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  1. Article ; Online: Commentary: Towards machine learning-enabled epidemiology.

    Jorm, Louisa R

    International journal of epidemiology

    2021  Volume 49, Issue 6, Page(s) 1770–1773

    Language English
    Publishing date 2021-01-20
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 187909-1
    ISSN 1464-3685 ; 0300-5771
    ISSN (online) 1464-3685
    ISSN 0300-5771
    DOI 10.1093/ije/dyaa242
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Incidence and Predictors of Readmissions to Non-Index Hospitals After Transcatheter Aortic Valve Implantation in the Contemporary Era in New South Wales, Australia.

    Shawon, Md Shajedur Rahman / Ryan, Jonathon B / Jorm, Louisa

    Heart, lung & circulation

    2024  

    Abstract: Background: In Australia, transcatheter aortic valve implantation (TAVI) is only performed in a limited number of specialised metropolitan centres, many of which are private hospitals, making it likely that TAVI patients who require readmission will ... ...

    Abstract Background: In Australia, transcatheter aortic valve implantation (TAVI) is only performed in a limited number of specialised metropolitan centres, many of which are private hospitals, making it likely that TAVI patients who require readmission will present to another (non-index) hospital. It is important to understand the impact of non-index readmission on patient outcomes and healthcare resource utilisation.
    Method: We analysed linked hospital and death records for residents of New South Wales, Australia, aged ≥18 years, who had an emergency readmission within 90 days following a TAVI procedure in 2013-2022. Mixed-effect, multi-level logistic regression models were used to evaluate predictors of non-index readmission, and associations between non-index readmission and readmission length of stay, 90-day mortality, and 1-year mortality.
    Results: Of 4,198 patients (mean age, 82.7 years; 40.6% female) discharged alive following TAVI, 933 (22.2%) were readmitted within 90 days of discharge. Over three-quarters (76.0%) of those readmitted returned to a non-index hospital, with no significant difference in readmission principal diagnosis between index hospital and non-index hospital readmissions. Among readmitted patients, independent predictors of non-index readmission included: residence in regional or remote areas, lower socio-economic status, having a pre-procedure transfer, and a private index hospital. Readmission length of stay (median, 4 days), 90-day mortality (adjusted odds ratio [OR] 1.04, 95% confidence interval [CI] 0.56-1.96) and 1-year mortality (adjusted OR 1.01, 95% CI 0.64-1.58) were similar between index and non-index readmissions.
    Conclusions: Non-index readmission following TAVI was highly prevalent but not associated with increased mortality or healthcare utilisation. Our results are reassuring for TAVI patients in regional and remote areas with limited access to return to index TAVI hospitals.
    Language English
    Publishing date 2024-04-04
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 2020980-0
    ISSN 1444-2892 ; 1443-9506
    ISSN (online) 1444-2892
    ISSN 1443-9506
    DOI 10.1016/j.hlc.2024.02.012
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Does use of GP and specialist services vary across areas and according to individual socioeconomic position? A multilevel analysis using linked data in Australia.

    Butler, Danielle C / Larkins, Sarah / Jorm, Louisa / Korda, Rosemary J

    BMJ open

    2024  Volume 14, Issue 1, Page(s) e074624

    Abstract: Objective: Timely access to primary care and supporting specialist care relative to need is essential for health equity. However, use of services can vary according to an individual's socioeconomic circumstances or where they live. This study aimed to ... ...

