IntroductionWith COVID-19, there is urgency for policymakers to understand and respond to the health needs of slum communities. Lockdowns for pandemic control have health, social and economic consequences. We consider access to healthcare before and during COVID-19 with those working and living in slum communities.MethodsIn seven slums in Bangladesh, Kenya, Nigeria and Pakistan, we explored stakeholder perspectives and experiences of healthcare access for non-COVID-19 conditions in two periods: pre-COVID-19 and during COVID-19 lockdowns.ResultsBetween March 2018 and May 2020, we engaged with 860 community leaders, residents, health workers and local authority representatives. Perceived common illnesses in all sites included respiratory, gastric, waterborne and mosquitoborne illnesses and hypertension. Pre-COVID, stakeholders described various preventive, diagnostic and treatment services, including well-used antenatal and immunisation programmes and some screening for hypertension, tuberculosis, HIV and vectorborne disease. In all sites, pharmacists and patent medicine vendors were key providers of treatment and advice for minor illnesses. Mental health services and those addressing gender-based violence were perceived to be limited or unavailable. With COVID-19, a reduction in access to healthcare services was reported in all sites, including preventive services. Cost of healthcare increased while household income reduced. Residents had difficulty reaching healthcare facilities. Fear of being diagnosed with COVID-19 discouraged healthcare seeking. Alleviators included provision of healthcare by phone, pharmacists/drug vendors extending credit and residents receiving philanthropic or government support; these were inconsistent and inadequate.ConclusionSlum residents’ ability to seek healthcare for non-COVID-19 conditions has been reduced during lockdowns. To encourage healthcare seeking, clear communication is needed about what is available and whether infection control is in place. Policymakers need to ensure that costs do not escalate and unfairly disadvantage slum communities. Remote consulting to reduce face-to-face contact and provision of mental health and gender-based violence services should be considered.

Objective The poorest populations of the world lack access to quality healthcare. We defined the key components of consulting via mobile technology (mConsulting), explored whether mConsulting can fill gaps in access to quality healthcare for poor and spatially marginalised populations (specifically rural and slum populations) of low- and middle-income countries, and considered the implications of its take-up. Methods We utilised realist methodology. First, we undertook a scoping review of mobile health literature and searched for examples of mConsulting. Second, we formed our programme theories and identified potential benefits and hazards for deployment of mConsulting for poor and spatially marginalised populations. Finally, we tested our programme theories against existing frameworks and identified published evidence on how and why these benefits/hazards are likely to accrue. Results We identified the components of mConsulting, including their characteristics and range. We discuss the implications of mConsulting for poor and spatially marginalised populations in terms of competent care, user experience, cost, workforce, technology, and the wider health system. Conclusions For the many dimensions of mConsulting, how it is structured and deployed will make a difference to the benefits and hazards of its use. There is a lack of evidence of the impact of mConsulting in populations that are poor and spatially marginalised, as most research on mConsulting has been undertaken where quality healthcare exists. We suggest that mConsulting could improve access to quality healthcare for these populations and, with attention to how it is deployed, potential hazards for the populations and wider health system could be mitigated.

Introduction Many urban residents in low- and middle-income countries live in unfavorable conditions with few healthcare facilities, calling to question the long-held view of urban advantage in health, healthcare access and utilization. We explore the patterns of healthcare utilization in these deprived neighborhoods by studying three such settlements in Nigeria. Methods The study was conducted in three slums in Southwestern Nigeria, categorized as migrant, indigenous or cosmopolitan, based on their characteristics. Using observational data of those who needed healthcare and used in-patient or out-patient services in the 12 months preceding the survey, frequencies, percentages and odds-ratios were used to show the study participants’ environmental and population characteristics, relative to their patterns of healthcare use. Results A total of 1,634 residents from the three slums participated, distributed as 763 (migrant), 459 (indigenous) and 412 (cosmopolitan). Residents from the migrant (OR = 0.70, 95%CI: 0.51 to 0.97) and indigenous (OR = 0.65, 95%CI: 0.45 to 0.93) slums were less likely to have used formal healthcare facilities than those from the cosmopolitan slum. Slum residents were more likely to use formal healthcare facilities for maternal and perinatal conditions, and generalized pains, than for communicable (OR = 0.50, 95%CI: 0.34 to 0.72) and non-communicable diseases (OR = 0.61, 95%CI: 0.41 to 0.91). The unemployed had higher odds (OR = 1.45, 95%CI: 1.08 to 1.93) of using formal healthcare facilities than those currently employed. Conclusion The cosmopolitan slum, situated in a major financial center and national economic hub, had a higher proportion of formal healthcare facility usage than the migrant and indigenous slums where about half of families were classified as poor. The urban advantage premise and Anderson behavioral model remain a practical explanatory framework, although they may not explain healthcare use in all possible slum types in Africa. A context-within-context approach is important for addressing healthcare utilization challenges in slums in sub-Saharan Africa.

