Faculty Bibliography

BACKGROUND:Hospitalization can be hazardous for older people, but most hospitals in Europe are not prepared to meet the unique needs of older adult inpatients. Adaptations of the physical environment, care processes, and staff knowledge and skills in geriatric care are essential to improve the quality of care for older people. An assessment of baseline organizational approaches to older adult care is an important first step toward recognizing the challenges organizations face when delivering acute care services to older adults and attempting to improve them. The Geriatric Institutional Assessment Profile could be a promising tool for this endeavor. OBJECTIVES/OBJECTIVE:To describe a systematic process implemented across seven countries and languages that sought to develop valid and culturally-appropriate translations of the Geriatric Institutional Assessment Profile. DESIGN/METHODS:Cross-cultural instrument translation and content validation study. SETTING AND PARTICIPANTS/METHODS:Expert review panels comprised of 68 practicing nurses from seven European or EU associated countries (Austria (German), Belgium (Dutch), Denmark (Danish), Israel (Hebrew), Poland (Polish), Switzerland (German, French), and Turkey (Turkish)) evaluated cross-cultural relevance, including translation, of the Geriatric Institutional Assessment Profile. METHOD/METHODS:A systematic approach to translating and validating a cross-cultural survey instrument, including back-to-back translation, adaptation, and evaluation of content validity using content validity indexing (CVI) techniques for each country and language, assessing translation and relevance content validity separately. The item, subscale and domain content validity index scores were calculated and adjusted for chance agreement among raters for all parts of the Geriatric Institutional Assessment Profile: the four subscales of geriatric care environment, the general knowledge about older adults subscale, and the clinical geriatric knowledge subscale. Consensus discussions among the raters then finalized translations. RESULTS:CVI scores for relevance and translation were all in the "good" to "excellent" range. The geriatric care environment scale's CVI scores were 0.84 to 0.94 for relevance and 0.82 to 0.98 for translation. The clinical geriatric knowledge subscale's CVI scores were 0.83 to 0.97 for relevance and 0.94 to 0.98 for translation. The general knowledge about older adults subscale received high translation agreement (0.93 to 0.99) but slightly lower scores for relevance, ranging from 0.46 to 0.94. CONCLUSION/CONCLUSIONS:Study results provided preliminary evidence of the applicability and validity of a multi-factor measure of age-friendly care in diverse health care systems, in German, Dutch, Danish, Hebrew, Polish, French, and Turkish languages.

BACKGROUND:Residents receive infrequent feedback on their clinical reasoning (CR) documentation. While machine learning (ML) and natural language processing (NLP) have been used to assess CR documentation in standardized cases, no studies have described similar use in the clinical environment. OBJECTIVE:The authors developed and validated using Kane's framework a ML model for automated assessment of CR documentation quality in residents' admission notes. DESIGN, PARTICIPANTS, MAIN MEASURES/UNASSIGNED:Internal medicine residents' and subspecialty fellows' admission notes at one medical center from July 2014 to March 2020 were extracted from the electronic health record. Using a validated CR documentation rubric, the authors rated 414 notes for the ML development dataset. Notes were truncated to isolate the relevant portion; an NLP software (cTAKES) extracted disease/disorder named entities and human review generated CR terms. The final model had three input variables and classified notes as demonstrating low- or high-quality CR documentation. The ML model was applied to a retrospective dataset (9591 notes) for human validation and data analysis. Reliability between human and ML ratings was assessed on 205 of these notes with Cohen's kappa. CR documentation quality by post-graduate year (PGY) was evaluated by the Mantel-Haenszel test of trend. KEY RESULTS/RESULTS:The top-performing logistic regression model had an area under the receiver operating characteristic curve of 0.88, a positive predictive value of 0.68, and an accuracy of 0.79. Cohen's kappa was 0.67. Of the 9591 notes, 31.1% demonstrated high-quality CR documentation; quality increased from 27.0% (PGY1) to 31.0% (PGY2) to 39.0% (PGY3) (p < .001 for trend). Validity evidence was collected in each domain of Kane's framework (scoring, generalization, extrapolation, and implications). CONCLUSIONS:The authors developed and validated a high-performing ML model that classifies CR documentation quality in resident admission notes in the clinical environment-a novel application of ML and NLP with many potential use cases.

