Sample size in multistakeholder Delphi surveys: at what minimum sample size do replicability of results stabilize?

J Clin Epidemiol

MRC/CSO Social and Public Health Sciences Unit & Robertson Centre for Biostatistics, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.

Published: October 2024

AI Article Synopsis

  • This study focused on the appropriate sample size needed for multistakeholder Delphi surveys, particularly looking at how sample size impacts the replicability of results and examining variations based on participant characteristics such as gender, age, and profession.
  • Data from three significant Delphi surveys were analyzed to develop better guidelines for reporting healthcare intervention trials, revealing that an average sample size of 60 yielded a replicability rate of 81%.
  • Results indicated that increasing the sample size from 80 to 160 participants improved replicability by 3% while lowering variability, with different subgroup analyses highlighting that a sample size of 20 to 30 provided moderate replicability.

Article Abstract

Background And Objective: The minimum sample size for multistakeholder Delphi surveys remains understudied. Drawing from three large international multistakeholder Delphi surveys, this study aimed to: 1) investigate the effect of increasing sample size on replicability of results; 2) assess whether the level of replicability of results differed with participant characteristics: for example, gender, age, and profession.

Methods: We used data from Delphi surveys to develop guidance for improved reporting of health-care intervention trials: SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) and CONSORT (Consolidated Standards of Reporting Trials) extension for surrogate end points (n = 175, 22 items rated); CONSORT-SPI [CONSORT extension for Social and Psychological Interventions] (n = 333, 77 items rated); and core outcome set for burn care (n = 553, 88 items rated). Resampling with replacement was used to draw random subsamples from the participant data set in each of the three surveys. For each subsample, the median value of all rated survey items was calculated and compared to the medians from the full participant data set. The median number (and interquartile range) of medians replicated was used to calculate the percentage replicability (and variability). High replicability was defined as ≥80% and moderate as 60% and <80% RESULTS: The average median replicability (variability) as a percentage of total number of items rated from the three datasets was 81% (10%) at a sample size of 60. In one of the datasets (CONSORT-SPI), a ≥80% replicability was reached at a sample size of 80. On average, increasing the sample size from 80 to 160 increased the replicability of results by a further 3% and reduced variability by 1%. For subgroup analysis based on participant characteristics (eg, gender, age, professional role), using resampled samples of 20 to 100 showed that a sample size of 20 to 30 resulted to moderate replicability levels of 64% to 77%.

Conclusion: We found that a minimum sample size of 60-80 participants in multistakeholder Delphi surveys provides a high level of replicability (≥80%) in the results. For Delphi studies limited to individual stakeholder groups (such as researchers, clinicians, patients), a sample size of 20 to 30 per group may be sufficient.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jclinepi.2024.111485DOI Listing

Publication Analysis

Top Keywords

sample size
16
delphi surveys
16
multistakeholder delphi
12
items rated
12
size multistakeholder
8
minimum sample
8
size replicability
8
participant data
8
data set
8
surveys
5

Similar Publications

Introduction: The sequential parallel comparison design has emerged as a valuable tool in clinical trials with high placebo response rates. To further enhance its efficiency and effectiveness, adaptive strategies, such as sample size adjustment and allocation ratio modification can be employed.

Methods: We compared the performance of Jennison and Turnbull's method and the Promising Zone approach for sample size adjustment in a two-phase sequential parallel comparison design study.

View Article and Find Full Text PDF

Long-acting and extended-release drug delivery strategies have greatly improved treatment for a variety of medical conditions. Special populations, specifically infants, children, young people, and pregnant and postpartum women, could greatly benefit from access to these strategies but are often excluded from clinical trials. We conducted a systematic review of all clinical studies involving the use of a long-acting intramuscular injection or implant in infants, children, young people, and pregnant and postpartum people.

View Article and Find Full Text PDF

Highly active antiretroviral therapy has led to a significant increase in the life expectancy of people living with HIV. The trade-off is that HIV-infected patients often suffer from comorbidities that require additional treatment, increasing the risk of Drug-Drug Interactions (DDIs), the clinical relevance of which has often not been determined during registration trials of the drugs involved. Therefore, it is important to identify potential clinically relevant DDIs in order to establish the most appropriate therapeutic approaches.

View Article and Find Full Text PDF

Genetic Stability and Inbreeding in a Synthetic Maize Variety Based on a Finite Model.

Plants (Basel)

January 2025

Departamento de Fitotecnia, Instituto de Horticultura, Universidad Autónoma Chapingo, km 38.5 Carretera México-Texcoco, Chapingo 56230, Estado de México, Mexico.

A synthetic variety (SV) of maize may not become stable if the sample size representing each parental line (m) is small. This research aimed to evaluate the effect of m on the inbreeding coefficient (IC) of the SV (FSynL) and on the stability of its genetic constitution. An SV formed by randomly mating l unrelated lines whose inbreeding coefficient is F was considered, and a random sample was taken from the genotypic array of the progeny produced by selfing a parental line A1A2 (GA) This sample was visualized as a set of g groups of four plants whose genotypes are all four of the GA and e represented the number of plants that failed to form a group.

View Article and Find Full Text PDF

Background/objectives: Time-restricted eating (TRE) has been associated with beneficial effects for inflammation and oxidative stress; however, the effects of TRE on inflammation and oxidative stress in the aging population have not been explored.

Methods: This secondary analysis tested the effects of TRE on pro-inflammatory (hs-CRP [high-sensitivity C-reactive protein], IL-1β [interleukin 1 beta], IL-6 [interleukin 6], TNF-α [tumor necrosis factor alpha]) and oxidative stress (8-isoprostane) biomarkers in ten overweight older adults (mean age = 77.1 ± 6.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!