Background: To improve their quality, healthcare systems are increasingly focused on value delivered to patients. For perinatal care, the International Consortium for Health Outcomes Measurement (ICHOM) proposed a patient-centred outcome set with both clinical and patient-reported measures for pregnancy and childbirth (PCB set). This study aimed to identify factors that affect the implementation of the PCB set at the pre-implementation stage, using the consolidated framework for implementation research (CFIR).
View Article and Find Full Text PDFBackground And Aims: Patient-reported outcome and experience measures (PROM and PREM) can facilitate shared decision making and hold potential to improve healthcare quality. However, their adoption in perinatal care is still limited. The International Consortium for Health Outcomes Measurement (ICHOM) developed a Pregnancy and Childbirth (PCB) outcome set, including PROM and PREM questionnaires.
View Article and Find Full Text PDFObjective: To explore the prenatal trajectory and the experiences of mothers of a child with Down syndrome (DS) at the time of receiving information or test results when participating in a nationwide prenatal screening program.
Methods: An online questionnaire study was completed by mothers of children with DS born between January 1, 2010 and February 28, 2016 (n =ā212). Data were collected between February 15 and 28, 2016.
Background: To improve early risk-identification in pregnancy, research on prediction models for common pregnancy complications is ongoing. Therefore, it was the aim of this study to explore pregnant women's perceptions, preferences and needs regarding prediction models for first trimester screening for common pregnancy complications, such as preeclampsia, to support future implementation.
Method: Ten focus groups (of which five with primiparous and five with multiparous women) were conducted (nā=ā45).
Background: Uptake rates for Down syndrome screening in the Netherlands are low compared to other European countries. To investigate the low uptake, we explored women's reasons for participation and possible influences of national healthcare system characteristics. Dutch prenatal care is characterised by an approach aimed at a low degree of medicalisation, with pregnant women initially considered to be at low risk.
View Article and Find Full Text PDFObjective: Our objective is to study the association between potentially influential determinants and first-trimester combined test (FCT) uptake rates in the central region of the Netherlands.
Methods: Data were extracted from the national prenatal screening database Peridos and the Netherlands Perinatal Registry and compared at the level of the health care provider. Univariable and multivariable linear regression analysis was used to determine the effect of determinants (maternal age, parity, socio-economic status (SES), mode of conception, ethnicity and urbanisation) on uptake.
Background: The offer of prenatal Down's syndrome screening is part of routine antenatal care in most of Europe; however screening uptake varies significantly across countries. Although a decision to accept or reject screening is a personal choice, it is unlikely that the widely differing uptake rates across countries can be explained by variation in individual values alone.The aim of this study was to compare Down's syndrome screening policies and programmes in the Netherlands, where uptake is relatively low (<30%) with England and Denmark where uptake is higher (74 and > 90% respectively), in an attempt to explain the observed variation in national uptake rates.
View Article and Find Full Text PDFObjective: Uptake rates for Down syndrome screening (DSS) in the Netherlands are low compared with those in Northern European countries (27% versus 61% in the United Kingdom and 90% in Denmark). These differences are unexpected, especially since the countries have similar cultural and social values.
Method: To analyse factors that underlie differences in uptake we reviewed current literature on individual characteristics and healthcare system factors, which determine potential influential factors on utilization of DSS.