Place of Death Before and During the COVID-19 Pandemic.

This quality improvement study examines the national and ongoing impact of the COVID-19 pandemic with the place of death among individuals in the US.

Education About Specialty Palliative Care Among Nonhealthcare Workers: A Systematic Review.

CONTEXT: Despite the expansion of palliative care (PC) services, the public has little knowledge and holds misperceptions about PC, creating barriers to accessing timely specialty PC. OBJECTIVES: To systematically review the evidence regarding the efficacy of educational interventions to improve knowledge and attitudes about PC among nonhealthcare workers. METHODS: We searched five databases (PubMed/MEDLINE, Embase, CIANHL, Web of Science, and Scopus) for studies investigating educational interventions about specialty PC in adults who identified as patients, caregivers, or members of the public. We included studies that were available in English and had a comparator group. We excluded studies that only sampled health professionals or children. We used the Mixed Methods Appraisal Tool to assess quality and risk of bias. RESULTS: Of 12,420 records identified, we screened 5948 abstracts and assessed 526 full texts for eligibility. Twenty-one articles were extracted for analysis, representing 20 unique educational interventions. Common methodologies included quasi-experimental (9, 45%), randomized controlled trial (4, 20%), and nonrandomized trial (2, 10%). Common components of the educational interventions included video presentations (9, 45%), written materials (8, 40%), and lectures (4, 20%). Content included definition (14, 70%) and philosophy (14, 70%) of PC, distinctions between PC and hospice (11, 55%), and eligibility for PC (11, 55%). Fourteen (70%) interventions showed statistically significant positive differences in either knowledge or attitudes about PC. CONCLUSIONS: While educational interventions can positively impact knowledge and attitudes about PC among nonhealthcare workers, more research is needed to inform the design, delivery, and evaluation of interventions to increase knowledge and attitudes about PC.

"No Escalation of Treatment" Designations: A Multi-institutional Exploratory Qualitative Study.

BACKGROUND: No Escalation of Treatment (NoET) designations are used in ICUs internationally to limit treatment for critically ill patients. However, they are the subject of debate in the literature and have not been qualitatively studied. RESEARCH QUESTION: How do physicians understand and perceive NoET designations, especially regarding their usefulness and associated challenges? What mechanisms do hospitals provide to facilitate the use of NoET designations? STUDY DESIGN AND METHODS: Qualitative study at seven US hospitals, employing semistructured interviews with 30 physicians and review of relevant institutional records (eg, hospital policies, screenshots of ordering menus in the electronic health record). RESULTS: At all hospitals, participants reported the use of NoET designations, which were understood to mean that providers should withhold new or higher-intensity interventions ("escalations") but not withdraw ongoing interventions. Three hospitals provided a specific mechanism for designating a patient as NoET (eg, a DNR/Do Not Escalate code status order); at the remaining hospitals, a variety of informal methods (eg, verbal hand-offs) were used. We identified five functions of NoET designations: (1) Defining an intermediate point of treatment limitation, (2) helping physicians navigate prearrest clinical decompensations, (3) helping surrogate decision-makers transition toward comfort care, (4) preventing patient harm from invasive measures, and (5) conserving critical care resources. Across hospitals, participants reported implementation challenges related to the ambiguity in meaning of NoET designations. INTERPRETATION: Despite ongoing debate, NoET designations are used in a varied sample of hospitals and are perceived as having multiple functions, suggesting they may fulfill an important need in the care of critically ill patients, especially at the end of life. The use of NoET designations can be improved through the implementation of a formal mechanism that encourages consistency across providers and clarifies the meaning of "escalation" for each patient.

Top Ten Tips Palliative Care Clinicians Should Know About Their Work's Intersection with Clinical Ethics.

Palliative care (PC) subspecialists and clinical ethics consultants often engage in parallel work, as both function primarily as interprofessional consultancy services called upon in complex clinical scenarios and challenging circumstances. Both practices utilize active listening, goals-based communication, conflict mediation or mitigation, and values explorations as care modalities. In this set of tips created by an interprofessional team of ethicists, intensivists, a surgeon, an attorney, and pediatric and adult PC nurses and physicians, we aim to describe some paradigmatic clinical challenges for which partnership may improve collaborative, comprehensive care.

"Relax City Homecare team; protocols are ready for you" - A Quality Improvement Project Conducted on Behalf of the City Homecare Unit Team at the Trivandrum Institute of Palliative Sciences.

