INTRODUCTION:activity tracker device usage can help analyze the impact of disease state and therapy on patients in clinical practice.  factors such as age, race, and gender may contribute to difficulties with using such technology.  Objective: we evaluated the effect of age, race, and gender on the usability of the Fitbit OneTM activity tracking device in sarcoidosis patients and the impact of device on sarcoidosis patients' activity. METHOD:patients participated in a six-month prospective study where were asked to wear a Fitbit OneTM activity tracker daily. device usage education was provided at study enrollment.  weekly data download and submission reports to participating centers was required. patients were asked to complete a post-study questionnaire reviewing the motivation of the activity tracker on daily activity. RESULTS:at three centers, 91 patients completed all study visits and the post study questionnaire with a mean age of 55 and 75% were female and 34% african american. accurate downloads occurred >75% of the time, regardless of age, race, or sex. results of the post-study questionnaire did not show a correlation between the likelihood of wearing the device and motivation to increase activity. CONCLUSION:using an activity tracking device to evaluate and/or correlated with quality of life (QOL) instruments may prove beneficial for gathering more data on patients.  age, race, and gender did not contribute to differences in usability among sarcoidosis patients.

Machine learning-based clinical decision support tools for sepsis create opportunities to identify at-risk patients and initiate treatments earlier, an important step in improving sepsis outcomes. Increasing use of such systems means quantifying and understanding provider adoption is critical. Using real-time provider interactions with a sepsis early detection tool (Targeted Real-time Early Warning System) deployed at five hospitals over a two-year period (469,419 screened patient encounters, 9,805 (2.1%) of which were retrospectively identified as having sepsis), we found high adoption rates (89% of alerts were evaluated by a physician or advanced practice provider) and an association between use of the tool and earlier treatment of sepsis patients (1.85 (95% CI: 1.66 - 2.00) hour reduction in median time to first antibiotics order). Further, we found that provider-related factors had the strongest association with alert adoption and that case complexity and atypical presentation were associated with dismissal of alerts on sepsis patients. Beyond improving the performance of the system, efforts to improve adoption should focus on provider knowledge, experience, and perceptions of the system.

In the context of the COVID-19 pandemic, reassessing intensive care unit (ICU) use by population should be a priority for hospitals planning for critical care resource allocation. In our study, we reviewed the impact of COVID-19 on a community hospital serving an urban region, comparing the sociodemographic distribution of ICU admissions before and during the pandemic. We executed a time-sensitive analysis to see if COVID-19 ICU admissions reflect the regional sociodemographic populations and ICU admission trends before the pandemic. Sociodemographic variables included sex, race, ethnicity, and age of adult patients (ages 18 years and older) admitted to the hospital's medical and cardiac ICUs, which were converted to COVID-19 ICUs. The time period selected was 18 months, which was then dichotomized into pre-COVID-19 admissions (December 1, 2018 to March 13, 2020) and COVID-19 ICU admissions (March 14 to May 31, 2020). Variables were compared using Fisher's exact tests and Wilcoxon tests when appropriate. During the 18-month period, 1,861 patients were admitted to the aforementioned ICUs. The mean age of the patients was 62.75 (SD 15.57), with the majority of these patients being male (52.23%), White (64.43%), and non-Hispanic/Latinx (95.75%). Differences were found in racial and ethnic distribution comparing pre-COVID-19 admissions to COVID-19 admissions. Compared with pre-COVID-19 ICU admissions, we found an increase in African American versus White admissions (P = .01) and an increase in Hispanic/Latinx versus non-Hispanic/Latinx admissions (P < .01), during the COVID-19 pandemic. During the first 3 months of admissions to COVID-19 ICUs, the number of admissions among Hispanic/Latinx and African American patients increased while the number of admissions among non-Hispanic/Latinx and White patient decreased, compared with the pre-COVID-19 period. These findings support development of strategies to enhance allocation of resources to bolster novel, equitable strategies to mitigate the incidence of COVID-19 in urban populations.

