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.

The Impact of Timing on Clinical and Economic Outcomes During Inter-ICU Transfer of Acute Respiratory Failure Patients: Time and Tide Wait for No One.

Approximately one in 30 patients with acute respiratory failure (ARF) undergoes an inter-ICU transfer. Our objectives are to describe inter-ICU transfer patterns and evaluate the impact of timing of transfer on patient-centered outcomes. DESIGN: Retrospective, quasi-experimental study. SETTING: We used the Healthcare Cost and Utilization Project State Inpatient Databases in five states (Florida, Maryland, Mississippi, New York, and Washington) during 2015-2017. PARTICIPANTS: We selected patients with International Classification of Diseases, 9th and 10th Revision codes of respiratory failure and mechanical ventilation who underwent an inter-ICU transfer (n = 6,718), grouping as early (≤ 2 d) and later transfers (3+ d). To control for potential selection bias, we propensity score matched patients (1:1) to model propensity for early transfer using a priori defined patient demographic, clinical, and hospital variables. MAIN OUTCOMES: Inhospital mortality, hospital length of stay (HLOS), and cumulative charges related to inter-ICU transfer. RESULTS: Six-thousand seven-hundred eighteen patients with ARF underwent inter-ICU transfer, 68% of whom (n = 4,552) were transferred early (≤ 2 d). Propensity score matching yielded 3,774 well-matched patients for this study. Unadjusted outcomes were all superior in the early versus later transfer cohort: inhospital mortality (24.4% vs 36.1%; p < 0.0001), length of stay (8 vs 22 d; p < 0.0001), and cumulative charges ($118,686 vs $308,977; p < 0.0001). Through doubly robust multivariable modeling with random effects at the state level, we found patients who were transferred early had a 55.8% reduction in risk of inhospital mortality than those whose transfer was later (relative risk, 0.442; 95% CI, 0.403-0.497). Additionally, the early transfer cohort had lower HLOS (20.7 fewer days [13.0 vs 33.7; p < 0.0001]), and lower cumulative charges ($66,201 less [$192,182 vs $258,383; p < 0.0001]). CONCLUSIONS AND RELEVANCE: Our study is the first to use a large, multistate sample to evaluate the practice of inter-ICU transfers in ARF and also define early and later transfers. Our findings of favorable outcomes with early transfer are vital in designing future prospective studies evaluating evidence-based transfer procedures and policies.

Missing data methods for intensive care unit SOFA scores in electronic health records studies: results from a Monte Carlo simulation.

Aim: Missing data cause problems through decreasing sample size and the potential for introducing bias. We tested four missing data methods on the Sequential Organ Failure Assessment (SOFA) score, an intensive care research severity adjuster. Methods: Simulation study using 2015-2017 electronic health record data, where the complete dataset was sampled, missing SOFA score elements imposed and performance examined of four missing data methods - complete case analysis, median imputation, zero imputation (recommended by SOFA score creators) and multiple imputation (MI) - on the outcome of in-hospital mortality. Results: MI performed well, whereas other methods introduced varying amounts of bias or decreased sample size. Conclusion: We recommend using MI in analyses where SOFA score component values are missing in administrative data research.

Do Hospitals Providing Telehealth in Emergency Departments Have Lower Emergency Department Costs?

Background: Since 2003, the University of Mississippi Medical Center has operated a robust telehealth emergency department (ED) network, TelEmergency, which enhances access to emergency medicine-trained physicians at participating rural hospitals. TelEmergency was developed as a cost-control measure for financially constrained rural hospitals to improve access to quality, emergency care. However, the literature remains unclear as to whether ED telehealth services can be provided at lower costs compared with traditional in-person ED services. Introduction: Our objective was to empirically determine whether TelEmergency was associated with lower ED costs at rural hospitals when compared with similar hospitals without TelEmergency between 2010 and 2017. Materials and Methods: A panel of data for 2010-2017 was constructed at the hospital level. Hospitals with TelEmergency (n = 14 hospitals; 112 hospital-years) were compared with similar hospitals that did not use TelEmergency from Arkansas, Georgia, Mississippi, and South Carolina (n = 102; 766 hospital-years), matched using Coarsened Exact Matching. The relationship between total ED costs and treatment (e.g., participation in TelEmergency) was predicted using generalized estimating equations with a Poisson distribution, a log link, an exchangeable error term, and robust standard errors. Results: After controlling for ownership type, critical access hospital status, year, and size, TelEmergency was associated with an estimated 31.4% lower total annual ED costs compared with similar matched hospitals that did not provide TelEmergency. Conclusions: TelEmergency utilization was associated with significantly lower total annual ED costs compared with similarly matched hospitals that did not utilize TelEmergency. These findings suggest that access to quality ED care in rural communities can occur at lower costs.

