Acute Inpatient Care Research Articles

Clinician perspectives and recommendations regarding design of clinical prediction models for deteriorating patients in acute care

BackgroundSuccessful deployment of clinical prediction models for clinical deterioration relates not only to predictive performance but to integration into the decision making process. Models may demonstrate good discrimination and calibration, but fail to match the needs of practising acute care clinicians who receive, interpret, and act upon model outputs or alerts. We sought to understand how prediction models for clinical deterioration, also known as early warning scores (EWS), influence the decision-making of clinicians who regularly use them and elicit their perspectives on model design to guide future deterioration model development and implementation.MethodsNurses and doctors who regularly receive or respond to EWS alerts in two digital metropolitan hospitals were interviewed for up to one hour between February 2022 and March 2023 using semi-structured formats. We grouped interview data into sub-themes and then into general themes using reflexive thematic analysis. Themes were then mapped to a model of clinical decision making using deductive framework mapping to develop a set of practical recommendations for future deterioration model development and deployment.ResultsFifteen nurses (n = 8) and doctors (n = 7) were interviewed for a mean duration of 42 min. Participants emphasised the importance of using predictive tools for supporting rather than supplanting critical thinking, avoiding over-protocolising care, incorporating important contextual information and focusing on how clinicians generate, test, and select diagnostic hypotheses when managing deteriorating patients. These themes were incorporated into a conceptual model which informed recommendations that clinical deterioration prediction models demonstrate transparency and interactivity, generate outputs tailored to the tasks and responsibilities of end-users, avoid priming clinicians with potential diagnoses before patients were physically assessed, and support the process of deciding upon subsequent management.ConclusionsPrediction models for deteriorating inpatients may be more impactful if they are designed in accordance with the decision-making processes of acute care clinicians. Models should produce actionable outputs that assist with, rather than supplant, critical thinking.

Team case formulation for challenging behaviour on acute psychiatric wards

Due to the high prevalence of challenging behaviours on acute psychiatric wards, there is a need for more therapeutic interventions that utilize psychological theory to support staff and patients. This study assessed feasibility, effectiveness and mechanisms of multidisciplinary team case formulation to reduce challenging behaviours of patients. This was a cohort study with a pre‐ and post‐formulation analysis of patients from five acute wards. Structured team case formulation sessions were held using an integrative psychological model incorporating cognitive behavioural principles and the Newcastle model. Staff attendance and fidelity to formulation components were recorded. Frequency of staff-rated challenging behaviours and the frequency of incidents of violence and self‐harm pre‐ and one‐week post‐formulation were assessed. To test mechanisms, changes in staff perceptions of the overall frequency of challenging behaviours and the number of incidents of violence and self‐harm were compared to the number of strategies identified, the number of strategies implemented, and the number of staff present. Participants (N = 50) had a range of serious mental health conditions, including 50% with F20???F29 schizophrenia, schizotypal and delusional disorder. Fidelity to formulation model components was found to be high. There was a significant decrease in staff perception of the frequency of patients’ challenging behaviours, with large effect sizes. There was strong evidence of a reduction in the number of violent incidents and self‐harm post‐case formulation. None of the mechanism tests were significant. Case formulation sessions appear to be a feasible and effective intervention to reduce challenging behaviours within acute inpatient care.

ENCoDE - a skin tone and clinical dataset from a prospective trial on acute care patients.

