Fulfilling last wishes: improving the compassionate discharge process.

BACKGROUND: Compassionate discharges (ComD), commonly known as rapid discharges, are urgent one-way discharges for critically ill hospitalised patients with death expected within hours or less than 7 days, to die at their place of choice-usually in their own home. Challenges abound in this time-sensitive setting when multiple parties must work together to prepare medically unstable patients for discharge, yet healthcare staff are largely unaware of the process, resulting in delays. METHODS: Process mapping, an Ishikawa diagram and a Pareto chart were used to identify barriers, which included timely acquisition of home equipment and medication and poor communication among stakeholders. In May 2020, the Quality Improvement (QI) team embarked on a pilot project to reduce family caregiver anxiety and delays in the ComD process while maintaining a success rate above 90% over a 12-month period. INTERVENTIONS: Three Plan-Do-Study-Act (PDSA) cycles were used to refine a ComD resource package that was developed; this consisted of a checklist, a kit and caregiver resources. This was to support nurses, doctors and families during this difficult and emotional transition. Items in the ComD resource package were revised iteratively based on user feedback, with further data collected to measure its usefulness. RESULTS: The 12-month ComD success rate over 3 PDSA cycles were 88.9%, 94.2% and 96.7%, respectively, after each cycle. There was a consistent reduction in the level of family anxiety before and after caregiver training and resources. Reasons for failed ComD included acute clinical deterioration or delays in obtaining home oxygen support. CONCLUSION: The ComD resource package allowed collaborative work across different disciplines, strengthening the safety and utility of ComD and allowing patients to die in their place of choice. These are ubiquitous across settings; this QI problem is thus relevant beyond our local institution.

Post-discharge spirometry evaluation in patients recovering from moderate-to-critical COVID-19: a cross-sectional study.

Understanding the prevalence of abnormal lung function and its associated factors among patients recovering from COVID-19 is crucial for enhancing post-COVID care strategies. This study primarily aimed to determine the prevalence and types of spirometry abnormalities among post-COVID-19 patients in Malaysia, with a secondary objective of identifying its associated factors. Conducted at the COVID-19 Research Clinic, Faculty of Medicine, University Technology MARA, from March 2021 to December 2022, this study included patients at least three months post-discharge from hospitals following moderate-to-critical COVID-19. Of 408 patients studied, abnormal spirometry was found in 46.8%, with 28.4% exhibiting a restrictive pattern, 17.4% showing preserved ratio impaired spirometry (PRISm), and 1.0% displaying an obstructive pattern. Factors independently associated with abnormal spirometry included consolidation on chest X-ray (OR 8.1, 95% CI 1.75-37.42, p = 0.008), underlying cardiovascular disease (OR 3.5, 95% CI 1.19-10.47, p = 0.023), ground-glass opacity on chest X-ray (OR 2.6, 95% CI 1.52-4.30, p < 0.001), and oxygen desaturation during the 6-min walk test (OR 1.9, 95% CI 1.20-3.06, p = 0.007). This study highlights that patients recovering from moderate-to-critical COVID-19 often exhibit abnormal spirometry, notably a restrictive pattern and PRISm. Routine spirometry screening for high-risk patients is recommended.

Childhood Opportunity and Acute Interstage Outcomes: A National Pediatric Cardiology Quality Improvement Collaborative Analysis.

