Publications

BACKGROUND: Prior studies have shown variation in the intensity of end-of-life care in intensive care units (ICUs) among patients of different races.

OBJECTIVE: We sought to identify variation in the levels of care at the end of life in the ICU and to assess for any association with race and ethnicity.

DESIGN: An observational, retrospective cohort study.

SETTINGS: A tertiary care center in Boston, MA.

PARTICIPANTS: All critically ill patients admitted to medical and surgical ICUs between June 2019 and December 2020.

EXPOSURE: Self-identified race and ethnicity.

MAIN OUTCOME AND MEASURE: The primary outcome was death. Secondary outcomes included "code status," markers of intensity of care, consultation by the Palliative care service, and consultation by the Ethics service.

RESULTS: A total of 9083 ICU patient encounters were analyzed. One thousand two hundred fifty-nine patients (14%) died in the ICU; the mean age of patients was 64 years (standard deviation 16.8), and 44% of patients were women. A large number of decedents (22.7%) did not have their race identified. These patients had a high rate of interventions at death. Code status varied by race, with more White patients designated as "Comfort Measures Only" (CMO) (74%) whereas more Black patients were designated as "Do Not Resuscitate/Do Not Intubate (DNR/DNI) and DNR/ok to intubate" (12.1% and 15.7%) at the end of life; after adjustment for age and severity of illness, there were no statistical differences by race for the use of the CMO code status. Use of dialysis at the end of life varied by self-identified race. Specifically, Black and Unknown patients were more likely to receive renal replacement therapy, even after adjustment for age and severity of illness (24% and 20%, p = 0.003).

CONCLUSIONS: Our data describe a gap in identification of race and ethnicity, as well as differences at the end of life in the ICU, especially with respect to code status and certain markers of intensity.

OBJECTIVES: Pregnancy provides a critical opportunity to engage individuals with opioid use disorder in care. However, before the COVID-19 pandemic, there were multiple barriers to accessing buprenorphine/naloxone during pregnancy. Care disruptions during the pandemic may have further exacerbated these existing barriers. To quantify these changes, we examined trends in the number of individuals filling buprenorphine/naloxone prescriptions during the COVID-19 pandemic.

METHODS: We estimated an interrupted time series model using linked national pharmacy claims and medical claims data from prepandemic (May 2019 to February 2020) to the pandemic period (April 2020 to December 2020). We estimated changes in the growth rate in the monthly number of individuals filling buprenorphine/naloxone prescriptions in the 6 months preceding a delivery claim, per 100,000 pregnancies, during the COVID-19 pandemic.

RESULTS: We identified 2947 pregnant individuals filling buprenorphine/naloxone prescriptions. Before the pandemic, there was positive growth in the monthly number of individuals filling buprenorphine/naloxone prescriptions (4.83%; 95% confidence interval [CI], 3.82-5.84%). During the pandemic, this monthly growth rate declined for both individuals on commercial insurance and individuals on Medicaid (all payers: -5.53% [95% CI, -6.65% to -4.41%]; Medicaid: -7.66% [95% CI, -10.14% to -5.18%]; Commercial: -3.59% [95% CI, -5.32% to -1.87%]).

CONCLUSION: The number of pregnant individuals filling buprenorphine/naloxone prescriptions was increasing, but this growth has been lost during the pandemic.