From Barriers to Assets: Rethinking factors impacting advance care planning for African Americans.

OBJECTIVE: We aimed to explore multiple perspectives regarding barriers to and facilitators of advance care planning (ACP) among African Americans to identify similarities or differences that might have clinical implications. METHOD: Qualitative study with health disparities experts (n = 5), community members (n = 9), and seriously ill African American patients and caregivers (n = 11). Using template analysis, interviews were coded to identify intrapersonal, interpersonal, and systems-level themes in accordance with a social ecological framework.ResultParticipants identified seven primary factors that influence ACP for African Americans: religion and spirituality; trust and mistrust; family relationships and experiences; patient-clinician relationships; prognostic communication, care preferences, and preparation and control. These influences echo those described in the existing literature; however, our data highlight consistent differences by group in the degree to which these factors positively or negatively affect ACP. Expert participants reinforced common themes from the literature, for example, that African Americans were not interested in prognostic information because of mistrust and religion. Seriously ill patients were more likely to express trust in their clinicians and to desire prognostic communication; they and community members expressed a desire to prepare for and control the end of life. Religious belief did not appear to negate these desires.Significance of resultsThe literature on ACP in African Americans may not accurately reflect the experience of seriously ill African Americans. What are commonly understood as barriers to ACP may in fact not be. We propose reframing stereotypical barriers to ACP, such as religion and spirituality, or family, as cultural assets that should be engaged to enhance ACP. Although further research can inform best practices for engaging African American patients in ACP, findings suggest that respectful, rapport-building communication may facilitate ACP. Clinicians are encouraged to engage in early ACP using respectful and rapport building communication practices, including open-ended questions.

Self-Assessment Scores Improve After Simulation-Based Palliative Care Communication Skill Workshops.

BACKGROUND: We conducted a randomized trial of a simulation-based multisession workshop to improve palliative care communication skills (Codetalk). Standardized patient assessments demonstrated improved communication skills for trainees receiving the intervention; however, patient and family assessments failed to demonstrate improvement. This article reports findings from trainees' self-assessments. AIM: To examine whether Codetalk resulted in improved self-assessed communication competence by trainees. DESIGN: Trainees were recruited from the University of Washington and the Medical University of South Carolina. Internal medicine residents, medicine subspecialty fellows, nurse practitioner students, or community-based advanced practice nurses were randomized to Codetalk, a simulation-based workshop, or usual education. The outcome measure was self-assessed competence discussing palliative care needs with patients and was assessed at the start and end of the academic year. We used robust linear regression models to predict self-assessed competency, both as a latent construct and as individual indicators, including randomization status and baseline self-assessed competency. RESULTS: We randomized 472 trainees to the intervention (n = 232) or usual education (n = 240). The intervention was associated with an improvement in trainee's overall self-assessment of competence in communication skills ( P < .001). The intervention was also associated with an improvement in trainee self-assessments of 3 of the 4 skill-specific indicators-expressing empathy, discussing spiritual issues, and eliciting goals of care. CONCLUSION: Simulation-based communication training was associated with improved self-assessed competency in overall and specific communication skills in this randomized trial. Further research is needed to fully understand the importance and limitations of self-assessed competence in relation to other outcomes of improved communication skill.

Patient and Hospital Characteristics Associated with Interhospital Transfer for Adults with Ventilator-Dependent Respiratory Failure.

