Table 2: Key elements for incorporating an intersectional gender lens in the IR cycle. Adapted from (1,8,12 and 22).
IR process Issues for consideration
IR study inception
Setting up a multidisciplinary team

How will you ensure that there is adequate opportunity for participation of men, women and people with non-binary identities in the research team in order to form a diversified team?

How might your research teams’ personal values, experiences, interests, beliefs and political commitments play a role at each stage of the research process?

Problem identification

What are the perspectives of the target population/community of interest?

What social variables are relevant in the study context?

What inequities (between and within groups of people) exist in relation to the health issue/intervention to be researched?

Setting goals and objectives What are the living experiences of the study participants and how do their social variables intersect to influence these experiences at different levels of the health system?
Stakeholder consultation

How gender and other social variables impact on who wants to be involved; who is able to be involved; how those who are involved interact with each other, and how that affects their contributions (e.g. are power dynamics influencing who is able to speak up in your meetings). These factors can be subtle (e.g. men speaking more often and for longer; hierarchical position amongst men with juniors not speaking in the presence of seniors) or unsubtle (e.g. men speaking on behalf of or over women).

How will you identify and select stakeholders to include diverse representation of the community, especially considering that women or marginalized people may be selected as tokenistic representatives.

Proposal development
Study design

What methodology is appropriate for your study?

What data needs to be collected and disaggregated (e.g. age, gender identity, sex, social demographics of study participants) to enable an intersectional gender analysis?

Data collection

Who is involved in the data collection and how will data be collected?

How will interview questions be formulated to explore intersecting social variables, including how gender intersects with other axes of inequality (e.g. age and disability, among others)?

Data analysis

Plan data analysis keeping in mind that different groups of people may be affected variably by the same health condition or issue.

How can the findings be interpreted within the wider community context?

Are there any unexpected findings (e.g. social variables that only emerge as important during the data analysis?)

Communication of research findings

What do the findings mean for policy, practice and the community, especially in relation to addressing inequalities and vulnerabilities?

How to present findings that are sensitive, inclusive and unbiased? What gender-sensitive (responsive) communication products and derivatives will be developed?

How do you ensure research findings reach vulnerable and disadvantaged groups?

Project planning

What are the sociocultural and gender relation domains of the study context?

What are the sociocultural values and gender dimensions of the implementers?

What are the researcher biases and power dynamics within the team and the various project areas, and how can they be mitigated?

How do participants with the social identities under research want to be involved in the implementation of the IR project?

Ethical issues How to address issues of confidentiality and anonymity especially where a given social identity is not recognized by law?