Two Weeks Versus One Week of Maximal Patient-Intensivist Continuity for Adult Medical Intensive Care Patients: A Two-Center Target Trial Emulation.

OBJECTIVES: To compare outcomes for 2 weeks vs. 1 week of maximal patient-intensivist continuity in the ICU. DESIGN: Retrospective cohort study. SETTING: Two U.S. urban, teaching, medical ICUs where intensivists were scheduled for 2-week service blocks: site A was in the Midwest and site B was in the Northeast. PATIENTS: Patients 18 years old or older admitted to a study ICU between March 1, 2017, and February 28, 2020. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We applied target trial emulation to compare admission during an intensivist's first week (as a proxy for 2 wk of maximal continuity) vs. admission during their second week (as a proxy for 1 wk of maximal continuity). Outcomes included hospital mortality, ICU length of stay, and, for mechanically ventilated patients, duration of ventilation. Exploratory outcomes included imaging, echocardiogram, and consultation orders. We used inverse probability weighting to adjust for baseline differences and random-effects meta-analysis to calculate overall effect estimates. Among 2571 patients, 1254 were admitted during an intensivist's first week and 1317 were admitted during a second week. At sites A and B, hospital mortality rates were 25.8% and 24.2%, median ICU length of stay were 4 and 2 days, and median mechanical ventilation durations were 3 and 3 days, respectively. There were no differences in adjusted mortality (odds ratio [OR], 1.01 [95% CI, 0.96-1.06]) or ICU length of stay (-0.25 d [-0.82 d to +0.32 d]) for 2 weeks vs. 1 week of maximal continuity. Among mechanically ventilated patients, there were no differences in adjusted mortality (OR, 1.00 [0.87-1.16]), ICU length of stay (+0.06 d [-0.78 d to +0.91 d]), or duration of mechanical ventilation (+0.37 d [-0.46 d to +1.21 d]) for 2 weeks vs. 1 week of maximal continuity. CONCLUSIONS: Two weeks of maximal patient-intensivist continuity was not associated with differences in clinical outcomes compared with 1 week in two medical ICUs.

Understanding How Clinicians Personalize Fluid and Vasopressor Decisions in Early Sepsis Management.

Importance: Recent sepsis trials suggest that fluid-liberal vs fluid-restrictive resuscitation has similar outcomes. These trials used generalized approaches to resuscitation, and little is known about how clinicians personalize fluid and vasopressor administration in practice. Objective: To understand how clinicians personalize decisions about resuscitation in practice. Design, Setting, and Participants: This survey study of US clinicians in the Society of Critical Care Medicine membership roster was conducted from November 2022 to January 2023. Surveys contained 10 vignettes of patients with sepsis where pertinent clinical factors (eg, fluid received and volume status) were randomized. Respondents selected the next steps in management. Data analysis was conducted from February to September 2023. Exposure: Online Qualtrics clinical vignette survey. Main Outcomes and Measures: Using multivariable logistic regression, the associations of clinical factors with decisions about fluid administration, vasopressor initiation, and vasopressor route were tested. Results are presented as adjusted proportions with 95% CIs. Results: Among 11 203 invited clinicians, 550 (4.9%; 261 men [47.5%] and 192 women [34.9%]; 173 with >15 years of practice [31.5%]) completed at least 1 vignette and were included. A majority were physicians (337 respondents [61.3%]) and critical care trained (369 respondents [67.1%]). Fluid volume already received by a patient was associated with resuscitation decisions. After 1 L of fluid, an adjusted 82.5% (95% CI, 80.2%-84.8%) of respondents prescribed additional fluid and an adjusted 55.0% (95% CI, 51.9%-58.1%) initiated vasopressors. After 5 L of fluid, an adjusted 17.5% (95% CI, 15.1%-19.9%) of respondents prescribed more fluid while an adjusted 92.7% (95% CI, 91.1%-94.3%) initiated vasopressors. More respondents prescribed fluid when the patient examination found dry vs wet (ie, overloaded) volume status (adjusted proportion, 66.9% [95% CI, 62.5%-71.2%] vs adjusted proportion, 26.5% [95% CI, 22.3%-30.6%]). Medical history, respiratory status, lactate trend, and acute kidney injury had small associations with fluid and vasopressor decisions. In 1023 of 1127 vignettes (90.8%) where the patient did not have central access, respondents were willing to start vasopressors through a peripheral intravenous catheter. In cases where patients were already receiving peripheral norepinephrine, respondents were more likely to place a central line at higher norepinephrine doses of 0.5 µg/kg/min (adjusted proportion, 78.0%; 95% CI, 74.7%-81.2%) vs 0.08 µg/kg/min (adjusted proportion, 25.2%; 95% CI, 21.8%-28.5%) and after 24 hours (adjusted proportion, 59.5%; 95% CI, 56.6%-62.5%) vs 8 hours (adjusted proportion, 47.1%; 95% CI, 44.0%-50.1%). Conclusions and Relevance: These findings suggest that fluid volume received is the predominant factor associated with ongoing fluid and vasopressor decisions, outweighing many other clinical factors. Peripheral vasopressor use is common. Future studies aimed at personalizing resuscitation must account for fluid volumes and should incorporate specific tools to help clinicians personalize resuscitation.

