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Examines the environmental changes and human influence at coastal Lake Teza, KwaZulu-Natal in South Africa. Results of pollen analysis and dating of a sediment core from the lake; Increased sedimentation rates in the lake basin; Effect of human activities on the lake; Deterioration of the quality of the Lake Teza and other coastal lakes in central to northern KwaZulu-Natal.

Abstract Background Comparisons of birth outcomes between Australian Indigenous and non-Indigenous populations show marked inequalities. These comparisons obscure Indigenous disparities. There is much variation in terms of culture, language, residence, and access to services amongst Australian Indigenous peoples. We examined outcomes by region and remoteness for Indigenous subgroups and explored data for communities to inform health service delivery and interventions. Methods Our population-based study examined maternal and neonatal outcomes for 7,560 mothers with singleton pregnancies from Australia’s Northern Territory Midwives’ Data Collection (2003–2005) using uni- and multivariate analyses. Groupings were by Indigenous status; region (Top End (TE)/Central Australia (CA)); Remote/Urban residence; and across two large TE communities. Results Of the sample, 34.1% were Indigenous women, of whom 65.6% were remote-dwelling versus 6.7% of non-Indigenous women. In comparison to CA Urban mothers: TE Remote (adjusted odds ratio [aOR] 1.47, 95%CI: 1.13, 1.90) and TE Urban mothers (aOR 1.36 (95% CI: 1.02, 1.80) were more likely, but CA Remote mothers (aOR 0.43; 95% CI: 0.31, 0.58) less likely to smoke during pregnancy; CA Remote mothers giving birth at >32 weeks gestation were less likely to have attended ≥ five antenatal visits (aOR 0.55; 95%CI: 0.36, 0.86); TE Remote (aOR 0.71; 95%CI: 0.53, 0.95) and CA Remote women (aOR 0.68; 95%CI: 0.49, 0.95) who experienced labour had lower odds of epidural/spinal/narcotic pain relief; and TE Remote (aOR 0.47; 95%CI: 0.34, 0.66), TE Urban (aOR 0.67; 95%CI: 0.46, 0.96) and CA Remote mothers (aOR 0.52; 95%CI: 0.35, 0.76) all had lower odds of having a ‘normal’ birth. The aOR for preterm birth for TE Remote newborns was 2.09 (95%CI: 1.20, 3.64) and they weighed 137 g (95%CI: -216 g, -59 g) less than CA Urban babies. There were few significant differences for communities, except for smoking prevalence. Conclusions This paper is one of few quantifying inequalities between groups of Australian Indigenous women and newborns at a regional level. Indigenous mothers and newborns do worse on some outcomes if they live remotely, especially if they live in the TE. Smoking prevention and high-quality antenatal care is fundamental to addressing many of the adverse outcomes identified in this paper.

Bangladesh is repeatedly threatened by tropical storms and cyclones, exposing one-third of the total population of the country. As a preparedness measure, several cyclone shelters have been constructed, yet a large proportion of the coastal population, especially women, are unwilling to use them. Existing studies have demonstrated a range of concerns that discourage women from evacuating and have explored the limitations of the shelters, but the experiences of female evacuees have not been apparent in these stories. This study explores the lived-experiences of women in the cyclone shelters of Bangladesh and discusses their health and well-being as evacuees in the shelters. Nineteen women from three extremely vulnerable districts of coastal Bangladesh were interviewed. Seven research themes were identified from the participants' narratives using van Manen's thematic analysis process. The most salient theme, being understood (as a woman), portrayed the quintessential image of these women, which subsequently influenced their vulnerability as evacuees. The next themes-being a woman during crisis, being in a hostile situation, being fearful, being uncertain, being faithful, and being against the odds-focused on the incidents they lived through which affected their physical and mental health and the emotions they felt as evacuees. The paper offers a deep inquiry into women's experiences of well-being in the shelters and recognizes the significance of women's voices to improve their experiences as evacuees.

