Evidence map›Paper›PMID 40705263›Full record

ArticleAnnals of surgical oncology2025

Homecare After Cancer Surgery for Older Adults: Derivation and Validation of a Predictive Tool.

Julie Hallet, Tiago Ribeiro, Alyson L Mahar, Wing C Chan, Daniel I McIsaac, Anna Gombay, Anna Ding, Jessica Armah, Natalie Coburn, Amy T Hsu and 1 more

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Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Julie HalletDepartment of Surgery, University of Toronto, Toronto, ON, Canada. julie.hallet@sunnybrook.ca.
Tiago RibeiroDepartment of Surgery, University of Toronto, Toronto, ON, Canada.
Alyson L MaharClinical Evaluative Sciences, Sunnybrook Research Institute, Toronto, ON, Canada.
Wing C ChanICES, Toronto, ON, Canada.
Daniel I McIsaacDepartments of Anesthesiology and Pain Medicine, University of Ottawa and The Ottawa Hospital, Ottawa, ON, Canada.
Anna GombayClinical Evaluative Sciences, Sunnybrook Research Institute, Toronto, ON, Canada.
Anna DingClinical Evaluative Sciences, Sunnybrook Research Institute, Toronto, ON, Canada.
Jessica ArmahClinical Evaluative Sciences, Sunnybrook Research Institute, Toronto, ON, Canada.
Natalie CoburnDepartment of Surgery, University of Toronto, Toronto, ON, Canada.
Amy T HsuOttawa Hospital Research Institute, Ottawa, ON, Canada.
members of the REcovery after Surgical Therapy for Older adults Research-Cancer (RESTORE-Cancer) group

Funding

Canadian Institutes for Health Research 419955Canadian Institutes for Health Research Ontario Cancer Research Institute.
6 · The paper itself

Abstract

backgroundNeed for home support after surgery is a patient-centred outcome and marker of functional recovery for older adults. We developed a risk prediction model, HOMECARE, to estimate the risk of using homecare for older adults after cancer surgery.

methodsWe conducted a population-based retrospective cohort study of adults ≥ 70 years having surgery for solid malignancy (2007-2019). Candidate predictors were preoperative sociodemographic and clinical factors. Receipt of immediate (within 1 month) and chronic (at 7-12 months) homecare was predicted. Internal validation used bootstraps with 500 samples with replacement. Logistic regression models were used. The predictive model included age, sex, rural residence, previous cancer diagnosis, frailty, prior homecare use, cancer site, cancer stage, and type of surgery. We performed bootstrap validation by using 500 samples with replacement.

resultsOf 93,883 patients included, 39,169 (41.7%) required immediate homecare; of the 88,252 alive after month 6 postoperatively, 22,031 (25%) required chronic homecare. For immediate homecare, the area-under-the-curve was 0.77 and the deviation of predicted from observed probability was - 0.002% (95% CI 0.004 to - 0.009). For chronic homecare, the area-under-the-curve was 0.76, and the deviation of predicted from observed probabilities was - 0.004% (95% CI 0.002 to - 0.009). Deviation between predicted and observed probabilities ranged from - 0.04 to 0.03% across risk deciles for immediate homecare and - 0.05 to 0.04% for chronic homecare.

conclusionsThe HOMECARE tool presents good discrimination and is well calibrated. Implemented as an online calculator, individualized risk estimates from this tool could support risk communication with older adults selected for cancer surgery.

Indexed as

AftercareHome Care ServicesNeoplasmsAgedAged, 80 and overFemaleFollow-Up StudiesHumansMalePrognosisRetrospective StudiesRisk Assessment

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