Cargando…
Exploring the psychometric properties of the professional issues in maternal mental health scale (PIMMHS) in a Chinese population
BACKGROUND: The public health and economic implications of perinatal mental health problems are well documented. Maternity clinicians are ideally placed to effectively identify women at risk and facilitate early intervention. However, in China as globally a number of issues are implicated in a failu...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10044366/ https://www.ncbi.nlm.nih.gov/pubmed/36973784 http://dx.doi.org/10.1186/s12955-023-02106-0 |
_version_ | 1784913344087457792 |
---|---|
author | Lin, Lu Guo, Huimin Fang, Qian Martin, Colin R. Jin, Aiying Xie, Congyan Tian, Li Jomeen, Julie |
author_facet | Lin, Lu Guo, Huimin Fang, Qian Martin, Colin R. Jin, Aiying Xie, Congyan Tian, Li Jomeen, Julie |
author_sort | Lin, Lu |
collection | PubMed |
description | BACKGROUND: The public health and economic implications of perinatal mental health problems are well documented. Maternity clinicians are ideally placed to effectively identify women at risk and facilitate early intervention. However, in China as globally a number of issues are implicated in a failure to recognise and treat. AIM: The present study sought to develop and evaluate the Chinese version ‘professional issues in maternal mental health’ scale (PIMMHS), explore its psychometric properties and potential application. METHODS: A cross-sectional design and instrument translation and evaluation approach was taken to investigate the psychometric properties of the PIMMHS in a Chinese population. A total of 598 obstetricians, obstetric nurses, and midwives participated in this study from 26 hospitals across China. FINDINGS: The Chinese PIMMHS was not a good fit to the original two factor model. The emotion/communication subscale yielded an excellent fit to the data according to all fit indices, offering compelling evidence for a single factor solution. The training (PIMMHS: Training), proved problematic throughout the analysis with divergent validity for the training subscale also being poor with a concomitant impact on the total scale performance. The performance of this subscale may be related to the nature of medical training and PMH. CONCLUSION: The Chinese PIMMHS comprises a unidimensional scale of emotion/ communication, which is simple and may provide insight into the emotional burden of providing PMH care, with the potential to mitigate that burden. Further development and investigation of the training sub-scale could be of value. |
format | Online Article Text |
id | pubmed-10044366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100443662023-03-29 Exploring the psychometric properties of the professional issues in maternal mental health scale (PIMMHS) in a Chinese population Lin, Lu Guo, Huimin Fang, Qian Martin, Colin R. Jin, Aiying Xie, Congyan Tian, Li Jomeen, Julie Health Qual Life Outcomes Research BACKGROUND: The public health and economic implications of perinatal mental health problems are well documented. Maternity clinicians are ideally placed to effectively identify women at risk and facilitate early intervention. However, in China as globally a number of issues are implicated in a failure to recognise and treat. AIM: The present study sought to develop and evaluate the Chinese version ‘professional issues in maternal mental health’ scale (PIMMHS), explore its psychometric properties and potential application. METHODS: A cross-sectional design and instrument translation and evaluation approach was taken to investigate the psychometric properties of the PIMMHS in a Chinese population. A total of 598 obstetricians, obstetric nurses, and midwives participated in this study from 26 hospitals across China. FINDINGS: The Chinese PIMMHS was not a good fit to the original two factor model. The emotion/communication subscale yielded an excellent fit to the data according to all fit indices, offering compelling evidence for a single factor solution. The training (PIMMHS: Training), proved problematic throughout the analysis with divergent validity for the training subscale also being poor with a concomitant impact on the total scale performance. The performance of this subscale may be related to the nature of medical training and PMH. CONCLUSION: The Chinese PIMMHS comprises a unidimensional scale of emotion/ communication, which is simple and may provide insight into the emotional burden of providing PMH care, with the potential to mitigate that burden. Further development and investigation of the training sub-scale could be of value. BioMed Central 2023-03-27 /pmc/articles/PMC10044366/ /pubmed/36973784 http://dx.doi.org/10.1186/s12955-023-02106-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lin, Lu Guo, Huimin Fang, Qian Martin, Colin R. Jin, Aiying Xie, Congyan Tian, Li Jomeen, Julie Exploring the psychometric properties of the professional issues in maternal mental health scale (PIMMHS) in a Chinese population |
title | Exploring the psychometric properties of the professional issues in maternal mental health scale (PIMMHS) in a Chinese population |
title_full | Exploring the psychometric properties of the professional issues in maternal mental health scale (PIMMHS) in a Chinese population |
title_fullStr | Exploring the psychometric properties of the professional issues in maternal mental health scale (PIMMHS) in a Chinese population |
title_full_unstemmed | Exploring the psychometric properties of the professional issues in maternal mental health scale (PIMMHS) in a Chinese population |
title_short | Exploring the psychometric properties of the professional issues in maternal mental health scale (PIMMHS) in a Chinese population |
title_sort | exploring the psychometric properties of the professional issues in maternal mental health scale (pimmhs) in a chinese population |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10044366/ https://www.ncbi.nlm.nih.gov/pubmed/36973784 http://dx.doi.org/10.1186/s12955-023-02106-0 |
work_keys_str_mv | AT linlu exploringthepsychometricpropertiesoftheprofessionalissuesinmaternalmentalhealthscalepimmhsinachinesepopulation AT guohuimin exploringthepsychometricpropertiesoftheprofessionalissuesinmaternalmentalhealthscalepimmhsinachinesepopulation AT fangqian exploringthepsychometricpropertiesoftheprofessionalissuesinmaternalmentalhealthscalepimmhsinachinesepopulation AT martincolinr exploringthepsychometricpropertiesoftheprofessionalissuesinmaternalmentalhealthscalepimmhsinachinesepopulation AT jinaiying exploringthepsychometricpropertiesoftheprofessionalissuesinmaternalmentalhealthscalepimmhsinachinesepopulation AT xiecongyan exploringthepsychometricpropertiesoftheprofessionalissuesinmaternalmentalhealthscalepimmhsinachinesepopulation AT tianli exploringthepsychometricpropertiesoftheprofessionalissuesinmaternalmentalhealthscalepimmhsinachinesepopulation AT jomeenjulie exploringthepsychometricpropertiesoftheprofessionalissuesinmaternalmentalhealthscalepimmhsinachinesepopulation |