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A Promising New Strategy to Improve Treatment Outcomes for Patients with Depression
Each year, ineffective medical management of patients with mental illness compromises the health and well-being of individuals, and also impacts communities and our society. A variety of interrelated factors have impeded the health system's ability to treat patients with behavior health conditi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc., publishers
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555180/ https://www.ncbi.nlm.nih.gov/pubmed/30156460 http://dx.doi.org/10.1089/pop.2018.0101 |
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author | Carpenter, George Harbin, Henry T. Smith, Robin L. Hornberger, John Nash, David B. |
author_facet | Carpenter, George Harbin, Henry T. Smith, Robin L. Hornberger, John Nash, David B. |
author_sort | Carpenter, George |
collection | PubMed |
description | Each year, ineffective medical management of patients with mental illness compromises the health and well-being of individuals, and also impacts communities and our society. A variety of interrelated factors have impeded the health system's ability to treat patients with behavior health conditions adequately. A key contributing factor is a lack of objective markers to help predict patient response to specific drugs that has led to patterns of “trial and error” prescribing. For many years, clinicians have sought objective data (eg, a laboratory or imaging test) to assist them in selecting appropriate treatments for individual patients. Electroencephalogram (EEG) findings coupled with medication outcomes data may provide a solution. “Crowdsourced” physician registries that reference clinical outcomes to individual patient physiology have been used successfully for cancers. These techniques are now being explored in the context of behavioral health care. The Psychiatric EEG Evaluation Registry (PEER) is one such approach. PEER is a clinical phenotypic database comprising more than 11,000 baseline EEGs and more than 39,000 outcomes of medication treatment for a variety of mental health diagnoses. Collective findings from 45 studies (3130 patients) provide compelling evidence for PEER as a relatively simple, inexpensive predictor of likely patient response to specific antidepressants and likely treatment-related side effects (including suicidal ideation). |
format | Online Article Text |
id | pubmed-6555180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Mary Ann Liebert, Inc., publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-65551802019-06-07 A Promising New Strategy to Improve Treatment Outcomes for Patients with Depression Carpenter, George Harbin, Henry T. Smith, Robin L. Hornberger, John Nash, David B. Popul Health Manag Original Articles Each year, ineffective medical management of patients with mental illness compromises the health and well-being of individuals, and also impacts communities and our society. A variety of interrelated factors have impeded the health system's ability to treat patients with behavior health conditions adequately. A key contributing factor is a lack of objective markers to help predict patient response to specific drugs that has led to patterns of “trial and error” prescribing. For many years, clinicians have sought objective data (eg, a laboratory or imaging test) to assist them in selecting appropriate treatments for individual patients. Electroencephalogram (EEG) findings coupled with medication outcomes data may provide a solution. “Crowdsourced” physician registries that reference clinical outcomes to individual patient physiology have been used successfully for cancers. These techniques are now being explored in the context of behavioral health care. The Psychiatric EEG Evaluation Registry (PEER) is one such approach. PEER is a clinical phenotypic database comprising more than 11,000 baseline EEGs and more than 39,000 outcomes of medication treatment for a variety of mental health diagnoses. Collective findings from 45 studies (3130 patients) provide compelling evidence for PEER as a relatively simple, inexpensive predictor of likely patient response to specific antidepressants and likely treatment-related side effects (including suicidal ideation). Mary Ann Liebert, Inc., publishers 2019-06-01 2019-05-30 /pmc/articles/PMC6555180/ /pubmed/30156460 http://dx.doi.org/10.1089/pop.2018.0101 Text en © George Carpenter et al. 2018; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Carpenter, George Harbin, Henry T. Smith, Robin L. Hornberger, John Nash, David B. A Promising New Strategy to Improve Treatment Outcomes for Patients with Depression |
title | A Promising New Strategy to Improve Treatment Outcomes for Patients with Depression |
title_full | A Promising New Strategy to Improve Treatment Outcomes for Patients with Depression |
title_fullStr | A Promising New Strategy to Improve Treatment Outcomes for Patients with Depression |
title_full_unstemmed | A Promising New Strategy to Improve Treatment Outcomes for Patients with Depression |
title_short | A Promising New Strategy to Improve Treatment Outcomes for Patients with Depression |
title_sort | promising new strategy to improve treatment outcomes for patients with depression |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555180/ https://www.ncbi.nlm.nih.gov/pubmed/30156460 http://dx.doi.org/10.1089/pop.2018.0101 |
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