What can we learn about breathlessness from population-based and administrative health data?
Ekström, Magnus LU
(2016)
In Current Opinion in Supportive and Palliative Care
10(3).
p.223-227
- Abstract
Purpose of review To review the findings and methodological strengths and limitations of studies of breathlessness using population-based or routinely collected data, including the novel methodology of the registry-based randomized controlled trial (R-RCT). Recent findings Breathlessness severe enough to restrict activity is common and increases in the last months of life both among elderly in the community and among patients in specialized palliative care. During the last week of life, risk factors for more severe breathlessness have been identified. Patients with advanced chronic obstructive or interstitial lung disease experience more breathlessness than patients dying from lung cancer. Breathlessness often remains unrelieved or only... (More)
Purpose of review To review the findings and methodological strengths and limitations of studies of breathlessness using population-based or routinely collected data, including the novel methodology of the registry-based randomized controlled trial (R-RCT). Recent findings Breathlessness severe enough to restrict activity is common and increases in the last months of life both among elderly in the community and among patients in specialized palliative care. During the last week of life, risk factors for more severe breathlessness have been identified. Patients with advanced chronic obstructive or interstitial lung disease experience more breathlessness than patients dying from lung cancer. Breathlessness often remains unrelieved or only partially relieved at the end of life. Summary Data from population-based or health-administrative databases can inform on the epidemiology, associated factors and the potential impact of breathlessness. Potential strengths of these data are high precision and generalizability because of large, nonselective study populations with high completeness of follow-up of outcomes such as survival. Potential limitations include residual confounding and insufficient data quality which is unaffected by increasing the sample size. The R-RCT methodology combines strengths of randomization with those of large representative databases to evaluate effectiveness in clinical care.
(Less)
- author
- Ekström, Magnus
LU
- organization
- publishing date
- 2016-09-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- dyspnea, epidemiology, palliative care, registry
- in
- Current Opinion in Supportive and Palliative Care
- volume
- 10
- issue
- 3
- pages
- 223 - 227
- publisher
- Lippincott Williams & Wilkins
- external identifiers
-
- pmid:27489182
- wos:000380870600007
- scopus:84981229340
- ISSN
- 1751-4258
- DOI
- 10.1097/SPC.0000000000000220
- language
- English
- LU publication?
- yes
- id
- 8add79ab-67e2-472b-b59d-d82622088973
- date added to LUP
- 2016-09-01 16:18:16
- date last changed
- 2024-01-04 11:53:27
@article{8add79ab-67e2-472b-b59d-d82622088973,
abstract = {{<p>Purpose of review To review the findings and methodological strengths and limitations of studies of breathlessness using population-based or routinely collected data, including the novel methodology of the registry-based randomized controlled trial (R-RCT). Recent findings Breathlessness severe enough to restrict activity is common and increases in the last months of life both among elderly in the community and among patients in specialized palliative care. During the last week of life, risk factors for more severe breathlessness have been identified. Patients with advanced chronic obstructive or interstitial lung disease experience more breathlessness than patients dying from lung cancer. Breathlessness often remains unrelieved or only partially relieved at the end of life. Summary Data from population-based or health-administrative databases can inform on the epidemiology, associated factors and the potential impact of breathlessness. Potential strengths of these data are high precision and generalizability because of large, nonselective study populations with high completeness of follow-up of outcomes such as survival. Potential limitations include residual confounding and insufficient data quality which is unaffected by increasing the sample size. The R-RCT methodology combines strengths of randomization with those of large representative databases to evaluate effectiveness in clinical care.</p>}},
author = {{Ekström, Magnus}},
issn = {{1751-4258}},
keywords = {{dyspnea; epidemiology; palliative care; registry}},
language = {{eng}},
month = {{09}},
number = {{3}},
pages = {{223--227}},
publisher = {{Lippincott Williams & Wilkins}},
series = {{Current Opinion in Supportive and Palliative Care}},
title = {{What can we learn about breathlessness from population-based and administrative health data?}},
url = {{http://dx.doi.org/10.1097/SPC.0000000000000220}},
doi = {{10.1097/SPC.0000000000000220}},
volume = {{10}},
year = {{2016}},
}