An Op-Ed Writing Curriculum for Medical Students to Engage in Advocacy Through Public Writing.

BACKGROUND: Op-ed writing can be a powerful and accessible advocacy tool for physicians, but training is lacking in undergraduate medical education. AIM: To train and engage first-year medical students in op-ed writing. SETTING: Midwestern research-intensive medical school. PARTICIPANTS: All students in a required first-year health policy course in 2021 and 2022. PROGRAM DESCRIPTION: For their health policy course's final assignment, students could opt to write an op-ed on a healthcare issue of their choice. All students received written instruction on op-ed writing. Additionally, they could access a seminar, coaching and editing by peers and faculty, and publication guidance. PROGRAM EVALUATION: Of 179 students over 2 years, 105 chose to write op-eds. Fifty-one attended the seminar, 35 attended peer coaching sessions, 33 accessed structured peer editing, and 23 received faculty assistance. Thirty-eight students submitted a total of 42 op-eds for publication. Twenty-two pieces were published in major outlets and 17 in the university's health policy review. Of the 22 in major outlets, 21 received editing from either peers or faculty. DISCUSSION: An op-ed writing curriculum can be integrated into an existing medical school health policy course, resulting in a high level of engagement and in published op-eds by medical students.

Reducing Physical Therapy Consults for Patients With High Functional Mobility in the Acute Medical Inpatient Setting: A Difference-in-Difference Analysis.

OBJECTIVE: To evaluate the effectiveness of clinical decision support for reducing misallocation of physical therapy (PT) consults. DESIGN: A prospective quasi-experimental study. Between October 2018 and November 2021, routinely documented data on functional status and physical therapy referrals were collected from electronic medical records. SETTING: Hospital Medicine and General Internal Medicine service lines at a large quaternary academic medical center. PARTICIPANTS: 20,810 adult patients hospitalized on any of the included treatment (hospital medicine) or control (general internal medicine) service lines. MAIN OUTCOME MEASURE: The primary outcome was "change in proportion of misallocated PT consults" measured as likelihood of PT consults for patients admitted with high functional mobility scores. Changes in the primary outcome from the pre-intervention to post-intervention period were compared in the control and treatment groups using propensity score-weighted difference-in-differences multivariable logit regression adjusting for clinically relevant covariates. INTERVENTION: The intervention period was measured for 20 months and consisted of a clinical decision support tool embedded in the daily note templates for hospital medicine providers. The tool provided education on patient mobility scores and their relation to need for PT consult. The tool was rolled out without any further announcements or education. RESULTS: Our cohort included 20,810 unique admissions (mean age 58.9, 55% women, 83% Black). Post-intervention, the likelihood of PT referrals for patients with high baseline mobility (AM-PAC >18) decreased by 7.3% (P<.001) for the treatment group compared with control, adjusted for age, sex, race, ethnicity, length-of-stay, and mobility change. CONCLUSION: Mobility score-based clinical decision support can decrease unneeded PT consults in the inpatient setting. This could help allocate therapy time for at-risk patients while also having a positive effect on health care systems.

The Design and Early Results of a Structured Longitudinal Training Program for Undergraduate Students to Increase Diversity in Aging-Research.

Background: The Cultivating Health and Aging Researchers by Integrating Science, Medicine, and Aging (CHARISMA) program at the University of Chicago (UC), is an NIA-funded longitudinal clinical research training program for undergraduate students from groups underrepresented in the sciences and medicine. CHARISMA students participate in an aging-focused: 1) realistic research career experience, 2) didactic curriculum, and 3) multi-tiered mentorship program. This manuscript describes CHARISMA and early quantitative data demonstrating its success. Methods: Students apply for and are accepted into CHARISMA in year-long intervals, with programming lasting from June to May. Short-term outcomes are measured using student surveys, including an adapted 23-question version of the critical research appraisal inventory (CRAI), the Geriatrics Attitude Scale for Primary Care Residents, and questions rating the overall program, mentor, importance of aging research, and career interests. Results: Twenty-two students have completed CHARISMA. After completing CHARISMA, student aggregate CRAI scores increased (6.8 to 7.5, p = 0.04). Additionally, the substantial majority of students completing CHARISMA were definitely, very or somewhat Additionally, 87% (19/22), 73% (16/22), and 82% (18/22) of students were definitely, very, or somewhat interested in pursuing a career in medicine that serves older adults, pursuing a career in clinical research, or pursuing a career focused on aging-related research. Conclusion: Early data demonstrates that CHARISMA increases undergraduate student knowledge of and interest in aging-related clinical research.

