Treatment FAQ

what does an "on-treatment analysis" look at

by Sidney Schaden Published 3 years ago Updated 2 years ago
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When adherence to a randomly allocated intervention is relatively poor, one can undertake a per-protocol, or on-treatment (OT) analysis. In such an analysis, outcomes are assessed on the basis of what treatment the patient actually received, irrespective of the original randomisation.

When adherence to a randomly allocated intervention is relatively poor, one can undertake a per-protocol, or on-treatment (OT) analysis. In such an analysis, outcomes are assessed on the basis of what treatment the patient actually received, irrespective of the original randomisation.

Full Answer

What is the difference between as treated analysis and intention-to-treat analysis?

In an analysis by treatment received (as-treated analysis), the effect of a therapy is judged only in patients who actually receive the therapy; in an intention-to-treat analysis, patients are evaluated on the basis of the group to which they were randomly assigned, regardless of whether they actually received the therapy.

What is an “as treated” analysis?

An “as treated” analysis classifies RCT participants according to the treatment that they received rather than according to the treatment that they were assigned to per protocol analysis may be appropriate when analysing adverse events in drug trials, as it can be argued that side-effects of actual treatment received is clinically relevant

What is the intent to treat approach in clinical trials?

Randomized clinical trials analyzed by the intent-to-treat approach provide unbiased comparisons among treatment groups. To avoid dilution of treatment effect, many people also perform an analysis by treatment actually received, although this method may introduce bias into the results.

What is an on-treatment analysis?

This analysis can be restricted to only the participants who fulfill the protocol in terms of the eligibility, adherence to the intervention, and outcome assessment. This analysis is known as an "on-treatment" or "per protocol" analysis.

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What is the main purpose of intention to treat analysis?

The intention-to-treat analysis preserves the prognostic balance afforded by randomization, thereby minimizing any risk of bias that may be introduced by comparing groups that differ in prognostic variables.

What is the difference between ITT and mITT?

Trials were categorized based on the "type" of intention-to-treat reporting as follows: ITT, trials reporting the use of standard ITT approach; mITT, trials reporting the use of a "modified intention-to-treat" approach; and "no ITT", trials not reporting the use of any intention-to-treat approach.

What is the difference between ITT and PP?

By using the ITT approach, investigators aim to assess the effect of assigning a drug whereas by adopting the PP analysis, researchers investigate the effect of receiving the assigned treatment, as specified in the protocol.

How do you calculate ITT?

Estimating the ITT effect is straightforward. The ITT estimate is essentially the difference between the treatment group and control group mean (often adjusted for baseline differences), regardless of the degree of compliance.

Does ITT reduce attrition bias?

ITT prevents attrition bias when evaluating treatment assignment but may not provide a true estimate of treatment effect if some patients are non-adherent.

What is modified ITT analysis?

It implies that subjects are included in a trial and analysed regardless of whether they satisfied the entry criteria, the treatment to which they were originally allocated and subsequent withdrawal or deviation from protocol. Excluding patients from analysis may introduce bias and lead to misleading results.

Why is ITT better than per protocol?

While an analysis according to the ITT principle aims to preserve the original randomization and to avoid potential bias due to exclusion of patients, the aim of a per-protocol (PP) analysis is to identify a treatment effect which would occur under optimal conditions; i.e. to answer the question: what is the effect if ...

What is an ITT population?

In a randomised trial, the set of all randomised patients is known as the 'intention to treat population', or the ITT population. This clinical trial study population is intended to represent suitable patients and to be reflective of what might be seen if the treatment was used in clinical practice.

What is a non inferiority trial?

in-FEER-ee-OR-ih-tee TRY-ul) A study that tests whether a new treatment is not worse than an active treatment it is being compared to. Non-inferiority trials are sometimes done when a placebo (an inactive treatment) cannot be used.

What is a treatment on the treated analysis?

In an analysis by treatment received (as-treated analysis), the effect of a therapy is judged only in patients who actually receive the therapy; in an intention-to-treat analysis, patients are evaluated on the basis of the group to which they were randomly assigned, regardless of whether they actually received the ...

What is intention to treat analysis?

In an analysis by treatment received ( as-treated analysis ), the effect of a therapy is judged only in patients who actually receive the therapy; in an intention-to-treat analysis, patients are evaluated on the basis of the group to which they were randomly assigned, regardless of whether they actually received the therapy. Although as-treated analyses may seem more intuitive, they have the potential to introduce significant biases. Patients who do not adhere to a given therapy may differ significantly from those who do and often have higher event rates than do adherent patients. In addition, compliance may not be balanced between groups, particularly for therapies with significant side effects. Thus, the exclusion of subjects who do not continue the assigned therapy for whatever reason tends to bias the interpretation toward a conclusion of greater efficacy of the therapy being evaluated because only compliant patients are studied. Such an approach may confirm biological efficacy but does not establish real-world effectiveness; in clinical practice, the overall performance of a given therapy must take into account patients who cannot or will not adhere. 56 Intention-to-treat analysis provides an estimate of treatment effect that tends to be more conservative, and it remains the “gold standard” for the interpretation of RCTs. In studies with high rates of noncompliance, as-treated analyses may be performed as a secondary analysis in order to investigate biological efficacy, but such analyses should be seen as supplementary to the intention-to-treat analysis.

What is modified ITT analysis?

