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Sex Differences in Determinants of Suicide Risk Preceding Psychiatric Admission: An Electronic Medical Record Study
BACKGROUND: Individuals requiring inpatient psychiatric care represent a group at higher risk of progressing toward suicide attempt. Using electronic medical record (EMR) data collected from psychiatric inpatient admissions, the objective of this study was to identify sex differences in risk factors...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9196272/ https://www.ncbi.nlm.nih.gov/pubmed/35711595 http://dx.doi.org/10.3389/fpsyt.2022.892225 |
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author | McQuaid, Robyn J. Nikolitch, Katerina Vandeloo, Katie L. Burhunduli, Patricia Phillips, Jennifer L. |
author_facet | McQuaid, Robyn J. Nikolitch, Katerina Vandeloo, Katie L. Burhunduli, Patricia Phillips, Jennifer L. |
author_sort | McQuaid, Robyn J. |
collection | PubMed |
description | BACKGROUND: Individuals requiring inpatient psychiatric care represent a group at higher risk of progressing toward suicide attempt. Using electronic medical record (EMR) data collected from psychiatric inpatient admissions, the objective of this study was to identify sex differences in risk factors for suicide plans and/or attempts within the 30 days preceding hospital admission. METHODS: Resident Assessment Instrument for Mental Health (RAI-MH) intake data were obtained for patients admitted to a Canadian tertiary-care hospital deemed a “threat or danger to self” during a 10-year period (2008–2018). Data was extracted for individuals categorized into three groups: non-suicidal (N = 568), presence of suicide plan (N = 178), and presence of suspected suicide attempt (N = 124) in the 30 days prior to hospital admission. Multivariate logistic regression models were used to examine determinants of suicide risk. RESULTS: Across all models, diagnosis of depression was the strongest predictor of suicide plan and/or attempt (OR = 5.54, 95% CI = 3.71–8.27, p < 0.001). Comparing clinical symptoms between suicidal and non-suicidal groups at the time of admission, the largest effect sizes were found for hopelessness (p < 0.001, η(2) = 0.11), and guilt or shame (p < 0.001, η(2) = 0.09). Female sex was identified as a significant factor for elevated suicidal risk (OR = 1.56, 95% CI = 1.01–2.21, p = 0.01), thus we stratified the regression model by sex to identify specific risk factors for suicide plan and/or attempt for males and females. Among males, having no confidant (OR = 2.13, 95% CI = 1.19–3.80, p = 0.01), presence of recent stressors (OR = 1.95, 95% CI = 1.16–3.29, p = 0.01), and participation in social activities (OR = 1.67, 95% CI = 1.02–2.71, p = 0.04) were important predictors, while among females, younger age (OR = 0.96, 95% CI = 0.94–0.97, p < 0.001) increased odds of suicide plan and/or attempt. CONCLUSION: EMR-derived findings highlight different psychosocial and clinical determinants for males and females associated with suicide plan or attempt prior to psychiatric admission. Identifying precipitating factors that elevate imminent suicide risk may inform suicide prevention efforts for psychiatric inpatients. |
format | Online Article Text |
id | pubmed-9196272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91962722022-06-15 Sex Differences in Determinants of Suicide Risk Preceding Psychiatric Admission: An Electronic Medical Record Study McQuaid, Robyn J. Nikolitch, Katerina Vandeloo, Katie L. Burhunduli, Patricia Phillips, Jennifer L. Front Psychiatry Psychiatry BACKGROUND: Individuals requiring inpatient psychiatric care represent a group at higher risk of progressing toward suicide attempt. Using electronic medical record (EMR) data collected from psychiatric inpatient admissions, the objective of this study was to identify sex differences in risk factors for suicide plans and/or attempts within the 30 days preceding hospital admission. METHODS: Resident Assessment Instrument for Mental Health (RAI-MH) intake data were obtained for patients admitted to a Canadian tertiary-care hospital deemed a “threat or danger to self” during a 10-year period (2008–2018). Data was extracted for individuals categorized into three groups: non-suicidal (N = 568), presence of suicide plan (N = 178), and presence of suspected suicide attempt (N = 124) in the 30 days prior to hospital admission. Multivariate logistic regression models were used to examine determinants of suicide risk. RESULTS: Across all models, diagnosis of depression was the strongest predictor of suicide plan and/or attempt (OR = 5.54, 95% CI = 3.71–8.27, p < 0.001). Comparing clinical symptoms between suicidal and non-suicidal groups at the time of admission, the largest effect sizes were found for hopelessness (p < 0.001, η(2) = 0.11), and guilt or shame (p < 0.001, η(2) = 0.09). Female sex was identified as a significant factor for elevated suicidal risk (OR = 1.56, 95% CI = 1.01–2.21, p = 0.01), thus we stratified the regression model by sex to identify specific risk factors for suicide plan and/or attempt for males and females. Among males, having no confidant (OR = 2.13, 95% CI = 1.19–3.80, p = 0.01), presence of recent stressors (OR = 1.95, 95% CI = 1.16–3.29, p = 0.01), and participation in social activities (OR = 1.67, 95% CI = 1.02–2.71, p = 0.04) were important predictors, while among females, younger age (OR = 0.96, 95% CI = 0.94–0.97, p < 0.001) increased odds of suicide plan and/or attempt. CONCLUSION: EMR-derived findings highlight different psychosocial and clinical determinants for males and females associated with suicide plan or attempt prior to psychiatric admission. Identifying precipitating factors that elevate imminent suicide risk may inform suicide prevention efforts for psychiatric inpatients. Frontiers Media S.A. 2022-05-27 /pmc/articles/PMC9196272/ /pubmed/35711595 http://dx.doi.org/10.3389/fpsyt.2022.892225 Text en Copyright © 2022 McQuaid, Nikolitch, Vandeloo, Burhunduli and Phillips. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry McQuaid, Robyn J. Nikolitch, Katerina Vandeloo, Katie L. Burhunduli, Patricia Phillips, Jennifer L. Sex Differences in Determinants of Suicide Risk Preceding Psychiatric Admission: An Electronic Medical Record Study |
title | Sex Differences in Determinants of Suicide Risk Preceding Psychiatric Admission: An Electronic Medical Record Study |
title_full | Sex Differences in Determinants of Suicide Risk Preceding Psychiatric Admission: An Electronic Medical Record Study |
title_fullStr | Sex Differences in Determinants of Suicide Risk Preceding Psychiatric Admission: An Electronic Medical Record Study |
title_full_unstemmed | Sex Differences in Determinants of Suicide Risk Preceding Psychiatric Admission: An Electronic Medical Record Study |
title_short | Sex Differences in Determinants of Suicide Risk Preceding Psychiatric Admission: An Electronic Medical Record Study |
title_sort | sex differences in determinants of suicide risk preceding psychiatric admission: an electronic medical record study |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9196272/ https://www.ncbi.nlm.nih.gov/pubmed/35711595 http://dx.doi.org/10.3389/fpsyt.2022.892225 |
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