A brief survey to identify pregnant women experiencing increased psychosocial and socioeconomic risk
A brief survey to identify pregnant women experiencing increased psychosocial and socioeconomic risk
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DOI:
10.1016/j.wombi.2018.08.162
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发表时间:
2019-06-01
期刊:
影响因子:
3.8
通讯作者:
Goldfeld, Sharon
中科院分区:
文献类型:
--
作者:
Price, Anna;Bryson, Hannah;Goldfeld, Sharon
Problem: Identifying pregnant women whose children are at risk of poorer development in a rapid, acceptable and feasible way.Background: A range of antenatal psychosocial and socioeconomic risk factors adversely impact children's health, behaviour and cognition.Aim: Investigate whether a brief, waiting room survey of risk factors identifies women experiencing increased antenatal psychosocial and socioeconomic risk when asked in a private, in-home interview.Methods: Brief 10-item survey (including age, social support, health, smoking, stress/ anxious mood, education, household income, employment) collected from pregnant women attending 10 Australian public birthing hospitals, used to determine eligibility (at least 2 adverse items) for the "right@home" trial. 735 eligible women completed a private, in-home interview (including mental health, wellbeing, substance use, domestic violence, housing problems). Regression models tested for dose-response trends between the survey risk factor count and interview measures.Findings: 38%, 31%, 15% and 16% of women reported a survey count of 2, 3, 4 and 5 or more adverse risk factors, respectively. Dose-response relationships were evident between the survey count and interview measures, e.g. of women with a survey count of 2, 8% reported ever having a drug problem, 4% experienced domestic violence in the last year and 10% experienced housing problems, contrasting with 31%, 31% and 26%, respectively, for women reporting a survey count of 5 or more.Discussion/Conclusions: A brief, waiting room survey of psychosocial and socioeconomic risk factors concurs with a private antenatal risk factor interview, and could help health professionals quickly identify which women would benefit from more support. (C) 2018 Australian College of Midwives. Published by Elsevier Ltd. All rights reserved.