Disability weights for the Global Burden of Disease 2013 study

The Global Burden of Disease (GBD) study assesses health losses from diseases, injuries, and risk factors using disability-adjusted life-years, which need a set of disability weights to quantify health levels associated with non-fatal outcomes. The objective of this study was to estimate disability...

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Published in:The Lancet global health Vol. 3; no. 11; pp. e712 - e723
Main Authors: Salomon, Joshua A, Haagsma, Juanita A, Davis, Adrian, de Noordhout, Charline Maertens, Polinder, Suzanne, Havelaar, Arie H, Cassini, Alessandro, Devleesschauwer, Brecht, Kretzschmar, Mirjam, Speybroeck, Niko, Murray, Christopher J L, Vos, Theo
Format: Journal Article
Language:English
Published: England Elsevier Ltd 01.11.2015
Elsevier
Subjects:
Adolescent
Adult
Aged
Cost of Illness
Disability Evaluation
Europe
Female
Health Status
Humans
Internal Medicine
Male
Middle Aged
Quality-Adjusted Life Years
Regression Analysis
Young Adult
Europe
ISSN:2214-109X, 2214-109X
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Abstract The Global Burden of Disease (GBD) study assesses health losses from diseases, injuries, and risk factors using disability-adjusted life-years, which need a set of disability weights to quantify health levels associated with non-fatal outcomes. The objective of this study was to estimate disability weights for the GBD 2013 study. We analysed data from new web-based surveys of participants aged 18–65 years, completed in four European countries (Hungary, Italy, the Netherlands, and Sweden) between Sept 23, 2013, and Nov 11, 2013, combined with data previously collected in the GBD 2010 disability weights measurement study. Surveys used paired comparison questions for which respondents considered two hypothetical individuals with different health states and specified which person they deemed healthier than the other. These surveys covered 183 health states pertinent to GBD 2013; of these states, 30 were presented with descriptions revised from previous versions and 18 were new to GBD 2013. We analysed paired comparison data using probit regression analysis and rescaled results to disability weight units between 0 (no loss of health) and 1 (loss equivalent to death). We compared results with previous estimates, and an additional analysis examined sensitivity of paired comparison responses to duration of hypothetical health states. The total analysis sample consisted of 30 230 respondents from the GBD 2010 surveys and 30 660 from the new European surveys. For health states common to GBD 2010 and GBD 2013, results were highly correlated overall (Pearson's r 0·992 [95% uncertainty interval 0·989–0·994]). For health state descriptions that were revised for this study, resulting disability weights were substantially different for a subset of these weights, including those related to hearing loss (eg, complete hearing loss: GBD 2010 0·033 [0·020–0·052]; GBD 2013 0·215 [0·144–0·307]) and treated spinal cord lesions (below the neck: GBD 2010 0·047 [0·028–0·072]; GBD 2013 0·296 [0·198–0·414]; neck level: GBD 2010 0·369 [0·243–0·513]; GBD 2013 0·589 [0·415–0·748]). Survey responses to paired comparison questions were insensitive to whether the comparisons were framed in terms of temporary or chronic outcomes (Pearson's r 0·981 [0·973–0·987]). This study substantially expands the empirical basis for assessment of non-fatal outcomes in the GBD study. Findings from this study substantiate the notion that disability weights are sensitive to particular details in descriptions of health states, but robust to duration of outcomes. European Centre for Disease Prevention and Control, Bill and Melinda Gates Foundation.
AbstractList The Global Burden of Disease (GBD) study assesses health losses from diseases, injuries, and risk factors using disability-adjusted life-years, which need a set of disability weights to quantify health levels associated with non-fatal outcomes. The objective of this study was to estimate disability weights for the GBD 2013 study. We analysed data from new web-based surveys of participants aged 18–65 years, completed in four European countries (Hungary, Italy, the Netherlands, and Sweden) between Sept 23, 2013, and Nov 11, 2013, combined with data previously collected in the GBD 2010 disability weights measurement study. Surveys used paired comparison questions for which respondents considered two hypothetical individuals with different health states and specified which person they deemed healthier than the other. These surveys covered 183 health states pertinent to GBD 2013; of these states, 30 were presented with descriptions revised from previous versions and 18 were new to GBD 2013. We analysed paired comparison data using probit regression analysis and rescaled results to disability weight units between 0 (no loss of health) and 1 (loss equivalent to death). We compared results with previous estimates, and an additional analysis examined sensitivity of paired comparison responses to duration of hypothetical health states. The total analysis sample consisted of 30 230 respondents from the GBD 2010 surveys and 30 660 from the new European surveys. For health states common to GBD 2010 and GBD 2013, results were highly correlated overall (Pearson's r 0·992 [95% uncertainty interval 0·989–0·994]). For health state descriptions that were revised for this study, resulting disability weights were substantially different for a subset of these weights, including those related to hearing loss (eg, complete hearing loss: GBD 2010 0·033 [0·020–0·052]; GBD 2013 0·215 [0·144–0·307]) and treated spinal cord lesions (below the neck: GBD 2010 0·047 [0·028–0·072]; GBD 2013 0·296 [0·198–0·414]; neck level: GBD 2010 0·369 [0·243–0·513]; GBD 2013 0·589 [0·415–0·748]). Survey responses to paired comparison questions were insensitive to whether the comparisons were framed in terms of temporary or chronic outcomes (Pearson's r 0·981 [0·973–0·987]). This study substantially expands the empirical basis for assessment of non-fatal outcomes in the GBD study. Findings from this study substantiate the notion that disability weights are sensitive to particular details in descriptions of health states, but robust to duration of outcomes. European Centre for Disease Prevention and Control, Bill and Melinda Gates Foundation.
