Looking to "Level the Field": A Qualitative Study of How Clinicians Operationalize Social Determinants in Critical Care

INTRODUCTION

Current critical care practice does not integrate social determinants of health (SDOH) in systematic or standardized ways. Routine assessment of SDOH in the intensive care unit (ICU) may improve clinical decision-making, patient- and family-centered outcomes, and clinician well-being. Given the appropriateness and feasibility of SDOH assessment in the ICU is unknown, we aimed to understand how ICU clinicians think about and use SDOH.

METHODS

We conducted semi-structured interviews with clinicians focused on barriers to and facilitators of assessing SDOH during critical illness and perceptions on screening for SDOH in the ICU. We used chart-stimulated recall to assist clinicians in reflecting on how SDOH applied to and was used in patients' care. After deidentifying interviews, we analyzed transcripts guided by a thematic analysis approach using a combination of inductive and deductive coding, the latter framed within the Centers for Disease Control SDOH Healthy People framework.

RESULTS

We completed interviews with 30 clinicians, in a variety of professional roles. The majority of clinicians self-identified as men (17, 56.7%) of White race (25, 83.3%). Clinicians contextualize their use of SDOH within three frames of reference: 1) their own identity and experiences; 2) their relationships and communication with patients and caregivers; and 3) immediate structures of care around ICU patients including clinician advocacy, care transitions, and readmission. Clinicians identified that discussing SDOH could allow them to recognize bias faced by their patients, elucidate drivers of critical illness, and navigate communication with patients caregivers. Clinicians worried about ICU-specific factors impeding the discussion of SDOH including time contraints and acuity, high stakes and emotions, and negative anticipatory emotions.

DISCUSSION

Clinicians gather SDOH during critical illness both to understand their patients' stories and provide individualized care, which may lead to better clinician satisfaction and patient- and family-centered care outcomes. Educational and operational efforts to increase SDOH assessment and use in critical care should also gather and integrate the perspectives of patients and caregivers regarding the collection and use of SDOH in the ICU.

Clinicians' Use of Choice Framing in ICU Family Meetings

OBJECTIVES

To quantify the frequency and patterns of clinicians' use of choice frames when discussing preference-sensitive care with surrogate decision-makers in the ICU.

DESIGN

Secondary sequential content analysis.

SETTING

One hundred one audio-recorded and transcribed conferences between surrogates and clinicians of incapacitated, critically ill adults from a prospective, multicenter cohort study.

SUBJECTS

Surrogate decision-makers and clinicians.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Four coders identified preference-sensitive decision episodes addressed in the meetings, including topics such as mechanical ventilation, renal replacement, and overall goals of care. Prior critical care literature provided specific topics identified as preference-sensitive specific to the critical care context. Coders then examined each decision episode for the types of choice frames used by clinicians. The choice frames were selected a priori based on decision science literature. In total, there were 202 decision episodes across the 101 transcripts, with 20.3% of the decision episodes discussing mechanical ventilation, 19.3% overall goals of care, 14.4% renal replacement therapy, 14.4% post-discharge care (i.e., discharge location such as a skilled nursing facility), and the remaining 32.1% other topics. Clinicians used default framing, in which an option is presented that will be carried out if another option is not actively chosen, more frequently than any other choice frame (127 or 62.9% of decision episodes). Clinicians presented a polar interrogative, or a "yes or no question" to accept or reject a specific care choice, in 43 (21.3%) decision episodes. Clinicians more frequently presented options emphasizing both potential losses and gains rather than either in isolation.

CONCLUSIONS

Clinicians frequently use default framing and polar questions when discussing preference-sensitive choices with surrogate decision-makers, which are known to be powerful nudges. Future work should focus on designing interventions promoting the informed use of these and the other most common choice frames used by practicing clinicians.

