Fundamental Fairness in Sexual Misconduct Adjudications: Evaluating Private Universities for Due Process Rights in their Policies and Procedures

There is a national debate on how universities should respond to sexual assault, specifically the advantages and shortcomings of the campus adjudication Process. One major critique of university adjudication is that it does not provide the necessary due process rights to the accused and is therefore not fundamentally fair. This study seeks to assess this validity of this critique by seeing if sexual misconduct policies lack due process and if so, to what extent. This investigation is a comparative case study of 14 private higher education institutions, belonging to the Ivy Plus Society, analyzing their policy and procedure documents for indicators of due process. Findings show that schools are complying between 45% and 85% of due process indicators with an average of 65%. Colleges do lack due process rights and need to revise their policies and procedures to clearly present these rights. Key recommendations include guaranteeing a hearing procedure with impartial decision-makers and the opportunity to submit evidence and witnesses.

Host gene expression classifiers diagnose acute respiratory illness etiology.

Acute respiratory infections caused by bacterial or viral pathogens are among the most common reasons for seeking medical care. Despite improvements in pathogen-based diagnostics, most patients receive inappropriate antibiotics. Host response biomarkers offer an alternative diagnostic approach to direct antimicrobial use. This observational cohort study determined whether host gene expression patterns discriminate noninfectious from infectious illness and bacterial from viral causes of acute respiratory infection in the acute care setting. Peripheral whole blood gene expression from 273 subjects with community-onset acute respiratory infection (ARI) or noninfectious illness, as well as 44 healthy controls, was measured using microarrays. Sparse logistic regression was used to develop classifiers for bacterial ARI (71 probes), viral ARI (33 probes), or a noninfectious cause of illness (26 probes). Overall accuracy was 87% (238 of 273 concordant with clinical adjudication), which was more accurate than procalcitonin (78%, P < 0.03) and three published classifiers of bacterial versus viral infection (78 to 83%). The classifiers developed here externally validated in five publicly available data sets (AUC, 0.90 to 0.99). A sixth publicly available data set included 25 patients with co-identification of bacterial and viral pathogens. Applying the ARI classifiers defined four distinct groups: a host response to bacterial ARI, viral ARI, coinfection, and neither a bacterial nor a viral response. These findings create an opportunity to develop and use host gene expression classifiers as diagnostic platforms to combat inappropriate antibiotic use and emerging antibiotic resistance.