Diagnosis and Management of Acute Respiratory Failure.

Acute hypoxemic respiratory failure is defined by Pao2 less than 60 mm Hg or SaO2 less than 88% and may result from V/Q mismatch, shunt, hypoventilation, diffusion limitation, or low inspired oxygen tension. Acute hypercapnic respiratory failure is defined by Paco2 ≥ 45 mm Hg and pH less than 7.35 and may result from alveolar hypoventilation, increased fraction of dead space, or increased production of carbon dioxide. Early diagnostic maneuvers, such as measurement of SpO2 and arterial blood gas, can differentiate the type of respiratory failure and guide next steps in evaluation and management.

Addressing the Nursing Workforce Crisis Through Nurse-Physician Collaboration.

This Viewpoint explores root causes of the nurse staffing shortages in the US and proposes solutions that involve physicians.

Ethnic Disparities in Deep Sedation of Patients with Acute Respiratory Distress Syndrome in the United States: Secondary Analysis of a Multicenter Randomized Trial.

Rationale: Patients identified as Hispanic, the largest minority group in the United States, are more likely to die from acute respiratory distress syndrome (ARDS) than non-Hispanic patients. Mechanisms to explain this disparity remain unidentified. However, Hispanic patients may be at risk of overexposure to deep sedation because of language differences between patients and clinicians, and deep sedation is associated with higher ARDS mortality.Objective: We examined associations between Hispanic ethnicity and exposure to deep sedation among patients with ARDS.Methods: A secondary analysis was conducted of patients enrolled in the control arm of a randomized trial of neuromuscular blockade for ARDS across 48 U.S. hospitals. Exposure to deep sedation was measured over the first 5 days that a patient was alive and received mechanical ventilation. Multilevel mixed-effects models were used to evaluate associations between Hispanic ethnicity and exposure to deep sedation, controlling for patient characteristics.Results: Patients identified as Hispanic had approximately five times the odds of deep sedation (odds ratio, 4.98; 95% confidence interval, 2.02-12.28; P < 0.0001) on a given day, compared with non-Hispanic White patients. Hospitals with at least one enrolled Hispanic patient kept all enrolled patients deeply sedated longer than hospitals without any enrolled Hispanic patients (85.8% of ventilator-days vs. 65.5%; P < 0.001).Conclusions: Hispanic patients are at higher risk of exposure to deep sedation than non-Hispanic White patients. There is an urgent need to understand and address disparities in sedation delivery.

Rural-Urban Differences in Mortality among Mechanically Ventilated Patients in Intensive and Intermediate Care.