The COVID-19 pandemic drove a rapid transition to virtual care experiences for graduate medical trainees. Core training competencies have expanded to incorporate virtual contexts, however there is limited knowledge of the optimal design of virtual care training tools for learners. In this study, we describe the application of a Design Thinking approach to the identification and co-design of novel training tools to support residents and precepting attending physicians in virtual ambulatory care practice. We applied the model of "Empathize, Define, Ideate, Prototype, and Test" via a mixed methods approach to (1) explore the needs, preferences, and concerns of Internal Medicine residents and outpatient precepting attendings regarding virtual ambulatory care training environments, and (2) evaluate, prototype, and test potential training tools. Eleven residents and eight attending physicians participated. Identified learner needs and problem areas included: improving virtual visit technical skills; acquiring virtual communication skills; adapting to the loss of shared in-person learning space and optimizing virtual learning environments; remediating non-virtual procedural competencies; and educating on new documentation requirements. Key solution areas included: virtual precepting support tools; digital information and education dissemination tools; and strategies for management of technical issues. Several prototypes were proposed, with a single tool (a virtual preceptor tip sheet) deployed in clinical practice. Residents found the workshop program improved their understanding of Design Thinking and its relevance to healthcare. Ultimately, Design Thinking can be deployed to engage medical trainees and precepting attendings in the effective development of novel educational tools for the virtual care learning environment.

BACKGROUND:The need to engage adults, age 65 and older, in clinical trials of conditions typical in older populations, (e.g. hypertension, diabetes mellitus, Alzheimer's disease and related dementia) is exponentially increasing. Older adults have been markedly underrepresented in clinical trials, often exacerbated by exclusionary study criteria as well as functional dependencies that preclude participation. Such dependencies may further exacerbate communication challenges. Consequently, the evidence of what works in subject recruitment is less generalizable to older populations, even more so for those from racial and ethnic minority and low-income communities. METHODS:To support capacity of research staff, we developed a virtual, three station simulation (Group Objective Structured Clinical Experience-GOSCE) to teach research staff communication skills. This 2-h course included a discussion of challenges in recruiting older adults; skills practice with Standardized Participants (SPs) and faculty observer who provided immediate feedback; and debrief to highlight best practices. Each learner had opportunities for active learning and observational learning. Learners completed a retrospective pre-post survey about the experience. SP completed an 11-item communication checklist evaluating the learner on a series of established behaviorally anchored communication skills (29). RESULTS:In the research staff survey, 92% reported the overall activity taught them something new; 98% reported it provided valuable feedback; 100% said they would like to participate again. In the SP evaluation there was significant variation: the percent well-done of items by case ranged from 25-85%. CONCLUSIONS:Results from this pilot suggest that GOSCEs are a (1) acceptable; (2) low cost; and (3) differentiating mechanism for training and assessing research staff in communication skills and structural competency necessary for participant research recruitment.

BACKGROUND:Hospitalist physicians' workload-the total number of patients they care for daily-is rising in the U.S. Hospitalists report that increased workload negatively affects patients care. OBJECTIVE:Measure the associations between hospitalist physicians' workload and clinical outcomes. DESIGN, SETTINGS, AND PARTICIPANTS/METHODS:Observational study, using electronic health record (EHR) data, of adults hospitalized on the hospitalist service at Yale-New Haven Hospital from 2015-2018. MAIN OUTCOME AND MEASURES/METHODS:We defined hospitalists' workload as the number of patients they cared for on the first full hospital day of a given patient's encounter. We used multilevel Poisson and logistic regression to examine associations between workload and length of stay (LOS), return to the Emergency Department (ED), and readmission. We adjusted for sociodemographic factors, patient complexity and severity of illness, and weekend admission (for LOS) or discharge (for ED visits or readmission). RESULTS:We analyzed 38,141 hospitalizations. Median patient age was 64 years (IQR 51-78 years), 53% were female, and 34% were nonwhite. Mean workload was 15 patients (SD 3 patients; range 10-34 patients). LOS was prolonged by 0.05 days (95% CI 0.02, 0.08; p(0.001) when comparing the 75th workload percentile (16 patients) to the 25th workload percentile (13 patients). There were no associations between workload and ED visits or readmission within 7 and 30 days. CONCLUSIONS:There was a statistically significant but modest relationship between workload and LOS; workload was not associated with ED visits or readmissions.Given clinical reports of the deleterious effects of increased hospitalist workload, there is a need for prospective research assessing a range of outcomes, beyond those measurable in contemporary EHR data.