The Global Burden of Disease (GBD) study assesses health losses from diseases, injuries, and risk factors using disability-adjusted life-years, which need a set of disability weights to quantify health levels associated with non-fatal outcomes. The objective of this study was to estimate disability weights for the GBD 2013 study.BACKGROUNDThe Global Burden of Disease (GBD) study assesses health losses from diseases, injuries, and risk factors using disability-adjusted life-years, which need a set of disability weights to quantify health levels associated with non-fatal outcomes. The objective of this study was to estimate disability weights for the GBD 2013 study.We analysed data from new web-based surveys of participants aged 18-65 years, completed in four European countries (Hungary, Italy, the Netherlands, and Sweden) between Sept 23, 2013, and Nov 11, 2013, combined with data previously collected in the GBD 2010 disability weights measurement study. Surveys used paired comparison questions for which respondents considered two hypothetical individuals with different health states and specified which person they deemed healthier than the other. These surveys covered 183 health states pertinent to GBD 2013; of these states, 30 were presented with descriptions revised from previous versions and 18 were new to GBD 2013. We analysed paired comparison data using probit regression analysis and rescaled results to disability weight units between 0 (no loss of health) and 1 (loss equivalent to death). We compared results with previous estimates, and an additional analysis examined sensitivity of paired comparison responses to duration of hypothetical health states.METHODSWe analysed data from new web-based surveys of participants aged 18-65 years, completed in four European countries (Hungary, Italy, the Netherlands, and Sweden) between Sept 23, 2013, and Nov 11, 2013, combined with data previously collected in the GBD 2010 disability weights measurement study. Surveys used paired comparison questions for which respondents considered two hypothetical individuals with different health states and specified which person they deemed healthier than the other. These surveys covered 183 health states pertinent to GBD 2013; of these states, 30 were presented with descriptions revised from previous versions and 18 were new to GBD 2013. We analysed paired comparison data using probit regression analysis and rescaled results to disability weight units between 0 (no loss of health) and 1 (loss equivalent to death). We compared results with previous estimates, and an additional analysis examined sensitivity of paired comparison responses to duration of hypothetical health states.The total analysis sample consisted of 30 230 respondents from the GBD 2010 surveys and 30 660 from the new European surveys. For health states common to GBD 2010 and GBD 2013, results were highly correlated overall (Pearson's r 0·992 [95% uncertainty interval 0·989-0·994]). For health state descriptions that were revised for this study, resulting disability weights were substantially different for a subset of these weights, including those related to hearing loss (eg, complete hearing loss: GBD 2010 0·033 [0·020-0·052]; GBD 2013 0·215 [0·144-0·307]) and treated spinal cord lesions (below the neck: GBD 2010 0·047 [0·028-0·072]; GBD 2013 0·296 [0·198-0·414]; neck level: GBD 2010 0·369 [0·243-0·513]; GBD 2013 0·589 [0·415-0·748]). Survey responses to paired comparison questions were insensitive to whether the comparisons were framed in terms of temporary or chronic outcomes (Pearson's r 0·981 [0·973-0·987]).FINDINGSThe total analysis sample consisted of 30 230 respondents from the GBD 2010 surveys and 30 660 from the new European surveys. For health states common to GBD 2010 and GBD 2013, results were highly correlated overall (Pearson's r 0·992 [95% uncertainty interval 0·989-0·994]). For health state descriptions that were revised for this study, resulting disability weights were substantially different for a subset of these weights, including those related to hearing loss (eg, complete hearing loss: GBD 2010 0·033 [0·020-0·052]; GBD 2013 0·215 [0·144-0·307]) and treated spinal cord lesions (below the neck: GBD 2010 0·047 [0·028-0·072]; GBD 2013 0·296 [0·198-0·414]; neck level: GBD 2010 0·369 [0·243-0·513]; GBD 2013 0·589 [0·415-0·748]). Survey responses to paired comparison questions were insensitive to whether the comparisons were framed in terms of temporary or chronic outcomes (Pearson's r 0·981 [0·973-0·987]).This study substantially expands the empirical basis for assessment of non-fatal outcomes in the GBD study. Findings from this study substantiate the notion that disability weights are sensitive to particular details in descriptions of health states, but robust to duration of outcomes.INTERPRETATIONThis study substantially expands the empirical basis for assessment of non-fatal outcomes in the GBD study. Findings from this study substantiate the notion that disability weights are sensitive to particular details in descriptions of health states, but robust to duration of outcomes.European Centre for Disease Prevention and Control, Bill and Melinda Gates Foundation.FUNDINGEuropean Centre for Disease Prevention and Control, Bill and Melinda Gates Foundation.
