Alan J Forster

Dados Biográficos

ID	5538869
NOME	Alan J Forster
PRENOMES	Alan J
SOBRENOME	Forster
ASSINATURA	FORSTER A J
AFILIAÇÕES	University of Ottawa
ORCID	0000-0003-2942-2891
VERIFICADO	Sim
TOTAL DE OBRAS	5
TOTAL DE CITAÇÕES	0
TOTAL COMO AUTOR	5
TOTAL COMO EDITOR	0
PRIMEIRO ANO DE PUBLICAÇÃO	2009
ANO MAIS RECENTE DE PUBLICAÇÃO	2019
ÍNDICE H	0

Potential harms associated with routine collection of patient sociodemographic information
Open AccessJennifer Petkovic, Stephanie L Duench et al.ARTICLEHealth Expectations2019
Problems with precaution
Kumanan Wilson, Katherine Atkinson et al.ARTICLEJournal of Risk Research2017Referências: 3
The precautionary principle is a dominant paradigm governing risk-based decision-making. Today, there are increasing pressures to re-examine aggressive precautionary approaches, and to assess how the principle should be applied in the modern system. In this paper, we examined three key applications of precautionary approaches in the field of transfusion medicine to provide insight into the risks and benefits of these approaches. The three case st…
Deriving ICD-10 Codes for Patient Safety Indicators for Large-scale Surveillance Using Administrative Hospital Data
Danielle A Southern, Bernard Burnand et al.ARTICLEMedical Care2017Referências: 19
BACKGROUND: Existing administrative data patient safety indicators (PSIs) have been limited by uncertainty around the timing of onset of included diagnoses. OBJECTIVE: We undertook de novo PSI development through a data-driven approach that drew upon "diagnosis timing" information available in some countries' administrative hospital data. RESEARCH DESIGN: Administrative database analysis and modified Delphi rating process. SUBJECTS: All hospitali…
Derivation and Validation of a Model to Predict Daily Risk of Death in Hospital
Jenna Wong, Monica Taljaard et al.ARTICLEMedical Care2011Referências: 16
BACKGROUND: As electronic patient data from automated hospital databases become increasingly available, it is important to explore the ways in which these data could be used for the purposes other than patient care, such as quality assurance and improvement. OBJECTIVE: To determine if information from automated patient databases can be used to derive a model that can predict patients' daily risk of death in hospital. Such a model could be used to…
A Modification of the Elixhauser Comorbidity Measures Into a Point System for Hospital Death Using Administrative Data
Carl van Walraven, Peter C Austin et al.ARTICLEMedical Care2009Referências: 16
BACKGROUND: Comorbidity measures are necessary to describe patient populations and adjust for confounding. In direct comparisons, studies have found the Elixhauser comorbidity system to be statistically slightly superior to the Charlson comorbidity system at adjusting for comorbidity. However, the Elixhauser classification system requires 30 binary variables, making its use for reporting and analysis of comorbidity cumbersome. OBJECTIVE: Modify t…

A Modification of the Elixhauser Comorbidity Measures Into a Point System for Hospital Death Using Administrative Data
Carl van Walraven, Peter C Austin et al.ARTICLEMedical Care2009Referências: 16
BACKGROUND: Comorbidity measures are necessary to describe patient populations and adjust for confounding. In direct comparisons, studies have found the Elixhauser comorbidity system to be statistically slightly superior to the Charlson comorbidity system at adjusting for comorbidity. However, the Elixhauser classification system requires 30 binary variables, making its use for reporting and analysis of comorbidity cumbersome. OBJECTIVE: Modify t…
Derivation and Validation of a Model to Predict Daily Risk of Death in Hospital
Jenna Wong, Monica Taljaard et al.ARTICLEMedical Care2011Referências: 16
BACKGROUND: As electronic patient data from automated hospital databases become increasingly available, it is important to explore the ways in which these data could be used for the purposes other than patient care, such as quality assurance and improvement. OBJECTIVE: To determine if information from automated patient databases can be used to derive a model that can predict patients' daily risk of death in hospital. Such a model could be used to…
Problems with precaution
Kumanan Wilson, Katherine Atkinson et al.ARTICLEJournal of Risk Research2017Referências: 3
The precautionary principle is a dominant paradigm governing risk-based decision-making. Today, there are increasing pressures to re-examine aggressive precautionary approaches, and to assess how the principle should be applied in the modern system. In this paper, we examined three key applications of precautionary approaches in the field of transfusion medicine to provide insight into the risks and benefits of these approaches. The three case st…
Deriving ICD-10 Codes for Patient Safety Indicators for Large-scale Surveillance Using Administrative Hospital Data
Danielle A Southern, Bernard Burnand et al.ARTICLEMedical Care2017Referências: 19
BACKGROUND: Existing administrative data patient safety indicators (PSIs) have been limited by uncertainty around the timing of onset of included diagnoses. OBJECTIVE: We undertook de novo PSI development through a data-driven approach that drew upon "diagnosis timing" information available in some countries' administrative hospital data. RESEARCH DESIGN: Administrative database analysis and modified Delphi rating process. SUBJECTS: All hospitali…
Potential harms associated with routine collection of patient sociodemographic information
Open AccessJennifer Petkovic, Stephanie L Duench et al.ARTICLEHealth Expectations2019