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Sökning: onr:"swepub:oai:lup.lub.lu.se:df078a8d-134c-4a85-bb56-6080143738ba" > Days absent from wo...

Days absent from work as a result of complications associated with type 2 diabetes : Evidence from 20 years of linked national registry data in Sweden

Persson, Sofie (författare)
Lund University,Lunds universitet,The Swedish Institute for Health Economics, Lund, Sweden; Department of Clinical Sciences, Malmö, Health Economics Unit, Lund University, Lund, Sweden
Johansen, Pierre (författare)
Novo Nordisk A/S, Søborg, Denmark
Andersson, Emelie (författare)
The Swedish Institute for Health Economics, Lund, Sweden
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Lindgren, Peter (författare)
Karolinska Institutet,Karolinska Institute,The Swedish Institute for Health Economics, Lund, Sweden; Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockhom, Sweden
Thielke, Desirée (författare)
Novo Nordisk A/S, Søborg, Denmark
Thorsted, Brian L. (författare)
Novo Nordisk A/S, Søborg, Denmark
Jendle, Johan, 1963- (författare)
Örebro universitet,Örebro University,Institutionen för medicinska vetenskaper
Steen Carlsson, Katarina (författare)
Lund University,Lunds universitet,Hälsoekonomi,Forskargrupper vid Lunds universitet,Health Economics,Lund University Research Groups,The Swedish Institute for Health Economics, Lund, Sweden; Department of Clinical Sciences, Malmö, Health Economics Unit, Lund University, Lund, Sweden
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 (creator_code:org_t)
2020-05-22
2020
Engelska 12 s.
Ingår i: Diabetes, Obesity and Metabolism. - : Wiley. - 1462-8902 .- 1463-1326. ; 22:9, s. 1586-1597
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Aims: To analyse days absent from work related to individual microvascular, macrovascular and other complications of type 2 diabetes (T2D) and to identify key drivers of absence. Materials and methods: National health and socio-economic individual-level data were analysed for the years 1997 to 2016 for people with T2D, and age-, sex- and residential region-matched controls (5:1) using linkage to Swedish national administrative registers, based on personal identity numbers. Regression analyses accounting for individual-level clustering and education were estimated to obtain days absent by individual complications. Alternative analyses, for example, workforce indicator and age subgroups, were explored for robustness and comparison purposes. Results: A total of 413 000 people with T2D aged <66 years, comprising 4.9 million person-years, was included. The crude proportion with any absence was higher among those with T2D compared to controls (47% vs. 26%) in the index year, and the median (IQR) number of days was higher (223 [77;359] vs. 196 [59;352]) if any absence. Regression analyses showed that complications per se were a key driver of days absent: stroke (+102 days); end-stage renal disease (+70 days); severe vision loss (+56 days); and angina pectoris, heart failure, and osteoarthritis (+53 days each). The alternative analyses showed similar levels of days absent and age subgroups differed in expected directions. Conclusions: This study provides evidence of the persisting impact on productivity from complications that supports continued efforts to reduce risk factors in T2D. Future studies on burden of disease and economic evaluations of new therapies and disease management may use this new set of complication-specific estimates to improve understanding of the value of reducing complications.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Allmänmedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- General Practice (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)

Nyckelord

costs and cost analysis
days absent from work
diabetes complications
diabetes mellitus
disability
insurance
longitudinal register data
sick leave
type 2
costs and cost analysis

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