Rationale: Intermediate care (also termed "step-down" or "moderate care") has been proposed as a lower cost alternative to care for patients who may not clearly benefit from intensive care unit admission. Intermediate care units may be appealing to hospitals in financial crisis, including those in rural areas. Outcomes of patients receiving intermediate care are not widely described. Objectives: To examine relationships among rurality, location of care, and mortality for mechanically ventilated patients. Methods: Medicare beneficiaries aged 65 years and older who received invasive mechanical ventilation between 2010 and 2019 were included. Multivariable logistic regression was used to estimate the association between admission to a rural or an urban hospital and 30-day mortality, with separate analyses for patients in general, intermediate, and intensive care. Models were adjusted for age, sex, area deprivation index, primary diagnosis, severity of illness, year, comorbidities, and hospital volume. Results: There were 2,752,492 hospitalizations for patients receiving mechanical ventilation from 2010 to 2019, and 193,745 patients (7.0%) were in rural hospitals. The proportion of patients in rural intermediate care increased from 4.1% in 2010 to 6.3% in 2019. Patient admissions to urban hospitals remained relatively stable. Patients in rural and urban intensive care units had similar adjusted 30-day mortality, at 46.7% (adjusted absolute risk difference -0.1% [95% confidence interval, -0.7% to 0.6%]; P = 0.88). However, adjusted 30-day mortality for patients in rural intermediate care was significantly higher (36.9%) than for patients in urban intermediate care (31.3%) (adjusted absolute risk difference 5.6% [95% confidence interval, 3.7% to 7.6%]; P < 0.001). Conclusions: Hospitalization in rural intermediate care was associated with increased mortality. There is a need to better understand how intermediate care is used across hospitals and to carefully evaluate the types of patients admitted to intermediate care units.

Early Deep Sedation Practices Worsened During the Pandemic Among Adult Patients Without COVID-19: A Retrospective Cohort Study.

BACKGROUND: There is substantial evidence that patients with COVID-19 were treated with sustained deep sedation during the pandemic. However, it is unknown whether such guideline-discordant care had spillover effects to patients without COVID-19. RESEARCH QUESTION: Did patterns of early deep sedation change during the pandemic for patients on mechanical ventilation without COVID-19? STUDY DESIGN AND METHODS: We used electronic health record data from 4,237 patients who were intubated without COVID-19. We compared sedation practices in the first 48 h after intubation across prepandemic (February 1, 2018, to January 31, 2020), pandemic (April 1, 2020, to March 31, 2021), and late pandemic (April 1, 2021, to March 31, 2022) periods. RESULTS: In the prepandemic period, patients spent an average of 13.0 h deeply sedated in the first 48 h after intubation. This increased 1.9 h (95% CI, 1.0-2.8) during the pandemic period and 2.9 h (95% CI, 2.0-3.8) in the late pandemic period. The proportion of patients that spent over one-half of the first 48 h deeply sedated was 18.9% in the prepandemic period, 22.3% during the pandemic period, and 25.9% during the late pandemic period. Ventilator-free days decreased during the pandemic, with a subdistribution hazard ratio of being alive without mechanical ventilation at 28 days of 0.87 (95% CI, 0.79-0.95) compared with the prepandemic period. Tracheostomy placement increased during the pandemic period compared with the prepandemic period (OR, 1.41; 95% CI, 1.08-1.82). In the medical ICU, early deep sedation increased 2.5 h (95% CI, 0.6-4.4) during the pandemic period and 4.9 h (95% CI, 3.0-6.9) during the late pandemic period, compared with the prepandemic period. INTERPRETATION: Among patients on mechanical ventilation without COVID-19, sedation use increased during the pandemic. In the subsequent year, these practices did not return to prepandemic standards.

Higher versus lower oxygenation targets in adult ICU patients: A rapid practice guideline.

