Michael O Falster, Christine L Roberts, Jane Ford, Jonathan Morris, Ann Kinnear, Michael Nicholl
We aimed to develop a maternity hospital classification, using stable and easily available criteria, that would have wide application in maternity services research and allow comparison across state, national and international jurisdictions. A classification with 13 obstetric groupings (12 hospital groups and home births) was based on neonatal care capability, urban and rural location, annual average number of births and public/private hospital status. In a case study of early elective birth we demonstrate that neonatal morbidity differs according to the maternity hospital classification, and also that the 13 groups can be collapsed in ways that are pragmatic from a clinical and policy decision-making perspective, and are manageable for analysis.
{"title":"Development of a maternity hospital classification for use in perinatal research.","authors":"Michael O Falster, Christine L Roberts, Jane Ford, Jonathan Morris, Ann Kinnear, Michael Nicholl","doi":"10.1071/NB11026","DOIUrl":"https://doi.org/10.1071/NB11026","url":null,"abstract":"<p><p>We aimed to develop a maternity hospital classification, using stable and easily available criteria, that would have wide application in maternity services research and allow comparison across state, national and international jurisdictions. A classification with 13 obstetric groupings (12 hospital groups and home births) was based on neonatal care capability, urban and rural location, annual average number of births and public/private hospital status. In a case study of early elective birth we demonstrate that neonatal morbidity differs according to the maternity hospital classification, and also that the 13 groups can be collapsed in ways that are pragmatic from a clinical and policy decision-making perspective, and are manageable for analysis.</p>","PeriodicalId":29974,"journal":{"name":"NSW Public Health Bulletin","volume":"23 1-2","pages":"12-6"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1071/NB11026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30562841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The reporting of Aboriginal and Torres Strait Islander peoples on the NSW Admitted Patient Data Collection was ascertained using a stratified purposive sample of NSW public hospital patients in 2010. Information was collected by interviewing patients and compared with patient information obtained on admission. The study used the methods used in the national survey by the AIHW in 2007 and the study results were compared to the AIHW survey results. The level of correct reporting was 90.7% (95% CI 84.6-94.2). These results, while indicative, should be interpreted with caution as some people may not have identified themselves as Aboriginal or Torres Strait Islander either on hospital admission or in the survey, and non-random sampling can produce non-representative samples.
通过对 2010 年新南威尔士州公立医院病人进行分层有目的抽样调查,确定了新南威尔士州入院病人数据收集中关于土著居民和托雷斯海峡岛民的报告情况。通过采访病人收集信息,并与入院时获得的病人信息进行比较。该研究采用了 2007 年澳大利亚卫生福利研究院(AIHW)进行的全国调查所使用的方法,并将研究结果与 AIHW 的调查结果进行了比较。报告的正确率为 90.7%(95% CI 84.6-94.2)。这些结果虽然具有指示性,但在解释时应谨慎,因为有些人可能在入院时或在调查中都没有表明自己是土著居民或托雷斯海峡岛民,而且非随机抽样可能会产生不具代表性的样本。
{"title":"Reporting of Aboriginal and Torres Strait Islander peoples on the NSW Admitted Patient Data Collection: the 2010 data quality survey.","authors":"Jason P Bentley, Lee K Taylor, Peter G Brandt","doi":"10.1071/NB11034","DOIUrl":"10.1071/NB11034","url":null,"abstract":"<p><p>The reporting of Aboriginal and Torres Strait Islander peoples on the NSW Admitted Patient Data Collection was ascertained using a stratified purposive sample of NSW public hospital patients in 2010. Information was collected by interviewing patients and compared with patient information obtained on admission. The study used the methods used in the national survey by the AIHW in 2007 and the study results were compared to the AIHW survey results. The level of correct reporting was 90.7% (95% CI 84.6-94.2). These results, while indicative, should be interpreted with caution as some people may not have identified themselves as Aboriginal or Torres Strait Islander either on hospital admission or in the survey, and non-random sampling can produce non-representative samples.</p>","PeriodicalId":29974,"journal":{"name":"NSW Public Health Bulletin","volume":"23 1-2","pages":"17-20"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30562847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chris P Lowbridge, Sean Tobin, Holly Seale, Mark J Ferson
Unlabelled: Q fever is the most frequently notified zoonotic infection in NSW residents. The past decade has seen the introduction of a targeted national Q fever vaccination program.
