Intro -- Acknowledgements -- Acronyms -- Definitions -- Introduction to the toolkit -- 1.1 What are the key concepts you need to know to use this toolkit? -- 1.2 Why is intersectional gender analysis important in research on infectious diseases of poverty? -- 1.3 Role and importance of gender and intersectionality in relation to infectious diseases of poverty -- 1.4 Intersecting positionalities and the inner circle -- 1.4.1 Influences on health-related decision-making -- 1.4.2 Social and environmental determinants shape infectious diseases of poverty -- 1.5 The outer circles: how culture and context shape experience of disease and health service delivery -- 1.5.1 Disease experience -- 1.5.2 Health service delivery -- 1.6 Taking an intersectional approach to gender analysis within the toolkit -- 1.7 Engaging stakeholders throughout the research process -- 2.1 Approaches to intersectional gender analysis within research on infectious diseases of poverty -- 2.1.1 Situating research along the gender assessment scale -- 2.1.2 Overview of intersectional gender analysis activities -- 3.1 Using gender frameworks as analytical guides -- 3.1.1 Gender frameworks for research on infectious diseases of poverty -- 3.2 Data disaggregation as an entry point for further understanding -- 3.3 Rationale for selection of social stratifiers for intersectional gender analysis -- 4.1 Intersectional gender analysis questions as entry points for further understanding -- 4.1.1 Developing gender analysis questions -- 4.1.2 Developing an intersectional gender analysis matrix -- 4.1.3 Intersectional gender analysis questions for research on infectious diseases of poverty -- 4.2 Developing gender-sensitive indicators -- 4.2.1 Incorporating intersectional gender analysis questions into data collection tools -- 5.1 Why transform inequitable gender norms through research?.

5.2 Why conventional research methods might not work -- 5.3 Participatory research methods to transform inequitable gender norms -- 5.3.1 Participatory action research as a catalyst for change -- 5.3.2 Participatory health research and the links to feminist principles -- 5.4 Indicators for transformative change -- 5.5 Alternative methods to measure change: Most Significant Change techniques -- 6.1 Including intersectional gender-sensitive questions within data collection tools -- 6.2 Understanding how the data collection process itself can be imbued with power relations and biases -- 6.2.1 Who participates as respondents? -- 6.2.2 When is data collected and from where? -- 6.2.3 Who is present during data collection? -- 6.2.4 Who is present during data collection? -- 6.3 Consider ways in which underlying gender power relations can be challenged and progressively changed during research process -- 7.1 Preparing research to analyse data through an intersectional gender lens -- 7.2 Gender analysis of secondary quantitative data -- 7.3 Analysing quantitative research data using an intersectional gender lens -- 7.3.1 Conducting intersectional sex-disaggregated and/or sex-specific analyses -- 7.3.2 Using gender variables to conduct an intersectional gender analysis -- 7.3.3 Classifying respondents to facilitate intersectional gender analysis -- 7.3.4 Analysing quantitative data through an intersectional gender lens -- 7.3.5 Interpreting quantitative data through an intersectional gender lens -- 7.4 Analysing qualitative research data using an intersectional gender lens -- 7.4.1 Designing the sample to facilitate intersectional gender analysis within qualitative research -- 7.4.2 Approaches to intersectional gender analysis within qualitative research -- 7.4.3 Going beneath the surface in qualitative analysis.

7.5 Conducting mixed methods intersectional gender analysis -- 8.1 The importance of intersectional gender analysis within implementation research on infectious diseases of poverty -- 8.2 Role and importance of community engagement within implementation research on infectious diseases of poverty -- 8.3 Incorporating a gender lens into implementation research on infectious diseases of poverty -- 8.3.1 Incorporating gender analysis questions into implementation research on infectious diseases of poverty -- 9.1 Thinking about gender and intersectionality after the research is completed -- 9.1.1 Avoiding common pitfalls when conducting gender analysis that may bias research results and reporting -- 9.2 Creating gender-sensitive reports -- 9.3 Ongoing dissemination, reporting and uptake of findings -- 9.4 Engaging stakeholders within the reporting and dissemination process -- 10 Final remarks -- 11 References.