Youth Caregivers of Adults in the United States: Prevalence and the Association Between Caregiving and Education

A growing proportion of individuals adopt family caregiving roles. Family caregivers are the primary providers of long-term care in the United States yet limited federal policy supports exist, despite the known negative impacts of caregiving. There is also limited information about the prevalence of youth/young adult caregivers and the impacts of caregiving at formative ages in the United States. Our objective is to estimate the prevalence of youth caregivers and examine the association of caregiving with educational investments. We use the American Time Use Survey (2013-2019) to identify and describe youth caregivers (aged 15-18) and young adult caregivers (aged 19-22) and compare them with non-caregiving peers. We estimate that there are approximately 1,623,000 youth caregivers and 1,986,000 young adult caregivers, corresponding to 9.2% and 12.7% of these age groups, respectively. However, there is a wide range in the estimated prevalence per year, from approximately 364,000 to 2.8 million youth caregivers and from 353,000 to 2.2 million young adult caregivers, depending on caregiver definition. Unlike adult caregivers, we find that young men and women were nearly equally likely to provide care. We also find that non-White individuals are disproportionately represented as youth caregivers. Compared with non-caregiving peers, both youth and young adult caregivers are less likely to be enrolled in school and, among those enrolled in school, spend significantly less time on educational activities. Considering the association of caregiving among youth/young adults and education, policies supporting youth and young adult caregivers are critical.

Integrating Social Determinants of Health in Critical Care

BACKGROUND

Social determinants of health (SDOHs) mediate outcomes of critical illness. Increasingly, professional organizations recommend screening for social risks. Yet, how clinicians should identify and then incorporate SDOHs into acute care practice is poorly defined.

RESEARCH QUESTION

How do medical ICU clinicians currently operationalize SDOHs within patient care, given that SDOHs are known to mediate outcomes of critical illness?

STUDY DESIGN AND METHODS

Using ethnographic methods, we observed clinical work rounds in three urban ICUs within a single academic health system to capture use of SDOHs during clinical care. Adults admitted to the medical ICU with respiratory failure were enrolled prospectively sequentially. Observers wrote field notes and narrative excerpts from rounding observations. We also reviewed electronic medical record documentation for up to 90 days after ICU admission. We then qualitatively coded and triangulated data using a constructivist grounded theory approach and the Centers for Disease Control and Prevention Healthy People SDOHs framework.

RESULTS

Sixty-six patients were enrolled and > 200 h of observation of clinical work rounds were included in the analysis. ICU clinicians infrequently integrated social structures of patients' lives into their discussions. Social structures were invoked most frequently when related to: (1) causes of acute respiratory failure, (2) decisions regarding life-sustaining therapies, and (3) transitions of care. Data about common SDOHs were not collected in any systematic way (eg, food and housing insecurity), and some SDOHs were discussed rarely or never (eg, access to education, discrimination, and incarceration).

INTERPRETATION

We found that clinicians do not incorporate many areas of known SDOHs into ICU rounds. Improvements in integration of SDOHs should leverage the multidisciplinary team, identifying who is best suited to collect information on SDOHs during different time points in critical illness. Next steps include clinician-focused, patient-focused, and caregiver-focused assessments of feasibility and acceptability of an ICU-based SDOHs assessment.

Nudging During Pediatric Intensive Care Conferences With Family Members: Retrospective Analysis of Transcripts From a Single-Center, 2015-2019

OBJECTIVES

Nudging, a behavioral economics concept, subtly influences decision-making without coercion or limiting choice. Despite its frequent use, the specific application of nudging techniques by clinicians in shared decision-making (SDM) is understudied. Our aim was to analyze clinicians' use of nudging in a curated dataset of family care conferences in the PICU.

DESIGN

Between 2019 and 2020, we retrospectively studied and coded 70 previously recorded care conference transcripts that involved physicians and families from 2015 to 2019. We focused on decision-making discussions examining instances of nudging, namely salience, framing, options, default, endowment, commission, omission, recommend, expert opinion, certainty, and social norms. Nudging instances were categorized by decision type, including tracheostomy, goals of care, or procedures.

SETTING

Single-center quaternary pediatric facility with general and cardiac ICUs.

PATIENTS

None.

INTERVENTIONS

None.

MEASUREMENTS

We assessed the pattern and frequency of nudges in each transcript.

