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Predicting the Impact of the 2011 Conflict in Libya on Population Mental Health: PTSD and Depression Prevalence and Mental Health Service Requirements

BACKGROUND: Mental disorders are likely to be elevated in the Libyan population during the post-conflict period. We estimated cases of severe PTSD and depression and related health service requirements using modelling from existing epidemiological data and current recommended mental health service t...

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Autores principales: Charlson, Fiona J., Steel, Zachary, Degenhardt, Louisa, Chey, Tien, Silove, Derrick, Marnane, Claire, Whiteford, Harvey A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3396632/
https://www.ncbi.nlm.nih.gov/pubmed/22808201
http://dx.doi.org/10.1371/journal.pone.0040593
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author Charlson, Fiona J.
Steel, Zachary
Degenhardt, Louisa
Chey, Tien
Silove, Derrick
Marnane, Claire
Whiteford, Harvey A.
author_facet Charlson, Fiona J.
Steel, Zachary
Degenhardt, Louisa
Chey, Tien
Silove, Derrick
Marnane, Claire
Whiteford, Harvey A.
author_sort Charlson, Fiona J.
collection PubMed
description BACKGROUND: Mental disorders are likely to be elevated in the Libyan population during the post-conflict period. We estimated cases of severe PTSD and depression and related health service requirements using modelling from existing epidemiological data and current recommended mental health service targets in low and middle income countries (LMIC’s). METHODS: Post-conflict prevalence estimates were derived from models based on a previously conducted systematic review and meta-regression analysis of mental health among populations living in conflict. Political terror ratings and intensity of exposure to traumatic events were used in predictive models. Prevalence of severe cases was applied to chosen populations along with uncertainty ranges. Six populations deemed to be affected by the conflict were chosen for modelling: Misrata (population of 444,812), Benghazi (pop. 674,094), Zintan (pop. 40,000), displaced people within Tripoli/Zlitan (pop. 49,000), displaced people within Misrata (pop. 25,000) and Ras Jdir camps (pop. 3,700). Proposed targets for service coverage, resource utilisation and full-time equivalent staffing for management of severe cases of major depression and post-traumatic stress disorder (PTSD) are based on a published model for LMIC’s. FINDINGS: Severe PTSD prevalence in populations exposed to a high level of political terror and traumatic events was estimated at 12.4% (95%CI 8.5–16.7) and was 19.8% (95%CI 14.0–26.3) for severe depression. Across all six populations (total population 1,236,600), the conflict could be associated with 123,200 (71,600–182,400) cases of severe PTSD and 228,100 (134,000–344,200) cases of severe depression; 50% of PTSD cases were estimated to co-occur with severe depression. Based upon service coverage targets, approximately 154 full-time equivalent staff would be required to respond to these cases sufficiently which is substantially below the current level of resource estimates for these regions. DISCUSSION: This is the first attempt to predict the mental health burden and consequent service response needs of such a conflict, and is crucially timed for Libya.
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spelling pubmed-33966322012-07-17 Predicting the Impact of the 2011 Conflict in Libya on Population Mental Health: PTSD and Depression Prevalence and Mental Health Service Requirements Charlson, Fiona J. Steel, Zachary Degenhardt, Louisa Chey, Tien Silove, Derrick Marnane, Claire Whiteford, Harvey A. PLoS One Research Article BACKGROUND: Mental disorders are likely to be elevated in the Libyan population during the post-conflict period. We estimated cases of severe PTSD and depression and related health service requirements using modelling from existing epidemiological data and current recommended mental health service targets in low and middle income countries (LMIC’s). METHODS: Post-conflict prevalence estimates were derived from models based on a previously conducted systematic review and meta-regression analysis of mental health among populations living in conflict. Political terror ratings and intensity of exposure to traumatic events were used in predictive models. Prevalence of severe cases was applied to chosen populations along with uncertainty ranges. Six populations deemed to be affected by the conflict were chosen for modelling: Misrata (population of 444,812), Benghazi (pop. 674,094), Zintan (pop. 40,000), displaced people within Tripoli/Zlitan (pop. 49,000), displaced people within Misrata (pop. 25,000) and Ras Jdir camps (pop. 3,700). Proposed targets for service coverage, resource utilisation and full-time equivalent staffing for management of severe cases of major depression and post-traumatic stress disorder (PTSD) are based on a published model for LMIC’s. FINDINGS: Severe PTSD prevalence in populations exposed to a high level of political terror and traumatic events was estimated at 12.4% (95%CI 8.5–16.7) and was 19.8% (95%CI 14.0–26.3) for severe depression. Across all six populations (total population 1,236,600), the conflict could be associated with 123,200 (71,600–182,400) cases of severe PTSD and 228,100 (134,000–344,200) cases of severe depression; 50% of PTSD cases were estimated to co-occur with severe depression. Based upon service coverage targets, approximately 154 full-time equivalent staff would be required to respond to these cases sufficiently which is substantially below the current level of resource estimates for these regions. DISCUSSION: This is the first attempt to predict the mental health burden and consequent service response needs of such a conflict, and is crucially timed for Libya. Public Library of Science 2012-07-13 /pmc/articles/PMC3396632/ /pubmed/22808201 http://dx.doi.org/10.1371/journal.pone.0040593 Text en Charlson et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Charlson, Fiona J.
Steel, Zachary
Degenhardt, Louisa
Chey, Tien
Silove, Derrick
Marnane, Claire
Whiteford, Harvey A.
Predicting the Impact of the 2011 Conflict in Libya on Population Mental Health: PTSD and Depression Prevalence and Mental Health Service Requirements
title Predicting the Impact of the 2011 Conflict in Libya on Population Mental Health: PTSD and Depression Prevalence and Mental Health Service Requirements
title_full Predicting the Impact of the 2011 Conflict in Libya on Population Mental Health: PTSD and Depression Prevalence and Mental Health Service Requirements
title_fullStr Predicting the Impact of the 2011 Conflict in Libya on Population Mental Health: PTSD and Depression Prevalence and Mental Health Service Requirements
title_full_unstemmed Predicting the Impact of the 2011 Conflict in Libya on Population Mental Health: PTSD and Depression Prevalence and Mental Health Service Requirements
title_short Predicting the Impact of the 2011 Conflict in Libya on Population Mental Health: PTSD and Depression Prevalence and Mental Health Service Requirements
title_sort predicting the impact of the 2011 conflict in libya on population mental health: ptsd and depression prevalence and mental health service requirements
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3396632/
https://www.ncbi.nlm.nih.gov/pubmed/22808201
http://dx.doi.org/10.1371/journal.pone.0040593
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