CONTEXT: The city homecare unit (CHU) of the Trivandrum Institute of Palliative Sciences was dissatisfied with the quality of care provided to their patient population. AIMS: This study aims to improve the average satisfaction score of CHU during their daily homecare services. SETTINGS AND DESIGN: The improvement project for the CHU activities was conducted with a prospective plan-do-study-act design, with stepwise application of improvement tools. MATERIALS AND METHODS: The A3 quality improvement (QI) methodology, which uses tools for (i) analysing contributors (process mapping, cause-effect diagram); (ii) to derive key drivers (Pareto chart) and (iii) for measuring impact of interventions and sustainability (annotated run chart) was applied. The project was conducted as a mentored activity of the PC-PAICE program. The team's weekly average satisfaction score was recorded prospectively as the outcome parameter, with 0 representing total dissatisfaction and 10 representing total satisfaction. Accuracy of triaging and appropriateness of registration process were the process parameters selected. These were recorded as run charts across the project period of 9 months. ANALYSIS AND RESULTS: The cause-effect tool and the impact effort tool were used to analyse the mapped CHU processes. Even though we identified 22 contributors to the problem, eight of them were found to be significant. Key drivers were determined based on these eight and applied to the CHU processes. Over the project period, the satisfaction scores of the CHU improved significantly from 5.82 to 7.6 that is, satisfaction levels were high on most days. The triaging and registration goals were achieved. The team also built its own capacity for QI. CONCLUSION: The application of the A3 methodology simplified and streamlined efforts and achieved the quality goal for the CHU team.

The Palliative Care-Promoting Access and Improvement of the Cancer Experience (PC-PAICE) Project in India: A Multisite International Quality Improvement Collaborative.

Mentors at seven U.S. and Australian academic institutions initially partnered with seven leading Indian academic palliative care and cancer centers in 2017 to undertake a program combining remote and in-person mentorship, didactic instruction, and project-based learning in quality improvement (QI). From its inception in 2017 to 2020, the Palliative Care-Promoting Accesst and Improvement of the Cancer Experience Program conducted three cohorts for capacity building of 22 Indian palliative care and cancer programs. Indian leadership established a Mumbai QI training hub in 2019 with philanthropic support. In 2020, the project which is now named Enable Quality, Improve Patient care - India (EQuIP-India) focuses on both palliative care and cancer teams. EQuIP-India now leads ongoing Indian national collaboratives and training in QI and is integrated into India's National Cancer Grid. Palliative Care-Promoting Accesst and Improvement of the Cancer Experience demonstrates a feasible model of international collaboration and capacity building in palliative care and cancer QI. It is one of the several networked and blended learning approaches with potential for rapid scaling of evidence-based practices.

Variation in the design of Do Not Resuscitate orders and other code status options: a multi-institutional qualitative study.

BACKGROUND: US hospitals typically provide a set of code status options that includes Full Code and Do Not Resuscitate (DNR) but often includes additional options. Although US hospitals differ in the design of code status options, this variation and its impacts have not been empirically studied. DESIGN AND METHODS: Multi-institutional qualitative study at 7 US hospitals selected for variability in geographical location, type of institution and design of code status options. We triangulated across three data sources (policy documents, code status ordering menus and in-depth physician interviews) to characterise the code status options available at each hospital. Using inductive qualitative methods, we investigated design differences in hospital code status options and the perceived impacts of these differences. RESULTS: The code status options at each hospital varied widely with regard to the number of code status options, the names and definitions of code status options, and the formatting and capabilities of code status ordering menus. DNR orders were named and defined differently at each hospital studied. We identified five key design characteristics that impact the function of a code status order. Each hospital's code status options were unique with respect to these characteristics, indicating that code status plays differing roles in each hospital. Physician participants perceived that the design of code status options shapes communication and decision-making practices about resuscitation and life-sustaining treatments, especially at the end of life. We identified four potential mechanisms through which this may occur: framing conversations, prompting decisions, shaping inferences and creating categories. CONCLUSIONS: There are substantive differences in the design of hospital code status options that may contribute to known variability in end-of-life care and treatment intensity among US hospitals. Our framework can be used to design hospital code status options or evaluate their function.

A framework for making predictive models useful in practice.

