Abstract
Background
Improvements in cancer treatment have increased the number of cancer survivors, but also increased the long-term and late effects from cancer therapy. Patient reported “side effect bother” could be used to measure the burden of treatment, and the risk for negative outcomes such as dose reduction, treatment delay or discontinuation. The current study addresses the psychometric properties of a single item, determines what represents a “meaningful change”, and evaluates the correlation to safety endpoints and functioning.
Methods
Results from 5911 patients enrolled in 8 clinical trials representing 5 disease types in oncology and hematology who completed either the Functional Assessment of Cancer Therapy (FACT) GP5 item or a modified bother item (MBI) were assessed.
Results
Patients ranged in age from 18 to 93 years, with all cancer stages represented and approximately equal numbers of males and females. Test–retest reliability was acceptable, as were convergent and known groups validity. The GP5 and MBI effectively demonstrated sensitivity to change over time and established meaningful thresholds.
Conclusions
The results indicate that these single-items are psychometrically sound, capable of distinguishing known groups, responsive to change and can identify meaningful change over time in terms of treatment-related symptoms. It extends the findings of recent scientific groups by providing analyses not included in prior studies, and further supports the FDA’s recommendation to include a single item question in clinical trials.
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Data availability
For eligible studies, qualified researchers may request access to individual patient level clinical data through a data request platform. At the time of writing this request, the platform is Vivli. https://vivli.org/ourmember/roche/. For up-to-date details on Roche's Global Policy on the Sharing of Clinical Information and how to request access to related clinical study documents, see here: https://go.roche.com/data_sharing. Anonymised records for individual patients across more than one data source external to Roche cannot, and should not, be linked due to a potential increase in risk of patient re-identification.
References
American Cancer Society. (2022). Cancer facts & figures 2022. American Cancer Society.
Sciotto, F., Py, C., & Tsantoulis, P. (2017). Follow up of the long-term cancer survivor. Revue Médicale Suisse, 13, 1044–1048.
Pearman, T. P., Garcia, S., Penedo, F., Yanez, B., Wagner, L. I., & Cella, D. (2015). Implementation of distress screening in an oncology setting. The Journal of Community and Supportive Oncology, 13, 423–428.
Schirrmacher, V. (2019). From chemotherapy to biological therapy: A review of novel concepts to reduce the side effects of systemic cancer treatment. International Journal of Oncology, 54, 407–419.
Cheung, W. Y., White, M. K., Bayliss, M. S., Stroupe, A., Lovley, A., King-Kalimannis, B. L., & Lasch, K. (2019). Patient-reported treatment-related symptom burden for patients with advanced melanoma in Canada. Supportive Care in Cancer, 27, 219–227.
Bernhard, J., Maibach, R., Thurlimann, B., Sessa, C., & Aapro, M. S. (2002). Patients’ estimation of overall treatment burden: Why not ask the obvious? Journal of Clinical Oncology., 20(1), 65–72.
Griffin, A. M., Butow, P. N., Coates, A. S., Childs, A. M., Ellis, P. M., Dunn, S. M., & Tattersall, M. H. (1996). On the receiving end: Patient perceptions of the side effects of cancer chemotherapy in 1993. Annals of Oncology, 7, 189–195.
Portenoy, R. K., Thaler, H. T., Kornblith, A. B., Lepore, J. M., Friedlander-Klar, H., Coyle, N., Smart-Curley, T., Kemeny, N., Norton, L., & Hoskins, W. (1994). Symptom prevalence, characteristics and distress in a cancer population. Quality of Life Research, 3, 183–189.
Slevin, M. L., Plant, H., Lynch, D., Drinkwater, J., & Gregory, W. M. (1988). Who should measure quality of life, the doctor or the patient? British Journal of Cancer, 1988(57), 109–112.
Sprangers, M. A., & Aaronson, N. K. (1992). The role of health care providers and significant others in evaluating the quality of life of patients with chronic disease: A review. Journal of Clinical Epidemiology, 45, 743–760.
Pearman, T. P., Beaumont, J. L., Mroczek, D., O’Connor, M., & Cella, D. (2018). Validity and usefulness of a single-item measure of patient-reported bother from side effects of cancer therapy. Cancer, 124, 991–997.
