Evidence indicates that mental health issues like depression, epilepsy, and substance misuse can be detected with reasonable accuracy in resource-poor settings. The Community Informant Detection Tool (CIDT) is one such approach used for detecting mental health problems, including depression. We adapted this community informant approach for detecting maternal depression in Pakistan. Adaptation of Community Informant Detection Tool for Maternal Depression (CIDT-MD) involved five steps. First, a scoping review of the literature was conducted to select an appropriate tool for adaptation. Second, in-depth interviews were conducted to explore the idioms of depression and distress, perceived causes, and the effects of maternal depression among currently depressed and recovered mothers ( = 11), mothers in law ( = 6), and Primary Care Providers (Primary Care Physicians and Lady Health Supervisors) ( = 6). Third, case vignettes and illustrations were created with input from a panel of mental health experts, incorporating the idioms of depression and distress used, causes, and effects for each symptom described. Fourth, to assess the comprehensibility of the illustrations and level of understanding, Focus Group Discussions ( = 4) were done with purposely selected community health workers (Lady Health Workers and Lay Peers, = 28) trained in delivering maternal depression intervention. The final step was reflection and inputs by a panel of mental health experts on all steps to finalize the content of the tool. Context-specific cultural adaptation in the presentation and format of CIDT-MD was conducted successfully. Lady Health Workers (LHW) and Lay Peers (LP) were found to be the most appropriate persons to use the tool and function as the informants. The adapted tool with all its vignettes and illustrations was found to be easily understandable, comprehensible, and culturally appropriate, meaningful, and contextually relevant by the community health workers and peers working in the relevant settings. They easily relate to and identify potentially depressed such women lining up with the tool. Lastly, the coding of the tool was found easy to follow as well. The Community Informant Detection Tool for Maternal Depression (CIDT-MD) is a culturally acceptable, easy to use, and comprehensible tool for detecting maternal depression in community settings of Pakistan. The community informants found the content and approach highly relevant to the local needs.
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http://dx.doi.org/10.3389/fpsyt.2021.598857 | DOI Listing |
J Affect Disord
January 2025
Lusófona University, HEI-Lab: Digital Human-Environment Interaction Labs, Portugal. Electronic address:
Assessing Fear of Birth Scale's (FOBS) psychometric properties in the perinatal period using multicountry data is a step toward effectively screen clinically significant fear of childbirth (FOC) in maternal healthcare settings. FOBS psychometric properties were analyzed in women in the perinatal period using data from Australia, Germany, Lithuania, Poland, and Portugal. FOBS' reliability, criterion (known group and convergent), concurrent, predictive, and clinical validity were analyzed.
View Article and Find Full Text PDFJ Psychiatr Res
January 2025
Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, Jiangsu, China. Electronic address:
Objectives: Postpartum depression (PPD) is widely acknowledged as a significant mental health problem for postpartum women, and several factors have been associated with PPD. This study aimed to assess the prevalence of PPD and explore the factors and relationships associated with PPD symptoms in postpartum women using path analysis. Furthermore, a new framework for PPD modeling for postpartum women was introduced.
View Article and Find Full Text PDFJ Int Med Res
January 2025
Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Objective: To evaluate whether there is an association between maternal mental health, purchase of psychotropic drugs, socioeconomic status and major congenital anomalies in offspring.
Methods: A register-based cohort study of 6189 Finnish primiparous women who had a singleton delivery between 2009 and 2015. Data on pregnancy and delivery outcomes, psychiatric diagnosis, prescription drug purchases and offspring congenital anomalies were obtained from Finnish national registers.
Digit Health
October 2024
Department of Psychiatry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Background: Mental health care during the postpartum period is notably underexplored within Asian demographics, with barriers such as stigma, privacy concerns, logistical challenges, and a shortage of mental health professionals that limits access to optimal mental healthcare. Previous studies found that mobile health (mHealth) technology has been offering a promising solution to these issues. However, the perspectives of mothers on existing mental health services and their mHealth needs are still not well understood and warrant further exploration.
View Article and Find Full Text PDFFront Child Adolesc Psychiatry
September 2024
Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Objectives: The prevalence of many psychiatric symptoms, including anxiety and depression, is higher in individuals born extremely preterm (EP) than in term-born individuals during childhood and adolescence. In this prospective study of adolescents born EP, we examined associations between early-life risk factors (prenatal maternal health conditions, socioeconomic and social factors) and anxiety and depression at 15 years of age.
Methods: We included 682 participants (53.
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