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Use of Instrumental Variables Methods in Examining Psychiatric Readmissions

Use of Instrumental Variables Methods in Examining Psychiatric Readmissions Electroconvulsive Therapy and Psychiratric Hospital Readmission Risk Original Investigation Research Invited Commentary Use of Instrumental Variables Methods in Examining Psychiatric Readmissions Anthony T. Lo Sasso, PhD In this issue of JAMA Psychiatry, Slade et al take on difficult lyst and e indicates a set of nonpatient factors that influence questions about the effects of electroconvulsive therapy (ECT) the likelihood of ECT. The basic challenge the researchers con- on patient health outcomes. Specifically, the authors try to front is that patients with higher levels of the risk factor, r,are measure the causal effect of ECT on inpatient hospital read- both more likely to receive ECT and experience readmis- sions. We can make this relationship explicit by specifying mission for psychiatric rea- sons among patients with se- ε=r + u, where u indicates an idiosyncratic error term, and re- Related article page 798 vere psychiatric conditions. writing the overall outcome equation as: The challenge with this ques- Readmit =α+β (r + e)+(r + u). tion is that patients who receive ECT are likely different from patients who don’t receive ECT over a range of factors that may This makes the correlation between ECT and the unmea- also affect readmission risks. For http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA Psychiatry American Medical Association

Use of Instrumental Variables Methods in Examining Psychiatric Readmissions

JAMA Psychiatry , Volume 74 (8) – Aug 28, 2017

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Publisher
American Medical Association
Copyright
Copyright 2017 American Medical Association. All Rights Reserved.
ISSN
2168-622X
eISSN
2168-6238
DOI
10.1001/jamapsychiatry.2017.1669
Publisher site
See Article on Publisher Site

Abstract

Electroconvulsive Therapy and Psychiratric Hospital Readmission Risk Original Investigation Research Invited Commentary Use of Instrumental Variables Methods in Examining Psychiatric Readmissions Anthony T. Lo Sasso, PhD In this issue of JAMA Psychiatry, Slade et al take on difficult lyst and e indicates a set of nonpatient factors that influence questions about the effects of electroconvulsive therapy (ECT) the likelihood of ECT. The basic challenge the researchers con- on patient health outcomes. Specifically, the authors try to front is that patients with higher levels of the risk factor, r,are measure the causal effect of ECT on inpatient hospital read- both more likely to receive ECT and experience readmis- sions. We can make this relationship explicit by specifying mission for psychiatric rea- sons among patients with se- ε=r + u, where u indicates an idiosyncratic error term, and re- Related article page 798 vere psychiatric conditions. writing the overall outcome equation as: The challenge with this ques- Readmit =α+β (r + e)+(r + u). tion is that patients who receive ECT are likely different from patients who don’t receive ECT over a range of factors that may This makes the correlation between ECT and the unmea- also affect readmission risks. For

Journal

JAMA PsychiatryAmerican Medical Association

Published: Aug 28, 2017

References