A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Decision-Making Regarding Labor and Birth : An Analysis of Online Systems for Expectant Parents
Tekijät: Leite Carla V., Oliveira Rita, Lélis Catarina, Oliveira Ana Patrícia
Toimittaja: Kommers Piet, Macedo Mário, Peng Guo Chao, Abraham Ajith
Konferenssin vakiintunut nimi: IADIS International Conference e-Health
Julkaisuvuosi: 2023
Kokoomateoksen nimi: Proceedings 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
Aloitussivu: 166
Lopetussivu: 174
ISBN: 978-989-8704-50-4
Julkaisun avoimuus kirjaamishetkellä: Ei avoimesti saatavilla
Julkaisukanavan avoimuus : Ei avoin julkaisukanava
Verkko-osoite: https://www.iadisportal.org/digital-library/decision-making-regarding-labor-and-birth-an-analysis-of-online-systems-for-expectant-parents
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.