Background: Several months into the COVID-19 pandemic, reassessing intensive care unit (ICU) utilization, specifically with regional impact on diverse populations, should be a priority for hospitals planning for critical care resource allocation. In our study, we reviewed the impact of COVID-19 on a community hospital serving an urban region, comparing the sociodemographic distribution of ICU admissions before and during the pandemic. Methods: We executed a time sensitive analysis to see if COVID-19 ICU admissions reflect regional sociodemographic populations as well as ICU admission trends prior to the current pandemic. Collected sociodemographic variables included sex, race, ethnicity, and age of adult patients (age 18 and older) admitted to the hospital’s medical and cardiac ICUs, which were converted to COVID-19 ICUs. The time period selected was 18-months, which was then dichotomized into pre-COVID-19 admissions (December 1, 2018 to March 13, 2020) and COVID-19 ICU admissions (March 14, 2020 to May 31, 2020). Variables were compared using Fisher’s exact tests and Wilcoxon tests when appropriate. Results: During the 18-month period, 1861 patients were admitted to the aforementioned ICUs. The mean age of the 1861 patients was 62.75 + 15.57 years old, with the majority of these patients being male (52.23%), White (64.43%), and non-Hispanic/Latinx (95.75%). There were differences in racial and ethnic distribution comparing pre-COVID-19 admissions to the COVID-19 admissions. Compared to pre-COVID-19 ICU admissions, there was an increase in African American versus White admissions (p=0.01) and an increase in Hispanic/Latinx versus non-Hispanic/Latinx admissions (p<0.01), during the COVID-19 pandemic. Discussion: During the first three months of admissions to COVID-19 ICUs, there was a rise in admissions among Hispanic/Latinx and African-American patients, while non-Hispanic/Latinx and White patient admissions declined compared to the previous pre-COVID year. These findings support development of strategies to enhance allocation of resources to bolster novel, equitable strategies to mitigate the incidence of COVID-19 in minority populations.

Objectives: To evaluate associations between a readily availvable composite measurement of neighborhood socioeconomic disadvantage (the area deprivation index) and 30-day readmissions for patients who were previously hospitalized with sepsis. Design: A retrospective study. Setting: An urban, academic medical institution. Patients: The authors conducted a manual audit for adult patients (18 yr old or older) discharged with an International Classification of Diseases, 10th edition code of sepsis during the 2017 fiscal year to confirm that they met SEP-3 criteria. Interventions: None. Measurements and Main Results: The area deprivation index is a publicly available composite score constructed from socioeconomic components (e.g., income, poverty, education, housing characteristics) based on census block level, where higher scores are associated with more disadvantaged areas (range, 1–100). Using discharge data from the hospital population health database, residential addresses were geocoded and linked to their respective area deprivation index. Patient characteristics, contextual-level variables, and readmissions were compared by t tests for continuous variables and Fisher exact test for categorical variables. The associations between readmissions and area deprivation index were explored using logistic regression models. A total of 647 patients had an International Classification of Diseases, 10th edition diagnosis code of sepsis. Of these 647, 116 (17.9%) either died in hospital or were discharged to hospice and were excluded from our analysis. Of the remaining 531 patients, the mean age was 61.0 years (± 17.6 yr), 281 were females (52.9%), and 164 (30.9%) were active smokers. The mean length of stay was 6.9 days (± 5.6 d) with the mean Sequential Organ Failure Assessment score 4.9 (± 2.5). The mean area deprivation index was 54.2 (± 23.8). The mean area deprivation index of patients who were readmitted was 62.5 (± 27.4), which was significantly larger than the area deprivation index of patients not readmitted (51.8 [± 22.2]) (p < 0.001). In adjusted logistic regression models, a greater area deprivation index was significantly associated with readmissions (β, 0.03; p < 0.001). Conclusions: Patients who reside in more disadvantaged neighborhoods have a significantly higher risk for 30-day readmission following a hospitalization for sepsis. The insight provided by neighborhood disadvantage scores, such as the area deprivation index, may help to better understand how contextual-level socioeconomic status affects the burden of sepsis-related morbidity.

Purpose: Community factors may play a role in determining individual risk for sepsis, as well as sepsis-related morbidity and mortality. We sought to define the relationship between community socioeconomic status and mortality due to sepsis in an urban locale. Methods: Using community statistical areas of Baltimore City, we dichotomized neighborhoods at median household income, and compared distribution of outcomes of interest within the two income categories. We performed multivariable regression analyses to determine the relationship between socioeconomic variables and sepsis-attributable mortality. Results: The collective median household income was $38,660 (IQR $32,530, 54,480), family poverty rate was 28.4% (IQR 13.5, 38.8%), and rate of death from sepsis was 3.1 per 10,000 persons (IQR 2.60, 4.10). Lower household income communities demonstrated higher rates of death from sepsis (3.65 (IQR 2.78, 4.40)) than higher household income communities (2.80 (IQR 2.05, 3.55)) (p=.02). In regression models, household income (beta=-8.42, p=.006) and percentage of poverty in communities (beta=2.71, p=.01) demonstrated associations with sepsis-attributable mortality. Discussion: Our findings suggest that socioeconomic variables play significant role in sepsis-attributable mortality. Such confirmation of regional disparities in mortality due to sepsis warrants further consideration, as well as integration, for future national sepsis policies. Published by Elsevier Inc.