    Abstract Objective: Timely access to primary care and supporting specialist care relative to need is essential for health equity. However, use of services can vary according to an individual's socioeconomic circumstances or where they live. This study aimed to quantify individual socioeconomic variation in general practitioner (GP) and specialist use in New South Wales (NSW), accounting for area-level variation in use.
    Design: Outcomes were GP use and quality-of-care and specialist use. Multilevel logistic regression was used to estimate: (1) median ORs (MORs) to quantify small area variation in outcomes, which gives the median increased risk of moving to an area of higher risk of an outcome, and (2) ORs to quantify associations between outcomes and individual education level, our main exposure variable. Analyses were adjusted for individual sociodemographic and health characteristics and performed separately by remoteness categories.
    Setting: Baseline data (2006-2009) from the 45 and Up Study, NSW, Australia, linked to Medicare Benefits Schedule and death data (to December 2012).
    Participants: 267 153 adults aged 45 years and older.
    Results: GP (MOR=1.32-1.35) and specialist use (1.16-1.18) varied between areas, accounting for individual characteristics. For a given level of need and accounting for area variation, low education-level individuals were more likely to be frequent users of GP services (no school certificate vs university, OR=1.63-1.91, depending on remoteness category) and have continuity of care (OR=1.14-1.24), but were less likely to see a specialist (OR=0.85-0.95).
    Conclusion: GP and specialist use varied across small areas in NSW, independent of individual characteristics. Use of GP care was equitable, but specialist care was not. Failure to address inequitable specialist use may undermine equity gains within the primary care system. Policies should also focus on local variation.
    MeSH term(s) Adult ; Aged ; Humans ; Multilevel Analysis ; Semantic Web ; General Practitioners ; National Health Programs ; Australia ; Educational Status
    Language English
    Publishing date 2024-01-06
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2599832-8
    ISSN 2044-6055 ; 2044-6055
    ISSN (online) 2044-6055
    ISSN 2044-6055
    DOI 10.1136/bmjopen-2023-074624
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Readmission to a non-index hospital following total joint replacement.

    Shawon, Md S R / Jin, Xingzhong / Hanly, Mark / de Steiger, Richard / Harris, Ian / Jorm, Louisa

    Bone & joint open

    2024  Volume 5, Issue 1, Page(s) 60–68

    Abstract: Aims: It is unclear whether mortality outcomes differ for patients undergoing total hip arthroplasty (THA) or total knee arthroplasty (TKA) surgery who are readmitted to the index hospital where their surgery was performed, or to another hospital.: ... ...

    Abstract Aims: It is unclear whether mortality outcomes differ for patients undergoing total hip arthroplasty (THA) or total knee arthroplasty (TKA) surgery who are readmitted to the index hospital where their surgery was performed, or to another hospital.
    Methods: We analyzed linked hospital and death records for residents of New South Wales, Australia, aged ≥ 18 years who had an emergency readmission within 90 days following THA or TKA surgery between 2003 and 2022. Multivariable modelling was used to identify factors associated with non-index readmission and to evaluate associations of readmission destination (non-index vs index) with 90-day and one-year mortality.
    Results: Of 394,248 joint arthroplasty patients (THA = 149,456; TKA = 244,792), 9.5% (n = 37,431) were readmitted within 90 days, and 53.7% of these were admitted to a non-index hospital. Non-index readmission was more prevalent among patients who underwent surgery in private hospitals (60%). Patients who were readmitted for non-orthopaedic conditions (62.8%), were more likely to return to a non-index hospital compared to those readmitted for orthopaedic complications (39.5%). Factors associated with non-index readmission included older age, higher socioeconomic status, private health insurance, and residence in a rural or remote area. Non-index readmission was significantly associated with 90-day (adjusted odds ratio (aOR) 1.69; 95% confidence interval (CI) 1.39 to 2.05) and one-year mortality (aOR 1.31; 95% CI 1.16 to 1.47). Associations between non-index readmission and mortality were similar for patients readmitted with orthopaedic and non-orthopaedic complications (90-day mortality aOR 1.61; 95% CI 0.98 to 2.64, and aOR 1.67; 95% CI 1.35 to 2.06, respectively).
    Conclusion: Non-index readmission was associated with increased mortality, irrespective of whether the readmission was for orthopaedic complications or other conditions.
    Language English
    Publishing date 2024-01-24
    Publishing country England
    Document type Journal Article
    ISSN 2633-1462
    ISSN (online) 2633-1462
    DOI 10.1302/2633-1462.51.BJO-2023-0118.R1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Data Resource Profile: The Cardiac Analytics and Innovation (CardiacAI) Data Repository.