BACKGROUND: The interstage period after discharge from stage 1 palliation carries high morbidity and mortality. The impact of social determinants of health on interstage outcomes is not well characterized. We assessed the relationship between childhood opportunity and acute interstage outcomes. METHODS: Infants discharged home after stage 1 palliation in the National Pediatric Quality Improvement Collaborative Phase II registry (2016-2022) were retrospectively reviewed. Zip code-level Childhood Opportunity Index (COI), a composite metric of 29 indicators across education, health and environment, and socioeconomic domains, was used to classify patients into 5 COI levels. Acute interstage outcomes included death or transplant listing, unplanned readmission, intensive care unit admission, unplanned catheterization, and reoperation. The association between COI level and acute interstage outcomes was assessed using logistic regression with sequential adjustment for potential confounders. RESULTS: The analysis cohort included 1837 patients from 69 centers. Birth weight (P<0.001) and proximity to a surgical center at birth (P=0.02) increased with COI level. Stage 1 length of stay decreased (P=0.001), and exclusive oral feeding rate at discharge increased (P<0.001), with higher COI level. More than 98% of patients in all COI levels were enrolled in home monitoring. Death or transplant listing occurred in 101 (5%) patients with unplanned readmission in 987 (53%), intensive care unit admission in 448 (24%), catheterization in 345 (19%), and reoperation in 83 (5%). There was no difference in the incidence or time to occurrence of any acute interstage outcome among COI levels in unadjusted or adjusted analysis. There was no interaction between race and ethnicity and childhood opportunity in acute interstage outcomes. CONCLUSIONS: Zip code COI level is associated with differences in preoperative risk factors and stage 1 palliation hospitalization characteristics. Acute interstage outcomes, although common across the spectrum of childhood opportunity, are not associated with COI level in an era of highly prevalent home monitoring programs. The role of home monitoring in mitigating disparities during the interstage period merits further investigation.

Postdischarge functional outcomes in older patients with acute heart failure in Japan: the Longevity Improvement & Fair Evidence study.

BACKGROUND: The association between care needs level (CNL) at hospitalisation and postdischarge outcomes in older patients with acute heart failure (aHF) has been insufficiently investigated. METHODS: This population-based cohort study was conducted using health insurance claims and CNL data of the Longevity Improvement & Fair Evidence study. Patients aged ≥65 years, discharged after hospitalisation for aHF between April 2014 and March 2022, were identified. CNLs at hospitalisation were classified as no care needs (NCN), support level (SL) and CNL1, CNL2-3 and CNL4-5 based on total estimated daily care time as defined by national standard criteria, and varied on an ordinal scale between SL&CNL1 (low level) to CNL4-5 (fully dependent). The primary outcomes were changes in CNL and death 1 year after discharge, assessed by CNL at hospitalisation using Cox proportional hazard models. RESULTS: Of the 17 724 patients included, 7540 (42.5%), 4818 (27.2%), 3267 (18.4%) and 2099 (11.8%) had NCN, SL&CNL1, CNL2-3 and CNL4-5, respectively, at hospitalisation. One year after discharge, 4808 (27.1%), 3243 (18.3%), 2968 (16.7%), 2505 (14.1%) and 4200 (23.7%) patients had NCN, SL&CNL1, CNL2-3, CNL4-5 and death, respectively. Almost all patients' CNLs worsened after discharge. Compared to patients with NCN at hospitalisation, patients with SL&CNL1, CNL2-3 and CNL4-5 had an increased risk of all-cause death 1 year after discharge (hazard ratio [95% confidence interval]: 1.19 [1.09-1.31], 1.88 [1.71-2.06] and 2.56 [2.31-2.84], respectively). CONCLUSIONS: Older patients with aHF and high CNL at hospitalisation had a high risk of all-cause mortality in the year following discharge.

Single center assessment of the role of Oakland score among patients admitted for acute lower gastrointestinal bleeding.