Although hypothesized to be the root cause of the pulse oximetry disparities, skin tone and its use for improving medical therapies have yet to be extensively studied. Studies previously used self-reported race as a proxy variable for skin tone. However, this approach cannot account for skin tone variability within race groups and also risks the potential to be confounded by other non-biological factors when modeling data. Therefore, to better evaluate health disparities associated with pulse oximetry, this study aimed to create a unique baseline dataset that included skin tone and electronic health record (EHR) data. Patients admitted to Duke University Hospital were eligible if they had at least one pulse oximetry value recorded within 5 minutes before an arterial blood gas (ABG) value. We collected skin tone data at 16 different body locations using multiple devices, including administered visual scales, colorimetric, spectrophotometric, and photography via mobile phone cameras. All patients' data were linked in Duke's Protected Analytics Computational Environment (PACE), converted into a common data model, and then de-identified before publication in PhysioNet. Skin tone data were collected from 128 patients. We assessed 167 features per skin location on each patient. We also collected over 2000 images from mobile phones measured in the same controlled environment. Skin tone data are linked with patients' EHR data, such as laboratory data, vital sign recordings, and demographic information. Measuring different aspects of skin tone for each of the sixteen body locations and linking them with patients' EHR data could assist in the development of a more equitable AI model to combat disparities in healthcare associated with skin tone. A common data model format enables easy data federation with similar data from other sources, facilitating multicenter research on skin tone in healthcare. A prospectively collected EHR-linked skin tone measurements database in a common data model with emphasis on pulse oximetry disparities.

De-escalating aggression in acute inpatient mental health settings: a behaviour change theory-informed, secondary qualitative analysis of staff and patient perspectives

BackgroundDe-escalation is often advocated to reduce harm associated with violence and use of restrictive interventions, but there is insufficient understanding of factors that influence de-escalation behaviour in practice. For the first time, using behaviour change and implementation science methodology, this paper aims to identify the drivers that will enhance de-escalation in acute inpatient and psychiatric intensive care mental health settings.MethodsSecondary analysis of 46 qualitative interviews with ward staff (n = 20) and patients (n = 26) informed by the Theoretical Domains Framework.ResultsCapabilities for de-escalation included knowledge (impact of trauma on memory and self-regulation and the aetiology and experience of voice hearing) and skills (emotional self-regulation, distress validation, reducing social distance, confirming autonomy, setting limits and problem-solving). Opportunities for de-escalation were limited by dysfunctional risk management cultures/ relationships between ward staff and clinical leadership, and a lack of patient involvement in safety maintenance. Motivation to engage in de-escalation was limited by negative emotion associated with moral formulations of patients and internal attributions for behaviour.ConclusionIn addition to training that enhances knowledge and skills, interventions to enhance de-escalation should target ward and organisational cultures, as well as making fundamental changes to the social and physical structure of inpatient mental health wards. Psychological interventions targeting negative emotion in staff are needed to increase motivation. This paper provides a new evidence-based framework of indicative changes that will enhance de-escalation in adult acute mental health inpatient and PICU settings.

Standard versus individualised positive end-expiratory pressure (PEEP) compared by electrical impedance tomography in neurocritical care: a pilot prospective single centre study

BackgroundIndividualised bedside adjustment of mechanical ventilation is a standard strategy in acute coma neurocritical care patients. This involves customising positive end-expiratory pressure (PEEP), which could improve ventilation homogeneity and arterial oxygenation. This study aimed to determine whether PEEP titrated by electrical impedance tomography (EIT) results in different lung ventilation homogeneity when compared to standard PEEP of 5 cmH2O in mechanically ventilated patients with healthy lungs.MethodsIn this prospective single-centre study, we evaluated 55 acute adult neurocritical care patients starting controlled ventilation with PEEPs close to 5 cmH2O. Next, the optimal PEEP was identified by EIT-guided decremental PEEP titration, probing PEEP levels between 9 and 2 cmH2O and finding the minimal amount of collapse and overdistension. EIT-derived parameters of ventilation homogeneity were evaluated before and after the PEEP titration and after the adjustment of PEEP to its optimal value. Non-EIT-based parameters, such as peripheral capillary Hb saturation (SpO2) and end-tidal pressure of CO2, were recorded hourly and analysed before PEEP titration and after PEEP adjustment.ResultsThe mean PEEP value before titration was 4.75 ± 0.94 cmH2O (ranging from 3 to max 8 cmH2O), 4.29 ± 1.24 cmH2O after titration and before PEEP adjustment, and 4.26 ± 1.5 cmH2O after PEEP adjustment. No statistically significant differences in ventilation homogeneity were observed due to the adjustment of PEEP found by PEEP titration. We also found non-significant changes in non-EIT-based parameters following the PEEP titration and subsequent PEEP adjustment, except for the mean arterial pressure, which dropped statistically significantly (with a mean difference of 3.2 mmHg, 95% CI 0.45 to 6.0 cmH2O, p < 0.001).ConclusionAdjusting PEEP to values derived from PEEP titration guided by EIT does not provide any significant changes in ventilation homogeneity as assessed by EIT to ventilated patients with healthy lungs, provided the change in PEEP does not exceed three cmH2O. Thus, a reduction in PEEP determined through PEEP titration that is not greater than 3 cmH2O from an initial value of 5 cmH2O is unlikely to affect ventilation homogeneity significantly, which could benefit mechanically ventilated neurocritical care patients.