MAIN RESULTS

Sixty-three of the 70 transcripts contained SDM episodes. These episodes represented a total of 11 decision categories based on the subject matter of nudging instances, with 308 decision episodes across all transcripts (median [interquartile range] 5 [4-6] per conference). Tracheostomy was the most frequently discussed decision. A total of 1096 nudging instances were identified across the conferences, with 8 (6-10) nudge types per conference. The most frequent nudging strategy used was gain frame (203/1096 [18.5%]), followed by loss frame (150/1096 [13.7%]).

CONCLUSIONS

Nudging is routinely employed by clinicians to guide decision-making, primarily through gain or loss framing. This retrospective analysis aids in understanding nudging in care conferences: it offers insight into potential risks and benefits of these techniques; it highlights ways in which their application has been used by caregivers; and it may be a resource for future trainee curriculum development.

Self-identified rurality in a nationally representative population in the US

INTRODUCTION

In the US, health services research most often relies on Rural-Urban Commuting Area (RUCA) classification codes to measure rurality. This measure is known to misrepresent rurality and does not rely on individual experiences of rurality associated with healthcare inequities. We aimed to determine a patient-centered RUCA-based definition of rurality.

METHODS

In this cross-sectional study, we conducted an online survey asking US residents, 'Do you live in a rural area?' and the rationale for their answer. We evaluated the concordance between their self-identified rurality and their ZIP code-derived RUCA designation of rurality by calculating Cohen's kappa (κ) statistic and percent agreement.

RESULTS

Of the 774 participants, 456 (58.9%) and 318 (41.1%) individuals had conventional urban and rural RUCA classifications, respectively. There was only moderate agreement between perceived rurality and rural RUCA classification (κ=0.48; 95% confidence interval (CI)=0.42-0.54). Among people living within RUCA 2-3 defined urban areas (n=51), percent agreement was only 19.6%. Discordance was driven by their perception of the population density, proximity to the nearest neighbor, proximity to a metropolitan area, and the number of homes in their area. Based on our results, we reclassified RUCA 2-3 designations as rural, resulting in an increase in overall concordance (κ=0.56; 95%CI=0.50-0.62).

DISCUSSION

Patient-centered rural-urban classification is required to effectively evaluate the impact of rurality on health disparities. This study presents a more patient-centric RUCA-based classification of rurality that can be easily operationalized in future research in situations in which self-reported rural status is missing or challenging to obtain.

CONCLUSION

Reclassification of RUCA 2-3 as rural represents a more patient-centric definition of rurality.

Education for Tobacco Use Disorder Treatment: Current State, Evidence, and Unmet Needs

Background

Tobacco use is undertreated in the medical setting. One driver may be inadequate tobacco use disorder treatment (TUDT) training for clinicians in specialties treating tobacco-dependent patients.

Objective

We sought to evaluate the current state of TUDT training for diverse professionals and how these skills are assessed in credentialing exams.

Methods

We performed a focused review of current educational practices, evidence-based strategies, and accreditation exam contents focused on TUDT.

Results

Among medical students, participants in reviewed studies reported anywhere from 45 minutes to 3 hours of TUDT training throughout their 4-year programs, most often in the form of didactic sessions. Similarly, little TUDT training was reported at the post-graduate (residency, fellowship, continuing medical education) levels, and reported training was typically delivered as time-based (expected hours of instruction) rather than competency-based (demonstration of mastery) learning. Multiple studies evaluated effective TUDT curricula at varied stages of training. More effective curricula incorporated longitudinal sessions and active learning, such as standardized patient encounters or proctored patient visits. Knowledge of TUDT is minimally evaluated on certification exams. For example, the American Board of Internal Medicine blueprint lists TUDT as <2% of one subtopic on both the internal medicine and pulmonary exams.

Conclusion

TUDT training for most clinicians is minimal, does not assess competency, and is minimally evaluated on certification exams. Effective, evidence-based TUDT training incorporating active learning should be integrated into medical education at all levels, with attention paid to inclusion on subsequent certifying exams.

Accuracy of Expected Symptoms and Subsequent Quality of Life Measures Among Adults With COPD

Importance

Patients' expectations for future health guide their decisions and enable them to prepare, adapt, and cope. However, little is known about how inaccurate expectations may affect patients' illness outcomes.

Objective

To assess the association between patients' expectation inaccuracies and health-related quality of life.

