Coaching to Bedside Shift Report and Its Correlation to Hospital Consumer Assessment of Healthcare Providers and Systems and Value-Based Purchasing Dimension Scores: A Multihospital Implementation Study.

OBJECTIVE: The objective of this multihospital study was to investigate how the intervention of coaching to bedside shift report (BSR) correlates with Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) outcomes and relates to Centers for Medicare and Medicaid Services (CMS) Hospital Value-Based Purchasing (VBP) Program points over a 4-year period (2017-2020) for an acute care hospital health system. BACKGROUND: Hospital leaders' responsibilities include intertwined areas of patient experience and fiscal accountability. Coaching to BSR is reported to have numerous benefits to the patient's experience. Published studies completed with hospital systems evaluating the intervention of coaching to BSR and how it correlated to patient experience and VBP are limited. METHODS: Coaching to BSR was implemented at 16 adult acute care hospitals. Patient-reported BSR rates were collected in tandem with HCAHPS for 4 years. Statistical correlations were assessed between patient-reported BSR and HCAHPS and consequential effect on VBP dimension scores. RESULTS: Coaching to BSR had a significant impact on top- and bottom-box "rate the hospital" HCAHPS scores at a system and hospital level. Value-based purchasing points and percentages increased over 2017-2020, potentially leading to lower CMS penalty claims over the period the BSR was implemented. CONCLUSIONS: Coaching is a key factor when creating a favorable patient experience. The implementation and sustainability of coaching to BSR may result in improved patient experience ratings and increase VBP point accumulation to hospital systems.

Ensuring Rapid Response Team Care Aligns With Patients' Limitations of Medical Therapy: A Quality Improvement Project.

BACKGROUND: Rapid response teams (RRTs) are designed to improve patient care during deterioration in clinical condition. LOCAL PROBLEM: Patients' desired limitations of medical therapy (LOMTs) were not documented or communicated to the RRT, and patients received care not aligned with their wishes. METHODS: A multidisciplinary team developed a process for improving documentation, communication of LOMTs, and care delivery on 3 medical cardiology units. The team implemented 3 Plan-Do-Study-Act (PDSA) cycles over 6 months. INTERVENTIONS: In cycle 1, team members taught the unit nurses, RRT members, and physicians to share LOMTs during handoff communications. Cycle 2 engaged case managers in LOMT documentation. In cycle 3, unit-based RRT simulation was conducted. RESULTS: All care delivered by the RRT aligned with the documented LOMTs. Documentation of LOMTs increased from 76% to 82.5% ( P = .014). CONCLUSIONS: Education, scripting, and simulation were successful strategies to ensure that care given during RRT events aligned with patients' wishes.

Exercise Stress Real-Time Cardiac Magnetic Resonance Imaging for Noninvasive Characterization of Heart Failure With Preserved Ejection Fraction: The HFpEF-Stress Trial.

BACKGROUND: Right heart catheterization using exercise stress is the reference standard for the diagnosis of heart failure with preserved ejection fraction (HFpEF) but carries the risk of the invasive procedure. We hypothesized that real-time cardiac magnetic resonance (RT-CMR) exercise imaging with pathophysiologic data at excellent temporal and spatial resolution may represent a contemporary noninvasive alternative for diagnosing HFpEF. METHODS: The HFpEF-Stress trial (CMR Exercise Stress Testing in HFpEF; URL: https://www.clinicaltrials.gov; Unique identifier: NCT03260621. URL: https://dzhk.de/; Unique identifier: DZHK-17) prospectively recruited 75 patients with echocardiographic signs of diastolic dysfunction and dyspnea on exertion (E/e'>8, New York Heart Association class ≥II) to undergo echocardiography, right heart catheterization, and RT-CMR at rest and during exercise stress. HFpEF was defined according to pulmonary capillary wedge pressure (≥15 mm Hg at rest or ≥25 mm Hg during exercise stress). RT-CMR functional assessments included time-volume curves for total and early (1/3) diastolic left ventricular filling, left atrial (LA) emptying, and left ventricular/LA long axis strain. RESULTS: Patients with HFpEF (n=34; median pulmonary capillary wedge pressure at rest, 13 mm Hg; at stress, 27 mm Hg) had higher E/e' (12.5 versus 9.15), NT-proBNP (N-terminal pro-B-type natriuretic peptide; 255 versus 75 ng/L), and LA volume index (43.8 versus 36.2 mL/m2) compared with patients with noncardiac dyspnea (n=34; rest, 8 mm Hg; stress, 18 mm Hg; P≤0.001 for all). Seven patients were excluded because of the presence of non-HFpEF cardiac disease causing dyspnea on imaging. There were no differences in RT-CMR left ventricular total and early diastolic filling at rest and during exercise stress (P≥0.164) between patients with HFpEF and noncardiac dyspnea. RT-CMR revealed significantly impaired LA total and early (P<0.001) diastolic emptying in patients with HFpEF during exercise stress. RT-CMR exercise stress LA long axis strain was independently associated with HFpEF (adjusted odds ratio, 0.657 [95% CI, 0.516-0.838]; P=0.001) after adjustment for clinical and imaging measures and emerged as the best predictor for HFpEF (area under the curve at rest 0.82 versus exercise stress 0.93; P=0.029). CONCLUSIONS: RT-CMR allows highly accurate identification of HFpEF during physiologic exercise and qualifies as a suitable noninvasive diagnostic alternative. These results will need to be confirmed in multicenter prospective research studies to establish widespread routine clinical use. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03260621. URL: https://dzhk.de/; Unique identifier: DZHK-17.