Evaluation of Posthospital Brain Injury Rehabilitation Outcomes With Quasi-Experimental Controls.

To further evaluate, using quasi-experimental methodologies, posthospital brain injury rehabilitation outcomes described in an accompanying report of a large observational study (n =2120). Data from Intensive Rehabilitation (IR: Residential Neurobehavioral, Residential Neurorehabilitation, Home and Community Neurorehabilitation, Day Treatment, Outpatient Neurorehabilitation) and Supported Living (SL) programs serving individuals with acquired brain injury (ABI). Two hundred twenty-eight individuals with traumatic brain injury, stroke, or other ABI in propensity score analysis; 1344 in analysis by extent of recommended treatment completed (TC) rating. Sex, age, time since injury, Mayo-Portland Adaptability Inventory-4th edition (MPAI-4) Rasch-derived T-scores, and TC rating. Analyses of covariance (1) of discharge MPAI-4 Total, index, and subscale T-scores on propensity score-matched samples of IR and SL participants controlling for admission scores and (2) of MPAI-4 T-scores by TC rating and diagnostic category. Propensity score-matched groups showed superior outcomes for IR participants compared to SL participants on MPAI-4 Total T-score (F =77.21, P <.001; partial η2=0.257) and all MPAI-4 index and subscale T-scores controlling for sex, age, and baseline scores. Participants with traumatic brain injury and stroke who completed the recommended course of rehabilitation had superior outcomes on all MPAI-4 T-scores compared to those who completed less than or much less than the recommended treatment. No additional benefit was apparent for those who completed more than the recommended course. The association between TC rating and outcome was not significant for the other ABI group. These analyses using quasi-experimental controls provide more scientifically rigorous evidence of the benefit of IR provided through posthospital brain injury rehabilitation programs after acute inpatient care, consistent with the results of numerous observational studies. However, improved internal validity limits external validity and generalization. The absence of a significant association between TC rating and outcomes for the other ABI group most likely reflects the difficulty prescribing rehabilitation for this highly heterogeneous group.

Influence of bundled care treatment on functional outcome in patients with intracerebral hemorrhage.

General guideline recommendations in patients with intracerebral hemorrhage (ICH) include blood pressure-, temperature- and glucose management. The therapeutic effect of such a "care bundle" (blood pressure lowering, glycemic control, and treatment of pyrexia) on clinical outcomes becomes increasingly established. For the present study, we aimed to investigate associations of strict bundled care treatment (BCT) with clinical outcomes and characterize associations with key outcome effectors such as hematoma enlargement (HE) and peak perihemorrhagic edema (PHE). We screened consecutive ICH patients (n = 1,322) from the prospective UKER-ICH cohort study. BCT was defined as achieving and maintaining therapeutic ranges for systolic blood pressure (110-160 mmHg), glucose (80-180 mg/dL), and body temperature (35.5-37.5°C) over the first 72 h. The primary outcome was the functional outcome at 12 months (modified Rankin Scale (mRS) 0-3). Secondary outcomes included mortality at 12 months, the occurrence of hematoma enlargement, and the development of peak perihemorrhagic edema. Confounding was addressed by a doubly robust methodology to calculate the absolute treatment effect (ATE) and by calculating e-values. A total of 681 patients remained for analysis, and 182 patients fulfilled all three BCT criteria and were compared to 499 controls. The ATE of BCT to achieve the primary outcome was 9.3%, 95% CI (1.7 to 16.9), p < 0.001; e-value: 3.1, CI (1.8). Mortality at 12 months was significantly reduced by BCT [ATE: -12.8%, 95% CI (-19.8 to -5.7), p < 0.001; e-value: 3.8, CI (2.2)], and no association was observed for HE or peak PHE. Significant drivers of BCT effect on the primary outcome were systolic blood pressure control (ATE: 15.9%) and maintenance of normothermia (ATE: 10.9%). Strict adherence to this "care bundle" over the first 72 h during acute hospital care in patients with ICH was independently associated with improved functional long-term outcome, driven by systolic blood pressure control and maintenance of normothermia. Our findings strongly warrant prospective validation to determine the generalizability especially in Western countries.Clinical trial registration:ClinicalTrials.gov, identifier [ID: NCT03183167].