Design, Setting, and Participants

This cohort study of patients with severe chronic obstructive pulmonary disease (COPD) was conducted from 2017 to 2021, which included a 24-month follow-up period. Eligible participants received outpatient primary care at pulmonary clinics of a single large US health system. Data were analyzed between 2021 and 2023.

Exposure

Expectation accuracy, measured by comparing patients' self-reported expectations of their symptom burden with their actual physical and emotional symptoms 3, 12, and 24 months in the future.

Main Outcome and Measure

Health-related quality of life, measured by the St George's Respiratory Questionnaire-COPD at 3, 12, and 24 months.

Results

A total of 207 participants were included (median age, 65.5 years [range, 42.0-86.0 years]; 120 women [58.0%]; 118 Black [57.0%], 79 White [38.2%]). The consent rate among approached patients was 80.0%. Most patients reported no or only limited discussions of future health and symptom burdens with their clinicians. Across physical and emotional symptoms and all 3 time points, patients' expectations were more optimistic than their experiences. There were no consistent patterns of measured demographic or behavioral characteristics associated with expectation accuracy. Regression models revealed that overoptimistic expectations of future burdens of dyspnea (linear regression estimate, 4.68; 95% CI, 2.68 to 6.68) and negative emotions (linear regression estimate, -3.04; 95% CI, -4.78 to 1.29) were associated with lower health-related quality of life at 3 months after adjustment for baseline health-related quality of life, forced expiratory volume over 1 second, and interval clinical events (P < .001 for both). Similar patterns were observed at 12 months (dyspnea: linear regression estimate, 2.41; 95% CI, 0.45 to 4.37) and 24 months (negative emotions: linear regression estimate, -2.39; 95% CI, -4.67 to 0.12; dyspnea: linear regression estimate, 3.21; 95% CI, 0.82 to 5.60), although there was no statistically significant association between expectation of negative emotions and quality of life at 12 months.

Conclusions and Relevance

In this cohort study of patients with COPD, we found that patients are overoptimistic in their expectations about future negative symptom burdens, and such inaccuracies were independently associated with worse well-being over time. Developing and implementing strategies to improve patients' symptom expectations may improve patient-centered outcomes.

Associations of Race With Sedation Depth Among Mechanically Ventilated Adults: A Retrospective Cohort Study

OBJECTIVES

To evaluate the association of race with proportion of time in deep sedation among mechanically ventilated adults.

DESIGN

Retrospective cohort study from October 2017 to December 2019.

SETTING

Five hospitals within a single health system.

PATIENTS

Adult patients who identified race as Black or White who were mechanically ventilated for greater than or equal to 24 hours in one of 12 medical, surgical, cardiovascular, cardiothoracic, or mixed ICUs.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The exposure was White compared with Black race. The primary outcome was the proportion of time in deep sedation during the first 48 hours of mechanical ventilation, defined as Richmond Agitation-Sedation Scale values of -3 to -5. For the primary analysis, we performed mixed-effects linear regression models including ICU as a random effect, and adjusting for age, sex, English as preferred language, body mass index, Elixhauser comorbidity index, Laboratory-based Acute Physiology Score, Version 2, ICU admission source, admission for a major surgical procedure, and the presence of septic shock. Of the 3337 included patients, 1242 (37%) identified as Black, 1367 (41%) were female, and 1002 (30%) were admitted to a medical ICU. Black patients spent 48% of the first 48 hours of mechanical ventilation in deep sedation, compared with 43% among White patients in unadjusted analysis. After risk adjustment, Black race was significantly associated with more time in early deep sedation (mean difference, 5%; 95% CI, 2-7%; p < 0.01).

CONCLUSIONS

There are disparities in sedation during the first 48 hours of mechanical ventilation between Black and White patients across a diverse set of ICUs. Future work is needed to determine the clinical significance of these findings, given the known poorer outcomes for patients who experience early deep sedation.