Rationale: Tracheostomy and gastrostomy tubes are frequently placed during critical illness for long-term life support, with most placed in older adults. Large knowledge gaps exist regarding outcomes expressed as most important to patients. Objectives: To determine the number of days alive and out of institution (DAOIs) and mortality after tracheostomy and gastrostomy placement during critical illness and to evaluate associations between health states before critical illness and outcomes. Methods: In this retrospective cohort study of Medicare beneficiaries admitted to an intensive care unit (ICU) who received a tracheostomy, gastrostomy, or both, we determined the number of DAOIs after procedure date; 90-day, 6-month, and 1-year mortality; hospital discharge destination; and hospital length of stay. We used claims from the year before admission to define eight mutually exclusive pre-ICU health states (permutations of one or more of cancer, chronic organ failure, frail, and robust) and assessed their association with DAOIs in 90 days and 1-year mortality. Results: Among 3,365 patients who received a tracheostomy, 6,709 patients who received a gastrostomy tube, and 3,540 patients who received both procedures, the median number of DAOIs in the first 90 days after placement was 3 (interquartile range, 0-46), 12 (0-61), and 0 (0-37), respectively. Over half died within 180 days. One-year mortality was 62%, 60%, and 64%, respectively. When compared with the robust state, all other pre-ICU health states were associated with loss of DAOIs and increased 1-year mortality; however, between the seven non-robust pre-ICU health states, there were no differences in outcomes. Conclusions: Medicare beneficiaries with prior comorbidity who received tracheostomy, gastrostomy tube, or both during critical illness spent few DAOIs and had high short- and long-term mortality.

Inpatient consultation is widely used by hospital physician teams to access specialized expertise and procedures. However, the quality of the resultant consultation varies widely. This commentary describes prior efforts to understand variation in rates of consultation and potential implications across the spectrum of care from underuse to overuse. Improving the quality of consultation requires a full understanding of the aspects of consultation that contribute to quality, including clear requests and communications from the consulting team, but also recognition of organizational and cultural constraints that can impact the availability and quality of consultations provided.

This cohort study uses Medicare claims data to analyze health outcomes of Medicare patients admitted to the hospital and being treated by hospitalists on busy vs less busy days.

IMPORTANCE: Crisis standards of care (CSOC) scores designed to allocate scarce resources during the COVID-19 pandemic could exacerbate racial disparities in health care.

OBJECTIVE: To analyze the association of a CSOC scoring system with resource prioritization and estimated excess mortality by race, ethnicity, and residence in a socially vulnerable area.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort analysis included adult patients in the intensive care unit during a regional COVID-19 surge from April 13 to May 22, 2020, at 6 hospitals in a health care network in greater Boston, Massachusetts. Participants were scored by acute severity of illness using the Sequential Organ Failure Assessment score and chronic severity of illness using comorbidity and life expectancy scores, and only participants with complete scores were included. The score was ordinal, with cutoff points suggested by the Massachusetts guidelines.

EXPOSURES: Race, ethnicity, Social Vulnerability Index.

MAIN OUTCOMES AND MEASURES: The primary outcome was proportion of patients in the lowest priority score category stratified by self-reported race. Secondary outcomes were discrimination and calibration of the score overall and by race, ethnicity, and neighborhood Social Vulnerability Index. Projected excess deaths were modeled by race, using the priority scoring system and a random lottery.

RESULTS: Of 608 patients in the intensive care unit during the study period, 498 had complete data and were included in the analysis; this population had a median (IQR) age of 67 (56-75) years, 191 (38.4%) female participants, 79 (15.9%) Black participants, and 225 patients (45.7%) with COVID-19. The area under the receiver operating characteristic curve for the priority score was 0.79 and was similar across racial groups. Black patients were more likely than others to be in the lowest priority group (12 [15.2%] vs 34 [8.1%]; P = .046). In an exploratory simulation model using the score for ventilator allocation, with only those in the highest priority group receiving ventilators, there were 43.9% excess deaths among Black patients (18 of 41 patients) and 28.6% (58 of 203 patients among all others (P = .05); when the highest and intermediate priority groups received ventilators, there were 4.9% (2 of 41 patients) excess deaths among Black patients and 3.0% (6 of 203) among all others (P = .53). A random lottery resulted in more excess deaths than the score.

CONCLUSIONS AND RELEVANCE: In this study, a CSOC priority score resulted in lower prioritization of Black patients to receive scarce resources. A model using a random lottery resulted in more estimated excess deaths overall without improving equity by race. CSOC policies must be evaluated for their potential association with racial disparities in health care.

UNLABELLED: To determine the prevalence and extent of impairments impacting health-related quality of life among survivors of COVID-19 who required mechanical ventilation, 6 months after hospital discharge.

