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Comparing the feasibility, acceptability, clinical-, and cost-effectiveness of mental health e-screening to paper-based screening on the detection of depression, anxiety, and psychosocial risk in…

Overview of attention for article published in Trials, January 2014
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Title
Comparing the feasibility, acceptability, clinical-, and cost-effectiveness of mental health e-screening to paper-based screening on the detection of depression, anxiety, and psychosocial risk in pregnant women: a study protocol of a randomized, parallel-group, superiority trial
Published in
Trials, January 2014
DOI 10.1186/1745-6215-15-3
Pubmed ID
Authors

Dawn Kingston, Sheila McDonald, Anne Biringer, Marie-Paule Austin, Kathy Hegadoren, Sarah McDonald, Rebecca Giallo, Arto Ohinmaa, Gerri Lasiuk, Glenda MacQueen, Wendy Sword, Marie Lane-Smith, Sander Veldhuyzen van Zanten

Abstract

Stress, depression, and anxiety affect 15% to 25% of pregnant women. However, substantial barriers to psychosocial assessment exist, resulting in less than 20% of prenatal care providers assessing and treating mental health problems. Moreover, pregnant women are often reluctant to disclose their mental health concerns to a healthcare provider. Identifying screening and assessment tools and procedures that are acceptable to both women and service providers, cost-effective, and clinically useful is needed.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Norway 1 <1%
Unknown 234 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 48 20%
Researcher 28 12%
Student > Ph. D. Student 23 10%
Student > Bachelor 23 10%
Student > Doctoral Student 14 6%
Other 39 17%
Unknown 61 26%
Readers by discipline Count As %
Psychology 58 25%
Medicine and Dentistry 53 22%
Nursing and Health Professions 25 11%
Agricultural and Biological Sciences 7 3%
Social Sciences 7 3%
Other 21 9%
Unknown 65 28%