BACKGROUND/OBJECTIVES: The Oakland score was developed to predict safe discharge in patients who present to the emergency department with lower gastrointestinal bleeding (LGIB). In this study, we retrospectively evaluated if this score can be implemented to assess safe discharge (score ≤ 10) at WellStar Atlanta Medical Center (WAMC). METHODS: A retrospective cohort study of 108 patients admitted at WAMC from January 1, 2020 to December 30, 2021 was performed. Patients with LGIB based on the ICD-10 codes were included. Oakland score was calculated using 7 variables (age, sex, previous LGIB, digital rectal exam, pulse, systolic blood pressure (SBP) and hemoglobin (Hgb)) for all patients at admission and discharge from the hospital. The total score ranges from 0 to 35 and a score of ≤ 10 is a cut-off that has been shown to predict safe discharge. Hgb and SBP are the main contributors to the score, where lower values correspond to a higher Oakland score. Descriptive and multivariate analysis was performed using SPSS 23 software. RESULTS: A total of 108 patients met the inclusion criteria, 53 (49.1%) were female with racial distribution was as follows: 89 (82.4%) African Americans, 17 (15.7%) Caucasian, and 2 (1.9%) others. Colonoscopy was performed in 69.4% patients; and 61.1% patients required blood transfusion during hospitalization. Mean SBP records at admission and discharge were 129.0 (95% CI, 124.0-134.1) and 130.7 (95% CI,125.7-135.8), respectively. The majority (59.2%) of patients had baseline anemia and the mean Hgb values were 11.0 (95% CI, 10.5-11.5) g/dL at baseline prior to hospitalization, 8.8 (95% CI, 8.2-9.5) g/dL on arrival and 9.4 (95% CI, 9.0-9.7) g/dL at discharge from hospital. On admission, 100/108 (92.6%) of patients had an Oakland score of > 10 of which almost all patients (104/108 (96.2%)) continued to have persistent elevation of Oakland Score greater than 10 at discharge. Even though, the mean Oakland score improved from 21.7 (95% CI, 20.4-23.1) of the day of arrival to 20.3 (95% CI, 19.4-21.2) at discharge, only 4/108 (3.7%) of patients had an Oakland score of ≤ 10 at discharge. Despite this, only 9/108 (8.33%) required readmission for LGIB during a 1-year follow-up. We found that history of admission for previous LGIB was associated with readmission with adjusted odds ratio 4.42 (95% CI, 1.010-19.348, p = 0.048). CONCLUSIONS: In this study, nearly all patients who had Oakland score of > 10 at admission continued to have a score above 10 at discharge. If the Oakland Score was used as the sole criteria for discharge most patients would not have met discharge criteria. Interestingly, most of these patients did not require readmission despite an elevated Oakland score at time of discharge, indicating the Oakland score did not really predict safe discharge. A potential confounder was the Oakland score did not consider baseline anemia during calculation. A prospective study to evaluate a modified Oakland score that considers baseline anemia could add value in this patient population.

Discharging older patients from hospital to homecare: conflicts in collaborative practices among nurses across sectors.

BACKGROUND: Collaboration is a key factor influencing the quality and safety in patients transition between sectors. However, specific collaborative practices may give rise to conflict between hospital nurses and community nurses. AIMS: To gain a deeper understanding of collaborative practices which have the potential to fuel tension in collaboration between hospital nurses and community nurses during discharge of older patients from hospital to homecare. METHODS: A meta-ethnography approach was used in this study and a systematic literature search was conducted in 2022. RESULTS: Five themes were identified in the analysis. These themes revealed how uncertainty, limited confidence in information and personal attitude in communication may fuel tension between hospital nurses and community nurses. Tensions arising from a negative loop emerged because of uncertainty, causing a growing rift between hospital nurses and community nurses, leaving them as opponents rather than collaborators. The authors suggest that policy makers and managers can break this loop by underpinning shared policies and awareness of common objectives.

Emergency Department Visits And Hospital Capacity In The US: Trends In The Medicare Population During The COVID-19 Pandemic.

