Pragmatic Free Trial Meta
Pragmatic Free Trial Meta is a non-commercial open data platform and infrastructure that supports research on pragmatic trials. It is a platform that collects and shares clean trial data and ratings using PRECIS-2, which allows for multiple and varied meta-epidemiological studies to examine the effects of treatment across trials that employ different levels of pragmatism and other design features.
Background
Pragmatic trials provide evidence from the real world that can be used to make clinical decisions. However, the usage of the term "pragmatic" is not uniform and its definition and assessment requires clarification. Pragmatic trials should be designed to inform clinical practice and policy decisions, rather than confirm the validity of a clinical or physiological hypothesis. A pragmatic trial should try to be as close as possible to actual clinical practices that include recruiting participants, setting, design, implementation and delivery of interventions, determination and analysis results, as well as primary analyses. This is a significant difference between explanatory trials, as defined by Schwartz and Lellouch1 which are designed to test the hypothesis in a more thorough manner.
Truely pragmatic trials should not conceal participants or clinicians. This can result in a bias in the estimates of treatment effects. Practical trials should also aim to attract patients from a wide range of health care settings, to ensure that the results can be compared to the real world.
Finally, pragmatic trials must be focused on outcomes that matter to patients, like the quality of life and functional recovery. This is especially important in trials that require the use of invasive procedures or could have dangerous adverse impacts. The CRASH trial29, for instance, focused on functional outcomes to evaluate a two-page case report with an electronic system to monitor the health of patients admitted to hospitals with chronic heart failure. Similarly, the catheter trial28 used urinary tract infections that are symptomatic of catheters as the primary outcome.
In addition to these aspects pragmatic trials should reduce the requirements for data collection and trial procedures to cut down on costs and time commitments. In the end, pragmatic trials should aim to make their findings as relevant to real-world clinical practices as possible. This can be accomplished by ensuring that their primary analysis is based on the intention-to treat approach (as defined in CONSORT extensions).
Despite these criteria, a number of RCTs with features that challenge the concept of pragmatism have been mislabeled as pragmatic and published in journals of all types. This could lead to false claims about pragmatism, and the usage of the term should be standardised. 프라그마틱 슬롯버프 of the PRECIS-2 tool, which provides a standard objective assessment of pragmatic characteristics, is a good first step.
Methods
In a pragmatic research study, the goal is to inform policy or clinical decisions by demonstrating how an intervention can be integrated into routine care in real-world settings. This is distinct from explanation trials that test hypotheses about the cause-effect connection in idealized settings. Therefore, pragmatic trials might be less reliable than explanatory trials and may be more susceptible to bias in their design, conduct and analysis. Despite these limitations, pragmatic trials may provide valuable information to decision-making in healthcare.
The PRECIS-2 tool evaluates an RCT on 9 domains, with scores ranging between 1 and 5 (very pragmatist). In this study, the domains of recruitment, organisation and flexibility in delivery, flexible adherence, and follow-up were awarded high scores. However, the primary outcome and the method for missing data was scored below the pragmatic limit. This suggests that it is possible to design a trial using high-quality pragmatic features, without compromising the quality of its outcomes.
It is hard to determine the level of pragmatism in a particular trial because pragmatism does not have a binary characteristic. Certain aspects of a research study can be more pragmatic than others. A trial's pragmatism could be affected by changes to the protocol or the logistics during the trial. Additionally 36% of 89 pragmatic trials identified by Koppenaal and colleagues were placebo-controlled or conducted before licensing, and the majority were single-center. They are not close to the standard practice and can only be called pragmatic if their sponsors agree that these trials aren't blinded.
Furthermore, a common feature of pragmatic trials is that the researchers attempt to make their findings more relevant by analyzing subgroups of the trial sample. This can result in unbalanced analyses with less statistical power. This increases the chance of missing or misdetecting differences in the primary outcomes. This was a problem during the meta-analysis of pragmatic trials due to the fact that secondary outcomes were not corrected for covariates that differed at the baseline.