Improving PACU Throughput Using an Electronic Dashboard: A Quality Improvement Initiative.

PURPOSE: Patients boarding in a 14-bed postanesthesia care unit (PACU) impacted throughput in a large university hospital in West Virginia. The PACU and operating room (OR) boarder rate in 2019 was 12% (n = 1241) and 5% (n = 503), respectively. The purpose of this initiative was to improve PACU throughput by developing an efficient and evidence-based handoff communication process between the PACU and the medical-surgical floors. DESIGN: The design of the project was evidence-based quality improvement. METHODS: An interprofessional team created a nursing patient dashboard in the electronic medical record to be used during handoff communication between the PACU and medical-surgical floor nurses. The dashboard displayed real-time vital signs, patient history, medications, and laboratory results. When the patient met Aldrete score requirements for transfer, PACU nurses notified the floor that the patient was ready for transfer. After allowing 20 minutes for the floor nurse to view the dashboard, the PACU nurse and floor nurse spoke on the phone to discuss any outstanding questions. PACU and OR boarder rates were obtained from the electronic medical record 12 months before and after implementing the nursing patient dashboard. User feedback was gathered via plan-do-study-act cycles, posters, and interviews. FINDINGS: The electronic dashboard was a successful strategy to improve handoff communication between the PACU and receiving units. The dashboard was accepted by the staff with 70% (n = 24) of the comments being positive. A significant decrease in the number of PACU (χ2(1, n = 20,608) =122.63, P < .00001) and OR boarding (χ2 (1, n = 20,283) =14.55, P = .000136) of patients was found in the C-year compared to 2019. For patients who were boarded in the PACU, no significant difference in PACU delay duration was found (t(11) =1.49, P = .149) with the mean in 2019 of 166.96 (SD = 68.38) and the C-Year mean 132.84 (SD = 39.74). For patients who boarded in the OR, there was a significant difference (t(11) =15.590162, P <.00001) between groups for average duration of boarding with the mean in 2019 of 19.06 minutes (SD = 3.72) compared to 1.62 (SD = 1.1) in C-year. However, in July 2020 the PACU intermittently opened 2 flexible beds when the PACU was full, suggesting that OR boarding was not a reliable measure, but PACU boarding remained an accurate measure. CONCLUSIONS: The findings of this evidence-based quality improvement project demonstrated the usefulness of an electronic dashboard tool combined with verbal report to improve patient throughput by decreasing the number of patients boarding in the PACU.

Satisfaction and Technology Acceptance of Staff Regarding Use of Continuous Video Monitoring in Comparison With Sitters.

OBJECTIVE: The purpose of this study was to determine staff satisfaction and technology acceptance of continuous video monitoring (CVM) in comparison to sitters. BACKGROUND: Traditionally, sitters have been used to prevent falls in hospitals. Continuous video monitoring has emerged to reduce costs associated with sitters while maintaining safety. METHODS: A descriptive online survey using a modified version of the Technology Acceptance Model was used to gain insight on technology acceptance and satisfaction levels of clinical staff related to CVM. RESULTS: Only 12.73% found CVM to be as effective as sitters. Statistical significance was shown comparing sitters with CVM. A positive correlation was found with perceived ease of use and perceived usefulness of CVM. CONCLUSIONS: Understanding staff satisfaction and technology acceptance is imperative for nurse leaders and administration when implementing new technologies.

