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ASQ3 and/or the Bayley-III to support clinicians' decision making
Robin Mackin1, Nadya Ben Fadel1,2, Jana Feberova1,2
1University of Ottawa, Ottawa, Ontario, Canada.
Insights
The Ages and Stages Questionnaire-3rd edition (ASQ3) and Bayley Scales of Infant Development-3rd edition (Bayley-III) effectively guide referrals for very preterm infants. Physician-supervised ASQ3 may suffice for developmental assessments, aiding clinical decisions.
Area of Science:
- Neonatal developmental pediatrics
- Clinical assessment tools
- High-risk infant follow-up
Background:
- Effective developmental assessment tools are crucial for referring very preterm infants to specialized resources.
- Streamlining assessments aids clinical decision-making for this high-risk population.
Purpose of the Study:
- To evaluate the influence of the Ages and Stages Questionnaire-3rd edition (ASQ3) and Bayley Scales of Infant Development-3rd edition (Bayley-III) scores on clinical referral decisions.
- To compare the predictive value of ASQ3 and Bayley-III in a clinical decision-making context.
Main Methods:
- Retrospective cohort study of infants born before 29 weeks gestation.
- Inclusion of psychologist-administered Bayley-III and physician-observed ASQ3 at 18 months corrected age.
- Formulation of theoretical referral decisions (TRDs) based on assessment cut-offs, compared against final integrated decisions (FID).
Main Results:
- ASQ3 and Bayley-III demonstrated similar predictive value for final referral decisions.
- Physician-based ASQ3, combined with medical and socio-familial data, predicted 93% of referral decisions.
- Comparable kappa values were observed between the two assessment tools.
Conclusions:
- ASQ3 or Bayley-III, alongside comprehensive assessments, can guide most clinician referral decisions for specialty services.
- Physician-supervised ASQ3 may be adequate for referral assessments in extremely preterm infants.
- Further prospective studies are needed to confirm findings and minimize bias.
Background:
Appropriate tools are essential to support a clinician's decision to refer very preterm infants to developmental resources. Streamlining the use of developmental assessment or screening tools to make clinical decisions offers an alternative methodology to help to choose the most effective way to assess this very high-risk population.
Objective:
To examine the influence of the Ages and Stages Questionnaire-3rd edition (ASQ3) and the Bayley Scales of Infant Development-3rd edition (Bayley-III) scores within a clinically-based decision-making process.
Methods:
This retrospective cohort study includes children born at less than 29 weeks gestation who had completed both psychologist-administered Bayley-III and physician-observed ASQ3 assessments at 18 months corrected age. Theoretical referral decisions (TRDs) based on each assessment results were formulated, using cut-off scores between the lower first and second standard deviation values and below the lower second standard deviation values. TRDs to refer to developmental resources were evaluated in light of the multidisciplinary team's actual final integrated decisions (FID).
Results:
Complete data was available for 67 children. The ASQ3 and the Bayley-III had similar predictive value for the FID, with comparable kappa values. Comparisons of the physicians' and psychologists' TRDs with the FIDs demonstrated that the ASQ3 in conjunction with the medical and socio-familial findings predicted 93% of referral decisions.
Conclusion:
Taking into consideration potential methodological biases, the results suggest that either ASQ3 or Bayley-III, along with socio-environmental, medical and neurological assessment, are sufficient to guide the majority of clinicians' decisions regarding referral for specialty services. This retrospective study suggests that the physician-supervised ASQ3 may be sufficient to assess children who had been extremely preterm infants for referral purposes. The findings need to be confirmed in a larger, well-designed prospective study to minimize and account for potential sources of bias.
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