Methods: We undertook a descriptive analysis of Q fever notifications in NSW, for the period 2001-2010.
Results: A total of 1912 cases of Q fever were notified in NSW between 2001 and 2010 (average 2.8 per 100 000 persons per annum). The majority of Q fever cases were reported in men, aged 40-59 years, living in rural NSW and working in agricultural related occupations.
Conclusion: The results suggest changes in the epidemiology of Q fever in response to the targeted vaccination program.
{"title":"EpiReview: notifications of Q fever in NSW, 2001-2010.","authors":"Chris P Lowbridge, Sean Tobin, Holly Seale, Mark J Ferson","doi":"10.1071/NB11037","DOIUrl":"https://doi.org/10.1071/NB11037","url":null,"abstract":"<p><strong>Unlabelled: </strong>Q fever is the most frequently notified zoonotic infection in NSW residents. The past decade has seen the introduction of a targeted national Q fever vaccination program.</p><p><strong>Methods: </strong>We undertook a descriptive analysis of Q fever notifications in NSW, for the period 2001-2010.</p><p><strong>Results: </strong>A total of 1912 cases of Q fever were notified in NSW between 2001 and 2010 (average 2.8 per 100 000 persons per annum). The majority of Q fever cases were reported in men, aged 40-59 years, living in rural NSW and working in agricultural related occupations.</p><p><strong>Conclusion: </strong>The results suggest changes in the epidemiology of Q fever in response to the targeted vaccination program.</p>","PeriodicalId":29974,"journal":{"name":"NSW Public Health Bulletin","volume":"23 1-2","pages":"31-5"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30562844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tore G H Liljeqvist, David Andresen, Yeqin Zuo, Clare Weston
Globally emerging antibiotic-resistant bacteria such as methicillin-resistant Staphylococcus aureus (MRSA) and extended spectrum beta-lactamase (ESBL)-producing Escherichia coli present increasing challenges to community transmission of infection. Recently, New Delhi metallo-beta-lactamase-1 (NDM-1) was identified; this enzyme makes bacteria resistant to most beta-lactam antibiotics which are used to treat antibiotic-resistant bacterial infections.
{"title":"Bug breakfast in the Bulletin: antimicrobial resistance: moving forward to the past.","authors":"Tore G H Liljeqvist, David Andresen, Yeqin Zuo, Clare Weston","doi":"10.1071/NB11043","DOIUrl":"https://doi.org/10.1071/NB11043","url":null,"abstract":"Globally emerging antibiotic-resistant bacteria such as methicillin-resistant Staphylococcus aureus (MRSA) and extended spectrum beta-lactamase (ESBL)-producing Escherichia coli present increasing challenges to community transmission of infection. Recently, New Delhi metallo-beta-lactamase-1 (NDM-1) was identified; this enzyme makes bacteria resistant to most beta-lactam antibiotics which are used to treat antibiotic-resistant bacterial infections.","PeriodicalId":29974,"journal":{"name":"NSW Public Health Bulletin","volume":"23 1-2","pages":"37"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30562848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aim: To describe the pattern of non-intentional farm-related fatalities in Australia for 2003-2006 and examine trends.
Methods: Data from the National Coroners Information System were analysed to define all non-intentional farm injury fatalities for the period.
Results: The incidence of farm fatalities has declined by 44% over the past 20 years from an average of 146 deaths per year to 82 deaths per year. For adults there are high numbers of fatalities related to tractors, quad bikes and farm utilities. Children aged under 15 years account for 17% of fatalities, with dams or other water bodies and quad bikes remaining the most common causes of non-intentional farm fatalities. Almost half of all on-farm non-intentional fatalities are non-work-related.
Conclusion: Future interventions targeting these priority areas are required to reduce the incidence of non-intentional farm-related fatalities within Australia.
