Surgeon-performed touch preparation of breast core needle biopsies may provide accurate same-day diagnosis and expedite treatment planning.

BACKGROUND: We aimed to determine the accuracy of surgeon-performed touch-preparation cytology (TPC) of breast core-needle biopsies (CNB) and the ability to use TPC results to initiate treatment planning at the same patient visit. METHODS: A single-institution retrospective review of TPC results of ultrasound-guided breast CNB was performed. All TPC slides were prepared by surgeons performing the biopsy and interpreted by the pathologist. TPC results were reported as positive/suspicious, atypical, negative/benign, or deferred; these were compared with final pathology of cores to calculate accuracy. Treatment planning was noted as having taken place if the patient had requisition of advanced imaging, referrals, or surgical planning undertaken during the same visit. RESULTS: Four hundred forty-seven CNB specimens with corresponding TPC were evaluated from 434 patient visits, and 203 samples (45.4 %) were malignant on final pathology. When the deferred, atypical, and benign results were considered negative and positive/suspicious results were considered positive, sensitivity and specificity were 83.7 % (77.9-88.5 %) and 98.4 % (95.9-99.6 %), respectively; positive and negative predictive values were 97.7 % (94.2-99.4 %) and 87.9 % (83.4-91.5 %), respectively. In practice, patients with atypical or deferred results were asked to await final pathology. An accurate same-day diagnosis (TPC positive/suspicious) was hence feasible in 83.7 % (170 of 203) of malignant and 79.5 % (194 of 244) of benign cases (TPC negative). Of patients who had a same-day diagnosis of a new malignancy, 77.3 % had treatment planning initiated at the same visit. CONCLUSIONS: Surgeon-performed TPC of breast CNB is an accurate method of same-day diagnosis that allows treatment planning to be initiated at the same visit and may serve to expedite patient care.

Quantifying care delivery team influences on the hospitalization outcomes of patients with multimorbidity: Implications for clinical informatics.

The primary objective was to quantify the influences of care delivery teams on the outcomes of patients with multimorbidity. Electronic medical record data on 68,883 patient care encounters (i.e., 54,664 patients) were extracted from the Arkansas Clinical Data Repository. Social network analysis assessed the minimum care team size associated with improved care outcomes (i.e., hospitalizations, days between hospitalizations, and cost) of patients with multimorbidity. Binomial logistic regression further assessed the influence of the presence of seven specific clinical roles. When compared to patients without multimorbidity, patients with multimorbidity had a higher mean age (i.e., 47.49 v. 40.61), a higher mean dollar amount of cost per encounter (i.e., $3,068 v. $2,449), a higher number of hospitalizations (i.e., 25 v. 4), and a higher number of clinicians engaged in their care (i.e., 139,391 v. 7,514). Greater network density in care teams (i.e., any combination of two or more Physicians, Residents, Nurse Practitioners, Registered Nurses, or Care Managers) was associated with a 46-98% decreased odds of having a high number of hospitalizations. Greater network density (i.e., any combination of two or more Residents or Registered Nurses) was associated with 11-13% increased odds of having a high cost encounter. Greater network density was not significantly associated with having a high number of days between hospitalizations. Analyzing the social networks of care teams may fuel computational tools that better monitor and visualize real-time hospitalization risk and care cost that are germane to care delivery.

Care delivery team composition effect on hospitalization risk in African Americans with congestive heart failure.

The care delivery team (CDT) is critical to providing care access and equity to patients who are disproportionately impacted by congestive heart failure (CHF). However, the specific clinical roles that are associated with care outcomes are unknown. The objective of this study was to examine the extent to which specific clinical roles within CDTs were associated with care outcomes in African Americans (AA) with CHF. Deidentified electronic medical record data were collected on 5,962 patients, representing 80,921 care encounters with 3,284 clinicians between January 1, 2014 and December 31, 2021. Binomial logistic regression assessed associations of specific clinical roles and the Mann Whitney-U assessed racial differences in outcomes. AAs accounted for only 26% of the study population but generated 48% of total care encounters, the same percentage of care encounters generated by the largest racial group (i.e., Caucasian Americans; 69% of the study population). AAs had a significantly higher number of hospitalizations and readmissions than Caucasian Americans. However, AAs had a significantly higher number of days at home and significantly lower care charges than Caucasian Americans. Among all CHF patients, patients with a Registered Nurse on their CDT were less likely to have a hospitalization (i.e. 30%) and a high number of readmissions (i.e., 31%) during the 7-year study period. When stratified by heart failure phenotype, the most severe patients who had a Registered Nurse on their CDT were 88% less likely to have a hospitalization and 50% less likely to have a high number of readmissions. Similar decreases in the likelihood of hospitalization and readmission were also found in less severe cases of heart failure. Specific clinical roles are associated with CHF care outcomes. Consideration must be given to developing and testing the efficacy of more specialized, empirical models of CDT composition to reduce the disproportionate impact of CHF.

COVID-19 Is Connected with Lower Health Literacy in Rural Areas.

The relationship between social determinants of health (SDoH) and health outcomes is established and extends to a higher risk of contracting COVID-19. Given the factors included in SDoH, such as education level, race, rurality, and socioeconomic status are interconnected, it is unclear how individual SDoH factors may uniquely impact risk. Lower socioeconomic status often occurs in concert with lower educational attainment, for example. Because literacy provides access to information needed to avoid infection and content can be made more accessible, it is essential to determine to what extent health literacy contributes to successful containment of a pandemic. By incorporating this information into clinical data, we have isolated literacy and geographic location as SDoH factors uniquely related to the risk of COVID-19 infection. For patients with comorbidities linked to higher illness severity, residents of rural areas associated with lower health literacy at the zip code level had a greater likelihood of positive COVID-19 results unrelated to their economic status.