Although emergency department (ED) and hospital overcrowding were reported during the later parts of the COVID-19 pandemic, the true extent and potential causes of this overcrowding remain unclear. Using data on the traditional fee-for-service Medicare population, we examined patterns in ED and hospital use during the period 2019-22. We evaluated trends in ED visits, rates of admission from the ED, and thirty-day mortality, as well as measures suggestive of hospital capacity, including hospital Medicare census, length-of-stay, and discharge destination. We found that ED visits remained below baseline throughout the study period, with the standardized number of visits at the end of the study period being approximately 25 percent lower than baseline. Longer length-of-stay persisted through 2022, whereas hospital census was considerably above baseline until stabilizing just above baseline in 2022. Rates of discharge to postacute facilities initially declined and then leveled off at 2 percent below baseline in 2022. These results suggest that widespread reports of overcrowding were not driven by a resurgence in ED visits. Nonetheless, length-of-stay remains higher, presumably related to increased acuity and reduced available bed capacity in the postacute care system.

Unfulfilled home health referrals lead to higher mortality among Medicare Advantage members.

OBJECTIVES: Medicare Advantage (MA) members referred to home health after inpatient hospitalization may or may not receive these services for a variety of member- and health care system-related reasons. Our objective was to compare outcomes among MA members referred to home health following hospitalization who receive home health services vs those who do not. STUDY DESIGN: Retrospective quasi-experimental study. METHODS: Following acute hospitalization, members with discharge orders to receive home health services between January 2021 and October 2022 were identified in a medical claims database consisting of MA beneficiaries. Members who received services within 30 days of discharge were balanced using inverse propensity score weighting on member- and admission-related covariates with a comparator group of members who did not receive services. Primary outcomes included mortality and readmissions in the ensuing 30, 90, and 180 days. Secondary outcomes included emergency department visits, primary care visits, and per-member per-month costs. RESULTS: The home health-treated group consisted of 2115 discharges, and the untreated group consisted of 761 discharges. The treated group experienced lower mortality at 30 days (2% vs 3%, respectively; OR, 0.58; 95% CI, 0.36-0.92), 90 days (8% vs 10%; OR, 0.77; 95% CI, 0.60-0.98), and 180 days (11% vs 14%; OR, 0.81; 95% CI, 0.65-0.99). The treated group also experienced higher readmissions at 30 days (13% vs 10%; OR, 1.26; 95% CI, 1.01-1.60), 90 days (24% vs 16%; OR, 1.69; 95% CI, 1.39-2.05), and 180 days (33% vs 24%; OR, 1.52; 95% CI, 1.29-1.79). CONCLUSION: MA members referred to home health after acute hospitalization who did not receive home health services had higher mortality.

Patient-centered discharge summaries to support safety and individual health literacy: a double-blind randomized controlled trial in Austria.

BACKGROUND: To ensure a safe patient discharge from hospital it is necessary to transfer all relevant information in a discharge summary (DS). The aim of this study was to evaluate a bundle of measures to improve the DS for physicians, nurses and patients. METHODS: In a double-blind, randomized, controlled trial, four different versions of DS (2 original, 2 revised) were tested with physicians, nurses and patients. We used an evaluation sheet (Case report form, CRF) with a 6-point Likert scale (1 = completely agree; 6 = strongly disagree). RESULTS: In total, 441 participants (physicians n = 146, nurses n = 140, patients n = 155) were included in the study. Overall, the two revised DS received significant better ratings than the original DS (original 2.8 ± 0.8 vs. revised 2.1 ± 0.9, p < 0.001). Detailed results for the main domains are structured DS (original 1.9 ± 0.9 vs. revised 2.2 ± 1.3, p = 0.015), content (original 2.7 ± 0.9 vs revised 2.0 ± 0.9, p < 0.001) and comprehensibility (original 3.8 ± 1.2vs. revised 2.3 ± 1.2, p < 0.001). CONCLUSION: With simple measures like avoiding abbreviations and describing indications or therapies with fixed contents, the DS can be significantly improved for physicians, nurses and patients at the same time. TRIAL REGISTRATION: First registration 13/11/2020 NCT04628728 at www. CLINICALTRIALS: gov , Update 15/03/2023.

Timing of follow-up visits after hospital discharge for COPD: Application of a new method.