BACKGROUND: We previously developed and validated a predictive model to help clinicians identify hospitalized adults with coronavirus disease 2019 (COVID-19) who may be ready for discharge given their low risk of adverse events. Whether this algorithm can prompt more timely discharge for stable patients in practice is unknown. OBJECTIVES/OBJECTIVE: The aim of the study is to estimate the effect of displaying risk scores on length of stay (LOS). METHODS: We integrated model output into the electronic health record (EHR) at four hospitals in one health system by displaying a green/orange/red score indicating low/moderate/high-risk in a patient list column and a larger COVID-19 summary report visible for each patient. Display of the score was pseudo-randomized 1:1 into intervention and control arms using a patient identifier passed to the model execution code. Intervention effect was assessed by comparing LOS between intervention and control groups. Adverse safety outcomes of death, hospice, and re-presentation were tested separately and as a composite indicator. We tracked adoption and sustained use through daily counts of score displays. RESULTS: Enrolling 1,010 patients from May 15, 2020 to December 7, 2020, the trial found no detectable difference in LOS. The intervention had no impact on safety indicators of death, hospice or re-presentation after discharge. The scores were displayed consistently throughout the study period but the study lacks a causally linked process measure of provider actions based on the score. Secondary analysis revealed complex dynamics in LOS temporally, by primary symptom, and hospital location. CONCLUSION/CONCLUSIONS: An AI-based COVID-19 risk score displayed passively to clinicians during routine care of hospitalized adults with COVID-19 was safe but had no detectable impact on LOS. Health technology challenges such as insufficient adoption, nonuniform use, and provider trust compounded with temporal factors of the COVID-19 pandemic may have contributed to the null result. TRIAL REGISTRATION/BACKGROUND: ClinicalTrials.gov identifier: NCT04570488.

Prior international studies have shown mixed results regarding the association of hepatitis B and hepatitis C with adverse pregnancy outcomes. We performed an updated evaluation of the prevalence of associated adverse pregnancy outcomes and evaluated trends over time of diagnosis of chronic hepatitis B (HBV) and chronic hepatitis C (HCV) in pregnant women in a national database. All pregnant women with HBV and HCV were identified from the National Inpatient Sample database 2012 to 2018. Multivariate logistic regression analyses were performed to compare pregnancy-related complications, including rates of preeclampsia/eclampsia, gestational diabetes, intrauterine growth restriction, antepartum/intrapartum hemorrhage, preterm labor, and Cesarean section. We evaluated all-cause in-hospital mortality, length of stay, and total cost of hospitalizations. A total of 28.7 million pregnancy-related hospitalizations that met our eligibility criteria were identified, including 51,200 with HBV and 131,695 with HCV. In comparison with the uninfected controls, the HBV group was significantly more likely to develop gestational diabetes (12.94% vs. 6.94%, p < 0.001). The HCV group was more likely to have preterm labor (9.63% vs. 6.27%, p < 0.001), intrauterine growth restriction (6.04% vs. 2.89%, p < 0.001), longer length of stay (3.4 days vs. 2.7 days, p < 0.001), and higher hospitalization cost (15,052 dollars vs. 14,258 dollars, p < 0.001). These findings should inform counseling of women who are found to have HBV or HCV during pregnancy regarding the risk of adverse pregnancy outcomes and support the need for an interdisciplinary approach to optimize maternal and neonatal outcomes.