Estimated cost-savings from optimizing use of inhaled medications for inpatients with obstructive lung disease.

CONCLUSIONS: Models representing transitions from all-nebulized to nebulizer-plus-MDI respiratory medications resulted in cost savings, largely from the reduction of labor cost of nebulizer administration with nebs-only treatment. Therefore, transitioning from nebs to MDIs can lead to cost savings and could allow greater opportunities for inhaler education.

Fixing Flexner: Disrupting and Rebuilding Academic Medicine for Women of Color to Lead.

In an effort to address the lack of compositional diversity seen in academic leadership, our generation has an opportunity to rebuild academic medicine in a way that welcomes, values, and supports the development and success of women of color.

Adapting a Medical School Cancer Research Education Program to the Virtual Environment: a Mixed-Methods Study.

With cancer incidence increasing worldwide, physicians with cancer research training are needed. The Scholars in Oncology-Associated Research (SOAR) cancer research education program was developed to train medical students in cancer research while exposing them to the breadth of clinical oncology. Due to the COVID-19 pandemic, SOAR transitioned from in-person in 2019 to virtual in 2020 and hybrid in 2021. This study investigates positive and negative aspects of the varying educational formats. A mixed-methods approach was used to evaluate the educational formats. Pre- and post-surveys were collected from participants to assess their understanding of cancer as a clinical and research discipline. Structured interviews were conducted across all three cohorts, and thematic analysis was used to generate themes. A total of 37 students participated in SOAR and completed surveys (2019 n = 11, 2020 n = 14, and 2021 n = 12), and 18 interviews were conducted. Understanding of oncology as a clinical (p < 0.01 for all) and research discipline (p < 0.01 for all) improved within all three cohorts. There was no difference between each cohort's improvement in research understanding (p = 0.6). There was no difference between each cohort's understanding of oncology-related disciplines as both clinical and research disciplines (p > 0.1 for all). Thematic analysis demonstrated that hybrid and in-person formats were favored over a completely virtual one. Our findings demonstrate that a medical student cancer research education program is effective using in-person or hybrid formats for research education, although virtual experiences may be suboptimal to learning about clinical oncology.

Use of Twitter Amplifiers by Medical Professionals to Combat Misinformation During the COVID-19 Pandemic.

Social media is an important tool for disseminating accurate medical information and combating misinformation (ie, the spreading of false or inaccurate information) and disinformation (ie, spreading misinformation with the intent to deceive). The prolific rise of inaccurate information during a global pandemic is a pressing public health concern. In response to this phenomenon, health professional amplifiers such as IMPACT (Illinois Medical Professional Action Collaborative Team) have been created as a coordinated response to enhance public communication and advocacy around the COVID-19 pandemic.

Empowering Health Care Workers on Social Media to Bolster Trust in Science and Vaccination During the Pandemic: Making IMPACT Using a Place-Based Approach.