FDA. (2021, June). Core patient-reported outcomes in cancer clinical trials guidance for industry. Draft guidance. U.S. Department of Health and Human Services Food and Drug Administration Oncology Center of Excellence (OCE).
Bennett, B. K., Park, S. B., Lin, C. S., Friedlander, M. L., Kiernan, M. C., & Goldstein, D. (2012). Impact of oxaliplatin-induced neuropathy: A patient perspective. Supportive Care Cancer., 20, 2959–2967.
Basch, E., Iasonos, A., McDonough, T., Barz, A., Culkin, A., Kris, M. G., Scher, H. I., & Schrag, D. (2006). Patient versus clinician symptom reporting using the national cancer institute common terminology criteria for adverse events: Results of a questionnaire-based study. The lancet Oncology, 7, 903–909.
Nyrop, K. A., Deal, A. M., et al. (2020). Congruence of patient- and clinician-reported toxicity in women receiving chemotherapy for early breast cancer. Cancer, 126, 3084–3093.
Schuurhuizen, C., Marino, P., Braamse, A., et al. (2018). Impact of patient- and clinician-reported cumulative toxicity on quality of life in patients with metastatic castration-naïve prostate cancer. Journal of the National Comprehensive Cancer Network, 16, 1481–1488.
Basch, E., Reeve, B. B., & Mitchell, S. A. (2014). Development of the national cancer institute’s patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE). JNCI: Journal of National Cancer Institue., 106, 244.
Dueck, A. C., Mendoza, T. R., Mitchell, S. A., et al. (2015). Validity and reliability of the US national cancer institute’s patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE). JAMA Oncology, 1, 1051–1059.
Griffiths, P., Peipert, J. D., Leith, A., Rider, A., Morgan, L., Cella, D., & Cocks, K. (2022). Validity of a single-item indicator of treatment side effect bother in a diverse sample of cancer patients. Support Care Cancer; online ahead of print.
Roydhouse, J. K., King-Kallimanis, B. L., Roy, P., Weinstock, C., Krol, D., Daniels, S. R., Suzman, D. L., Beaver, J. A., & Kluetz, P. G. (2020). Exploration of baseline patient-reported side effect bother from cancer therapy. Clinical Trials, 17, 332–337.
Cella, D. F., Tulsky, D. S., Gray, G., Sarafian, B., Linn, E., Bonomi, A., Silberman, M., Yellen, S. B., Winicour, P., & Brannon, J. (1993). The functional assessment of cancer therapy scale: Development and validation of the general measure. Journal of Clinical Oncology, 11, 570–579.
Hlubocky, F. J., Webster, K., Cashy, J., Beaumont, J., Cella, D. (2013). The development and validation of a measure of health-related quality of life for non-Hodgkin’s Lymphoma: The Functional Assessment of Cancer Therapy—Lymphoma (FACT-Lym). Lymphoma.
Basen-Engquist, K., Bodurka-Bevers, D., & Fitzgerald, M. A. (2001). Reliability and validity of the functional assessment of cancer therapy-ovarian. Journal of Clinical Oncology, 19, 1809–1817.
Aaronson, N. K., Ahmedzai, S., & Bergman, B. (1993). The European organization for research and treatment of cancer QLQ-C30: A quality-of-life instrument for use in international clinical trials in oncology. Journal of the National Cancer Institute, 85, 365–376.
Sprangers, M. A., Groenvold, M., Arraras, J. I., Franklin, J., teVelde, A., Muller, M., Franzini, L., Williams, A., de Haess, H. C., Hopwood, P., Cull, A., & Aaronson, N. K. (1996). The EORTC breast cancer-specific quality-of-life questionnaire module: First results from a three-country field study. Journal of Clinical Oncology, 14, 2756–2768.
Greimel, E., Bottomley, A., Cull, A., Waldenstrom, A.-C., Arraras, J., Chauvenet, L., Holzner, B., Kuljanic, K., Lebrec, J., & D’haese, S. (2003). EORTC Quality of Life Group and the Quality of Life Unit: An international field study of the reliability and validity of a disease-specific questionnaire module (the QLQ-OV28) in assessing the quality of life of patients with ovarian cancer. European Journal of Cancer, 39, 1402–1408.
