Patient and hospital factors influencing discharge destination following hip fracture

Factors Influencing Initial Rehabilitation Type after Hip Fracture Surgery: A Retrospective Cohort Study

OBJECTIVE

To describe and compare the factors that impact initial rehabilitation type after hip fracture surgery.

DESIGN

Retrospective population-based cohort study.

SETTING AND PARTICIPANTS

People aged between 50 and 105 with a hip fracture who had a surgical repair in Ontario, Canada, between January 1, 2015, and December 31, 2021.

METHODS

Descriptive statistics and a multinomial logistic regression model were used to identify factors associated with initial rehabilitation type.

RESULTS

In this study, 63,401 individuals were included with a mean age of 80 years [standard deviation (SD) 10.9], mostly female (67.3%), with 86.3% living in urban areas at the time of hospitalization and most (72.6%) admitted from the community without home care. A total of 24.5% of individuals did not receive any form of rehabilitation. Rurality of residence decreased the odds of having an initial rehabilitation type in complex continuing care [odds ratio (OR), 0.23; 95% CI, 0.21-0.26], in inpatient rehabilitation (OR, 0.26; 95% CI, 0.24-0.28), or in community rehabilitation (OR, 0.54; 95% CI, 0.50-0.58) compared with no rehabilitation. Dementia decreased the odds of having an initial rehabilitation type in complex continuing care (OR, 0.75; 95% CI, 0.69-0.81), in inpatient rehabilitation (OR, 0.44; 95% CI, 0.41-0.47), or in community rehabilitation (OR, 0.88; 95% CI, 0.82-0.95) compared with receiving no rehabilitation. Previous history of fragility fracture decreased the odds of having an initial rehabilitation type in either complex continuing care (OR, 0.30; 95% CI, 0.27-0.34), in inpatient rehabilitation (OR, 0.27; 95% CI, 0.24-0.29), or in community rehabilitation (OR, 0.33; 95% CI, 0.30-0.37) compared with no rehabilitation.

CONCLUSIONS AND IMPLICATIONS

Rurality of residence, dementia, and previous history of fragility fractures reduced the odds of receiving specialized inpatient rehabilitation and increased the odds of receiving no rehabilitation. Future research should focus on achieving more equitable care for individuals living in rural settings, with dementia, or with previous fragility fractures to enhance the quality of care and achieve best outcomes for the overall hip fracture population.

A systematic literature review of predicting patient discharges using statistical methods and machine learning

Discharge planning is integral to patient flow as delays can lead to hospital-wide congestion. Because a structured discharge plan can reduce hospital length of stay while enhancing patient satisfaction, this topic has caught the interest of many healthcare professionals and researchers. Predicting discharge outcomes, such as destination and time, is crucial in discharge planning by helping healthcare providers anticipate patient needs and resource requirements. This article examines the literature on the prediction of various discharge outcomes. Our review discovered papers that explore the use of prediction models to forecast the time, volume, and destination of discharged patients. Of the 101 reviewed papers, 49.5% looked at the prediction with machine learning tools, and 50.5% focused on prediction with statistical methods. The fact that knowing discharge outcomes in advance affects operational, tactical, medical, and administrative aspects is a frequent theme in the papers studied. Furthermore, conducting system-wide optimization, predicting the time and destination of patients after discharge, and addressing the primary causes of discharge delay in the process are among the recommendations for further research in this field.

Patient, surgical and hospital factors predicting actual first-day mobilisation after hip fracture surgery: An observational cohort study

OBJECTIVES

To examine patient, surgical and hospital factors associated with Day-1 postoperative mobility after hip fracture surgery in older adults.

METHODS

A cohort study using Australia and New Zealand Hip Fracture Registry was conducted. Participants were aged older than 50 years and underwent hip fracture surgery between 1 January 2020 and 31 December 2020 inclusive. The outcome was standing and step transferring out of bed onto a chair and/or walking Day-1 after hip fracture surgery.

RESULTS

Mean age was 82 years and 68% were women. Of 12,318 patients with hip fracture, 5981 (49%) actually mobilised Day-1. Odds of actual first-day mobilisation were lower for individuals usually walking with either stick or crutch (OR = 0.71, 95% CI 0.62-0.82) or two aids or frame (OR = 0.57, 95% CI 0.52-0.64) or wheelchair/bed bound (OR = 0.24, 95% CI 0.17-0.33); who had impaired cognition preadmission (OR = 0.57, 95% CI 0.51-0.64); from aged care facilities (OR = 0.59, 95% CI 0.52-0.67); had an American Society of Anaesthesiologists grade 2 (OR = 0.63, 95% CI 0.41-0.97), 3 (OR = 0.31, 95% CI 0.20-0.47) or 4 or 5 (OR = 0.21, 95% CI 0.14-0.32); surgery delay >48 h (OR = 0.81, 95% CI 0.71-0.91); and restricted/non-weight-bearing status immediately postoperatively (OR = 0.53, 95% CI 0.42-0.67).

CONCLUSIONS

Both non-modifiable and modifiable patient and surgical factors influence first-day mobilisation after hip fracture surgery. Reducing time to surgery might assist future quality improvement efforts to increase Day-1 postoperative mobility.

