LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 46

Search options

  1. Article ; Online: Artificial intelligence or manufactured stupidity? The need for injury informaticians in the big data era.

    Vallmuur, Kirsten

    Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention

    2020  Volume 26, Issue 4, Page(s) 400–401

    Abstract: The volume, velocity and variety of data collected about individuals have increased exponentially over the last decade, presenting new injury surveillance opportunities to identify risk factors, monitor trends, and evaluate the efficacy of interventions. ...

    Abstract The volume, velocity and variety of data collected about individuals have increased exponentially over the last decade, presenting new injury surveillance opportunities to identify risk factors, monitor trends, and evaluate the efficacy of interventions. But does the hype around big data and artificial intelligence (AI) apply to the injury prevention space, and how veracious is surveillance in this era? This commentary discusses the digital transformation of health as applied to injury prevention, but cautions on the challenges of maintaining data quality in integrated systems and discusses the need for an injury informatics strategy moving forward.
    MeSH term(s) Artificial Intelligence ; Big Data ; Humans
    Language English
    Publishing date 2020-07-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 1433667-4
    ISSN 1475-5785 ; 1353-8047
    ISSN (online) 1475-5785
    ISSN 1353-8047
    DOI 10.1136/injuryprev-2019-043393
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Identifying foci for safety messages targeting child injury from driving quad bikes: A critical beliefs analysis of parental beliefs in Australia.

    Vuong, Kim A / Lewis, Ioni / Vallmuur, Kirsten / Watson, Angela

    Journal of safety research

    2023  Volume 85, Page(s) 429–435

    Abstract: Introduction: In Australia, between 2017-2021, 16% of quad bike fatalities involved children. Trauma statistics highlight that public awareness of the risks associated with children driving quads is required. Consistent with the Step approach to Message ...

    Abstract Introduction: In Australia, between 2017-2021, 16% of quad bike fatalities involved children. Trauma statistics highlight that public awareness of the risks associated with children driving quads is required. Consistent with the Step approach to Message Design and Testing (SatMDT) and, in particular, Steps 1 and 2, this study sought to identify critical beliefs influencing parental intentions to allow their children to drive a quad bike and develop message content. The critical beliefs analysis was based on eliciting the Theory of Planned Behavior's (TPB) behavioral, normative, and control beliefs.
    Methods: An online survey was distributed via parenting blogs, social media posts, and snowballing of the researchers' network list. Parents who participated (N = 71; 53F, 18 M), were aged between 25-57 years (M = 40.96, SD = 6.98), had at least one child aged between 3 to 16 years, and currently resided in Australia.
    Results: The critical beliefs analysis identified four critical beliefs that significantly predicted parental intentions to allow their child to drive a quad bike. These beliefs included a behavioral belief (the perceived advantage that allowing their child to drive a quad bike would enable tasks to be completed), two normative beliefs (the perception that one's parents and partner would likely approve of allowing their child to drive a quad bike), and one control belief (a perceived barrier to allowing one's child to drive a quad that was associated with being aware of an increasing cultural concern around the safety of quad bikes).
    Conclusions: Findings contribute to insights regarding parental beliefs underpinning their intention to allow their child to drive a quad bike, an area previously lacking in research evidence.
    Practical applications: With child-use posing a high-risk activity for children, this study provides an important contribution that may help to inform future safety messaging targeting children's use of quad bikes.
    MeSH term(s) Humans ; Adult ; Middle Aged ; Child, Preschool ; Child ; Adolescent ; Bicycling ; Australia ; Parents ; Intention
    Language English
    Publishing date 2023-04-27
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2015321-1
    ISSN 1879-1247 ; 0022-4375
    ISSN (online) 1879-1247
    ISSN 0022-4375
    DOI 10.1016/j.jsr.2023.04.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Applying a public health approach to identify priorities for regulating child product safety.

    Niven, Catherine / Mathews, Ben / Vallmuur, Kirsten

    Australian and New Zealand journal of public health

    2022  Volume 46, Issue 2, Page(s) 142–148

    Abstract: Objective: To identify leading injury risk factors and jurisdictional differences in Australian and US child-related product safety regulatory responses to inform the development of Australian policy and reform priorities.: Methods: The study ... ...