The aim of this Intensive Care Medicine Rapid Practice Guideline (ICM-RPG) was to provide evidence-based clinical guidance about the use of higher versus lower oxygenation targets for adult patients in the intensive care unit (ICU). The guideline panel comprised 27 international panelists, including content experts, ICU clinicians, methodologists, and patient representatives. We adhered to the methodology for trustworthy clinical practice guidelines, including the use of the Grading of Recommendations Assessment, Development, and Evaluation approach to assess the certainty of evidence, and used the Evidence-to-Decision framework to generate recommendations. A recently published updated systematic review and meta-analysis constituted the evidence base. Through teleconferences and web-based discussions, the panel provided input on the balance and magnitude of the desirable and undesirable effects, the certainty of evidence, patients' values and preferences, costs and resources, equity, feasibility, acceptability, and research priorities. The updated systematic review and meta-analysis included data from 17 randomized clinical trials with 10,248 participants. There was little to no difference between the use of higher versus lower oxygenation targets for all outcomes with available data, including all-cause mortality, serious adverse events, stroke, functional outcomes, cognition, and health-related quality of life (very low certainty of evidence). The panel felt that values and preferences, costs and resources, and equity favored the use of lower oxygenation targets. The ICM-RPG panel issued one conditional recommendation against the use of higher oxygenation targets: "We suggest against the routine use of higher oxygenation targets in adult ICU patients (conditional recommendation, very low certainty of evidence). Remark: an oxygenation target of SpO2 88%-92% or PaO2 8 kPa/60 mmHg is relevant and safe for most adult ICU patients."

Measuring the Impact of AI in the Diagnosis of Hospitalized Patients: A Randomized Clinical Vignette Survey Study.

Importance: Artificial intelligence (AI) could support clinicians when diagnosing hospitalized patients; however, systematic bias in AI models could worsen clinician diagnostic accuracy. Recent regulatory guidance has called for AI models to include explanations to mitigate errors made by models, but the effectiveness of this strategy has not been established. Objectives: To evaluate the impact of systematically biased AI on clinician diagnostic accuracy and to determine if image-based AI model explanations can mitigate model errors. Design, Setting, and Participants: Randomized clinical vignette survey study administered between April 2022 and January 2023 across 13 US states involving hospitalist physicians, nurse practitioners, and physician assistants. Interventions: Clinicians were shown 9 clinical vignettes of patients hospitalized with acute respiratory failure, including their presenting symptoms, physical examination, laboratory results, and chest radiographs. Clinicians were then asked to determine the likelihood of pneumonia, heart failure, or chronic obstructive pulmonary disease as the underlying cause(s) of each patient's acute respiratory failure. To establish baseline diagnostic accuracy, clinicians were shown 2 vignettes without AI model input. Clinicians were then randomized to see 6 vignettes with AI model input with or without AI model explanations. Among these 6 vignettes, 3 vignettes included standard-model predictions, and 3 vignettes included systematically biased model predictions. Main Outcomes and Measures: Clinician diagnostic accuracy for pneumonia, heart failure, and chronic obstructive pulmonary disease. Results: Median participant age was 34 years (IQR, 31-39) and 241 (57.7%) were female. Four hundred fifty-seven clinicians were randomized and completed at least 1 vignette, with 231 randomized to AI model predictions without explanations, and 226 randomized to AI model predictions with explanations. Clinicians' baseline diagnostic accuracy was 73.0% (95% CI, 68.3% to 77.8%) for the 3 diagnoses. When shown a standard AI model without explanations, clinician accuracy increased over baseline by 2.9 percentage points (95% CI, 0.5 to 5.2) and by 4.4 percentage points (95% CI, 2.0 to 6.9) when clinicians were also shown AI model explanations. Systematically biased AI model predictions decreased clinician accuracy by 11.3 percentage points (95% CI, 7.2 to 15.5) compared with baseline and providing biased AI model predictions with explanations decreased clinician accuracy by 9.1 percentage points (95% CI, 4.9 to 13.2) compared with baseline, representing a nonsignificant improvement of 2.3 percentage points (95% CI, -2.7 to 7.2) compared with the systematically biased AI model. Conclusions and Relevance: Although standard AI models improve diagnostic accuracy, systematically biased AI models reduced diagnostic accuracy, and commonly used image-based AI model explanations did not mitigate this harmful effect. Trial Registration: ClinicalTrials.gov Identifier: NCT06098950.

