The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Assessment of patient‐reported outcomes in clinical trials: the example of health‐related quality of life
Abstract
As the patient is the primary recipient of treatment, there is a need to recognize and value the patient's perception of change in response to treatment in clinical trials. A new outcomes classification, patient‐reported outcomes (PROs), has been proposed by regulators. The PROs are used as an umbrella term and include, for example measures of subjective symptoms, health‐related quality of life (HRQL) and treatment satisfaction. In this sense, the PROs are unique and complementary indicators of disease activity as well as of treatment efficacy. Frequently, pharmaceutical companies desire to include PRO benefits in the product label in order to reach a broad range of customers, including prescribers as well as patients. Therefore such information must be based on results that are scientifically valid. The measurement strategy, i.e. the thinking about and decision‐making related to PRO and HRQL evaluations, needs to be explicit for clinical trials. First of all it is necessary to specify and provide the rationale for measuring the PROs. Similarly, the reason for selecting particular instruments should be stated and, for the selected instruments, the psychometric evidence should be summarized. The key PRO domains must be prespecified and evidence of their importance to patients should be provided. The research question under study and potential claims need to be clearly delineated. Hence, instrument selection is a key initial step for planning successful and scientifically adequate clinical trials intended to support labelling and promotional claims of PRO benefits to patients. The scientific criteria and design issues of clinical trials are the same for clinical and PRO endpoints. However, important issues of particular relevance to PRO assessments, such as missing values, multiple outcomes, and the statistical analysis, require careful attention. The thinking and planning involved in developing the PRO component of the clinical trial need to be articulated. Successful evaluation of PROs in clinical trials relies on careful planning provided the treatment shows sufficient effectiveness.
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Cites
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Interpreting treatment effects in randomised trials
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Cited by
Basch, E., Iasonos, A., McDonough, T., Barz, A., Culkin, A., Kris, M. G., Scher, H. I., & Schrag, D. (2006) · The Lancet Oncology · doi:10.1016/s1470-2045(06)70910-x · Cited by 653
Gwaltney, C. J., Shields, A. L., & Shiffman, S. (2008) · Value in Health · doi:10.1111/j.1524-4733.2007.00231.x · Cited by 623
Investigating quality of life and health-related quality of life in infertility: a systematic review
Chachamovich, J. R., Chachamovich, E., Ezer, H., Fleck, M. P., Knauth, D., & Passos, E. P. (2010) · Journal of Psychosomatic Obstetrics & Gynecology · doi:10.3109/0167482x.2010.481337 · Cited by 372
Systematic review: oral bowel preparation for colonoscopy
BELSEY, J., EPSTEIN, O., & HERESBACH, D. (2007) · Alimentary Pharmacology & Therapeutics · doi:10.1111/j.1365-2036.2006.03212.x · Cited by 259
Patient-reported outcomes in randomized clinical trials: development of ISOQOL reporting standards
Brundage, M., Blazeby, J., Revicki, D., Bass, B., de Vet, H., Duffy, H., Efficace, F., King, M., Lam, C. L. K., Moher, D., et al. (2013) · Quality of Life Research · doi:10.1007/s11136-012-0252-1 · Cited by 207
Metadata
- Authors
- Wiklund, I.
- Venue
- Fundamental & Clinical Pharmacology
- Publisher
- Wiley
- Published
- 2004-02-09
- Volume
- 18
- Issue
- 3
- Pages
- 351-363
- ISSN
- 0767-3981 (ISSN-L)
- 1472-8206
- OpenAlex
- W1985132948
- Cited by
- 205
- References
- 5
- FWCI
- 26.87
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.