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Cochrane EvidencePublished 29 Feb 2016
Strategies designed to help healthcare professionals to recruit participants to research studies
Introduction Most trials fail to recruit the number of participants they need within the time they had planned to conduct the study. Recruiting potential participants to research studies involves three stages: identifying, approaching and obtaining the consent of potential participants to join a study. Researchers often rely on healthcare staff, such ... -
Cochrane EvidencePublished 27 Jul 2015
Can apps be used for the delivery of survey questionnaires in public health and clinical research?
Background Survey questionnaires are important tools in public health and clinical research as they offer a convenient way of collecting data from a large number of respondents, dealing with sensitive topics, and are less resource intensive than other data collection techniques. The delivery of survey questionnaires via apps running on smartphones ... -
Cochrane EvidencePublished 1 Oct 2014
Bias due to selective inclusion and reporting of outcomes and analyses in systematic reviews of randomised trials of healthcare interventions
A systematic review summarises evidence from multiple studies to answer a specific research question (e.g. what are the benefits and harms of a particular intervention for a particular health condition?). Often, there are many outcomes that systematic review authors could report to address their research question (e.g. pain, disability and quality of ... -
Cochrane EvidencePublished 29 Apr 2014
Comparing effect estimates of randomized controlled trials and observational studies
Researchers and organizations often use evidence from randomized controlled trials (RCTs) to determine the efficacy of a treatment or intervention under ideal conditions, while studies of observational designs are used to measure the effectiveness of an intervention in non-experimental, 'real world' scenarios. Sometimes, the results of RCTs and observational ... -
Cochrane EvidencePublished 3 Dec 2013
Methods that might help to keep people in randomised trials
Background Most trials follow people up to collect data through personal contact after they have been recruited. Some trials get data from other sources, such as routine collected data or disease registers. There are many ways to collect data from people in trials, and these include using letters, the internet, telephone calls, text messaging, face-to-face ... -
Cochrane EvidencePublished 17 Oct 2012
New treatments versus established treatments in randomized trials
Random allocation to different groups to compare the effects of treatments is used in fair tests to find out which among the treatment options is preferable. Random allocation is only ethical, however, if there is genuine uncertainty about which of the treatment options is preferable. If a patient or their healthcare provider is certain which of the ... -
Cochrane EvidencePublished 9 Nov 2011
Methods for obtaining unpublished data
This methodology review was conducted to assess the effects of different methods for obtaining unpublished studies (data) and missing data from studies to be included in systematic reviews. Six studies met the inclusion criteria, two were randomised studies and four were observational comparative studies evaluating different methods for obtaining missing ... -
Cochrane EvidencePublished 19 Jan 2011
Comparison of protocols and registry entries to published reports for randomised controlled trials
The non-reporting of a piece of research and the selective reporting of only some of its findings has been identified as a problem for research studies such as randomised trials and systematic reviews of these. If the decision about what to report and what to keep unpublished is based on the results obtained in the trial, this will lead to bias and ... -
Cochrane EvidencePublished 21 Jan 2009
Publication bias in clinical trials due to statistical significance or direction of trial results
The validity of a systematic review depends on the methods used to conduct the review. If there is a systematic bias, such that studies with statistically significant or positive findings are more likely to be published and included in systematic reviews than trials with non-significant findings, then the validity of a review's conclusions can be threatened. This ...
