نتایج جستجو برای: perinatal loss

تعداد نتایج: 469802  

Journal: :The Medical journal of Australia 2002
Anne E Buist Bryanne E W Barnett Jeannette Milgrom Sherryl Pope John T Condon David A Ellwood Phillip M Boyce Marie-Paule V Austin Barbara A Hayes

Significant perinatal distress and depression affects 14% of women, producing short and long term consequences for the family. This suggests that measures for early detection are important, and non-identification of these women may exacerbate difficulties. Screening provides an opportunity to access large numbers of women and facilitate pathways to best-practice care. A valid, reliable, economi...

2011
Syuichi Tokunaga Hiroshi Sameshima Tsuyomu Ikenoue

OBJECTIVE Ecology model is useful to provide a framework for organizing medical care. We aimed to see if the ecology model is applicable to perinatal care in Japan. METHODS On a population-based approach, we had 53,461 deliveries in Miyazaki from 2001 to 2005. In comparison, we used all of the 106,613 deliveries in Tokyo in 2009. Women were divided into 4 grades by risk-allocation criteria an...

Journal: :Journal of epidemiology and community health 2005
Ruby H N Nguyen Allen J Wilcox

This is the second of a two part glossary of terms used in reproductive and perinatal epidemiology. The purpose is to provide a reference for terms that are widely (if not always consistently) used in this field. While a glossary cannot resolve all these problems, it provides a point of reference for understanding them. Part 1 covered terms relevant mostly to events and conditions before birth....

2012
Atif Rahman Siham Sikander Abid Malik Ikhlaque Ahmed Barbara Tomenson Francis Creed

BACKGROUND Poverty may moderate the effect of treatment of depression in low-income countries. AIMS To assess poverty and lack of empowerment as moderators of a cognitive-behavioural therapy (CBT)-based intervention for perinatal depression in rural Pakistan. METHOD Using secondary analysis of data from a randomised controlled trial (trial registration: ISRCTN65316374) we identified predict...

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