BACKGROUND: Given the widespread and concerted efforts to propagate health misinformation on social media, particularly centered around vaccination during the pandemic, many groups of clinicians and scientists were organized on social media to tackle misinformation and promote vaccination, using a national or international lens. Although documenting the impact of such social media efforts, particularly at the community level, can be challenging, a more hyperlocal or "place-based approach" for social media campaigns could be effective in tackling misinformation and improving public health outcomes at a community level. OBJECTIVE: We aimed to describe and document the effectiveness of a place-based strategy for a coordinated group of Chicago health care workers on social media to tackle misinformation and improve vaccination rates in the communities they serve. METHODS: The Illinois Medical Professionals Action Collaborative Team (IMPACT) was founded in March 2020 in response to the COVID-19 pandemic, with representatives from major academic teaching hospitals in Chicago (eg, University of Chicago, Northwestern University, University of Illinois, and Rush University) and community-based organizations. Through crowdsourcing on multiple social media platforms (eg, Facebook, Twitter, and Instagram) with a place-based approach, IMPACT engaged grassroots networks of thousands of Illinois health care workers and the public to identify gaps, needs, and viewpoints to improve local health care delivery during the pandemic. RESULTS: To address vaccine misinformation, IMPACT created 8 "myth debunking" infographics and a "vaccine information series" of 14 infographics that have generated >340,000 impressions and informed the development of vaccine education for the Chicago Public Libraries. IMPACT delivered 13 policy letters focusing on different topics, such as health care worker personal protective equipment, universal masking, and vaccination, with >4000 health care workers signatures collected through social media and delivered to policy makers; it published over 50 op-eds on COVID-19 topics in high-impact news outlets and contributed to >200 local and national news features. Using the crowdsourcing approach on IMPACT social media channels, IMPACT mobilized health care and lay volunteers to staff >400 vaccine events for >120,000 individuals, many in Chicago's hardest-hit neighborhoods. The group's recommendations have influenced public health awareness campaigns and initiatives, as well as research, advocacy, and policy recommendations, and they have been recognized with local and national awards. CONCLUSIONS: A coordinated group of health care workers on social media, using a hyperlocal place-based approach, can not only work together to address misinformation but also collaborate to boost vaccination rates in their surrounding communities.

A coordinated strategy to develop and distribute infographics addressing COVID-19 vaccine hesitancy and misinformation.

BACKGROUND: Visual communication strategies are becoming increasingly prevalent for conveying information to health professionals as well as to the general public. The potential of social media for rapid knowledge dissemination using infographics was recognized early in the coronavirus disease (COVID-19) pandemic by health professionals. OBJECTIVE: The purpose of this study was to describe a coalition of health professionals' approach to developing infographics about COVID-19 vaccines and the reach and engagement of those infographics when shared through social media. METHODS: Infographics were created by a core team within the coalition following a stepwise approach. Each underwent a multistep review process, readability evaluation, and translation into Spanish. Infographics were then shared through multiple social media platforms. They were grouped into 1 of 3 categories for this analysis: COVID-19 vaccine series, myth debunkers, or other. RESULTS: All infographics had greater outreach, impressions, and engagement on Twitter than they did on other platforms. When comparing the 3 groups, no 1 infographic type was consistently performing higher than the others. CONCLUSION: Each infographic reached thousands to tens of thousands of people. We do not know whether those who viewed these infographics changed their perspective on vaccination, so we are unable to draw a conclusion about their impact on vaccine hesitancy based on this study alone.

Sleep Monitoring during Acute Stroke Rehabilitation: Toward Automated Measurement Using Multimodal Wireless Sensors.

Sleep plays a critical role in stroke recovery. However, there are limited practices to measure sleep for individuals with stroke, thus inhibiting our ability to identify and treat poor sleep quality. Wireless, body-worn sensors offer a solution for continuous sleep monitoring. In this study, we explored the feasibility of (1) collecting overnight biophysical data from patients with subacute stroke using a simple sensor system and (2) constructing machine-learned algorithms to detect sleep stages. Ten individuals with stroke in an inpatient rehabilitation hospital wore two wireless sensors during a single night of sleep. Polysomnography served as ground truth to classify different sleep stages. A population model, trained on data from multiple patients and tested on data from a separate patient, performed poorly for this limited sample. Personal models trained on data from one patient and tested on separate data from the same patient demonstrated markedly improved performance over population models and research-grade wearable devices to detect sleep/wake. Ultimately, the heterogeneity of biophysical signals after stroke may present a challenge in building generalizable population models. Personal models offer a provisional method to capture high-resolution sleep metrics from simple wearable sensors by leveraging a single night of polysomnography data.

SYNGAP1 Controls the Maturation of Dendrites, Synaptic Function, and Network Activity in Developing Human Neurons.

