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Creating a Multisite Perinatal Psychiatry Databank: Purpose and Development
Mental health issues during the perinatal period are common; up to 29% of pregnant and 15% of postpartum women meet psychiatric diagnostic criteria. Despite its ubiquity, little is known about the longitudinal trajectories of perinatal psychiatric illness. This paper describes a collaboration among...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765035/ https://www.ncbi.nlm.nih.gov/pubmed/33327576 http://dx.doi.org/10.3390/ijerph17249352 |
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author | Kattan, Wid Avigan, Laura Hayton, Barbara Barkin, Jennifer L. St-André, Martin Nguyen, Tuong-Vi Schwartz, Hannah Poulin, Marie-Josée Stikarovska, Irena Wolde-Giorghis, Rahel Arafah, Maria Zelkowitz, Phyllis |
author_facet | Kattan, Wid Avigan, Laura Hayton, Barbara Barkin, Jennifer L. St-André, Martin Nguyen, Tuong-Vi Schwartz, Hannah Poulin, Marie-Josée Stikarovska, Irena Wolde-Giorghis, Rahel Arafah, Maria Zelkowitz, Phyllis |
author_sort | Kattan, Wid |
collection | PubMed |
description | Mental health issues during the perinatal period are common; up to 29% of pregnant and 15% of postpartum women meet psychiatric diagnostic criteria. Despite its ubiquity, little is known about the longitudinal trajectories of perinatal psychiatric illness. This paper describes a collaboration among six perinatal mental health services in Quebec, Canada, to create an electronic databank that captures longitudinal patient data over the course of the perinatal period. The collaborating sites met to identify research interests and to select a standardized set of variables to be collected during clinical appointments. Procedures were implemented for creating a databank that serves both research and clinical purposes. The resulting databank allows pregnant and postpartum patients to complete self-report questionnaires on medical and psychosocial variables during their intake appointment in conjunction with their clinicians who fill in relevant medical information. All participants are followed until 6 months postpartum. The databank represents an opportunity to examine illness trajectories and to study rare mental disorders and the relationship between biological and psychosocial variables. |
format | Online Article Text |
id | pubmed-7765035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77650352020-12-27 Creating a Multisite Perinatal Psychiatry Databank: Purpose and Development Kattan, Wid Avigan, Laura Hayton, Barbara Barkin, Jennifer L. St-André, Martin Nguyen, Tuong-Vi Schwartz, Hannah Poulin, Marie-Josée Stikarovska, Irena Wolde-Giorghis, Rahel Arafah, Maria Zelkowitz, Phyllis Int J Environ Res Public Health Article Mental health issues during the perinatal period are common; up to 29% of pregnant and 15% of postpartum women meet psychiatric diagnostic criteria. Despite its ubiquity, little is known about the longitudinal trajectories of perinatal psychiatric illness. This paper describes a collaboration among six perinatal mental health services in Quebec, Canada, to create an electronic databank that captures longitudinal patient data over the course of the perinatal period. The collaborating sites met to identify research interests and to select a standardized set of variables to be collected during clinical appointments. Procedures were implemented for creating a databank that serves both research and clinical purposes. The resulting databank allows pregnant and postpartum patients to complete self-report questionnaires on medical and psychosocial variables during their intake appointment in conjunction with their clinicians who fill in relevant medical information. All participants are followed until 6 months postpartum. The databank represents an opportunity to examine illness trajectories and to study rare mental disorders and the relationship between biological and psychosocial variables. MDPI 2020-12-14 2020-12 /pmc/articles/PMC7765035/ /pubmed/33327576 http://dx.doi.org/10.3390/ijerph17249352 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kattan, Wid Avigan, Laura Hayton, Barbara Barkin, Jennifer L. St-André, Martin Nguyen, Tuong-Vi Schwartz, Hannah Poulin, Marie-Josée Stikarovska, Irena Wolde-Giorghis, Rahel Arafah, Maria Zelkowitz, Phyllis Creating a Multisite Perinatal Psychiatry Databank: Purpose and Development |
title | Creating a Multisite Perinatal Psychiatry Databank: Purpose and Development |
title_full | Creating a Multisite Perinatal Psychiatry Databank: Purpose and Development |
title_fullStr | Creating a Multisite Perinatal Psychiatry Databank: Purpose and Development |
title_full_unstemmed | Creating a Multisite Perinatal Psychiatry Databank: Purpose and Development |
title_short | Creating a Multisite Perinatal Psychiatry Databank: Purpose and Development |
title_sort | creating a multisite perinatal psychiatry databank: purpose and development |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765035/ https://www.ncbi.nlm.nih.gov/pubmed/33327576 http://dx.doi.org/10.3390/ijerph17249352 |
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