| Literature DB >> 24168680 |
Melanie Calvert, Michael Brundage, Paul B Jacobsen, Holger J Schünemann, Fabio Efficace1.
Abstract
To inform clinical guidelines and patient care we need high quality evidence on the relative benefits and harms of intervention. Patient reported outcome (PRO) data from clinical trials can "empower patients to make decisions based on their values" and "level the playing field between physician and patient". While clinicians have a good understanding of the concept of health-related quality of life and other PROs, evidence suggests that many do not feel comfortable in using the data from trials to inform discussions with patients and clinical practice. This may in part reflect concerns over the integrity of the data and difficulties in interpreting the results arising from poor reporting.The new CONSORT PRO extension aims to improve the reporting of PROs in trials to facilitate the use of results to inform clinical practice and health policy. While the CONSORT PRO extension is an important first step in the process, we need broader engagement with the guidance to facilitate optimal reporting and maximize use of PRO data in a clinical setting. Endorsement by journal editors, authors and peer reviewers are crucial steps. Improved design, implementation and transparent reporting of PROs in clinical trials are necessary to provide high quality evidence to inform evidence synthesis and clinical practice guidelines.Entities:
Mesh:
Year: 2013 PMID: 24168680 PMCID: PMC3842645 DOI: 10.1186/1477-7525-11-184
Source DB: PubMed Journal: Health Qual Life Outcomes ISSN: 1477-7525 Impact factor: 3.186
Figure 1Model for the use of PRO data to inform patient care. Major routes are indicated by solid arrows whilst other possible routes are indicated by unfilled arrows. The potential impact of the CONSORT PRO Extension on evidence from clinical trials and links to guideline development are indicated. Adapted from Till et al. [3].
Summary of the CONSORT PRO extension items
| Structured summary of trial design, methods, results, and conclusions | The PRO should be identified in the abstract as a primary or secondary outcome | Explicitly identifying PROs in the RCT abstract will facilitate indexing and identification of studies to inform clinical care and evidence synthesis. |
| Specific objectives or hypotheses | The PRO hypothesis should be stated and relevant domains identified, if applicable. | PRO measures may be multi-dimensional and may assess patient status at several time points during a RCT. A pre-specified hypothesis reduces the risk of multiple statistical testing and selective reporting of PROs based on statistically significant results. |
| Completely defined pre-specified primary and secondary outcome measures, including how and when they were assessed. | Evidence of PRO Instrument validity and reliability should be provided or cited if available including the person completing the PRO and methods of data collection (paper telephone electronic other). | This information will allow readers to assess the validity, reliability and appropriateness of the PRO being used. |
| Statistical Methods used to compare groups for primary and secondary outcomes | Statistical approaches for dealing with missing data are explicitly stated. | Missing PRO data is a potential source of bias. A number of methods for dealing with missing data are available with different strengths and limitations which should be described to facilitate interpretation. |
| Trial limitations addressing sources of potential bias, imprecision, and, if relevant multiplicity of analyses | PRO-specific limitations and implications for generalizability and clinical practice should be discussed. | PRO specific limitations may influence the generalizability of results and use in clinical practice. |
| Generalizability (external validity, applicability) of trial findings |
Authors are referred to the CONSORT PRO Extension paper for further explanation and the full list of items [11]. The CONSORT PRO extension should be used in conjunction with the CONSORT checklist and relevant extensions as appropriate for the study design.
Level of reporting in recently conducted prostate cancer RCTs (65 studies published between 2004 and 2012) according to the new CONOSRT PRO extension
| Structured summary of trial design, methods, results, and conclusions | The PRO should be identified in the abstract as a primary or secondary outcome | 59/65 (91%) |
| Specific objectives or hypotheses | The PRO hypothesis should be stated and relevant domains identified, if applicable. | 24/65 (37%) |
| Completely defined pre-specified primary and secondary outcome measures, including how and when they were assessed. | Evidence of PRO Instrument validity and reliability should be provided or cited if available including the person completing the PRO and methods of data collection (paper telephone electronic other). | 43/65 (66%), Yes, for all PRO instruments used in the study. |
| 15/65 (23%), reported “mode of administration” | ||
| Statistical Methods used to compare groups for primary and secondary outcomes | Statistical approaches for dealing with missing data are explicitly stated. | 12/65 (18%) |
| Trial limitations addressing sources of potential bias, imprecision, and, if relevant multiplicity of analyses | PRO-specific limitations and implications for generalizability and clinical practice should be discussed. | 23/65 (35%) PRO-specific limitations discussed. |
| 37/65 (57%) Implications for generalizability | ||
| Generalizability (external validity, applicability) of trial findings |
Data extracted from Efficace et al. [20].