Literature DB >> 28440123

Delivering care to those in need: Improving palliative care using linked data.

Peter Tanuseputro1,2,3,4.   

Abstract

Mesh：

Year:  2017        PMID： 28440123     DOI： 10.1177/0269216317704629

Source DB:  PubMed          Journal:  Palliat Med        ISSN： 0269-2163            Impact factor:   4.762


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  11 in total

1.  "We're Taking Something So Human and Trying to Digitize": Provider Recommendations for mHealth in Palliative Care.

Authors:  Jennifer Dickman Portz; Kelsey Ford; David B Bekelman; Rebecca S Boxer; Jean S Kutner; Sara Czaja; Kira Elsbernd; Sheana Bull
Journal:  J Palliat Med       Date:  2019-09-17       Impact factor: 2.947

2.  Big Data analysis to improve care for people living with serious illness: The potential to use new emerging technology in palliative care.

Authors:  Amara Callistus Nwosu; Brendan Collins; Stephen Mason
Journal:  Palliat Med       Date:  2017-08-14       Impact factor: 4.762

3.  Access to palliative care by disease trajectory: a population-based cohort of Ontario decedents.

Authors:  Hsien Seow; Erin O'Leary; Richard Perez; Peter Tanuseputro
Journal:  BMJ Open       Date:  2018-04-05       Impact factor: 2.692

4.  How are physicians delivering palliative care? A population-based retrospective cohort study describing the mix of generalist and specialist palliative care models in the last year of life.

Authors:  Catherine Rl Brown; Amy T Hsu; Claire Kendall; Denise Marshall; Jose Pereira; Michelle Prentice; Jill Rice; Hsien-Yeang Seow; Glenys A Smith; Irene Ying; Peter Tanuseputro
Journal:  Palliat Med       Date:  2018-06-11       Impact factor: 4.762

5.  Place of Care Trajectories in the Last Two Weeks of Life: A Population-Based Cohort Study of Ontario Decedents.

Authors:  Danial Qureshi; Peter Tanuseputro; Richard Perez; Hsien Seow
Journal:  J Palliat Med       Date:  2018-07-16       Impact factor: 2.947

6.  Early initiation of palliative care is associated with reduced late-life acute-hospital use: A population-based retrospective cohort study.

Authors:  Danial Qureshi; Peter Tanuseputro; Richard Perez; Greg R Pond; Hsien-Yeang Seow
Journal:  Palliat Med       Date:  2018-12-03       Impact factor: 4.762

7.  Improving palliative and end-of-life care with machine learning and routine data: a rapid review.

Authors:  Virginia Storick; Aoife O'Herlihy; Sarah Abdelhafeez; Rakesh Ahmed; Peter May
Journal:  HRB Open Res       Date:  2019-07-15

8.  Using linked administrative health data for palliative and end of life care research in Ireland: potential and challenges.

Authors:  Maria Kelly; Katie O'Brien; Ailish Hannigan
Journal:  HRB Open Res       Date:  2021-02-09

9.  Indicators for early assessment of palliative care in lung cancer patients: a population study using linked health data.

Authors:  Maria Kelly; Katie M O'Brien; Michael Lucey; Kerri Clough-Gorr; Ailish Hannigan
Journal:  BMC Palliat Care       Date:  2018-02-26       Impact factor: 3.234

10.  Opportunities for public involvement in big data research in palliative and end-of-life care.

Authors:  Halle Johnson; Joanna M Davies; Javiera Leniz; Emeka Chukwusa; Sarah Markham; Katherine E Sleeman
Journal:  Palliat Med       Date:  2021-03-24       Impact factor: 4.762
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