Innominato, Pasquale F., Komarzynski, Sandra, Dallmann, Robert, Wreglesworth, Nicholas, Bouchahda, Mohamed, Karaboué, Abdoulaye, Ulusakarya, Ayhan, Subbe, Christian, Spiegel, David and Lévi, Francis A. (2021) Impact of assessment frequency of patient-reported outcomes : an observational study using an eHealth platform in cancer patients. Supportive Care In Cancer, 29 . pp. 6167-6170. doi:10.1007/s00520-021-06262-1 ISSN 0941-4355.
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Abstract
Background and aim
The evaluation of patient-reported outcomes (PRO) in cancer has proven relevant positive clinical impact on patients’ communication with healthcare professionals, decision-making for management, well-being, and overall survival. However, the optimal frequency of PRO assessment has yet to be defined. Based on the assumption that more frequent sampling would enhance accuracy, we aimed at identifying the optimal sampling frequency that does not miss clinically relevant insight.
Methods
We used pilot data from 31 advanced cancer patients who completed once daily the 19-item MD Anderson Symptom Inventory at home. The resulting dataset allowed us to compare different PRO assessment frequencies to daily sampling, i.e., alternate days (q2d), every third day (q3d), or once a week (q1w). We evaluated the sampling frequencies for two main outcomes: average symptom intensity and identification of severe symptoms.
Results
The majority of the differences between corresponding averages of daily data and those for q2d, q3d, and q1w datasets were close to 0, yet the extremes exceeded 5. Clinically meaningful differences, i.e., > 1, were observed in 0.76% of patient items for q2d, in 2.72% for q3d, and in 11.93% for q1w. Moreover, median values of missed instances of a severe symptom (i.e., > 6) were 14.6% for q2d, 27.8% for q3d, and 55.6% for q1w.
Conclusions
Our analysis suggests that in patients receiving chemotherapy for advanced cancer, increasing the density of PRO collection enhances the accuracy of PRO assessment to a clinically meaningful extent. This is valid for both computations of averages symptom burden and for the recognition of episodes of severe symptom intensity.
| Item Type: | Journal Article |
|---|---|
| Subjects: | R Medicine > RA Public aspects of medicine R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer) |
| Divisions: | Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Biomedical Sciences Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School |
| Library of Congress Subject Headings (LCSH): | Cancer, Outcome assessment (Medical care) -- Methodology, Patient satisfaction, Medical Informatics, Oncology |
| Journal or Publication Title: | Supportive Care In Cancer |
| Publisher: | Springer |
| ISSN: | 0941-4355 |
| Official Date: | November 2021 |
| Dates: | Date Event November 2021 Published 8 May 2021 Available 28 April 2021 Accepted |
| Volume: | 29 |
| Page Range: | pp. 6167-6170 |
| DOI: | 10.1007/s00520-021-06262-1 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Re-use Statement: | This is a post-peer-review, pre-copyedit version of an article published in Supportive Care In Cancer. The final authenticated version is available online at: https://doi.org/10.1007/s00520-021-06262-1. |
| Access rights to Published version: | Restricted or Subscription Access |
| Date of first compliant deposit: | 4 May 2021 |
| Date of first compliant Open Access: | 8 May 2022 |
| URI: | https://wrap.warwick.ac.uk/152002/ |
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