    Blake, Victoria / Jorm, Louisa / Yu, Jennifer / Lee, Astin / Gallego, Blanca / Ooi, Sze-Yuan

    International journal of epidemiology

    2024  Volume 53, Issue 2

    MeSH term(s) Humans ; Electronic Health Records ; Databases, Factual
    Language English
    Publishing date 2024-03-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 187909-1
    ISSN 1464-3685 ; 0300-5771
    ISSN (online) 1464-3685
    ISSN 0300-5771
    DOI 10.1093/ije/dyae040
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Predicting Adverse Outcomes Following Catheter Ablation Treatment for Atrial Flutter/Fibrillation.

    Quiroz, Juan C / Brieger, David / Jorm, Louisa R / Sy, Raymond W / Hsu, Benjumin / Gallego, Blanca

    Heart, lung & circulation

    2024  Volume 33, Issue 4, Page(s) 470–478

    Abstract: Background & aim: To develop prognostic survival models for predicting adverse outcomes after catheter ablation treatment for non-valvular atrial fibrillation (AF) and/or atrial flutter (AFL).: Methods: We used a linked dataset including hospital ... ...

    Abstract Background & aim: To develop prognostic survival models for predicting adverse outcomes after catheter ablation treatment for non-valvular atrial fibrillation (AF) and/or atrial flutter (AFL).
    Methods: We used a linked dataset including hospital administrative data, prescription medicine claims, emergency department presentations, and death registrations of patients in New South Wales, Australia. The cohort included patients who received catheter ablation for AF and/or AFL. Traditional and deep survival models were trained to predict major bleeding events and a composite of heart failure, stroke, cardiac arrest, and death.
    Results: Out of a total of 3,285 patients in the cohort, 177 (5.3%) experienced the composite outcome-heart failure, stroke, cardiac arrest, death-and 167 (5.1%) experienced major bleeding events after catheter ablation treatment. Models predicting the composite outcome had high-risk discrimination accuracy, with the best model having a concordance index >0.79 at the evaluated time horizons. Models for predicting major bleeding events had poor risk discrimination performance, with all models having a concordance index <0.66. The most impactful features for the models predicting higher risk were comorbidities indicative of poor health, older age, and therapies commonly used in sicker patients to treat heart failure and AF and AFL.
    Discussion: Diagnosis and medication history did not contain sufficient information for precise risk prediction of experiencing major bleeding events. Predicting the composite outcome yielded promising results, but future research is needed to validate the usefulness of these models in clinical practice.
    Conclusions: Machine learning models for predicting the composite outcome have the potential to enable clinicians to identify and manage high-risk patients following catheter ablation for AF and AFL proactively.
    MeSH term(s) Humans ; Catheter Ablation/methods ; Catheter Ablation/adverse effects ; Atrial Flutter/surgery ; Male ; Female ; Atrial Fibrillation/surgery ; Aged ; Middle Aged ; New South Wales/epidemiology ; Retrospective Studies ; Survival Rate/trends ; Prognosis ; Risk Factors ; Follow-Up Studies ; Risk Assessment/methods ; Postoperative Complications/epidemiology
    Language English
    Publishing date 2024-02-15
    Publishing country Australia
    Document type Journal Article ; Multicenter Study
    ZDB-ID 2020980-0
    ISSN 1444-2892 ; 1443-9506
    ISSN (online) 1444-2892
    ISSN 1443-9506
    DOI 10.1016/j.hlc.2023.12.016
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Software Application Profile: The daggle app-a tool to support learning and teaching the graphical rules of selecting adjustment variables using directed acyclic graphs.

    Hanly, Mark / Brew, Bronwyn K / Austin, Anna / Jorm, Louisa

    International journal of epidemiology

    2023  Volume 52, Issue 5, Page(s) 1659–1664

    Abstract: Motivation: Directed acyclic graphs (DAGs) are used in epidemiological research to communicate causal assumptions and guide the selection of covariate adjustment sets when estimating causal effects. For any given DAG, a set of graphical rules can be ... ...