Palliative Care in Survivors of Critical Illness: A Qualitative Study of Post-Intensive Care Unit Program Clinicians.

Background: Survivors of critical illness experience high rates of serious health-related suffering. The delivery of palliative care may assist in decreasing this burden for survivors and their families. Objectives: To understand beliefs, attitudes, and experiences of post-intensive care unit (ICU) program clinicians regarding palliative care and explore barriers and facilitators to incorporating palliative care into critical illness survivorship care. Design: Qualitative inquiry using semistructured interviews and framework analysis. Results were mapped using the Consolidated Framework for Implementation Research. Setting/Subjects: We interviewed 29 international members (United States, United Kingdom, Canada) of the Critical and Acute Illness Recovery Organization post-ICU clinic collaborative. Results: All interprofessional clinicians described components of palliative care as essential to post-ICU clinic practice, including symptom management, patient/family support, facilitation of goal-concordant care, expectation management and anticipatory guidance, spiritual support, and discussion of future health care wishes and advance care planning. Facilitators promoting palliative care strategies were clinician level, including first-hand experience, perceived value, and a positive attitude regarding palliative care. Clinician-level barriers were reciprocals and included insufficient palliative care knowledge, lack of self-efficacy, and a perceived need to protect ICU survivors from interventions the clinician felt may adversely affect recovery or change the care trajectory. System-level barriers included time constraints, cost, and lack of specialty palliative care services. Conclusion: Palliative care may be an essential element of post-ICU clinic care. Implementation efforts focused on tailoring strategies to improve post-ICU program clinicians' palliative care knowledge and self-efficacy could be a key to enhanced care delivery for survivors of critical illness.

Clinical Implications of Removing Race-Corrected Pulmonary Function Tests for African American Patients Requiring Surgery for Lung Cancer.

Importance: Removal of race correction in pulmonary function tests (PFTs) is a priority, given that race correction inappropriately conflates race, a social construct, with biological differences and falsely assumes worse lung function in African American than White individuals. However, the impact of decorrecting PFTs for African American patients with lung cancer is unknown. Objectives: To identify how many hospitals providing lung cancer surgery use race correction, examine the association of race correction with predicted lung function, and test the effect of decorrection on surgeons' treatment recommendations. Design, Setting, and Participants: In this quality improvement study, hospitals participating in a statewide quality collaborative were contacted to determine use of race correction in PFTs. For hospitals performing race correction, percent predicted preoperative and postoperative forced expiratory volume in 1 second (FEV1) was calculated for African American patients who underwent lung cancer resection between January 1, 2015, and September 31, 2022, using race-corrected and race-neutral equations. US cardiothoracic surgeons were then randomized to receive 1 clinical vignette that differed by the use of Global Lung Function Initiative equations for (1) African American patients (percent predicted postoperative FEV1, 49%), (2) other race or multiracial patients (percent predicted postoperative FEV1, 45%), and (3) race-neutral patients (percent predicted postoperative FEV1, 42%). Main Outcomes and Measures: Number of hospitals using race correction in PFTs, change in preoperative and postoperative FEV1 estimates based on race-neutral or race-corrected equations, and surgeon treatment recommendations for clinical vignettes. Results: A total of 515 African American patients (308 [59.8%] female; mean [SD] age, 66.2 [9.4] years) were included in the study. Fifteen of the 16 hospitals (93.8%) performing lung cancer resection for African American patients during the study period reported using race correction, which corresponds to 473 African American patients (91.8%) having race-corrected PFTs. Among these patients, the percent predicted preoperative FEV1 and postoperative FEV1 would have decreased by 9.2% (95% CI, -9.0% to -9.5%; P < .001) and 7.6% (95% CI, -7.3% to -7.9%; P < .001), respectively, if race-neutral equations had been used. A total of 225 surgeons (194 male [87.8%]; mean [SD] time in practice, 19.4 [11.3] years) were successfully randomized and completed the vignette items regarding risk perception and treatment outcomes (76% completion rate). Surgeons randomized to the vignette with African American race-corrected PFTs were more likely to recommend lobectomy (79.2%; 95% CI, 69.8%-88.5%) compared with surgeons randomized to the other race or multiracial-corrected (61.7%; 95% CI, 51.1%-72.3%; P = .02) or race-neutral PFTs (52.8%; 95% CI, 41.2%-64.3%; P = .001). Conclusions and Relevance: Given the findings of this quality improvement study, surgeons should be aware of changes in PFT testing because removal of race correction PFTs may change surgeons' treatment decisions and potentially worsen existing disparities in receipt of lung cancer surgery among African American patients.

