{"title":"Regulations of ChatGPT use in paper writing: Based on beliefs or practical inevitability?","authors":"Shigeki Matsubara, Daisuke Matsubara","doi":"10.1111/ajo.13913","DOIUrl":"10.1111/ajo.13913","url":null,"abstract":"","PeriodicalId":55429,"journal":{"name":"Australian & New Zealand Journal of Obstetrics & Gynaecology","volume":"65 3","pages":"424-425"},"PeriodicalIF":1.7,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142775067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tolerance, decision-making processes and medication trials in pregnancy","authors":"Hinpetch Daungsupawong, Viroj Wiwanitkit","doi":"10.1111/ajo.13901","DOIUrl":"10.1111/ajo.13901","url":null,"abstract":"","PeriodicalId":55429,"journal":{"name":"Australian & New Zealand Journal of Obstetrics & Gynaecology","volume":"65 3","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142775083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jelle Hendrik Baalman, Thomas Bergholt, Ana Pilar Betran Lazaga, Alexandre Dumont, Tiziana Frusca, Richard Greene, Justina Kacerauskiene, Joerg Kessler, Declan Keane, Per Kempe, Lars Ladfors, Frank Louwen, Lubna Hassan, Miha Lucovnik, Gianpaolo Maso, Monica Piccoli, Oriol Porta Roda, Michael Robson, Alexander K. Smárason, Maria Regina Torloni, Austin Ugwumadu
<p>Childbirth is under scrutiny globally. In recent years in some countries there has been significant dissatisfaction with the quality and safety of care afforded to relatively low risk women with a single cephalic pregnancy.<span><sup>1, 2</sup></span> Simultaneously there has been an increase in maternity enquiries investigating clinical practices with concerning findings.<span><sup>3-5</sup></span></p><p>Improving childbirth, in particular safety, is the responsibility of governments, professional specialist societies and individual health professionals. A cohesive strategy needs to be developed involving women and their families in all aspects of their care. The strategy needs to address areas where improvements are needed, considering the resources available, expectations and cultural contexts.</p><p>One of the challenges in modern maternity service delivery is the existence of different philosophies of care between mothers, between healthcare professionals, and between mothers and healthcare professionals. This is due to previous biases which are propagated by confusing evidence. Clear goals in childbirth need to be identified and agreed.</p><p>Evidence based information is often presented in a complicated scientific manner and currently relies either on randomised controlled trials or retrospective observational studies both of which are not always helpful to mothers or indeed clinicians.<span><sup>6, 7</sup></span> Consequently, mothers find it difficult to decide on how to use their autonomy appropriately and make the best choices. Much of the information available is either not relevant or not available to them in a simple and understandable manner. Likewise, clinicians struggle to give advice when they themselves do not understand the information. This confusion then continues in relation to accountability and responsibility when mothers choose a certain type of care.</p><p>Attempts to improve care have been implemented with varying degrees of success and these need to continue. Most improvements have been related to changing processes and less effort has been directed toward improving the routine analysis of results (events and outcomes). In contrast most creditable organisations invest significantly in the collection of routine information for quality assurance.</p><p>The first measure of safety, quality and consistency in any birthing unit is knowing what your results are and this depends on routine data collection. The second measure of safety, quality and consistency is the ability to understand the results, how they interact with each other and how to use them to compare practice with other birthing units and within the same birthing unit over time. This is the purpose of classification, converting data to useful knowledge which can be used to improve quality of care.</p><p>It is therefore hard to understand why for childbirth it is at best difficult and at worst impossible to organise measurement of care on a routine basis. Thi
{"title":"Prospective Structured Perinatal Audit and the Ten Group Classification System: Essential for understanding and improving childbirth","authors":"Jelle Hendrik Baalman, Thomas Bergholt, Ana Pilar Betran Lazaga, Alexandre Dumont, Tiziana Frusca, Richard Greene, Justina Kacerauskiene, Joerg Kessler, Declan Keane, Per Kempe, Lars Ladfors, Frank Louwen, Lubna Hassan, Miha Lucovnik, Gianpaolo Maso, Monica Piccoli, Oriol Porta Roda, Michael Robson, Alexander K. Smárason, Maria Regina Torloni, Austin Ugwumadu","doi":"10.1111/ajo.13893","DOIUrl":"10.1111/ajo.13893","url":null,"abstract":"<p>Childbirth is under scrutiny globally. In recent years in some countries there has been significant dissatisfaction with the quality and safety of care afforded to relatively low risk women with a single cephalic pregnancy.<span><sup>1, 2</sup></span> Simultaneously there has been an increase in maternity enquiries investigating clinical practices with concerning findings.<span><sup>3-5</sup></span></p><p>Improving childbirth, in particular safety, is the responsibility of governments, professional specialist societies and individual health professionals. A cohesive strategy needs to be developed involving women and their families in all aspects of their care. The strategy needs to address areas where improvements are needed, considering the resources available, expectations and cultural contexts.</p><p>One of the challenges in modern maternity service delivery is the existence of different philosophies of care between mothers, between healthcare professionals, and between mothers and healthcare professionals. This is due to previous biases which are propagated by confusing evidence. Clear goals in childbirth need to be identified and agreed.</p><p>Evidence based information is often presented in a complicated scientific manner and currently relies either on randomised controlled trials or retrospective observational studies both of which are not always helpful to mothers or indeed clinicians.<span><sup>6, 7</sup></span> Consequently, mothers find it difficult to decide on how to use their autonomy appropriately and make the best choices. Much of the information available is either not relevant or not available to them in a simple and understandable manner. Likewise, clinicians struggle to give advice when they themselves do not understand the information. This confusion then continues in relation to accountability and responsibility when mothers choose a certain type of care.</p><p>Attempts to improve care have been implemented with varying degrees of success and these need to continue. Most improvements have been related to changing processes and less effort has been directed toward improving the routine analysis of results (events and outcomes). In contrast most creditable organisations invest significantly in the collection of routine information for quality assurance.</p><p>The first measure of safety, quality and consistency in any birthing unit is knowing what your results are and this depends on routine data collection. The second measure of safety, quality and consistency is the ability to understand the results, how they interact with each other and how to use them to compare practice with other birthing units and within the same birthing unit over time. This is the purpose of classification, converting data to useful knowledge which can be used to improve quality of care.</p><p>It is therefore hard to understand why for childbirth it is at best difficult and at worst impossible to organise measurement of care on a routine basis. Thi","PeriodicalId":55429,"journal":{"name":"Australian & New Zealand Journal of Obstetrics & Gynaecology","volume":"65 1","pages":"9-12"},"PeriodicalIF":1.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ajo.13893","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142775060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}