Abstract
Purpose
This study aimed to determine which methods of remote symptom assessment cancer outpatients would be comfortable using, including those involving information technology, and whether this varied with age and gender.
Methods
A questionnaire survey of 477 outpatients attending the Edinburgh Cancer Centre in Edinburgh, UK.
Results
Most patients reported that they would not feel comfortable using methods involving technology such as a secure website, email, mobile phone text message, or a computer voice on the telephone but that they would be more comfortable using more traditional methods such as a paper questionnaire, speaking to a nurse on the telephone, or giving information in person.
Conclusions
The uptake of new, potentially cost-effective technology-based methods of monitoring patients’ symptoms at home might be limited by patients’ initial discomfort with the idea of using them. It will be important to develop methods of addressing this potential barrier (such as detailed explanation and supervised practice) if these methods are to be successfully implemented.
References
Rose, M., & Bezjak, A. (2009). Logistics of collecting patient-reported outcomes (PROs) in clinical practice: An overview and practical examples. Quality of Life Research, 18, 125–136. doi:10.1007/s11136-008-9436-0.
Davalos, M. E., French, M. T., Burdick, A. E., & Simmons, S. C. (2010). Economic evaluation of telemedicine: Review of the literature and research guidelines for benefit-cost analysis. Telemedicine Journal and E-Health, 15, 933–948. doi:10.1089=tmj.2009.0067.
Friedman, R. (1998). Automated telephone conversations to assess health behavior and deliver behavioral interventions. Journal of Medical Systems, 22, 95–102.
Pare, G., Mirou, J., & Sicotte, C. (2007). Systematic review of home telemonitoring for chronic diseases: The evidence base. Journal of the American Medical Informatics Association, 14, 269–277. doi:10.1197/jamia.172270.
Newman, M. (2004). Technology and psychotherapy: An introduction. Journal of Clinical Psychology, 60, 141–145. doi:10.1002/jclp.10240.
Richman, W. L., Kiesler, S., Weisband, S., & Drasgow, F. (1999). A meta-analytic study of social desirability distortion in computer-administered questionnaires, traditional questionnaires, and interviews. Journal of Applied Psychology, 84, 754–775.
Pinnock, H., Slack, R., Pagliari, C., Price, D., & Sheikh, A. (2006). Professional and patient attitudes to using mobile phone technology to monitor asthma: Questionnaire survey. Primary Care Respiratory Journal, 15, 237–245. doi:10.1016/j.pcrj.2006.03.001.
Carlson, L. E., Speca, M., Hagen, N., & Taenzer, P. (2001). Computerized quality-of-life screening in a cancer pain clinic. Journal of Palliative Care, 17, 46–52.
Bielli, E., Carminati, F., La Capra, S., Lina, M., Brunelli, C., & Tamburini, M. (2004). Wireless Health Outcomes Monitoring System (WHOMS): Development and field testing with cancer patients using mobile phones. BMC Medical Informatics and Decision Making, 4, 7.
Werner, P., & Karnieli, E. (2003). A model of the willingness to use telemedicine for routine and specialized care. Journal of Telemedicine and Telecare, 9, 264–272. doi:10.1258/135763303769211274.
Ahmad, F., Hogg-Johnson, S., & Skinner, H. (2008). Assessing patient attitudes to computerized screening in primary care: Psychometric properties of the computerized lifestyle assessment scale. JMIR, 10, e11. doi:10.2196/jmir.955.
Eikelboom, R., & Atlas, M. (2005). Attitude to telemedicine, and willingness to use it, in audiology patients. Journal of Telemedicine and Telecare, 11(S2), 22–25.
Brick, J., Bashshur, R., Brick, J., & D’Alessandri, R. (1997). Public knowledge, perception, and expressed choice of telemedicine in rural West Virginia. Telemedicine Journal, 3, 159–171.
Kearney, N., McCann, L., Norrie, J., Taylor, L., Gray, P., McGee-Lennon, M., et al. (2009). Evaluation of a mobile phone-based, advanced symptom management system (ASyMS) in the management of chemotherapy-related toxicity. Supportive Care in Cancer, 17, 437–444. doi:10.1007/s00520-008-0515-0.
Bush, N., Donaldson, G., Moinpour, C., Haberman, M., Milliken, D., Markle, V., et al. (2005). Development, feasibility and compliance of a web-based system for very frequent QOL and symptom home self-assessment after hematopoietic stem cell transplantation. Quality of Life Research, 14, 77–93.
Wolpin, S., Berry, D., Austin-Seymour, M., Bush, N., Fann, J. R., Halpenny, B., et al. (2008). Acceptability of an electronic self-report assessment program for patients with cancer. CIN-Computers, Informatics, Nursing, 26, 332–338.
Demiris, G., Speedie, S., & Finkelstein, S. (2001). Change of patients’ perceptions of telehomecare. Telemedicine Journal and e-Health, 7, 241–248.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Kleiboer, A., Gowing, K., Holm Hansen, C. et al. Monitoring symptoms at home: what methods would cancer patients be comfortable using?. Qual Life Res 19, 965–968 (2010). https://doi.org/10.1007/s11136-010-9662-0
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11136-010-9662-0