Internal medicine in the 21st century: Back to the future

Healthcare systems face multiple challenges arising from demographic factors (population aging) and epidemiological factors (rise of chronic diseases and patients with multimorbidity) as well as threats to their financial sustainability when maintaining equitable access to medical and technological advances. Current healthcare models, based on specialized medical care, lead to fragmented care that can be harmful to the patient and is inefficient for the system due to the overuse of redundant, low-value medical acts. Internal medicine is the hospital-centered general medical specialty par excellence, providing a comprehensive and holistic vision that is centered on the patient and not on the disease. Internists should be the leading physicians in the hospital setting for complex patients with or those with an uncertain diagnosis. Internists must play a key role, as hospitalists do, in the continued care of acute patients hospitalized for medical or surgical diseases, establishing shared care models in multidisciplinary teams. Likewise, to guarantee continuity of care for chronic patients, internists must establish mechanisms for collaboration with primary care and nursing, participating in the development of new out-of-hospital care models that use the available technological resources. Internal medicine should play a leading role in graduate and postgraduate medical education to promote a holistic vision among medical students and residents in medical subspecialties.

Acute hospitalizations and outcomes in Veterans Affairs Hospitals 2011 to 2017.

Hospitals within the Veterans Affairs (VA) health care system exhibited growing use of observation care. It is unknown how this affected VA hospital performance since observation care is not included in acute inpatient measures. To examine changes in VA hospitalization outcomes and whether it was affected by shifting acute inpatient care to observation care. Longitudinal analysis of 986,355 acute hospitalizations and observation stays in 11 states 2011 to 2017. We estimated temporal changes in 30-day mortality, 30-day readmissions, costs, and length of stay (LOS) for all hospitalizations and 6 conditions in adjusted models. Changes in mortality and readmissions were compared including and excluding observation care. A 9% drop in acute hospitalizations was offset by a 157% increase in observation stays 2011 to 2017. A 30-day mortality decreased but readmissions did not when observation stays were included (all P < .05). Mean costs increased modestly; mean LOS was unchanged. There were differences by condition. VA hospital mortality decreased; there was no change in readmissions.

Estimating the Relationship Between Nurse Staffing and Medication Pass Workload Using National Barcode Data.

Measuring and assessing the relationship between inpatient nurse staffing and workload across a national health system is difficult due to challenges in systematically observing inpatient workload at the unit level. The objective of this study was to apply a novel measure of inpatient nurse workload to estimate the relationship between inpatient nurse staffing and nurse workload at the unit level during a key nursing activity: the peak-time medication pass. A retrospective observational study was conducted in the Veterans Health Administration, the largest employer of nurses in the U.S. The sample included all patients (n= 1,578,399 patient days) admitted to 311 non-intensive care unit inpatient acute care units in 112 hospitals in 2019 (104,588 unit days). Staffing was measured as the unit-level, nurse-to-patient ratio, and workload was measured using average time (duration) for RNs to complete the peak-time medication pass. We found a negative relationship between the RN-to-patient ratio and average peak time medication pass duration after adjusting for unit-level patient volume and average patient severity of illness and other unit-level factors. This relationship was non-linear: the marginal effect of staffing on workload decreased as staffing increased. As unit-level nurse staffing increased, average RN workload decreased. This result suggests that interventions to improve nurse staffing may have larger non-linear effects for units with lower staffing levels. Understanding the effect of differing staffing decisions on variations in nursing workload is critical for adopting models of care that effectively use scarce staffing resources and contribute to retaining nurses in the inpatient workforce. This work provides evidence that peak time medication pass duration is a valid process-based measure of workload and highlights the potential diminishing returns to increasing staffing.