Clinical Practice Guideline: Safe Medication Use in the ICU.

OBJECTIVE: To provide ICU clinicians with evidence-based guidance on safe medication use practices for the critically ill. DATA SOURCES: PubMed, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, CINAHL, Scopus, and ISI Web of Science for relevant material to December 2015. STUDY SELECTION: Based on three key components: 1) environment and patients, 2) the medication use process, and 3) the patient safety surveillance system. The committee collectively developed Population, Intervention, Comparator, Outcome questions and quality of evidence statements pertaining to medication errors and adverse drug events addressing the key components. A total of 34 Population, Intervention, Comparator, Outcome questions, five quality of evidence statements, and one commentary on disclosure was developed. DATA EXTRACTION: Subcommittee members were assigned selected Population, Intervention, Comparator, Outcome questions or quality of evidence statements. Subcommittee members completed their Grading of Recommendations Assessment, Development, and Evaluation of the question with his/her quality of evidence assessment and proposed strength of recommendation, then the draft was reviewed by the relevant subcommittee. The subcommittee collectively reviewed the evidence profiles for each question they developed. After the draft was discussed and approved by the entire committee, then the document was circulated among all members for voting on the quality of evidence and strength of recommendation. DATA SYNTHESIS: The committee followed the principles of the Grading of Recommendations Assessment, Development, and Evaluation system to determine quality of evidence and strength of recommendations. CONCLUSIONS: This guideline evaluates the ICU environment as a risk for medication-related events and the environmental changes that are possible to improve safe medication use. Prevention strategies for medication-related events are reviewed by medication use process node (prescribing, distribution, administration, monitoring). Detailed considerations to an active surveillance system that includes reporting, identification, and evaluation are discussed. Also, highlighted is the need for future research for safe medication practices that is specific to critically ill patients.

The Impact of Restricted Clinical Experiences During a Pandemic on Newly Graduated Nurses' Experiences: A Descriptive Study.

A multihospital study examined the impact of restricted clinical opportunities during COVID-19 on newly graduated nurses' experiences, self-reported competence, and self-reported errors upon entry into a nurse residency program and at 6 months. Newly graduated nurses' experiences (n = 2,005) were described using comparative data from cohorts before and during restricted experiences across 22 hospitals; minimal differences were observed. Nursing professional development specialists can utilize this information when creating and sustaining transition-to-practice programs.

Beyond the Hot Comb: Updates in Epidemiology, Pathogenesis, and Treatment of Central Centrifugal Cicatricial Alopecia from 2011 to 2021.

Central centrifugal cicatricial alopecia (CCCA) is a form of scarring alopecia that predominantly affects middle-aged women of African descent. Recent data suggest a multifactorial etiology of CCCA that is influenced by environmental and genetic factors. Emerging evidence regarding the genetic basis of the condition may elucidate new therapies. While topical and intralesional steroids and tetracycline antibiotics are the mainstay of treatment, refractory cases may be considered for hair transplantation. Emerging therapies using platelet-rich plasma, botanical formulas, and cosmetic procedures have shown promising results for the future management of CCA. As recent notable advances in CCCA have been achieved, this review provides an update on the epidemiology, pathophysiology, and management of CCCA.

Disorders in Children.

Pediatric dermatoses can present at birth or develop over time. When managing dermatology conditions in children, caregiver involvement is important. Patients may have lesions that need to be monitored or need assistance with therapeutic administration. The following section provides a subset of pediatric dermatoses and notable points for presentation in skin of color patients. Providers need to be able to recognize dermatology conditions in patients of varying skin tones and provide therapies that address the condition and any associated pigmentary alterations.

Alopecia areata in underrepresented groups: preliminary analysis of the all of us research program.