Summary Background The Global Burden of Disease (GBD) study assesses health losses from diseases, injuries, and risk factors using disability-adjusted life-years, which need a set of disability weights to quantify health levels associated with non-fatal outcomes. The objective of this study was to estimate disability weights for the GBD 2013 study. Methods We analysed data from new web-based surveys of participants aged 18–65 years, completed in four European countries (Hungary, Italy, the Netherlands, and Sweden) between Sept 23, 2013, and Nov 11, 2013, combined with data previously collected in the GBD 2010 disability weights measurement study. Surveys used paired comparison questions for which respondents considered two hypothetical individuals with different health states and specified which person they deemed healthier than the other. These surveys covered 183 health states pertinent to GBD 2013; of these states, 30 were presented with descriptions revised from previous versions and 18 were new to GBD 2013. We analysed paired comparison data using probit regression analysis and rescaled results to disability weight units between 0 (no loss of health) and 1 (loss equivalent to death). We compared results with previous estimates, and an additional analysis examined sensitivity of paired comparison responses to duration of hypothetical health states. Findings The total analysis sample consisted of 30 230 respondents from the GBD 2010 surveys and 30 660 from the new European surveys. For health states common to GBD 2010 and GBD 2013, results were highly correlated overall (Pearson's r 0·992 [95% uncertainty interval 0·989–0·994]). For health state descriptions that were revised for this study, resulting disability weights were substantially different for a subset of these weights, including those related to hearing loss (eg, complete hearing loss: GBD 2010 0·033 [0·020–0·052]; GBD 2013 0·215 [0·144–0·307]) and treated spinal cord lesions (below the neck: GBD 2010 0·047 [0·028–0·072]; GBD 2013 0·296 [0·198–0·414]; neck level: GBD 2010 0·369 [0·243–0·513]; GBD 2013 0·589 [0·415–0·748]). Survey responses to paired comparison questions were insensitive to whether the comparisons were framed in terms of temporary or chronic outcomes (Pearson's r 0·981 [0·973–0·987]). Interpretation This study substantially expands the empirical basis for assessment of non-fatal outcomes in the GBD study. Findings from this study substantiate the notion that disability weights are sensitive to particular details in descriptions of health states, but robust to duration of outcomes. Funding European Centre for Disease Prevention and Control , Bill and Melinda Gates Foundation.