Prioritising deteriorating patients using time-to-event analysis: prediction model development and internal–external validation

BackgroundBinary classification models are frequently used to predict clinical deterioration, however they ignore information on the timing of events. An alternative is to apply time-to-event models, augmenting clinical workflows by ranking patients by predicted risks. This study examines how and why time-to-event modelling of vital signs data can help prioritise deterioration assessments using lift curves, and develops a prediction model to stratify acute care inpatients by risk of clinical deterioration.MethodsWe developed and validated a Cox regression for time to in-hospital mortality. The model used time-varying covariates to estimate the risk of clinical deterioration. Adult inpatient medical records from 5 Australian hospitals between 1 January 2019 and 31 December 2020 were used for model development and validation. Model discrimination and calibration were assessed using internal–external cross validation. A discrete-time logistic regression model predicting death within 24 h with the same covariates was used as a comparator to the Cox regression model to estimate differences in predictive performance between the binary and time-to-event outcome modelling approaches.ResultsOur data contained 150,342 admissions and 1016 deaths. Model discrimination was higher for Cox regression than for discrete-time logistic regression, with cross-validated AUCs of 0.96 and 0.93, respectively, for mortality predictions within 24 h, declining to 0.93 and 0.88, respectively, for mortality predictions within 1 week. Calibration plots showed that calibration varied by hospital, but this can be mitigated by ranking patients by predicted risks.ConclusionTime-varying covariate Cox models can be powerful tools for triaging patients, which may lead to more efficient and effective care in time-poor environments when the times between observations are highly variable.

Hospital personnel perspectives on factors influencing acute care patient outcomes: a qualitative approach to model refinement

BackgroundHealth systems have long been interested in the best practices for staffing in the acute care setting. Studies on staffing often focus on registered nurses and nurse-to-patient staffing ratios. There were fewer studies on the relationship between interprofessional team members or contextual factors such as hospital and community characteristics and patient outcomes. This qualitative study aimed to refine an explanatory model by soliciting hospital personnel feedback on staffing and patient outcomes.MethodsWe conducted a qualitative study using semi-structured interviews and thematic analysis to understand hospital personnel’s perspectives and experiences of factors that affect acute care inpatient outcomes. Interviews were conducted in 2022 with 38 hospital personnel representing 19 hospitals across Washington state in the United States of America.ResultsFindings support a model of characteristics impacting patient outcomes to include the complex and interconnected relationships between community, hospital, patient, and staffing characteristics. Within the model, patient characteristics were positioned into hospital characteristics, and in turn these were positioned within community characteristics to highlight the importance of setting and context when evaluating outcomes. Together, these factors influenced both staff characteristics and patient outcomes, but these two categories also share a direct relationship.ConclusionFindings can be applied to hospitals and health systems in a variety of contexts to examine how external factors such as community resource availability impact care delivery. Future research should expand on this work with specific attention to how staffing changes and interprofessional team composition can improve patient outcomes.

Implementation of an external female urinary catheter strategy on prevention of skin breakdown in acute care: A quality improvement study.

To evaluate the incidence of skin-related complications attributable to incontinence-associated dermatitis (IAD) using an external female urinary catheter device strategy for urinary incontinent (UI) patients in acute care. Multicenter quality improvement study. Randomized allocation of two commercially available external female urinary catheter devices was used in hospitalized UI female patients. Daily nursing skin assessments were documented in the electronic health record before, during and after external catheter device application. Methods and results were reported following SQUIRE guidelines. Three hundred and eighty-one patients from 57 inpatient care units were included in the analysis. Both catheter devices were associated with an overall low risk (5 %) of new or worsening skin breakdown. The overall benefit of external catheters is most persuasive for skin integrity, rather than infection prevention. Significant negative outcomes are associated with UI patients. External female urinary catheters are a non-invasive alternative strategy to reduce exposure of regional skin to urine contamination and IAD-related skin complications. Use of external female urinary catheters in hospitalized UI female patients offers low risk (5%) of new or worsening overall skin breakdown. Hospitalized UI female patients were screened for external catheter device eligibility by the bedside nurse. The quality improvement review committee waved consent because the intervention was considered standard care.