Comparing Smoking Cessation Interventions among Underserved Patients Referred for Lung Cancer Screening: A Pragmatic Trial Protocol

Smoking burdens are greatest among underserved patients. Lung cancer screening (LCS) reduces mortality among individuals at risk for smoking-associated lung cancer. Although LCS programs must offer smoking cessation support, the interventions that best promote cessation among underserved patients in this setting are unknown. This stakeholder-engaged, pragmatic randomized clinical trial will compare the effectiveness of four interventions promoting smoking cessation among underserved patients referred for LCS. By using an additive study design, all four arms provide standard "ask-advise-refer" care. Arm 2 adds free or subsidized pharmacologic cessation aids, arm 3 adds financial incentives up to $600 for cessation, and arm 4 adds a mobile device-delivered episodic future thinking tool to promote attention to long-term health goals. We hypothesize that smoking abstinence rates will be higher with the addition of each intervention when compared with arm 1. We will enroll 3,200 adults with LCS orders at four U.S. health systems. Eligible patients include those who smoke at least one cigarette daily and self-identify as a member of an underserved group (i.e., is Black or Latinx, is a rural resident, completed a high school education or less, and/or has a household income <200% of the federal poverty line). The primary outcome is biochemically confirmed smoking abstinence sustained through 6 months. Secondary outcomes include abstinence sustained through 12 months, other smoking-related clinical outcomes, and patient-reported outcomes. This pragmatic randomized clinical trial will identify the most effective smoking cessation strategies that LCS programs can implement to reduce smoking burdens affecting underserved populations. Clinical trial registered with clinicaltrials.gov (NCT04798664). Date of registration: March 12, 2021. Date of trial launch: May 17, 2021.

Stakeholders' Views on Reducing Psychological Distress in Chronic Obstructive Pulmonary Disease

CONTEXT

Psychological distress is highly prevalent among patients with chronic obstructive pulmonary disease (COPD), the top palliative care priority identified by such patients, and associated with poor outcomes. However, patients with COPD rarely receive care for psychological distress.

OBJECTIVES

To identify the barriers and opportunities to reducing psychological distress among patients with COPD in the specialty pulmonary setting.

METHODS

We conducted semi-structured interviews based on Consolidated Framework for Implementation Research constructs with key stakeholders at two pulmonary clinics, including clinicians, staff, patients, and caregivers. We focused on the relevance, identification, and management of psychological distress in COPD care. We identified emergent patterns and concepts, developed and applied codes to the text, and examined the content in each code to identify key themes.

RESULTS

Thirty-one stakeholders participated in interviews (RR=64.6%). Nearly all pulmonary clinicians felt that psychological well-being was a critical, unmet patient need. Yet, most pulmonary clinicians reported that they lacked sufficient training and available resources to support patients, prioritized physical symptoms and medication management over emotional concerns, and perceived limited cultural support for such efforts in the pulmonary clinic setting. Patient and caregiver participants desired integration and prioritization of care addressing psychological distress into routine pulmonary care.

CONCLUSION

Mitigating psychological distress is a palliative care priority in COPD. Integrating efficient, effective resources, such as tools or programs that address psychological distress, into pulmonary clinic settings serving a high volume of patients with COPD may improve the provision of supportive care to patients typically underserved by specialty palliative care.

Family Presence for Critically Ill Patients During a Pandemic

Family engagement is a key component of high-quality critical care, with known benefits for patients, care teams, and family members themselves. The COVID-19 pandemic led to rapid enactment of prohibitions or restrictions on visitation that now persist, particularly for patients with COVID-19. Reevaluation of these policies in response to advances in knowledge and resources since the early pandemic is critical because COVID-19 will continue to be a public health threat for months to years, and future pandemics are likely. This article reviews rationales and evidence for restricting or permitting family members' physical presence and provides broad guidance for health care systems to develop and implement policies that maximize benefit and minimize risk of family visitation during COVID-19 and future similar public health crises.

Family-Centered Care During the COVID-19 Era

Family support is more, not less, important during crisis. However, during the COVID-19 pandemic, maintaining public safety necessitates restricting the physical presence of families for hospitalized patients. In response, health systems must rapidly adapt family-centric procedures and tools to circumvent restrictions on physical presence. Strategies for maintaining family integrity must acknowledge clinicians' limited time and attention to devote to learning new skills. Internet-based solutions can facilitate the routine, predictable, and structured communication, which is central to family-centered care. But the reliance on technology may compromise patient privacy and exacerbate racial, socioeconomic, and geographic disparities for populations that lack access to reliable internet access, devices, or technological literacy. We provide a toolbox of strategies for supporting family-centered inpatient care during physical distancing responsive to the current clinical climate. Innovations in the implementation of family involvement during hospitalizations may lead to long-term progress in the delivery of family-centered care.

