Perinatal mental health disorders are a significant contributor to morbidity and mortality in childbearing women. The World Health Organization recommends all women be screened for mental health disorders postnatally and have diagnostic and management services available. There are, however, currently no global indicators in use which measure the status and progress of perinatal mental health. The aim of this scoping review was to identify existing perinatal mental health indicators and propose a core set which could be used at a global level. We used the Global Perinatal Mental Health Theory of Change as the conceptual framework. We found 25 indicators for PMH aligned with the Global Perinatal Mental Health Theory of Change, which were condensed to form a core set of nine indicators These core indicators include the proportion of women with depression, anxiety, post-traumatic stress disorder, psychosis, or adjustment disorders in the perinatal period; the proportion of women screened for these services; the proportion who have access to services following a positive diagnosis; and, the proportion of healthcare providers trained to provide mental health care. This review forms part of the foundational work for the development of a global monitoring framework which would be able to monitor progress towards the provision of universal high quality perinatal mental health care.
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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0317998 | PLOS |
JMIR Form Res
January 2025
Larner College of Medicine, University of Vermont, Burlington, VT, United States.
Background: Social media has become a widely used way for people to share opinions about health care and medical topics. Social media data can be leveraged to understand patient concerns and provide insight into why patients may turn to the internet instead of the health care system for health advice.
Objective: This study aimed to develop a method to investigate Reddit posts discussing health-related conditions.
JAMA Netw Open
January 2025
The GW Cancer Center, Washington, DC.
JAMA Netw Open
January 2025
Department of Health Behavior, Society, and Policy, School of Public Health, Rutgers University, Piscataway, New Jersey.
JAMA Netw Open
January 2025
Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California.
Importance: Limited research explores mental health disparities between individuals in sexual and gender minority (SGM) populations and cisgender heterosexual (non-SGM) populations using national-level data.
Objective: To explore mental health disparities between SGM and non-SGM populations across sexual orientation, sex assigned at birth, and gender identity within the All of Us Research Program.
Design, Setting, And Participants: This cross-sectional study used survey data and linked electronic health records of eligible All of Us Research Program participants from May 31, 2017, to June 30, 2022.
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