Pragmatic Free Trial Meta
Pragmatic Free Trail Meta is an open data platform that facilitates research into pragmatic trials. It is a platform that collects and shares clean trial data and ratings using PRECIS-2 allowing for multiple and diverse meta-epidemiological studies that examine the effects of treatment across trials that employ different levels of pragmatism as well as other design features.
Background
Pragmatic trials provide real-world evidence that can be used to make clinical decisions. However, the usage of the term "pragmatic" is inconsistent and its definition as well as assessment requires clarification. The purpose of pragmatic trials is to guide the practice of clinical medicine and policy decisions, not to prove a physiological or clinical hypothesis. A pragmatic study should aim to be as similar to actual clinical practice as is possible, including its selection of participants, setting up and design as well as the implementation of the intervention, determination and analysis of outcomes as well as primary analyses. This is a significant distinction from explanatory trials (as described by Schwartz and Lellouch1) that are designed to provide more complete confirmation of the hypothesis.
Truely pragmatic trials should not be blind participants or clinicians. This can result in a bias in the estimates of the effects of treatment. The trials that are pragmatic should also try to recruit patients from a wide range of health care settings, to ensure that their findings can be compared to the real world.
Furthermore the focus of pragmatic trials should be on outcomes that are important for patients, such as quality of life or functional recovery. This is especially important for trials that involve the use of invasive procedures or could have dangerous adverse consequences. The CRASH trial29, for example, focused on functional outcomes to compare a two-page report with an electronic system to monitor the health of patients admitted to hospitals with chronic heart failure. Similarly, the catheter trial28 utilized urinary tract infections that are symptomatic of catheters as its primary outcome.
In addition to these features pragmatic trials should reduce the trial's procedures and data collection requirements in order to reduce costs. Finaly these trials should strive to make their results as applicable to current clinical practices as they can. This can be accomplished by ensuring their primary analysis is based on the intention-to treat method (as described within CONSORT extensions).
Many RCTs that do not meet the criteria for pragmatism but have features that are contrary to pragmatism, have been published in journals of different kinds and incorrectly labeled pragmatic. This could lead to false claims of pragmatism and the term's use should be standardised. The development of the PRECIS-2 tool, which provides an objective standard for assessing pragmatic features is a great first step.
Methods
In a pragmatic research study, the goal is to inform policy or clinical decisions by showing how an intervention could be integrated into routine treatment in real-world situations. 프라그마틱 데모 is distinct from explanation trials that test hypotheses regarding the causal-effect relationship in idealized situations. In this way, pragmatic trials could have less internal validity than explanation studies and are more susceptible to biases in their design analysis, conduct, and design. Despite these limitations, pragmatic trials may contribute valuable information to decision-making in the context of healthcare.
The PRECIS-2 tool evaluates the degree of pragmatism in an RCT by assessing it across 9 domains ranging from 1 (very explicit) to 5 (very pragmatic). In this study the areas of recruitment, organisation, flexibility in delivery, flexibility in adherence, and follow-up received high scores. However, the main outcome and the method for missing data were scored below the practical limit. This suggests that it is possible to design a trial with good pragmatic features without harming the quality of the results.
It is hard to determine the degree of pragmatism in a particular trial because pragmatism does not have a single characteristic. Certain aspects of a study can be more pragmatic than others. Moreover, protocol or logistic modifications during the course of an experiment can alter its score on pragmatism. Additionally 36% of the 89 pragmatic trials discovered by Koppenaal and co. were placebo-controlled, or conducted prior to approval and a majority of them were single-center. They aren't in line with the usual practice, and can only be considered pragmatic if the sponsors agree that these trials are not blinded.
A typical feature of pragmatic studies is that researchers attempt to make their findings more meaningful by studying subgroups of the trial sample. However, this can lead to unbalanced results and lower statistical power, thereby increasing the risk of either not detecting or misinterpreting differences in the primary outcome. This was a problem during the meta-analysis of pragmatic trials because secondary outcomes were not adjusted for differences in covariates at the baseline.
