Swedish Institute for Health Economics, Lund, Sweden.
Novo Nordisk A/S, Søborg, Denmark.
Diabetes Obes Metab. 2020 Sep;22(9):1586-1597. doi: 10.1111/dom.14070. Epub 2020 May 22.
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.
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.
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.
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.
分析与 2 型糖尿病(T2D)的个体微血管、大血管和其他并发症相关的缺勤天数,并确定缺勤的关键驱动因素。
利用个人身份证号,对 1997 年至 2016 年期间患有 T2D 的人群以及年龄、性别和居住地区相匹配的对照组(5:1)的国家健康和社会经济个体水平数据进行了分析,这些数据来源于瑞典国家行政登记处的链接。回归分析考虑了个体水平的聚类和教育因素,以获得个体并发症相关的缺勤天数。为了稳健性和比较目的,还探索了其他分析方法,例如劳动力指标和年龄亚组。
共纳入 41.3 万名年龄<66 岁的 T2D 患者,包含 490 万人年。在索引年度,与对照组相比,T2D 患者的任何缺勤比例更高(47%比 26%),如果有缺勤,T2D 患者的平均(IQR)缺勤天数也更高(223 [77;359]比 196 [59;352])。回归分析表明,并发症本身是缺勤天数的主要驱动因素:中风(+102 天);终末期肾病(+70 天);严重视力丧失(+56 天);心绞痛、心力衰竭和骨关节炎(各+53 天)。其他分析也显示了类似水平的缺勤天数,并且年龄亚组的差异符合预期方向。
本研究提供了证据表明并发症对生产力的持续影响,这支持了继续努力降低 T2D 风险因素的必要性。未来关于疾病负担以及新疗法和疾病管理的经济评估的研究可以使用这一新的并发症特异性估计方法来更好地理解减少并发症的价值。