Title |
Risk assessment and decision making about in-labour transfer from rural maternity care: a social judgment and signal detection analysis
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Published in |
BMC Medical Informatics and Decision Making, October 2012
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DOI | 10.1186/1472-6947-12-122 |
Pubmed ID | |
Authors |
Helen Cheyne, Len Dalgleish, Janet Tucker, Fiona Kane, Ashalatha Shetty, Sarah McLeod, Catherine Niven |
Abstract |
The importance of respecting women's wishes to give birth close to their local community is supported by policy in many developed countries. However, persistent concerns about the quality and safety of maternity care in rural communities have been expressed. Safe childbirth in rural communities depends on good risk assessment and decision making as to whether and when the transfer of a woman in labour to an obstetric led unit is required. This is a difficult decision. Wide variation in transfer rates between rural maternity units have been reported suggesting different decision making criteria may be involved; furthermore, rural midwives and family doctors report feeling isolated in making these decisions and that staff in urban centres do not understand the difficulties they face. In order to develop more evidence based decision making strategies greater understanding of the way in which maternity care providers currently make decisions is required. This study aimed to examine how midwives working in urban and rural settings and obstetricians make intrapartum transfer decisions, and describe sources of variation in decision making. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 2% |
Unknown | 117 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 18% |
Student > Master | 19 | 16% |
Researcher | 14 | 12% |
Professor > Associate Professor | 7 | 6% |
Student > Bachelor | 7 | 6% |
Other | 17 | 14% |
Unknown | 34 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 31 | 26% |
Medicine and Dentistry | 25 | 21% |
Psychology | 6 | 5% |
Social Sciences | 5 | 4% |
Agricultural and Biological Sciences | 2 | 2% |
Other | 13 | 11% |
Unknown | 37 | 31% |