BackgroundThe Framework Method is becoming an increasingly popular approach to the management and analysis of qualitative data in health research. However, there is confusion about its potential application and limitations.DiscussionThe article discusses when it is appropriate to adopt the Framework Method and explains the procedure for using it in multi-disciplinary health research teams, or those that involve clinicians, patients and lay people. The stages of the method are illustrated using examples from a published study.SummaryUsed effectively, with the leadership of an experienced qualitative researcher, the Framework Method is a systematic and flexible approach to analysing qualitative data and is appropriate for use in research teams even where not all members have previous experience of conducting qualitative research.

The informal settlements of the Global South are the least prepared for the pandemic of COVID-19 since basic needs such as water, toilets, sewers, drainage, waste collection, and secure and adequate housing are already in short supply or non-existent. Further, space constraints, violence, and overcrowding in slums make physical distancing and self-quarantine impractical, and the rapid spread of an infection highly likely. J Urban Health international aid, NGOs, and community groups to innovate beyond disaster response and move toward longterm plans.

This paper highlights the major challenges and considerations for addressing COVID-19 in informal settlements. It discusses what is known about vulnerabilities and how to support local protective action. There is heightened concern about informal urban settlements because of the combination of population density and inadequate access to water and sanitation, which makes standard advice about social distancing and washing hands implausible. There are further challenges to do with the lack of reliable data and the social, political and economic contexts in each setting that will influence vulnerability and possibilities for action. The potential health impacts of COVID-19 are immense in informal settlements, but if control measures are poorly executed these could also have severe negative impacts. Public health interventions must be balanced with social and economic interventions, especially in relation to the informal economy upon which many poor urban residents depend. Local residents, leaders and community-based groups must be engaged and resourced to develop locally appropriate control strategies, in partnership with local governments and authorities. Historically, informal settlements and their residents have been stigmatized, blamed, and subjected to rules and regulations that are unaffordable or unfeasible to adhere to. Responses to COVID-19 should not repeat these mistakes. Priorities for enabling effective control measures include: collaborating with local residents who have unsurpassed knowledge of relevant spatial and social infrastructures, strengthening coordination with local governments, and investing in improved data for monitoring the response in informal settlements.

Background The recent publication of the WHO guideline on support to optimise community health worker (CHW) programmes illustrates the renewed attention for the need to strengthen the performance of CHWs. Performance partly depends on motivation, which in turn is influenced by incentives. This paper aims to critically analyse the use of incentives and their link with improving CHW motivation. Methods We undertook a comparative analysis on the linkages between incentives and motivation based on existing datasets of qualitative studies in six countries. These studies had used a conceptual framework on factors influencing CHW performance, where motivational factors were defined as financial, material, non-material and intrinsic and had undertaken semi-structured interviews and focus group discussions with CHWs, supervisors, health managers and selected community members. Results We found that (a mix of) incentives influence motivation in a similar and sometimes different way across contexts. The mode of CHW engagement (employed vs. volunteering) influenced how various forms of incentives affect each other as well as motivation. Motivation was negatively influenced by incentive-related “expectation gaps”, including lower than expected financial incentives, later than expected payments, fewer than expected material incentives and job enablers, and unequally distributed incentives across groups of CHWs. Furthermore, we found that incentives could cause friction for the interface role of CHWs between communities and the health sector. Conclusions Whether CHWs are employed or engaged as volunteers has implications for the way incentives influence motivation. Intrinsic motivational factors are important to and experienced by both types of CHWs, yet for many salaried CHWs, they do not compensate for the demotivation derived from the perceived low level of financial reward. Overall, introducing and/or sustaining a form of financial incentive seems key towards strengthening CHW motivation. Adequate expectation management regarding financial and material incentives is essential to prevent frustration about expectation gaps or “broken promises”, which negatively affect motivation. Consistently receiving the type and amount of incentives promised appears as important to sustain motivation as raising the absolute level of incentives.

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