We investigated whether an Information and Communication Technology (ICT) application (app) motivated to increase adherence to lifestyle changes, and to improve indicators of metabolic disturbances among Japanese civil servants. A non-randomized, open-label, parallel-group study was conducted with 102 participants aged 20-65 years undergoing a health check during 2016-2017, having overweight and/or elevated glucose concentration. Among them, 63 participants chose Specific Health Guidance (SHG) and ongoing support incorporating the use of an app (ICT group) and 39 individuals chose only SHG (control group). Fifty from the ICT group and 38 from the control group completed the study. After completing the 6-month program, the control group showed a significant decrease in body mass index ( p = 0.008), male waist circumference ( p < 0.001), systolic blood pressure (BP) ( p = 0.005), diastolic BP ( p < 0.001), and glycated hemoglobin (HbA1c) ( p < 0.001), and increase in high-density lipoprotein (HDL) cholesterol ( p = 0.008). However, the ICT group showed a significant decrease in male waist circumference ( p < 0.001), diastolic BP ( p = 0.003), and HbA1c ( p < 0.001), and increase in HDL cholesterol ( p = 0.032). The magnitude of change for most indicators tended to be highest for ICT participants (used the app ≥5 times/month). Both groups reported raised awareness on BP and weight. The app use program did not have a major impact after the observation period. Proper action requires frequent use of the app to enhance best results.

IntroductionMass gatherings are common in Australia. The interplay of variables, including crowd density and behavior, weather, and the consumption of alcohol and other drugs, can pose a unique set of challenges to attendees' well-being. On-site health services are available at most mass gatherings and reduce the strain on community health facilities. In order to efficiently plan and manage these services, it is important to be able to predict the number and type of presenting problems at mass gatherings.ProblemThere is a lack of reliable tools to predict patient presentations at mass gatherings. While a number of factors have been identified as having an influence on attendees' health, the exact contribution of these variables to patient load is poorly understood. Furthermore, predicting patient load at mass gatherings is an inherently nonlinear problem, due to the nonlinear relationships previously observed between patient presentations and many event characteristics., Methods: Data were collected at 216 Australian mass gatherings and included event type, crowd demographics, and weather. Nonlinear models were constructed using regression trees. The full data set was used to construct each model and the model was then used to predict the response variable for each event. Nine-fold cross validation was used to estimate the error that may be expected when applying the model in practice., Results: The mean training errors for total patient presentations were very high; however, the distribution of errors per event was highly skewed, with small errors for the majority of events and a few large errors for a small number of events with a high number of presentations. The error was five or less for 40% of events and 15 or less for 85% of events. The median error was 6.9 presentations per event., Conclusion: This study built on previous research by undertaking nonlinear modeling, which provides a more realistic representation of the interactions between event variables. The developed models were less useful for predicting patient presentation numbers for very large events; however, they were generally useful for more typical, smaller scale community events. Further research is required to confirm this conclusion and develop models suitable for very large international events.Arbon P, Bottema M, Zeitz K, Lund A, Turris S, Anikeeva O, Steenkamp M. Nonlinear modelling for predicting patient presentation rates for mass gatherings. Prehosp Disaster Med. 2018;33(4):362-367.

IntroductionMass gatherings are complex events that present a unique set of challenges to attendees' health and well-being. There are numerous factors that influence the number and type of injuries and illnesses that occur at these events, including weather, event and venue type, and crowd demographics and behavior.ProblemWhile the impact of some factors, such as weather conditions and the availability of alcohol, on patient presentations at mass gatherings have been described previously, the influence of many other variables, including crowd demographics, crowd behavior, and event type, is poorly understood. Furthermore, a large number of studies reporting on the influence of these variables on patient presentations are based on anecdotal evidence at a single mass-gathering event., Methods: Data were collected by trained fieldworkers at 15 mass gatherings in South Australia and included event characteristics, crowd demographics, and weather. De-identified patient records were obtained from on-site health care providers. Data analysis included the calculation of patient proportions in each variable category, as well as the total number of patient presentations per event and the patient presentation rate (PPR)., Results: The total number of expected attendees at the 15 mass gatherings was 303,500, of which 146 presented to on-site health care services. The majority of patient presentations occurred at events with a mean temperature between 20°C and 25°C. The PPR was more than double at events with a predominantly male crowd compared to events with a more equal sex distribution. Almost 90.0% of patient presentations occurred at events where alcohol was available., Conclusion: The results of the study suggest that several weather, crowd, and event variables influence the type and number of patient presentations observed at mass-gathering events. Given that the study sample size did not allow for these interactions to be quantified, further research is warranted to investigate the relationships between alcohol availability, crowd demographics, crowd mobility, venue design, and injuries and illnesses.Anikeeva O, Arbon P, Zeitz K, Bottema M, Lund A, Turris S, Steenkamp M. Patient presentation trends at 15 mass-gathering events in South Australia. Prehosp Disaster Med. 2018;33(4):368-374.