Preferences for Predictive Model Characteristics among People Living with Chronic Lung Disease: A Discrete Choice Experiment

Background. Patients may find clinical prediction models more useful if those models accounted for preferences for false-positive and false-negative predictive errors and for other model characteristics. Methods. We conducted a discrete choice experiment to compare preferences for characteristics of a hypothetical mortality prediction model among community-dwelling patients with chronic lung disease recruited from 3 clinics in Philadelphia. This design was chosen to allow us to quantify "exchange rates" between different characteristics of a prediction model. We provided previously validated educational modules to explain model attributes of sensitivity, specificity, confidence intervals (CI), and time horizons. Patients reported their interest in using prediction models themselves or having their physicians use them. Patients then chose between 2 hypothetical prediction models each containing varying levels of the 4 attributes across 12 tasks. Results. We completed interviews with 200 patients, among whom 95% correctly chose a strictly dominant model in an internal validity check. Patients' interest in predictive information was high for use by themselves (n = 169, 85%) and by their physicians (n = 184, 92%). Interest in maximizing sensitivity and specificity were similar (0.88 percentage points of specificity equivalent to 1 point of sensitivity, 95% CI 0.72 to 1.05). Patients were willing to accept a reduction of 6.10 months (95% CI 3.66 to 8.54) in the predictive time horizon for a 1% increase in specificity. Discussion. Patients with chronic lung disease can articulate their preferences for the characteristics of hypothetical mortality prediction models and are highly interested in using such models as part of their care. Just as clinical care should become more patient centered, so should the characteristics of predictive models used to guide that care.

Effect of Intensivist Communication in a Simulated Setting on Interpretation of Prognosis Among Family Members of Patients at High Risk of Intensive Care Unit Admission: A Randomized Trial

Importance

Discordance about prognosis between a patient's health care decision-making surrogate and the treating intensivist is common in the intensive care unit (ICU). Empowering families, friends, and caregivers of patients who are critically ill to make informed decisions about care is important, but it is unclear how best to communicate prognostic information to surrogates when a patient is expected to die.

Objective

To determine whether family members, who are often health care decision-making surrogates, interpret intensivists as being more optimistic when questions about prognosis in the ICU are answered indirectly.

Design, Setting, and Participants

This web-based randomized trial was conducted between September 27, 2019, and October 17, 2019, among a national sample of adult children, spouses, partners, or siblings of people with chronic obstructive pulmonary disease who were receiving long-term oxygen therapy. Participants were shown video vignettes depicting an intensivist answering a standardized question about the prognosis of a patient at high risk of death on day 3 of ICU admission. Participants were excluded if they had worked as a physician, nurse, or advanced health care practitioner. Data were analyzed from October 18, 2019, to November 12, 2019.

Interventions

Participants were randomized to view 1 of 4 intensivist communication styles in response to the question "What do you think is most likely to happen?": (1) a direct response (control), (2) an indirect response comparing the patient's condition with that of other patients, (3) an indirect response describing the patient's deteriorating physiological condition, or (4) redirection to a discussion of the patient's values and goals.

Main Outcomes and Measures

Participant responses to 2 questions: (1) "If you had to guess, what do you think the doctor thinks is the chance that your loved one will survive this hospitalization?" and (2) "What do you think are the chances that your loved one will survive this hospitalization?" answered using a 0% to 100% probability scale.

Results

Among 302 participants (median [interquartile range] age, 49 [38-59] years; 204 [68%] women) included in the trial, 165 (55%) were adult children of the individual with chronic obstructive pulmonary disease; 77 participants were randomized to view a direct response, 77 participants were randomized to view an indirect response referencing other patients, 68 participants were randomized to view an indirect response referencing physiological condition, and 80 participants were randomized to view a redirection response. Compared with participants who viewed a direct response, participants who viewed an indirect response referencing other patients (β = 10 [95% CI, 1-19]; P = .03), physiological condition (β = 10 [95% CI, 0-19]; P = .04), or redirection to a discussion of the patient's values and goals (β = 19 [95% CI, 10-28]; P < .001) perceived the intensivist to have a significantly more optimistic prognostic estimate.

