Title |
Support and Assessment for Fall Emergency Referrals (SAFER 1) trial protocol. Computerised on-scene decision support for emergency ambulance staff to assess and plan care for older people who have fallen: evaluation of costs and benefits using a pragmatic cluster randomised trial
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Published in |
BMC Emergency Medicine, January 2010
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DOI | 10.1186/1471-227x-10-2 |
Pubmed ID | |
Authors |
Helen Snooks, Wai-Yee Cheung, Jacqueline Close, Jeremy Dale, Sarah Gaze, Ioan Humphreys, Ronan Lyons, Suzanne Mason, Yasmin Merali, Julie Peconi, Ceri Phillips, Judith Phillips, Stephen Roberts, Ian Russell, Antonio Sánchez, Mushtaq Wani, Bridget Wells, Richard Whitfield |
Abstract |
Many emergency ambulance calls are for older people who have fallen. As half of them are left at home, a community-based response may often be more appropriate than hospital attendance. The SAFER 1 trial will assess the costs and benefits of a new healthcare technology--hand-held computers with computerised clinical decision support (CCDS) software--to help paramedics decide who needs hospital attendance, and who can be safely left at home with referral to community falls services. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 3% |
United States | 3 | 2% |
Italy | 1 | <1% |
Canada | 1 | <1% |
Switzerland | 1 | <1% |
Unknown | 170 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 29 | 16% |
Student > Ph. D. Student | 27 | 15% |
Student > Master | 23 | 13% |
Student > Bachelor | 17 | 9% |
Other | 11 | 6% |
Other | 35 | 19% |
Unknown | 39 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 64 | 35% |
Nursing and Health Professions | 23 | 13% |
Social Sciences | 15 | 8% |
Psychology | 7 | 4% |
Economics, Econometrics and Finance | 6 | 3% |
Other | 20 | 11% |
Unknown | 46 | 25% |