OBJECTIVE: To analyze the impact of factors in healthcare delivery on the net benefit of triggering an Advanced Care Planning (ACP) workflow based on predictions of 12-month mortality. MATERIALS AND METHODS: We built a predictive model of 12-month mortality using electronic health record data and evaluated the impact of healthcare delivery factors on the net benefit of triggering an ACP workflow based on the models' predictions. Factors included nonclinical reasons that make ACP inappropriate: limited capacity for ACP, inability to follow up due to patient discharge, and availability of an outpatient workflow to follow up on missed cases. We also quantified the relative benefits of increasing capacity for inpatient ACP versus outpatient ACP. RESULTS: Work capacity constraints and discharge timing can significantly reduce the net benefit of triggering the ACP workflow based on a model's predictions. However, the reduction can be mitigated by creating an outpatient ACP workflow. Given limited resources to either add capacity for inpatient ACP versus developing outpatient ACP capability, the latter is likely to provide more benefit to patient care. DISCUSSION: The benefit of using a predictive model for identifying patients for interventions is highly dependent on the capacity to execute the workflow triggered by the model. We provide a framework for quantifying the impact of healthcare delivery factors and work capacity constraints on achieved benefit. CONCLUSION: An analysis of the sensitivity of the net benefit realized by a predictive model triggered clinical workflow to various healthcare delivery factors is necessary for making predictive models useful in practice.

What If I Get Seriously Ill? A Virtual Workshop for Advance Care Planning During COVID-19.

The coronavirus disease 2019 has brought public attention to questions regarding the type of care individuals would want to receive in the event of becoming suddenly critically ill. Advance care planning (ACP) is one way to help individuals and families address these questions. However, social distancing, stay-at-home orders, and hospital visitor restrictions have raised new barriers to facilitating these conversations. Here, we describe the implementation and evaluation of a novel, public-facing, and two-part virtual ACP workshop. Participants were recruited through electronic communication, and evaluations were collected through surveys administered after each part of the workshop. We found that using a virtual format allowed us to reach a large and geographically diverse audience. Participants were likely to recommend the workshop to friends and family. There was no change in ACP engagement between the postsession surveys between the first and second parts of the workshop.

Thrombophilia testing in the inpatient setting: impact of an educational intervention.

BACKGROUND: Thrombophilia testing is frequently ordered in the inpatient setting despite its limited impact on clinical decision-making and unreliable results in the setting of acute thrombosis or ongoing anticoagulation. We sought to determine the effect of an educational intervention in reducing inappropriate thrombophilia testing for hospitalized patients. METHODS: During the 2014 academic year, we implemented an educational intervention with a phase implementation design for Internal Medicine interns at Stanford University Hospital. The educational session covering epidemiology, appropriate thrombophilia evaluation and clinical rationale behind these recommendations. Their ordering behavior was compared with a contemporaneous control (non-medicine and private services) and a historical control (interns from prior academic year). From the analyzed data, we determined the proportion of inappropriate thrombophilia testing of each group. Logistic generalized estimating equations were used to estimate odds ratios for inappropriate thrombophilia testing associated with the intervention. RESULTS: Of 2151 orders included, 934 were deemed inappropriate (43.4%). The two intervention groups placed 147 orders. A pooled analysis of ordering practices by intervention groups revealed a trend toward reduction of inappropriate ordering (p = 0.053). By the end of the study, the intervention groups had significantly lower rates of inappropriate testing compared to historical or contemporaneous controls. CONCLUSION: A brief educational intervention was associated with a trend toward reduction in inappropriate thrombophilia testing. These findings suggest that focused education on thrombophilia testing can positively impact inpatient ordering practices.

Promoting Shared Decision-Making Behaviors During Inpatient Rounds: A Multimodal Educational Intervention.