Using roof harvested rainwater held in domestic rainwater tanks is a common practice in Australia, particularly in rural areas. This rainwater might become contaminated with ash and other contaminants during or after a bushfire. Current advice from Australian Health Departments can include the recommendation that landholders drain their tanks after a bushfire, which can cause additional distress to landholders who have already been through a traumatic event. This study created artificially contaminated water, spiked with chemicals likely to be associated with bushfires, including chromated copper arsenate-treated timber ash and firefighting foam to determine the possibility of contamination. The authors also tested two readily available filter systems and found that they removed some but not all contaminants. The artificially created contaminated water fell within guidelines for nonpotable uses such as irrigation and stock watering. This suggests that advice to landholders should be that tank water following a bushfire is likely to be safe for use for purposes apart from drinking. Landholders should be encouraged to retain and use their water for recovery purposes, but not for potable use.

Background: The teenage pregnancy rate is high among Indigenous Australian women, yet little is known about their pregnancy outcomes. Moreover, against a background of extreme social disadvantage, the relative importance of age as a risk factor for adverse outcomes among Indigenous pregnancies is unclear. We compared perinatal outcomes for Indigenous teenagers (<20 years) with adult Indigenous women (20-34 years), and described outcomes in subgroups of teenagers., Methods: Data were analyzed for 2421 singleton births to Indigenous women aged <35 years in Australia's Northern Territory from 2003 to 2005. Regression was used to assess the effect of young maternal age on normal birth, healthy baby, preterm birth, low birthweight, special care admission, and mean birthweight, adjusting for covariates., Results: Three-quarters of teenagers and 62% of adult mothers lived in remote areas. Smoking rates were around 50% in both groups. Teenagers were more likely to have a normal birth than adults (adjusted odds ratio 1.78 [95% CI 1.35-2.34]). The groups did not differ for healthy baby, preterm birth, or low birthweight. Babies of teenagers weighed 135 g less than those of adults; however, adjustment for covariates eliminated this difference. Examination of teenage subgroups (≤16 years and 17-19 years) revealed risk behaviors being higher for 17-19 years olds than for the younger group, and more prevalent among urban-based mothers., Discussion: Young maternal age is not a risk factor for adverse perinatal outcomes among Indigenous women. Rather, they are having babies in disadvantaged circumstances within a system challenged to support them socially and clinically., (© 2017 Wiley Periodicals, Inc.)

Background: Pelvic organ prolapse (POP) is a major reproductive health problem in Nepal, though many women delay seeking treatment. To address this, the Nepalese government has been providing free vaginal hysterectomies with pelvic floor repair to women in mobile surgical camps. Studies exploring factors that enable women to attend these camp settings are limited. This study aimed to identify factors that affected women seeking surgical treatment for POP at mobile surgical camps., Methods: The study used a qualitative approach. Twenty-one women with POP were recruited in two week-long mobile surgical camps held in two remote districts in Nepal during April and May 2013. Data were collected from individual face-to-face interviews and were analysed thematically., Results: Three themes and six subthemes emerged from the analysis. The first theme, "health-system factors", suggests that accessibility and affordability of the treatment, and the supportive role of female community health volunteers facilitate women to seek treatment in the camp. The second theme, "factors related to sociocultural norms", reveals that reaching the end of reproductive years and approval by relevant influential family members empowers women to take up surgical treatment in the mobile surgical camp. Similarly, the third theme, "individual-level factors", includes women's experience of POP, such as worsening symptoms and fear of development of cancer, as factors enabling women to seek treatment., Conclusion: Enablers to seeking treatment at mobile surgical camps for women are related to the Nepalese health system, sociocultural norms and individual experiences of women. Each of these factors should be considered when conducting mobile surgical camps, if women's uptake of treatment is to be enhanced.

