Measuring the Population Burden of Injuries—Implications for Global and National Estimates: A Multi-centre Prospective UK Longitudinal Study
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{"title"=>"Measuring the population burden of injuries-implications for global and national estimates: A multi-centre prospective UK longitudinal study", "type"=>"journal", "authors"=>[{"first_name"=>"Ronan A.", "last_name"=>"Lyons", "scopus_author_id"=>"55259733900"}, {"first_name"=>"Denise", "last_name"=>"Kendrick", "scopus_author_id"=>"7006870304"}, {"first_name"=>"Elizabeth M.", "last_name"=>"Towner", "scopus_author_id"=>"6603700075"}, {"first_name"=>"Nicola", "last_name"=>"Christie", "scopus_author_id"=>"35939105100"}, {"first_name"=>"Steven", "last_name"=>"Macey", "scopus_author_id"=>"24071537700"}, {"first_name"=>"Carol", "last_name"=>"Coupland", "scopus_author_id"=>"7003598940"}, {"first_name"=>"Belinda J.", "last_name"=>"Gabbe", "scopus_author_id"=>"6603439472"}], "year"=>2011, "source"=>"PLoS Medicine", "identifiers"=>{"pui"=>"364014899", "issn"=>"15491277", "pmid"=>"22162954", "scopus"=>"2-s2.0-84855185885", "isbn"=>"1549-1676", "doi"=>"10.1371/journal.pmed.1001140", "sgr"=>"84855185885"}, "id"=>"4e44a9f6-cf3c-3c56-9552-7255ce4c0695", "abstract"=>"BACKGROUND Current methods of measuring the population burden of injuries rely on many assumptions and limited data available to the global burden of diseases (GBD) studies. The aim of this study was to compare the population burden of injuries using different approaches from the UK Burden of Injury (UKBOI) and GBD studies. METHODS AND FINDINGS The UKBOI was a prospective cohort of 1,517 injured individuals that collected patient-reported outcomes. Extrapolated outcome data were combined with multiple sources of morbidity and mortality data to derive population metrics of the burden of injury in the UK. Participants were injured patients recruited from hospitals in four UK cities and towns: Swansea, Nottingham, Bristol, and Guildford, between September 2005 and April 2007. Patient-reported changes in quality of life using the EQ-5D at baseline, 1, 4, and 12 months after injury provided disability weights used to calculate the years lived with disability (YLDs) component of disability adjusted life years (DALYs). DALYs were calculated for the UK and extrapolated to global estimates using both UKBOI and GBD disability weights. Estimated numbers (and rates per 100,000) for UK population extrapolations were 750,999 (1,240) for hospital admissions, 7,982,947 (13,339) for emergency department (ED) attendances, and 22,185 (36.8) for injury-related deaths in 2005. Nonadmitted ED-treated injuries accounted for 67% of YLDs. Estimates for UK DALYs amounted to 1,771,486 (82% due to YLDs), compared with 669,822 (52% due to YLDs) using the GBD approach. Extrapolating patient-derived disability weights to GBD estimates would increase injury-related DALYs 2.6-fold. CONCLUSIONS The use of disability weights derived from patient experiences combined with additional morbidity data on ED-treated patients and inpatients suggests that the absolute burden of injury is higher than previously estimated. These findings have substantial implications for improving measurement of the national and global burden of injury.", "link"=>"http://www.mendeley.com/research/measuring-population-burden-injuriesimplications-global-national-estimates-multicentre-prospective-u", "reader_count"=>41, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>4, "Librarian"=>2, "Student > Doctoral Student"=>3, "Researcher"=>6, "Student > Ph. D. Student"=>11, "Student > Postgraduate"=>3, "Student > Master"=>4, "Other"=>2, "Student > Bachelor"=>3, "Professor"=>3}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>4, "Librarian"=>2, "Student > Doctoral Student"=>3, "Researcher"=>6, "Student > Ph. D. Student"=>11, "Student > Postgraduate"=>3, "Student > Master"=>4, "Other"=>2, "Student > Bachelor"=>3, "Professor"=>3}, "reader_count_by_subject_area"=>{"Environmental Science"=>1, "Nursing and Health Professions"=>3, "Materials Science"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>28, "Arts and Humanities"=>1, "Sports and Recreations"=>1, "Business, Management and Accounting"=>1, "Social Sciences"=>3, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>28}, "Social Sciences"=>{"Social Sciences"=>3}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>3}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Environmental Science"=>{"Environmental Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"United States"=>2, "United Kingdom"=>3, "Australia"=>1, "India"=>1}, "group_count"=>7}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/705723"], "description"=>"<p>Source: <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001140#pmed.1001140-Feeny1\" target=\"_blank\">[21]</a>.