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.

Characteristics of Patients Hospitalized in Rural and Urban ICUs From 2010 to 2019.

OBJECTIVES: Rural hospitals are threatened by workforce shortages and financial strain. To optimize regional critical care delivery, it is essential to understand what types of patients receive intensive care in rural and urban hospitals. DESIGN: A retrospective cohort study. SETTING AND PATIENTS: All fee-for-service Medicare beneficiaries in the United States who were 65 years old or older hospitalized in an ICU between 2010 and 2019 were included. Rural and urban hospitals were classified according to the 2013 National Center For Health Statistics Urban-Rural Classification Scheme for Counties. Patient comorbidities, primary diagnoses, organ dysfunction, and procedures were measured using the International Classification of Diseases, 9th and 10th revisions diagnosis and procedure codes. Standardized differences were used to compare rural and urban patient admission characteristics. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: There were 12,224,097 ICU admissions between 2010 and 2019, and 1,488,347 admissions (12.2%) were to rural hospitals. The most common diagnoses in rural hospitals were cardiac (30.3%), infectious (24.6%), and respiratory (10.9%). Patients in rural ICUs had similar organ dysfunction compared with urban hospitals (mean organ failures in rural ICUs 0.5, sd 0.8; mean organ failures in urban ICUs 0.6, sd 0.9, absolute standardized mean difference 0.096). Organ dysfunction among rural ICU admissions increased over time (0.4 mean organ failures in 2010 to 0.7 in 2019, p < 0.001). CONCLUSIONS: Rural hospitals care for an increasingly complex critically ill patient population with similar organ dysfunction as urban hospitals. There is a pressing need to develop policies at federal and regional healthcare system levels to support the continued provision of high-quality ICU care within rural hospitals.

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.

Racial and Ethnic Disparities in Occult Hypoxemia Prevalence and Clinical Outcomes Among Hospitalized Patients: A Systematic Review and Meta-analysis.

BACKGROUND: There is growing concern that pulse oximeters are routinely less accurate in hospitalized patients with darker skin pigmentation, in turn increasing risk of undetected (occult) hypoxemia and adverse clinical outcomes. The aim of this systematic review and meta-analysis was to synthesize evidence on racial and ethnic disparities in occult hypoxemia prevalence and clinical impacts of undetected hypoxemia. METHODS: Ovid MEDLINE, Embase, and CINAHL databases were searched for relevant articles published through January 2024. Eligible studies must have been conducted among adults in inpatient or outpatient settings and report occult hypoxemia prevalence stratified by patient race or ethnicity, or clinical outcomes stratified by patient race or ethnicity and occult hypoxemia status. Screening for inclusion was conducted independently by two investigators. Data extraction and risk of bias assessment were conducted by one investigator then checked by a second. Outcome data were synthesized using random-effects meta-analyses. RESULTS: Fifteen primary studies met eligibility criteria and reported occult hypoxemia prevalence in 732,505 paired oximetry measurements from 207,464 hospitalized patients. Compared with White patients, occult hypoxemia is likely more common among Black patients (pooled prevalence ratio = 1.67, 95% CI 1.47 to 1.90) and among patients identifying as Asian, Latinx, Indigenous, multiracial, or other race or ethnicity (pooled prevalence ratio = 1.39, 95% CI 1.19 to 1.64). Findings from studies reporting clinical outcomes suggest that Black patients with undetected hypoxemia may experience poorer treatment delivery outcomes than White patients with undetected hypoxemia. No evidence was found from outpatient settings. DISCUSSION: This review and included primary studies rely on self-identified race or ethnicity, which may obscure variability in occult hypoxemia risk. Findings underscore that clinicians should be aware of the risk of occult hypoxemia in hospitalized patients with darker skin pigmentation. Moreover, oximetry data from included studies suggests that the accuracy of pulse oximeters could vary substantially from patient to patient and even within individual patients. TRIAL REGISTRATION: PROSPERO ( CRD42023402152 ).

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."

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.

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.

Variation in Initial U.S. Hospital Responses to the Coronavirus Disease 2019 Pandemic.

