scholarly journals Enhancing Australian Mortality Data to Meet Future Health Information Demands

2022 ◽  
Vol 19 (1) ◽  
pp. 603
Author(s):  
James Eynstone-Hinkins ◽  
Lauren Moran
Keyword(s):  
Health Information ◽  
Cause Of Death ◽  
Research Policy ◽  
Mortality Data ◽  
Societal Change ◽  
Future Health ◽  
Automated Coding ◽  
Policy And Planning

The Australian mortality data are a foundational health dataset which supports research, policy and planning. The COVID-19 pandemic necessitated the need for more timely mortality data that could assist in monitoring direct mortality from the virus as well as indirect mortality due to social and economic societal change. This paper discusses the evolution of mortality data in Australia during the pandemic and looks at emerging opportunities associated with electronic infrastructure such as electronic Medical Certificates of Cause of Death (eMCCDs), ICD-11 and automated coding tools that will form the foundations of a more responsive and comprehensive future mortality dataset.

scholarly journals 96 Estimation of palliative care needs of people experiencing homelessness using mortality data and cause-of-death

2021 ◽  
Author(s):  
Aoibheann Conneely ◽  
Jo-Hanna Ivers ◽  
Joe Barry ◽  
Elaine Dunne ◽  
Norma O’Leary ◽  
...  
Keyword(s):  
Palliative Care ◽  
Cause Of Death ◽  
Mortality Data ◽  
Care Needs ◽  
Palliative Care Needs

Barriers, Enablers, and Consumer Design Ideas for Health Literacy Responsive Hospital Waiting Areas: A Framework Method Analysis

2021 ◽  
pp. 193758672110329
Author(s):  
Cassie E. McDonald ◽  
Louisa J. Remedios ◽  
Kate L. Cameron ◽  
Catherine M. Said ◽  
Catherine L. Granger
Keyword(s):  
Health Literacy ◽  
Health Information ◽  
Information Resources ◽  
Outpatient Rehabilitation ◽  
Personal Factors ◽  
Future Health ◽  
Barriers And Enablers ◽  
Accessibility Issues ◽  
Health Information Resources ◽  
Design Ideas

Aim: The study aim was to (1) investigate the barriers and enablers experienced by consumers to accessing and engaging with health tools in hospital waiting areas and (2) evaluate consumers’ ideas for designing a health literacy responsive waiting area. Background: Health information, resources, and supports (“health tools”) in waiting areas should be responsive to the health literacy needs of consumers. However, consumers’ experiences of using health tools and their ideas for improving them are not known. Methods: Multicenter study was set in hospital waiting areas of outpatient rehabilitation services. Semistructured in-person interviews were conducted with 33 adult consumers attending appointments for various health conditions. Seven stages of the Framework Method were used to analyze data. Results: Six themes were identified which explained barriers and enablers from the perspective of consumers. The barriers were accessibility issues; personal factors—physical condition, emotional state, and preferences; and poorly presented and outdated resources. The enablers were design suits consumer needs and preferences; usable in available time or portable; and compatible environment for engaging and sharing. Consumers shared design ideas which fit within four typologies. Conclusions: A range of barriers and enablers exist which have an impact on consumers’ ability to engage with available health information, resources, and supports in hospital outpatient waiting areas. Practical insights from the perspective of consumers can be applied to future health service design. Consumer’s design ideas suggest that partnerships with consumers should be formed to design health literacy responsive waiting areas.

scholarly journals Sudden cardiac death rates in an Australian population: a data linkage study

2015 ◽  
Vol 39 (5) ◽  
pp. 561 ◽  
Author(s):  
Jia-Li Feng ◽  
Siobhan Hickling ◽  
Lee Nedkoff ◽  
Matthew Knuiman ◽  
Christopher Semsarian ◽  
...  
Keyword(s):  
Public Health ◽  
Cardiovascular Disease ◽  
Heart Disease ◽  
Sudden Cardiac Death ◽  
Cause Of Death ◽  
Cardiac Death ◽  
Linkage Study ◽  
Mortality Data ◽  
Prevention Measures ◽  
Hospital Morbidity

