This study will measure the effects of a brief one-time eLearning intervention on researcher Knowledge, Attitudes, and Perceptions (KAP) of including people with disabilities (PWDs) in biomedical & behavioral research. Researchers will be recruited from across the Einstein/Montefiore network, and other medical centers with a focus on CTSAs.

According to the Centers for Disease Control and Prevention (CDC), 1 in 4 adults in the U.S. has a disability, approximately 29% of the overall population. Adults with (vs. without) disabilities have higher rates of obesity (41.6% v. 29.6%), smoking (21.9% v. 10.9%), heart disease (9.6% v. 3.4%), and diabetes (15.9% v. 7.6%), and lower rates of preventive care (e.g., mammograms, cervical cancer screening).

Disability may present as salient to others or be non-visible (e.g., autism, Long COVID). Non-visible disabilities comprise 70-80% of all disabilities; robust data finds stronger negative attitudes towards non-visible (vs. visible) disabilities.

People with Disabilities (PWDs) are under-represented in health research. Reasons include: a) structural elements of research: poorly justified exclusion criteria, PWDs not designated as a vulnerable group, b) access barriers: physical, sensory, literacy; and c) PWDs skepticism due to researcher bias, lack of perceived benefit, focus on cure vs. quality of life. Data on provider attitudes towards people with disabilities (PWDs) is scant.

KAP of barriers and benefits are modifiable roadblocks to including PWDs in research. The research team will develop and test tools to increase researcher motivation and capacity to mitigate perceived barriers. For Aims 1 and 2 of D2/R3, the research team engaged the 10 US sites (Einstein is one) that are Clinical and Translational Science Awards (CTSAs) and Intellectual and Developmental Disabilities Research Centers (IDDRCs) for basic/clinical research and University Centers of Excellence in Developmental Disabilities (UCEDDs).

Timeliness - This study is timely and novel as the perception of disability in research settings has shifted in recent years. Made apparent by the NIHs designation of PWDs as a health disparities population and changes to the Research, Condition, and Disease Categories (RCDCs) (i.e., disability research is now included on the list).

This registration is exclusive to Aim 3 of the D2/R3 study.

Inclusion Criteria:

• Aged >=18
• Conducts non-disability focused research (in the past 3 years)
• Conducts (primarily) research with/on adults
• Affirms their understanding that eligibility and data must pass quality assurance checks before compensation is disbursed

Exclusion Criteria:

• Participant in Aim1/Aim2 of D2/R3 study
• Respondent fails to provide a valid US-based personal institutional email

After results are reported in a peer-reviewed manuscript on the trial outcomes all data (i.e. metadata, documentation, protocols, measures) will be shared and associated with the datasets.

De-identified survey data will be exported from Einstein-Montefiore's REDCap database into a common and open format (e.g., .CSV with variable labels). The survey will have previously been made publicly available in a peer review manuscript including information about our research process, details of the data analysis plan, protocols, etc.

All dataset(s) that can be shared will be deposited into the Harvard Dataverse Repository (HDR).

Prior to sharing we will remove all personal identifiers. Survey data will be made available in csv. and will not require specialized tools to gain access or be manipulated (i.e. no restrictions).

Resources (e.g. code) will be made publicly available through the HDR.