Disparities among patients with respiratory failure.

PURPOSE OF REVIEW: Disparities are common within healthcare, and critical illness is no exception. This review summarizes recent literature on health disparities within respiratory failure, focusing on race, ethnicity, socioeconomic status, and sex. RECENT FINDINGS: Current evidence indicates that Black patients have higher incidence of respiratory failure, while the relationships among race, ethnicity, and mortality remains unclear. There has been renewed interest in medical device bias, specifically pulse oximetry, for which data demonstrate patients with darker skin tones may be at risk for undetected hypoxemia and worse outcomes. Lower socioeconomic status is associated with higher mortality, and respiratory failure can potentiate socioeconomic inequities via illness-related financial toxicity. Literature on sex-based disparities is limited; however, evidence suggests males receive more invasive care, including mechanical ventilation. SUMMARY: Most studies focused on disparities in incidence and mortality associated with respiratory failure, but few relied on granular clinical data of patients from diverse backgrounds. Future studies should evaluate processes of care for respiratory failure that may mechanistically contribute to disparities in order to develop interventions that improve outcomes.

Identification of Patient Safety Threats in a Post-Intensive Care Clinic.

The extent to which postintensive care unit (ICU) clinics may improve patient safety for those discharged after receiving intensive care remains unclear. This observational cohort study conducted at an academic, tertiary care medical center used qualitative survey data analyzed via conventional content analysis to describe patient safety threats encountered in the post-ICU clinic. For 83 included patients, safety threats were identified for 60 patients resulting in 96 separate safety threats. These were categorized into 7 themes: medication errors (27%); inadequate medical follow-up (25%); inadequate patient support (16%); high-risk behaviors (5%); medical complications (5%); equipment/supplies failures (4%); and other (18%). Of the 96 safety threats, 41% were preventable, 27% ameliorable, and 32% were neither preventable nor ameliorable. Nearly 3 out of 4 patients within a post-ICU clinic had an identifiable safety threat. Medication errors and delayed medical follow-up were the most common safety threats identified; most were either preventable or ameliorable.

Hospital factors that influence ICU admission decision-making: a qualitative study of eight hospitals.

PURPOSE: Some hospitals in the United States (US) use intensive care 20 times more than others. Since intensive care is lifesaving for some but potentially harmful for others, there is a need to understand factors that influence how intensive care unit (ICU) admission decisions are made. METHODS: A qualitative analysis of eight US hospitals was conducted with semi-structured, one-on-one interviews supplemented by site visits and clinical observations. RESULTS: A total of 87 participants (24 nurses, 52 physicians, and 11 other staff) were interviewed, and 40 h were spent observing ICU operations across the eight hospitals. Four hospital-level factors were identified that influenced ICU admission decision-making. First, availability of intermediate care led to reallocation of patients who might otherwise be sent to an ICU. Second, participants stressed the importance of ICU nurse availability as a key modifier of ICU capacity. Patients cared for by experienced general care physicians and nurses were less likely to receive ICU care. Third, smaller or rural hospitals opted for longer emergency department patient-stays over ICU admission to expedite interhospital transfer of critically ill patients. Fourth, lack of clarity in ICU admission policies led clinicians to feel pressured to use ICU care for patients who might otherwise not have received it. CONCLUSION: Health care systems should evaluate their use of ICU care and establish institutional patterns that ensure ICU admission decisions are patient-centered but also account for resources and constraints particular to each hospital.