RATIONALE: A common strategy to reduce COPD readmissions is to encourage patient follow-up with a physician within 1 to 2 weeks of discharge, yet evidence confirming its benefit is lacking. We used a new study design called target randomized trial emulation to determine the impact of follow-up visit timing on patient outcomes. METHODS: All Ontario residents aged 35 or older discharged from a COPD hospitalization were identified using health administrative data and randomly assigned to those who received and did not receive physician visit follow-up by within seven days. They were followed to all-cause emergency department visits, readmissions or death. Targeted randomized trial emulation was used to adjust for differences between the groups. COPD emergency department visits, readmissions or death was also considered. RESULTS: There were 94,034 patients hospitalized with COPD, of whom 73.5% had a physician visit within 30 days of discharge. Adjusted hazard ratio for all-cause readmission, emergency department visits or death for people with a visit within seven days post discharge was 1.03 (95% Confidence Interval [CI]: 1.01-1.05) and remained around 1 for subsequent days; adjusted hazard ratio for the composite COPD events was 0.97 (95% CI 0.95-1.00) and remained significantly lower than 1 for subsequent days. CONCLUSION: While a physician visit after discharge was found to reduce COPD events, a specific time period when a physician visit was most beneficial was not found. This suggests that follow-up visits should not occur at a predetermined time but be based on factors such as anticipated medical need.

The impact of discharge letter content on unplanned hospital readmissions within 30 and 90 days in older adults with chronic illness - a mixed methods study.

BACKGROUND: Care transitions are high-risk processes, especially for people with complex or chronic illness. Discharge letters are an opportunity to provide written information to improve patients' self-management after discharge. The aim of this study is to determine the impact of discharge letter content on unplanned hospital readmissions and self-rated quality of care transitions among patients 60 years of age or older with chronic illness. METHODS: The study had a convergent mixed methods design. Patients with chronic obstructive pulmonary disease or congestive heart failure were recruited from two hospitals in Region Stockholm if they were living at home and Swedish-speaking. Patients with dementia or cognitive impairment, or a "do not resuscitate" statement in their medical record were excluded. Discharge letters from 136 patients recruited to a randomised controlled trial were coded using an assessment matrix and deductive content analysis. The assessment matrix was based on a literature review performed to identify key elements in discharge letters that facilitate a safe care transition to home. The coded key elements were transformed into a quantitative variable of "SAFE-D score". Bivariate correlations between SAFE-D score and quality of care transition as well as unplanned readmissions within 30 and 90 days were calculated. Lastly, a multivariable Cox proportional hazards model was used to investigate associations between SAFE-D score and time to readmission. RESULTS: All discharge letters contained at least five of eleven key elements. In less than two per cent of the discharge letters, all eleven key elements were present. Neither SAFE-D score, nor single key elements correlated with 30-day or 90-day readmission rate. SAFE-D score was not associated with time to readmission when adjusted for a range of patient characteristics and self-rated quality of care transitions. CONCLUSIONS: While written summaries play a role, they may not be sufficient on their own to ensure safe care transitions and effective self-care management post-discharge. TRIAL REGISTRATION: Clinical Trials. giv, NCT02823795, 01/09/2016.

Impact of the COVID-19 pandemic on the complete rehabilitation journey of hip fracture patients in Italy: From surgical admission to rehabilitation facility discharge.

