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Digital decision aid for prenatal counseling in imminent extreme premature labor: development and pilot testing

Authors :
Josephus F. M. van den Heuvel
Marije Hogeveen
Margo Lutke Holzik
Arno F. J. van Heijst
Mireille N. Bekker
Rosa Geurtzen
Source :
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-9 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract Background In case of extreme premature delivery at 24 weeks of gestation, both early intensive care and palliative comfort care for the neonate are considered treatment options. Prenatal counseling, preferably using shared decision making, is needed to agree on the treatment option in case labor progresses. This article described the development of a digital decision aid (DA) to support pregnant women, partners and clinicians in prenatal counseling for imminent extreme premature labor. Methods This DA is developed following the International Patient Decision Aid Standards. The Dutch treatment guideline and the Dutch recommendations for prenatal counseling in extreme prematurity were used as basis. Development of the first prototype was done by expert clinicians and patients, further improvements were done after alpha testing with involved clinicians, patients and other experts (n = 12), and beta testing with non-involved clinicians and patients (n = 15). Results The final version includes information, probabilities and figures depending on users’ preferences. Furthermore, it elicits patient values and provides guidance to aid parents and professionals in making a decision for either early intensive care or palliative comfort care in threatening extreme premature delivery. Conclusion A decision aid was developed to support prenatal counseling regarding the decision on early intensive care versus palliative comfort care in case of extreme premature delivery at 24 weeks gestation. It was well accepted by parents and healthcare professionals. Our multimedia, digital DA is openly available online to support prenatal counseling and personalized, shared decision-making in imminent extreme premature labor.

Details

Language :
English
ISSN :
14726947
Volume :
22
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Medical Informatics and Decision Making
Publication Type :
Academic Journal
Accession number :
edsdoj.09bb3cf09fea4dcf8591a051c769a90f
Document Type :
article
Full Text :
https://doi.org/10.1186/s12911-021-01735-z