A4 Vertaisarvioitu artikkeli konferenssijulkaisussa

Decision-Making Regarding Labor and Birth : An Analysis of Online Systems for Expectant Parents




TekijätLeite Carla V., Oliveira Rita, Lélis Catarina, Oliveira Ana Patrícia

ToimittajaKommers Piet, Macedo Mário, Peng Guo Chao, Abraham Ajith

Konferenssin vakiintunut nimiIADIS International Conference e-Health

Julkaisuvuosi2023

Kokoomateoksen nimiProceedings of the International Conferences on ICT, Society, and Human Beings 2023, ICT 2023; and e-Health 2023, EH 2023; Connected Smart Cities 2023, CSC 2023; and Big Data Analytics, Data Mining and Computational Intelligence 2023, BigDaCI 2023

Aloitussivu166

Lopetussivu174

ISBN978-989-8704-50-4

Julkaisun avoimuus kirjaamishetkelläEi avoimesti saatavilla

Julkaisukanavan avoimuus Ei avoin julkaisukanava

Verkko-osoitehttps://www.iadisportal.org/digital-library/decision-making-regarding-labor-and-birth-an-analysis-of-online-systems-for-expectant-parents


Tiivistelmä

Decision making during the perinatal period is a complex, multidimensional and individual process. A Birth Plan, as a communication tool, can help promote perinatal literacy, to trigger discussions between expectant parents and healthcare professionals, and clarify decisions, needs, and expectations. To understand what topics are included in online decision-making systems, also referred as birth plan generators, and how complete the options provided are, this research was conducted. Using a web search procedure, four plans were selected, and their content analyzed. From the emerged data, 13 Categories and 59 Subcategories were clustered, and a score from 2 to 8 was assigned depending on completeness. The most common Subcategories found were Water (Type of birth) and (Freedom) To move, which scored the highest; while the least common were: Updates, First Language, Religion, Privacy, Urinary catheterization, End of Placenta, (Freedom) To breath and To vocalize, which scored the lowest possible. Several inferences were discussed regarding the subcategories results, and in conclusion, it is suggested that the clustered data be used as an information architecture for future work, to develop a better and more comprehensive decision support solution for labor and birth. © ICT 2023.All rights reserved.



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