Croghan, Ivana T

Objective The purpose of this study was to determine self-reported knowledge, attitudes, prior experience, and perceived needs for the management of overweight and obese patients within a General Internal Medicine Practice. Patients and Methods An emailed cross-sectional survey was sent between June 20, 2019 and September 12, 2019 to 194 healthcare workers (93 primary care providers (PCPs) and 101 nurses) which focused on management of patients with weight issues. Results In total, 80 of the eligible 194 participants completed the survey (nurses = 42, PCPs = 38). Up to 87% were white, 74.7% female (74.7%). Most of the responders were either in the age group of 30’s (30%) or 50’s (30%). Among the responders, 48.8% reported some type of specialty training in weight management since their medical training with lectures being the most common form of training (36%). When asked about their interest in either weight management training or strategies to initiate weight conversations, 79% of the respondents reported an interest in education on weight management or strategies to initiate weight conversations, while 65.8% indicated they would be interested in both topics. Conclusion Our study suggests that healthcare workers have a self-reported need for further training in management of overweight and obese patients, irrespective of previous training in this area.

Objective To describe the process and outcome of creating a patient cohort in the early stages of the COVID-19 pandemic in order to better understand the process of and predict the outcomes of COVID-19. Patients and Methods A total of 1169 adults aged 18 years of age or older who tested positive in Mayo Clinic Rochester or the Mayo Clinic Midwest Health System between January 1 and May 23 of 2020. Results Patients were on average 43.9 years of age and 50.7% were female. Most patients were white (69.0%), and Blacks (23.4%) and Asians (5.8%) were also represented in larger numbers. Hispanics represented 16.3% of the sample. Just under half of patients were married (48.4%). Common comorbid conditions included: cardiovascular diseases (25.1%), dyslipidemia (16.0%), diabetes mellitus (11.2%), chronic obstructive pulmonary disease (6.6%), asthma (7.5%), and cancer (5.1%). All other comorbid conditions were less the 5% in prevalence. Data on 3 comorbidity indices are also available including the: DHHS multi-morbidity score, Charlson Comorbidity Index, and Mayo Clinic COVID-19 Risk Factor Score. Conclusion In addition to managing the ever raging pandemic and growing death rates, it is equally important that we develop adequate resources for the investigation and understanding of COVID-19-related predictors and outcomes.

Objective: Clinical decision support systems (CDDSs) in the electronic medical record (EMR) have been implemented in primary care settings to identify patients due for cancer screening tests, while functioning as a real time reminder system. There is little known about primary care providers (PCPs) perspective or user acceptance of CDSS. The purpose of this study was to investigate primary care provider perceptions of utilizing CDSS alerts in the EMR to promote increased screening rates for breast cancer, cervical cancer, and colorectal cancer. Methods: An electronic survey was administered to PCPs in a Midwest Health Institution community internal medicine practice from September 25, 2019 through November 27, 2019. Results: Among 37 participants (9 NP/Pas and 28 MD/DOs), the NP/PA group was more likely to agree that alerts were helpful (50%; P-value = .0335) and the number of alerts (89%; P = .0227) in the EMR was appropriate. The NP/PA group also was more likely to find alerts straightforward to use (78%, P = .0239). Both groups agreed about feeling comfortable using the health maintenance alerts ( MD/DO = 79%; NP/PA = 100%). Conclusion: CDSSs can promote and facilitate ordering of cancer screening tests. The use of technology can promptly identify patients due for a test and act as a reminder to the PCP. PCPs identify these alerts to be a beneficial tool in the EMR when they do not interrupt workflow and provide value to patient care. More work is needed to identify factors that could optimize alerts to be even more helpful, particularly to MD/DO groups.