Clinical pathways reduce length of stay which is critical for hospitals to remain financially sound. We sought to determine if a multimodal pathway focusing on pre-op discharge planning and pre-emptive pain and nausea management lead to reduced length of stay, better pain management, and more rapid functional gains without an increase in post-op complications. A multimodal pathway incorporating pre-op discharge planning and pre-emptive pain and nausea management was initiated in August of 2007. Physical therapy began the day of surgery. Two hundred eleven patients treated over a 3-month period with the new pathway were compared to 192 patients treated in the last 3 months of an older pathway. Length of stay, VAS scores for pain, and the incidence of nausea were compared. Length of time to achieve functional milestones while in hospital and the incidence of complications out to 6 months were compared. Average length of stay was reduced by 0.26 days. VAS scores for pain were lower. Several functional milestones were achieved earlier and complications were not increased. Efforts to control nausea were not successful and severe nausea was experienced in 40% of patients in both groups. This enhanced pathway can lead to an important reduction in length of stay. Although this reduction seems small, it can significantly increase patient throughput and increase hospital capacity. Post-op nausea continues to be an impediment in patient care after TKR.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3026109PMC
http://dx.doi.org/10.1007/s11420-010-9164-1DOI Listing

Publication Analysis

Top Keywords

length stay
24
reduce length
8
multimodal pathway
8
pre-op discharge
8
discharge planning
8
planning pre-emptive
8
pre-emptive pain
8
pain nausea
8
nausea management
8
patients treated
8

Similar Publications

Stoma reversal surgery is known for relatively high complication rates. While Enhanced Recovery After Surgery (ERAS) protocols are extensively validated for colorectal surgery, their use in stoma reversal remains underexplored. This systematic review and meta-analysis evaluates clinical outcomes of stoma reversal surgery under ERAS protocols compared to standard care (SC) practices.

View Article and Find Full Text PDF

Background: Falls are frequently reported within the HSE. The Irish Longitudinal Study on Ageing(TILDA) found that 40% of over 50 s experience a fall in a two year period, with 20% requiring hospital attendance (1). It has been estimated that the cost of injuries related to falls in older people will increase exponentially over the coming years (2).

View Article and Find Full Text PDF

This study aimed to use meta-analytic techniques to evaluate aspirin's safety and effectiveness in treating elderly patients with sepsis. We searched PubMed, Embase, The Cochrane Library, Web of Science and Medline databases for relevant literature, screened and extracted key data and Stata 12.0 was used for comprehensive analysis.

View Article and Find Full Text PDF

Developing a decision support tool to predict delayed discharge from hospitals using machine learning.

BMC Health Serv Res

January 2025

Department of Industrial Engineering, Dalhousie University, PO Box 15000, Halifax, B3H 4R2, NS, Canada.

Background: The growing demand for healthcare services challenges patient flow management in health systems. Alternative Level of Care (ALC) patients who no longer need acute care yet face discharge barriers contribute to prolonged stays and hospital overcrowding. Predicting these patients at admission allows for better resource planning, reducing bottlenecks, and improving flow.

View Article and Find Full Text PDF

Background: Thoracic aortic endovascular repair (TEVAR) is the most commonly employed method for treating type B aortic dissection (TBAD). One of the primary challenges in TEVAR is the reconstruction of the left subclavian artery (LSA). Various revascularization strategies have been utilized, including branch stent techniques, fenestration techniques, chimney techniques, and hybrid techniques.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!