ContributorsKH and AR led conceptualisation and drafting of the paper. AD led the study on nurses in Uttar Pradesh, ND the study on accredited social health activists in Uttar Pradesh, HW and JR the study on community health workers and community health worker policy in Sierra Leone, LM, JK, and AR the study on gender parity in the global physician workforce, and KH, YA, and NS the study on selfhelp groups in India. FS and RF-M led development of the case on the nurse from eSwatini. VP, RH, and EBa did the systematic literature review on health systems models. JGS and AR led the systematic review on gender transformative clinical interventions. KH, LM, JK, FS, RF-M, AD, YA, JY, EBl, NB, JGS, and AR did the critical reviews of the literature on gender inequalities and gender norms affecting health and helped draft pieces of those reviews, with consideration of diverse geographic contexts. All authors offered critical inputs and reviews of this work, contributed intellectual and substantive revisions to the writing, and provided final approval of the submitted version.

Purpose Depression, one of the most common mental disorders, is up-surging worldwide amid the ongoing coronavirus disease 2019 (COVID-19) pandemic, especially among the older population. This study aims to measure prevalent depressive symptoms and its associates among older adults amid the COVID-19 pandemic in Bangladesh. Methods This cross-sectional study was carried out among 1032 older Bangladeshi adults, aged 60 years and above, through telephone interviews in October 2020. We used a semi-structured questionnaire to collect data on participants’ socio-demographic and lifestyle characteristics, pre-existing medical conditions, and COVID-19-related information. Meanwhile, depressive symptoms were measured using the 15-item Geriatric Depression Scale (GDS-15). The binary logistic regression model was used to identify the factors associated with depressive symptoms. Results Two-in-five participants showed depressive symptoms on the GDS-15 scale. Poor socioeconomic characteristic such as low family income, dependency on the family for living, recipient of financial support during the pandemic was associated with higher odds of depressive symptoms. Participants with pre-existing medical conditions had 91% higher odds of depressive symptoms. Social isolation, captured in terms of living alone (aOR = 2.11, 95% CI 1.11–4.01), less frequent communication during pandemic (aOR = 1.55, 95% CI 1.07–2.26), perceived loneliness (aOR = 2.25, 95% CI 1.47–3.45), and isolation from others (aOR = 2.45, 95% CI 1.62–3.70) were associated with higher odds of depressive symptoms. Conclusions Our study found a sizeable proportion of study participants with depressive symptoms amidst the ongoing pandemic. The findings of the present study call for the urgent need for mental health support package targeting this vulnerable group of population.

The world is now predominantly urban; rapid and uncontrolled urbanisation continues across low-income and middle-income countries (LMICs). Health systems are struggling to respond to the challenges that urbanisation brings. While better-off urbanites can reap the benefits from the ‘urban advantage’, the poorest, particularly slum dwellers and the homeless, frequently experience worse health outcomes than their rural counterparts. In this position paper, we analyse the challenges urbanisation presents to health systems by drawing on examples from four LMICs: Nigeria, Ghana, Nepal and Bangladesh. Key challenges include: responding to the rising tide of non-communicable diseases and to the wider determinants of health, strengthening urban health governance to enable multisectoral responses, provision of accessible, quality primary healthcare and prevention from a plurality of providers. We consider how these challenges necessitate a rethink of our conceptualisation of health systems. We propose an urban health systems model that focuses on: multisectoral approaches that look beyond the health sector to act on the determinants of health; accountability to, and engagement with, urban residents through participatory decision making; and responses that recognise the plurality of health service providers. Within this model, we explicitly recognise the role of data and evidence to act as glue holding together this complex system and allowing incremental progress in equitable improvement in the health of urban populations.

Limited progress has been made so far to address the emerging public health threat posed by SLT consumption in South Asia. International and regional cooperation is required to advocate for effective policy and to address knowledge gaps.