Introduction The science underpinning mass-gathering health (MGH) is developing rapidly. However, MGH terminology and concepts are not yet well defined or used consistently. These variations can complicate comparisons across settings. There is, therefore, a need to develop consensus and standardize concepts and data points to support the development of a robust MGH evidence-base for governments, event planners, responders, and researchers. This project explored the views and sought consensus of international MGH experts on previously published concepts around MGH to inform the development of a transnational minimum data set (MDS) with an accompanying data dictionary (DD). Report A two-round Delphi process was undertaken involving volunteers from the World Health Organization (WHO) Virtual Interdisciplinary Advisory Group (VIAG) on Mass Gatherings (MGs) and the MG section of the World Association for Disaster and Emergency Medicine (WADEM). The first online survey tested agreement on six key concepts: (1) using the term "MG HEALTH;" (2) purposes of the proposed MDS and DD; (3) event phases; (4) two MG population models; (5) a MGH conceptual diagram; and (6) a data matrix for organizing MGH data elements. Consensus was defined as ≥80% agreement. Round 2 presented five refined MGH principles based on Round 1 input that was analyzed using descriptive statistics and content analysis. Thirty-eight participants started Round 1 with 36 completing the survey and 24 (65% of 36) completing Round 2. Agreement was reached on: the term "MGH" (n=35/38; 92%); the stated purposes for the MDS (n=38/38; 100%); the two MG population models (n=31/36; 86% and n=30/36; 83%, respectively); and the event phases (n=34/36; 94%). Consensus was not achieved on the overall conceptual MGH diagram (n=25/37; 67%) and the proposed matrix to organize data elements (n=28/37; 77%). In Round 2, agreement was reached on all the proposed principles and revisions, except on the MGH diagram (n=18/24; 75%). Discussion/Conclusions Event health stakeholders require sound data upon which to build a robust MGH evidence-base. The move towards standardization of data points and/or reporting items of interest will strengthen the development of such an evidence-base from which governments, researchers, clinicians, and event planners could benefit. There is substantial agreement on some broad concepts underlying MGH amongst an international group of MG experts. Refinement is needed regarding an overall conceptual diagram and proposed matrix for organizing data elements. Steenkamp M , Hutton AE , Ranse JC , Lund A , Turris SA , Bowles R , Arbuthnott K , Arbon PA . Exploring international views on key concepts for mass-gathering health through a Delphi process. Prehosp Disaster Med. 2016;31(4):443-453.

Disasters occur frequently in Australia and will become more unpredictable and severe due to climate change. Some members of the Australian population, such as the elderly, the chronically ill and the socially isolated, are less likely to be prepared and more likely to be adversely affected by disasters. Although general practitioners (GPs) view the delivery of preventive health care as a priority, few preventive services focus on patients' resilience and ability to cope with unexpected stressors. This paper focuses on the individuals most vulnerable to disasters and the opportunities for GPs to facilitate the enhancement of disaster preparedness among these groups. General practitioners are ideally placed to identify vulnerable patients and refer them to services that may assist them in enhancing their disaster resilience. To reduce the burden on individual GPs, adjustments can be made to practice software systems that will use patient records to identify vulnerable individuals.

Mass gatherings (MGs) occur worldwide on any given day, yet mass-gathering health (MGH) is a relatively new field of scientific inquiry. As the science underpinning the study of MGH continues to develop, there will be increasing opportunities to improve health and safety of those attending events. The emerging body of MG literature demonstrates considerable variation in the collection and reporting of data. This complicates comparison across settings and limits the value and utility of these reported data. Standardization of data points and/or reporting in relation to events would aid in creating a robust evidence base from which governments, researchers, clinicians, and event planners could benefit. Moving towards international consensus on any topic is a complex undertaking. This report describes a collaborative initiative to develop consensus on key concepts and data definitions for a MGH "Minimum Data Set." This report makes transparent the process undertaken, demonstrates a pragmatic way of managing international collaboration, and proposes a number of steps for progressing international consensus. The process included correspondence through a journal, face-to-face meetings at a conference, then a four-day working meeting; virtual meetings over a two-year period supported by online project management tools; consultation with an international group of MGH researchers via an online Delphi process; and a workshop delivered at the 19thWorld Congress on Disaster and Emergency Medicine held in Cape Town, South Africa in April 2015. This resulted in an agreement by workshop participants that there is a need for international consensus on key concepts and data definitions.