Assessing Practice Variation of Anesthetic Management for Endovascular Thrombectomy in Acute Ischemic Stroke: A Comprehensive Multicenter Survey.

This study explored the current global landscape of periprocedural care of acute ischemic stroke patients undergoing endovascular thrombectomy (EVT). An anonymous, 54-question electronic survey was sent to 354 recipients in hospitals worldwide. The responses were stratified by World Bank country income level into high-income (HICs) and low/middle-income (LMICs) countries. A total of 354 survey invitations were issued. Two hundred twenty-three respondents started the survey, and 87 fully completed surveys were obtained from centers in which anesthesiologists were routinely involved in EVT care (38 in HICs; 49 in LMICs). Respondents from 35 (92.1%) HICs and 14 (28.6%) LMICs reported that their centers performed >50 EVTs annually. Respondents from both HICs and LMICs reported low rates of anesthesiologist involvement in pre-EVT care, though a communication system was in place in 100% of HIC centers and 85.7% of LMIC centers to inform anesthesiologists about potential EVTs. Respondents from 71.1% of HIC centers and 51% of LMIC centers reported following a published guideline during EVT management, though the use of cognitive aids was low in both (28.9% and 24.5% in HICs and LMICs, respectively). Variability in multiple areas of practice, including choice of anesthetic techniques, monitoring and management of physiological variables during EVT, and monitoring during intrahospital transport, were reported. Quality metrics were rarely tracked or reported to the anesthesiology teams. This study demonstrated variability in anesthesiology involvement and in clinical care during and after EVT. Centers may consider routinely involving anesthesiologists in pre-EVT care, using evidence-based recommendations for EVT management, and tracking adherence to published guidelines and other quality metrics.

Impact of the Covid-19 pandemic on inpatient health care in Switzerland 2020-2021-A descriptive retrospective study using admission data of all Swiss hospitals.

As part of the Covid-19-restrictions in Switzerland, a federal ban on non-urgent examinations and treatments was applied to all hospitals during six weeks in spring 2020 ("spring lockdown"). The aim of this study was to comprehensively investigate the consequences of the Covid-19 pandemic on Swiss inpatient admissions based on data of all hospitals, focusing on selected procedures of different medical urgency. The study includes all acute care inpatient cases (including Covid-19 cases, excluding cases in psychiatry and rehabilitation) according to the Swiss Medical Statistics of Hospitals. Besides the total number of admissions, subdivided by regions, hospital types and age groups, we focused on selected procedures representing different medical urgency: elective surgeries, cancer surgeries, and emergencies. Procedures were selected based on expert interviews. We compared the number of admissions during spring lockdown and for the whole years 2020 and 2021 in absolute numbers and in percentage changes to the corresponding periods in 2019 (baseline year). During spring lockdown, the number of admissions decreased by 47,156 (32.2%) without catch-up effect by the end of 2020 (-72,817 admissions/-5.8%). With procedure-specific decreases of up to 86%, the decline in admissions was largest for elective surgery, a decline that was only fully reversed in the case of a few procedures, such as joint arthroplasty. Strikingly, admissions due to emergencies also substantially decreased during spring lockdown (stroke -14%; acute myocardial infarction STEMI: -9%, NSTEMI: -26%). Results for the selected procedures in cancer surgery showed no consistent pattern. In 2021, admission numbers for most procedures reached or even exceeded those in 2019. The substantial reduction in admissions, particularly in elective procedures, may reflect the impact of the triage in favor of anticipated Covid-19-cases during spring lockdown. By the end of 2020, admissions were still at lower levels relative to the previous, pre-pandemic year. The numbers in 2021 reached the same levels as those in 2019, which suggests that the Covid-19 pandemic only temporarily impacted inpatient health care in Switzerland. Long-term consequences of the observed reduction in admissions for emergencies and cancer surgery need to be investigated at the individual level.