Conclusions and Relevance

These findings suggest that family members interpret indirect or redirection responses to questions about prognosis in the ICU setting as more optimistic than direct responses.

Trial Registration

ClinicalTrials.gov Identifier: NCT04239209.

What's behind the white coat: Potential mechanisms of physician-attributable variation in critical care

Background

Critical care intensity is known to vary across regions and centers, yet the mechanisms remain unidentified. Physician behaviors have been implicated in the variability of intensive care near the end of life, but physician characteristics that may underlie this association have not been determined.

Purpose

We sought to identify behavioral attributes that vary among intensivists to generate hypotheses for mechanisms of intensivist-attributable variation in critical care delivery.

Methods

We administered a questionnaire to intensivists who participated in a prior cohort study in which intensivists made prognostic estimates. We evaluated the degree to which scores on six attribute measures varied across intensivists. Measures were selected for their relevance to preference-sensitive critical care: a modified End-of-Life Preferences (EOLP) scale, Life Orientation Test–Revised (LOT-R), Jefferson Scale of Empathy (JSE), Physicians' Reactions to Uncertainty (PRU) scale, Collett-Lester Fear of Death (CLFOD) scale, and a test of omission bias. We conducted regression analyses assessing relationships between intensivists’ attribute scores and their prognostic accuracy, as physicians’ prognostic accuracy may influence preference-sensitive decisions.

Results

20 of 25 eligible intensivists (80%) completed the questionnaire. Intensivists’ scores on the EOLP, LOT-R, PRU, CLFOD, and omission bias measures varied considerably, while their responses on the JSE scale did not. There were no consistent associations between attribute scores and prognostic accuracy.

Conclusions

Intensivists vary in feasibly measurable attributes relevant to preference-sensitive critical care delivery. These attributes represent candidates for future research aimed at identifying mechanisms of clinician-attributable variation in critical care and developing effective interventions to reduce undue variation.

Global Sensitivity Analysis of High-Dimensional Neuroscience Models: An Example of Neurovascular Coupling

The complexity and size of state-of-the-art cell models have significantly increased in part due to the requirement that these models possess complex cellular functions which are thought-but not necessarily proven-to be important. Modern cell models often involve hundreds of parameters; the values of these parameters come, more often than not, from animal experiments whose relationship to the human physiology is weak with very little information on the errors in these measurements. The concomitant uncertainties in parameter values result in uncertainties in the model outputs or quantities of interest (QoIs). Global sensitivity analysis (GSA) aims at apportioning to individual parameters (or sets of parameters) their relative contribution to output uncertainty thereby introducing a measure of influence or importance of said parameters. New GSA approaches are required to deal with increased model size and complexity; a three-stage methodology consisting of screening (dimension reduction), surrogate modeling, and computing Sobol' indices, is presented. The methodology is used to analyze a physiologically validated numerical model of neurovascular coupling which possess 160 uncertain parameters. The sensitivity analysis investigates three quantities of interest, the average value of [Formula: see text] in the extracellular space, the average volumetric flow rate through the perfusing vessel, and the minimum value of the actin/myosin complex in the smooth muscle cell. GSA provides a measure of the influence of each parameter, for each of the three QoIs, giving insight into areas of possible physiological dysfunction and areas of further investigation.

Patients' Perspectives on Approaches to Facilitate Completion of Advance Directives

BACKGROUND

Little is understood about the different ways patients complete advance directives (ADs), which is most commonly through lawyers and increasingly using websites.

OBJECTIVE

To understand patients' perspectives on different approaches to facilitating AD completion, the value of legal regulation of ADs, and the use of a web-based platform to create an AD.

DESIGN

Semi-structured interviews with patients.

SETTING/PARTICIPANTS

We purposively sampled 25 patients at least 70 years of age or with a chronic disease from 2 internal medicine clinics.

