Eliminating Explicit and Implicit Biases in Health Care: Evidence and Research Needs.

Health care providers hold negative explicit and implicit biases against marginalized groups of people such as racial and ethnic minoritized populations. These biases permeate the health care system and affect patients via patient-clinician communication, clinical decision making, and institutionalized practices. Addressing bias remains a fundamental professional responsibility of those accountable for the health and wellness of our populations. Current interventions include instruction on the existence and harmful role of bias in perpetuating health disparities, as well as skills training for the management of bias. These interventions can raise awareness of provider bias and engage health care providers in establishing egalitarian goals for care delivery, but these changes are not sustained, and the interventions have not demonstrated change in behavior in the clinical or learning environment. Unfortunately, the efficacy of these interventions may be hampered by health care providers' work and learning environments, which are rife with discriminatory practices that sustain the very biases US health care professions are seeking to diminish. We offer a conceptual model demonstrating that provider-level implicit bias interventions should be accompanied by interventions that systemically change structures inside and outside the health care system if the country is to succeed in influencing biases and reducing health inequities.

Using Wearable Biosensors to Predict Length of Stay for Patients with IBD After Bowel Surgery.

BACKGROUND AND AIMS: It remains unknown whether ambulation or sleep predicts postoperative length of stay for patients with IBD. We aim to identify the utility of wearable biosensors in predicting postoperative length of stay for patients with IBD. METHODS: Associations of postoperative length of stay with step count/sleep duration/sleep efficiency measured by wearable biosensors were examined. The best-fitting multivariable linear regression model predicting length of stay was constructed using stepwise model selection. RESULTS: Final sample included 37 patients. Shorter sleep duration on postoperative day 4 (r = 0.51, p = 0.043) or 5 (r = 0.81, p = 0.0045) or higher sleep efficiency on postoperative day 5 (r = - 0.77, p = 0.0098) was associated with a shorter length of stay. Additionally, a more positive change in sleep efficiency from postoperative day 4-5 was associated with a shorter length of stay (r = - 0.77, p = 0.024). The best-fitting multivariable linear regression model revealed Clavien-Dindo grade 1 (p = 0.045) and interaction between Clavien-Dindo grade 2/3a and mean daily steps (p = 0.00038) are significant predictors of length of stay. The following variables were not significantly associated with length of stay: mean daily steps/sleep duration/sleep efficiency, average rate of change in these three variables, and changes in step count between successive postoperative days 1-5, sleep duration between successive postoperative days 2-5, and sleep efficiency between successive postoperative days 2-4. CONCLUSION: We demonstrated the utility of activity and sleep data from wearable biosensors in predicting length of stay. Patients with more severe complications may benefit more (i.e., reduced postoperative length of stay) from increased ambulation. However, overall, sleep duration/efficiency did not predict length of stay.

Achieving Histologic Normalization in Ulcerative Colitis Is Associated With a Reduced Risk of Subsequent Dysplasia.

BACKGROUND: Complete histologic normalization is associated with improved clinical outcomes in ulcerative colitis (UC). However, it is currently unknown what effect achieving histologic normalization has on the development of dysplasia. METHODS: We performed a retrospective analysis of 495 patients with a confirmed diagnosis of UC from a tertiary center. Patients were categorized according to the best histologic assessment they had during their disease course: histologic normalization, histologic quiescence, or persistent histologic activity. We assessed dysplasia rates in these patient groups after achieving histologic normalization or histologic quiescence, or 8 years after UC diagnosis in those with persistent histologic activity. Kaplan-Meier graphs and Cox regression analyses were performed to estimate this effect. RESULTS: The incidence rate of dysplasia development after achieving histologic normalization was statistically significantly less when compared with the incidence rate after achieving histologic quiescence (P = 0.001) and in those with persistent histologic activity 8 years after UC diagnosis (P = 0.033). In multivariate analysis, at any point throughout UC duration, dysplasia development was statistically lower in those with histologic normalization (adjusted hazard ratio [aHR], 0.32; 95% confidence interval [CI], 0.13-0.81) but not in those with histologic quiescence (aHR, 0.52; 95% CI, 0.25-1.10), compared with those with persistent histologic inflammation. When assessing the time after achieving histologic normalization, histologic quiescence, or 8 years post UC diagnosis in those with persistent histologic activity, we found that patients with histologic normalization had a subsequent decreased risk of developing dysplasia (aHR, 0.09; 95% CI, 0.01-0.72), compared with patients without normalization. CONCLUSIONS: Histologic normalization is associated with a decreased risk in patients with UC of developing subsequent dysplasia, compared with patients without histologic normalization. These findings have implications for surveillance intervals.

Identification of Risk Factors for Coexisting Sinusitis and Inflammatory Bowel Disease.

BACKGROUND: This study aimed to analyze the association of coexisting sinusitis and IBD, establish significant factors involved in their development, and enable further biological correlation between these two diseases. METHODS: The IBD and Sinusitis Study at UChicago Medicine (TISSUe) is a retrospective, single-center study. We reviewed patients to confirm IBD and chronic sinusitis diagnoses. Case-control propensity score matching was performed using matched controls with IBD only or sinusitis only. Statistical methods included Chi-squared test and Wilcoxon rank sum test. Logistic regression analysis was performed, and factors were considered significant if p<0.05. RESULTS: Stratifying 214 patients with coexisting IBD and sinusitis, 176 patients had IBD first and 38 patients had sinusitis first. Multivariable analysis of factors associated with subsequent disease with matched controls determined that duration of disease, UC, steroid exposure ever, and younger age of IBD diagnosis were associated with subsequent sinusitis in patients with IBD; steroid exposure ever and duration of sinusitis were significantly associated with subsequent IBD in patients with sinusitis. CONCLUSIONS: This study suggests that IBD maintenance therapies are not associated with increased risk of sinusitis, as proposed by adverse events in clinical trial data; rather, UC diagnosis and duration of disease may be more influential in sinusitis development. While further studies are necessary, this study also demonstrates that sinusitis precedes IBD in some patients, probing its biological association with IBD and possible classification as an extraintestinal manifestation.