Harnessing health information technology to promote equitable care for patients with limited English proficiency and complex care needs

BackgroundPatients with language barriers encounter healthcare disparities, which may be alleviated by leveraging interpreter skills to reduce cultural, language, and literacy barriers through improved bidirectional communication. Evidence supports the use of in-person interpreters, especially for interactions involving patients with complex care needs. Unfortunately, due to interpreter shortages and clinician underuse of interpreters, patients with language barriers frequently do not get the language services they need or are entitled to. Health information technologies (HIT), including artificial intelligence (AI), have the potential to streamline processes, prompt clinicians to utilize in-person interpreters, and support prioritization.MethodsFrom May 1, 2023, to June 21, 2024, a single-center stepped wedge cluster randomized trial will be conducted within 35 units of Saint Marys Hospital & Methodist Hospital at Mayo Clinic in Rochester, Minnesota. The units include medical, surgical, trauma, and mixed ICUs and hospital floors that admit acute medical and surgical care patients as well as the emergency department (ED). The transitions between study phases will be initiated at 60-day intervals resulting in a 12-month study period. Units in the control group will receive standard care and rely on clinician initiative to request interpreter services. In the intervention group, the study team will generate a daily list of adult inpatients with language barriers, order the list based on their complexity scores (from highest to lowest), and share it with interpreter services, who will send a secure chat message to the bedside nurse. This engagement will be triggered by a predictive machine-learning algorithm based on a palliative care score, supplemented by other predictors of complexity including length of stay and level of care as well as procedures, events, and clinical notes.DiscussionThis pragmatic clinical trial approach will integrate a predictive machine-learning algorithm into a workflow process and evaluate the effectiveness of the intervention. We will compare the use of in-person interpreters and time to first interpreter use between the control and intervention groups.Trial registrationNCT05860777. May 16, 2023.

Unplanned Emergency Department or Inpatient Acute Care Within 1 Week After Administration of Peptide Receptor Radionuclide Therapy: Frequency of Occurrence and Standard Operating Procedures for Radioprotection in These Situations

Peptide receptor radionuclide therapy (PRRT) is a rapidly developing treatment modality. These treatments are indicated for patients who are either heavily pretreated and/or may have neurohormonal active disease, increasing the risk of acute adverse effects and the need for unplanned acute care. The goals of this report were to characterize the frequency of unplanned acute care utilization after PRRT infusion and detail a comprehensive standard operating procedure (SOP) for radioprotection during unplanned post-PRRT acute care. The records of patients treated with PRRT were reviewed. The event of interest was emergency department (ED) utilization and/or inpatient admission within 7 days of PRRT infusion. A multidisciplinary group developed a radioprotection SOP for all phases of unplanned acute care including the clinical infusion space and emergency medical services transport to the ED, within the ED, and on the inpatient floor. A total of 232 patients received 814 infusions of PRRT, with 134 (58%) receiving Lutathera and 98 (42%) receiving Pluvicto. Nineteen patients received unplanned acute care at an ED within 7 days of PRRT infusion (8% of patients, 2% of infusions), of which 10 received Lutathera (8% of patients, 2% of infusions). Two patients (2% of patients, 0.5% of infusions) experienced carcinoid crises within 24 hours of Lutathera infusion. The median and average intervals between infusion and ED visit were 0.5 days and 1.3 days, respectively. Nine patients received Pluvicto (9% of patients, 3% of infusions). The median and average intervals between infusion and ED visit were 4 and 4.7 days, respectively. Emergency room utilization and/or inpatient admission after PRRT administration are relatively infrequent events, but not unexpected. Centers that administer PRRT should have a comprehensive SOP in place to effectively care for radioactive patient emergencies while maximizing medical staff protection.

