프라그마틱 무료 슬롯 is a non-commercial, open data platform and infrastructure that facilitates research on pragmatic trials. It collects and distributes clean trial data, ratings and evaluations using PRECIS-2. This permits a variety of meta-epidemiological studies to compare treatment effect estimates across trials with different levels of pragmatism.
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 and assessment requires clarification. The purpose of pragmatic trials is to guide clinical practices and policy decisions, not to verify a physiological hypothesis or clinical hypothesis. A pragmatic study should aim to be as similar to actual clinical practice as possible, including in its selection of participants, setting up and design of the intervention, its delivery and implementation of the intervention, as well as the determination and analysis of the outcomes, and primary analyses. This is a significant difference from explanatory trials (as described by Schwartz and Lellouch1) which are designed to provide more complete confirmation of an idea.
Truely pragmatic trials should not be blind participants or clinicians. This can lead to a bias in the estimates of the effects of treatment. Pragmatic trials should also seek to recruit patients from a wide range of health care settings, to ensure that the results can be compared to the real world.
Furthermore, trials that are pragmatic must concentrate on outcomes that are important to patients, like the quality of life and functional recovery. This is particularly relevant in trials that require surgical procedures that are invasive or may have harmful adverse effects. The CRASH trial29, for instance, focused on functional outcomes to compare a 2-page case-report with an electronic system for the monitoring of patients in hospitals suffering from chronic heart failure. Similarly, the catheter trial28 utilized urinary tract infections caused by catheters as its primary outcome.
In addition to these aspects, pragmatic trials should minimize the trial's procedures and data collection requirements in order to reduce costs. In the end the aim of pragmatic trials is to make their findings as applicable to current clinical practices as possible. This can be accomplished by ensuring that their primary analysis is based on an intention-to treat method (as described in CONSORT extensions).
Many RCTs that don't meet the requirements for pragmatism but have features that are contrary to pragmatism, have been published in journals of various kinds and incorrectly labeled pragmatic. This can lead to misleading claims of pragmatism and the term's use should be made more uniform. The creation of the PRECIS-2 tool, which offers a standard objective assessment of pragmatic characteristics, is a good first step.
Methods
In a practical study, the goal is to inform clinical or policy decisions by demonstrating how an intervention could be integrated into routine treatment in real-world contexts. Explanatory trials test hypotheses concerning the causal-effect relationship in idealized conditions. In this way, pragmatic trials could have a lower internal validity than explanatory studies and be more susceptible to biases in their design as well as analysis and conduct. Despite their limitations, pragmatic studies can provide valuable data for making decisions within the context of healthcare.
The PRECIS-2 tool evaluates the degree of pragmatism within an RCT by scoring it across 9 domains that range from 1 (very explanatory) to 5 (very pragmatic). In this study the areas of recruitment, organization, flexibility in delivery, flexibility in adherence, and follow-up received high scores. However, the main outcome and the method of missing data were scored below the practical limit. This suggests that a trial could be designed with good practical features, but without harming the quality of the trial.
It is difficult to determine the amount of pragmatism within a specific study because pragmatism is not a have a binary attribute. Some aspects of a research study can be more pragmatic than other. A trial's pragmatism could be affected by changes to the protocol or the logistics during the trial. Koppenaal and colleagues discovered that 36% of 89 pragmatic studies were placebo-controlled, or conducted prior to licensing. Most were also single-center. This means that they are not very close to usual practice and are only pragmatic when their sponsors are accepting of the absence of blinding in these trials.
A common feature of pragmatic research is that researchers try to make their findings more relevant by studying 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 the case in the meta-analysis of pragmatic trials due to the fact that secondary outcomes were not adjusted for differences in covariates at the baseline.
Furthermore practical trials can present challenges in the collection and interpretation of safety data. This is due to the fact that adverse events are usually self-reported, and therefore are prone to errors, delays or coding variations. It is crucial to improve the accuracy and quality of the results in these trials.
Results
Although the definition of pragmatism does not require that all clinical trials are 100% pragmatist there are benefits of including pragmatic elements in trials. These include:
Incorporating routine patients, the trial results can be more quickly translated into clinical practice. However, pragmatic trials may also have drawbacks. For instance, the appropriate type of heterogeneity could help a study to generalize its findings to a variety of settings and patients. However the wrong kind of heterogeneity could reduce assay sensitiveness and consequently reduce the power of a trial to detect even minor effects of treatment.
A variety of studies have attempted to categorize pragmatic trials with various definitions and scoring systems. Schwartz and Lellouch1 created a framework for distinguishing between research studies that prove a physiological or clinical hypothesis, and pragmatic trials that aid in the selection of appropriate treatments in real-world clinical practice. The framework was composed of nine domains assessed on a scale of 1-5, with 1 being more informative and 5 being more pragmatic. The domains included recruitment of intervention, setting up, delivery of intervention, flexible adherence and primary analysis.
The original PRECIS tool3 included similar domains and a scale of 1 to 5. Koppenaal et al10 devised an adaptation to this assessment called the Pragmascope that was simpler to use in systematic reviews. They discovered that pragmatic systematic reviews had higher average scores across all domains, with lower scores in the primary analysis domain.
This difference in the analysis domain that is primary could be due to the fact that most pragmatic trials process their data in an intention to treat method however some explanation trials do not. The overall score for systematic reviews that were pragmatic was lower when the areas of organization, flexible delivery, and following-up were combined.
It is crucial to keep in mind that a study that is pragmatic does not mean a low-quality trial. In fact, there are a growing number of clinical trials that employ the term 'pragmatic' either in their abstract or title (as defined by MEDLINE but which is not precise nor sensitive). These terms could indicate an increased awareness of pragmatism within abstracts and titles, but it's unclear if this is reflected in the content.
Conclusions
As the value of evidence from the real world becomes more popular the pragmatic trial has gained momentum in research. They are randomized trials that evaluate real-world alternatives to experimental treatments in development. They include patient populations closer to those treated in regular care. This approach can overcome the limitations of observational research like the biases that are associated with the reliance on volunteers, and the lack of coding variations in national registries.
Pragmatic trials have other advantages, like the ability to leverage existing data sources and a higher probability of detecting meaningful differences from traditional trials. However, they may still have limitations which undermine their reliability and generalizability. For instance the rates of participation in some trials might be lower than anticipated due to the healthy-volunteer effect and incentives to pay or compete for participants from other research studies (e.g., industry trials). The requirement to recruit participants quickly restricts the sample size and the impact of many practical trials. Additionally certain pragmatic trials do not have controls to ensure that the observed differences aren't due to biases in trial conduct.
The authors of the Pragmatic Free Trial Meta identified RCTs published up to 2022 that self-described as pragmatism. The PRECIS-2 tool was used to evaluate the pragmatism of these trials. It includes domains such as eligibility criteria as well as recruitment flexibility as well as adherence to interventions and follow-up. They found that 14 of these trials scored as highly or pragmatic sensible (i.e. scoring 5 or higher) in any one or more of these domains and that the majority were single-center.
Trials with a high pragmatism rating tend to have broader eligibility criteria than traditional RCTs that have specific criteria that are unlikely to be used in the clinical setting, and include populations from a wide range of hospitals. According to the authors, may make pragmatic trials more relevant and relevant to everyday practice. However they do not guarantee that a trial will be free of bias. The pragmatism principle is not a fixed characteristic; a pragmatic test that does not possess all the characteristics of an explanation study can still produce reliable and beneficial results.