The role of depression in the association between physiotherapy frequency and duration and outcomes after hip fracture surgery: secondary analysis of the physiotherapy hip fracture sprint audit

PURPOSE

It is not known whether the association between the frequency and duration of physiotherapy and patient outcomes varies for those with and without depression. This study aims to evaluate whether the associations between the frequency and duration of physiotherapy after hip fracture surgery and discharge home, surviving at 30 days post-admission, and being readmitted 30 days post discharge vary by depression diagnosis.

METHODS

Data were from 5005 adults aged 60 and over included in the UK Physiotherapy Hip Fracture Sprint Audit who had undergone surgery for a nonpathological first hip fracture. Logistic regression models were used to estimate the unadjusted and adjusted odds ratios and their 95% confidence intervals for the associations between physiotherapy frequency and duration and outcomes.

RESULTS

Physiotherapy frequency and duration were comparable between patients with and without depression (42.1% and 44.6%). The average adjusted odds for a 30-min increase in physiotherapy duration for those with and without depression for discharge home were 1.05 (95% CI 0.85-1.29) vs 1.16 (95% CI 1.05-1.28, interaction p = 0.36), for 30-day survival were 1.26 (95% CI 1.06-1.50) vs 1.11 (95% CI 1.05-1.17, interaction p = 0.45) and for readmission were 0.89 (95% CI 0.81-0.98) vs 0.97 (95% CI 0.93-1.00, interaction p = 0.09). None of the interaction tests reached formal significance, but the readmission models were close (p = 0.09).

CONCLUSION

Results suggest physiotherapy duration may be negatively associated with readmission in those with depression but not those without depression, while no clear difference in the other outcomes was noted.

Factors associated with non-home discharge of patients hospitalized for hip fracture: A nationwide retrospective study using the Japanese diagnostic procedure combination database

In Japan, the length of stay in acute care hospitals has been shortened, home medical care has been promoted following national policy. However, many issues remain in promoting home medical care. The aim of this study was to clarify the profiles of patients with hip fractures, aged ≥ 65 years, who were hospitalized in acute care institutions at the time of discharge and the influence on nonhome discharge. This study used data from patients who satisfied all the following conditions: Patients aged ≥ 65 years who were hospitalized and discharged between April 2018 and March 2019; Patients with hip fractures, and; Patients who were admitted from home. The patients were classified into the home discharge and nonhome discharge groups. Multivariate analysis was conducted by comparing socio-demographic status, patient background factors, patient status at discharge, and hospital function. This study included 31,752 patients (73.7%) and 11,312 patients (26.3%) in the nonhome discharge group and home discharge group, respectively. Overall, the proportions of males and females were 22.2% and 77.8%, respectively. The average (standard deviation) age of the patients was 84.1 years (7.4) and 81.3 years (8.5) in the nonhome discharge and home discharge groups, respectively (P < .01). The following factors affected nonhome discharge: 75 to 84 years (odds ratio [OR] = 1.81, 95% confidence interval [CI] = 1.68-1.96), ≥85 years (OR = 2.17, 95% CI = 2.01-2.36), electrocardiography or respiratory treatment "(Factor A3) (OR = 1.44, 95% CI = 1.23-1.68), level of assistance with activities of daily living "(Factor B1)" (OR = 4.56, 95% CI = 4.22-4.92), and hospital where the patient-to-nurse ratio is 7:1 (OR = 2.12, 95% CI = 1.91-2.35). The results suggested that support from activities of daily living caregivers and implementing medical treatments such as respiratory care are required to advance home medical care. This study's method enables analysis focusing on aspiration pneumonia and cerebral infarction, which are common among older adults. Furthermore, specific measures for promoting home medical care for patients who are highly dependent on medical and long-term care may be developed.

Construction and validation of a risk prediction model for delayed discharge in elderly patients with hip fracture

BACKGROUND

Because of their poor physical state, elderly hip fracture patients commonly require prolonged hospitalization, resulting in a drop in bed circulation rate and an increased financial burden. There are currently few predictive models for delayed hospital discharge for hip fractures. This research aimed to develop the optimal model for delayed hospital discharge for hip fractures in order to support clinical decision-making.

METHODS

This case-control research consisted of 1259 patients who were continuously hospitalized in the orthopedic unit of an acute hospital in Tianjin due to a fragility hip fracture between January and December 2021. Delayed discharge was defined as a hospital stay of more than 11 days. The prediction model was constructed through the use of a Cox proportional hazards regression model. Furthermore, the constructed prediction model was transformed into a nomogram. The model's performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration curves and decision curve analysis (DCA). the STROBE checklist was used as the reporting guideline.

RESULTS

The risk prediction model developed contained the Charlson Comorbidity Index (CCI), preoperative waiting time, anemia, hypoalbuminemia, and lower limbs arteriosclerosis. The AUC for the risk of delayed discharge was in the training set was 0.820 (95% CI,0.79 ~ 0.85) and 0.817 in the testing sets. The calibration revealed that the forecasted cumulative risk and observed probability of delayed discharge were quite similar. Using the risk prediction model, a higher net benefit was observed than when considered all patients were at high risk, demonstrating good clinical usefulness.

CONCLUSION

Our prediction models could support policymakers in developing strategies for the optimal management of hip fracture patients, with a particular emphasis on individuals at high risk of prolonged LOS.