    Abstract Objective: To identify leading injury risk factors and jurisdictional differences in Australian and US child-related product safety regulatory responses to inform the development of Australian policy and reform priorities.
    Methods: The study established and evaluated a knowledge base of child-related product safety regulatory responses (recalls, bans, standards and warnings) made in Australia and the US over the period 2011-17 to identify risk factors and potential regulatory gaps.
    Results: The research identified 1,540 Australian and US child-related product safety regulatory responses with the most common response type being product safety recall, and the leading product hazards in responses being choking, fire, fall, strangulation and chemical hazards. Jurisdictional differences identified potential regulatory gaps in Australia related to chemical hazards and high-risk durable infant and toddler products, and some data deficiencies in Australian responses.
    Conclusions: Priorities include the need to improve the prevention orientation of the Australian product safety framework, to create an intelligence platform to assess injury risks more precisely and to address regulatory gaps related to the use of toxic chemicals in children's products and high-risk durable infant and toddler products.
    Implications for public health: The study demonstrates the identification of policy and reform priorities for child product safety using a public health lens.
    MeSH term(s) Accidental Falls ; Australia ; Family ; Humans ; Infant ; Public Health ; Risk Factors
    Language English
    Publishing date 2022-02-17
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 1323548-5
    ISSN 1753-6405 ; 1326-0200
    ISSN (online) 1753-6405
    ISSN 1326-0200
    DOI 10.1111/1753-6405.13212
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Machine learning approaches to analysing textual injury surveillance data: a systematic review.

    Vallmuur, Kirsten

    Accident; analysis and prevention

    2015  Volume 79, Page(s) 41–49

    Abstract: Objective: To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data.: Design: Systematic review.: Data sources: The electronic databases which were searched included PubMed, Cinahl, Medline, ...

    Abstract Objective: To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data.
    Design: Systematic review.
    Data sources: The electronic databases which were searched included PubMed, Cinahl, Medline, Google Scholar, and Proquest. The bibliography of all relevant articles was examined and associated articles were identified using a snowballing technique.
    Selection criteria: For inclusion, articles were required to meet the following criteria: (a) used a health-related database, (b) focused on injury-related cases, AND used machine learning approaches to analyse textual data.
    Methods: The papers identified through the search were screened resulting in 16 papers selected for review. Articles were reviewed to describe the databases and methodology used, the strength and limitations of different techniques, and quality assurance approaches used. Due to heterogeneity between studies meta-analysis was not performed.
    Results: Occupational injuries were the focus of half of the machine learning studies and the most common methods described were Bayesian probability or Bayesian network based methods to either predict injury categories or extract common injury scenarios. Models were evaluated through either comparison with gold standard data or content expert evaluation or statistical measures of quality. Machine learning was found to provide high precision and accuracy when predicting a small number of categories, was valuable for visualisation of injury patterns and prediction of future outcomes. However, difficulties related to generalizability, source data quality, complexity of models and integration of content and technical knowledge were discussed.
    Conclusions: The use of narrative text for injury surveillance has grown in popularity, complexity and quality over recent years. With advances in data mining techniques, increased capacity for analysis of large databases, and involvement of computer scientists in the injury prevention field, along with more comprehensive use and description of quality assurance methods in text mining approaches, it is likely that we will see a continued growth and advancement in knowledge of text mining in the injury field.
    MeSH term(s) Adolescent ; Adult ; Aged ; Aged, 80 and over ; Child ; Child, Preschool ; Data Mining/methods ; Female ; Humans ; Infant ; Infant, Newborn ; Machine Learning ; Male ; Middle Aged ; Models, Theoretical ; Population Surveillance/methods ; Statistics as Topic/methods ; Wounds and Injuries/epidemiology ; Young Adult
    Language English
    Publishing date 2015-06
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 210223-7
    ISSN 1879-2057 ; 0001-4575
    ISSN (online) 1879-2057
    ISSN 0001-4575
    DOI 10.1016/j.aap.2015.03.018
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: The epidemiology of sports and leisure-related injury hospitalisations in Queensland: A five-year review.

    Brimm, Daniel / Roe, John / Warren, Jacelle / Smyth, Tanya / Vallmuur, Kirsten / Banu, Shahera

    Injury

    2023  

    Abstract: Objective: To describe the epidemiology of sports and leisure-related injury hospitalisations in Queensland DESIGN, SETTING, AND PATIENTS: Retrospective analysis of routinely collected hospital admissions data from all Queensland hospitals (public and ... ...