Alopecia areata (AA) is an autoimmune condition characterized by patchy, nonscarring hair loss. Few studies of AA have adequately included participants from underrepresented groups when evaluating the burden of AA in the United States. We conducted a cross-sectional study of personal/demographic factors and AA using the ongoing All of Us (AoU) Research Program. AoU enrolls adults over 18 years either as direct volunteers or through participating Health Care Provider Organizations by prioritizing recruiting underrepresented groups. We linked data from surveys and electronic health records (EHRs) to estimate the prevalence of AA by race/ethnicity, physical disability, sexual orientation/gender identity (LGBTQIA +), income, and education. The latest AoU release (version 5) includes 329,038 participants. Average age was 51.8 years (standard deviation, SD 16.7), and 60.2% of participants were female. Of these, 251,597 (76.5%) had EHR data and 752 were diagnosed with AA (prevalence, 0.30%; 95% CI 0.28-0.32). We used multivariate logistic regression adjusted for age and other factors to estimate the odds ratio (OR) and 95% confidence intervals (CIs) for prevalence of AA. Compared to Whites, Blacks and Hispanics had higher odds of AA (OR, 1.72; 95% CI 1.39-2.11 and OR, 2.13; 95% CI 1.74-2.59, respectively). Lower odds of AA were observed in participants with less than a high school degree (OR, 0.80; 95% CI 0.59-1.08), household income ≤ $35,000 (OR, 0.67; 95% CI 0.54-0.83), and no health insurance (OR 0.35; 95% CI 0.20-0.56). In this diverse population of US adults, participants with skin of color had higher prevalence of AA. Lower prevalence of AA among individuals with lower education and income levels and those lacking health insurance may reflect limited access to dermatologic care and potentially higher levels of undiagnosed AA in these groups.

Engaging Multidisciplinary Clinical Users in the Design of an Artificial Intelligence-Powered Graphical User Interface for Intensive Care Unit Instability Decision Support.

BACKGROUND: Critical instability forecast and treatment can be optimized by artificial intelligence (AI)-enabled clinical decision support. It is important that the user-facing display of AI output facilitates clinical thinking and workflow for all disciplines involved in bedside care. OBJECTIVES: Our objective is to engage multidisciplinary users (physicians, nurse practitioners, physician assistants) in the development of a graphical user interface (GUI) to present an AI-derived risk score. METHODS: Intensive care unit (ICU) clinicians participated in focus groups seeking input on instability risk forecast presented in a prototype GUI. Two stratified rounds (three focus groups [only nurses, only providers, then combined]) were moderated by a focus group methodologist. After round 1, GUI design changes were made and presented in round 2. Focus groups were recorded, transcribed, and deidentified transcripts independently coded by three researchers. Codes were coalesced into emerging themes. RESULTS: Twenty-three ICU clinicians participated (11 nurses, 12 medical providers [3 mid-level and 9 physicians]). Six themes emerged: (1) analytics transparency, (2) graphical interpretability, (3) impact on practice, (4) value of trend synthesis of dynamic patient data, (5) decisional weight (weighing AI output during decision-making), and (6) display location (usability, concerns for patient/family GUI view). Nurses emphasized having GUI objective information to support communication and optimal GUI location. While providers emphasized need for recommendation interpretability and concern for impairing trainee critical thinking. All disciplines valued synthesized views of vital signs, interventions, and risk trends but were skeptical of placing decisional weight on AI output until proven trustworthy. CONCLUSION: Gaining input from all clinical users is important to consider when designing AI-derived GUIs. Results highlight that health care intelligent decisional support systems technologies need to be transparent on how they work, easy to read and interpret, cause little disruption to current workflow, as well as decisional support components need to be used as an adjunct to human decision-making.

Immune-mediated diseases and subsequent risk of alopecia areata in a prospective study of US women.

INTRODUCTION: Alopecia areata (AA) is the most common form of immune-mediated hair loss. Studies have begun to establish the most frequent comorbid diseases of AA; however, results have been inconsistent with few prospective studies. METHODS: A total of 63,692 women in the Nurses' Health Study, 53-80 years, were prospectively followed from 2002 to 2014 to determine whether history of immune-mediated disease was associated with AA risk. Hazard ratios (HRs) and 95% confidence intervals (CIs) for AA in relation to immune-mediated conditions were computed using Cox proportional hazard models, adjusted for AA risk factors. RESULTS: 133 AA cases were identified during follow-up. Personal history of any immune-mediated disease was associated with increased AA risk (HR 1.72, 95% CI 1.24-2.37). History of systemic lupus erythematosus (HR 5.43, 95% CI 2.11-13.97), multiple sclerosis (HR 4.10, 95% CI 1.40-11.96), vitiligo (HR 3.13, 95% CI 1.08-9.10), psoriasis (HR 2.01, 95% CI 1.00-4.03), hypothyroidism (HR 1.88, 95% CI 1.30-2.71), and rheumatoid arthritis (HR 1.66, 95% CI 1.09-2.52) were associated with increased AA risk. History of inflammatory bowel disease or Graves' disease/hyperthyroidism was not significantly associated with AA risk. CONCLUSIONS: In this prospective study, personal history of immune-mediated diseases either individually or overall was associated with increased AA risk.

