Michael O Falster
Biographic Data
| ID | 5538768 |
|---|---|
| NAME | Michael O Falster |
| GIVEN NAMES | Michael |
| FAMILY NAME | O Falster |
| SIGNATURE | FALSTER M O |
| AFFILIATIONS | Beyondblue |
| ORCID | 0000-0001-6444-7272 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
In-hospital outcomes by insurance type among patients undergoing percutaneous coronary interventions for acute myocardial infarction in New South Wales public hospitals
Our findings suggest patients undergoing PCI in Australian public hospitals with private health insurance experience lower in-hospital mortality compared with their publicly insured counterparts, but in-hospital complications are not related to patient health insurance status. Our findings are likely due to unmeasured confounding of broader patient selection, socioeconomic differences and pathways of care (e.g. access to emergency and ambulatory …
Inequalities in Hospitalized Unintentional Injury Between Aboriginal and Non-Aboriginal Children in New South Wales, Australia
Objectives. To quantify inequalities in rates of unintentional injury–related hospitalizations between Australian Aboriginal and non-Aboriginal children. Methods. We used linked hospital and mortality data to construct a retrospective whole-of-population birth cohort including 1 124 717 children born in the state of New South Wales, Australia, between July 1, 2000 and December 31, 2012. We adjusted hazard ratios (HRs) of first injury hospitalizat…
Sociodemographic and Health Characteristics, Rather Than Primary Care Supply, are Major Drivers of Geographic Variation in Preventable Hospitalizations in Australia
BACKGROUND: Geographic rates of preventable hospitalization are used internationally as an indicator of accessibility and quality of primary care. Much research has correlated the indicator with the supply of primary care services, yet multiple other factors may influence these admissions. OBJECTIVE: To quantify the relative contributions of the supply of general practitioners (GPs) and personal sociodemographic and health characteristics, to geo…
OP08 Using Linked Administrative Data and Multilevel Modelling to Identify Targets for Interventions to Tackle Health Disparities
Background Linked administrative data for whole populations, combined with multilevel modelling methods, offers a powerful approach to identifying targets for tackling health disparities. Two studies will be presented, examining disparities between Australian Aboriginal and non-Aboriginal people, in very different outcomes: (i) revascularisation and mortality after acute myocardial infarction (AMI); and (ii) rates of serious road traffic injury. …
Inequalities in Hospitalized Unintentional Injury Between Aboriginal and Non-Aboriginal Children in New South Wales, Australia
Objectives. To quantify inequalities in rates of unintentional injury–related hospitalizations between Australian Aboriginal and non-Aboriginal children. Methods. We used linked hospital and mortality data to construct a retrospective whole-of-population birth cohort including 1 124 717 children born in the state of New South Wales, Australia, between July 1, 2000 and December 31, 2012. We adjusted hazard ratios (HRs) of first injury hospitalizat…
OP08 Using Linked Administrative Data and Multilevel Modelling to Identify Targets for Interventions to Tackle Health Disparities
Background Linked administrative data for whole populations, combined with multilevel modelling methods, offers a powerful approach to identifying targets for tackling health disparities. Two studies will be presented, examining disparities between Australian Aboriginal and non-Aboriginal people, in very different outcomes: (i) revascularisation and mortality after acute myocardial infarction (AMI); and (ii) rates of serious road traffic injury. …
OP08 Using Linked Administrative Data and Multilevel Modelling to Identify Targets for Interventions to Tackle Health Disparities
Background Linked administrative data for whole populations, combined with multilevel modelling methods, offers a powerful approach to identifying targets for tackling health disparities. Two studies will be presented, examining disparities between Australian Aboriginal and non-Aboriginal people, in very different outcomes: (i) revascularisation and mortality after acute myocardial infarction (AMI); and (ii) rates of serious road traffic injury. …
Sociodemographic and Health Characteristics, Rather Than Primary Care Supply, are Major Drivers of Geographic Variation in Preventable Hospitalizations in Australia
BACKGROUND: Geographic rates of preventable hospitalization are used internationally as an indicator of accessibility and quality of primary care. Much research has correlated the indicator with the supply of primary care services, yet multiple other factors may influence these admissions. OBJECTIVE: To quantify the relative contributions of the supply of general practitioners (GPs) and personal sociodemographic and health characteristics, to geo…
Inequalities in Hospitalized Unintentional Injury Between Aboriginal and Non-Aboriginal Children in New South Wales, Australia
Objectives. To quantify inequalities in rates of unintentional injury–related hospitalizations between Australian Aboriginal and non-Aboriginal children. Methods. We used linked hospital and mortality data to construct a retrospective whole-of-population birth cohort including 1 124 717 children born in the state of New South Wales, Australia, between July 1, 2000 and December 31, 2012. We adjusted hazard ratios (HRs) of first injury hospitalizat…
In-hospital outcomes by insurance type among patients undergoing percutaneous coronary interventions for acute myocardial infarction in New South Wales public hospitals
Our findings suggest patients undergoing PCI in Australian public hospitals with private health insurance experience lower in-hospital mortality compared with their publicly insured counterparts, but in-hospital complications are not related to patient health insurance status. Our findings are likely due to unmeasured confounding of broader patient selection, socioeconomic differences and pathways of care (e.g. access to emergency and ambulatory …
Medicine (4 works) · Demography (3 works) · Emergency Medicine (3 works) · Environmental health (3 works) · Internal Medicine (3 works) · Population (3 works) · Chronic Disease Management Strategies (2 works) · Cohort (2 works) · Confidence interval (2 works) · Emergency Medicine (2 works)