MEASUREMENTS

Interviews focused on experiences and perspectives creating ADs, including facilitation by lawyers, health-care professionals, and websites. Feedback on a website prototype was also obtained. Responses were analyzed with modified grounded theory until thematic saturation was achieved.

RESULTS

Although a majority of participants with ADs had used lawyers, participants were ambivalent about the benefits of lawyer facilitation. Most valued both the medical perspective of a health-care professional and a lawyer's attention to legal requirements for AD validity. Participants had positive impressions of the web platform, but some were concerned about privacy with online storage. Trust emerged as an overarching theme, and participants valued legal regulation of ADs to ensure document authenticity and delivery of preference-concordant care.

CONCLUSION

Efforts to improve documentation of care planning need to address the disparate methods by which participants complete ADs. Creating options that combine the perceived benefits of a legal approach with greater health professional involvement could appeal to participants. Privacy concerns may limit web use by some patients.

Perspectives on using decision-making nudges in physician-patient communications

Patients engaging in shared decision making must weigh the likelihood of positive and negative outcomes and deal with uncertainty and negative emotions in the situations where desirable options might not be available. The use of "nudges," or communication techniques that influence patients' choices in a predictable direction, may assist patients in making complex decisions. However, nudging patients may be perceived as inappropriate influence on patients' choices. We sought to determine whether key stakeholders, physicians, and laypersons without clinical training consider the use of nudges to be ethical and appropriate in medical decision making. Eighty-nine resident-physicians and 336 Mechanical-Turk workers (i.e., non-clinicians) evaluated two hypothetical preference-sensitive situations, in which a patient with advanced cancer chooses between chemotherapy and hospice care. We varied the following: (1) whether or not the patient's decision was influenced by a mistaken judgment (i.e., decision-making bias) and (2) whether or not the physician used a nudge. Each participant reported the extent to which the communication was ethical, appropriate, and desirable. Both physicians and non-clinicians considered using nudges more positively than not using them, regardless of an initial decision-making bias in patients' considerations. Decomposing this effect, we found that physicians viewed the nudge that endorsed hospice care more favorably than the nudge that endorsed chemotherapy, while non-clinicians viewed the nudge that endorsed chemotherapy more favorably than the nudge that endorsed hospice care. We discuss implications and propose exploring further physicians' and patients' differences in the perception of nudges; the differences may suggest limitations for using nudges in medical decisions.

Numeracy and Understanding of Quantitative Aspects of Predictive Models: A Pilot Study

BACKGROUND

The assessment of user preferences for performance characteristics of patient-oriented clinical prediction models is lacking. It is unknown if complex statistical aspects of prediction models are readily understandable by a general audience.

OBJECTIVE

A pilot study was conducted among nonclinical audiences to determine the feasibility of interpreting statistical concepts that describe the performance of prediction models.

METHODS

We conducted a cross-sectional electronic survey using the Amazon Mechanical Turk platform. The survey instrument included educational modules about predictive models, sensitivity, specificity, and confidence intervals (CIs). Follow-up questions tested participants' abilities to interpret these characteristics with both verbatim and gist knowledge. Objective and subjective numeracy were assessed using previously validated instruments. We also tested understanding of these concepts when embedded in a sample discrete choice experiment task to establish feasibility for future elicitation of preferences using a discrete choice experiment design. Multivariable linear regression was used to identify factors associated with correct interpretation of statistical concepts.

RESULTS

Among 534 respondents who answered all nine questions, the mean correct responses was 95.9% (95% CI, 93.8-97.4) for sensitivity, 93.1% (95% CI, 90.5-95.0) for specificity, and 86.6% (95% CI, 83.3-89.3) for CIs. Verbatim interpretation was high for all concepts, but significantly higher than gist only for CIs (p < 0.001). Scores on each discrete choice experiment tasks were slightly lower in each category. Both objective and subjective numeracy were positively associated with an increased proportion of correct responses (p < 0.001).

CONCLUSION

These results suggest that a nonclinical audience can interpret quantitative performance measures of predictive models with very high accuracy. Future development of patient-facing clinical prediction models can feasibly incorporate patient preferences for model features into their development.