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ObjectiveHealthcare utilisation (HU) is key to improving the health of residents in urban informal settlements. This study aimed to explore household-level factors influencing HU among informal settlement households in Freetown, Sierra Leone.DesignCross-sectional survey.SettingThree informal settlements (Cockle Bay, Dwarzark and Moyiba) in Freetown, Sierra Leone.ParticipantsPrimary data from 4871 households were collected during the Health and Wellbeing survey conducted between April and May 2023, targeting households with adults aged 18 years and older.Primary outcome measuresThe primary outcomes were households HU both within and outside informal settlements. Household-level predisposing and enabling explanatory variables were derived from Andersen’s Behavioural Model of HU.ResultsDisability in households increases HU within settlements (especially in Dwarzark, 13% and Moyiba, 10%) but is less likely outside. Households engaged in income-generating activities are more likely to seek healthcare within settlements, but 12% less likely outside in Cockle Bay and Dwarzark. Food insecurity decreases HU within Dwarzark (9%) and increases HU outside by 174% in Moyiba. Longer water fetching times and water shortages were associated with higher HU (between 6% and 16%) within settlements, especially in Cockle Bay and Dwarzark. Clean water sources (eg, piped dwelling, bowser, surface, bottled) were consistently associated with higher HU both within and outside settlements. Shared sanitation facilities (such as shared toilets) were positively associated with HU both within and outside settlements, particularly in Dwarzark and Moyiba. Households with income from fishing, informal salaried work and bike riding showed higher HU both within and outside settlements, especially in Dwarzark and Moyiba.ConclusionsWe identified strong settlement-specific patterns of household-level factors that influence HU both within and outside Freetown’s informal settlements. These findings provide a foundation for developing targeted policies such as strengthening local services, addressing affordability and accessibility barriers and supporting vulnerable occupation groups.

Introduction Residents of informal settlements face significant intersectional inequalities, due to the overlapping and compounding effects of multiple social factors. This study aims to explore how these intersecting social factors, identified by community members, combine to shape household-level inequalities healthcare utilisation (HU) among residents of informal settlements in Freetown, Sierra Leone. Methods This study employed participatory action research to collaboratively identify key social determinants affecting healthcare utilisation in Freetown’s informal settlements. A cross-sectional health and wellbeing survey was implemented in April-May 2023 and collected data from 4,871 households in Cockle Bay, Dwazark, and Moyiba informal settlements. The survey questions were codesigned by researchers and community fieldworkers, informed by prior qualitative research. Two outcomes were analysed: HU within the settlement ( n  = 4,821), and outside the settlement ( n  = 4,616). A multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) was conducted, nesting households within 122 intersectional strata. These strata were defined by six social factors: head of household gender, marital composition, engagement in income-generating activity, food security, disability and the household’s settlement. Intersectional measures included variance partition coefficient (VPC), the proportional change in variance (PCV), and residual intersectional effects. Results VPCs of 0.9% (PCV, of 92.8%) for HU within the settlements and of 3.9% (PCV, 81.7%) for HU outside the informal settlements suggest moderate but meaningful intersectional effects in shaping HU inequalities. The lowest levels of HU within informal settlements were observed among single, male, disabled individuals in Moyiba who lacked income-generating activities and experienced food insecurity. For HU outside the settlement, the lowest levels were found among female-headed households in Moyiba who were married, cohabiting, or engaged with a disabled household member, experienced food insecurity, and were engaged in income-generating activities. Conclusion This study identifies and quantifies inequalities in HU at the household level across three informal settlements in Freetown, driven by intersecting social factors. Addressing these inequalities requires policies that are universally accessible but implemented with an intensity proportionate to the level of vulnerability, ensuring that support is targeted to those most in need. Highlights The findings identify and quantify intersectional inequalities in healthcare utilisation (HU), particularly among the most vulnerable groups. Single women without income and single men with disabilities and no income in Moyiba were less likely to utilise healthcare. Households with protective factors against illness showed higher HU than those exposed to illness-enabling conditions. Stakeholders are encouraged to address HU inequalities through social security and health insurance, proportionately targeted by level of need.

Equitable health research requires actively engaging communities in producing new knowledge to advocate for their health needs. Community-based participatory research (CBPR) relies on the coproduction of contextual and grounded knowledge between researchers, programme implementers and community partners with the aim of catalysing action for change. Improving coproduction competencies can support research quality and validity. Yet, frameworks and guidance highlighting the ideal competencies and conditions needed for all research partners to contribute meaningfully and equitably are lacking. This paper aims to advance CBPR by laying out seven core competencies and conditions that can promote power sharing in knowledge production, application and dissemination at the individual, community, organisational and systems levels.Competencies were developed through an iterative process, that synthesised pre-existing literature and frameworks with a wide range of tacit knowledge from researchers, activists, implementation partners and community researchers from Bangladesh, India, Kenya, Sierra Leone and the UK.The seven core competencies and conditions are: (1) capacity to interpret and respond to individual and relational identity, connection, uniqueness and inequities; (2) ability of communities and partners to work in the most suitable, inclusive and synergistic way; (3) aptitude for generating safe and inclusive spaces for multidirectional knowledge and skills exchange that goes beyond the research focus; (4) expertise in democratic leadership and/or facilitation to balance competing priorities and ensure shared decision-making; (5) capacity to analyse readiness for action, successes and areas for improvements throughout the research process; (6) ability to instigate sustainable change processes within the political dimensions of systems, policies and practices using advocacy, lobbying or activism approaches and (7) skills to interpret and disseminate findings and outputs that are understandable, respectful and promote community ownership. We present core competency and condition areas, individual and collective expertise associated with competencies, likely outcomes, examples of activities and sources of evidence.

