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Intersectionality is a widely adopted theoretical orientation in the field of women and gender studies. Intersectionality comes from the work of black feminist scholars and activists. Intersectionality argues identities such as gender, race, sexuality, and other markers of difference intersect and reflect large social structures of oppression and privilege, such as sexism, racism, and heteronormativity. The reach of intersectionality now extends to the fields of public health and knowledge translation. Knowledge translation (KT) is a field of study and practice that aims to synthesize and evaluate research into an evidence base and move that evidence into health care practice. There have been increasing calls to bring gender and other social issues into the field of KT. Yet, as scholars outline, there are few guidelines for incorporating the principles of intersectionality into empirical research. An interdisciplinary, team-based, national health research project in Canada aimed to bring an intersectional lens to the field of knowledge translation. This paper reports on key moments and resulting tensions we experienced through the project, which reflect debates in intersectionality: discomfort with social justice, disciplinary divides, and tokenism. We consider how our project advances intersectionality practice and suggests recommendations for using intersectionality in health research contexts. We argue that while we encountered many challenges, our process and the resulting co-created tools can serve as a valuable starting point and example of how intersectionality can transform fields and practices.

Background A key component of the implementation process is identifying potential barriers and facilitators that need to be addressed. The Theoretical Domains Framework (TDF) is one of the most commonly used frameworks for this purpose. When applying the TDF, it is critical to understand the context in which behaviours occur. Intersectionality, which accounts for the interface between social identity factors (e.g. age, gender) and structures of power (e.g. ageism, sexism), offers a novel approach to understanding how context shapes individual decision-making and behaviour. We aimed to develop a tool to be used alongside applications of the TDF to incorporate an intersectionality lens when identifying implementation barriers and enablers. Methods An interdisciplinary Framework Committee ( n  = 17) prioritized the TDF as one of three models, theories, and frameworks (MTFs) to enhance with an intersectional lens through a modified Delphi approach. In collaboration with the wider Framework Committee, a subgroup considered all 14 TDF domains and iteratively developed recommendations for incorporating intersectionality considerations within the TDF and its domains. An iterative approach aimed at building consensus was used to finalize recommendations. Results Consensus on how to apply an intersectionality lens to the TDF was achieved after 12 rounds of revision. Two overarching considerations for using the intersectionality alongside the TDF were developed by the group as well as two to four prompts for each TDF domain to guide interview topic guides. Considerations and prompts were designed to assist users to reflect on how individual identities and structures of power may play a role in barriers and facilitators to behaviour change and subsequent intervention implementation. Conclusions Through an expert-consensus approach, we developed a tool for applying an intersectionality lens alongside the TDF. Considering the role of intersecting social factors when identifying barriers and facilitators to implementing research evidence may result in more targeted and effective interventions that better reflect the realities of those involved.

Background Access to patient sociodemographic information is a critical factor to understanding, at a systems-level, where health inequities exist so they can be addressed. Patient concerns around disclosing personal information remain a barrier to sociodemographic data collection. Our objective was to assess patient perceptions regarding the routine collection of sociodemographic information in an acute care hospital setting. Methods We conducted a qualitative study using the Framework Method to understand patient perceptions regarding sociodemographic data collection. We administered semi-structured interviews with patients admitted to the General Internal Medicine and Geriatric Medicine units at a university-affiliated hospital in Toronto, Canada. Two reviewers independently coded 10% of interview transcripts until a kappa ≥ 0.7 was achieved. The remaining interviews were single-coded. Data were analyzed using thematic analysis. Results A total of 52 qualitative interviews were conducted between December 2021 and September 2023. Of the 52 individuals interviewed, 21 also agreed to complete a sociodemographic survey (40%). Among these participants, 57% ( n  = 12) were women and 62% ( n  = 13) were White. Patients felt more comfortable disclosing sociodemographic data if they believed it would lead to better or more equitable care; data were collected after they were admitted to hospital; data were collected verbally; and concerns about data privacy, anonymization, use, and secure storage were addressed. Some patients expressed discomfort being asked questions about income or race. Most patients had no preference regarding who from the healthcare team collected the sociodemographic data. Participants reported the importance of a friendly and respectful approach of the person collecting the data. Conclusions Participants reported feeling comfortable disclosing their sociodemographic information in hospital; however, only 40% were willing to complete a demographic questionnaire. Participants’ comfort levels were impacted by the approach of the individual asking the questions, the types of questions asked, when the data were collected, and whether assurances around privacy and transparency regarding the use of data were provided. The results of this study should be used to develop strategies to support the implementation of routine sociodemographic data collection in acute care settings.