Background: The Global Burden of Disease (GBD) study assesses health losses from diseases, injuries, and risk factors using disability-adjusted life-years, which need a set of disability weights to quantify health levels associated with non-fatal outcomes. The objective of this study was to estimate disability weights for the GBD 2013 study. Methods: We analysed data from new web-based surveys of participants aged 18–65 years, completed in four European countries (Hungary, Italy, the Netherlands, and Sweden) between Sept 23, 2013, and Nov 11, 2013, combined with data previously collected in the GBD 2010 disability weights measurement study. Surveys used paired comparison questions for which respondents considered two hypothetical individuals with different health states and specified which person they deemed healthier than the other. These surveys covered 183 health states pertinent to GBD 2013; of these states, 30 were presented with descriptions revised from previous versions and 18 were new to GBD 2013. We analysed paired comparison data using probit regression analysis and rescaled results to disability weight units between 0 (no loss of health) and 1 (loss equivalent to death). We compared results with previous estimates, and an additional analysis examined sensitivity of paired comparison responses to duration of hypothetical health states. Findings: The total analysis sample consisted of 30 230 respondents from the GBD 2010 surveys and 30 660 from the new European surveys. For health states common to GBD 2010 and GBD 2013, results were highly correlated overall (Pearson's r 0·992 [95% uncertainty interval 0·989–0·994]). For health state descriptions that were revised for this study, resulting disability weights were substantially different for a subset of these weights, including those related to hearing loss (eg, complete hearing loss: GBD 2010 0·033 [0·020–0·052]; GBD 2013 0·215 [0·144–0·307]) and treated spinal cord lesions (below the neck: GBD 2010 0·047 [0·028–0·072]; GBD 2013 0·296 [0·198–0·414]; neck level: GBD 2010 0·369 [0·243–0·513]; GBD 2013 0·589 [0·415–0·748]). Survey responses to paired comparison questions were insensitive to whether the comparisons were framed in terms of temporary or chronic outcomes (Pearson's r 0·981 [0·973–0·987]). Interpretation: This study substantially expands the empirical basis for assessment of non-fatal outcomes in the GBD study. Findings from this study substantiate the notion that disability weights are sensitive to particular details in descriptions of health states, but robust to duration of outcomes. Funding: European Centre for Disease Prevention and Control, Bill and Melinda Gates Foundation.
Author Vos, Theo
Devleesschauwer, Brecht
Speybroeck, Niko
Salomon, Joshua A
de Noordhout, Charline Maertens
Haagsma, Juanita A
Murray, Christopher J L
Kretzschmar, Mirjam
Havelaar, Arie H
Polinder, Suzanne
Cassini, Alessandro
Davis, Adrian
Author_xml – sequence: 1
  givenname: Joshua A
  surname: Salomon
  fullname: Salomon, Joshua A
  email: jsalomon@hsph.harvard.edu
  organization: Department of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA
– sequence: 2
  givenname: Juanita A
  surname: Haagsma
  fullname: Haagsma, Juanita A
  organization: Department of Public Health, Erasmus Medical Center, Rotterdam, Netherlands
– sequence: 3
  givenname: Adrian
  surname: Davis
  fullname: Davis, Adrian
  organization: Public Health England, London, UK
– sequence: 4
  givenname: Charline Maertens
  surname: de Noordhout
  fullname: de Noordhout, Charline Maertens
  organization: Institute of Health and Society, Université catholique de Louvain, Belgium
– sequence: 5
  givenname: Suzanne
  surname: Polinder
  fullname: Polinder, Suzanne
  organization: Department of Public Health, Erasmus Medical Center, Rotterdam, Netherlands
– sequence: 6
  givenname: Arie H
  surname: Havelaar
  fullname: Havelaar, Arie H
  organization: Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA
– sequence: 7
  givenname: Alessandro
  surname: Cassini
  fullname: Cassini, Alessandro
  organization: European Centre for Disease Prevention and Control, Stockholm, Sweden
– sequence: 8
  givenname: Brecht
  surname: Devleesschauwer
  fullname: Devleesschauwer, Brecht
  organization: Institute of Health and Society, Université catholique de Louvain, Belgium
– sequence: 9
  givenname: Mirjam
  surname: Kretzschmar
  fullname: Kretzschmar, Mirjam
  organization: Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
– sequence: 10
  givenname: Niko
  surname: Speybroeck
  fullname: Speybroeck, Niko
  organization: Institute of Health and Society, Université catholique de Louvain, Belgium
– sequence: 11
  givenname: Christopher J L
  surname: Murray
  fullname: Murray, Christopher J L
  organization: Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
– sequence: 12
  givenname: Theo
  surname: Vos
  fullname: Vos, Theo
  organization: Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
BackLink https://www.ncbi.nlm.nih.gov/pubmed/26475018$$D View this record in MEDLINE/PubMed
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26475004 - Lancet Glob Health. 2015 Nov;3(11):e661-2
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– reference: 26475004 - Lancet Glob Health. 2015 Nov;3(11):e661-2
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Snippet The Global Burden of Disease (GBD) study assesses health losses from diseases, injuries, and risk factors using disability-adjusted life-years, which need a...
Summary Background The Global Burden of Disease (GBD) study assesses health losses from diseases, injuries, and risk factors using disability-adjusted...
Background: The Global Burden of Disease (GBD) study assesses health losses from diseases, injuries, and risk factors using disability-adjusted life-years,...
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SubjectTerms Adolescent
Adult
Aged
Cost of Illness
Disability Evaluation
Europe
Female
Health Status
Humans
Internal Medicine
Male
Middle Aged
Quality-Adjusted Life Years
Regression Analysis
Young Adult
Title Disability weights for the Global Burden of Disease 2013 study
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