</p>", "links"=>[], "tags"=>["cases", "ukboi", "13-group"], "article_id"=>376080, "categories"=>["Biotechnology"], "users"=>["Ronan A. Lyons", "Denise Kendrick", "Elizabeth M. Towner", "Nicola Christie", "Steven Macey", "Carol Coupland", "Belinda J. Gabbe"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001140.t001", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Number_of_cases_in_UKBOI_study_by_injury_group_using_the_13_group_classification_/376080", "title"=>"Number (%) of cases in UKBOI study by injury group using the 13-group classification.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-12-06 01:41:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/705867"], "description"=>"<p>Source: <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001140#pmed.1001140-Feeny1\" target=\"_blank\">[21]</a>.</p>", "links"=>[], "tags"=>["uk-estimated", "population-level", "ylds", "ukboi", "weights", "13-injury", "classification", "hospitalised"], "article_id"=>376209, "categories"=>["Biotechnology"], "users"=>["Ronan A. Lyons", "Denise Kendrick", "Elizabeth M. Towner", "Nicola Christie", "Steven Macey", "Carol Coupland", "Belinda J. Gabbe"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001140.t004", "stats"=>{"downloads"=>7, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Annual_UK_estimated_population_level_total_YLDs_using_UKBOI_disability_weights_for_the_13_injury_classification_and_overall_and_proportion_from_hospitalised_cases_/376209", "title"=>"Annual UK-estimated population-level total YLDs using UKBOI disability weights for the 13-injury classification and overall, and proportion from hospitalised cases.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-12-06 01:43:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/705815"], "description"=>"<p>Source: <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001140#pmed.1001140-Murray1\" target=\"_blank\">[3]</a>.</p>a<p>239 England and Wales hospitalisations were excluded from this analysis because of missing age values.</p>", "links"=>[], "tags"=>["population-level", "ylds", "england", "wales", "33", "gbd", "derived"], "article_id"=>376163, "categories"=>["Biotechnology"], "users"=>["Ronan A. Lyons", "Denise Kendrick", "Elizabeth M. Towner", "Nicola Christie", "Steven Macey", "Carol Coupland", "Belinda J. Gabbe"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001140.t005", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Annual_estimated_population_level_YLDs_following_hospital_admission_for_injury_in_England_and_Wales_by_the_33_GBD_injury_groups_derived_from_GBD_disability_metrics_/376163", "title"=>"Annual estimated population-level YLDs following hospital admission for injury in England and Wales by the 33 GBD injury groups, derived from GBD disability metrics.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-12-06 01:42:43"}
  • {"files"=>["https://ndownloader.figshare.com/files/705681"], "description"=>"<p>Source: <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001140#pmed.1001140-Feeny1\" target=\"_blank\">[21]</a>.</p>a<p>A common average disability weight was applied to these groups as the weights were all very low and similar and in some cases the numbers very small. No disability weight was calculated for the one case of poisoning.</p>", "links"=>[], "tags"=>["annualised", "weights", "13-injury", "classification", "hospitalisation"], "article_id"=>376036, "categories"=>["Biotechnology"], "users"=>["Ronan A. Lyons", "Denise Kendrick", "Elizabeth M. Towner", "Nicola Christie", "Steven Macey", "Carol Coupland", "Belinda J. Gabbe"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001140.t002", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Time_weighted_annualised_disability_weights_for_the_13_injury_group_classification_by_hospitalisation_status_/376036", "title"=>"Time-weighted annualised disability weights for the 13-injury group classification by hospitalisation status.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-12-06 01:40:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/358080"], "description"=>"<div><h3>Background</h3><p>Current methods of measuring the population burden of injuries rely on many assumptions and limited data available to the global burden of diseases (GBD) studies. The aim of this study was to compare the population burden of injuries using different approaches from the UK Burden of Injury (UKBOI) and GBD studies.