Title |
Preventing mental health problems in children: the Families in Mind population-based cluster randomised controlled trial
|
---|---|
Published in |
BMC Public Health, June 2012
|
DOI | 10.1186/1471-2458-12-420 |
Pubmed ID | |
Authors |
Harriet Hiscock, Jordana K Bayer, Kate Lycett, Obioha C Ukoumunne, Daniel Shaw, Lisa Gold, Bibi Gerner, Amy Loughman, Melissa Wake |
Abstract |
Externalising and internalising problems affect one in seven school-aged children and are the single strongest predictor of mental health problems into early adolescence. As the burden of mental health problems persists globally, childhood prevention of mental health problems is paramount. Prevention can be offered to all children (universal) or to children at risk of developing mental health problems (targeted). The relative effectiveness and costs of a targeted only versus combined universal and targeted approach are unknown. This study aims to determine the effectiveness, costs and uptake of two approaches to early childhood prevention of mental health problems ie: a Combined universal-targeted approach, versus a Targeted only approach, in comparison to current primary care services (Usual care). |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 50% |
Singapore | 1 | 25% |
Canada | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Spain | 1 | <1% |
Unknown | 178 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 14% |
Researcher | 25 | 14% |
Student > Master | 21 | 12% |
Student > Doctoral Student | 19 | 11% |
Student > Bachelor | 13 | 7% |
Other | 31 | 17% |
Unknown | 45 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 40 | 22% |
Medicine and Dentistry | 26 | 14% |
Social Sciences | 22 | 12% |
Nursing and Health Professions | 19 | 11% |
Economics, Econometrics and Finance | 3 | 2% |
Other | 16 | 9% |
Unknown | 54 | 30% |