This paper examines OpenStreetMap data quality at different stages of a participatory mapping process in seven slums in Africa and Asia. Data were drawn from an OpenStreetMap-based participatory mapping process developed as part of a research project focusing on understanding inequalities in healthcare access of slum residents in the Global South. Descriptive statistics and qualitative analysis were employed to examine the following research question: What is the spatial data quality of collaborative remote mapping achieved by volunteer mappers in morphologically complex urban areas? Findings show that the completeness achieved by remote mapping largely depends on the morphology and characteristics of slums such as building density and rooftop architecture, varying from 84% in the best case, to zero in the most difficult site. The major scientific contribution of this study is to provide evidence on the spatial data quality of remotely mapped data through volunteer mapping efforts in morphologically complex urban areas such as slums; the results could provide insights into how much fieldwork would be needed in what level of complexity and to what extent the involvement of local volunteers in these efforts is required.

Objective Remote or mobile consulting is being promoted to strengthen health systems, deliver universal health coverage and facilitate safe clinical communication during coronavirus disease 2019 and beyond. We explored whether mobile consulting is a viable option for communities with minimal resources in low- and middle-income countries. Methods We reviewed evidence published since 2018 about mobile consulting in low- and middle-income countries and undertook a scoping study (pre-coronavirus disease) in two rural settings (Pakistan and Tanzania) and five urban slums (Kenya, Nigeria and Bangladesh), using policy/document review, secondary analysis of survey data (from the urban sites) and thematic analysis of interviews/workshops with community members, healthcare workers, digital/telecommunications experts, mobile consulting providers, and local and national decision-makers. Project advisory groups guided the study in each country. Results We reviewed four empirical studies and seven reviews, analysed data from 5322 urban slum households and engaged with 424 stakeholders in rural and urban sites. Regulatory frameworks are available in each country. Mobile consulting services are operating through provider platforms ( n = 5–17) and, at the community level, some direct experience of mobile consulting with healthcare workers using their own phones was reported – for emergencies, advice and care follow-up. Stakeholder willingness was high, provided challenges are addressed in technology, infrastructure, data security, confidentiality, acceptability and health system integration. Mobile consulting can reduce affordability barriers and facilitate care-seeking practices. Conclusions There are indications of readiness for mobile consulting in communities with minimal resources. However, wider system strengthening is needed to bolster referrals, specialist services, laboratories and supply chains to fully realise the continuity of care and responsiveness that mobile consulting services offer, particularly during/beyond coronavirus disease 2019.

ObjectiveTo identify factors associated with accessing and utilisation of healthcare and provision of health services in slums.DesignA scoping review incorporating a conceptual framework for configuring reported factors.Data sourcesMEDLINE, Embase, CINAHL, Web of Science and the Cochrane Library were searched from their inception to December 2021 using slum-related terms.Eligibility criteriaEmpirical studies of all designs reporting relevant factors in slums in low and middle-income countries.Data extraction and synthesisStudies were categorised and data were charted according to a preliminary conceptual framework refined by emerging findings. Results were tabulated and narratively summarised.ResultsOf the 15 469 records retrieved from all years, 4368 records dated between 2016 and 2021 were screened by two independent reviewers and 111 studies were included. The majority (63 studies, 57%) were conducted in Asia, predominantly in India. In total, 104 studies examined healthcare access and utilisation from slum residents’ perspective while only 10 studies explored provision of health services from providers/planners’ perspective (three studies included both). A multitude of factors are associated with accessing, using and providing healthcare in slums, including recent migration to slums; knowledge, perception and past experience of illness, healthcare needs and health services; financial constraint and competing priorities between health and making a living; lacking social support; unfavourable physical environment and locality; sociocultural expectations and stigma; lack of official recognition; and existing problems in the health system.ConclusionThe scoping review identified a significant body of recent literature reporting factors associated with accessing, utilisation and provision of healthcare services in slums. We classified the diverse factors under seven broad categories. The findings can inform a holistic approach to improving health services in slums by tackling barriers at different levels, taking into account local context and geospatial features of individual slums.Systematic review registration numberhttps://osf.io/694t2.

