2019
DOI: 10.3310/hta23600
|View full text |Cite
|
Sign up to set email alerts
|

Practical help for specifying the target difference in sample size calculations for RCTs: the DELTA2 five-stage study, including a workshop

Abstract: Background The randomised controlled trial is widely considered to be the gold standard study for comparing the effectiveness of health interventions. Central to its design is a calculation of the number of participants needed (the sample size) for the trial. The sample size is typically calculated by specifying the magnitude of the difference in the primary outcome between the intervention effects for the population of interest. This difference is called the ‘target difference’ and should be… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
26
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
6
1
1
1

Relationship

1
8

Authors

Journals

citations
Cited by 20 publications
(26 citation statements)
references
References 219 publications
0
26
0
Order By: Relevance
“…For populations with case-level depression, a successful treatment outcome has been defined as 5 points on the PHQ9 [41]; however, this was calculated using distribution methods, which are not currently advocated [42], and does not incorporate our wider population of interest. In an older population with subthreshold depression a difference of 1.3 has been found to be clinically and cost-effective [43] with a standard deviation of 4, equating to a standardised effect size of 0.325.…”
Section: Methodsmentioning
confidence: 99%
“…For populations with case-level depression, a successful treatment outcome has been defined as 5 points on the PHQ9 [41]; however, this was calculated using distribution methods, which are not currently advocated [42], and does not incorporate our wider population of interest. In an older population with subthreshold depression a difference of 1.3 has been found to be clinically and cost-effective [43] with a standard deviation of 4, equating to a standardised effect size of 0.325.…”
Section: Methodsmentioning
confidence: 99%
“…19 Such statements quantitatively establish that (and set forth 'how') a proposed change will be significantly superior to the status quo or at least non-inferior to it. That is, in a fashion much like the TPP and Minimum Clinically Important Difference (MCID) in clinical trials, [20][21][22] the TPoP ought to be accompanied by a statement of a Minimum Policy-Important Difference (MPID) in terms of policy impact. Unlike the Target Product Profile (TPP) and conventional clinical trial design and clinical MCID, the TPoP encourages the investigator and other stakeholders to jointly set forth one or more MPID value-points and their rationale in the relevant dimensions, such as economic value added (EVA), DALYs averted, or employment rate improvement.…”
Section: Minimum Policy-important Difference (Mpid)mentioning
confidence: 99%
“…After receiving the intervention, a small number of participants (approx. [30][31][32][33][34][35][36][37][38][39][40] who consented at trial entry to being contacted about the interview study will be invited to participate in semi-structured interviews.…”
Section: Qualitative Sub-studymentioning
confidence: 99%
“…Estimates of the minimal detectable change (MDC) for the two KOOS subscales most relevant for ACLD vary between five and 12 points (Symptoms 5-9, and Sport/Rec 6-12) [36]. A mean target difference of eight points in the primary outcome, KOOS4, along with a standard deviation of 19 (the highest value observed in a trial of acute patients at baseline amongst the KOOS subscales) were assumed [37,38]. Given these assumptions, 120 participants per group are required (1:1 allocation, 240 in total) to achieve 90% power at two-sided 5% significance level in the absence of any clustering of outcome.…”
Section: Sample Size the Number Of Participantsmentioning
confidence: 99%