{"title":"Non-intentional farm injury fatalities in Australia, 2003-2006.","authors":"Tony Lower, Emily Herde","doi":"10.1071/NB11002","DOIUrl":"https://doi.org/10.1071/NB11002","url":null,"abstract":"<p><strong>Aim: </strong>To describe the pattern of non-intentional farm-related fatalities in Australia for 2003-2006 and examine trends.</p><p><strong>Methods: </strong>Data from the National Coroners Information System were analysed to define all non-intentional farm injury fatalities for the period.</p><p><strong>Results: </strong>The incidence of farm fatalities has declined by 44% over the past 20 years from an average of 146 deaths per year to 82 deaths per year. For adults there are high numbers of fatalities related to tractors, quad bikes and farm utilities. Children aged under 15 years account for 17% of fatalities, with dams or other water bodies and quad bikes remaining the most common causes of non-intentional farm fatalities. Almost half of all on-farm non-intentional fatalities are non-work-related.</p><p><strong>Conclusion: </strong>Future interventions targeting these priority areas are required to reduce the incidence of non-intentional farm-related fatalities within Australia.</p>","PeriodicalId":29974,"journal":{"name":"NSW Public Health Bulletin","volume":"23 1-2","pages":"21-6"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1071/NB11002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30562842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Communicable diseases report, NSW, November and December 2011.","authors":"","doi":"10.1071/NB12064","DOIUrl":"https://doi.org/10.1071/NB12064","url":null,"abstract":"","PeriodicalId":29974,"journal":{"name":"NSW Public Health Bulletin","volume":"23 1-2","pages":"38-42"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30562850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health Statistics NSW is a new web-based application developed by the Centre for Epidemiology and Research at the NSW Ministry of Health. The application is designed to be an efficient vehicle for the timely delivery of health statistics to a diverse audience including the general public, health planners, researchers, students and policy analysts. The development and implementation of this web application required the consideration of a series of competing demands such as: the public interest in providing health data while maintaining the privacy interests of the individuals whose health is being reported; reporting data at spatial scales of relevance to health planners while maintaining the statistical integrity of any inferences drawn; the use of hardware and software systems which are publicly accessible, scalable and robust, while ensuring high levels of security. These three competing demands and the relationships between them are discussed in the context of Health Statistics NSW.
{"title":"Health Statistics NSW: getting the right balance between privacy and small numbers in a web-based reporting system.","authors":"James P Scandol, Helen A Moore","doi":"10.1071/NB11047","DOIUrl":"https://doi.org/10.1071/NB11047","url":null,"abstract":"<p><p>Health Statistics NSW is a new web-based application developed by the Centre for Epidemiology and Research at the NSW Ministry of Health. The application is designed to be an efficient vehicle for the timely delivery of health statistics to a diverse audience including the general public, health planners, researchers, students and policy analysts. The development and implementation of this web application required the consideration of a series of competing demands such as: the public interest in providing health data while maintaining the privacy interests of the individuals whose health is being reported; reporting data at spatial scales of relevance to health planners while maintaining the statistical integrity of any inferences drawn; the use of hardware and software systems which are publicly accessible, scalable and robust, while ensuring high levels of security. These three competing demands and the relationships between them are discussed in the context of Health Statistics NSW.</p>","PeriodicalId":29974,"journal":{"name":"NSW Public Health Bulletin","volume":"23 1-2","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30562839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aim: To examine the use of the Medicare Teen Dental Plan in NSW, its uptake in the private and public dental sectors and to map the geographical pattern of program use.
Methods: Data describing the use of the Medicare Teen Dental Plan were assembled from a variety of sources including Medicare, the NSW Oral Health Data Collection and the NSW Teen Dental Survey 2010.
Results: In 2010, use of the Medicare Teen Dental Plan across the entire NSW eligible aged population ranged from 20 to 25.5%, with the average usage across all ages being 20.2%. For the period 2002 to 2010, the average utilisation rate for teenagers accessing public dental care was approximately 6.8%.
