RESUMO
BACKGROUND: Alcohol consumption during pregnancy is associated with major birth defects and developmental disabilities. Questionnaires concerning alcohol consumption during pregnancy underestimate alcohol use while the use of a reliable and objective biomarker for alcohol consumption enables more accurate screening. Phosphatidylethanol can detect low levels of alcohol consumption in the previous two weeks. In this study we aimed to biochemically assess the prevalence of alcohol consumption during early pregnancy using phosphatidylethanol in blood and compare this with self-reported alcohol consumption. METHODS: To evaluate biochemically assessed prevalence of alcohol consumption during early pregnancy using phosphatidylethanol levels, we conducted a prospective, cross-sectional, single center study in the largest tertiary hospital of the Netherlands. All adult pregnant women who were under the care of the obstetric department of the Erasmus MC and who underwent routine blood testing at a gestational age of less than 15 weeks were eligible. No specified informed consent was needed. RESULTS: The study was conducted between September 2016 and October 2017. In total, we received 1,002 residual samples of 992 women. After applying in- and exclusion criteria we analyzed 684 samples. Mean gestational age of all included women was 10.3 weeks (SD 1.9). Of these women, 36 (5.3 %) tested positive for phosphatidylethanol, indicating alcohol consumption in the previous two weeks. Of women with a positive phosphatidylethanol test, 89 % (n = 32) did not express alcohol consumption to their obstetric care provider. CONCLUSIONS: One in nineteen women consumed alcohol during early pregnancy with a high percentage not reporting this use to their obstetric care provider. Questioning alcohol consumption by an obstetric care provider did not successfully identify (hazardous) alcohol consumption. Routine screening with phosphatidylethanol in maternal blood can be of added value to identify women who consume alcohol during pregnancy.
Assuntos
Consumo de Bebidas Alcoólicas/sangue , Glicerofosfolipídeos/sangue , Adulto , Biomarcadores/sangue , Estudos Transversais , Feminino , Idade Gestacional , Humanos , Modelos Logísticos , Países Baixos , Gravidez , Primeiro Trimestre da Gravidez/sangue , Estudos Prospectivos , Autorrelato , Adulto JovemRESUMO
INTRODUCTION: Vulnerable clients (i.e. clients reporting psychopathology, psychosocial problems, or substance use, and/or features of deprivation) represent a challenge in perinatal care, both in term of care process and outcome. Adhering to a structured care process (i.e. structured Antenatal Risk Management [sARM]) has shown to benefit professionals in supporting vulnerable clients, but its effect on client experiences is yet to be determined. As better processes are assumed to benefit outcome, we investigated the relationship between vulnerable clients' experiences with antenatal care in perinatal units adhering to differing degrees of sARM. METHODS: We combined data from two sources: on the client level antenatal collected survey data from which vulnerability status (Mind2Care instrument) and client experiences (ReproQ questionnaire) were derived, and on the unit level interview data from healthcare providers from which the unit degree of sARM was ascertained. RESULTS: A total of Nâ¯=â¯1.176 clients from Nâ¯=â¯38 units were included in the study. Vulnerable clients with psychosocial problems reported more negative experiences than non-vulnerable clients. In high sARM units, vulnerable clients, regardless of type of problems, reported more negative experiences than non-vulnerable clients. In multiple regression analysis this effect disappeared and only vulnerability defined as psychosocial problems remained predictive for negative experiences. CONCLUSIONS: Vulnerable clients, specifically those with psychosocial problems, present a challenge in perinatal healthcare. Negative appraisal of care might be an unavoidable drawback of adhering to sARM. It also stresses the need for improving caregiver-client expectations and system side improvements.