How Noncredit Enrollments Distort Community College IPEDS Data: An Eight-State Study

A commonly used metric for measuring college costs, drawn from data in the Integrated Postsecondary Education Data System (IPEDS), is expenditure per full-time equivalent (FTE) student. This article discusses an error in this per FTE calculation when using IPEDS data, especially with regard to community colleges. The problem is that expenditures for noncredit courses are reported to IPEDS but enrollments are not. This exclusion inflates any per FTE student figure calculated from IPEDS, in particular expenditures and revenues. A 2021 IPEDS Technical Review Panel (TRP #62) acknowledged this problem and moved campus institutional research offices a step closer to reporting noncredit enrollment data (RTI International, 2021). This article is the first to provide some numbers on the magnitude of this problem. It covers eight states—California, Iowa, New Jersey, New York, North Carolina, South Carolina, Tennessee, and Virginia. Data on noncredit community college enrollments were made available from system offices in all states. In addition, discussions were held at both the system level and the campus level to verify the data and assumptions. Figures provided by states were merged with existing IPEDS data at the campus and state levels, and then were adjusted to account for noncredit enrollments. The results provide evidence that calculations using IPEDS data alone overestimate the resources that community colleges have to spend on each student, although distortions vary greatly between states and among colleges in the same state. The results have important implications for research studies and college benchmarking.

Older Adults and the Impact of COVID-19: Lessons Learned from a Two-State Study

The COVID-19 pandemic has led to increased strains on the rapidly increasing aging population’s mental, emotional, and physiological health. COVID-19, which belongs to a family of respiratory viruses, was first detected in China before spreading to other parts of the globe. Due to underlying health conditions and weakened immune systems, the aging population is at greater risk for contracting COVID-19. To better prepare for a future pandemic, it is necessary to explore the psychosocial impacts of limited human interactions to make the aging population feel safer while mitigating harm to their mental and emotional health. The purpose of this study is to highlight the experiences of the aging population with COVID-19, including psychosocial, behavioral responses to the pandemic, and older adults’ overall well-being. We surveyed a total of 203 adults 55 and older regarding their experiences with the pandemic. Survey components included the COVID-19 Household Environment Scale (Behar-Zusman, Chavez, & Gattamorta, ND), selected items from the COVID-19 Impact Study and open-ended questions, the Generalized Anxiety Disorder Assessment (Williams et al., 2006), and the UCLA Loneliness Scale (Russell, Peplau, & Ferguson, 1978). Preliminary analyses indicate that most participants had not experienced any COVID-19 symptoms, nor did they know anyone who had passed away from the virus. However, participants did report loneliness and less family cohesion because of the pandemic. Findings from this study will be used to help older adults cope with the impact of the current pandemic and future pandemics.

Seven-State Study of Assisted Living and Healthcare Providers’ Responses to COVID-19

COVID-19 has inordinately affected assisted living (AL), such that the proportion of fatalities to cases has been 21% in AL versus 2.5% for the general population. Understanding how AL administrators and medical and mental health providers have responded to COVID-19 can inform health care going forward. Using a seven-state stratified random sample of 250 communities, administrators were interviewed and providers completed questionnaires regarding COVID-19 practices. Preliminary data indicate that 79%, 44%, and 62% of administrators reported serving meals in rooms to segregate residents, using telemedicine, and providing extra pay for staff, respectively. Perceived use/effectiveness of practices differed based on dementia case-mix (e.g., face coverings, social distancing). Providers reported less access to patients (82%), more telehealth (63%), and less ability to provide care (43%). However, they uniformly reported high confidence in AL staff ability to prevent (94%) and respond to outbreaks (96%). Discussion will summarize points important for future care.

Post-stroke fatigue is associated with resting state posterior hypoactivity and prefrontal hyperactivity

Background Fatigue is associated with poor functional outcomes and increased mortality following stroke. Survivors identify fatigue as one of their key unmet needs. Despite the growing body of research into post-stroke fatigue, the specific neural mechanisms remain largely unknown. Aim This observational study aimed to identify resting state brain activity markers of post-stroke fatigue. Method Sixty-three stroke survivors (22 women; age 30–89 years; mean 67.5 ± 13.4 years) from the Cognition And Neocortical Volume After Stroke study, a cohort study examining cognition, mood, and brain volume in stroke survivors following ischemic stroke, underwent brain imaging three months post-stroke, including a 7-minute resting state functional magnetic resonance imaging. We calculated the fractional amplitude of low-frequency fluctuations, which is measured at the whole-brain level and can detect altered spontaneous neural activity of specific regions. Results Forty-five participants reported experiencing post-stroke fatigue as measured by an item on the Patient Health Questionnaire-9. Fatigued compared to non-fatigued participants demonstrated significantly lower resting-state activity in the calcarine cortex ( p < 0.001, cluster-corrected pFDR = 0.009, k = 63) and lingual gyrus ( p < 0.001, cluster-corrected pFDR = 0.025, k = 42) and significantly higher activity in the medial prefrontal cortex ( p < 0.001, cluster-corrected pFDR = 0.03, k = 45). Conclusions Post-stroke fatigue is associated with posterior hypoactivity and prefrontal hyperactivity reflecting dysfunction within large-scale brain systems such as fronto-striatal-thalamic and frontal-occipital networks. These systems in turn might reflect a relationship between post-stroke fatigue and abnormalities in executive and visual functioning. This whole-brain resting-state study provides new targets for further investigation of post-stroke fatigue beyond the lesion approach.