- Poster presentation
- Open Access
Do outcome measures used in neurological clinical research realistically represent the needs and the expectations of patients and their care givers?
© Celani et al; licensee BioMed Central Ltd. 2015
- Published: 29 May 2015
- Neurological Disease
- Focus Group Discussion
- Outcome Reporting
- Single Trial
There is an increasing recognition that Neurological diseases, both chronic and disabling, are effected by multiple domains. It is crucial to select outcome measures and their rating scales to assess the meaningful results of a clinical study. The aim of the study is to address the mismatch between what clinical researchers do and what patients need.
Stroke, dementia and epilepsy are the greater and most common disabling neurological diseases and were considered in this study. For each mentioned disease we will perform a Systematic reviews of all randomized clinical trials published in any language over the last 5 years with the aim of identifying and analyzing the outcome measures used in the evaluation of any kind of intervention. Fifteen Neurologists are filling out a single computerized form for each single trial assigned.
The form has the following information: Characteristics of the trial with relevance on quality, Extent of variability in end points selected and their domains, Scales or techniques used to make the measurement, type of analysis applied and time of measurement, Presence of attrition bias in terms of fraction of patients reported by end points on the number enrolled in the study, Presence of outcome reporting bias in terms of end points declared and non-reported, end points not declared but reported, Source of funding.
The valuation of patient and career needs and emotions will be performed with focus group discussions in a parallel section of the study.
This result gives a first indication of how valuable resources are wasted. More importantly we are considering the weaknesses in the design, analysis and conflicts of interest in the included 17.6% of RCTs, highlighting research that should be better directed.
This approach could provide useful information to clinicians, who will have an opportunity to learn how to use a new framework in the production, reporting and critical appraisal of literature and it could also help to bridge the gap between end-users and investigators and promote valuable clinical research.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.