Anxiety in pregnancy and after giving birth (the perinatal period) is highly prevalent but under-recognised. Robust methods of assessing perinatal anxiety are essential for services to identify and treat women appropriately.

To determine which assessment measures are most psychometrically robust and effective at identifying women with perinatal anxiety (primary objective) and depression (secondary objective).

We conducted a prospective longitudinal cohort study of 2243 women who completed five measures of anxiety and depression (Generalized Anxiety Disorder scale (GAD) two- and seven-item versions; Whooley questions; Clinical Outcomes in Routine Evaluation (CORE-10); and Stirling Antenatal Anxiety Scale (SAAS)) during pregnancy (15 weeks, 22 weeks and 31 weeks) and after birth (6 weeks). To assess diagnostic accuracy a sample of 403 participants completed modules of the Mini-International Neuropsychiatric Interview (MINI).

The best diagnostic accuracy for anxiety was shown by the CORE-10 and SAAS. The best diagnostic accuracy for depression was shown by the CORE-10, SAAS and Whooley questions, although the SAAS had lower specificity. The same cut-off scores for each measure were optimal for identifying anxiety or depression (SAAS ≥9; CORE-10 ≥9; Whooley ≥1). All measures were psychometrically robust, with good internal consistency, convergent validity and unidimensional factor structure.

This study identified robust and effective methods of assessing perinatal anxiety and depression. We recommend using the CORE-10 or SAAS to assess perinatal anxiety and the CORE-10 or Whooley questions to assess depression. The GAD-2 and GAD-7 did not perform as well as other measures and optimal cut-offs were lower than currently recommended.

Perinatal mental health (PMH) problems are a leading cause of maternal death and increase the risk of poor outcomes for women and their families. It is therefore important to identify the barriers and facilitators to implementing and accessing PMH care.

To develop a conceptual framework of barriers and facilitators to PMH care to inform PMH services.

Relevant literature was systematically identified, categorised and mapped onto the framework. The framework was then validated through evaluating confidence with the evidence base and feedback from stakeholders (women and families, health professionals, commissioners and policy makers).

Barriers and facilitators to PMH care were identified at seven levels: individual (e.g. beliefs about mental illness), health professional (e.g. confidence addressing perinatal mental illness), interpersonal (e.g. relationship between women and health professionals), organisational (e.g. continuity of carer), commissioner (e.g. referral pathways), political (e.g. women's economic status) and societal (e.g. stigma). The MATRIx conceptual frameworks provide pictorial representations of 66 barriers and 39 facilitators to PMH care.

The MATRIx frameworks highlight the complex interplay of individual and system-level factors across different stages of the care pathway that influence women accessing PMH care and effective implementation of PMH services. Recommendations are made for health policy and practice. These include using the conceptual frameworks to inform comprehensive, strategic and evidence-based approaches to PMH care; ensuring care is easy to access and flexible; providing culturally sensitive care; adequate funding of services and quality training for health professionals, with protected time to complete it.

Mobile produce markets (MPM) offering Supplemental Nutrition Assistance Program (SNAP) incentive programmes have the potential to provide accessible and affordable fruits and vegetables (FV) to populations at risk of food insecurity. The objective of this study is to characterise the customer base of an MPM and describe their participation at twelve market sites serving low-income seniors.

In 2018, customers from an MPM in Rhode Island (RI) participated in a cross-sectional survey (n 330; 68 % response rate), which measured dietary patterns, food security and food shopping behaviours. We compared the shopping habits and market experiences of customers who currently received SNAP benefits with those who did not currently receive SNAP benefits.

An MPM in RI which offers a 50 % discount for FV purchased with SNAP benefits.

This study describes current market customers at twelve market sites serving low-income seniors.

Market customers were mostly low-income, female, over the age of 50 years and Hispanic/Latino. Most customers received SNAP benefits, and almost half were food insecure. In addition, three quarters of SNAP customers reported their SNAP benefits last longer since shopping at the markets. Mixed logistic regression models indicated that SNAP customers were more likely to report buying and eating more FV than non-SNAP customers.

MPM are critical resources of affordable produce and have been successful in improving access to FV among individuals of low socio-economic status in RI. This case study can inform policy and programme recommendations for MPM and SNAP incentive programmes.