Objective: to compare the quality of care before and after the introduction of the new Midwifery Group Practice., Design: a cohort study., Setting: the health centers (HCs) in two of the largest remote Aboriginal communities (population 2200-2600) in the Top End of the Northern Territory (NT), each located approximately 500km from Darwin. The third study site was the Royal Darwin Hospital (RDH) which provides tertiary care., Methods: a 2004-06 retrospective cohort (n=412 maternity cases) provided baseline data. A clinical redesign of maternity services occurring from 2009 onwards focused on increasing Continuity of Carer, Communication, Choice, Collaboration and Co-ordination of Care (5Cs). Data from a 2009-11 prospective cohort (n=310 maternity cases) were collected to evaluate the service redesign. Outcome measures included indicators on the quality of care delivery, adherence to recommended antenatal guidelines and maternal and neonatal health outcomes., Findings: statistically significant improvements were recorded in many areas reflecting improved access to, and quality of, care. For example: fewer women had <4 visits in pregnancy (14% versus 8%), a higher proportion of women had routine antenatal tests recorded (86% versus 97%) and improved screening rates for urine (82% versus 87%) and sexual tract infections (78% versus 93%). However, the treatment of conditions according to recommended guidelines worsened significantly in some areas; for example antibiotics prescribed for urine infections (86% versus 52%) and treatment for anaemia in pregnancy (77% versus 67%). High preterm (21% versus 20%), low birth weight (18% versus 20%) and PPH (29% versus 31%) rates did not change over time. The out of hospital birth rate remained high and unchanged in both cohorts (10% versus 10%)., Conclusion: this model addresses some of the disparities in care for remote-dwelling Aboriginal women. However, much work still needs to occur before maternity care and outcomes are equal to that of non-Aboriginal women. Targeted program interventions with stronger clinical governance frameworks to improve the quality of care are essential. A complete rethink of service delivery and engagement may deliver better results., (Copyright © 2016. Published by Elsevier Ltd.)

Background: The science underpinning the study of mass-gathering health (MGH) is developing rapidly. Current knowledge fails to adequately inform the understanding of the science of mass gatherings (MGs) because of the lack of theory development and adequate conceptual analysis. Defining populations of interest in the context of MGs is required to permit meaningful comparison and meta-analysis between events. Process A critique of existing definitions and descriptions of MGs was undertaken. Analyzing gaps in current knowledge, the authors sought to delineate the populations affected by MGs, employing a consensus approach to formulating a population model. The proposed conceptual model evolved through face-to-face group meetings, structured break out sessions, asynchronous collaboration, and virtual international meetings. Findings and Interpretation Reporting on the incidence of health conditions at specific MGs, and comparing those rates between and across events, requires a common understanding of the denominators, or the total populations in question. There are many, nested populations to consider within a MG, such as the population of patients, the population of medical services providers, the population of attendees/audience/participants, the crew, contractors, staff, and volunteers, as well as the population of the host community affected by, but not necessarily attending, the event. A pictorial representation of a basic population model was generated, followed by a more complex representation, capturing a global-health perspective, as well as academically- and operationally-relevant divisions in MG populations., Conclusions: Consistent definitions of MG populations will support more rigorous data collection. This, in turn, will support meta-analysis and pooling of data sources internationally, creating a foundation for risk assessment as well as illness and injury prediction modeling. Ultimately, more rigorous data collection will support methodology for evaluating health promotion, harm reduction, and clinical-response interventions at MGs. Delineating MG populations progresses the current body of knowledge of MGs and informs the understanding of the full scope of their health effects.

Background: Current knowledge about mass-gathering health (MGH) fails to adequately inform the understanding of mass gatherings (MGs) because of a relative lack of theory development and adequate conceptual analysis. This report describes the development of a series of event lenses that serve as a beginning "MG event model," complimenting the "MG population model" reported elsewhere., Methods: Existing descriptions of "MGs" were considered. Analyzing gaps in current knowledge, the authors sought to delineate the population of events being reported. Employing a consensus approach, the authors strove to capture the diversity, range, and scope of MG events, identifying common variables that might assist researchers in determining when events are similar and might be compared. Through face-to-face group meetings, structured breakout sessions, asynchronous collaboration, and virtual international meetings, a conceptual approach to classifying and describing events evolved in an iterative fashion. Findings Embedded within existing literature are a variety of approaches to event classification and description. Arising from these approaches, the authors discuss the interplay between event demographics, event dynamics, and event design. Specifically, the report details current understandings about event types, geography, scale, temporality, crowd dynamics, medical support, protective factors, and special hazards. A series of tables are presented to model the different analytic lenses that might be employed in understanding the context of MG events. Interpretation The development of an event model addresses a gap in the current body of knowledge vis a vis understanding and reporting the full scope of the health effects related to MGs. Consistent use of a consensus-based event model will support more rigorous data collection. This in turn will support meta-analysis, create a foundation for risk assessment, allow for the pooling of data for illness and injury prediction, and support methodology for evaluating health promotion, harm reduction, and clinical response interventions at MGs.

