Use of Decision Support Tools to Empower Pregnant Women: Systematic Review

Autor:	Maria Bich-Thuy Truong, Hedvig Nordeng, Elin Thuy Phuong Ngo
Jazyk:	angličtina
Předmět:	medicine.medical_specialty decision support tools media_common.quotation_subject MEDLINE Scopus Health Informatics PsycINFO Review lcsh:Computer applications to medicine. Medical informatics Decision Support Techniques 03 medical and health sciences 0302 clinical medicine Pregnancy Medicine Humans Maternal Health Services 030212 general & internal medicine Empowerment media_common 030219 obstetrics & reproductive medicine business.industry lcsh:Public aspects of medicine lcsh:RA1-1270 mobile application medicine.disease 3. Good health Gestational diabetes empowerment Decision support tools Family medicine lcsh:R858-859.7 Female Pregnant Women business Inclusion (education)
Zdroj:	Journal of Medical Internet Research Journal of Medical Internet Research, Vol 22, Iss 9, p e19436 (2020)
ISSN:	1438-8871
DOI:	10.2196/19436
Popis:	Background Women face many health-related decisions during pregnancy. Digitalization, new technology, and a greater focus on empowering patients have driven the development of patient-centered decision support tools. Objective This systematic review provides an overview of studies investigating the effect of patient-centered decision support tools for pregnant women. Methods We searched 5 online databases, MEDLINE, EMBASE, Web of Science, PsycINFO, and Scopus, from inception to December 1, 2019. Two independent researchers screened titles, abstracts, and full-texts against the inclusion criteria. All studies investigating the effect of patient-centered decision support tools for health-related issues among pregnant women were included. Study characteristics and results were extracted using the review management tool Rayyan and analyzed according to topic, type of decision support tools, control group, outcome measurements, and results. Results The 25 eligible studies covered a range of health topics, including prenatal screening (n=10), gestational diabetes and weight gain (n=7), lifestyle (n=3), blood pressure and preeclampsia (n=2), depression (n=1), asthma (n=1), and psychological well-being (n=1). In general, the use of decision support tools increased women's knowledge, and recording symptoms enhanced satisfaction with maternity care. Conclusions The opportunities created by digitalization and technology should be used to develop innovative patient-centered decision support tools tailored to support pregnant women. Effect on clinical outcomes should be documented.
Databáze:	OpenAIRE
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