    Abstract Objective: To describe the epidemiology of sports and leisure-related injury hospitalisations in Queensland DESIGN, SETTING, AND PATIENTS: Retrospective analysis of routinely collected hospital admissions data from all Queensland hospitals (public and private) between 2012 and 2016 for injury-related admissions where the activity engaged in when injured was coded as sports or leisure activity.
    Main outcome measures: Number of hospitalisations; rate of hospitalisation per 100,000 population and demographic, injury, treatment, and outcome details of hospitalised injury patients.
    Results: Between 01 January 2012 and 31 December 2016, 76,982 people were hospitalised for a sports or leisure-related injury in Queensland. More people were hospitalised in public hospitals than private. Rates were highest for those under 14 years (601.5/100,000 population) and were higher in males (130.6/100,000 population) than females (28.9/100,000 population). A total of 18,734 injuries (24.3%; 79.5/100,000 population) were sustained while playing team ball sports, with rugby codes (rugby union, rugby league and rugby unspecified) representing the single largest source of injuries with 6,592. The extremities were the most likely body location of injury (46,644; 198/100,000 population), and the most common injury type was a fracture (35,018; 148.6/100,000 population).
    Conclusions: The findings highlight the significant burden of sport and leisure-related injury hospitalisations in Queensland. This information is important for injury prevention and trauma system planning.
    Language English
    Publishing date 2023-04-20
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 218778-4
    ISSN 1879-0267 ; 0020-1383
    ISSN (online) 1879-0267
    ISSN 0020-1383
    DOI 10.1016/j.injury.2023.04.035
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article ; Online: Application of a Machine Learning-Based Decision Support Tool to Improve an Injury Surveillance System Workflow.

    Catchpoole, Jesani / Nanda, Gaurav / Vallmuur, Kirsten / Nand, Goshad / Lehto, Mark

    Applied clinical informatics

    2022  Volume 13, Issue 3, Page(s) 700–710

    Abstract: Background: Emergency department (ED)-based injury surveillance systems across many countries face resourcing challenges related to manual validation and coding of data.: Objective: This study describes the evaluation of a machine learning (ML)-based ...

    Abstract Background: Emergency department (ED)-based injury surveillance systems across many countries face resourcing challenges related to manual validation and coding of data.
    Objective: This study describes the evaluation of a machine learning (ML)-based decision support tool (DST) to assist injury surveillance departments in the validation, coding, and use of their data, comparing outcomes in coding time, and accuracy pre- and postimplementations.
    Methods: Manually coded injury surveillance data have been used to develop, train, and iteratively refine a ML-based classifier to enable semiautomated coding of injury narrative data. This paper describes a trial implementation of the ML-based DST in the Queensland Injury Surveillance Unit (QISU) workflow using a major pediatric hospital's ED data comparing outcomes in coding time and pre- and postimplementation accuracies.
    Results: The study found a 10% reduction in manual coding time after the DST was introduced. The Kappa statistics analysis in both DST-assisted and -unassisted data shows increase in accuracy across three data fields, that is, injury intent (85.4% unassisted vs. 94.5% assisted), external cause (88.8% unassisted vs. 91.8% assisted), and injury factor (89.3% unassisted vs. 92.9% assisted). The classifier was also used to produce a timely report monitoring injury patterns during the novel coronavirus disease 2019 (COVID-19) pandemic. Hence, it has the potential for near real-time surveillance of emerging hazards to inform public health responses.
    Conclusion: The integration of the DST into the injury surveillance workflow shows benefits as it facilitates timely reporting and acts as a DST in the manual coding process.
    MeSH term(s) COVID-19/epidemiology ; Child ; Emergency Service, Hospital ; Hospital Information Systems/organization & administration ; Humans ; Injury Severity Score ; Machine Learning ; Pandemics ; Workflow ; Wounds and Injuries/classification
    Language English
    Publishing date 2022-05-29
    Publishing country Germany
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1869-0327
    ISSN (online) 1869-0327
    DOI 10.1055/a-1863-7176
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: A population-based epidemiological and health economic analysis of fracture-related infection.

    Foster, Andrew L / Warren, Jacelle / Vallmuur, Kirsten / Jaiprakash, Anjali / Crawford, Ross / Tetsworth, Kevin / Schuetz, Michael A

    The bone & joint journal

    2024  Volume 106-B, Issue 1, Page(s) 77–85

    Abstract: Aims: The aim of this study was to perform the first population-based description of the epidemiological and health economic burden of fracture-related infection (FRI).: Methods: This is a retrospective cohort study of operatively managed orthopaedic ...

