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1.
Midwifery ; 26(6): 622-9, 2010 Dec.
Article in English | MEDLINE | ID: mdl-19211177

ABSTRACT

BACKGROUND: postnatal depression (PND) is a major public health problem. The objective of this study was to improve early PND screening by midwives in a maternity unit. Professional screening techniques were evaluated and compared with reference screening techniques [Edinburgh Postnatal Depression Scale (EPDS), Mini International Neuropsychiatric Interview (MINI-DSM-IV)]. METHODS: the evaluation took place before and after the midwife training in order to determine the effectiveness of specific clinical recommendations for two successive 10-week inclusion periods (from November 2004 to September 2005). A short training course and posters were used to convey the recommendations, agreed by obstetricians, paediatricians and psychiatrists. RESULTS: a total of 463 postpartum women were included in the two phases of the study. Quantitative and qualitative PND screening by midwives improved significantly following training (Z=2.07, p=0.04; Z=2.62, p=0.008, respectively). Early detection of major depressive episodes increased by 37.7% (95% confidence interval 25.7-49.7) following training. A combination of midwives' perception of poor emotional well-being and the EPDS led to a significant improvement in early detection of PND (Q=8.00, p=0.04). DISCUSSION: targeted recommendations given to the midwives led to an improvement in the early detection of PND. Suitable programmes need to be offered to reduce the number of cases of PND. Perinatal psychiatrists should be seen to be meticulous and available for such prevention action.


Subject(s)
Depression, Postpartum/nursing , Education, Nursing, Continuing/methods , Mass Screening/methods , Midwifery/education , Nurse's Role , Quality Improvement/organization & administration , Adult , Depression, Postpartum/prevention & control , Female , France , Health Knowledge, Attitudes, Practice , Humans , Midwifery/methods , Postpartum Period/psychology , Psychometrics , Quality of Health Care , Risk Assessment , Young Adult
2.
J Affect Disord ; 93(1-3): 169-76, 2006 Jul.
Article in English | MEDLINE | ID: mdl-16644021

ABSTRACT

BACKGROUND: Postnatal depression is a major public health problem. The aim of this study is to validate the use of the Edinburgh Postnatal Depression Scale (EPDS) in the early postpartum, and to identify the markers for risk of postnatal depression. METHODS: 815 women filled out an EPDS and general information questionnaire between the third and the fifth day postpartum. The women with an EPDS score of >8 and a randomized control group from those with scores of <8 were contacted 8 weeks postpartum. 363 women therefore had a structured diagnostic interview by telephone at 8 weeks postpartum (MINI-DSM-IV), without knowledge of their EPDS scores, to screen for a major or minor depressive episode. RESULTS: The sensitivity of EPDS was measured as 0.82 [0.78-0.86], with a positivity threshold of 9.5/30. For an estimated prevalence for all depressive episodes of 16.1%, the positive predictive value of EPDS was measured as 42.8% [39.1-46.5%]. Multivariate risk analysis using logistical regression identified the following as risk markers for postnatal depression: previous history of depression (postnatal or other), unemployment, premature delivery or stopping breast-feeding in the first month for non-medical reasons. CONCLUSION: The use of EPDS between the third and fifth day postpartum is valid. An EPDS score of >10 should be completed by a clinical assessment and suitable management. The risk markers identified here are clinical indices that can be used for first-line early screening by non-psychiatric health workers.


Subject(s)
Depression, Postpartum/diagnosis , Depressive Disorder, Major/diagnosis , Personality Inventory/statistics & numerical data , Adolescent , Adult , Breast Feeding/psychology , Depression, Postpartum/psychology , Depressive Disorder, Major/psychology , Female , Humans , Obstetric Labor, Premature/psychology , Pregnancy , Psychometrics/statistics & numerical data , Recurrence , Reproducibility of Results , Risk Factors , Unemployment
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