Shorter acute hospital length of stay in hip fracture patients after surgery predicted by early surgery and mobilization.

UNLABELLED

Time to surgery, early mobilization, fracture type, and ASA grades independently affect acute hospital length of stay after hip fracture surgery. Modifiable factors can be audited to reduce length of stay, and non-modifiable factors can be used for consideration of a tiered bundled payment reimbursement model.

INTRODUCTION

As hip fracture incidence rises with our ageing global population, there will be an increase in consumption of healthcare resources. We hypothesized that hospital management and patient factors can affect healthcare burden load. Using length of stay (LOS) as a surrogate for consumption, the aim of this study is to elucidate the effect of hospital management and patient-related factors on length of stay (LOS) for patients after hip fracture surgery. We studied modifiable and non-modifiable factors influencing LOS, and identification of these modifiable factors accords opportunities for mitigating these factors.

METHODS

This retrospective study examines hip fracture data from a large tertiary hospital in Singapore over the period of 2017 to 2020. Data collected on the electronic medical record included age, gender, race, marital status, payer type, ASA score, TTS, type of surgery, fracture type, POD1 mobilization, discharge position, and presence of pressure sores, and they were correlated with LOS using binary logistic regression on SAS.

RESULTS

A total of 1045 patients were included in this study with 704 females and 341 males. The mean age was 79.5 ± 8.57 years (range 60-105) with an average LOS 13.64 ± 10.0 days (range 2-114). On binary logistic regression, ASA and trochanteric fracture remains a significant non-modifiable factor for LOS with OR = 1.486 (95% CI 1.106, 1.996, p = 0.0086) and OR 1.522 (95% CI 1.149, 2.015, p = 0.0034) respectively. Significant modifiable factors were TTS > 48 h (OR = 1.819, 95% CI 1.205, 2.746, p = 0.0044) and POD1 mobilization (OR = 0.441, 95% CI 0.257, 0.756, p = 0.0029).

CONCLUSIONS

Our analysis showed TTS and POD1 are significant modifiable factors for LOS, and resources can be diverted towards them for the management of hip fracture patients and pre-empting the increasing load on our healthcare system.