Background: Health services research is a well-articulated research methodology and can be a powerful vehicle to implement sustainable health service reform. This paper presents a summary of a five-year collaborative program between stakeholders and researchers that led to sustainable improvements in the maternity services for remote-dwelling Aboriginal women and their infants in the Top End (TE) of Australia., Methods: A mixed-methods health services research program of work was designed, using a participatory approach. The study area consisted of two large remote Aboriginal communities in the Top End of Australia and the hospital in the regional centre (RC) that provided birth and tertiary care for these communities. The stakeholders included consumers, midwives, doctors, nurses, Aboriginal Health Workers (AHW), managers, policy makers and support staff. Data were sourced from: hospital and health centre records; perinatal data sets and costing data sets; observations of maternal and infant health service delivery and parenting styles; formal and informal interviews with providers and women and focus groups. Studies examined: indicator sets that identify best care, the impact of quality of care and remoteness on health outcomes, discrepancies in the birth counts in a range of different data sets and ethnographic studies of 'out of hospital' or health centre birth and parenting. A new model of maternity care was introduced by the health service aiming to improve care following the findings of our research. Some of these improvements introduced during the five-year research program of research were evaluated., Results: Cost effective improvements were made to the acceptability, quality and outcomes of maternity care. However, our synthesis identified system-wide problems that still account for poor quality of infant services, specifically, unacceptable standards of infant care and parent support, no apparent relationship between volume and acuity of presentations and staff numbers with the required skills for providing care for infants, and an 'outpatient' model of care. Services were also characterised by absent Aboriginal leadership and inadequate coordination between remote and tertiary services that is essential to improve quality of care and reduce 'system-introduced' risk., Conclusion: Evidence-informed redesign of maternity services and delivery of care has improved clinical effectiveness and quality for women. However, more work is needed to address substandard care provided for infants and their parents.

Objective: to compare the cost-effectiveness of two models of service delivery: Midwifery Group Practice (MGP) and baseline cohort., Design: a retrospective and prospective cohort study., Setting: a regional hospital in Northern Territory (NT), Australia., Methods: baseline cohort included all Aboriginal mothers (n=412), and their infants (n=416), from two remote communities who gave birth between 2004 and 2006. The MGP cohort included all Aboriginal mothers (n=310), and their infants (n=315), from seven communities who gave birth between 2009 and 2011. The baseline cohort mothers and infant's medical records were retrospectively audited and the MGP cohort data were prospectively collected. All the direct costs, from the Department of Health (DH) perspective, occurred from the first antenatal presentation to six weeks post partum for mothers and up to 28 days post births for infants were included for analysis., Analysis: analysis was performed with SPSS 19.0 and Stata 12.1. Independent sample of t-tests and χ2 were conducted., Findings: women receiving MGP care had significantly more antenatal care, more ultrasounds, were more likely to be admitted to hospital antenatally, and had more postnatal care in town. The MGP cohort had significantly reduced average length of stay for infants admitted to Special Care Nursery (SCN). There was no significant difference between the two cohorts for major birth outcomes such as mode of birth, preterm birth rate and low birth weight. Costs savings (mean A$703) were found, although these were not statistically significant, for women and their infants receiving MGP care compared to the baseline cohort., Conclusions: for remote dwelling Aboriginal women of all risk who travelled to town for birth, MGP was likely to be cost effective, and women received better care and resulting in equivalent birth outcomes compared with the baseline maternity care., (Copyright © 2013 Elsevier Ltd. All rights reserved.)

To date, Australia has not had to respond to a nationwide catastrophic event. However, over the past decade, heat waves, bushfires, cyclones, and floods have significantly challenged Australia's disaster preparedness and the surge capacity of local and regional health systems. Given that disaster events are predicted to increase in impact and frequency, the health workforce needs to be prepared for and able to respond effectively to a disaster. To be effective, nurses must be clear regarding their role in a disaster and be able to articulate the value and relevance of this role to communities and the professionals they work with. Since almost all disasters will exert some impact on public health, it is expedient to prepare the public health nursing workforce within Australia. This paper highlights issues currently facing disaster nursing and focuses on the challenges for Australian public health nurses responding to and preparing for disasters within Australia. The paper specifically addresses public health nurses' awareness regarding their roles in disaster preparation and response, given their unique skills and central position in public health., (© 2014 Wiley Publishing Asia Pty Ltd.)

