An Online Preoperative Screening Tool to Optimize Care for Patients Undergoing Cancer Surgery: A Mixed-Method Study Protocol.

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Tác giả: Kate Alexander, Raaj Kishore Biswas, Patrick Campbell, Sharon Carey, Linda Denehy, Haryana Dhillon, Chelsia Gillis, Nicholas Hirst, Sascha Karunaratne, Cherry Koh, Kate McBride, Alexandria Paige Petridis, Neil Pillinger, Jack Reeves, Bernhard Riedel, Michael Solomon, Daniel Steffens, Kate White

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: Switzerland : Cancers , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 704625

 BACKGROUND/OBJECTIVE: Despite surgery being the primary curative treatment for cancer, patients with compromised preoperative physical, nutritional, and psychological status are often at a higher risk for complications. While various screening tools exist to assess physical, nutritional, and psychological status, there is currently no standardised self-reporting tool, or established cut-off points for comprehensive risk assessment. This study aims to develop, validate, and implement an online self-reporting preoperative screening tool that identifies modifiable risk factors in cancer surgery patients. METHODS: This mixed-methods study consists of three distinct stages: (1) Development-(i) a scoping review to identify available physical, nutritional, and psychological screening tools
  (ii) a Delphi study to gain consensus on the use of available screening tools
  and (iii) a development of the online screening tool to determine patients at high risk of postoperative complications. (2) Testing-a prospective cohort study determining the correlation between at-risk patients and postoperative complications. (3) Implementation-the formulation of an implementation policy document considering feasibility. CONCLUSIONS: The timely identification of high-risk patients, based on their preoperative physical, nutritional, and psychological statuses, would enable referral to targeted interventions. The implementation of a preoperative online screening tool would streamline this identification process while minimising unwarranted variation in preoperative treatment optimisation. This systematic approach would not only support high-risk patients but also allow for more efficient provision of surgery to low-risk patients through effective risk stratification.
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