A modified ITT analysis includes all randomized patients that meet a specific minimum standard or simple set of criteria. The criteria should be simple, objective, and very straightforward. The criteria should not be related to the outcome (e.g., if you know that patients with lower socioeconomic status will be less likely to respond to your intervention, you cannot use socioeconomic status as a criterion). Using subjective criteria defeats the purpose of a modified ITT. The more common modified ITT will include all patients who received at least one dose of the study intervention (regardless of what happened to the patient after the initial dose). The study protocol should pre-specify a modified ITT analysis and its criteria. Otherwise, selection bias can occur (e.g., if you find that a certain characteristic correlates with poor intervention response, you could later exclude patients with that characteristic from the analysis.) Another common modified ITT analysis excludes all patients who had major protocol violations (e.g., did not meet the study selection criteria). Usually the primary analysis should be an ITT analysis, but in some rare cases (e.g., noninferiority or equivalence trials), a modified ITT may be appropriate. Modified ITT analyses are relatively common for secondary or exploratory analysis. Determining whether to include sites with protocol violations can be a challenge. ( Figure 14.4 :.

Do patients who do not adhere to a given therapy have higher event rates than adherent patients?

Patients who do not adhere to a given therapy may differ significantly from those who do and often have higher event rates than do adherent patients. In addition, compliance may not be balanced between groups, particularly for therapies with significant side effects.

Is ITT analysis a primary analysis?

Usually the primary analysis should be an ITT analysis, but in some rare cases (e.g., noninferiority or equivalence trials), a modified ITT may be appropriate. Modified ITT analyses are relatively common for secondary or exploratory analysis.

What is clinical trial analysis?

The analysis of clinical trials involves many related topics including: the choice of an estimand (measure of effect size) of interest that is closely linked to the objectives of the trial, the choice and definition of analysis sets, the choice of an appropriate statistical model for the type of data being studied, ...

Why is it important to use ITT analysis in clinical trials?

Randomized clinical trials analyzed by the intention-to-treat (ITT) approach provide fair comparisons among the treatment groups because it avoids the bias associated with the non-random loss of the participants . The basic ITT principle is that participants in the trials should be analysed in the groups to which they were randomized, regardless of whether they received or adhered to the allocated intervention. However, medical investigators often have difficulties in accepting ITT analysis because of clinical trial issues like missing data or adherence to protocol .

What are the problems with clinical trials?

Failure to include all participants in the analysis may bias the trial results. Most trials do not yield perfect data, however. " Protocol violations" may occur, such as when the patients do not receive the full intervention or the correct intervention or a few ineligible patients are randomly allocated in error. Despite the fact that most clinical trials are carefully planned, many problems can occur during the conduct of the study. Some examples are as follows: 1 Patients who do not satisfy the inclusion and/or exclusion criteria are included in the trial, 2 A patient is randomized to Treatment A, but is treated with Treatment B, 3 Some patients drop out from the study, or 4 Some patients are not compliant, that is, do not take their medication as instructed, and so on.

What is a per protocol analysis?

A per-protocol analysis represents a "best-case scenario" to reveal the effect of the drug being studied. However, by restricting the analysis to a selected patient population, it does not show all effects of the new drug. Further, adherence to treatment may be affected by other factors that influence the outcome.

How to do a needs analysis?

According to Legault (2018), there are three steps involved in an effective needs analysis but we can divide them further into four: 1 Determining the desired outcome. This step looks into the desired performance of employees or desired business outcome. In order to get the necessary information, some of the most reliable sources are the managers and supervisors, documentation related to jobs and duties, and performance evaluations. 2 Determining the current outcome. Knowing the desired goal in terms of performance and business outcome leads to the next step, which is identifying the actual performance of employees to see if the goals are being met. This step can be conducted by using observation and interview methods, as well as by looking into performance metrics and reports. 3 Determining the cause of performance gap and the appropriate solution. Once the issue is identified, the process of digging into its root cause begins. This process involves investigating the factors that can affect the performance of employees, such as knowledge and skills, motivation, tools and equipment, etc. Knowing the problem and what causes it makes figuring out a viable and effective solution easier.

Why is a thorough needs analysis necessary?

Training programs are not cookie-cutter solutions, that is why a thorough needs analysis is necessary not only to identify what the problem is but also the root cause of it and how to effectively address it.

Why is needs analysis important?

Needs analysis helps organizations become proactive in approaching potential issues before they become actual problems. Being able to figure out the gaps in employees’ knowledge and skills before these gaps start creating real issues that can affect the organization is just one of needs analysis’ important benefits.

When is training needs assessment conducted?

Training needs assessment, which involves the process of needs analysis, can be conducted anytime but is often implemented during the onboarding period, performance reviews, promotion consideration, and when there are changes in the organization that require employees to change job roles.

How to see where the business predicament lies?

To see where the business predicament lies, managers must first conduct a thorough needs analysis. Needs analysis will make it clear whether employee skills or a thorough knowledge of tasks are at the heart of the question, not some specific hiring problems, understaffing, or inadequate equipment.

What is trend analysis?

Trend analysis is an analysis of the trend of the company by comparing its financial statements to analyze the trend of market or analysis of the future on the basis of results of past performance and it’s an attempt to make the best decisions on the basis of results of the analysis done.

What is trend analysis in accounting?

The trend analysis in accounting can be used by management or the analyst to forecast future financial statements. Following blindly can turn out to be dangerous if a proper analysis of the past event is not done.

What is the purpose of examining sales patterns?

Examining sales patterns to see if sales are declining because of specific customers or products or sales regions; Examining expenses report claims for proof of fraudulent claims. Examining expense line items to find out if there are any unusual expenditures in a reporting period.

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