Black Race and Public Insurance Are Predictive of Inappropriate Evaluation of Iron Deficiency Anemia and Diarrhea.

BACKGROUND AND AIMS: Socioeconomic status, race, and insurance can impact healthcare delivery and utilization in several chronic disease states. The primary aim of our study was to determine whether race and insurance status are predictors of having an appropriate workup for celiac disease and inflammatory bowel disease (IBD) when presenting with iron deficiency anemia (IDA) and chronic diarrhea. METHODS: Medical records of patients seen at the University of Chicago Medical Center between January 1, 2006, and September 20, 2017, were reviewed. Patients with two separate encounters within 6 months associated with the diagnosis codes for both IDA and chronic diarrhea were identified. Patients without a diagnosis code for IBD and celiac disease were further grouped as those that had an "appropriate" workup and those that did not. Factors associated with the appropriate evaluation were analyzed by univariate and multivariate logistic regression. RESULTS: In total, 899,701 records were searched. A total of 83 patients fit inclusion into the study (8 IBD, 3 CD, 72 neither IBD or CD). Black race was associated with a 91% decreased odds of having the appropriate workup on univariate (OR 0.090, 95%CI 0.017-0.475, p = 0.005) and age-adjusted multivariate analysis (OR 0.095, 95% CI 0.017-0.527, p = 0.007). Public insurance status was significantly associated with a 90% decreased odds of appropriate workup on univariate (OR 0.102, 95% CI 0.024-0.438, p = 0.002) and age-adjusted multivariate analysis (OR 0.104, 95% CI 0.021-0.513, p = 0.005). CONCLUSIONS: Black race and public insurance were significantly associated with not having an appropriate workup for IBD and celiac disease when presenting with iron deficiency and chronic diarrhea.

Characterizing pediatric inpatient sleep duration and disruptions.

OBJECTIVE: To contextualize inpatient sleep duration and disruptions in a general pediatric hospital ward by comparing in-hospital and at-home sleep durations to recommended guidelines and to objectively measure nighttime room entries. METHODS: Caregivers of patients four weeks - 18 years of age reported patient sleep duration and disruptions in anonymous surveys. Average at-home and in-hospital sleep durations were compared to National Sleep Foundation recommendations. Objective nighttime traffic was evaluated as the average number of room entries between 11:00pm and 7:00am using GOJO brand hand-hygiene room entry data. RESULTS: Among 246 patients, patients slept less in the hospital than at home with newborn and infant cohorts experiencing 7- and 4-h sleep deficits respectively (Newborn: 787 ± 318 min at home vs. 354 ± 211 min in hospital, p < 0.001; Infants: 703 ± 203 min at home vs. 412 ± 152 min in hospital, p < 0.01). Newborn children also experienced >2 h sleep deficits at home when compared to NSF recommendations (Newborns: 787 ± 318 min at home vs. 930 min recommended, p < 0.05). Objective nighttime traffic measures revealed that hospitalized children experienced 7.3 room entries/night (7.3 ± 0.25 entries). Nighttime traffic was significantly correlated with caregiver-reported nighttime awakenings (Spearman Rank Correlation Coefficient: 0.83, p < 0.001). CONCLUSION: Hospitalization is a missed opportunity to improve sleep both in the hospital and at home.

Caregiver and Staff Perceptions of Disruptions to Pediatric Inpatient Sleep.

STUDY OBJECTIVES: Sleep is critical to a child's health and well-being, but children are likely to sleep less and be awakened more often during the night in the hospital than at home. To date no studies have compared caregiver, nurse, and physician perspectives of nighttime sleep disruptions in the pediatric general medicine setting. Our aim was to assess caregiver, nurse, and physician perspectives on the most frequent in-hospital disruptors of sleep for pediatric patients. Additionally, we evaluated the degree of agreement of those opinions between the caregivers and medical team. METHODS: Caregivers, nurses, and physicians were surveyed using the Potential Hospital Sleep Disruption and Noises Questionnaire (PHSDNQ) regarding their opinions on factors that disrupt sleep. Caregiver responses were collected via a convenience sample of patients hospitalized from February to August 2017 and hospital staff was surveyed once regarding overall perception. The perceived percentage of patients disrupted by each factor was calculated and compared among groups using chi-square tests. Using caregiver rank order based on mean response as the reference gold standard, the absolute differences of nurse and physician rank orders were summed and analyzed using a two-sample test of proportion. In addition, staff was asked knowledge and empowerment questions about how to maximize patient sleep in the hospital and responses were compared using chi-square tests. RESULTS: A total of 162 caregivers, 77 nurses (84% response rate), and 81 physicians (90% response rate) completed surveys. Checking vital signs (50%), nurse/physician interruption (49%), and continuous pulse oximetry (38%) were the three most prevalent disruptors of pediatric inpatient sleep as reported by caregivers. Significant differences were observed between caregiver, nurse, and physician responses for pain, anxiety, alarms, noise, and tests (P ≤ .001 for all). Both nurse and physician rank orders were discordant when compared to caregivers; there was no significant difference between the two staff groups. When compared to physicians, nurses reported doing more to help children sleep in the hospital (33% versus 94%, P < .001). CONCLUSIONS: Although caregivers report medical interventions such as checking vital signs, nurse/physician interruption, and continuous pulse oximetry as the most frequent disruptors of inpatient pediatric sleep, pediatric staff has poor insight into these disruptions.