Furthermore, pragmatic studies can present challenges in the gathering and interpretation of safety data. This is due to the fact that adverse events are typically self-reported, and are prone to errors, delays or coding variations. It is therefore important to improve the quality of outcomes for these trials, in particular by using national registries instead of relying on participants to report adverse events on a trial's own database.
Results
While the definition of pragmatism may not require that all trials be 100 100% pragmatic, there are benefits to including pragmatic components in clinical trials. These include:
Increasing sensitivity to real-world issues as well as reducing cost and size of the study and allowing the study results to be faster translated into actual clinical practice (by including patients from routine care). However, pragmatic studies can also have drawbacks. The right amount of heterogeneity, for example could help a study generalise its findings to many different patients or settings. However the wrong type of heterogeneity could decrease the sensitivity of the test and thus decrease the ability of a study to detect even minor effects of treatment.
Many studies have attempted classify pragmatic trials using different definitions and scoring methods. Schwartz and Lellouch1 developed an approach to distinguish between explanation-based trials that support a physiological or clinical hypothesis and pragmatic trials that inform the selection of appropriate therapies in real-world clinical practice. The framework was comprised of nine domains that were scored on a scale of 1 to 5, with 1 being more informative and 5 indicating more pragmatic. The domains covered recruitment and setting up, the delivery of intervention, flex compliance and primary analysis.
The initial PRECIS tool3 had similar domains and a scale of 1 to 5. Koppenaal et al10 developed an adaptation of the assessment, dubbed the Pragmascope that was simpler to use for systematic reviews. They discovered that pragmatic reviews scored higher across all domains, however they scored lower in the primary analysis domain.
This distinction in the primary analysis domain could be explained by the fact that most pragmatic trials analyse their data in the intention to treat method while some explanation trials do not. The overall score for pragmatic systematic reviews was lower when the areas of management, flexible delivery and follow-up were merged.
It is important to understand that a pragmatic trial does not necessarily mean a low quality trial, and there is a growing number of clinical trials (as defined by MEDLINE search, however this is neither specific nor sensitive) which use the word "pragmatic" in their title or abstract. These terms may signal that there is a greater appreciation of pragmatism in abstracts and titles, however it's unclear whether this is reflected in the content.
Conclusions
As the importance of real-world evidence becomes increasingly widespread and pragmatic trials have gained traction in research. They are randomized studies that compare real-world alternatives to new treatments that are being developed. They are conducted with populations of patients more closely resembling those treated in regular care. This approach can help overcome the limitations of observational studies that are prone to limitations of relying on volunteers, and the limited accessibility and coding flexibility in national registries.
Other benefits of pragmatic trials include the ability to use existing data sources, as well as a higher chance of detecting meaningful changes than traditional trials. However, these tests could have some limitations that limit their effectiveness and generalizability. For instance the participation rates in certain trials may be lower than expected due to the healthy-volunteer effect as well as financial incentives or competition for participants from other research studies (e.g., industry trials). The requirement to recruit participants in a timely fashion also limits the sample size and the impact of many practical trials. Some pragmatic trials also lack controls to ensure that observed differences aren't caused by biases that occur during the trial.
The authors of the Pragmatic Free Trial Meta identified 48 RCTs that self-labeled themselves as pragmatic and were published from 2022. The PRECIS-2 tool was employed to assess pragmatism. It includes areas such as eligibility criteria, recruitment flexibility, adherence to intervention, and follow-up. They discovered that 14 of these trials scored as highly or pragmatic sensible (i.e. scores of 5 or higher) in any one or more of these domains and that the majority were single-center.

Trials with high pragmatism scores tend to have more criteria for eligibility than traditional RCTs. They also have patients from a variety of hospitals. The authors claim that these characteristics can help make pragmatic trials more meaningful and relevant to everyday clinical practice, however they do not necessarily guarantee that a trial using a pragmatic approach is completely free of bias. Moreover, the pragmatism of a trial is not a definite characteristic and a pragmatic trial that doesn't possess all the characteristics of a explanatory trial can yield valid and useful results.