Combined Physician-Parent Decision Support tool for the neonatal intensive care unit

Frize, Monique; Bariciak, Erika; Dunn, Sandra; Weyand, Sabine; Gilchrist, Jeff; Tozer, Stuart

doi:10.1109/memea.2011.5966652

Cited by 14 publications

(33 citation statements)

References 11 publications

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“…Table contains the characteristics of the DAs. Six DAs focused on decision‐making for preterm infants or infants in the neonatal intensive care unit, two on airway‐related decisions, one on clinical trial enrolment for children with cancer, one on nutrition support for children with cancer and one on scoliosis treatment decisions for children with neuromuscular scoliosis…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Decision aids available for parents making end‐of‐life or palliative care decisions for children: A scoping review

Medeiros

Buckley

Metcalfe

et al. 2020

J Paediatrics Child Health

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Aim: To identify and assess the quality of decision aids that align the decision, values and information provided for parents making end-of-life or palliative care decisions for children with life-threatening conditions. Methods: Six databases and the grey literature were searched in December 2018. Two reviewers independently reviewed database citations, and one reviewed grey literature citations. Citation chaining via Scopus was conducted. Quality was assessed using IPDAS Collaboration Criteria. Results: After reviewing 18 671 database citations and 10 988 grey literature citations, 18 citations describing 11 decision aids remained. Decision aids targeted premature infants, children requiring airway management, children with cancer and children with scoliosis. Three aids underwent testing beyond initial development. Quality scores averaged 27 of 50 points. Conclusions: There are few high-quality decision aids available for use and a lack evidence of widespread clinical use. Additional research is needed to support systematic development and the use of decision aids with families.

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Section: Resultsmentioning

confidence: 99%

“…Quality scores ranged from 17 to 38 of 50, with a mean of 27 of 50. Two DAs (25%) achieved a score above the mean: Physician‐Parent Decision‐Support (35/50) and Prematurity Decision Aid (38/50). Two DAs met the additional criteria for patient stories …”

Section: Resultsmentioning

confidence: 99%

Decision aids available for parents making end‐of‐life or palliative care decisions for children: A scoping review

Medeiros

Buckley

Metcalfe

et al. 2020

J Paediatrics Child Health

View full text Add to dashboard Cite

show abstract

“…The computerized decision support tools can address the gaps in the NICU decision-making by providing reliable information and outcome predictions to aid parents in making informed decisions with clinicians (Safran, 2003), (Frize et al, 2013).…”

Section: List Of Illustrationsmentioning

confidence: 99%

“…Eight parents, who participated in the study, found the tool easy to use and completed the required tasks without any miss-clicks or system navigation errors. Furthermore, the participants indicated they would use the tool if given the opportunity and provided rich comments on how to improve the tool; adding more information was the most common suggestion , (Frize et al, 2013).…”

Section: Ppads (Physician-parent Decision Support)mentioning

confidence: 99%

Integration of Neonatal Mortality Prediction Models into a Clinical Decision Support System

Martirosyan¹

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This thesis describes the development of neonatal mortality risk estimation models using Artificial Neural Networks (ANNs), the integration of these models into the Physician-Parent Decision Support (PPADS) tool, and the pilot study to test the PPADS tool.A set of data mining programs were created to automate the data preparation, the development of ANN models and the selection of models that satisfy the usefulness criteria specified by our clinician partners. These programs were used to classify neonatal mortality data (6% mortality rate) with the average sensitivity and specificity of 81% and 98% respectively.The mortality models were integrated with the PPADS tool to provide predictions about the risk of mortality for neonates admitted to the Neonatal Intensive Care Unit (NICU).The observational and survey study conducted with parents whose infant did not graduate (died) from the NICU gave encouraging results regarding the usefulness of the PPADS tool.iii

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“…The PPADS tool was developed in the MIRG lab at Carleton University and is a tool which provides shared decision-making between physicians and parents, concerning infants in the NICU [36]. The PPADS tool consists of two platforms: a clinician and a parent interface.…”

Section: Physician-parent Decision Support (Ppads)mentioning

confidence: 99%

Applying Data Preparation Methods to Optimize Preterm Birth Prediction

Esty¹

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The purpose of this work was to develop an accurate prediction model which can process information contained in antenatal databases to determine whether a baby will be born prematurely. The focus was on improved data preprocessing to add to methods developed by previous students in the Carleton MIRG (Medical Information technology Research Group) lab.The machine learning classifiers used included Decision Tree (DT) classifiers (for feature reduction) and the Artificial Neural Network (ANN) classifier (for model evaluation).Missing values and class imbalance was dealt with by applying software packages in the R statistical programming language.This research has shown a marked improvement in the accuracy of predicting preterm births.The final sensitivity and specificity results for the BORN (Better Outcomes Registry and Network) database were: Parous 89.2%, and 67.8%, Nulliparous 89.0% and 71.5%, and for PRAMS (Pregnancy Risk Assessment Monitoring System) database: Parous 84.1% and 71.4%, Nulliparous 83.8% and 76.0%. These improved results are promising. An accurate predictive tool will allow caregivers to implement preventative treatment strategies or to ensure delivery occurs in a tertiary health care Centre.iii

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Combined Physician-Parent Decision Support tool for the neonatal intensive care unit

Cited by 14 publications

References 11 publications

Decision aids available for parents making end‐of‐life or palliative care decisions for children: A scoping review

Decision aids available for parents making end‐of‐life or palliative care decisions for children: A scoping review

Integration of Neonatal Mortality Prediction Models into a Clinical Decision Support System

Applying Data Preparation Methods to Optimize Preterm Birth Prediction

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