جهت دسترسی به کاربرگه ی زیر، از این لینک استفاده کنید. http://dl.kums.ac.ir/handle/1893/12755
Title: Risk assessment and decision making about in-labour transfer from rural maternity care: a social judgment and signal detection analysis
Authors: NMAHP Research;NMAHP Research;University of Aberdeen;NHS Grampian;NHS Highland
Keywords: Decision making;Risk assessment;Rural;Labor;Maternity care;Social judgment theory;Signal detection theory;Childbirth
Publisher: BioMed Central Ltd
Description: Background: 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. Methods: The study was conducted in three stages. 1. 20 midwives and four obstetricians described factors influencing transfer decisions. 2. Vignettes depicting an intrapartum scenario were developed based on stage one data. 3. Vignettes were presented to 122 midwives and 12 obstetricians who were asked to assess the level of risk in each case and decide whether to transfer or not. Social judgment analysis was used to identify the factors and factor weights used in assessment. Signal detection analysis was used to identify participants' ability to distinguish high and low risk cases and personal decision thresholds. Results: When reviewing the same case information in vignettes midwives in different settings and obstetricians made very similar risk assessments. Despite this, a wide range of transfer decisions were still made, suggesting that the main source of variation in decision making and transfer rates is not in the assessment but the personal decision thresholds of clinicians. Conclusions: Currently health care practice focuses on supporting or improving decision making through skills training and clinical guidelines. However, these methods alone are unlikely to be effective in improving consistency of decision making.
URI: http://dl.kums.ac.ir/handle/1893/12755
Standard no: http://hdl.handle.net/1893/12755
http://dx.doi.org/10.1186/1472-6947-12-122
000313046400001
Appears in Collections:School of Health Sciences

Files in This Item:
Click on the URI links for accessing contents.


تمامی کاربرگه ها در کتابخانه ی دیجیتال حنان به صورت کامل محافظت می شوند.