OBJECTIVES: The coronavirus disease 2019 pandemic has strained many healthcare systems. In response, U.S. hospitals altered their care delivery systems, but there are few data regarding specific structural changes. Understanding these changes is important to guide interpretation of outcomes and inform pandemic preparedness. We sought to characterize emergency responses across hospitals in the United States over time and in the context of local case rates early in the coronavirus disease 2019 pandemic. DESIGN: We surveyed hospitals from a national acute care trials group regarding operational and structural changes made in response to the coronavirus disease 2019 pandemic from January to August 2020. We collected prepandemic characteristics and changes to hospital system, space, staffing, and equipment during the pandemic. We compared the timing of these changes with county-level coronavirus disease 2019 case rates. SETTING AND PARTICIPANTS: U.S. hospitals participating in the Prevention and Early Treatment of Acute Lung Injury Network Coronavirus Disease 2019 Observational study. Site investigators at each hospital collected local data. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Forty-five sites participated (94% response rate). System-level changes (incident command activation and elective procedure cancellation) occurred at nearly all sites, preceding rises in local case rates. The peak inpatient census during the pandemic was greater than the prior hospital bed capacity in 57% of sites with notable regional variation. Nearly half (49%) expanded ward capacity, and 63% expanded ICU capacity, with nearly all bed expansion achieved through repurposing of clinical spaces. Two-thirds of sites adapted staffing to care for patients with coronavirus disease 2019, with 48% implementing tiered staffing models, 49% adding temporary physicians, nurses, or respiratory therapists, and 30% changing the ratios of physicians or nurses to patients. CONCLUSIONS: The coronavirus disease 2019 pandemic prompted widespread system-level changes, but front-line clinical care varied widely according to specific hospital needs and infrastructure. Linking operational changes to care delivery processes is a necessary step to understand the impact of the coronavirus disease 2019 pandemic on patient outcomes.

Gamification for Family Engagement in Lifestyle Interventions: A Systematic Review.

The majority of chronic conditions that plague the USA are modifiable by lifestyle change. Lifestyle interventions that incorporate family members for social support and that use game design elements to engage family members have the potential to improve upon traditional interventions, which have largely been unsustainable. Determining the populations where family member support in a lifestyle intervention are present and the extent of gamification of lifestyle intervention components that engage these family members is an important and underexplored area of work. A systematic review of lifestyle interventions involving family members were reviewed for game design elements using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. Game design elements related to engaged learning and motivational affordances from previous literature were included. Sixty-one studies met inclusion criteria. These studies reported on 50 independent interventions that were reviewed. Thirty-one of these interventions addressed lifestyle in those with a chronic condition, and 19 addressed lifestyle in those at high risk for chronic conditions. The majority of the lifestyle interventions included at least one game design element, yet overall there were limited elements utilized together. Compared with successful gamified programs that have greatly impacted a population's health behaviors, there were relatively a limited number of elements reported, particularly those that support social relatedness, such as meaningful storylines. Meaningfulness of the game design elements chosen and their arrangement was not apparent. Technology was under-utilized as a potential modality for intervention component delivery. Developing products to train researchers to properly apply game design elements to intervention components, as well as test their effectiveness, are areas for future research.

Clinical Implications of Microbiologic Treatment Failure in the Setting of Clinical Cure of Bacterial Pneumonia.

BACKGROUND: Microbiologic cure is a common outcome in pneumonia clinical trials, but its clinical significance is incompletely understood. METHODS: We conducted a retrospective cohort study of adult patients hospitalized with bacterial pneumonia who achieved clinical cure. Rates of recurrent pneumonia and death were compared between patients with persistent growth of the index pathogen at the time of clinical cure (microbiologic failure) and those with pathogen eradication (microbiologic cure). RESULTS: Among 441 patients, 237 experienced microbiologic cure and 204 experienced microbiologic failure. Prevalences of comorbidities, ventilator dependence, and severity of acute illness were similar between groups. Patients with microbiologic failure experienced significantly higher rates of recurrent pneumonia or death following clinical cure than patients with microbiologic cure, controlling for comorbid conditions, severity of acute illness, appropriateness of empiric antibiotics, intensive care unit placement, tracheostomy dependence, and immunocompromised status (90-day multivariable adjusted odds ratio [OR], 1.56; 95% confidence interval [CI], 1.04-2.35). This association was observed among patients with pneumonias caused by Staphylococcus aureus (90-day multivariable adjusted OR, 3.69; 95% CI, 1.73-7.90). A trend was observed among pneumonias caused by nonfermenting gram-negative bacilli, but not Enterobacteriaceae or other pathogens. CONCLUSIONS: Microbiologic treatment failure was independently associated with recurrent pneumonia or death among patients with bacterial pneumonia following clinical cure. Microbiologic cure merits further study as a metric to guide therapeutic interventions for patients with bacterial pneumonia.

Prior Vaccination and Effectiveness of Communication Strategies Used to Describe Infectious Diseases.

We tested the effect of prior vaccination on response to communication strategies in a hypothetical news article about an influenza pandemic. Vaccinated were more likely than nonvaccinated participants to plan future vaccination, and future vaccination intent was greater with certain communication strategies. Using these findings to target communication may increase vaccination rates.

