Hypothesis

Rationale

Model adjustment method

Potential for freeing of resourcesof a given political oradministrative initiative

H4: Efficiency improvements in

a) the health care sector

b) nursing services

Annual productivity gains are achieved in the Danish health care sector/nursing sector. In the period 2003-2011, the annual productivity gains in the Danish health care sector has been 2.3% and in 2011 alone 5.3% [40] .

Annual 1% reduction ofcostper PYRS for H4a―primary andsecondary care H4b―all nursingcomponents

H5: Reduced usage of nursing services

Patients with diabetes live longer and better with their diabetesand in comparison with 2006 estimates, the 2011 cost structureimplies relatively less costs fornursing [16] . This can also be aconsequence ofstructural changes in the Danish nursing sectorwith reduced services. If these developments are continued, theneed for/usage of nursing services per PYRS can be expectedto further decrease over time. The number of nursing homesand similar housing for elderly in 2011 have decreased with62% of the level in 2005 [41] .

Annual 2.5% reductionperPYRS in all nursingcost components

H6: Reduced usage of secondary care services

Annual 2.5% reduction in costs per PYRS in secondary care

H7: Reduced productivity loss among patients in CG0

Improved regulation of diabetes patients who have not yet developed complications from their disease. If CG0 patients were able to contribute more equal to thediabetes- free population on the labour market, productivitylosses due to lower income and excess absence could bedecreased.

Annual 2.5% reduction perPYRS in productivity lossdue to difference in annualincome and excess absence for patients in CG0