    Abstract Motivation: Directed acyclic graphs (DAGs) are used in epidemiological research to communicate causal assumptions and guide the selection of covariate adjustment sets when estimating causal effects. For any given DAG, a set of graphical rules can be applied to identify minimally sufficient adjustment sets that can be used to adjust for bias due to confounding when estimating the causal effect of an exposure on an outcome. The daggle app is a web-based application that aims to assist in the learning and teaching of adjustment set identification using DAGs.
    General features: The application offers two modes: tutorial and random. The tutorial mode presents a guided introduction to how common causal structures can be presented using DAGs and how graphical rules can be used to identify minimally sufficient adjustment sets for causal estimation. The random mode tests this understanding by presenting the user with a randomly generated DAG-a daggle. To solve the daggle, users must correctly identify a valid minimally sufficient adjustment set.
    Implementation: The daggle app is implemented as an R shiny application using the golem framework. The application builds upon existing R libraries including pcalg to generate reproducible random DAGs, dagitty to identify all valid minimal adjustment sets and ggdag to visualize DAGs.
    Availability: The daggle app can be accessed online at [http://cbdrh.shinyapps.io/daggle]. The source code is available on GitHub [https://github.com/CBDRH/daggle] and is released under a Creative Commons CC BY-NC-SA 4.0 licence.
    MeSH term(s) Humans ; Mobile Applications ; Confounding Factors, Epidemiologic ; Data Interpretation, Statistical ; Bias ; Causality
    Language English
    Publishing date 2023-03-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 187909-1
    ISSN 1464-3685 ; 0300-5771
    ISSN (online) 1464-3685
    ISSN 0300-5771
    DOI 10.1093/ije/dyad038
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Have We Been Underestimating Modifiable Dementia Risk? An Alternative Approach for Calculating the Combined Population Attributable Fraction for Modifiable Dementia Risk Factors.

    Welberry, Heidi J / Tisdell, Christopher C / Huque, Md Hamidul / Jorm, Louisa R

    American journal of epidemiology

    2023  Volume 192, Issue 10, Page(s) 1763–1771

    Abstract: Estimating the fraction of dementia cases in a population attributable to a risk factor or combination of risk factors (the population attributable fraction (PAF)) informs the design and choice of dementia risk-reduction activities. It is directly ... ...

    Abstract Estimating the fraction of dementia cases in a population attributable to a risk factor or combination of risk factors (the population attributable fraction (PAF)) informs the design and choice of dementia risk-reduction activities. It is directly relevant to dementia prevention policy and practice. Current methods employed widely in the dementia literature to combine PAFs for multiple dementia risk factors assume a multiplicative relationship between factors and rely on subjective criteria to develop weightings for risk factors. In this paper we present an alternative approach to calculating the PAF based on sums of individual risk. It incorporates individual risk factor interrelationships and enables a range of assumptions about the way in which multiple risk factors will combine to affect dementia risk. Applying this method to global data demonstrates that the previous estimate of 40% is potentially too conservative an estimate of modifiable dementia risk and would necessitate subadditive interaction between risk factors. We calculate a plausible conservative estimate of 55.7% (95% confidence interval: 55.2, 56.1) based on additive risk factor interaction.
    MeSH term(s) Humans ; Risk Factors ; Risk Reduction Behavior ; Dementia/epidemiology ; Dementia/etiology
    Language English
    Publishing date 2023-06-16
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2937-3
    ISSN 1476-6256 ; 0002-9262
    ISSN (online) 1476-6256
    ISSN 0002-9262
    DOI 10.1093/aje/kwad138
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Elective spinal surgery in New South Wales adults, 2001-20, by procedure funding type: a cross-sectional study.

    Tran, Duong Thuy / Lewin, Adriane M / Jorm, Louisa / Harris, Ian A

    The Medical journal of Australia

    2023  Volume 219, Issue 7, Page(s) 303–309

    Abstract: Objective: To investigate elective rates of spinal fusion, decompression, and disc replacement procedures for people with degenerative conditions, by funding type (public, private, workers' compensation).: Design, setting: Cross-sectional study; ... ...