Janssen, M. F., Pickard, A. S., Golicki, D., Gudex, C., Nieuwada, M., Scalone, M., Swinburn, P., & Bussbach, J. (2013). Measurement properties of the EQ-5D-5L compared to the EQ-5D-3L across eight patient groups: A multi-country study. Quality of Life Research, 22, 1717–1727.
Rabin, R., & de Charro, F. (2001). EQ-5D: A measure of health status from the EuroQol Group. Annals of Medicine, 33, 337–343.
Terwee, C. B., Bot, S. D. M., de Boer, M. R., van der Windt, D. A. W. M., Knol, D. L., Dekker, J., Bouter, L. M., & de Vet, H. C. W. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60, 34–42.
Cella, D., Hahn, E. A., & Dineen, K. (2022). Meaningful change in cancer-specific quality of life scores: Differences between improvement and worsening. Quality of Life Research, 11, 207–221.
Osoba, D., Rodrigues, G., Myles, J., Zee, B., & Pater, J. (1998). Interpreting the significance of changes in health-related quality-of-life scores. Journal of Clinical Oncology, 16, 139–144.
Koo, T. K., & Li, M. Y. (2016). A guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15(2), 155–163.
Botsch, R. (2011). Chapter 12: Significance and measures of association. Scopes and Methods of Political Science
Copay, A. G., Subach, B. R., Glassman, S. D., Polly, D. W., Jr., & Schuler, T. C. (2007). Understanding the minimum clinically important difference: A review of concepts and methods. Spine J., 7(5), 541–546.
Ousmen, A., Touraine, C., Deliu, N., Cottone, F., Bonnetain, F., Efficace, F., Brédart, A., Mollevi, C., & Anota, A. (2018). Distribution- and anchor-based methods to determine the minimally important difference on patient-reported outcome questionnaires in oncology: A structured review. Health and Quality of Life Outcomes, 16, 228.
Revicki, D., Hays, R. D., Cella, D., & Sloan, J. (2008). Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes. Journal of Clinical Epidemiology., 61, 102–109.
Wyrwich, K. W., Norquist, J. M., Lenderking, W. R., & Acaster, S. (2013). Industry advisory committee of international society for quality of life R: Methods for interpreting change over time in patient-reported outcome measures. Quality of Life Research, 22, 475–483.
Lee, K. M., Lee, J., & Chung, C. Y. (2012). Pitfalls and important issues in testing reliability using intraclass correlation coefficients in orthopaedic research. Clinics in Orthopedic Surgery, 4, 149–155.
Acknowledgements
The authors would like to thank all of the patients who participated in the clinical trials used in this paper. Editorial support by Eleanor Porteous, MSc, of Health Interactions, was provided by F. Hoffmann-La Roche Ltd.
Funding
This work was supported by F. Hoffmann-La Roche/Genentech, Inc. F. Hoffmann-La Roche/Genentech, Inc., sponsored the studies of which the data for this analysis were interpreted. The design of the study; the collection, analysis, and interpretation of the data; and the decision to submit the manuscript for publication was led by the authors. Editorial support by Eleanor Porteous, MSc, of Health Interactions, was provided by F. Hoffmann-La Roche Ltd.
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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by PT and TH. The first draft of the manuscript was written by TP and PT, and all authors commented on all versions of the manuscript. All authors reviewed and approved the final manuscript.
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PCT, is an employee of Genentech. TH is employed as a consultant (contractor) by Genentech. TP is on the speakers’ bureau for Pfizer and Genentech.
Ethical approval
The study was performed in line with the principles of the Declaration of Helsinki. Peter Trask is employed by Genentech and holds stock in Roche. Tracy Holt has no financial interests. Timothy Pearman has received speaker honorarium in the past from Genentech.
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Written informed consent was obtained from all participants of the original clinical trials. There is no personally identifiable information in the manuscript, and therefore consent to publish was not required.
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Trask, P.C., Holt, T. & Pearman, T. Psychometrics of patient-reported bother from side effects of treatment single-items in industry-sponsored oncology trials. Qual Life Res 32, 2601–2615 (2023). https://doi.org/10.1007/s11136-023-03426-w
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DOI: https://doi.org/10.1007/s11136-023-03426-w