Automated symptom alerts reduce postoperative symptom severity after cancer surgery: a randomized controlled clinical trial
- PMID: 21282546
- PMCID: PMC3068055
- DOI: 10.1200/JCO.2010.29.8315
Automated symptom alerts reduce postoperative symptom severity after cancer surgery: a randomized controlled clinical trial
Abstract
Purpose: Patients receiving cancer-related thoracotomy are highly symptomatic in the first weeks after surgery. This study examined whether at-home symptom monitoring plus feedback to clinicians about severe symptoms contributes to more effective postoperative symptom control.
Patients and methods: We enrolled 100 patients receiving thoracotomy for lung cancer or lung metastasis in a two-arm randomized controlled trial; 79 patients completed the study. After hospital discharge, patients rated symptoms twice weekly for 4 weeks via automated telephone calls. For intervention group patients, an e-mail alert was forwarded to the patient's clinical team for response if any of a subset of symptoms (pain, disturbed sleep, distress, shortness of breath, or constipation) reached a predetermined severity threshold. No alerts were generated for controls. Group differences in symptom threshold events were examined by generalized estimating equation modeling.
Results: The intervention group experienced greater reduction in symptom threshold events than did controls (19% v 8%, respectively) and a more rapid decline in symptom threshold events. The difference in average reduction in symptom interference between groups was -0.36 (SE, 0.078; P = .02). Clinicians responded to 84% of e-mail alerts. Both groups reported equally high satisfaction with the automated system and with postoperative symptom control.
Conclusion: Frequent symptom monitoring with alerts to clinicians when symptoms became moderate or severe reduced symptom severity during the 4 weeks after thoracic surgery. Methods of automated symptom monitoring and triage may improve symptom control after major cancer surgery. These results should be confirmed in a larger study.
Conflict of interest statement
Authors' disclosures of potential conflicts of interest and author contributions are found at the end of this article.
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Comment in
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Supporting clinical practice decisions with real-time patient-reported outcomes.J Clin Oncol. 2011 Mar 10;29(8):954-6. doi: 10.1200/JCO.2010.33.2668. Epub 2011 Jan 31. J Clin Oncol. 2011. PMID: 21282536 No abstract available.
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Perspectives of patients on the utility of electronic patient-reported outcomes on cancer care.J Clin Oncol. 2011 Nov 1;29(31):4213-4. doi: 10.1200/JCO.2011.37.9750. Epub 2011 Sep 19. J Clin Oncol. 2011. PMID: 21931027 No abstract available.
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