[Long-duration home hospitalization: the impacts of socio-demographic and clinical factors and care pathways]. / Séjours longs en hospitalisation à domicile : impacts des facteurs sociodémographiques, cliniques et des parcours de soins.

INTRODUCTION: Although considerable literature exists concerning duration of stay in hospital settings, particularly for long-duration patients, we have little or no information about those hospitalized at home (HAH). We have studied the socio-demographic, clinical characteristics and care pathways of patients having undergone long-duration HAH. METHODS: One hundred and twenty-eight non-obstetric patients having undergone at least seven months of home hospitalization in 2018 and 2019 under the aegis of Assistance publique-Hôpitaux de Paris (AP-HP) were included and compared with 12381 shorter-duration patients. Data came from the French medicalized information system program (PMSI). A multivariate logistic regression model was developed and a descriptive analysis was carried out. RESULTS: Advanced age, residing in a nursing home, living alone, having several caregivers and being socially disadvantaged were associated with long-duration home hospitalization (HAH). These patients more often required complex dressings and palliative care, had more severe functional disability and were more frequently readmitted to hospital or died during the same period. In the multivariate model, advanced age, functional disability and transfer to HAH from conventional hospitalization were associated with increasingly lengthier home hospitalization. CONCLUSION: Long-duration home hospitalization was associated with a number of socio-demographic, clinical and care pathway-related factors. Further study of the advantages and drawbacks of HAH is called for.

Development and Implementation of a Complex Health System Intervention Targeting Transitions of Care from Hospital to Post-acute Care.

BACKGROUND: Failure of effective transitions of care following hospitalization can lead to excess days in the hospital, readmissions, and adverse events. Evidence identifies both patient and system factors that influence poor care transitions, yet health systems struggle to translate evidence into complex interventions that have a meaningful impact on care transitions. OBJECTIVE: We report on our experience developing, pilot testing, and evaluating a complex intervention (Addressing Complex Transitions program, or ACT program) that aims to improve care transitions for complex patients. DESIGN: Following the Medical Research Council (MRC) framework, we engaged in iterative, stakeholder-driven work to develop a complex care intervention, assess feasibility and pilot methods, evaluate the intervention in practice, and facilitate ongoing implementation monitoring and dissemination. PARTICIPANTS: Patients receiving care from UW Medicine's health system including 4 hospitals and 20-site Post-Acute Care network. INTERVENTION: Literature review and prospective data collection activities informed ACT program design. ACT program components include a tailored risk calculator that provides real-time scoring of transitions of care risk factors, a multidisciplinary team with the capacity to address complex barriers to safe transitions, and enhanced discharge workflows to improve care transitions for complex patients. KEY MEASURES: Program evaluation metrics included estimated hospital days saved and program acceptance by care team members. KEY RESULTS: During the 6-month pilot, 565 patients were screened and 97 enrolled in the ACT program. An estimated 664 hospital days were saved for the index admission of ACT program participants. Analysis of pre/post-hospital utilization for ACT program participants showed an estimated 3227 fewer hospital days after ACT program enrollment. CONCLUSIONS: Health systems need to address increasingly difficult challenges in care delivery. The use of evidence-based frameworks, such as the MRC framework, can guide systems to design complex interventions that respond to their local context and stakeholder needs.

Development and validation of a novel risk classification tool for predicting long length of stay in NICU blood transfusion infants.

Newborns are as the primary recipients of blood transfusions. There is a possibility of an association between blood transfusion and unfavorable outcomes. Such complications not only imperil the lives of newborns but also cause long hospitalization. Our objective is to explore the predictor variables that may lead to extended hospital stays in neonatal intensive care unit (NICU) patients who have undergone blood transfusions and develop a predictive nomogram. A retrospective review of 539 neonates who underwent blood transfusion was conducted using median and interquartile ranges to describe their length of stay (LOS). Neonates with LOS above the 75th percentile (P75) were categorized as having a long LOS. The Least Absolute Shrinkage and Selection Operator (LASSO) regression method was employed to screen variables and construct a risk model for long LOS. A multiple logistic regression prediction model was then constructed using the selected variables from the LASSO regression model. The significance of the prediction model was evaluated by calculating the area under the ROC curve (AUC) and assessing the confidence interval around the AUC. The calibration curve is used to further validate the model's calibration and predictability. The model's clinical effectiveness was assessed through decision curve analysis. To evaluate the generalizability of the model, fivefold cross-validation was employed. Internal validation of the models was performed using bootstrap validation. Among the 539 infants who received blood transfusions, 398 infants (P75) had a length of stay (LOS) within the normal range of 34 days, according to the interquartile range. However, 141 infants (P75) experienced long LOS beyond the normal range. The predictive model included six variables: gestational age (GA) (< 28 weeks), birth weight (BW) (< 1000 g), type of respiratory support, umbilical venous catheter (UVC), sepsis, and resuscitation frequency. The area under the receiver operating characteristic (ROC) curve (AUC) for the training set was 0.851 (95% CI 0.805-0.891), and for the validation set, it was 0.859 (95% CI 0.789-0.920). Fivefold cross-validation indicates that the model has good generalization ability. The calibration curve demonstrated a strong correlation between the predicted risk and the observed actual risk, indicating good consistency. When the intervention threshold was set at 2%, the decision curve analysis indicated that the model had greater clinical utility. The results of our study have led to the development of a novel nomogram that can assist clinicians in predicting the probability of long hospitalization in blood transfused infants with reasonable accuracy. Our findings indicate that GA (< 28 weeks), BW(< 1000 g), type of respiratory support, UVC, sepsis, and resuscitation frequency are associated with a higher likelihood of extended hospital stays among newborns who have received blood transfusions.

Survival in hospice patients with dementia: the effect of home hospice and nurse visits.

BACKGROUND: Hospice patients with dementia are at increased risk for live discharge and long lengths of stay (>180 days), causing patient and family caregiver stress and burden. The location and timing of clinician visits are important factors influencing whether someone dies as expected, in hospice, or experiences a live discharge or long length of stay. OBJECTIVE: Examine how home hospice and nurse visit frequency relate to dying in hospice within the Medicare-intended 6-month period. DESIGN: Retrospective cohort study. SETTING: Non-profit hospice agency. PARTICIPANTS: Three thousand eight hundred and thirty seven patients with dementia who received hospice services from 2013 to 2017. METHODS: Multivariable survival analyses examined the effects of receiving home hospice (vs. nursing home) and timing of nurse visits on death within 6 months of hospice enrollment, compared to live discharge or long length of stay. Models adjust for relevant demographic and clinical factors. RESULTS: Thirty-nine percent (39%) of patients experienced live discharge or long length of stay. Home hospice patients were more likely to experience live discharge or long length of stays (HR for death: 0.77, 95%CI: 0.69-0.86, p < 0.001). Frequency of nurse visits was inversely associated with live discharge and long lengths of stay (HR for death: 2.87, 95%CI: 2.47-3.33, p < 0.001). CONCLUSION: Nearly 40% of patients with dementia in our study experienced live discharge or a long length of stay. Additional research is needed to understand why home hospice may result in live discharge or a long length of stay for patients with dementia. Nurse visits were associated with death, suggesting their responsiveness to deteriorating patient health. Hospice guidelines may need to permit longer stays so community-dwelling patients with dementia, a growing segment of hospice patients, can remain continuously enrolled in hospice and avoid burden and costs associated with live discharge.