ObjectiveRemote or mobile consulting (mConsulting) is being promoted to strengthen health systems, deliver universal health coverage and facilitate safe clinical communication during COVID-19 and beyond. We explored whether mConsulting is a viable option for communities with minimal resources in low- and middle-income countries (LMICs).MethodsWe reviewed evidence published since 2018 about mConsulting in LMICs and undertook a scoping study (pre-COVID) in two rural settings (Pakistan, Tanzania) and five urban slums (Kenya, Nigeria, Bangladesh), using policy/document review, secondary analysis of survey data (from the urban sites), and thematic analysis of interviews/workshops with community members, healthcare workers, digital/telecommunications experts, mConsulting providers, local and national decision-makers. Project advisory groups guided the study in each country.ResultsWe reviewed five empirical studies and seven reviews, analysed data from 5,219 urban slum households and engaged with 419 stakeholders in rural and urban sites. Regulatory frameworks are available in each country. mConsulting services are operating through provider platforms (n=5-17) and, at community-level, some direct experience of mConsulting with healthcare workers using their own phones was reported - for emergencies, advice and care follow-up. Stakeholder willingness was high, provided challenges are addressed in technology, infrastructure, data security, confidentiality, acceptability and health system integration. mConsulting can reduce affordability barriers and facilitate care-seeking practices.ConclusionsThere are indications of readiness for mConsulting in communities with minimal resources. However, wider system strengthening is needed to bolster referrals, specialist services, laboratories and supply-chains to fully realise the continuity of care and responsiveness that mConsulting services offer, particularly during/beyond COVID-19.

Background Improving the quality of primary healthcare provision is a key goal in low-and middle-income countries (LMICs). However, to develop effective quality improvement interventions, we first need to be able to accurately measure the quality of care. The methods most commonly used to measure the technical quality of care all have some key limitations in LMICs settings. Video-observation is appealing but has not yet been used in this context. We examine preliminary feasibility and acceptability of video-observation for assessing physician quality in a hospital outpatients’ department in Nigeria. We also develop measurement procedures and examine measurement characteristics. Methods Cross-sectional study at a large tertiary care hospital in Ibadan, Nigeria. Consecutive physician-patient consultations with adults and children under five seeking outpatient care were video-recorded. We also conducted brief interviews with participating physicians to gain feedback on our approach. Video-recordings were double-coded by two medically trained researchers, independent of the study team and each other, using an explicit checklist of key processes of care that we developed, from which we derived a process quality score. We also elicited a global quality rating from reviewers. Results We analysed 142 physician-patient consultations. The median process score given by both coders was 100 %. The modal overall rating category was ‘above standard’ (or 4 on a scale of 1–5). Coders agreed on which rating to assign only 44 % of the time (weighted Cohen’s kappa = 0.26). We found in three-level hierarchical modelling that the majority of variance in process scores was explained by coder disagreement. A very high correlation of 0.90 was found between the global quality rating and process quality score across all encounters. Participating physicians liked our approach, despite initial reservations about being observed. Conclusions Video-observation is feasible and acceptable in this setting, and the quality of consultations was high. However, we found that rater agreement is low but comparable to other modalities that involve expert clinician judgements about quality of care including in-person direct observation and case note review. We suggest ways to improve scoring consistency including careful rater selection and improved design of the measurement procedure for the process score.