Clustering in perinatal data can violate assumptions of independence, an important consideration for data analysis. Few published studies report on the extent of repeat births in routinely collected Australian perinatal data and the implications thereof for analysis and interpretation. This paper reports on a case study that examined the extent and implications of clustering in the Northern Territory Midwives Collection (NTMC) for the period 2003-2005. Data were obtained on 7,741 individual mothers giving birth to 8,707 babies in public hospitals during 2003-2005. Clusters of multiple pregnancies and repeat births were identified and the design effects for birth weight of Aboriginal and non-Aboriginal newborns were calculated. Of the mothers, 46.1% were Aboriginal. Of these, 13.2% had repeat singleton births; 0.4% had multiple pregnancies, and 0.3% had both. Of non-Aboriginal mothers, 8.7% had repeat singleton births; 1.2% had multiple pregnancies; and 0.3% had both. The design effect was 1.07 for Aboriginal newborns and 1.04 for non-Aboriginal newborns. The design effects indicate that the correct variance accounting for clustering is 4-7% larger than the incorrect variance ignoring clustering when three consecutive years of NT data are considered and an intracluster correlation coefficient of 0.48 is assumed for birth weight between twin and non-twin siblings. Depending on the outcome of interest, the impact of clustering should be considered in multivariate analysis of perinatal data, especially when such analyses involve more than one year’s data, include large proportions of Aboriginal mothers and newborns, and groups with different rates of repeat births.

Background: Comorbidity in psychological disorders is common following exposure to a traumatic event. Relatively little is known about the manner in which changes in the symptoms of a given type of psychological disorder in the acute period following a trauma impact changes in symptoms of another disorder. This study investigated the relationship between changes in posttraumatic stress disorder (PTSD), depression, and anxiety symptoms in the first 12 weeks following sexual assault., Methods: Participants were 126 women who had been sexually assaulted in the previous 4 weeks., Results: Lower level mediation analyses revealed that changes in PTSD symptoms had a greater impact on changes in depression and anxiety than vice versa., Conclusions: The finding highlights the role of PTSD symptoms in influencing subsequent change in other psychological symptoms. These findings are discussed in the context of models detailing the trajectory of psychological disorders following trauma, and clinical implications are considered., (© 2012 Wiley Periodicals, Inc.)

Problem: In the Northern Territory, 64% of Indigenous births are to remote-dwelling mothers. Delivering high-quality health care in remote areas is challenging, but service improvements, informed by participative action research, are under way. Evaluation of these initiatives requires appropriate indicators. Few of the many existing maternal and infant health indicators are specifically framed for the remote context or exemplify an Indigenous consumer perspective. We aimed to identify an indicator framework with appropriate indicators to demonstrate improvements in health outcomes, determinants of health and health system performance for remote-dwelling mothers and infants from pregnancy to first birthday., Design: We reviewed existing indicators; invited input from experts; investigated existing administrative data collections and examined findings from a record audit, ethnographic work and the evaluation of the Darwin Midwifery Group Practice., Setting: Northern Territory., Process: About 660 potentially relevant indicators were identified. We adapted the Aboriginal and Torres Strait Islander Health Performance Framework and populated the resulting framework with chosen indicators. We chose the indicators best able to monitor the impact of changes to remote service delivery by eliminating duplicated or irrelevant indicators using expert opinion, triangulating data and identifying key issues for remote maternal and infant health service improvements., Lessons Learnt: We propose 31 indicators to monitor service delivery to remote-dwelling Indigenous mothers and infants. Our inclusive indicator framework covers the period from pregnancy to the first year of life and includes existing indicators, but also introduces novel ones. We also attempt to highlight an Indigenous consumer., (© 2012 The Authors. Australian Journal of Rural Health © National Rural Health Alliance Inc.)

Objective: To examine the accuracy of birth counts for two remote Aboriginal communities in the Top End of the Northern Territory., Methods: We compared livebirth counts from community birth records with birth registration numbers and perinatal counts., Results: For 2004-06, for Community 1, there were 204 recorded local livebirths, 190 birth registrations and 172 livebirths in perinatal data. In Community 2, the counts were 244, 222 and 208, respectively. The mean annual number of babies, indicating service requirements for babies and their mothers, ranged from 57 to 68 (depending on source) in Community 1, and from 69 to 81 in Community 2. Most differences were for births to Aboriginal mothers. Births to 'visitors' accounted for 16 births in Community 1 and 30 cases in Community 2., Conclusion: Birth registration and perinatal data apparently underestimate community birth counts at a local level. Mobility of Aboriginal women seems to partly explain this., Implications: The differences in birth counts have important implications for local planning in relation to demand on housing, health and education services. The number of births is also a critical data requirement for measuring infant health status, including mortality rates, with measures of disadvantage strongly influenced by the number of births. Aboriginal mobility is not a 'data problem', but an integral part of Aboriginal life that needs to be catered for in administrative data collections in the Northern Territory., (© 2012 The Authors. ANZJPH © 2012 Public Health Association of Australia.)