    Abstract Objective: To investigate elective rates of spinal fusion, decompression, and disc replacement procedures for people with degenerative conditions, by funding type (public, private, workers' compensation).
    Design, setting: Cross-sectional study; analysis of hospitals admissions data extracted from the New South Wales Admitted Patient Data Collection.
    Participants: All adults who underwent elective spinal surgery (spinal fusion, decompression, disc replacement) in NSW, 1 July 2001 - 30 June 2020.
    Main outcome measures: Crude and age- and sex-adjusted procedure rates, by procedure, funding type, and year; annual change in rates, 2001-20, expressed as incidence rate ratios (IRRs).
    Results: During 2001-20, 155 088 procedures in 129 525 adults were eligible for our analysis: 53 606 fusion, 100 225 decompression, and 1257 disc replacement procedures. The privately funded fusion procedure rate increased from 26.6 to 109.5 per 100 000 insured adults (per year: IRR, 1.06; 95% confidence interval [CI], 1.05-1.07); the workers' compensation procedure rate increased from 6.1 to 15.8 per 100 000 covered adults (IRR, 1.04; 95% CI, 1.01-1.06); the publicly funded procedure rate increased from 5.6 to 12.4 per 100 000 adults (IRR, 1.03; 95% CI, 1.01-1.06), and from 10.5 to 22.1 per 100 000 adults without hospital cover private health insurance (IRR, 1.03; 95% CI, 1.01-1.05). The privately funded decompression procedure rate increased from 93.4 to 153.6 per 100 000 people (IRR, 1.02; 95% CI, 1.01-1.03); the workers' compensation procedure rate declined from 19.7 to 16.7 per 100 000 people (IRR, 0.98; 95% CI, 0.96-0.99), and the publicly funded procedure rate did not change significantly. The privately funded disc replacement procedure rate increased from 6.2 per million in 2010-11 to 38.4 per million people in 2019-20, but did not significantly change for the other two funding groups. The age- and sex-adjusted rates for privately and publicly funded fusion and decompression procedures were similar to the crude rates.
    Conclusions: Privately funded spinal surgery rates continue to be larger than for publicly funded procedures, and they have also increased more rapidly. These differences may indicate that some privately funded procedures are unnecessary, or that the number of publicly funded procedures does not reflect clinical need.
    MeSH term(s) Humans ; Adult ; Cross-Sectional Studies ; New South Wales/epidemiology ; Insurance, Health ; Workers' Compensation ; Hospitalization
    Language English
    Publishing date 2023-07-21
    Publishing country Australia
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 186082-3
    ISSN 1326-5377 ; 0025-729X
    ISSN (online) 1326-5377
    ISSN 0025-729X
    DOI 10.5694/mja2.52046
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Routinely collected data as a strategic resource for research: priorities for methods and workforce.

    Jorm, Louisa

    Public health research & practice

    2015  Volume 25, Issue 4, Page(s) e2541540

    Abstract: In the era of 'big data', research using routinely collected data offers greater potential than ever before to drive health system effectiveness and efficiency, and population health improvement. In Australia, the policy environment, and emerging ... ...

    Abstract In the era of 'big data', research using routinely collected data offers greater potential than ever before to drive health system effectiveness and efficiency, and population health improvement. In Australia, the policy environment, and emerging frameworks and processes for data governance and access, increasingly support the use of routinely collected data for research. Capitalising on this strategic resource requires investment in both research methods and research workforce. Priorities for methods development include validation studies, techniques for analysing complex longitudinal data, exploration of bias introduced through linkage error, and a robust toolkit to evaluate policies and programs using 'natural experiments'. Priorities for workforce development include broadening the skills base of the existing research workforce, and the formation of new, larger, interdisciplinary research teams to incorporate capabilities in computer science, partnership research, research translation and the 'business' aspects of research. Large-scale, long-term partnership approaches involving government, industry and researchers offer the most promising way to maximise returns on investment in research using routinely collected data.
    MeSH term(s) Australia ; Data Collection/methods ; Health Resources ; Humans ; Public Health/methods ; Research Design ; Statistics as Topic/methods
    Language English
    Publishing date 2015-09-30
    Publishing country Australia
    Document type Journal Article
    ISSN 2204-2091
    ISSN (online) 2204-2091
    DOI 10.17061/phrp2541540
    Database MEDical Literature Analysis and Retrieval System OnLINE

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