INTRODUCTION: The COVID-19 pandemic led to a significant reorganization of health services, potentially affecting the quality of care for major public health concerns such as proximal femoral fractures. This study aimed to investigate potential changes in the timing of various steps in the patient journey after a hip fracture during the pandemic in Piedmont, a region in Northern Italy. METHODS: A retrospective study was conducted on the discharge records of patients aged 65 or older who were admitted for hip surgery following a femur fracture in 2019 and 2020. The study examined four-time steps: duration from hospital admission to surgery, length of hospital stay, interval between hospital discharge and admission to the rehabilitation facility, and duration of stay at the rehabilitation facility. To mitigate biases linked to sex and age factors, groups well-balanced across 2019 and 2020 were created using propensity score estimation. RESULTS: The dataset consisted of two cohorts of 583 patients each for the years 2019 and 2020. The average duration from admission to surgery was approximately 1.9 days in both years, with 75% of patients undergoing surgery within 2 days of hospital admission. The average hospital stay reduced from 13.49 days in 2019 to 11.34 days in 2020. The gap between hospital discharge and admission to rehabilitation was approximately 10-12 days, and the average duration of stay at the rehabilitation facility was about 31.6 days. DISCUSSION: The study indicates that healthcare systems can exhibit resilience and adaptability, even during a global pandemic, to ensure high-quality and safe standards of care. However, further long-term studies are needed to fully understand the pandemic's impact on primary health outcomes following hip replacement surgery and subsequent rehabilitation. The potential role of telemedicine in reducing the time between steps also warrants further investigation.

Discharge teaching quality positively predicts quality of life in colorectal cancer patients with temporary enterostomy: The mediating role of readiness for hospital discharge and stoma self-efficacy.

OBJECTIVES: This study aimed to examine the mediating role of readiness for hospital discharge (RHD) and stoma self-efficacy (SSE) in the relationship between quality of discharge teaching (QDT) and health-related quality of life (HRQOL) in colorectal cancer patients with temporary enterostomy, and the gender difference of mediating effect. BACKGROUND: It is not clear how RHD, QDT, SSE and HRQOL interact in colorectal cancer patients with temporary enterostomy. METHODS: This was a prospective follow-up survey. 221 colorectal cancer patients with temporary enterostomy were conveniently recruited from a general hospital in Southeast China. The Quality of Discharge Teaching Scale, Readiness for Hospital Discharge Scale, Stoma Self-Efficacy Scale, and Stoma Quality of Life Scale were used to collect data. Pearson's correlation and structural equation models were used to analyze the data. SPSS 26.0 and Amos 28.0 software were used for analysis the collected data. RESULTS: Regarding the relationship of QDT and HRQOL, only QDT-T had a direct effect among colorectal cancer patients with stomas (b = 0.233, P<0.001, percentile 95% CI = [0.145, 0.314]). However, both QDT-T and QDT-R can predict HRQOL indirectly through three paths: (1) the mediating role of SSE (b = 0.050, P = 0.009, percentile 95% CI = [0.013, 0.098]; b = 0.077, P = 0.008, percentile 95% CI = [0.021, 0.164]), (2) the mediating role of RHD (b = 0.044, P = 0.004, percentile 95% CI = [0.014, 0.085]; b = 0.044, P = 0.005, percentile 95% CI = [0.010, 0.102]), and (3) the chain mediating role of SSE and RHD (b = 0.030, P = 0.003, percentile 95% CI = [0.011, 0.059]; b = 0.047, P = 0.003, percentile 95% CI = [0.015, 0.103]). The similar chain mediating effect in male stoma patients was also found (b = 0.041, P = 0.002, percentile 95% CI = [0.016, 0.080]; b = 0.046, P = 0.004, percentile 95% CI = [0.011, 0.114]). CONCLUSIONS: Stoma self-efficacy and readiness for hospital discharge played important intermediary roles in the relationship between quality of discharge teaching and health-related quality of life in colorectal cancer patients with stomas. Health care providers can design SSE-enhancing and RHD-enhancing discharge planning for colorectal cancer patients with temporary enterostomies.

Resilience and quality of life in patients who underwent mechanical ventilation due to COVID-19, one year after discharge: a cross-sectional study.