BACKGROUND:Human grayanotoxin poisoning is distinctly uncommon in North America, as the predominant source of human exposure is honey made by bees pollinating rhododendron species in the Mediterranean. We present a case of confirmed grayanotoxin poisoning from honey imported from Turkey. CASE REPORT/METHODS:A 61-year-old man developed nausea, lightheadedness, and lost consciousness. Onset was 30 min after the ingestion of honey that was brought to the United States from Turkey. Emergency medical services found him bradycardic, hypotensive, and unresponsive. He was treated with atropine, saline, and oxygen, at which point his heart rate and blood pressure improved, and he regained consciousness. A similar episode several days earlier was followed by a brief unrevealing hospitalization. He was again hospitalized, and had a normal echocardiogram, telemetric monitoring, and complete laboratory studies. Grayanotoxins I and III were subsequently identified in the patient's blood, urine, and honey. WHY SHOULD AN EMERGENCY PHYSICIAN BE AWARE OF THIS?: Grayanotoxins are diterpenoids found in rhododendron species, whose clinical effects span multiple organ systems including gastrointestinal, cardiac, and neurologic. Treatment is largely supportive, and a good response to atropine and intravenous fluids has been described. Laboratory confirmation of grayanotoxins is not available in a short enough turnaround time to be clinically useful during immediate management, but confirmatory testing may obviate further unnecessary evaluation. Grayanotoxins are likely to remain a rare source of poisoning in North America, but recurrent bradycardia without alternative etiology should prompt a thorough exposure history, which may reveal, as in this case, a treatable toxicologic etiology.

BACKGROUND:Experiential learning through patient care is fundamental to graduate medical education. Despite this, the actual content to which trainees are exposed in clinical practice is difficult to quantify and is poorly characterized. There remains an unmet need to define precisely how residents' patient care activities inform their educational experience.  METHODS: Using a recently-described crosswalk tool, we mapped principal ICD-10 discharge diagnosis codes to American Board of Internal Medicine (ABIM) content at four training hospitals of a single Internal Medicine (IM) Residency Program over one academic year to characterize and compare residents' clinical educational experiences. Frequencies of broad content categories and more specific condition categories were compared across sites to profile residents' aggregate inpatient clinical experiences and drive curricular change. RESULTS:There were 18,604 discharges from inpatient resident teams during the study period. The crosswalk captured > 95% of discharges at each site. Infectious Disease (ranging 17.4 to 39.5% of total discharges) and Cardiovascular Disease (15.8 to 38.2%) represented the most common content categories at each site. Several content areas (Allergy/Immunology, Dermatology, Obstetrics/Gynecology, Ophthalmology, Otolaryngology/Dental Medicine) were notably underrepresented (≤ 1% at each site). There were significant differences in the frequencies of conditions within most content categories, suggesting that residents experience distinct site-specific clinical content during their inpatient training. CONCLUSIONS:There were substantial differences in the clinical content experienced by our residents across hospital sites, prompting several important programmatic and curricular changes to enrich our residents' hospital-based educational experiences.

Introduction/UNASSIGNED:The combination of hydralazine-isosorbide dinitrate (H-ISDN) has potential as a heart failure (HF) therapy in the setting of maintenance dialysis. Methods/UNASSIGNED:In this retrospective study, we analyzed the efficacy of H-ISDN using United States Renal Data System (USRDS) data. We identified all adult patients with a history of HF on maintenance dialysis between January 1, 2011, and December 31, 2016, with at least 1 prescription for H-ISDN. Baseline characteristics, prescriptions, and outcomes were retrieved from institutional and physician claims. The primary outcome was death from any cause. Additional outcomes included cardiovascular death, sudden cardiac death, hospitalization for HF, an inpatient diagnosis of myocardial infarction (MI), or new-onset atrial fibrillation. Stabilized inverse probability weights were estimated using relevant baseline characteristics and were used in Cox proportional hazards regression. Results/UNASSIGNED:We identified 6306 patients who were treated with H-ISDN and 75,509 patients who did not receive H-ISDN. The crude all-cause mortality rate was lower in patients treated with H-ISDN (16.0 events/100 patient years [PYs]) than in nonusers (27.9/100-PY). H-ISDN use was independently associated with lower mortality: hazard ratio (HR) 0.48 (95% CI 0.43-0.54). Cardiovascular death and sudden cardiac death were less common among H-ISDN users than nonusers, Weighted HR was 0.62 (95% CI 0.53-0.71) and 0.62 (95% CI 0.52-0.73), respectively. In contrast, HF admission and MI were more frequent in patients treated with H-ISDN (195.5 and 18.0 events/100-PY) compared with nonusers (73.4 and 10.2 events/100-PY). Conclusion/UNASSIGNED:H-ISDN therapy may improve cardiovascular outcomes in maintenance dialysis patients with HF.