IntroductionSeveral studies have shown that residents of urban informal settlements/slums are usually excluded and marginalised from formal social systems and structures of power leading to disproportionally worse health outcomes compared to other urban dwellers. To promote health equity for slum dwellers, requires an understanding of how their lived realities shape inequities especially for young children 0–4 years old (ie, under-fives) who tend to have a higher mortality compared with non-slum children. In these proposed studies, we aim to examine how key Social Determinants of Health (SDoH) factors at child and household levels combine to affect under-five health conditions, who live in slums in Bangladesh and Kenya through an intersectionality lens.Methods and analysisThe protocol describes how we will analyse data from the Nairobi Cross-sectional Slum Survey (NCSS 2012) for Kenya and the Urban Health Survey (UHS 2013) for Bangladesh to explore how SDoH influence under-five health outcomes in slums within an intersectionality framework. The NCSS 2012 and UHS 2013 samples will consist of 2199 and 3173 under-fives, respectively. We will apply Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy approach. Some of SDoH characteristics to be considered will include those of children, head of household, mothers and social structure characteristics of household. The primary outcomes will be whether a child had diarrhoea, cough, fever and acute respiratory infection (ARI) 2 weeks preceding surveys.Ethics and disseminationThe results will be disseminated in international peer-reviewed journals and presented in events organised by the Accountability and Responsiveness in Informal Settlements for Equity consortium and international conferences. Ethical approval was not required for these studies. Access to the NCSS 2012 has been given by Africa Population and Health Center and UHS 2013 is freely available.

The fragile health system in Sierra Leone undermines healthcare, leading to substantial patient costs. We aimed to estimate the economic burden and inequalities in healthcare in urban informal settlements in Freetown, Sierra Leone. A cross-sectional survey was conducted in three informal settlements in Freetown in April and May 2023 to collect data on healthcare usage within and outside the boundaries of the informal settlements. Catastrophic expenditures were estimated using the payer's household budget. Logistic regression explored socioeconomic characteristics associated with catastrophic expenditures. Inequalities in healthcare expenditures were assessed through concentration curves and indices. A total of 2575 participants reported healthcare utilization. Dwarzark (US$6.9) and Moyiba (US$7.1) had higher costs than Cockle Bay (US$5.5) when utilizing healthcare within the communities. Households incurred higher costs when seeking healthcare outside their informal settlements than within (US$14 vs US$ 7). Over half of the households across the settlements incurred catastrophic expenditures when seeking care outside the communities (57%), with the poorest wealth quintile (poorest, 89%; wealthier, 12%) incurring in higher incidence. Attending informal healthcare had a protective effect against catastrophic expenditure for healthcare within the communities. Age + 35, residence in Dwarzark and Moyiba, and length of residence + 4 years were associated with catastrophic expenditures. Healthcare expenditure was progressive in Dwarzark and equally distributed across wealth quintiles in the other communities. Our findings indicate the need to provide accessible, affordable, and good-quality healthcare within communities to alleviate the catastrophic costs of healthcare utilization. The regulation of informal health providers and their integration into the formal health system should be considered.

The fragile health system in Sierra Leone undermines healthcare, leading to substantial patient costs. We aimed to estimate the economic burden and inequalities in healthcare in urban informal settlements in Freetown, Sierra Leone. A cross-sectional survey was conducted in three informal settlements in Freetown in April and May 2023 to collect data on healthcare usage within and outside the boundaries of the informal settlements. Catastrophic expenditures were estimated using the payer’s household budget. Logistic regression explored socioeconomic characteristics associated with catastrophic expenditures. Inequalities in healthcare expenditures were assessed through concentration curves and indices. A total of 2575 participants reported healthcare utilization. Dwarzark (US$6.9) and Moyiba (US$7.1) had higher costs than Cockle Bay (US$5.5) when utilizing healthcare within the communities. Households incurred higher costs when seeking healthcare outside their informal settlements than within (US$14 vs US$ 7). Over half of the households across the settlements incurred catastrophic expenditures when seeking care outside the communities (57%), with the poorest wealth quintile (poorest, 89%; wealthier, 12%) incurring in higher incidence. Attending informal healthcare had a protective effect against catastrophic expenditure for healthcare within the communities. Age + 35, residence in Dwarzark and Moyiba, and length of residence + 4 years were associated with catastrophic expenditures. Healthcare expenditure was progressive in Dwarzark and equally distributed across wealth quintiles in the other communities. Our findings indicate the need to provide accessible, affordable, and good-quality healthcare within communities to alleviate the catastrophic costs of healthcare utilization. The regulation of informal health providers and their integration into the formal health system should be considered.