Furthermore, pragmatic trials can also present challenges in the collection and interpretation of safety data. This is due to the fact that adverse events are typically self-reported, and therefore are prone to delays, inaccuracies or coding variations. It is crucial to improve the quality and accuracy of the results in these trials.
Results
While the definition of pragmatism does not require that all clinical trials be 100% pragmatic there are benefits to including pragmatic components in trials. These include:
By including routine patients, the results of trials can be translated more quickly into clinical practice. However, pragmatic trials may have their disadvantages. For instance, the appropriate type of heterogeneity can help a trial to generalise its results to different patients and settings; however the wrong type of heterogeneity may reduce the assay's sensitiveness and consequently reduce the power of a trial to detect minor treatment effects.
Several studies have attempted to classify pragmatic trials using different definitions and scoring methods. Schwartz and Lellouch1 have developed an approach to distinguish between explanatory trials that confirm a clinical or physiological hypothesis as well as pragmatic trials that help in the selection of appropriate therapies in real-world clinical practice. The framework consisted of nine domains that were assessed on a scale of 1-5 with 1 being more informative and 5 being more pragmatic. The domains included recruitment, setting, intervention delivery, flexible adherence, follow-up and primary analysis.
The original PRECIS tool3 included similar domains and scales from 1 to 5. Koppenaal and colleagues10 created an adaptation of this assessment, called the Pragmascope that was simpler to use for systematic reviews. They discovered that pragmatic systematic reviews had a higher average score in most domains, but lower scores in the primary analysis domain.

This difference in the analysis domain that is primary could be explained by the fact that most pragmatic trials analyze their data in an intention to treat way however some explanation trials do not. The overall score for pragmatic systematic reviews was lower when the domains of organisation, flexible delivery and following-up were combined.
It is important to note that the term "pragmatic trial" does not necessarily mean a poor quality trial, and indeed there is a growing number of clinical trials (as defined by MEDLINE search, but this is not specific nor sensitive) that employ the term "pragmatic" in their title or abstract. The use of these words in abstracts and titles could indicate a greater understanding of the importance of pragmatism, but it is unclear whether this is manifested in the content of the articles.
Conclusions
As appreciation for the value of evidence from the real world becomes more widespread, pragmatic trials have gained popularity in research. They are randomized trials that compare real world care alternatives to clinical trials in development. They involve patient populations closer to those treated in regular care. This method can help overcome the limitations of observational research for example, the biases that are associated with the reliance on volunteers, as well as the insufficient availability and the coding differences in national registry.
Other benefits of pragmatic trials include the possibility of using existing data sources, as well as a higher chance of detecting meaningful changes than traditional trials. However, they may be prone to limitations that compromise their reliability and generalizability. For instance, participation rates in some trials could be lower than anticipated due to the healthy-volunteer influence and financial incentives or competition for participants from other research studies (e.g. industry trials). A lot of pragmatic trials are restricted by the need to enroll participants in a timely manner. Some pragmatic trials also lack controls to ensure that observed variations aren't due to biases in the trial.
The authors of the Pragmatic Free Trial Meta identified 48 RCTs that self-labeled themselves as pragmatic and were published up to 2022. The PRECIS-2 tool was used to assess the degree of pragmatism. It covers areas like eligibility criteria as well as recruitment flexibility and adherence to intervention and follow-up. They discovered that 14 of the trials scored as highly or pragmatic practical (i.e. scoring 5 or higher) in one or more of these domains, and that the majority of them were single-center.
Trials with high pragmatism scores tend to have more criteria for eligibility than traditional RCTs. They also include populations from many different hospitals. The authors claim that these characteristics can help make pragmatic trials more effective and useful for everyday practice, but they do not necessarily guarantee that a trial conducted in a pragmatic manner is free of bias. Highly recommended Website is not a definite characteristic; a pragmatic test that does not possess all the characteristics of an explanation study may still yield reliable and beneficial results.