Conclusion: As a single Dental Benefits Schedule item is used for service provided under the Plan, it is difficult to evaluate the mix of dental treatment items and the comparative value of the service provided unless these services are provided in a public dental service with a data collection that can flag care provided under a Medicare Teen Dental Plan voucher.
{"title":"Utilisation of the Medicare Teen Dental Plan in NSW, 2008-2010.","authors":"John C Skinner, Peter List, Clive Wright","doi":"10.1071/NB11048","DOIUrl":"https://doi.org/10.1071/NB11048","url":null,"abstract":"<p><strong>Aim: </strong>To examine the use of the Medicare Teen Dental Plan in NSW, its uptake in the private and public dental sectors and to map the geographical pattern of program use.</p><p><strong>Methods: </strong>Data describing the use of the Medicare Teen Dental Plan were assembled from a variety of sources including Medicare, the NSW Oral Health Data Collection and the NSW Teen Dental Survey 2010.</p><p><strong>Results: </strong>In 2010, use of the Medicare Teen Dental Plan across the entire NSW eligible aged population ranged from 20 to 25.5%, with the average usage across all ages being 20.2%. For the period 2002 to 2010, the average utilisation rate for teenagers accessing public dental care was approximately 6.8%.</p><p><strong>Conclusion: </strong>As a single Dental Benefits Schedule item is used for service provided under the Plan, it is difficult to evaluate the mix of dental treatment items and the comparative value of the service provided unless these services are provided in a public dental service with a data collection that can flag care provided under a Medicare Teen Dental Plan voucher.</p>","PeriodicalId":29974,"journal":{"name":"NSW Public Health Bulletin","volume":"23 1-2","pages":"5-11"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30562840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
What is meningococcal disease? Meningococcal disease is caused by the bacterium Neisseria meningitidis. The bacteria are transmitted from person to person through nasopharyngeal secretions. Close and prolonged contact is usually required for transmission. Most people carry the bacteria asymptomatically in the nose and throat. Disease occurs very rarely when bacteria invade the bloodstream. Meningococcal disease usually presents as meningitis, septicaemia, or a combination of the two, and is fatal in approximately 3% of cases. N. meningitidis can be classified into serogroups. Most meningococcal disease in Australia is caused by serogroup B; less common serogroups are C, A, W135 and Y.
{"title":"Bug breakfast in the Bulletin: meningococcal disease.","authors":"Erin Passmore, Robert Booy, Mark Ferson","doi":"10.1071/NB11052","DOIUrl":"https://doi.org/10.1071/NB11052","url":null,"abstract":"What is meningococcal disease? Meningococcal disease is caused by the bacterium Neisseria meningitidis. The bacteria are transmitted from person to person through nasopharyngeal secretions. Close and prolonged contact is usually required for transmission. Most people carry the bacteria asymptomatically in the nose and throat. Disease occurs very rarely when bacteria invade the bloodstream. Meningococcal disease usually presents as meningitis, septicaemia, or a combination of the two, and is fatal in approximately 3% of cases. N. meningitidis can be classified into serogroups. Most meningococcal disease in Australia is caused by serogroup B; less common serogroups are C, A, W135 and Y.","PeriodicalId":29974,"journal":{"name":"NSW Public Health Bulletin","volume":"23 1-2","pages":"36"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30562846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
For updated information, including data and facts on specific diseases, visit www.health.nsw.gov.au and click on Public Health and then Infectious Diseases. The communicable diseases site is available at: http://www.health.nsw.gov.au/publichealth/infectious/index.asp.
{"title":"Communicable Diseases Report, NSW, September and October 2011.","authors":"Communicable Diseases Branch","doi":"10.1071/NB11049","DOIUrl":"https://doi.org/10.1071/NB11049","url":null,"abstract":"For updated information, including data and facts on specific diseases, visit www.health.nsw.gov.au and click on Public Health and then Infectious Diseases. The communicable diseases site is available at: http://www.health.nsw.gov.au/publichealth/infectious/index.asp.","PeriodicalId":29974,"journal":{"name":"NSW Public Health Bulletin","volume":"22 11-12","pages":"238-43"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30384731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}