Common mental disorders are highly prevalent among pregnant women in low- and middle-income countries, yet prenatal anxiety remains poorly understood, particularly in the sociocultural context of South Asia. Our study explored sources, mitigators, and coping strategies for anxiety among symptomatic pregnant women in Pakistan, particularly in relation to autonomy in decision-making and social support. We interviewed 19 pregnant married women aged 18–37 years recruited from 2017–2018 at a public hospital in Rawalpindi who screened positive for anxiety. Thematic analysis was based on both inductive emergent codes and deductive a priori constructs of pregnancy-related empowerment. Gender norms emerged as an important dimension of Pakistani women’s social environment in both constraining pregnancy-related agency and contributing to prenatal anxiety. Women’s avenues of self-advocacy were largely limited to indirect means such as appeals to the husband for intercession or return to her natal home. The levels of autonomy during pregnancy depended on the area of decision-making, and peer/family support was a critical protective factor and enabling resource for maternal mental health. Women’s disempowerment is a key contextual factor in the sociocultural experience of prenatal maternal anxiety in South Asia, and further examination of the intersections between empowerment and perinatal mental illness might help inform the development of more context-specific preventive approaches.

The impact of coronavirus disease 2019 (COVID-19) on people with existing mental health conditions is likely to be high. We explored the consequences of the pandemic on women of lower socioeconomic status with prenatal anxiety symptoms living in urban Rawalpindi, Pakistan. This qualitative study was embedded within an ongoing randomized controlled trial of psychosocial intervention for prenatal anxiety at a public hospital in Rawalpindi. The participants were women with symptoms of anxiety who had received or were receiving the intervention. In total, 27 interviews were conducted; 13 women were in their third trimester of pregnancy, and 14 were in their postnatal period. The data were collected through in-depth interviews and analyzed using framework analysis. Key findings were that during the pandemic, women experienced increased perinatal anxiety that was linked to greater financial problems, uncertainties over availability of appropriate obstetric healthcare, and a lack of trust in health professionals. Women experienced increased levels of fear for their own and their baby’s health and safety, especially due to fear of infection. COVID-19 appears to have contributed to symptoms of anxiety in women already predisposed to anxiety in the prenatal period. Efforts to address women’s heightened anxiety due to the pandemic are likely to have public health benefits.

Background: Women's mental health during the perinatal period is a major public health problem in Pakistan. Many challenges and competing priorities prevent progress to address the large treatment gap. Aim To quantify the long-term impacts of untreated perinatal depression and anxiety in economic terms, thus highlighting its overall burden based on country-specific evidence. Methods: Cost estimates were generated for a hypothetical cohort of women giving birth in 2017, and their children. Women and children experiencing adverse events linked to perinatal mental health problems were modelled over 40 years. Costs assigned to adverse events included were those linked to losses in quantity and quality-of-life, productivity, and healthcare-related expenditure. Present values were derived using a discount rate of 3 %. Data were taken from published cohort studies, as well as from sources of population, economic and health indicators. Results: The total costs were $16.5 billion for the cohort and $2680 per woman giving birth. The by far largest proportion referred to quality-of-life losses ($15.8 billion). Productivity losses and out-of-pocket expenditure made up only a small proportion of the costs, due to low wages and market prices. When the costs of maternal suicide were included, total costs increased to $16.6 billion. Limitations: Important evidence gaps prevented the inclusion of all cost consequences linked to perinatal mental health problems. Conclusions: Total national costs are much higher compared with those in other, higher middle-income countries, reflecting the excessive disease burden. This study is an important first step to inform resource allocations.

Perinatal depression is highly prevalent in low- and middle-income countries (LMICs) and is associated with adverse maternal and child health consequences. Task-shared psychological and psychosocial interventions for perinatal depression have demonstrated clinical and cost-effectiveness when delivered on a large scale. However, task-sharing approaches, especially in LMICs, require an effective mechanism, whereby clients who are not likely to benefit from such interventions are identified from the outset so that they can benefit from higher intensity treatments. Such a stratified approach can ensure that limited resources are utilized appropriately and effectively. The use of standardized and easy-to-implement algorithmic devices (e.g., nomograms) could help with such targeted dissemination of interventions. The present investigation posits a prognostic model and a nomogram to predict the prognosis of perinatal depression among women in rural Pakistan. The nomogram was developed to deliver stratified model of care in primary care settings by identifying those women who respond well to a non-specialist delivered intervention and those requiring specialist care. This secondary analysis utilized data from 903 pregnant women with depression who participated in a cluster randomized, controlled trial that tested the effectiveness of the Thinking Healthy Program in rural Rawalpindi, Pakistan. The participants were recruited from 40 union councils in two sub-districts of Rawalpindi and randomly assigned to intervention and enhanced usual care. Sixteen sessions of the THP intervention were delivered by trained community health workers to women with depression over pregnancy and the postnatal period. A trained assessment team used the Structured Clinical Interview for DSM-IV current major depressive episode module to diagnose major depressive disorder at baseline and post-intervention. The intervention received by the participants emerged as the most significant predictor in the prognostic model. Among clinical factors, baseline severity of core-emotional symptoms emerged as an essential predictor, followed by atypical symptoms and insomnia. Higher severity of these symptoms was associated with a poorer prognosis. Other important predictors of a favorable prognosis included support from one’s mother or mother-in-law, financial empowerment, higher socioeconomic class, and living in a joint family system. This prognostic model yielded acceptable discrimination (c-statistic = 0.75) and calibration to aid in personalized delivery of the intervention.

Common perinatal mental disorders such as anxiety and depression are a public health concern in low- and middle-income countries. Several tools exist for screening and monitoring treatment responses, which have frequently been tested globally in clinical and research settings. However, these tools are relatively long and not practical for integration into routine data systems in most settings. This study aims to address this gap by considering three short tools: The Community Informant Detection Tool (CIDT) for the identification of women at risk, the 4-item Patient Health Questionnaire (PHQ-4) for screening women at high-risk, and the 4-item Hamilton Depression Rating Scale (HAMD-4) for measuring treatment responses. Studies in rural Pakistan showed that the CIDT offered a valid and reliable key-informant approach for the detection of perinatal depression by utilizing a network of peers and local health workers, yielding a sensitivity of 97.5% and specificity of 82.4%. The PHQ-4 had excellent psychometric properties to screen women with perinatal depression through trained community health workers, with a sensitivity of 93.4% and specificity of 91.70%. The HAMD-4 provided a good model fit and unidimensional construct for assessing intervention responses. These short, reliable, and valid tools are scalable and expected to reduce training, administrative and human resource costs to health systems.