RATIONALE: Patients with ventilator-dependent respiratory failure have improved outcomes at centers with greater expertise; yet, most patients are not treated in such facilities. Efforts to align care for respiratory failure and hospital capability would necessarily require interhospital transfer. OBJECTIVES: To characterize the prevalence and the patient and hospital factors associated with interhospital transfer of adults residing in Florida with ventilator-dependent respiratory failure. METHODS: We performed a retrospective, observational study using Florida Healthcare Cost and Utilization Project data. We selected patients 18 years of age and older with International Classification of Diseases, Ninth Revision, codes of respiratory failure and mechanical ventilation during 2012 and 2013, and we identified cohorts of patients that did and did not undergo interhospital transfer. We obtained patient sociodemographic and clinical variables and categorized hospitals into subtypes on the basis of patient volume and services provided: large, medium (nonprofit or for-profit), and small. RESULTS: Interhospital transfer was our primary outcome measure. Patient sociodemographics, clinical variables, and hospital types were used as covariates. We identified 2,580 patients with ventilator-dependent respiratory failure who underwent interhospital transfer. Overall, transfer was uncommon, with only 2.9% of patients being transferred. In a hierarchical model, age less than 65 years (odds ratio [OR], 2.09; 95% confidence interval [CI], 1.77-2.45) and tracheostomy (OR, 3.19; 95% CI, 2.80-3.65) were associated with higher odds of transfer, whereas having Medicaid was associated with lower odds of transfer than having commercial insurance (OR, 0.65; 95% CI, 0.56-0.75). Additionally, care in medium-sized for-profit hospitals was associated with lower odds of transfer (OR, 1.37 vs. 2.70) than care in medium nonprofit hospitals, despite similar hospital characteristics. CONCLUSIONS: In Florida, interhospital transfer of patients with ventilator-dependent respiratory failure is uncommon and more likely among younger, commercially insured, medically resource-intensive patients. For-profit hospitals are less likely to transfer than nonprofit hospitals. In future studies, researchers should test for geographic variations and examine the clinical implications of selectivity in interhospital transfer of patients with ventilator-dependent respiratory failure.

Where You Live Matters: The Impact of Place of Residence on Severe Sepsis Incidence and Mortality.

BACKGROUND: Medically underserved areas are composed of vulnerable populations with reduced access to ambulatory care services. Our goal was to determine the association between residence in a medically underserved area and severe sepsis incidence and mortality. METHODS: Using administrative data, we identified adults admitted with severe sepsis to nonfederal hospitals in South Carolina. We determined whether each resident lived in a medically underserved area or nonmedically underserved area from US Census and Department of Health and Human Services data. Age-adjusted severe sepsis incidence and mortality rates were calculated and compared between both residential classifications. Multivariate logistic regression measured the association between residence in a medically underserved area and mortality while adjusting for confounders. RESULTS: In 2010, 24,395 adults were admitted with severe sepsis and 1,446,987 (43%) adults lived in a medically underserved area. Residents of medically underserved areas were admitted more frequently with severe sepsis (8.6 vs 6.8 cases/1,000 people, P < .01) and were more likely to die (15.5 vs 11.9 deaths/10,000 people, P < .01), with increased odds of severe sepsis-related death (OR, 1.12) after adjustment for age, race, and severity of illness. ZIP code-based surrogates of socioeconomic status, including median income, proportion below poverty level, and educational attainment, however, had minimal association with sepsis mortality. CONCLUSIONS: Residence in a medically underserved area is associated with higher incidence and mortality rates of severe sepsis and represents a novel method of access-to-care adjustment. Traditional access-to-care surrogates, however, are poorly associated with sepsis mortality.

A Severe Sepsis Mortality Prediction Model and Score for Use With Administrative Data.

OBJECTIVE: Administrative data are used for research, quality improvement, and health policy in severe sepsis. However, there is not a sepsis-specific tool applicable to administrative data with which to adjust for illness severity. Our objective was to develop, internally validate, and externally validate a severe sepsis mortality prediction model and associated mortality prediction score. DESIGN: Retrospective cohort study using 2012 administrative data from five U.S. states. Three cohorts of patients with severe sepsis were created: 1) International Classification of Diseases, 9th Revision, Clinical Modification codes for severe sepsis/septic shock, 2) Martin approach, and 3) Angus approach. The model was developed and internally validated in International Classification of Diseases, 9th Revision, Clinical Modification, cohort and externally validated in other cohorts. Integer point values for each predictor variable were generated to create a sepsis severity score. SETTING: Acute care, nonfederal hospitals in New York, Maryland, Florida, Michigan, and Washington. SUBJECTS: Patients in one of three severe sepsis cohorts: 1) explicitly coded (n = 108,448), 2) Martin cohort (n = 139,094), and 3) Angus cohort (n = 523,637) INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Maximum likelihood estimation logistic regression to develop a predictive model for in-hospital mortality. Model calibration and discrimination assessed via Hosmer-Lemeshow goodness-of-fit and C-statistics, respectively. Primary cohort subset into risk deciles and observed versus predicted mortality plotted. Goodness-of-fit demonstrated p value of more than 0.05 for each cohort demonstrating sound calibration. C-statistic ranged from low of 0.709 (sepsis severity score) to high of 0.838 (Angus cohort), suggesting good to excellent model discrimination. Comparison of observed versus expected mortality was robust although accuracy decreased in highest risk decile. CONCLUSIONS: Our sepsis severity model and score is a tool that provides reliable risk adjustment for administrative data.