BACKGROUND: Patients with COVID-19 often experience severe long-term sequelae. This study aimed to assess resilience and Quality of Life (QoL) of patients who underwent mechanical ventilation due to COVID-19, one year after discharge. METHODS: This cross-sectional study enrolled patients who received mechanical ventilation for severe COVID-19 and were assessed one-year post-discharge. Participants completed a structured questionnaire via telephone comprising the Connor-Davidson Resilience Scale (CD-RISC) and the Post-COVID-19 Functional Status scale (PCFS). To establish the association between QoL and resilience, Spearman correlations were calculated between the PCFS and the CD-RISC. Linear regression models were adjusted to evaluate which factors were associated with QoL, with the total score of PCFS as the dependent variable. RESULTS: A total of 225 patients were included in the analysis. The CD-RISC had a median score of 83 (IQR 74-91). The PCFS results showed that 61.3% (n = 138) of the patients were able to resume their daily activities without limitations. Among them, 37.3% (n = 84) were classified as Grade 0 and 24% (n = 54) as Grade 1. Mild and moderate functional limitations were found in 33.7% of the patients, with 24.8% (n = 56) classified as Grade 2 and 8.8% (n = 20) as Grade 3. Severe functional limitations (Grade 4) were observed in 4.8% (n = 11) of the patients. High CD-RISC scores were associated with lower levels of PCFS score (p < 0.001). CONCLUSIONS: In this cohort of critically ill patients who underwent mechanical ventilation due to COVID-19, 38% of patients experienced a significant decline in their QoL one year after hospital discharge. Finally, a high level of resilience was strongly associated with better QoL one year after discharge.

Post-Intensive Care Syndrome - An Opportunity For Collaborative Transition Between the Intensive and Primary Settings.

Critical care advancements have allowed clinicians to discover the many functional disabilities that survivors suffer. Recent research has focused on improving the long-term outcomes of critical illness survivors and optimizing their functional recovery. Post-intensive care syndrome (PICS) describes the disability that remains in those surviving critical illness following discharge from the intensive care unit (ICU). This comprises impairment in cognition, neuropsychiatric health, and physical function of the ICU survivor. Consequent to this, the health of family members of the survivor may also be affected adversely, termed PICS-family. PICS is defined as a new or worsening impairment in physical (ICU-acquired neuromuscular weakness), cognitive (thinking and judgment), or mental health status arising after critical illness and persisting beyond discharge from the acute care setting.

Nurse-Sensitive Indicators as Predictors of Trauma Patient Discharge Disposition.

BACKGROUND: About 3.5 million trauma patients are hospitalized every year, but 35%-40% require further care after discharge. Nurses' ability to affect discharge disposition by minimizing the occurrence of nurse-sensitive indicators (catheter-associated urinary tract infection [CAUTI], central line-associated bloodstream infection [CLABSI], and hospital-acquired pressure injury [HAPI]) is unknown. These indicators may serve as surrogate measures of quality nursing care. OBJECTIVE: The purpose of this study was to determine whether nursing care, as represented by three nurse-sensitive indicators (CAUTI, CLABSI, and HAPI), predicts discharge disposition in trauma patients. METHODS: This study was a secondary analysis of the 2021 National Trauma Data Bank. We performed logistic regression analyses to determine the predictive effects of CAUTI, CLABSI, and HAPI on discharge disposition, controlling for participant characteristics. RESULTS: A total of n = 29,642 patients were included, of which n = 21,469 (72%) were male, n = 16,404 (64%) were White, with a mean (SD) age of 44 (14.5) and mean (SD) Injury Severity Score of 23.2 (12.5). We created four models to test nurse-sensitive indicators, both individually and compositely, as predictors. While CAUTI and HAPI increased the odds of discharge to further care by 1.4-1.5 and 2.1 times, respectively, CLABSI was not a statistically significant predictor. CONCLUSIONS: Both CAUTI and HAPI are statistically significant predictors of discharge to further care for patients after traumatic injury. High-quality nursing care to prevent iatrogenic complications can improve trauma patients' long-term outcomes.

