Title |
Models for Access to Maternal Smoking cessation Support (MAMSS): a study protocol of a quasi-experiment to increase the engagement of pregnant women who smoke in NHS Stop Smoking Services
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Published in |
BMC Public Health, October 2014
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DOI | 10.1186/1471-2458-14-1041 |
Pubmed ID | |
Authors |
Lorna Bennett, Aimee Grant, Siobhan Jones, Mererid Bowley, Christian Heathcote-Elliott, Catrin Ford, Angela Jones, Rachel Lewis, Margaret Munkley, Carol Owen, Annie Petherick, Shantini Paranjothy |
Abstract |
Maternal smoking is a key cause of poor outcomes for mothers, babies and children and Wales has higher rates of smoking in pregnancy than any other UK country. Despite various improvements within the NHS Stop Smoking Service to strengthen the intervention for pregnant women, referrals and successful quit attempts for this group have continued to remain extremely low. A key element of UK national guidance for smoking cessation during pregnancy is to provide a flexible and tailored service to help increase levels of engagement. This study aims to test the effectiveness of three different models of service delivery to address the gap in the evidence base about how to deliver a flexible, tailored smoking cessation service to pregnant women. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Canada | 1 | <1% |
Unknown | 106 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 16 | 15% |
Student > Master | 12 | 11% |
Student > Bachelor | 12 | 11% |
Student > Doctoral Student | 7 | 7% |
Student > Postgraduate | 5 | 5% |
Other | 15 | 14% |
Unknown | 40 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 24 | 22% |
Nursing and Health Professions | 19 | 18% |
Social Sciences | 8 | 7% |
Agricultural and Biological Sciences | 4 | 4% |
Business, Management and Accounting | 3 | 3% |
Other | 10 | 9% |
Unknown | 39 | 36% |