Palliative and end-of-life educational practices in US pulmonary and critical care training programs.

PURPOSE: To describe educational features in palliative and end-of-life care (PEOLC) in pulmonary/critical care fellowships and identify the features associated with perceptions of trainee competence in PEOLC. METHODS: A survey of educational features in 102 training programs and the perceived skill and comfort level of trainees in 6 PEOLC domains: communication, symptom control, ethical/legal, community/institutional resources, specific syndromes, and ventilator withdrawal. We evaluated associations between perceived trainee competence/comfort in PEOLC and training program features, using regression analyses. RESULTS: Fifty-five percent of program directors (PDs) reported faculty with training in PEOLC; 30% had a written PEOLC curriculum. Neither feature was associated with trainee competence/comfort. Program directors and trainees rated bedside PEOLC teaching highly. Only 20% offered PEOLC rotations; most trainees judged these valuable. Most PDs and trainees reported that didactic teaching was insufficient in communication, although sufficient teaching of this was associated with perceived trainee competence in communication. Perceived trainee competence in managing institutional resources was rated poorly. Program directors reporting significant barriers to PEOLC education also judged trainees less competent in PEOLC. Time constraint was the greatest barrier. CONCLUSION: This survey of PEOLC education in US pulmonary/critical care fellowships identified associations between certain program features and perceived trainee skill in PEOLC. These results generate hypotheses for further study.

Frequency, cost, and risk factors of readmissions among severe sepsis survivors.

OBJECTIVE: To determine the frequency, mortality, cost, and risk factors associated with readmission after index hospitalization with severe sepsis. DESIGN: Observational cohort study of Healthcare Cost and Utilization Project data. SETTING: All nonfederal hospitals in three U.S. states. PATIENTS: Severe sepsis survivors (n = 43,452) in the first two quarters of 2011. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We measured readmission rates and the associated cost and mortality of readmissions in severe sepsis survivors. We used multivariable logistic regression to identify patient and hospitalization characteristics associated with readmission. Of 43,452 sepsis survivors, 26% required readmission within 30 days and 48% within 180 days. The cumulative mortality rate of sepsis survivors attributed to readmissions was 8%, and the estimated cost was over $1.1 billion. Among survivors, 25% required multiple readmissions within 180 days and accounted for 77% of all readmissions. Age younger than 80 years (odds ratio, 1.14; 95% CI, 1.08-1.21), black race (odds ratio, 1.18; 95% CI, 1.10-1.26), and Medicare or Medicaid payor status (odds ratio, 1.21; 95% CI, 1.13-1.30; odds ratio, 1.34; 95% CI, 1.23-1.46, respectively) were associated with greater odds of 30-day readmission while female gender was associated with reduced odds (odds ratio, 0.92; 95% CI, 0.87-0.96). Comorbidities including malignancy (odds ratio, 1.34; 95% CI, 1.24-1.45), collagen vascular disease (odds ratio, 1.30; 95% CI, 1.15-1.46), chronic kidney disease (odds ratio, 1.24; 95% CI, 1.18-1.31), liver disease (odds ratio, 1.22; 95% CI, 1.11-1.34), congestive heart failure (odds ratio, 1.14; 95% CI, 1.08-1.19), lung disease (odds ratio, 1.12; 95% CI, 1.06-1.18), and diabetes (odds ratio, 1.12; 95% CI, 1.07-1.17) were associated with greater odds of 30-day readmission. Index hospitalization characteristics including longer length of stay, discharge to a care facility, higher hospital annual severe sepsis case volume, and higher hospital sepsis mortality rate were also positively associated with readmission rates. CONCLUSION: The 30-day and 180-day readmissions are common in sepsis survivors with significant resultant cost and mortality. Patient sociodemographics and comorbidities as well as index hospitalization characteristics are associated with 30-day readmission rates.