Estimating ICU Benefit: A Randomized Study of Physicians.

OBJECTIVES: The distinction between overuse and appropriate use of the ICU hinges on whether a patient would benefit from ICU care. We sought to test 1) whether physicians agree about which types of patients benefit from ICU care and 2) whether estimates of ICU benefit are influenced by factors unrelated to severity of illness. DESIGN: Randomized study. SETTING: Online vignettes. SUBJECTS: U.S. critical care physicians. INTERVENTIONS: Physicians were provided with eight vignettes of hypothetical patients. Each vignette had a single patient or hospital factor randomized across participants (four factors related and four unrelated to severity of illness). MEASUREMENTS AND MAIN RESULTS: The primary outcome was the estimate of ICU benefit, assessed with a 4-point Likert-type scale. In total, 1,223 of 8,792 physicians volunteered to participate (14% recruitment rate). Physician agreement of ICU benefit was poor (mean intraclass correlation coefficient for each vignette: 0.06; range: 0-0.18). There were no vignettes in which more than two thirds of physicians agreed about the extent to which a patient would benefit from ICU care. Increasing severity of illness resulted in greater estimated benefit of ICU care. Among factors unrelated to severity of illness, physicians felt ICU care was more beneficial when told one ICU bed was available than if ICU bed availability was unmentioned. Physicians felt ICU care was less beneficial when family was present than when family presence was unmentioned. The patient's age, but not race/ethnicity, also impacted estimates of ICU benefit. CONCLUSIONS: Estimates of ICU benefit are widely dissimilar and influenced by factors unrelated to severity of illness, potentially resulting in inconsistent allocation of ICU care.

Trends in Hospital Utilization After Medicaid Expansion.

BACKGROUND: Medicaid expansion was associated with an increase in hospitalizations funded by Medicaid. Whether this increase reflects an isolated payer shift or broader changes in case-mix among hospitalized adults remains uncertain. RESEEARCH DESIGN: Difference-in-differences analysis of discharge data from 4 states that expanded Medicaid in 2014 (Arizona, Iowa, New Jersey, and Washington) and 3 comparison states that did not (North Carolina, Nebraska, and Wisconsin). SUBJECTS: All nonobstetric hospitalizations among patients aged 19-64 years of age admitted between January 2012 and December 2015. MEASURES: Outcomes included state-level per-capita rates of insurance coverage, several markers of admission severity, and admission diagnosis. RESULTS: We identified 6,516,576 patients admitted during the study period. Per-capita admissions remained consistent in expansion and nonexpansion states, though Medicaid-covered admissions increased in expansion states (274.6-403.8 per 100,000 people vs. 268.9-262.8 per 100,000; P<0.001). There were no significant differences after Medicaid expansion in hospital utilization, based on per-capita rates of patients-designated emergent, admitted via the emergency department, admitted via clinic, discharged within 1 day, or with lengths of stay ≥7 days. Similarly, there were no differences in diagnosis category at admission, admission severity, comorbidity burden, or mortality associated with Medicaid expansion (P>0.05 for all comparisons). CONCLUSIONS: Medicaid expansion was associated with a shift in payers among nonelderly hospitalized adults without significant changes in case-mix or in several markers of acuity. These findings suggest that Medicaid expansion may reduce uncompensated care without shifting admissions practices or acuity among hospitalized adults.

Hospital Variation in Renal Replacement Therapy for Sepsis in the United States.

OBJECTIVES: Acute renal replacement therapy in patients with sepsis has increased dramatically with substantial costs. However, the extent of variability in use across hospitals-and whether greater use is associated with better outcomes-is unknown. DESIGN: Retrospective cohort study. SETTING: Nationwide Inpatient Sample in 2011. PATIENTS: Eighteen years old and older with sepsis and acute kidney injury admitted to hospitals sampled by the Nationwide Inpatient Sample in 2011. INTERVENTIONS: We estimated the risk- and reliability-adjusted rate of acute renal replacement therapy use for patients with sepsis and acute kidney injury at each hospital. We examined the association between hospital-specific renal replacement therapy rate and in-hospital mortality and hospital costs after adjusting for patient and hospital characteristics. MEASUREMENTS AND MAIN RESULTS: We identified 293,899 hospitalizations with sepsis and acute kidney injury at 440 hospitals, of which 6.4% (n = 18,885) received renal replacement therapy. After risk and reliability adjustment, the median hospital renal replacement therapy rate for patients with sepsis and acute kidney injury was 3.6% (interquartile range, 2.9-4.5%). However, hospitals in the top quintile of renal replacement therapy use had rates ranging from 4.8% to 13.4%. There was no significant association between hospital-specific renal replacement therapy rate and in-hospital mortality (odds ratio per 1% increase in renal replacement therapy rate: 1.03; 95% CI, 0.99-1.07; p = 0.10). Hospital costs were significantly higher with increasing renal replacement therapy rates (absolute cost increase per 1% increase in renal replacement therapy rate: $1,316; 95% CI, $157-$2,475; p = 0.03). CONCLUSIONS: Use of renal replacement therapy in sepsis varied widely among nationally sampled hospitals without associated differences in mortality. Improving renal replacement standards for the initiation of therapy for sepsis may reduce healthcare costs without increasing mortality.