Factors Affecting Psychological Distress in Family Caregivers of Critically Ill Patients: A Qualitative Study.

BACKGROUND: Family caregivers often experience psychological distress during a critical care hospitalization, potentially compromising their ability to function effectively in a supportive role. A better understanding of the sources of family caregiver distress is needed to inform strategies to mitigate its development and impact. OBJECTIVE: To explore sources of family caregiver psychological distress during a critical care hospitalization and how caregivers' experiences may differ by their anxiety level. METHODS: Forty adult family members of patients receiving mechanical ventilation for more than 72 hours in 2 intensive care units at an academic medical center were interviewed. A qualitative directed content analysis was done. Experiences were compared by anxiety level group, defined using the Hospital Anxiety and Depression Scale: anxiety (n = 15), borderline anxiety (n = 11), and low anxiety (n=14). RESULTS: Most family members (32%) were adult children; no major demographic differences were noted across anxiety groups. Among caregivers in the anxiety group, salient factors included early unknowns around critical illness, health care team processes, care decisions made, financial and housing concerns, family dysfunction, and new responsibilities. In general, low-anxiety family caregivers did not express their concerns using language of distress but rather expressed emotion and disappointment and often took action to process their concerns. CONCLUSIONS: Factors influencing family caregiver distress during the critical care stay were wide-ranging and varied by level of anxiety. The findings highlight several key areas and potential interventions to reduce psychological distress, especially among caregivers with anxiety.

Origins of Racial and Ethnic Bias in Pulmonary Technologies.

Understanding how biases originate in medical technologies and developing safeguards to identify, mitigate, and remove their harms are essential to ensuring equal performance in all individuals. Drawing upon examples from pulmonary medicine, this article describes how bias can be introduced in the physical aspects of the technology design, via unrepresentative data, or by conflation of biological with social determinants of health. It then can be perpetuated by inadequate evaluation and regulatory standards. Research demonstrates that pulse oximeters perform differently depending on patient race and ethnicity. Pulmonary function testing and algorithms used to predict healthcare needs are two additional examples of medical technologies with racial and ethnic biases that may perpetuate health disparities.

Temporal Trends and Variation in Bronchoscopy Use for Acute Respiratory Failure in the United States.

BACKGROUND: National data on bronchoscopy for the evaluation of acute respiratory failure are lacking, and the limited available data suggest wide variation in use. RESEARCH QUESTION: How commonly is bronchoscopy performed among hospitalizations with acute respiratory failure? How has use changed over time and across hospitals? STUDY DESIGN AND METHODS: This was an observational cohort study of adult hospitalizations (2012-2018) treated with invasive mechanical ventilation (IMV) using the National Inpatient Sample, which represents 97% of all hospitalizations in the United States. We measured the proportion of hospitalizations treated with IMV who underwent bronchoscopy and assessed trends in bronchoscopy use over time. Multilevel linear regression models were used to quantify hospital-level variation, adjusting for differences in patient and hospital characteristics. RESULTS: We identified 6,101,070 IMV-treated hospitalizations (2012-2018), of whom 609,405 underwent bronchoscopy; among hospitalizations receiving bronchoscopy, mean age was 61 years, 41.8% were women, and in-hospital mortality was 30.8%. The percentage of IMV-treated hospitalizations receiving bronchoscopy increased from 9.5% (95% CI, 9.1%-9.9%) in 2012 to 10.8% (95% CI, 10.4%-11.2%) in 2018 (P < .001 for difference). In 2018, bronchoscopy use varied from 0% to 57.1% among 1,787 hospitals, and in multilevel models adjusted for patient and hospital characteristics, 16.0% of the variation was explained at the hospital level. The median OR was 2.13 (95% CI, 2.05-2.21), indicating 113% increased odds of receiving bronchoscopy if moving from a lower-use to a higher-use hospital. INTERPRETATION: Bronchoscopy use among hospitalizations treated with IMV has increased over time. The large variation in use of bronchoscopy across hospitals suggests potentially unwarranted practice variation and need for further studies to clarify which patients benefit from bronchoscopy.