Variability in structure of university pulmonary/critical care fellowships and retention of fellows in academic medicine.

INTRODUCTION: Individual fellowship programs are challenged to find a format of training that not only meets the Accreditation Council for Graduate Medical Education requirements, but also grooms fellows to be trusted clinicians, and encourages them to enter academic careers. This study was undertaken as part of an internal effort to evaluate and revise the program structure of the pulmonary/critical care medicine fellowship at the Medical University of South Carolina. Our objectives were to characterize variation in the training structure and specifically research opportunities of university pulmonary/critical care medicine fellowship programs, and to identify factors associated with fellow retention in academic medicine and research. METHODS: A 30-item survey was developed through rigorous internal review and was administered via email. Descriptive statistics, Cronbach's alpha, correlations, Wilcoxon sign-rank test, and ANOVA were carried out. RESULTS: We had a response rate of 52%. Program directors reported that, within the past 5 years, 38% of their fellows remained in academic medicine and 20% remained in academics with significant research focus. We found a statistically significant association between obtaining a master's degree and remaining in academics (r = 0.559; P < 0.008). The survey also revealed statistically significant relationships between scholarly requirements (grant proposals, peer-reviewed original research projects) and the percent of fellows who graduated and remained in academics. CONCLUSIONS: This survey offers some insights that may be useful to fellowship program directors. In particular, advanced education in research and maximizing scholarly activities might be associated with increased academic retention among fellowship trainees.

Race, income, and education: associations with patient and family ratings of end-of-life care and communication provided by physicians-in-training.

BACKGROUND: Minority race and lower socioeconomic status are associated with poorer patient ratings of health care quality and provider communication. OBJECTIVE: To examine the association of race/ethnicity or socioeconomic status with patients' and families' ratings of end-of-life care and communication about end-of-life care provided by physicians-in-training. METHODS: As a component of a randomized trial evaluating a program designed to improve clinician communication about end-of-life care, patients and patients' families completed preintervention survey data regarding care and communication provided by internal medicine residents and medical subspecialty fellows. We examined associations between patient and family race or socioeconomic status and ratings they gave trainees on two questionnaires: the Quality of End-of-Life Care (QEOLC) and Quality of Communication (QOC). RESULTS: Patients from racial/ethnic minority groups, patients with lower income, and patients with lower educational attainment gave trainees higher ratings on the end-of-life care subscale of the QOC (QOCeol). In path models, patient educational attainment and income had a direct effect on outcomes, while race/ethnicity did not. Lower family educational attainment was also associated with higher trainee ratings on the QOCeol, while family non-white race was associated with lower trainee ratings on the QEOLC and general subscale of the QOC. CONCLUSIONS: Patient race is associated with perceptions of the quality of communication about end-of-life care provided by physicians-in-training, but the association was opposite to our hypothesis and appears to be mediated by socioeconomic status. Family member predictors of these perceptions differ from those observed for patients. Further investigation of these associations may guide interventions to improve care delivered to patients and families.

Barriers to hospice enrollment among lung cancer patients: a survey of family members and physicians.

OBJECTIVE: Most patients diagnosed with lung cancer present with advanced stage disease and have a poor chance of long-term survival. Despite the advantages of hospice care for lung cancer patients, many are enrolled late in the course of their illness or not at all. We sought to identify reasons for this pattern. METHOD: A list of perceived barriers to hospice enrollment was generated and used to create two self-administered surveys, one for physicians and one for caregivers. After focus group testing, the finalized instruments were mailed to physicians in South Carolina and to caregivers of lung cancer patients who died under hospice care with a local hospice between 2000 and 2004. RESULTS: Fifty-three caregivers and 273 physicians responded to the survey. From the caregivers' perspectives, leading reasons for deferred hospice enrollment included patients' unanticipated rapid transition from well to sick and a belief that hospice means giving up hope. From the physicians' perspectives, impediments to earlier hospice enrollment included patients and caregivers overestimating survival from lung cancer and an (incorrect) assumption that patients need to be "DNR/DNI" prior to hospice enrollment. SIGNIFICANCE OF RESULTS: Lung cancer patients may benefit from earlier introduction to the concepts of hospice care and more education regarding prognosis so that an easier transition in goals of care could be achieved. A smaller proportion of lung cancer patients may benefit from earlier hospice enrollment.