Background Models, theories, and frameworks (MTFs) provide the foundation for a cumulative science of implementation, reflecting a shared, evolving understanding of various facets of implementation. One under-represented aspect in implementation MTFs is how intersecting social factors and systems of power and oppression can shape implementation. There is value in enhancing how MTFs in implementation research and practice account for these intersecting factors. Given the large number of MTFs, we sought to identify exemplar MTFs that represent key implementation phases within which to embed an intersectional perspective. Methods We used a five-step process to prioritize MTFs for enhancement with an intersectional lens. We mapped 160 MTFs to three previously prioritized phases of the Knowledge-to-Action (KTA) framework. Next, 17 implementation researchers/practitioners, MTF experts, and intersectionality experts agreed on criteria for prioritizing MTFs within each KTA phase. The experts used a modified Delphi process to agree on an exemplar MTF for each of the three prioritized KTA framework phases. Finally, we reached consensus on the final MTFs and contacted the original MTF developers to confirm MTF versions and explore additional insights. Results We agreed on three criteria when prioritizing MTFs: acceptability (mean = 3.20, SD = 0.75), applicability (mean = 3.82, SD = 0.72), and usability (median = 4.00, mean = 3.89, SD = 0.31) of the MTF. The top-rated MTFs were the Iowa Model of Evidence-Based Practice to Promote Quality Care for the ‘Identify the problem’ phase (mean = 4.57, SD = 2.31), the Consolidated Framework for Implementation Research for the ‘Assess barriers/facilitators to knowledge use’ phase (mean = 5.79, SD = 1.12), and the Behaviour Change Wheel for the ‘Select, tailor, implement interventions’ phase (mean = 6.36, SD = 1.08). Conclusions Our interdisciplinary team engaged in a rigorous process to reach consensus on MTFs reflecting specific phases of the implementation process and prioritized each to serve as an exemplar in which to embed intersectional approaches. The resulting MTFs correspond with specific phases of the KTA framework, which itself may be useful for those seeking particular MTFs for particular KTA phases. This approach also provides a template for how other implementation MTFs could be similarly considered in the future. Trial registration Open Science Framework Registration: osf.io/qgh64.

Background The field of knowledge translation (KT) has been criticized for neglecting contextual and social considerations that influence health equity. Intersectionality, a concept introduced by Black feminist scholars, emphasizes how human experience is shaped by combinations of social factors (e.g., ethnicity, gender) embedded in systemic power structures. Its use has the potential to advance equity considerations in KT. Our objective was to develop and conduct usability testing of tools to support integrating intersectionality in KT through three key phases of KT: identifying the gap; assessing barriers to knowledge use; and selecting, tailoring, and implementing interventions. Methods We used an integrated KT approach and assembled an interdisciplinary development committee who drafted tools. We used a mixed methods approach for usability testing with KT intervention developers that included semi-structured interviews and the System Usability Scale (SUS). We calculated an average SUS score for each tool. We coded interview data using the framework method focusing on actionable feedback. The development committee used the feedback to revise tools, which were formatted by a graphic designer. Results Nine people working in Canada joined the development committee. They drafted an intersectionality primer and one tool that included recommendations, activities, reflection prompts, and resources for each of the three implementation phases. Thirty-one KT intervention developers from three countries participated in usability testing. They suggested the tools to be shorter, contain more visualizations, and use less jargon. Average SUS scores of the draft tools ranged between 60 and 78/100. The development committee revised and shortened all tools, and added two, one-page summary documents. The final toolkit included six documents. Conclusions We developed and evaluated tools to help embed intersectionality considerations in KT. These tools go beyond recommending the use of intersectionality to providing practical guidance on how to do this. Future work should develop guidance for enhancing social justice in intersectionality-enhanced KT.

Social media platforms, such as Instagram, are increasingly used as a source of health information; however, it is unclear how to effectively leverage these platforms during public health emergencies. @PandemicPregnancyGuide (PPG) was an Instagram account created by Canadian physicians to provide perinatal health information during the COVID-19 pandemic. We conducted a cross-sectional survey, and assessed Instagram analytics, to determine how and why users followed PPG and its impact on health decision-making. Respondents most valued posts explaining scientific articles in lay language and the delivery of content by medical experts. Topics of greatest interest were COVID-19 vaccination while pregnant (76%), COVID-19 infection during pregnancy (71%), and labour and delivery during the pandemic (69%). Respondents self-reported being more likely to use COVID-19 protective measures while pregnant (80%), receive COVID-19 vaccines in pregnancy (87%), and vaccinate their children against COVID-19 (58%) due to the information shared by PPG. Taken together, we demonstrate how healthcare professionals can effectively leverage social media to disseminate health information and improve uptake of public health recommendations. We recommend consideration of our findings in the development of future health-based social media platforms, particularly during public health emergencies or campaigns.

Background: A key component of the implementation process is identifying potential barriers and facilitators that need to be addressed. The Theoretical Domains Framework (TDF) is one of the most commonly used frameworks for this purpose. When applying the TDF, it is critical to understand the context in which behaviours occur. Intersectionality, which accounts for the interface between social identity factors (e.g. age, gender) and structures of power (e.g. ageism, sexism), offers a novel approach to understanding how context shapes individual decision-making and behaviour. We aimed to develop a tool to be used alongside applications of the TDF to incorporate an intersectionality lens when identifying implementation barriers and enablers. Methods: An interdisciplinary Framework Committee (n=17) prioritized the TDF as one of three models, theories, and frameworks (MTFs) to enhance with an intersectional lens through a modified Delphi approach. In collaboration with the wider Framework Committee, a subgroup considered all 14 TDF domains and iteratively developed recommendations for incorporating intersectionality considerations within the TDF and its domains. An iterative approach aimed at building consensus was used to finalize recommendations. Results: Consensus on how to apply an intersectionality lens to the TDF was achieved after 12 rounds of revision. Two overarching considerations for using the intersectionality alongside the TDF were developed by the group as well as two to four prompts for each TDF domain to guide interview topic guides. Considerations and prompts were designed to assist users to reflect on how individual identities and structures of power may play a role in barriers and facilitators to behaviour change and subsequent intervention implementation. Conclusions: Through an expert-consensus approach, we developed a tool for applying an intersectionality lens alongside the TDF. Considering the role of intersecting social factors when identifying barriers and facilitators to implementing research evidence may result in more targeted and effective interventions that better reflect the realities of those involved.