Post-discharge sedentary behavior and light-intensity physical activity-associated stroke recurrence in patients with minor ischemic stroke: A preliminary retrospective observational study.

BACKGROUND AND PURPOSE: Evidence regarding whether reducing sedentary behavior and increasing physical activity levels to prevent stroke recurrence is insufficient. Therefore, this study preliminarily investigated whether post-discharge sedentary behavior and physical activity levels in patients with minor ischemic stroke were associated with stroke recurrence. METHODS: This retrospective observational study included 73 patients (aged 72.0 years) with minor ischemic stroke from a previous study. The outcome was recurrent stroke 2 years after stroke onset, assessed using medical records. Exposure factors including sedentary behavior and physical activity levels 6 months post-discharge were measured using accelerometers; patients were classified into the recurrence or non-recurrence groups. Logistic regression analyses were then conducted to determine whether sedentary behavior and physical activity 6 months after discharge were associated with stroke recurrence. RESULTS: Six patients experienced stroke recurrence (recurrence rate, 8.2%). The recurrence group showed greater sedentary behavior (recurrence group 68.0%, non-recurrence group 52.0%, p = 0.007) and less light-intensity physical activity (LPA) (recurrence group 21.0%, non-recurrence group 37.0%, p = 0.002) than in the non-recurrence group. Logistic regression analysis showed that sedentary behavior (odds ratio = 1.083, 95% confidence interval = 1.007-1.165, p = 0.032) and LPA (odds ratio = 0.874, 95% confidence interval = 0.785-0.975, p = 0.015) were independent factors for recurrence of stroke. DISCUSSION: Post-discharge sedentary behavior and LPA in patients with minor ischemic stroke were associated with stroke recurrence. Results suggest that reducing post-discharge sedentary behavior and increasing LPA may be crucial for reducing the risk of stroke recurrence in patients with minor ischemic stroke.

Days Alive and Out of Hospital as an Outcome Measure in Patients Receiving Hyperacute Stroke Intervention.

BACKGROUND: Patient outcome after stroke is frequently assessed with clinical scales such as the modified Rankin Scale score (mRS). Days alive and out of hospital at 90 days (DAOH-90), which measures survival, time spent in hospital or rehabilitation settings, readmission and institutionalization, is an objective outcome measure that can be obtained from large administrative data sets without the need for patient contact. We aimed to assess the comparability of DAOH with mRS and its relationship with other prognostic variables after acute stroke reperfusion therapy. METHODS AND RESULTS: Consecutive patients with ischemic stroke treated with intravenous thrombolysis or endovascular thrombectomy were analyzed. DAOH-90 was calculated from a national minimum data set, a mandatory nationwide administrative database. mRS score at day 90 (mRS-90) was assessed with in-person or telephone interviews. The study included 1278 patients with ischemic stroke (714 male, median age 70 [59-79], median National Institutes of Health Stroke Scale score 14 [9-20]). Median DAOH-90 was 71 [29-84] and median mRS-90 score was 3 [2-5]. DAOH-90 was correlated with admission National Institutes of Health Stroke Scale score (Spearman rho -0.44, P<0.001) and Alberta Stroke Program Early CT [Computed Tomography] Score (Spearman rho 0.24, P<0.001). There was a strong association between mRS-90 and DAOH-90 (Spearman rho correlation -0.79, P<0.001). Area under receiver operating curve for predicting mRS score >0 was 0.86 (95% CI, 0.84-0.88), mRS score >1 was 0.88 (95% CI, 0.86-0.90) and mRS score >2 was 0.90 (95% CI, 0.89-0.92). CONCLUSIONS: In patients with stroke treated with reperfusion therapies, DAOH-90 shows reasonable comparability to the more established outcome measure of mRS-90. DAOH-90 can be readily obtained from administrative databases and therefore has the potential to be used in large-scale clinical trials and comparative effectiveness studies.