Objective The aim of the present study was to develop criteria to identify sudden cardiac death (SCD) and estimate population rates of SCD using administrative mortality and hospital morbidity records in Western Australia. Methods Four criteria were developed using place, death within 24 h, principal and secondary diagnoses, underlying and associated cause of death, and/or occurrence of a post mortem to identify SCD. Average crude, age-standardised and age-specific rates of SCD were estimated using population person-linked administrative data. Results In all, 9567 probable SCDs were identified between 1997 and 2010, with one-third aged ≥35 years having no prior admission for cardiovascular disease. SCD was more frequent in men (62.1%). The estimated average annual crude SCD rate for the period was 34.6 per 100 000 person-years with an average annual age-standardised rate of 37.8 per 100 000 person-years. Age-specific standardised rates were 1.1 per 100 000 person-years and 70.7 per 100 000 person-years in people aged 1–34 and ≥35 years, respectively. Ischaemic heart disease (IHD) was recorded as the underlying cause of death in approximately 80% of patients aged ≥35 years, followed by valvular heart disease and heart failure. IHD was the most common cause of death in those aged 1–34 years, followed by unspecified cardiomyopathy and dysrhythmias. Conclusions Administrative morbidity and mortality data can be used to estimate rates of SCD and therefore provide a suitable methodology for monitoring SCD over time. The findings highlight the magnitude of SCD and its potential for public health prevention. What is known about the topic? There is considerable variability in rates of SCD worldwide. Different data sources and varied methods of case ascertainment likely contribute to this variation. What does this paper add? The rate of SCD in Australia is low compared with international estimates from USA, Ireland, Netherlands and China. Two in every three cases of SCD aged ≥35 years had a hospitalisation history of cardiovascular disease, highlighting the opportunity for prevention. What are the implications for practitioners? High-quality person-linked administrative hospital morbidity and registered mortality data can be used to estimate rates of SCD in the population. Understanding the magnitude and distribution of SCD is imperative for developing effective public health policy and prevention measures.

scholarly journals Spatiotemporal mapping and detection of mortality cluster due to cardiovascular disease with Bayesian hierarchical framework using integrated nested Laplace approximation: A discussion of suitable statistic applications in Kersa, Oromia, Ethiopia

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Melkamu Dedefo ◽  
Henry Mwambi ◽  
Sileshi Fanta ◽  
Nega Assefa
Keyword(s):  
Cause Of Death ◽  
Linear Models ◽  
Temporal Distribution ◽  
Mortality Data ◽  
Contributing Factors ◽  
Bayesian Hierarchical ◽  
Hierarchical Framework ◽  
Temporal Models ◽  
Spatio Temporal ◽  
Non Parametric

Cardiovascular diseases (CVDs) are the leading cause of death globally and the number one cause of death globally. Over 75% of CVD deaths take place in low- and middle-income countries. Hence, comprehensive information about the spatio-temporal distribution of mortality due to cardio vascular disease is of interest. We fitted different spatio-temporal models within Bayesian hierarchical framework allowing different space-time interaction for mortality mapping with integrated nested Laplace approximations to analyze mortality data extracted from the health and demographic surveillance system in Kersa District in Hararege, Oromia Region, Ethiopia. The result indicates that non-parametric time trends models perform better than linear models. Among proposed models, one with non-parametric trend, type II interaction and second order random walk but without unstructured time effect was found to perform best according to our experience and. simulation study. An application based on real data revealed that, mortality due to CVD increased during the study period, while administrative regions in northern and south-eastern part of the study area showed a significantly elevated risk. The study highlighted distinct spatiotemporal clusters of mortality due to CVD within the study area. The study is a preliminary assessment step in prioritizing areas for further and more comprehensive research raising questions to be addressed by detailed investigation. Underlying contributing factors need to be identified and accurately quantified.

scholarly journals Clustering of 27,525,663 Death Records from the United States Based on Health Conditions Associated with Death: An Example of big Health Data Exploration

2019 ◽  
Vol 8 (7) ◽  
pp. 922
Author(s):  
Daisy J.A. Janssen ◽  
Simon Rechberger ◽  
Emiel F.M. Wouters ◽  
Jos M.G.A. Schols ◽  
Miriam J. Johnson ◽  
...  
Keyword(s):  
United States ◽  
Palliative Care ◽  
End Of Life ◽  
Cause Of Death ◽  
The United States ◽  
Population Based ◽  
Health Conditions ◽  
Mortality Data ◽  
Self Organizing Map ◽  
Multiple Health

Background: Insight into health conditions associated with death can inform healthcare policy. We aimed to cluster 27,525,663 deceased people based on the health conditions associated with death to study the associations between the health condition clusters, demographics, the recorded underlying cause and place of death. Methods: Data from all deaths in the United States registered between 2006 and 2016 from the National Vital Statistics System of the National Center for Health Statistics were analyzed. A self-organizing map (SOM) was used to create an ordered representation of the mortality data. Results: 16 clusters based on the health conditions associated with death were found showing significant differences in socio-demographics, place, and cause of death. Most people died at old age (73.1 (18.0) years) and had multiple health conditions. Chronic ischemic heart disease was the main cause of death. Most people died in the hospital or at home. Conclusions: The prevalence of multiple health conditions at death requires a shift from disease-oriented towards person-centred palliative care at the end of life, including timely advance care planning. Understanding differences in population-based patterns and clusters of end-of-life experiences is an important step toward developing a strategy for implementing population-based palliative care.

