Assessing mental health during pregnancy: An exploratory qualitative study of midwives' perceptions.

Assessing mental health during pregnancy: An exploratory qualitative study of midwives' perceptions.

Baker, Natasha;Gillman, Lindsay;Coxon, Kirstie;
Midwifery 2020 Vol. 86 pp. 102690
236
baker2020assessingmidwifery

Abstract

Mental health disorders are estimated to affect between 10% and 20% of women who access maternity services and can be defined as a public health issue due to the potential consequences for women, children and families. Detecting problems early in pregnancy can significantly improve outcomes for women and their families. However, mental health problems are not being consistently identified in routine midwifery practice and little is known from current literature about midwives' practice in relation to current national guidelines or the impact models of care have on assessing maternal mental health.To identify midwives' views about barriers and facilitators to screening for mental health in pregnancy using current UK guidelines.Nine community midwives from a single district general hospital in the south of England were recruited to take part in focus groups. Thematic analysis was used to extract key themes from the data.Three key themes were identified from the focus groups and included system factors, social factors and trust. Barriers and facilitators to screening maternal mental health were associated with the initial 'booking' appointment' and differences in models of care. Barriers to screening were defined as high workload, poor continuity, and a lack of trust between women and midwives.This study highlights key barriers and facilitators associated with mental health screening during pregnancy, including issues of trust and uncertainty about women's willingness to disclose mental health conditions. Further research is required to evaluate the relationship between women and midwives in contemporary practice and the influence this may have on maternal mental health.

Citation

ID: 105135
Ref Key: baker2020assessingmidwifery
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
105135
Unique Identifier:
S0266-6138(20)30063-2
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet