| Literature DB >> 28061818 |
Neeltje M T H Crombag1, Marije Lamain-de Ruiter2, Anneke Kwee2, Peter C J I Schielen3, Jozien M Bensing4,5, Gerard H A Visser2, Arie Franx2, Maria P H Koster2,6.
Abstract
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.Entities:
Keywords: Attitudes; Need; Preeclampsia; Preferences; Qualitative research; Screening
Mesh:
Year: 2017 PMID: 28061818 PMCID: PMC5219667 DOI: 10.1186/s12884-016-1195-2
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Fig. 1Categories and subcategories of coded themes used in this study
Socio-demographic characteristics of the study population in high urbanisation and low urbanisation regions
| High urbanisation ( | Low urbanisation ( | |||
|---|---|---|---|---|
| Nulliparous ( | Multiparous ( | Nulliparous ( | Multiparous ( | |
| Mean maternal age | 33.8 | 33.7 | 28.3 | 30.5 |
| Marital status | ||||
| Partner | 11 | 16 | 8 | 10 |
| Single | – | – | – | – |
| Highest educationa | ||||
| Low | – | – | 1 | – |
| Intermediate | 1 | 3 | 3 | 4 |
| High | 10 | 13 | 4 | 6 |
| Occupation | ||||
| Paid job | 11 | 16 | 7 | 9 |
| Unemployed | – | – | 1 | – |
| Housewife | – | – | – | 1 |
| Etnic originb | ||||
| Dutch | 9 | 14 | 8 | 10 |
| Non-Dutch | 2 | 2 | – | – |
| General experience with preeclampsiac | ||||
| Yes | 4 | 13 | 5 | 5 |
| No | 7 | 3 | 3 | 5 |
aEducation was defined as ‘low’ (elementary school, lower level of secondary school), ‘Intermediate’ (higher level of secondary school and intermediate vocational training) and ‘high’ (higher vocational training and university)
Ethnic origin in the Netherlands is defined by country of birth of a person’s parents. If one or both parents are born outside the Netherlands a person is considered non-Dutch (Dutch National Office of Statistics; Statistics of the Netherlands)
cGeneral experience was described as ‘have or have not people in your social environment who have experienced preeclampsia’
Study participants test-preferences regarding the hypothetical offer of prediction models for preeclampsia
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| False-positive classification |
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| Advantages | Disadvantages |
| • Pregnant women will only be classified as ‘ill’ if the condition (preeclampsia) is indeed diagnosed | • The onset of preeclampsia can be suddenly and severe, the condition can only be diagnosed when the pregnant women is already (severly) ill |
| • No unnecessary concern will be raised in the beginning of pregnancy | • Only women who had a previous preeclampsia will receive intensive monitoring during pregnancy |
| • No medical interventions unless the condition is diagnosed |
| Advantages | Disadvantages |
| • Pregnant women who are considered low-risk truly have a low risk of developing preeclampsia | • 80% of women who are considered high-risk will receive intensive care while they would never have developed preeclampsia |
| • Pregnant women who are considered high-risk can lower this risk by supplementation of low-dose aspirin and calcium | • These women may experience unnecessary anxiety |
| • Using prediction models for preeclampsia allows for personalized tailored care | • 1% of women considered low-risk will still develop preeclampsia |