    Abstract Aims: The aim of this study was to perform the first population-based description of the epidemiological and health economic burden of fracture-related infection (FRI).
    Methods: This is a retrospective cohort study of operatively managed orthopaedic trauma patients from 1 January 2007 to 31 December 2016, performed in Queensland, Australia. Record linkage was used to develop a person-centric, population-based dataset incorporating routinely collected administrative, clinical, and health economic information. The FRI group consisted of patients with International Classification of Disease 10th Revision diagnosis codes for deep infection associated with an implanted device within two years following surgery, while all others were deemed not infected. Demographic and clinical variables, as well as healthcare utilization costs, were compared.
    Results: There were 111,402 patients operatively managed for orthopaedic trauma, with 2,775 of these (2.5%) complicated by FRI. The development of FRI had a statistically significant association with older age, male sex, residing in rural/remote areas, Aboriginal or Torres Strait Islander background, lower socioeconomic status, road traffic accident, work-related injuries, open fractures, anatomical region (lower limb, spine, pelvis), high injury severity, requiring soft-tissue coverage, and medical comorbidities (univariate analysis). Patients with FRI had an eight-times longer median inpatient length of stay (24 days vs 3 days), and a 2.8-times higher mean estimated inpatient hospitalization cost (AU$56,565 vs AU$19,773) compared with uninfected patients. The total estimated inpatient cost of the FRI cohort to the healthcare system was AU$156.9 million over the ten-year period.
    Conclusion: The results of this study advocate for improvements in trauma care and infection management, address social determinants of health, and highlight the upside potential to improve prevention and treatment strategies.
    MeSH term(s) Humans ; Male ; Retrospective Studies ; Australia ; Hospitalization ; Inpatients ; Fractures, Open
    Language English
    Publishing date 2024-01-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2697156-2
    ISSN 2049-4408 ; 2049-4394
    ISSN (online) 2049-4408
    ISSN 2049-4394
    DOI 10.1302/0301-620X.106B1.BJJ-2023-0279.R2
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Development of a standardized minimum dataset for including low-severity trauma patients in trauma registry collections in Australia and Aotearoa New Zealand.

    Christey, Grant / Warren, Jacelle / Palmer, Cameron S / Burrell, Maxine / Vallmuur, Kirsten

    ANZ journal of surgery

    2023  Volume 93, Issue 3, Page(s) 572–576

    Abstract: Background: Trauma continues to place a burden on individuals, communities and health care systems around the world. To help reduce this burden and improve care, trauma registries in Australia and Aotearoa New Zealand collect standardized data on ... ...

    Abstract Background: Trauma continues to place a burden on individuals, communities and health care systems around the world. To help reduce this burden and improve care, trauma registries in Australia and Aotearoa New Zealand collect standardized data on patients admitted with Injury Severity Scores greater than 12. There is currently no agreed minimum data set for trauma patients with Injury Severity Score less than 13, representing an opportunity to provide more data for quality improvement and injury prevention.
    Methods: A binational, expert, advisory group assessed the value of potential fields for a minimum dataset for low severity trauma. Existing trauma registries in Australia and Aotearoa New Zealand were assessed to ensure compatibility.
    Results: Thirty-five data fields met criteria for inclusion in the low-severity minimum dataset. The fields comprised a subset of the Australia New Zealand Major Trauma Registry and were included in existing low-severity registries.
    Conclusion: A minimum data set for low severity has been defined for use in Australia and Aotearoa New Zealand. In addition to high severity trauma data this will provide a standard for data collection that will contribute to quality improvement and injury prevention.
    MeSH term(s) Humans ; New Zealand/epidemiology ; Australia/epidemiology ; Registries ; Data Collection ; Hospitalization ; Wounds and Injuries/epidemiology
    Language English
    Publishing date 2023-03-01
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 2050749-5
    ISSN 1445-2197 ; 1445-1433 ; 0004-8682
    ISSN (online) 1445-2197
    ISSN 1445-1433 ; 0004-8682
    DOI 10.1111/ans.18326
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Comparing the accuracy of ICD-based severity estimates to trauma registry-based injury severity estimates for predicting mortality outcomes.

    Vallmuur, Kirsten / Cameron, Cate M / Watson, Angela / Warren, Jacelle

    Injury

    2021  Volume 52, Issue 7, Page(s) 1732–1739

    Abstract: Introduction: Trauma registries have been used internationally for several decades to measure the quality of trauma care between hospitals. Given the significant costs involved in establishing and maintaining trauma registries, and increasing ... ...

