Abstract
Patients are filtered by rigorously defined study selection criteria for recruitment into research; this is necessary to improve signal detection, improve internal validity, reduce study-related risks, and meet ethical standards. Research patients are assessed and managed in ways that differ from usual practice. So, neither patients nor the treatment environment resembles everyday patients treated in everyday practice. This diminishes the generalizability of study findings; that is, their external validity. There is, therefore, an increasing trend to conduct “real-world studies.” In this context, “real-world patients” are those who are not filtered by restrictive study selection criteria, and “real-world settings” are those in which patients are managed with few study-related guidelines and restrictions. The elephant in the room is that the glamour associated with such real-world studies is an illusion. This is because real-world patients in one real-world setting can differ widely from real-world patients in another real-world setting. So, even in real-world studies, we can only generalize study findings to the population from which the sample was drawn and the setting in which the sample was managed. As a final note, many assessments in research, such as computerized or pen-and-paper neuropsychological tests, are not real-world measures as are, for example, measures of activities of daily living or quality of life.
Keywords
Medical and mental health research is usually conducted in tertiary care settings and patients are recruited only if they meet rigid study selection criteria (Supplementary Materials [SM], Box S1). Such criteria usually exclude patients who are likely to show ceiling or floor effects and those who may experience atypical or adverse outcomes. Such criteria also seek to make the sample homogenous in order to reduce statistical noise in study outcomes. The objectives of such sample filtration are to improve signal detection, improve the internal validity of the study, reduce risks to patients, and maintain ethical standards.
The biggest limitation of such studies is that the patients recruited are not characteristic of patients in the community. 1 So, generalization of the study findings becomes difficult; that is, external validity is compromised. In this context, many investigating teams seek to recruit “real-world patients” in “real-world studies” conducted in “real-world settings.” What do these terms mean?
As a digression, randomized controlled trials (RCTs) conducted with restrictive selection criteria are called
In explanation, the larger the number of study-related guidelines and restrictions imposed, the more the study environment becomes a research setting and not a real-world setting. Another way of explaining it is that patient care in a real-world setting is
As a digression, this is important because study-related guidelines and restrictions related to, for example, additional assessments and interventions will change the treatment environment, making the setting less natural or “real”. So, generalization of the study findings to the natural setting becomes difficult, and external validity is again compromised.
So, real-world patients and real-world practice in a tertiary care psychiatric hospital will be quite different from real-world patients and real-world practice in the psychiatry unit of a general hospital; and both of these will be different from real-world patients and real-world practice in general practice or primary care clinics. Who is to say which is the “real” real-world patient and the “real” real-world setting? Thus, generalization of real-world research is difficult unless we know all the obvious and not-so-obvious variables involved.
Finally, readers may also note that many outcomes that are assessed in psychiatry are not
Supplemental Material
Supplemental material for this article is available online.
Footnotes
Declaration of Conflicting Interests
The author declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author received no financial support for the research, authorship and/or publication of this article.
References
Supplementary Material
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