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This chapter draws on empirical data from women’s stories as we start on the ‘journey’ of experiences of sexual harassment. This chapter focusses on the ‘before’, as I present women’s accounts of everyday life moving around London and participating in the rhythmic ensemble of the city. It demonstrates how the city remains a gendered environment that induces both fear and freedom and contextualises the (physical and mental) landscape in which incidents of sexual harassment occur. I will draw on theoretical approaches relating to the emergence of urban modernity in order to contextualise how the social, spatial and temporal conditions in the historical metropolis led to the advent of new sociabilities and modes of being in public life that still influence interactions today. Acknowledging that this remains gendered, I call on the literary character of the flâneur to critically analyse women’s past and present mobilities in the city. I simultaneously incorporate Lefebvre’s concept of rhythm to illustrate how the anticipation and expectation of sexual harassment impact women’s mobilities so intimately that it constitutes their normative urban rhythms. By exploring women’s wider lives in the context of movement and mobilities in the city, this chapter demonstrates the gendered nature of everyday life in the urban environment, including how the anticipation and perceived risk of sexual harassment are experienced and negotiated as an omnipresent possibility.

In Kenya, gaps exist in health service provision to slum residents, especially service availability and access to quality care. There is also little information on the health status of people living in slums other than in Nairobi. The purpose of this paper is to generate evidence for use in designing interventions to improve health services in four mid-sized slums in Embu, Nyeri and Thika, Kenya.

A cross-sectional survey of clients receiving services in health facilities was conducted in the targeted slums. Data were collected through face-to-face interviews. Factor scores were generated using the Rasch model; simple and multivariate logistic regression analyses were done using the R statistical software.

Overall, 81 per cent of the 203 participants reported being satisfied with health services. Most clients (89 per cent) reported that health facility staff greeted them warmly; 82 per cent said their consultation was private. The facility type, waiting time and client experience with service providers determined their satisfaction (p < 0.05).

Healthcare managers can improve client satisfaction levels by understanding the client flow in their facilities and addressing causes of client dissatisfaction, such as long waiting times, while at the same time promoting facilitating factors.

The authors use latent variable modelling to compute client satisfaction scores, which were dichotomised into two categories and fitted into a logistic regression model to identify factors that influence client satisfaction. Health facility clients in the four slums are satisfied with services and have confidence the providers will serve them in a friendly and professional manner that promotes respect and quality care. The paper recommend healthcare managers in similar settings carry out client flow analysis and institute remedial measures to address long waiting times. Qualitative studies are recommended to determine the reasons behind the high satisfaction levels reported in this study.