PURPOSE: To estimate the effectiveness of a multimodal educational intervention to increase use of shared decision-making (SDM) behaviors by inpatient pediatric and internal medicine hospitalists and trainees at teaching hospitals at Stanford University and the University of California, San Francisco. METHOD: The 8-week Patient Engagement Project Study intervention, delivered at four services between November 2014 and January 2015, included workshops, campaign messaging, report cards, and coaching. For 12-week pre- and postintervention periods, clinician peers used the nine-point Rochester Participatory Decision-Making Scale (RPAD) to evaluate rounding teams' SDM behaviors with patients during ward rounds. Eligible teams included a hospitalist and at least one trainee (resident, intern, medical student), in addition to nonphysicians. Random-effects models were used to estimate intervention effects based on RPAD scores that sum points on nine SDM behaviors per patient encounter. RESULTS: In total, 527 patient encounters were scored during 175 rounds led by 49 hospitalists. Patient and team characteristics were similar across pre- and postintervention periods. Improvement was observed on all nine SDM behaviors. Adjusted for the hierarchical study design and covariates, the mean RPAD score improvement was 1.68 points (95% CI, 1.33-2.03; P < .001; Cohen d = 0.82), with intervention effects ranging from 0.7 to 2.5 points per service. Improvements were associated with longer patient encounters and a higher percentage of trainees per team. CONCLUSIONS: The intervention increased behaviors supporting SDM during ward rounds on four independent services. The findings recommend use of clinician-focused interventions to promote SDM adoption in the inpatient setting.

Improving palliative care with deep learning.

BACKGROUND: Access to palliative care is a key quality metric which most healthcare organizations strive to improve. The primary challenges to increasing palliative care access are a combination of physicians over-estimating patient prognoses, and a shortage of palliative staff in general. This, in combination with treatment inertia can result in a mismatch between patient wishes, and their actual care towards the end of life. METHODS: In this work, we address this problem, with Institutional Review Board approval, using machine learning and Electronic Health Record (EHR) data of patients. We train a Deep Neural Network model on the EHR data of patients from previous years, to predict mortality of patients within the next 3-12 month period. This prediction is used as a proxy decision for identifying patients who could benefit from palliative care. RESULTS: The EHR data of all admitted patients are evaluated every night by this algorithm, and the palliative care team is automatically notified of the list of patients with a positive prediction. In addition, we present a novel technique for decision interpretation, using which we provide explanations for the model's predictions. CONCLUSION: The automatic screening and notification saves the palliative care team the burden of time consuming chart reviews of all patients, and allows them to take a proactive approach in reaching out to such patients rather then relying on referrals from the treating physicians.

Shared Decision-Making During Inpatient Rounds: Opportunities for Improvement in Patient Engagement and Communication.

BACKGROUND: Shared decision-making (SDM) improves patient engagement and may improve outpatient health outcomes. Little is known about inpatient SDM. OBJECTIVE: To assess overall quality, provider behaviors, and contextual predictors of SDM during inpatient rounds on medicine and pediatrics hospitalist services. DESIGN: A 12-week, cross-sectional, single-blinded observational study of team SDM behaviors during rounds, followed by semistructured patient interviews. SETTING: Two large quaternary care academic medical centers. PARTICIPANTS: Thirty-five inpatient teams (18 medicine, 17 pediatrics) and 254 unique patient encounters (117 medicine, 137 pediatrics). INTERVENTION: Observational study. MEASUREMENTS: We used a 9-item Rochester Participatory Decision-Making Scale (RPAD) measured team-level SDM behaviors. Same-day interviews using a modified RPAD assessed patient perceptions of SDM. RESULTS: Characteristics associated with increased SDM in the multivariate analysis included the following: service, patient gender, timing of rounds during patient's hospital stay, and amount of time rounding per patient (P < .05). The most frequently observed behaviors across all services included explaining the clinical issue and matching medical language to the patient's level of understanding. The least frequently observed behaviors included checking understanding of the patient's point of view, examining barriers to follow-through, and asking if the patient has any questions. Patients and guardians had substantially higher ratings for SDM quality compared to peer observers (7.2 vs 4.4 out of 9). CONCLUSIONS: Important opportunities exist to improve inpatient SDM. Team size, number of learners, patient census, and type of decision being made did not affect SDM, suggesting that even large, busy services can perform SDM if properly trained.

Update in Hospital Palliative Care: Symptom Management, Communication, Caregiver Outcomes, and Moral Distress.