Objective: There are challenges in delivering maternal and infant health (MIH) care to remote Northern Territory (NT) communities. These include fragmented care with birthing in regional hospitals resulting in cultural and geographical dislocation for Aboriginal women. Many NT initiatives are aimed at improving care. Indicators for evaluating these for remote Aboriginal mothers and infants need to be clearer. We reviewed existing indicators to inform a set of pragmatic indicators for reporting improvement in remote MIH care., Methods: Scientific databases and grey literature (organisational websites and Google Scholar) were searched using the terms 'Aboriginal/maternal/infant/remote health/monitoring performance'. Key stakeholders identified omitted indicators sets. Relevant sets were reviewed and organised by indicator type, stage of patient journey, topic and theme., Results: Forty-two indicators sets were found. Seven focused on Aboriginal health, 23 on reproductive/maternal health, eight on child/infant health and four on other aspects, e.g. remote health. We identified more than 1,000 individual indicators. Of these, 656 were relevant for our purpose and were subsequently organised into 300 topics and 16 themes for antenatal, birth and postpartum, and infant care by indicator type., Conclusion: There are many measures for monitoring health care delivery to mothers and infants. Few are framed around remote MIH services, despite poorer health outcomes of remote mothers and infants and the specific challenges with providing care in this setting. Establishing relevant indicators is vital to support relevant data collection and the development of appropriate policy for remote Aboriginal maternal and infant care.

Background: Much controversy has been generated in recent times over the optimal target haemoglobin in chronic kidney disease patients receiving erythropoiesis-stimulating agent therapy. This has arisen from the paradoxical conclusions obtained from large retrospective or epidemiological studies versus interventional randomized controlled trials., Methods: Data from haemodialysis patients in the UK Renal Registry from 1999 to 2005 were analysed year by year for the relative risk of death at different haemoglobin concentrations, compared with a reference of 10-11 g/dl. The population size varied from 2291 in 1999 to 8209 in 2005. The data were analysed by chi-square tests, and a multivariate analysis was performed., Results: Across the years 1999 to 2005, there was a consistent relationship between the haemoglobin achieved and the risk of death (P < 0.0001). In 2005, the relative risk (RR) of death = 1.32 for a haemoglobin (Hb) of 9-10 g/dl; RR = 0.44 for Hb > 13 g/dl. The relationship between Hb and the RR of death is nevertheless remarkably consistent across the 7 years of study, with an S-shaped correlation (polynomial) between an Hb range of <9 g/dl and an Hb range of >13 g/dl (P < 0.0001). Multivariate analysis also showed age, time on dialysis and diabetes to be strongly predictive of death across all 7 years analysed (P < 0.0001 in all cases)., Conclusion: There is a significant relationship between achieved haemoglobin and mortality across the 7 years analysed, with no increase in risk seen with higher Hb levels.

Study Objective: There is little information about sexual violence cases treated in emergency departments (EDs). This study describes ED visits associated with sexual violence and considers the associated health care burden., Methods: A descriptive analysis was conducted using nationally representative data on nonfatal injury-related ED visits identified in the National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP) as sexual violence. To better understand these NEISS-AIP data, additional information about ED management of cases was collected, and additional information was collected from NEISS-AIP coders to determine the percentage of hospitals serving as designated examination facilities for sexual assault., Results: Of all assault visits to the ED, 4.2% were sexual assault related, which represents an estimated 143,647 ED visits for sexual assault in 2001 to 2002. The majority of sexual assault-related visits involved female and young patients. Nearly half of ED visits for sexual violence had missing perpetrator data. Additional data from hospitals revealed that in 77.8% of the 54 sexual assault cases, someone with specific training completed the examination, and the majority of the hospitals in this study serve as designated examination facilities for sexual assault., Conclusion: Given the dearth of national data on sexual violence cases presented at US EDs, the data presented in this article are useful to understand the impact of sexual violence on the health care system at a national level. More complete documentation of sexual assault-related cases in EDs is needed to get a better estimate of the problem in future studies.