Causal and associational language in observational health research: A systematic evaluation.

This is the final version. Available from Oxford University Press via the DOI in this record. Data, data analysis code, and materials are available on the Open Science Framework project https://osf.io/jtdaz/.We estimated the degree to which language used in the high profile medical/public health/epidemiology literature implied causality using language linking exposures to outcomes and action recommendations; examined disconnects between language and recommendations; identified the most common linking phrases; and estimated how strongly linking phrases imply causality. We searched and screened for 1,170 articles from 18 high-profile journals (65 per journal) published from 2010-2019. Based on written framing and systematic guidance, three reviewers rated the degree of causality implied in abstracts and full text for exposure/outcome linking language and action recommendations. Reviewers rated the causal implication of exposure/outcome linking language as None (no causal implication) in 13.8%, Weak 34.2%, Moderate 33.2%, and Strong 18.7% of abstracts. The implied causality of action recommendations was higher than the implied causality of linking sentences for 44.5% or commensurate for 40.3% of articles. The most common linking word in abstracts was "associate" (45.7%). Reviewers' ratings of linking word roots were highly heterogeneous; over half of reviewers rated "association" as having at least some causal implication. This research undercuts the assumption that avoiding "causal" words leads to clarity of interpretation in medical research.Marie Skłodowska-Curie grantAustralian Research CouncilNational Institute of Mental HealthNational Institute of Mental HealthNational Institute of Biomedical Imaging and BioengineeringNational Center for Advancing Translational Sciences UCLA Clinical Translational Science InstituteBloomberg American Health InitiativeKaren Toffler Charity Trus

Visualizing community networks to recruit South Asian participants for interviews about bowel cancer screening

Background: South Asians make up the largest ethnic minority group in England and Wales. Yet this group is underrepresented in some programmes to promote health, such as cancer screening. A challenge to addressing such health disparities is the difficulty of recruiting South Asian communities to health research. Effective recruitment requires the development of participants’ knowledge about research and their trust. Researchers also need to increase their cultural understanding and to think about how they will communicate information despite language barriers. This article describes the use of an organogram, informed by social network analysis, to identify the community contacts likely to encourage participation of South Asian adults (aged 50 to 75 years) in interviews to identify the facilitators of home bowel cancer screening. Methods: We developed an organogram which represented the directional relationships between organizations and key informants against the level of recruitment success to visualize where networking engaged participants. Primary data were recruitment records (February 2019-March 2020). Results: The majority of participants were recruited from faith centres. The topic of bowel cancer was a barrier for some, but recruitment was more successful with the advocacy of leaders within the South Asian communities. Visualizing community networks helped the research team to understand where to concentrate time and resources for recruitment. Conclusions: The organizational chart was easy to maintain and demonstrated useful patterns in recruitment successes. Policy summary: An organogram can provide a practical tool to identify the best strategies and community contacts to engage South Asian participants in studies to inform policy on health promotion activities such as cancer screening