Background: Taiwan has a high national caesarean rate coupled with a low vaginal birth after caesarean (VBAC) rate. Studies suggest that women do not receive sufficient information about birth choices after caesarean in Taiwan and shared decision making (SDM) is not an expectation. This pilot study aimed to test the feasibility of using a birth choices decision aid to improve women's opportunity for engagement in SDM about birth after cesarean.
Methods: A two-phase sequential mixed methods pilot study was conducted in a regional hospital in northern Taiwan. Phase I involved a randomized pre-test and post-test experimental design. Participants with one previous caesarean section (CS) were recruited at 14-24 weeks. A total of 65 women completed a baseline survey and were randomly allocated to either the intervention (birth choice decision aid booklet) or usual care (general maternal health booklet) group. A follow up survey at 37-38 weeks measured change in decisional conflict, knowledge, and birth mode preference. Birth outcomes and satisfaction were assessed one month after birth. Phase II consisted of postnatal interviews with women at one month after birth, to explore women's decision making experiences, using a constant comparative analytic technique and thematic analysis.
Results: Decisional conflict was relatively low at baseline for all women. Although there were reductions in decisional conflict at follow up, differences between groups were not statistically significant. Women's early preferences regarding mode of birth influenced their knowledge-seeking behaviors and expectations or intention for engaging in SDM during pregnancy. Improvements in knowledge for the decision aid group were larger than for the usual care group, although differences between groups were not statistically significant. Four themes related to key factors in decision making were clarity, safety and risk, consistency, and support.
Conclusion: A cultural shift is needed to align expectations and relationships towards SDM for birth in Taiwan. Simulation-based strategies and tailored communication skills should be explored to enhance skills in decision coaching for providers. Use of interactive multimedia technology may provide opportunities to increase engagement with tools and support women during decision consultations. Midwife-led continuity of care models may also be beneficial in empowering women to actively share decisions and achieve the birth that is best for them.
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http://dx.doi.org/10.1016/j.midw.2020.102920 | DOI Listing |
Updates Surg
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Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
Clinical risk prediction models are ubiquitous in many surgical domains. The traditional approach to develop these models involves the use of regression analysis. Machine learning algorithms are gaining in popularity as an alternative approach for prediction and classification problems.
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Department of Plastic, Reconstructive and Aesthetic Surgery, Faculty of Medicine, Altınbas University, Istanbul, Turkey.
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Br J Hosp Med (Lond)
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Department of Surgery & Cancer, Imperial College London, London, UK.
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Department of Electrical Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates.
Accurately identifying and discriminating between different brain states is a major emphasis of functional brain imaging research. Various machine learning techniques play an important role in this regard. However, when working with a small number of study participants, the lack of sufficient data and achieving meaningful classification results remain a challenge.
View Article and Find Full Text PDFJ Clin Med
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Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai 200072, China.
Trigeminal neuralgia (TN) is an excruciating neurological disorder characterized by intense, stimulus-induced, and transient facial stabbing pain. The classification of TN has changed as a result of new discoveries in the last decade regarding its symptomatology, pathogenesis, and management. Because different types of facial pain have different clinical therapy and neuroimaging interpretations, a precise diagnosis is essential.
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