Balancing precision and affordability in assessing infant development in large-scale mortality trials: secondary

Kristy P Robledo1, Ingrid Rieger2, Sarah Finlayson3

  • 1NHMRC Clinical Trials Centre, The University of Sydney, Camperdown, New South Wales, Australia kristy.robledo@sydney.edu.au.

Insights

The Ages and Stages Questionnaire (ASQ-3) can screen for developmental delay in infants, but requires larger sample sizes compared to the Bayley Scales of Infant Development (Bayley-III). This approach may offer cost savings in large trials.

Area of Science:

  • Neonatal research
  • Developmental pediatrics
  • Clinical trial methodology

Background:

  • Large-scale mortality trials need reliable secondary assessments for infant impairment.
  • The Ages and Stages Questionnaire (ASQ-3) is a parent-completed screening tool.
  • The Bayley Scales of Infant Development (Bayley-III) is a clinician-administered diagnostic tool.

Purpose of the Study:

  • To compare the effectiveness of ASQ-3 versus Bayley-III in classifying developmental impairment in infants.
  • To evaluate the cost-effectiveness of using screening versus diagnostic tools in large clinical trials.

Main Methods:

  • Secondary analysis of 405 children born <30 weeks gestation from the Australian Placental Transfusion Study.
  • Children assessed around 2 years corrected age.
  • Comparison of ASQ-3 (screening) and Bayley-III (diagnostic) for impairment classification.

Main Results:

  • ASQ-3 demonstrated good predictive ability for developmental delay (AUC 0.75-0.99), with sensitivity 57%-100% and specificity 88%-90%.
  • Using ASQ-3 could double the sample size but save $13M in assessment costs compared to Bayley-III.
  • Potential cost savings may be offset by the need for larger sample sizes and upscaling.

Conclusions:

  • In large trials, the high cost of precise diagnostic tools like Bayley-III may be prohibitive.
  • Employing a less precise, calibrated screening tool (ASQ-3) with a larger sample size can be a more affordable strategy.
  • Careful consideration of assessment precision, sample size, and overall cost is crucial for large-scale clinical trials.
Abstract

Related Concept Videos

Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
119
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
82
Actuarial Approach01:20

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
61