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The Unlearning of School Attendance: Ideas for Change
(Frontiers Media, 2024) Gentle-Genitty, Carolyn; Ansari, Arya; Marshall, Ineke; Gottfried, Michael
This Research Topic on Unlearning Attendance champions a serious look at school attendance and absenteeism. It examines all forms of school attendance problems ranging from school refusal, truancy, school withdrawal, to school avoidance and its correlates of criminal, socio-emotional, developmental, psychological, academic, fiscal, technological, and societal impact. The issue gives a synopsis on the known problems and challenges but also those exacerbated by the pandemic and ideas for improvement. The issue takes a bold step to call out antiquated practices which have continued to fail students through teaching and learning, policy, laws and statutes, transportation, practice, program, funding, tracking, evaluation, and outcomes. Stop punishing our children for attending. Resilient students who overcome the odds to show up 170 days of the annual 180 required days are often marked truant. In some cases they are suspended, expelled, or reported by law to juvenile courts. Before COVID, and now more than ever, children's attendance and participation in education have been important. Yet since the establishment of required education, our laws, policies, school practices, data tracking, intervention response, and outcome measures have not been updated. These antiquated processes fail current students. Despite a focus on positive behavior interventions, tiered approaches, and socio-emotional learning in the last few decades we still only track absence and not presence. There is need for emerging and new ways of valuing participation in education from pre-school to high school. We must evaluate our governing policies of what constitutes presence (physical vs virtual). We must use more engagement versus discipline methods to foster success; update punitive laws requiring mandatory reporting to juvenile probation courts rather than development resources; change what we track, who we track, and how we report. We must unlearn the old way of attendance. Unlearning attendance speaks to the idea that policies, practices, and procedures in place for students in K-12 (primary) and high schools have consistently been punitive, ineffective in use of data, and non-progressive. As a result there is need for new research, new ways to evaluate, and emerging and best practice efforts to engage students. Unlearning Attendance: Ideas for Change is a call for action that features emerging practices from practitioners, educators, researchers, policy makers, and organizations from around the globe who have been toiling at solutions for problems faced everyday in and out of the classroom and with parents and partners to support student engagement in their education.
Clinical Pharmacogenetics From a Nursing Perspective: Personalizing Drug Therapy
(Sigma International Nursing Research Congress, 2019) Fulton, Cathy R.
Precision medicine is the approach to patient care that is focused on finding the most appropriate medication based on the interplay between genetic, environmental, and lifestyle factors to improve patient outcomes. With sufficient knowledge and experience, all nurses will become more confident in applying pharmacogenetic results within the clinical context.
Informatics/health IT implementation in DNP education: Faculty, organizational, and program characteristics for diverse professional roles
(IUPUI School of Informatics and Computing, 2020) Fulton, Cathy R.; Hinton Walker, Patricia
Nursing informatics/health IT is critical to achieving and measuring patient safety and outcomes as well as key components of graduate nursing education, accreditation and practice. Electronic survey findings (2011) from AACN accredited DNP program directors are compared to a replicated/expanded follow-up survey to further explore informatics/health IT content and experience.
Apathy and Anxiety are Related to Poor Function in Persons with Early-Onset Alzheimer’s Disease
(Oxford University Press, 2022) Crouch, Adele; Massimo, Lauren; School of Nursing
Neuropsychiatric symptoms are prevalent in persons with early-onset Alzheimer’s disease (EOAD) and may contribute to the inability to perform instrumental activities of daily living. We examined associations between frequently observed symptoms in persons with EOAD: apathy, anxiety, depression, and patient function. Caregivers of 94 persons with EOAD completed questionnaires including the Neuropsychiatric Inventory and the Functional Activities Questionnaire. Regression analyses were performed for each neuropsychiatric symptom as a predictor with covariates (age, sex disease duration) and our outcome was patient function. We then performed multivariate analysis with the significant predictors. We observed that apathy explained 20.51% [F(4,68)=5.65, adjusted R2=0.2051; p<0.001], anxiety explained 6.63% [F(4,70)=2.31, adjusted R2=0.0663 p<0.05], and depression was not a significant predictor of patient function. In a multivariate model, apathy and anxiety explained 21.03% [F(5,67)=4.83, adjusted R2=0.2103; p<0.001] of the variance in patient function. These results suggest apathy and anxiety contribute to diminished ability to complete functional activities.
Admission Factor V Predicts Transplant-Free Survival in Acute Liver Failure
(Springer, 2021) Patidar, Kavish R.; Davis, Brian C.; Slaven, James E.; Ghabril, Marwan S.; Kubal, Chandrashekhar A.; Lee, William M.; Stravitz, Richard T.; Biostatistics and Health Data Science, School of Medicine
Background and aims: Traditional laboratory markers are insensitive in distinguishing between patients with acute liver failure (ALF) who will require urgent liver transplantation (LT) from those who will recover spontaneously, particularly within 24 h of presentation. Coagulation factor-V (FV) may improve the accuracy of outcome prediction in ALF due to its predominant synthesis in the liver and short half-life in plasma. Methods: Patients enrolled in the ALF Study Group Registry from a single site had FV determined within 24 h of presentation (Derivation-Cohort). Area under the receiver operating characteristic curves (AUROC) dichotomized by ALF etiology [acetaminophen (APAP) or non-APAP] were constructed to evaluate the diagnostic performance of FV for transplant-free-survival (TFS). Multivariate logistic regression modeling was performed using FV and other clinical variables to predict TFS. Accuracy of FV and multivariable model were performed in a Validation-Cohort from a different site. Results: 90-patients (56% with APAP) were included in the Derivation-Cohort. Median FV was significantly higher in TFS versus those who died/LT (31% vs. 15%, respectively; p = 0.001). When dichotomized by etiology, AUROC for FV was 0.77 for APAP (cutoff, sensitivity, specificity 10.5%, 79%, 69%, respectively) and 0.77 for non-APAP (22%, 85%, 67%, respectively). When the optimal cutoffs for FV in the Derivation-Cohort were applied to the Validation-Cohort (N = 51; 59% with APAP), AUROC for FV was 0.75 for APAP (sensitivity/specificity 81/44) and 0.95 for non-APAP (sensitivity/specificity 90/73). In multivariate analyses, AUROC for FV model was 0.86 in the Derivation-Cohort and 0.90 in the Validation-Cohort. Conclusion: Admission FV may improve selection of patients who are likely to improve without LT.