    Abstract Introduction: Trauma registries have been used internationally for several decades to measure the quality of trauma care between hospitals. Given the significant costs involved in establishing and maintaining trauma registries, and increasing availability of routinely collected, linked health data describing a patient's journey (and inherent cost savings in data re-use), there is significant interest in development of integrated, comprehensive trauma data repositories. However, approaches to estimating injury severity using routinely collected data would need to be developed if routinely collected hospital data were to be used as an alternative/supplement to registries.
    Objectives: This study aimed to compare the accuracy of registry-based injury severity estimates with ICD-based injury severity estimates in predicting mortality outcomes in a cohort of minor and major trauma patients in Queensland, using retrospectively linked trauma registry and hospital admissions data.
    Methods: Queensland Trauma Registry (QTR) data with an admission date between 1 January 2005 and 31 December 2011 was linked with all acute care patients included in the Queensland Hospital Admitted Patient Data Collection (QHAPDC) with a Principal Diagnosis coded with an ICD-10-AM code within Chapter 19 (S00-T98). Abbreviated Injury Scale coding was undertaken manually by QTR trauma data nurses for the registry data. ICD-based injury severity scores (ICISS) were calculated automatically using all injury-related diagnoses captured in the QHAPDC data using the ICISS multiplicative and worst injury method.
    Results: There were 92,140 QTR patients admitted between January 2005 and December 2011 with a valid ISS with a matching QHAPDC record (98.4% survived, 1.6% died). ICISS (multiplicative and worst injury approach) showed marginally better predictive accuracy than ISS when predicting mortality across minor and major injury and ICISS showed marginally better predictive accuracy to ISS when restricted to major trauma/high threat to life cases. Both ICISS and ISS restricted to major trauma/high threat to life showed poorer accuracy compared to the predictive performance when both minor and major cases were included.
    Conclusion: ICD-based predictions were as accurate as ISS-based predictions for this cohort and this study provides evidence to support the potential for using routinely coded hospital data for risk adjustment within State-based trauma data repositories.
    MeSH term(s) Abbreviated Injury Scale ; Humans ; Injury Severity Score ; Queensland/epidemiology ; Registries ; Retrospective Studies ; Wounds and Injuries/therapy
    Language English
    Publishing date 2021-05-16
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 218778-4
    ISSN 1879-0267 ; 0020-1383
    ISSN (online) 1879-0267
    ISSN 0020-1383
    DOI 10.1016/j.injury.2021.05.016
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: Bandaids are not the fix: Examining the patterns of injury-related emergency department presentations in Australian children.

    Möller, Holger / Niven, Catherine / Catchpoole, Jesani / Ivers, Rebecca / Harrison, James / Vallmuur, Kirsten

    Emergency medicine Australasia : EMA

    2022  Volume 35, Issue 1, Page(s) 112–119

    Abstract: Objective: To provide an epidemiological understanding of the types of injuries treated in ED in Australian children, describe the impact of these injuries in volume and severity, and assess the patterns by demographic and temporal factors.: Methods: ...

    Abstract Objective: To provide an epidemiological understanding of the types of injuries treated in ED in Australian children, describe the impact of these injuries in volume and severity, and assess the patterns by demographic and temporal factors.
    Methods: ED data from six major paediatric hospitals in four Australian states over the period 2011-2017 were analysed to identify childhood injury patterns by nature of injury and body region, as well as sex, age group and temporal factors.
    Results: A total of 486 762 ED presentations for injury in children aged 0-14 years were analysed. The most common injuries for all age groups were fractures of the upper extremities. Leading injury diagnosis groups varied by age groups and sex. Overall, children aged 1-2 years had the highest number of ED presentations for injury, and from birth more males than females presented to ED with injuries with the highest absolute sex difference observed for 10- to 14-year-olds. Seventeen percent of children who presented to ED were admitted to hospital with the leading type of hospitalised injury being fractures. Little monthly variation in ED presentations was observed, except for higher presentations for drowning in summer months, and for most injury types, ED presentations were higher during weekends and daytime.
    Conclusions: This is the first large-scale quantification of paediatric injury-related ED presentation patterns in Australia since the conclusion of the National Injury Surveillance and Prevention Program about 30 years ago. It provides valuable information to inform paediatric ED resourcing decisions as well as important evidence for injury prevention practitioners.
    MeSH term(s) Child ; Humans ; Male ; Female ; Australia/epidemiology ; Hospitalization ; Fractures, Bone/epidemiology ; Emergency Service, Hospital ; Hospitals, Pediatric ; Retrospective Studies
    Language English
    Publishing date 2022-09-20
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 2161824-0
    ISSN 1742-6723 ; 1742-6731 ; 1035-6851
    ISSN (online) 1742-6723
    ISSN 1742-6731 ; 1035-6851
    DOI 10.1111/1742-6723.14087
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top