</p> <h3>Methods and Findings</h3><p>The UKBOI was a prospective cohort of 1,517 injured individuals that collected patient-reported outcomes. Extrapolated outcome data were combined with multiple sources of morbidity and mortality data to derive population metrics of the burden of injury in the UK. Participants were injured patients recruited from hospitals in four UK cities and towns: Swansea, Nottingham, Bristol, and Guildford, between September 2005 and April 2007. Patient-reported changes in quality of life using the EQ-5D at baseline, 1, 4, and 12 months after injury provided disability weights used to calculate the years lived with disability (YLDs) component of disability adjusted life years (DALYs). DALYs were calculated for the UK and extrapolated to global estimates using both UKBOI and GBD disability weights. Estimated numbers (and rates per 100,000) for UK population extrapolations were 750,999 (1,240) for hospital admissions, 7,982,947 (13,339) for emergency department (ED) attendances, and 22,185 (36.8) for injury-related deaths in 2005. Nonadmitted ED-treated injuries accounted for 67% of YLDs. Estimates for UK DALYs amounted to 1,771,486 (82% due to YLDs), compared with 669,822 (52% due to YLDs) using the GBD approach. Extrapolating patient-derived disability weights to GBD estimates would increase injury-related DALYs 2.6-fold.</p> <h3>Conclusions</h3><p>The use of disability weights derived from patient experiences combined with additional morbidity data on ED-treated patients and inpatients suggests that the absolute burden of injury is higher than previously estimated. These findings have substantial implications for improving measurement of the national and global burden of injury.</p> <h3></h3><p> <em>Please see later in the article for the Editors' Summary</em></p> </div>", "links"=>[], "tags"=>["measuring", "multi-centre", "prospective", "uk", "longitudinal"], "article_id"=>130771, "categories"=>["Biotechnology"], "users"=>["Ronan A. Lyons", "Denise Kendrick", "Elizabeth M. Towner", "Nicola Christie", "Steven Macey", "Carol Coupland", "Belinda J. Gabbe"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001140", "stats"=>{"downloads"=>7, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Measuring_the_Population_Burden_of_Injuries_Implications_for_Global_and_National_Estimates_A_Multi_centre_Prospective_UK_Longitudinal_Study/130771", "title"=>"Measuring the Population Burden of Injuries—Implications for Global and National Estimates: A Multi-centre Prospective UK Longitudinal Study", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-12-06 00:12:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/705766"], "description"=>"<p>Some publications did not provide results or sufficient data to calculate YLDs or YLLs. The European study of six countries did not provide a separate analysis of mortality for England and Wales <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001140#pmed.1001140-Polinder1\" target=\"_blank\">[14]</a>. It is unclear whether all studies adjusted for the age weighting and discounting as used in the GBDs study <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001140#pmed.1001140-Mathers1\" target=\"_blank\">[5]</a>.</p>", "links"=>[], "tags"=>["injury-related", "dalys", "published", "studies", "ukboi"], "article_id"=>376121, "categories"=>["Biotechnology"], "users"=>["Ronan A. Lyons", "Denise Kendrick", "Elizabeth M. Towner", "Nicola Christie", "Steven Macey", "Carol Coupland", "Belinda J. Gabbe"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001140.t006", "stats"=>{"downloads"=>3, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Estimates_of_injury_related_YLDs_YLLs_YLL_YLD_ratio_and_DALYs_per_100_000_population_from_published_studies_and_the_UKBOI_Study_/376121", "title"=>"Estimates of injury-related YLDs, YLLs, YLL;YLD ratio, and DALYs per 100,000 population from published studies and the UKBOI Study.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-12-06 01:42:01"}
  • {"files"=>["https://ndownloader.figshare.com/files/705644"], "description"=>"<p>Source: <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001140#pmed.1001140-Feeny1\" target=\"_blank\">[21]</a>.</p><p>WISS, Welsh Injury Surveillance System.</p>", "links"=>[], "tags"=>["uk", "ed-treated", "cases", "extrapolated", "hospitals", "welsh", "13"], "article_id"=>375988, "categories"=>["Biotechnology"], "users"=>["Ronan A. Lyons", "Denise Kendrick", "Elizabeth M. Towner", "Nicola Christie", "Steven Macey", "Carol Coupland", "Belinda J. Gabbe"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001140.t003", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Estimated_UK_number_and_population_rate_of_injury_admissions_and_ED_treated_only_cases_extrapolated_from_five_hospitals_in_the_Welsh_Injury_Surveillance_System_in_2005_2006_by_the_13_injury_group_classification_/375988", "title"=>"Estimated UK number and population rate of injury admissions, and ED-treated only cases extrapolated from five hospitals in the Welsh Injury Surveillance System in 2005/2006, by the 13 injury group classification.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-12-06 01:39:48"}

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Relative Metric

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