Why Randomized Control Trials Aren’t Always Ethical or Feasible

Explore why the "gold standard" Randomised Control Trial (RCT) isn't always the best fit. Learn about the ethical dilemmas.

Why Randomized Control Trials Aren’t Always Ethical or Feasible

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In the pyramid of evidence-based research, the Randomised Controlled Trial (RCT) is at the top of the pyramid as the gold standard. The isolation of variables and the establishment of causality in this manner can be highly precise by assigning some participants to a treatment group and others to a control group at random. Nevertheless, the formulaic design of an RCT usually comes to a dead end when it collides with the ugly and unpredictable truth of human morality and feasible logistics.

Although RCTs are clear, it is not a solution to all cases. It is critical that any researcher should know the constraints of this model, and it is crucial that the constraints are presented in a clear way, which only can be achieved with the help of professional Scientific and Technical Editing.

The Ethical Problem: The “Equipoise” Problem

Clinical equipoise is the basic ethical criterion of an RCT. Researchers in the medical or scientific society have real doubts about which treatment is better. When a researcher is convinced (or already has grounds to overcome it) that a life-saving treatment is much better than a placebo, withholding that treatment from the control group creates an ethical minefield.

Take an example of a trial of a new, highly promising oncology drug. In case the control group gets the placebo as their condition deteriorates, the researcher will be in a moral crisis. In most instances, it is mere unethical to deprive a possible life-saving intervention in order to meet the statistical criteria of a blind study.

The Feasibility Gap: The Cost, Time and Scale

In addition to ethics, the logistics of an RCT may be prohibitive. These experiments demand huge infrastructure, such as:

  • Sampling A statistically significant sample size.
  • Following rigorous measures of blinding.
  • Long-term follow-ups and data handling.

In other cases, non-profits, or niche research areas, a multi-million dollar cost of a full-scale RCT is prohibitive. Moreover, there are certain phenomena, which just cannot be randomized. By way of illustration, suppose you are studying what happens to people affected by smoking or coming into contact with poisonous chemicals over a long period, you simply cannot ethically or practically determine a group of individuals to smoke two packs a day over the span of twenty years. Researchers in such situations need to use longitudinal cohort studies.

The Real world Data Wins Over the Lab

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RCTs will show poor external validity. The results may be irrelevant to the general population since researchers conduct them in extremely controlled settings with certain inclusion and exclusion criteria.

A researcher who tried a drug on a healthy 30-year-old in a controlled trial may find that it acts completely differently when doctors recommend it to an 80-year-old with more than one comorbidity. The fact is that real-world evidence (RWE) and observational data can give a more realistic view of how an intervention works in the wild, although the data contained in these sources could be less clean.

The value of Accuracy in Reporting

Once the researcher decides to change the direction of an RCT to a quasi-experimental design or the case-control study, the weight of evidence moves to the writing. You need to explain the reason why RCT was not used. Scientific and Technical Editing will be of great help at this point.

The editors take care of the aspect of the transition between the methods and the results such that the limitations aspect of the paper does not weaken the value of the study. Clear language also makes peer reviewers realize that it was not an error in design that lacked randomization, but rather an ethical or physical requirement.

Gold Standard vs. the Floating Exchange rate

It is becoming acknowledged by the scientific community that the one size fits all research design method is counterproductive. Other approaches such as Difference-in-Differences (DiD) or Regression Discontinuity Designs are strong means of asserting causality without incurring the ethical cost of a more traditional RCT.

With the expansion of the frontiers of medicine and social science, we need to change the meaning of rigor. Rigor does not simply mean adherence to a randomly selected protocol, it means the selection of the most ethical, practical and open approach towards the question in question.

Conclusion

The process of overcoming the intricacies of research design is difficult. Both in the case of an RCT or an observational study, your presentation will define your level of achievement in the academic community. At Mars Publications, we offer the same Scientific and Technical Editing skills needed to clean up your manuscripts, deal with the ethical justifications, and make your works meet the most strict editorial boards.

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