{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T09:51:59Z","timestamp":1793872319739,"version":"4.6.1"},"reference-count":75,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["MDM Policy &amp; Practice"],"published-print":{"date-parts":[[2023,1]]},"abstract":"<jats:p>Background. Assessments of health-related quality of life (HRQoL) are essential in estimating quality-adjusted life-years. It is sometimes not feasible to collect primary HRQoL data, and reliable secondary sources are necessary. Current \u201coff-the-shelf\u201d HRQoL catalogs are based on older diagnosis classifications and include a limited number of diseases. This article aims to provide 1) a Danish EQ-5D-3L\u2013based HRQoL catalog for 199 nationally representative chronic conditions based on ICD-10 codes and 2) a complementary model-based catalog controlling for age, sex, comorbidities, lifestyle, and health risks. Design. A total of 55,616 respondents from 3 national health survey samples were pooled and combined with 7 national registers containing patient-level information on diagnoses, health care activity, and sociodemographics. EQ-5D-3L data were converted to utility scores using the Danish EQ-5D-3L value set to estimate the mean utility for each chronic disease population. Adjusted limited dependent variable mixture models were estimated and used to provide a regression-based catalog of utilities\/disutilities. Results. Diseases with the lowest mean EQ-5D score in the Danish population were systemic sclerosis (M34; score = 0.432), fibromyalgia (M797; score = 0.490), rheumatism (M790; score = 0.515), dementia (F00, G30; score = 0.546), posttraumatic stress syndrome (F431; score = 0.557), and systemic atrophies (G10-G14; score = 0.583. Based on the estimated models, the largest estimated disutilities were cystic fibrosis, cerebral palsy, depression, dorsalgia, sclerosis, and fibromyalgia. Lifestyle factors, including perceived stress, loneliness, and body mass index, were also significantly associated with low HRQoL. Conclusions. This study provides a comprehensive nationally representative catalog and a model-based catalog of EQ-5D-3L\u2013based HRQoL scores for Denmark that can be used to describe aspects of disease burden and allocate resources within health care. Additional Stata programs are also provided to facilitate predictions in other populations.<\/jats:p>\n                  <jats:sec>\n                    <jats:title>Highlights<\/jats:title>\n                    <jats:p>A Danish national representative catalog of health-related quality-of-life scores for 199 chronic conditions is presented, which provides population estimates for chronic conditions subgroups that can be used for health economic evaluation. Two separate regression models of EQ-5D-3L utility scores with different sets of control variables are estimated to allow researchers to adjust for differences in the composition of the subgroups and provide a tool that can be used in other settings. Results indicate that health-related quality of life varies across disease groups but is lowest for renal disease, mental and behavioral disorders, benign neoplasms and diseases of the blood, digestive systems, and nervous systems. Health risks and lifestyle factors such as perceived stress, loneliness, and a large body mass index are highly correlated with health-related quality of life, and, in many cases, the correlation is higher than with individual diseases.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/23814683231159023","type":"journal-article","created":{"date-parts":[[2023,4,10]],"date-time":"2023-04-10T01:01:10Z","timestamp":1681088470000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":18,"title":["Catalog of EQ-5D-3L Health-Related Quality-of-Life Scores for 199 Chronic Conditions and Health Risks in Denmark"],"prefix":"10.1177","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0632-3866","authenticated-orcid":false,"given":"Michael Falk","family":"Hvidberg","sequence":"first","affiliation":[{"name":"Innovation and Research Centre for Multimorbidity, Slagelse Hospital, Region Zealand, Denmark"},{"name":"Department of Psychology, University of York, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karin Dam","family":"Petersen","sequence":"additional","affiliation":[{"name":"Department of Public Health, Aarhus University, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Davidsen","sequence":"additional","affiliation":[{"name":"National Institute of Public Health, University of Southern Denmark, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2293-9169","authenticated-orcid":false,"given":"Flemming","family":"Witt Udsen","sequence":"additional","affiliation":[{"name":"Department of Health Science and Technology, Aalborg University, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anne","family":"Fr\u00f8lich","sequence":"additional","affiliation":[{"name":"Innovation and Research Centre for Multimorbidity, Slagelse Hospital, Region Zealand, Denmark"},{"name":"Institute of Public Health, University of Copenhagen, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lars","family":"Ehlers","sequence":"additional","affiliation":[{"name":"Department of Clinical Medicine, Aalborg University, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M\u00f3nica Hern\u00e1ndez","family":"Alava","sequence":"additional","affiliation":[{"name":"School of Health and Related Research, University of Sheffield, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2023,4,9]]},"reference":[{"key":"bibr1-23814683231159023","volume-title":"Methods for the Economic Evaluation of Health Care Programmes","author":"Drummond MF","year":"2015","edition":"4"},{"key":"bibr2-23814683231159023","doi-asserted-by":"publisher","DOI":"10.1093\/med\/9780198725923.001.0001"},{"key":"bibr3-23814683231159023","unstructured":"Oemar M, Janssen B. EQ-5D-5L User Guide v1.0. Rotterdam (the Netherlands). April 2011. Available from: https:\/\/euroqol.org\/publications\/user-guides\/. [Accessed 17 May, 2016]."},{"key":"bibr4-23814683231159023","volume-title":"EQ-5D-3L User Guide v2.0","author":"Cheung K","year":"2009"},{"key":"bibr5-23814683231159023","unstructured":"EuroQol Research Foundation. EQ-5D-3L User Guide. 2018. Available from: https:\/\/euroqol.org\/publications\/user-guides"},{"key":"bibr6-23814683231159023","unstructured":"EuroQol Research Foundation. EQ-5D-5L User Guide. 2019. Available from: https:\/\/euroqol.org\/publications\/user-guides"},{"key":"bibr7-23814683231159023","unstructured":"National Institute for Health and Care Excellence. NICE Health Technology Evaluations: The Manual. 2022. 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