Development and Validation of a Risk Prediction Model to Identify Women With Chronic Obstructive Pulmonary Disease for Proactive Palliative Care

Our prediction model for identifying women with COPD who may benefit from palliative care has shown robust predictive performance and can be easily applied, but requires external validation.

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Publication Details

Journal
Respirology
Published
2025-02-16
DOI
https://doi.org/10.1111/resp.70005
Citations
2
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
3.04

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article

Development and Validation of a Risk Prediction Model to Identify Women With Chronic Obstructive Pulmonary Disease for Proactive Palliative Care

Begashaw Melaku Gebresillassie, Dominic Cavenagh, John Attia, Melissa L. Harris
2 citations
Respirology
Chronic Obstructive Pulmonary Disease (COPD) Research
3.04
article

Development and Validation of a Risk Prediction Model to Identify Women With Chronic Obstructive Pulmonary Disease for Proactive Palliative Care

Begashaw Melaku Gebresillassie, Dominic Cavenagh, John Attia, Melissa L. Harris
article en
2 citations

Abstract

Our prediction model for identifying women with COPD who may benefit from palliative care has shown robust predictive performance and can be easily applied, but requires external validation.

RespirologyVol. 30(7)
Hunter Medical Research Institute (AU), University of Newcastle Australia (AU)
Queensland Health, Australian Government, Department of Health, State Government of Victoria, Department of Health and Aged Care, Australian Government, NSW Ministry of Health
Good health and well-being
Openalex Percentile: Top 11%
Chronic Obstructive Pulmonary Disease (COPD) Research
3.04
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