Prenatal counseling for congenital anomaly tests: parental preferences and perceptions of midwife performance

Prenat Diagn. 2013 Apr;33(4):341-53. doi: 10.1002/pd.4074. Epub 2013 Feb 28.

Abstract

Objective: Evidence-based instruments to evaluate the preferences and experiences of future parents regarding prenatal counseling for congenital anomaly tests are currently lacking. We developed the quality of care through clients' eyes prenatal questionnaire (QUOTE(prenatal) ), a client-centered instrument, and assessed its components. Furthermore, the QUOTE(prenatal) was used to provide insight into (1) clients' previsit preferences and (2) clients' postvisit experience, that is, perceived care provider performance regarding the counseling they received.

Method: In the questionnaire survey, a principal component analysis was used to gain insight into the underlying components of the questionnaire. Regression analysis was performed to examine differences between groups.

Results: In 17 Dutch midwifery practices, 941 pregnant women and their partners (response rate 79%) completed the 59-item QUOTE(prenatal) previsit and postvisit, measuring preferences and perceived performances, respectively. A principal component analysis revealed three counseling components: client-midwife relation, health education and decision-making support. Reponses showed that, previsit, most clients consider the client-midwife relationship and health education to be (very) important. One third of the clients consider decision-making support to be (very) important. Nulliparae had higher preferences for health education and decision-making support than multiparae.

Conclusion: Clients perceive that their midwives perform well in building the client-midwife relationship and in giving health education. Improvement is needed in decision-making support.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Congenital Abnormalities / diagnosis
  • Decision Making
  • Female
  • Genetic Counseling / psychology*
  • Health Education
  • Humans
  • Male
  • Midwifery / statistics & numerical data*
  • Patient Preference / psychology
  • Patient Preference / statistics & numerical data*
  • Pregnancy
  • Quality of Health Care*
  • Young Adult