SYNGAP1 is a major genetic risk factor for global developmental delay, autism spectrum disorder, and epileptic encephalopathy. De novo loss-of-function variants in this gene cause a neurodevelopmental disorder defined by cognitive impairment, social-communication disorder, and early-onset seizures. Cell biological studies in mouse and rat neurons have shown that Syngap1 regulates developing excitatory synapse structure and function, with loss-of-function variants driving formation of larger dendritic spines and stronger glutamatergic transmission. However, studies to date have been limited to mouse and rat neurons. Therefore, it remains unknown how SYNGAP1 loss of function impacts the development and function of human neurons. To address this, we used CRISPR/Cas9 technology to ablate SYNGAP1 protein expression in neurons derived from a commercially available induced pluripotent stem cell line (hiPSC) obtained from a human female donor. Reducing SynGAP protein expression in developing hiPSC-derived neurons enhanced dendritic morphogenesis, leading to larger neurons compared with those derived from isogenic controls. Consistent with larger dendritic fields, we also observed a greater number of morphologically defined excitatory synapses in cultures containing these neurons. Moreover, neurons with reduced SynGAP protein had stronger excitatory synapses and expressed synaptic activity earlier in development. Finally, distributed network spiking activity appeared earlier, was substantially elevated, and exhibited greater bursting behavior in SYNGAP1 null neurons. We conclude that SYNGAP1 regulates the postmitotic maturation of human neurons made from hiPSCs, which influences how activity develops within nascent neural networks. Alterations to this fundamental neurodevelopmental process may contribute to the etiology of SYNGAP1-related disorders.SIGNIFICANCE STATEMENTSYNGAP1 is a major genetic risk factor for global developmental delay, autism spectrum disorder, and epileptic encephalopathy. While this gene is well studied in rodent neurons, its function in human neurons remains unknown. We used CRISPR/Cas9 technology to disrupt SYNGAP1 protein expression in neurons derived from an induced pluripotent stem cell line. We found that induced neurons lacking SynGAP expression exhibited accelerated dendritic morphogenesis, increased accumulation of postsynaptic markers, early expression of synapse activity, enhanced excitatory synaptic strength, and early onset of neural network activity. We conclude that SYNGAP1 regulates the postmitotic differentiation rate of developing human neurons and disrupting this process impacts the function of nascent neural networks. These altered developmental processes may contribute to the etiology of SYNGAP1 disorders.

Sleep Disturbances in Frontline Health Care Workers During the COVID-19 Pandemic: Social Media Survey Study.

BACKGROUND: During the COVID-19 pandemic, health care workers are sharing their challenges, including sleep disturbances, on social media; however, no study has evaluated sleep in predominantly US frontline health care workers during the COVID-19 pandemic. OBJECTIVE: The aim of this study was to assess sleep among a sample of predominantly US frontline health care workers during the COVID-19 pandemic using validated measures through a survey distributed on social media. METHODS: A self-selection survey was distributed on Facebook, Twitter, and Instagram for 16 days (August 31 to September 15, 2020), targeting health care workers who were clinically active during the COVID-19 pandemic. Study participants completed the Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI), and they reported their demographic and career information. Poor sleep quality was defined as a PSQI score ≥5. Moderate-to-severe insomnia was defined as an ISI score >14. The Mini-Z Burnout Survey was used to measure burnout. Multivariate logistic regression tested associations between demographics, career characteristics, and sleep outcomes. RESULTS: A total of 963 surveys were completed. Participants were predominantly White (894/963, 92.8%), female (707/963, 73.4%), aged 30-49 years (692/963, 71.9%), and physicians (620/963, 64.4%). Mean sleep duration was 6.1 hours (SD 1.2). Nearly 96% (920/963, 95.5%) of participants reported poor sleep (PSQI). One-third (288/963, 30%) reported moderate or severe insomnia. Many participants (554/910, 60.9%) experienced sleep disruptions due to device use or had nightmares at least once per week (420/929, 45.2%). Over 50% (525/932, 56.3%) reported burnout. In multivariable logistic regressions, nonphysician (odds ratio [OR] 2.4, 95% CI 1.7-3.4), caring for patients with COVID-19 (OR 1.8, 95% CI 1.2-2.8), Hispanic ethnicity (OR 2.2, 95% CI 1.4-3.5), female sex (OR 1.6, 95% CI 1.1-2.4), and having a sleep disorder (OR 4.3, 95% CI 2.7-6.9) were associated with increased odds of insomnia. In open-ended comments (n=310), poor sleep was mapped to four categories: children and family, work demands, personal health, and pandemic-related sleep disturbances. CONCLUSIONS: During the COVID-19 pandemic, nearly all the frontline health care workers surveyed on social media reported poor sleep, over one-third reported insomnia, and over half reported burnout. Many also reported sleep disruptions due to device use and nightmares. Sleep interventions for frontline health care workers are urgently needed.

