Background: Explanatory models (EMs) influence decision-making related to treatment and compliance. There is little knowledge about belief systems related to postpartum psychosis in different cultures.

Aims: To study EMs of illness among women with postpartum psychosis and their family members in India.

Method: A total of 123 women with postpartum psychosis and their caregivers were assessed to understand their beliefs regarding causes of postpartum psychosis using Short Explanatory Model Interview (SEMI). Local names were listed and emerging themes were analysed.

Results: Respondents often held more than one EM and only one-third held a biomedical EM. Other common models included stressors unique to childbirth, marital stress and supernatural causes. Local names reflected the underlying models.

Conclusion: Non-biomedical EMs are common in women with postpartum psychosis. Cultural and social factors unique to childbirth appear to influence these models. There is a need to enhance awareness and knowledge about this serious disorder in the community.

Download full-text PDF

Source
http://dx.doi.org/10.1177/0020764015597016DOI Listing

Publication Analysis

Top Keywords

postpartum psychosis
24
women postpartum
12
explanatory models
8
local names
8
unique childbirth
8
postpartum
6
psychosis
6
name? causative
4
causative explanatory
4
models
4

Similar Publications

Background And Objectives: Peripartum mood and anxiety disorders constitute the most frequent form of maternal morbidity in the general population, but little is known about peripartum mental illness in mothers with multiple sclerosis (MS). We compared the incidence and prevalence of peripartum mental illness among mothers with MS, epilepsy, inflammatory bowel disease (IBD), and diabetes and women without these conditions.

Methods: Using linked population-based administrative health data from ON, Canada, we conducted a cohort study of mothers with MS, epilepsy, IBD, and diabetes and without these diseases (comparators) who had a live birth with index dates, defined as 1 year before conception, between 2002 and 2017.

View Article and Find Full Text PDF

This is the first bottom-up review of the lived experience of postpartum depression and psychosis in women. The study has been co-designed, co-conducted and co-written by experts by experience and academics, drawing on first-person accounts within and outside the medical field. The material initially identified was shared with all participants in a cloud-based system, discussed across the research team, and enriched by phenomenological insights.

View Article and Find Full Text PDF

Antipsychotic continuation during pregnancy and risk of postpartum relapse in women with schizophrenia: nationwide register-based study.

Br J Psychiatry

January 2025

Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea; Department of Public Health, Graduate School, Yonsei University, Seoul, Korea; Center for Global Health, Massachusetts General Hospital, Boston, Massachusetts, USA; and Harvard Center for Population and Development Studies, Cambridge, Massachusetts, USA.

Background: Women with schizophrenia frequently discontinue antipsychotic medications during pregnancy. However, evidence on the risk of postpartum relapse associated with antipsychotic use during pregnancy is lacking.

Aims: To investigate the within-individual association between antipsychotic continuation during pregnancy and postpartum relapse in women with schizophrenia.

View Article and Find Full Text PDF

Purpose: This study investigates mental health-related content to delineate potentially deficient topics for improvement in future obstetrics and gynecology (OBGYN) resident educational curriculum initiatives.

Method: In this quantitative content analysis, educational resources commonly used by OBGYN residents were selected based on a 2020 multi-institutional survey of OBGYN residents and informal group discussion with 32 OBGYN residents from a New York academic institution in April 2020. After independent screening, the authors iteratively developed, tested, and implemented a coding scheme for relevant keywords.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!