BACKGROUND: Updated knowledge of the palliative care (PC) literature is needed to maintain competency and best address the PC needs of hospitalized patients. We critiqued the recent PC literature with the highest potential to impact hospital practice. METHODS: We reviewed articles published between January 2016 and December 2016, which were identified through a handsearch of leading journals and a MEDLINE search. The final 9 articles selected were determined by consensus based on scientific rigor, relevance to hospital medicine, and impact on practice. RESULTS: Key findings include the following: scheduled antipsychotics were inferior to a placebo for nonterminal delirium; a low-dose morphine was superior to a weak opioid for moderate cancer pain; methadone as a coanalgesic improved high-intensity cancer pain; many hospitalized patients on comfort care still receive antimicrobials; video decision aids improved the rates of advance care planning (ACP) and hospice use and decreased costs; standardized, PC-led intervention did not improve psychological outcomes in families of patients with a chronic critical illness; caregivers of patients surviving a prolonged critical illness experienced high and persistent rates of depression; people with non-normative sexuality or gender faced additional stressors with partner loss; and physician trainees experienced significant moral distress with futile treatments. CONCLUSIONS: Recent research provides important guidance for clinicians caring for hospitalized patients with serious illnesses, including symptom management, ACP, moral distress, and outcomes of critical illness.

The SDM 3 Circle Model: A Literature Synthesis and Adaptation for Shared Decision Making in the Hospital.

Patient engagement through shared decision-making (SDM) is increasingly seen as a key component for patient safety, patient satisfaction, and quality of care. Current SDM models do not adequately account for medical and environmental contexts, which may influence medical decisions in the hospital. We identified leading SDM models and reviews to inductively construct a novel SDM model appropriate for the inpatient setting. A team of medicine and pediatric hospitalists reviewed the literature to integrate core SDM concepts and processes and iteratively constructed a synthesized draft model. We then solicited broad SDM expert feedback on the draft model for validation and further refinement. The SDM 3 Circle Model identifies 3 core categories of variables that dynamically interact within an "environmental frame." The resulting Venn diagram includes overlapping circles for (1) patient/family, (2) provider/team, and (3) medical context. The environmental frame includes all external, contextual factors that may influence any of the 3 circles. Existing multistep SDM process models were then rearticulated and contextualized to illustrate how a shared decision might be made. The SDM 3 Circle Model accounts for important environmental and contextual characteristics that vary across settings. The visual emphasis generated by each "circle" and by the environmental frame direct attention to often overlooked interactive forces and has the potential to more precisely define, promote, and improve SDM. This model provides a framework to develop interventions to improve quality and patient safety through SDM and patient engagement for hospitalists.

A high value care curriculum for interns: a description of curricular design, implementation and housestaff feedback.

PURPOSE: Most residency programmes do not have a formal high value care curriculum. Our goal was to design and implement a multidisciplinary high value care curriculum specifically targeted at interns. DESIGN: Our curriculum was designed with multidisciplinary input from attendings, fellows and residents at Stanford. Curricular topics were inspired by the American Board of Internal Medicine's Choosing Wisely campaign, Alliance for Academic Internal Medicine, American College of Physicians and Society of Hospital Medicine. Our topics were as follows: introduction to value-based care; telemetry utilisation; lab ordering; optimal approach to thrombophilia work-ups and fresh frozen plasma use; optimal approach to palliative care referrals; antibiotic stewardship; and optimal approach to imaging for low back pain. Our curriculum was implemented at the Stanford Internal Medicine residency programme over the course of two academic years (2014 and 2015), during which 100 interns participated in our high value care curriculum. After each high value care session, interns were offered the opportunity to complete surveys regarding feedback on the curriculum, self-reported improvements in knowledge, skills and attitudinal module objectives, and quiz-based knowledge assessments. RESULTS: The overall survey response rate was 67.1%. Overall, the material was rated as highly useful on a 5-point Likert scale (mean 4.4, SD 0.6). On average, interns reported a significant improvement in their self-rated knowledge, skills and attitudes after the six seminars (mean improvement 1.6 points, SD 0.4 (95% CI 1.5 to 1.7), p<0.001). CONCLUSIONS: We successfully implemented a novel high value care curriculum that specifically targets intern physicians.

Psychiatric and Palliative Care in the Intensive Care Unit.

Palliative care is specialized medical care focused on patients with serious illness and their families. In the intensive care unit (ICU), palliative care encompasses core skills to support patients and their families throughout their ICU course and post-ICU stays. Psychiatric symptoms are common among patients approaching the end of life and require particular attention in the setting of sedating medications, typically used when patients require ventilators and other life-sustaining treatments. For patients with preexisting severe mental illness who have a concurrent serious medical illness, a palliative psychiatric approach can address complex symptom management and support ethical and value-based shared decision making.