Brandy Jackson, Undergraduate Program Director/Assistant Educator – Ascension Via Christi – Wichita State University School of Nursing, published “Disability and Accommodation Use in US Bachelor of Science in Nursing Programs” in JAMA Network Open Feb. 20.
Abstract: Introduction: Medical associations’ commitment to advancing disability-inclusive practices has led to data collection on, and a significant increase in representation of, medical students with disabilities.1,2 However, information on disability representation and accommodation use in US nursing programs remains scarce. The lack of data collection on this population impedes the ability to identify barriers, benchmark, and measure progress. To address this gap, we quantified disabilities and types of accommodations used among traditional prelicensure nursing students in US Bachelor of Science in Nursing (BSN) degree programs. Methods: This exploratory cross-sectional study, conducted from April 1 through July 30, 2024, used national data from nursing schools to examine disability and accommodation use in traditional prelicensure BSN programs. Participants were recruited through convenience and snowball sampling from social media, American Association of Colleges of Nursing (AACN) listservs, and the AACN newsletter. US traditional prelicensure BSN programs accredited by the Commission on Collegiate Nursing Education were eligible. Postlicensure and accelerated BSN programs were ineligible. The study was exempted and no consent was required by the University of Michigan institutional review board because we collected aggregate data that belong to the institution. We followed the STROBE reporting guideline. Questionnaires from previous works of the senior author (L.M.M.)1 -3 were adapted from medical to nursing education (eMethods in Supplement 1). The nursing questionnaire collected data on the number of students with disabilities registered with their school’s disability services office by disability category and approved accommodations. Program characteristics, including size, geographic location, private or public designation, and structure of the disability office, were also collected. Schools’ disability resource professionals completed the questionnaire. Descriptive statistics were used to summarize survey results. To account for heterogeneity between schools, random-effects logistic regression models were used to calculate pooled estimates (weighted by sample size) of disability proportions along with 2-sided 95% CIs. Analyses were conducted using R statistical software, version 4.4.1 (R Project for Statistical Computing).