Physician and Nurse Practitioner Attitudes on Generic Prescribing of Oral Contraceptive Pills and Antidepressants.

IMPORTANCE: As prescription drug costs rise, it is important to understand attitudes among primary care physicians and nurse practitioners (NPs) towards generic drugs. OBJECTIVE: We aimed to examine the generic skepticism index (GSI) among primary care clinicians, and their willingness to discuss and prescribe generic antidepressants (ADs) and generic oral contraceptives (OCPs). DESIGN: We used a factorial vignette design survey to test 4 factors: message source, message, brand preference, and drug class. Participants were randomized to different combinations of factors. SETTING: This was a cross-sectional study. PARTICIPANTS: Physicians registered with the American College of Physicians (ACP) and NPs registered with the American Association of Nurse Practitioners (AANP) participated in the study. MAIN MEASURES: The primary outcomes were generic skepticism as measured using the generic skepticism index (GSI), and clinician willingness to discuss and prescribe generics. RESULTS: Surveys were completed by 56% of physicians (n = 369/661) and 60% of NPs (n = 493/819). Compared with physicians, NPs were younger (p < 0.001), predominantly female (p < 0.001), and differed in the race (p < 0.001). According to the GSI, 16% (n = 138/862) were identified as generic skeptics (18.5% of NPs and 12.7% of physicians, p = 0.023). Generic skeptics had lower odds of willingness to discuss switching (OR 0.22, 95% CI (0.14-0.35), p < 0.001) or prescribe (OR 0.18, 95% CI (0.11-0.28), p < 0.001) generic OCPs. Participants had lower odds of willingness to prescribe generic drugs to patients with brand preference compared with brand-neutral patients (OR 0.64, 95% CI 0.50-0.82, p < 0.001). CONCLUSIONS AND RELEVANCE: Generic skepticism was associated with lower willingness to discuss or prescribe generic drugs. Clinicians reported lower willingness to discuss switching or prescribe generics for OCPs than for ADs. Patient brand preference hindered generic prescribing. Message source and message type were not significantly associated with outcomes.

Evaluating the Need to Address Digital Literacy Among Hospitalized Patients: Cross-Sectional Observational Study.

BACKGROUND: Technology is a potentially powerful tool to assist patients with transitions of care during and after hospitalization. Patients with low health literacy who are predisposed to poor health outcomes are particularly poised to benefit from such interventions. However, this population may lack the ability to effectively engage with technology. Although prior research studied the role of health literacy in technology access/use among outpatients, hospitalized patient populations have not been investigated in this context. Further, with the rapid uptake of technology, access may no longer be pertinent, and differences in technological capabilities may drive the current digital divide. Thus, characterizing the digital literacy of hospitalized patients across health literacy levels is paramount. OBJECTIVE: We sought to determine the relationship between health literacy level and technological access, use, and capability among hospitalized patients. METHODS: Adult inpatients completed a technology survey that asked about technology access/use and online capabilities as part of an ongoing quality of care study. Participants' health literacy level was assessed utilizing the 3-question Brief Health Literacy Screen. Descriptive statistics, bivariate chi-squared analyses, and multivariate logistic regression analyses (adjusting for age, race, gender, and education level) were performed. Using Bonferroni correction for the 18 tests, the threshold P value for significance was <.003. RESULTS: Among 502 enrolled participants, the mean age was 51 years, 71.3% (358/502) were African American, half (265/502, 52.8%) were female, and half (253/502, 50.4%) had at least some college education. Over one-third (191/502, 38.0%) of participants had low health literacy. The majority of participants owned devices (owned a smartphone: 116/173, 67.1% low health literacy versus 235/300, 78.3% adequate health literacy, P=.007) and had used the Internet previously (143/189, 75.7% low health literacy versus 281/309, 90.9% adequate health literacy, P<.001). Participants with low health literacy were more likely to report needing help performing online tasks (133/189, 70.4% low health literacy versus 135/303, 44.6% adequate health literacy, P<.001). In the multivariate analysis, when adjusting for age, race, gender, and education level, we found that low health literacy was not significantly associated with a lower likelihood of owning smartphones (OR: 0.8, 95% CI 0.5-1.4; P=.52) or using the internet ever (OR: 0.5, 95% CI 0.2-0.9; P=.02). However, low health literacy remained significantly associated with a higher likelihood of needing help performing any online task (OR: 2.2, 95% CI 1.3-3.6; P=.002). CONCLUSIONS: The majority of participants with low health literacy had access to technological devices and had used the internet previously, but they were unable to perform online tasks without assistance. The barriers patients face in using online health information and other health information technology may be more related to online capabilities rather than to technology access. When designing and implementing technological tools for hospitalized patients, it is important to ensure that patients across digital literacy levels can both understand and use them.

