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Electronic Patient-Reported Symptoms After Ambulatory Cancer Surgery.

Jennifer R Cracchiolo1, Amy L Tin2, Melissa Assel2

  • 1Head and Neck Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.

JAMA Surgery
|March 13, 2024
PubMed
Summary
This summary is machine-generated.

Remote symptom monitoring (RSM) using electronic patient-reported outcomes (ePROs) in ambulatory cancer surgery patients showed modest symptom burden, with pain and fatigue most common. This data aids in setting patient expectations and improving care.

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Area of Science:

  • Oncology
  • Surgical Oncology
  • Digital Health

Background:

  • Complex cancer surgeries are increasingly performed in ambulatory settings.
  • Remote symptom monitoring (RSM) with electronic patient-reported outcomes (ePROs) can identify high-risk patients.
  • Defining normal recovery patterns is crucial for patient expectations and clinical management.

Purpose of the Study:

  • To describe postoperative recovery patterns in ambulatory cancer surgery patients using RSM via the Recovery Tracker ePRO platform.

Main Methods:

  • Retrospective cohort study of 12,433 patients undergoing 5 common cancer surgeries (prostatectomy, nephrectomy, mastectomy, hysterectomy, thyroidectomy).
  • Patients used the Recovery Tracker ePRO platform for 10 days post-surgery.
  • Data analyzed for symptom severity and interference by postoperative day and procedure.

Main Results:

  • High survey response rate (87%) with brief completion times (median 1.7 minutes).
  • Modest overall symptom burden, peaking on postoperative days 1-3.
  • Pain and fatigue were the most reported symptoms, with severe instances rare (3% and 1% respectively).
  • Nephrectomy, mastectomy with reconstruction, and prostatectomy showed highest maximum pain severity.

Conclusions:

  • Detailed postoperative symptom burden data from RSM can inform implementation and maintenance of digital health programs in surgical oncology.
  • Findings enhance patient education, set realistic expectations, and support iterative improvements in post-discharge clinical care.