Background Cholera, a diarrheal disease caused by the bacterium Vibrio cholerae , transmitted through fecal contamination of water or food remains an ever-present risk in many countries, especially where water supply, sanitation, food safety, and hygiene are inadequate. A cholera outbreak was reported in Bauchi State, North-eastern Nigeria. We investigated the outbreak to determine the extent and assess risk factors associated with the outbreak. Methods We conducted a descriptive analysis of suspected cholera cases to determine the fatality rate (CFR), attack rate (AR), and trends/patterns of the outbreak. We also conducted a 1:2 unmatched case–control study to assess risk factors amongst 110 confirmed cases and 220 uninfected individuals (controls). We defined a suspected case as any person > 5 years with acute watery diarrhea with/without vomiting; a confirmed case as any suspected case in which there was laboratory isolation of Vibrio cholerae O1 or O139 from the stool while control was any uninfected individual with close contact (same household) with a confirmed case. Children under 5 were not included in the case definition however, samples from this age group were collected where such symptoms had occurred and line-listed separately. Data were collected with an interviewer-administered questionnaire and analyzed using Epi-info and Microsoft excel for frequencies, proportions, bivariate and multivariate analysis at a 95% confidence interval. Results A total of 9725 cases were line-listed with a CFR of 0.3% in the state. Dass LGA had the highest CFR (14.3%) while Bauchi LGA recorded the highest AR of 1,830 cases per 100,000 persons. Factors significantly associated with cholera infection were attending social gatherings (aOR = 2.04, 95% CI = 1.16–3.59) and drinking unsafe water (aOR = 1.74, 95% CI = 1.07–2.83). Conclusion Attending social gatherings and drinking unsafe water were risk factors for cholera infection. Public health actions included chlorination of wells and distribution of water guard (1% chlorine solution) bottles to households and public education on cholera prevention. We recommend the provision of safe drinking water by the government as well as improved sanitary and hygienic conditions for citizens of the state.

Neuroinflammation, an inflammatory response within the nervous system, has been shown to be implicated in the progression of various neurodegenerative diseases. Recent in vivo studies showed that lipopolysaccharide (LPS) preconditioning provides neuroprotection by activating Toll-like receptor 4 (TLR4), one of the members for pattern recognition receptor (PRR) family that play critical role in host response to tissue injury, infection, and inflammation. Pre-exposure to low dose of LPS could confer a protective state against cellular apoptosis following subsequent stimulation with LPS at higher concentration, suggesting a role for TLR4 pre-activation in the signaling pathway of LPS-induced neuroprotection. However, the precise molecular mechanism associated with this protective effect is not well understood. In this article, we provide an overall review of the current state of our knowledge about LPS preconditioning in attenuating apoptosis mechanism and conferring neuroprotection via TLR4 signaling pathway.

Lipopolysacharide (LPS) pre-conditioning (PC), has been shown to exert protective effects against cytotoxic effects. Therefore, we hypothesized, the tolerance produced by LPS PC will be resulted by the alterations and modifications in gene and protein expression. With reference to the results of MTT assays, AO/PI staining, and Annexin V-FITC analyses of LPS concentration (0.7815–50 μg/mL) and time-dependent (12–72 h) experiments, the pre-exposure to 3 μg/mL LPS for 12 h protected the differentiated PC12 cells against 0.75 mg/mL LPS apoptotic concentration. LPS-treated cells secreted more inflammatory cytokines like IL-1α, IL-1β, IL-2, IL-3, IL-4, IL-6, IL-17, IFN-γ, and TNF-α than LPS-PC cells. The production of inflammatory mediators ROS and NO was also higher in the LPS-induced cells compared to LPS-PC cells. Conversely, anti-inflammatory cytokines (like IL-10, IL-13, CNTF, and IL-1Ra) were upregulated in the LPS-PC cells but not in the LPS-induced cells. Meanwhile, the LPS initiated caspase-8 which in turn activates effector caspase 3/7. When the activities of caspases in the LPS-induced cells were inhibited using z-VADfmk and z-DEVDfmk, the expressions of c-MYC and Hsp70 were increased, but p53 was reduced. The potential molecules associated with protective and destructive effect was measured by RT 2 Profiler PCR array to elucidate the signaling pathways and suggested inhibition NF-κB/caspase-3 signaling pathway regulates the cytoprotective genes and proto-oncogenes. In conclusion, this study provides a basis for future research to better understand the molecular mechanism underlying LPS pre-conditioning /TLR4 pre-activation and its functional role in offering cytoprotective response in neuronal environment.