Mental and Physical Health Impacts of Mindfulness Training for College Undergraduates: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Background: Universities increasingly offer mindfulness-based programs (MBPs) to improve student health and reduce their impact on overburdened psychological services. It is critical for evidence-based policy to determine for what health outcomes mindfulness programs are effective and under what conditions. Objectives were to: (a) perform a comprehensive analysis of the effects of mindfulness interventions on physical, mental, and behavioral health outcomes in college undergraduate students, and (b) examine moderators of intervention effects to identify factors that may help improve existing university mindfulness programs and guide the design of new programs. Method: Systematic searches of five databases identified MBP randomized controlled trials for undergraduate students, measuring any health outcome. Analyses using robust variance estimation focused on standardized mean differences for outcomes between groups and modeled through coded study features. Results: The 58 studies in the review primarily focused on mental health with fewer assessments of physical health or health behaviors. Overall, mindfulness interventions significantly outperformed both active and inactive controls (ps<.05), with the most marked effects on anxiety symptoms, depressive symptoms, and mindfulness; greater success appeared for clinical populations. Online programs performed equivalent to in-person, and non-MBP programs were equivalent to MBP programs after controlling for other factors. Publication bias and other quality issues also emerged. Conclusions: Mindfulness programs improve well-being in college students, with the strongest evidence for reducing anxiety and depressive symptoms. More studies utilizing stronger methods are needed to evaluate mindfulness programs' effects on additional health outcomes and online interventions in clinical populations.

Relative effectiveness assessment of pharmaceuticals: similarities and differences in 29 jurisdictions.

OBJECTIVE: Assessment of the effectiveness compared with alternative treatment(s) plays an important role in many jurisdictions in determining the reimbursement status of pharmaceuticals. This type of assessment is often referred to as a relative effectiveness assessment (REA) and is carried out by many jurisdictions. Increased sharing of information across jurisdictions may save costs and reduce duplication. The objective of this study was to explore the main similarities and differences in the major methodological aspects of REA in multiple jurisdictions. METHODS: Data were gathered with a standardized data extraction form by searching publicly available information and by eliciting information from representatives at relevant organizations. RESULTS: Of the initially included 35 jurisdictions, data were gathered for 29 jurisdictions. There seem to be substantial similarities on the choice of the comparator, the role of indirect comparisons, and preferred end points in REAs (except for the use of health state utilities). Jurisdictions, however, differ in whether effectiveness (usual circumstances of health care practice) is estimated in case no (comparative) effectiveness data are available and how this is done. CONCLUSION: Some important methodological aspects for REA are approached in a similar way in many jurisdictions, indicating that collaboration on assessments may be feasible. Enhanced collaboration in the development of methods and best practices for REA between jurisdictions will be a necessary first step. Important topics for developing best practice are indirect comparisons and how to handle the gap between efficacy and effectiveness data in case good quality comparative effectiveness data are not yet available at the time of reimbursement decisions.

Utility values in National Institute for Health and Clinical Excellence (NICE) Technology Appraisals.

OBJECTIVE: To review the selection and use of health-related utility values for economic models included in National Institute for Health and Clinical Excellence (NICE) Technology Appraisals. METHOD: A cross-sectional review of reports of economic models submitted to the Technology Appraisals program was undertaken to review the health-related utility data included. Data reviewed included identification and selection of data and the methods used for utility elicitation. The methods used were compared with those from the 2004 Methods Guide issued by NICE. RESULTS: Appraisals conducted after the implementation of the NICE 2004 Methods Guide were reviewed. After exclusion of documents that did not include a de novo cost-utility analysis, 71 submissions (53 manufacturer submissions, 18 assessment group reports) from 39 appraisals were identified, containing 284 unique utility values. Variation was found in the selection, elicitation, valuation, and use of the utility values. Thirty-nine submissions (55%) took utility values from published studies, of which only 31% were identified through a systematic review. Forty-seven (66%) submissions contained health state descriptions reported by patients, and 55 (77%) submissions applied a valuation set derived from the general population. The EQ-5D was used in 35 (49%) submissions, and mapping to a generic health-related quality of life measure was performed in 19 (27%) submissions. CONCLUSIONS: Only 56% of submissions to NICE and assessment reports included utility values that met the NICE 2004 reference case. This highlights variation in the methods used to select and incorporate utility values in economic models for NICE Technology Appraisals.