Who Gets the Benefit of the Doubt? Performance Evaluations, Medical Errors, and the Production of Gender Inequality in Emergency Medical Education.

Why do women continue to face barriers to success in professions, especially male-dominated ones, despite often outperforming men in similar subjects during schooling? With this study, we draw on role expectations theory to understand how inequality in assessment emerges as individuals transition from student to professional roles. To do this, we leverage the case of medical residency so that we can examine how changes in role expectations shape assessment while holding occupation and organization constant. By analyzing a dataset of 2,765 performance evaluations from a three-year emergency medicine training program, we empirically demonstrate that women and men are reviewed as equally capable at the beginning of residency, when the student role dominates; however, in year three, when the colleague role dominates, men are perceived as outperforming women. Furthermore, when we hold resident performance somewhat constant by comparing feedback to medical errors of similar severity, we find that in the third year of residency, but not the first, women receive more harsh criticism and less supportive feedback than men. Ultimately, this study suggests that role expectations, and the implicit biases they can trigger, matter significantly to the production of gender inequality, even when holding organization, occupation, and resident performance constant.

Development and testing of a web module to IMPROVE generic prescribing of oral contraceptives among primary care physicians.

WHAT IS KNOWN AND OBJECTIVE: The use of generic oral contraceptives (OCPs) can improve adherence and reduce healthcare costs, yet scepticism of generic drugs remains a barrier to generic OCP discussion and prescription. An educational web module was developed to reduce generic scepticism related to OCPs, improve knowledge of generic drugs and increase physician willingness to discuss and prescribe generic OCPs. METHODS: A needs assessment was completed using in-person focus groups at American College of Physicians (ACP) Annual Meeting and a survey targeting baseline generic scepticism. Insights gained were used to build an educational web module detailing barriers and benefits of generic OCP prescription. The module was disseminated via email to an ACP research panel who completed our baseline survey. Post-module evaluation measured learner reaction, knowledge and intention to change behaviour along with generic scepticism. RESULTS AND DISCUSSION: The module had a response rate of 56% (n = 208/369). Individuals defined as generic sceptics at baseline were significantly less likely to complete our module compared to non-sceptics (responders 9.6% vs non-responders 16.8%, P = 0.04). The majority (85%, n = 17/20) of baseline sceptics were converted to non-sceptics (P < 0.01) following completion of the module. Compared to non-sceptics, post-module generic sceptics reported less willingness to discuss (sceptic 33.3% vs non-sceptic 71.5%, P < 0.01), but not less willingness to prescribe generic OCPs (sceptic 53.3% vs non-sceptic 67.9%, P = 0.25). Non-white physicians and international medical graduates (IMG) were more likely to be generic sceptics at baseline (non-white 86.9% vs white 69.9%, P = 0.01, IMG 13.0% vs USMG 5.0% vs unknown 18.2%, P = 0.03) but were also more likely to report intention to prescribe generic OCPs as a result of the module (non-white 78.7% vs white 57.3%, P < 0.01, IMG 76.1% vs USMG 50.3% vs unknown 77.3%, P = 0.03). WHAT IS NEW AND CONCLUSION: A brief educational web module can be used to promote prescribing of generic OCPs and reduce generic scepticism.

Availability of Long-Acting Injectable Buprenorphine at Substance Use Treatment Facilities in 2021.

This study assesses the proportion of US substance use and mental health care facilities that offered any medications for opioid use disorder and, specifically, long-acting injectable buprenorphine in 2021.