the AOT group from 30% to 9% is pretty significant.

My takeaway from the study is that AOT and voluntary treatment are practically the same in most major outcomes, which brings me to my next question. Are all individuals in the AOT group given the ability to opt-in to voluntary treatment? If no, then I think that obviously needs to change given the lack of clear practical differences between outcomes. If yes, then I think the question is whether or not we find the outcomes to be worth forcing people into AOT who would not otherwise voluntarily participate. I am skeptical of that for many reasons, but would also like to see if there are particular sub-populations that seem to respond particularly well to AOT.

Max's avatar

Thank you for sharing further insight on this study. I work in homelessness policy and so was interested to see that the report looked at housing outcomes. In your discussion of the quantitative results here, I wasn’t sure what you meant about the “proportional slope” of the decline in homelessness for AOT clients. Since the decline for the non-AOT group is larger in both absolute and relative % terms, wouldn’t a comparison of slopes or an unadjusted regression estimate favor them? In any case, the way the inverse weighted estimates are presented leaves some important questions including: What was the magnitude of the statistically significant differences in outcomes? How do the estimates in marginal AOT and non-AOT change over time compare to the magnitude of estimates for other covariates? How did the AOT/non-AOT balance on characteristics look before and after inverse weighting? Further technical reporting on such items would allow outside researchers to better weigh the reliability and practical implications of the findings.

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