Future Health Services Managers' and Health Information Managers' Views on Information Technology: A Pilot Survey

1996 ◽  
Vol 26 (2) ◽  
pp. 82-87 ◽  
Author(s):  
Jeffrey Braithwaite ◽  
Johanna I Westbrook
Keyword(s):  
Information Technology ◽  
Health Service ◽  
Health Information ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Future Health ◽  
Disk Storage ◽  
Pilot Survey ◽  
Service Managers ◽  
Insight Into

This pilot survey examined the views of a sample of health service managers (HSMs) and health information managers (HIMs) undertaking tertiary studies about the application of information technology (IT) in health care. The survey was based on a questionnaire designed as part of a 1994 study of health service executives (HSEs) commissioned by the Australian College of Health Service Executives (ACHSE). We examined views about current and future IT expenditure, satisfaction with IT, impact of IT on quality and efficiency and the future use of electronic medical records and optical disk storage. Results identify differences and some similarities between respondent groups on these issues. The paper explores these differences and similarities and provides insight into the views held by future HSMs and HIMs.

scholarly journals Managing Rivers for Multiple Benefits–A Coherent Approach to Research, Policy and Planning

2017 ◽  
Vol 5 ◽  
Author(s):  
David Tickner ◽  
Helen Parker ◽  
Catherine R. Moncrieff ◽  
Naomi E. M. Oates ◽  
Eva Ludi ◽  
...  
Keyword(s):  
Research Policy ◽  
Policy And Planning

scholarly journals Determining Stroke's Rank as a Cause of Death Using Multicause Mortality Data

Stroke ◽  
2012 ◽  
Vol 43 (8) ◽  
pp. 2207-2211 ◽  
Author(s):  
James F. Burke ◽  
Lynda D. Lisabeth ◽  
Devin L. Brown ◽  
Matthew J. Reeves ◽  
Lewis B. Morgenstern
Keyword(s):  
Cause Of Death ◽  
Mortality Data

scholarly journals Do Death Certificates Underestimate the Burden of Rare Diseases? The Example of Systemic Lupus Erythematosus Mortality, Sweden, 2001-2013

2018 ◽  
Vol 133 (4) ◽  
pp. 481-488 ◽  
Author(s):  
Titilola Falasinnu ◽  
Marios Rossides ◽  
Yashaar Chaichian ◽  
Julia F. Simard
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Cause Of Death ◽  
Rare Diseases ◽  
Lupus Erythematosus ◽  
Health Resources ◽  
Premature Mortality ◽  
Population Based ◽  
Mortality Data ◽  
Systemic Lupus ◽  
Swedish Population

Objectives: Mortality due to rare diseases, which are substantial sources of premature mortality, is underreported in mortality studies. The objective of this study was to determine the completeness of reporting systemic lupus erythematosus (SLE) as a cause of death. Methods: In 2017, we linked data on a Swedish population-based cohort (the Swedish Lupus Linkage, 2001-2013) comprising people with SLE (n = 8560) and their matched general population comparators (n = 37 717) to data from the Cause of Death Register. We reviewed death records of deceased people from the cohort (n = 5110) and extracted data on patient demographic characteristics and causes of death. We estimated odds ratios (ORs) and 95% confidence intervals (CIs) for not reporting SLE as a cause of death by using multivariable-adjusted logistic regression models. Results: Of 1802 deaths among SLE patients in the study, 1071 (59%) did not have SLE reported on their death records. Most SLE decedents were aged 75-84 at death (n = 584, 32%), female (n = 1462, 81%), and born in Nordic countries (n = 1730, 96%). Decedents aged ≥85 at death were more likely to have SLE not reported on their death records than were decedents aged <50 (OR = 2.34; 95% CI, 1.48-3.68). Having renal failure listed as a cause of death decreased the likelihood of SLE not being reported on the death record (OR = 0.54; 95% CI, 0.40-0.73), whereas having cancer listed as a cause of death increased this likelihood (OR = 2.39; 95% CI, 1.85-3.07). Conclusions: SLE was greatly underreported as a cause of mortality on death records of SLE patients, particularly in older decedents and those with cancer, thereby underestimating the true burden of this disease. Public health resources need to focus on improving the recording of rare diseases in order to enhance the epidemiological utility of mortality data.

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