Nursing care for acute stroke patients

Nursing care for acute stroke patients

Low levels of psychological safety in inpatient medical-surgical nurses on the tail end the COVID-19 pandemic

Background: The COVID-19 pandemic required an increased reliance on and utilization of the inpatient nursing workforce. We aim to examine the psychological safety of U.S. inpatient acute care nurses in the two years following the onset of COVID-19. Method: Participants were recruited for participation across two major metropolitan medical centers in the tristate area, six units per site (12 total). Anonymous Qualtrics survey invitations were distributed through work listservs in the first halves of 2022 and 2023. The invitation was open to registered nurses who provided at least 16 hours/week of direct patient care for at least six months at the hospital. The survey was open for 4-6 weeks, with reminders sent every other week. Nurses were offered a $25 gift card the firs year and $35 the second. Nurses were asked to rate how frequently they experience seven conditions indicative of psychological safety in their work environment from 1 = “Never” to 5 = “Always”. Two items were reverse coded in analysis as the prompts were negatively phrased. Blank and ineligible responses were excluded from the analytic sample. As response distributions were skewed, Wilcoxon rank-sum tests were used to analyze differences between years (alpha = 0.5). Blank and ineligible responses were excluded from the final analytic sample. Result: We achieved an overall response rate of 52% for each survey year (n=258 Year 1, n=221 Year 2). Psychological safety was found to be low overall for both years, but lowest for Year 1 (3.5 vs. 3.7, p=0.0132). The highest rated condition in both years was “When a medical error occurs at this hospital, health care workers are encouraged to discuss mistakes in order to learn how to prevent similar future errors” (4.0 Year 1 vs. 4.2 Year 2, p=0.0054). The lowest rated condition changed across years. For Year 1, “At this hospital, people are too busy to invest time in improvement” (reverse coded) received the lowest rating at 3.1 (vs. 3.3 in Year 2, p=0.0685). For Year 2, “If you make a mistake at this hospital, it is often held against you” became the lowest rating at 2.9 (vs. 3.4 year 1, &lt;.0001). A summary of the psychological safety conditions is presented in Figure 1. Conclusion: Nurses in our study reported low psychological safety during the end of the COVID-19 pandemic. This has implications for overall patient safety and for nursing staff retention in acute care units.

What Makes Effective Acute Geriatric Care? - A mixed Methods Study From Aotearoa New Zealand

Structured Objectives Current policies for older patients do not adequately address the barriers to effective implementation of optimal care models in New Zealand, partly due to differences in patient definitions and the in-patient pathway they should follow through hospital. This research aims to: (a) synthesise a definition of a complex older patient; (b) identify and explore primary and secondary health measures; and (c) identify the primary components of a care model suitable for a tertiary hospital in the midland region of the North Island of New Zealand.MethodThis mixed-methods study utilised a convergence model, in which qualitative and quantitative data were investigated separately and then combined for interpretation. Semi-structured interviews (n=11) were analysed using a general inductive method of enquiry to develop key codes, categories and themes. Univariate data analysis was employed using six years of routinely collected data of patients admitted to the emergency department and inpatient units (n=261,773) of the tertiary hospital.ResultsA definition of a complex older patient was determined that incorporates chronic conditions, comorbidities and iatrogenic complications, functional decline, activities of daily living, case fatality, mortality, hospital length of stay, hospital costs, discharge destination, hospital readmission and emergency department revisit and age – not necessarily over 65 years old. Well-performing geriatric care models were found to include patient-centred care, frequent medical review, early rehabilitation, early discharge planning, a prepared environment and multidisciplinary teams.ConclusionsThe findings of this New Zealand study increase understanding of acute geriatric care for complex older patients by filling a gap in policies and strategies, identifying potential components of an optimal care model and defining a complex geriatric patient.Implications for Public HealthThe findings of this study present actionable opportunities for clinicians, managers, academics and policymakers to better understand a complex older patient in New Zealand, with significant relevance also for international geriatric care and to establish an effective acute geriatric care model that leads to beneficial health outcomes and provides safeguard mechanisms.