Seniors Cancer: Post-Op Home Recovery Predictor Tool
Assess yoru post-op future: The STAYHOME model offers a vital tool too predict whether older adults will need nursing home care after cancer surgery. This innovative model, created using data from nearly 100,000 community-dwelling older adults, analyzes crucial factors like age, sex, and overall frailty. The goal is to improve surgical oncology care and enhance the recovery of seniors. The study revealed notable accuracy in projecting nursing home admissions at both six and twelve months. While it has limitations, the model gives individualized risk assessments, helping patients, their families, and healthcare professionals.This information comes to you via News Directory 3. Discover what’s next in cancer care innovations.
STAYHOME Model Predicts nursing Home Risk After Cancer Surgery
Updated June 30,2025
A new risk prediction model,STAYHOME,can help estimate the likelihood of older adults needing nursing home care following cancer surgery.The model, developed and validated among 97,353 community-dwelling older adults, factors in preoperative variables to provide individualized risk assessments.
The STAYHOME tool considers elements such as age, sex, rural residence, prior cancer diagnosis, surgery type, frailty, home care support, neoadjuvant therapy, cancer site, and cancer stage. Researchers,seeking to improve surgical oncology care delivery,measured the primary outcome as the time to nursing home admission at both six and 12 months post-surgery.
Julie Hallet, MD, of the Odette Cancer Center, Sunnybrook Health Sciences Centre in Toronto, Ontario, led the study. The findings, published in JAMA surgery, highlight the importance of long-term functional independence for older adults undergoing cancer surgery.
The study found that 2.7% of patients were admitted to a nursing home at six months, and 3.8% at 12 months. The STAYHOME tool predicted a 2.4% risk at six months and a 3.4% risk at 12 months. The model demonstrated strong predictive capabilities, with good calibration and minimal deviation from observed risks.
“The STAYHOME tool demonstrated good discrimination and was well calibrated.Thus, it may be a useful tool to identify a specific group of individuals at risk of not remaining home,” the authors wrote. “[The tool] used information readily available to patients, care partners, and healthcare professionals and may be implemented to provide them with individualized risk estimates and improve surgical oncology care delivery and experience for older adults.”
While the STAYHOME model showed strong overall performance in predicting the need for nursing home placement after cancer surgery,researchers noted some limitations. The tool’s accuracy was slightly reduced for individuals with preoperative frailty, those receiving preoperative home care, patients undergoing neoadjuvant therapy, and those with stage IV disease. Additionally, the model tended to overestimate risk in higher-risk categories.
What’s next
the STAYHOME model offers a valuable tool for identifying older adults at risk of losing their ability to live at home after cancer surgery. Future research could focus on refining the model and exploring interventions to mitigate the identified risks, ultimately improving the surgical experience and outcomes for this vulnerable population.