DESIGN: Multicenter, prospective cohort study, enrolling adults 18 years old or older with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection who received mechanical ventilation for 48 hours or more and survived to hospital discharge. Eligible patients were contacted 6 months after discharge for telephone-based interviews from March 2020 to December 2020. Assessments included: Montreal Cognitive Assessment-Blind, Hospital Anxiety and Depression Scale, Impact of Event Scale-6, EuroQOL 5 domain quality-of-life questionnaire, and components of the Multidimensional Dyspnea Profile.

SETTING: Two tertiary academic health systems.

PATIENTS: Of 173 eligible survivors, a random sample of 63 were contacted and 60 consented and completed interviews.

INTERVENTIONS: None.

MEASUREMENTS AND MAIN RESULTS: Mean age was 57 + 13 years and mean duration of invasive mechanical ventilation was 14 + 8.2 days. Six months post-discharge, 48 patients (80%; 95% CI, 68-88%) met criteria for post-intensive care syndrome (PICS), with one or more domains impaired. Among patients with PICS, 28 (47%; 95% CI, 35-59%) were impaired in at least 2 domains, and 12 (20%; 95% CI, 12-32%) impaired in all three domains. Significant symptoms of post-traumatic stress were present in 20 patients (33%; 95% CI, 23-46%), anxiety in 23 (38%; 95% CI, 27-51%), and depression in 25 (42%; 95% CI, 30-54%). Thirty-three patients (55%; 95% CI, 42-67%) had impairments in physical activity; 25 patients (42%; 95% CI, 30-54%) demonstrated cognitive impairment.

CONCLUSIONS: Eighty percent of COVID-19 survivors who required mechanical ventilation demonstrated PICS 6 months after hospital discharge. Patients were commonly impaired in multiple PICS domains as well as coexisting mental health domains.

IMPORTANCE: Inpatient subspecialty consultations, a common and expensive practice within inpatient medicine, do not always go well; however, little is known about the failure modes of consultation, thus making it difficult to identify interventions to improve consultation quality.

OBJECTIVE: To understand how stakeholders envision the ideal inpatient consultation and identify how and why consultations commonly fall short of this ideal.

DESIGN, SETTING, AND PARTICIPANTS: This qualitative study used in-depth, semistructured interviews collected from April to October 2017 and analyzed from January 2018 to February 2020 using conventional content analysis. The setting was a single academic medical center in Boston, Massachusetts. Participants were hospitalists and specialists who had requested or performed a consultation for a non-intensive care unit patient in the previous 4 months, patients who had received a consultation while hospitalized at the medical center in the previous 15 months, and family members of such patients.

MAIN OUTCOMES AND MEASURES: Consultation experiences reported by participants. Clinicians were asked about characteristics of the ideal consultation, positive and negative consultation experiences, costs and benefits, and suggested improvements. Patients and family members were asked about their consultation experience, changes in care, communication preferences, and suggested improvements.

RESULTS: The study included 38 participants: 17 specialists, 13 hospitalists, 4 patients, and 4 family members. More than half (21 of 38) of the participants were female. There were 11 key information exchanges identified that occur among the specialist team, primary team, and patient/family during an ideal consultation. These exchanges are time sensitive and primarily carried out through unwritten protocols. We also identified 6 defects (process failures) that commonly derail information exchanges (complete omission, exclusion of a key stakeholder, poor timing, incomplete or inaccurate information, and misinterpretation) and 5 contextual factors (roles and boundaries, professionalism, team hierarchy, availability, and operational know-how) that influence how information exchange unfolds, making some consultations more prone to defects.

CONCLUSIONS AND RELEVANCE: Successful inpatient consultation requires a complicated, sequenced series of time-sensitive information exchanges that are highly vulnerable to failure. Maximizing the benefit of consultations will likely entail not only minimizing low-value consultations but also actively preventing defects, such as information inaccuracies and misinterpretation, that commonly derail the consultation process.