Association Between Noninvasive Ventilation and Mortality Among Older Patients With Pneumonia.

OBJECTIVE: Despite increasing use, evidence is mixed as to the appropriate use of noninvasive ventilation in patients with pneumonia. We aimed to determine the relationship between receipt of noninvasive ventilation and outcomes for patients with pneumonia in a real-world setting. DESIGN, SETTING, PATIENTS: We performed a retrospective cohort study of Medicare beneficiaries (aged > 64 yr) admitted to 2,757 acute-care hospitals in the United States with pneumonia, who received mechanical ventilation from 2010 to 2011. EXPOSURES: Noninvasive ventilation versus invasive mechanical ventilation. MEASUREMENT AND MAIN RESULTS: The primary outcome was 30-day mortality with Medicare reimbursement as a secondary outcome. To account for unmeasured confounding associated with noninvasive ventilation use, an instrumental variable was used-the differential distance to a high noninvasive ventilation use hospital. All models were adjusted for patient and hospital characteristics to account for measured differences between groups. Among 65,747 Medicare beneficiaries with pneumonia who required mechanical ventilation, 12,480 (19%) received noninvasive ventilation. Patients receiving noninvasive ventilation were more likely to be older, male, white, rural-dwelling, have fewer comorbidities, and were less likely to be acutely ill as measured by organ failures. Results of the instrumental variable analysis suggested that, among marginal patients, receipt of noninvasive ventilation was not significantly associated with differences in 30-day mortality when compared with invasive mechanical ventilation (54% vs 55%; p = 0.92; 95% CI of absolute difference, -13.8 to 12.4) but was associated with significantly lower Medicare spending ($18,433 vs $27,051; p = 0.02). CONCLUSIONS: Among Medicare beneficiaries hospitalized with pneumonia who received mechanical ventilation, noninvasive ventilation use was not associated with a real-world mortality benefit. Given the wide CIs, however, substantial harm associated with noninvasive ventilation could not be excluded. The use of noninvasive ventilation for patients with pneumonia should be cautioned, but targeted enrollment of marginal patients with pneumonia could enrich future randomized trials.

Rising Billing for Intermediate Intensive Care among Hospitalized Medicare Beneficiaries between 1996 and 2010.

RATIONALE: Intermediate care (i.e., step-down or progressive care) is an alternative to the intensive care unit (ICU) for patients with moderate severity of illness. The adoption and current use of intermediate care is unknown. OBJECTIVES: To characterize trends in intermediate care use among U.S. hospitals. METHODS: We examined 135 million acute care hospitalizations among elderly individuals (≥65 yr) enrolled in fee-for-service Medicare (U.S. federal health insurance program) from 1996 to 2010. We identified patients receiving intermediate care as those with intensive care or coronary care room and board charges labeled intermediate ICU. MEASUREMENTS AND MAIN RESULTS: In 1996, a total of 960 of the 3,425 hospitals providing critical care billed for intermediate care (28%), and this increased to 1,643 of 2,783 hospitals (59%) in 2010 (P < 0.01). Only 8.2% of Medicare hospitalizations in 1996 were billed for intermediate care, but billing steadily increased to 22.8% by 2010 (P < 0.01), whereas the percentage billed for ICU care and ward-only care declined. Patients billed for intermediate care had more acute organ failures diagnoses codes compared with general ward patients (22.4% vs. 15.8%). When compared with patients billed for ICU care, those billed for intermediate care had fewer organ failures (22.4% vs. 43.4%), less mechanical ventilation (0.9% vs. 16.7%), lower mean Medicare spending ($8,514 vs. $18,150), and lower 30-day mortality (5.6% vs. 16.5%) (P < 0.01 for all comparisons). CONCLUSIONS: Intermediate care billing increased markedly between 1996 and 2010. These findings highlight the need to better define the value, specific practices, and effective use of intermediate care for patients and hospitals.