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Articles by J. Genz
Total Records ( 2 ) for J. Genz
  J. Genz , M. Scheer , C. Trautner , I. Zollner , G. Giani and A. Icks
  Aims  We estimated the incidence of blindness in the diabetic and non-diabetic population in 2008 and compared it with results from 1990-1998 in a neighbouring region.

Methods  All newly registered blindness allowance recipients in 2008 were drawn up in a German region (population 4.5 million). We estimated sex-specific, age-specific and standardized incidence rates of blindness in the diabetic and the non-diabetic population and relative and attributable risks as a result of diabetes. A comparison to the data from 1990-1998 was performed using log-linear Poisson regression.

Results  Four-hundred and sixty-eight cases were drawn up (63% female). One-hundred and twenty-two (26.1%) had diabetes. Blindness incidence rates (per 100 000 person-years) standardized to the 2008 German population were: men 9.1 (95% confidence interval 7.8-10.5), women 9.9 (8.8-11.1); diabetic population: men 21.8 (11.6-31.9), women 19.7 (9.2-30.1); non-diabetic population: men 8.0 (6.6-9.5), women 9.1 (7.9-10.3). Relative risk of blindness, diabetic vs. non-diabetic population: men 2.7 (1.6-4.5), women 2.2 (1.3-3.8). Attributable risk among exposed: 63% in men, 54% in women. Population attributable risk: 12% in men, 8% in women. Incidences of blindness were significantly lower than in all years of the period 1990-1998 in both the diabetic and the non-diabetic population.

Conclusions  We found the incidence of blindness to be approximately 2.5-fold higher in the diabetic compared with the non-diabetic population. Fifty-eight per cent of the risk to become blind in diabetic individuals and 9% of the risk to become blind in the entire population were attributable to diabetes. The decrease of the blindness incidence observed during the 1990s may have continued.

  J. Genz , B. Haastert , H. Muller , F. Verheyen , D. Cole , W. Rathmann , B. Nowotny , M. Roden , G. Giani , A. Mielck , C. Ohmann and A. Icks
  Aims  To compare the effect of our newly developed online evidence-based patient information vs. standard patient information about sub-threshold elevated blood glucose levels and primary prevention of diabetes on informed patient decision making.

Methods  We invited visitors to the cooperating health insurance company, Techniker Krankenkasse, and the German Diabetes Center websites to take part in a web-based randomized controlled trial. The population after randomization comprised 1120 individuals aged between 40 and 70 years without known diabetes, of whom 558 individuals were randomly assigned to the intervention group receiving evidence-based patient information, and 562 individuals were randomly assigned to the control group receiving standard information from the Internet. The primary endpoint was acquired knowledge of elevated blood glucose level issues and the secondary outcomes were attitude to metabolic testing, intention to undergo metabolic testing, decisional conflict and satisfaction with the information.

Results  Overall, knowledge of elevated glucose level issues and the intention to undergo metabolic testing were high in both groups. Participants who had received evidence-based patient information, however, had significantly higher knowledge scores. The secondary outcomes in the evidence-based patient information subgroup that completed the 2-week follow-up period yielded significantly lower intention to undergo metabolic testing, significantly more critical attitude towards metabolic testing and significantly higher decisional conflict than the control subgroup (n = 466). Satisfaction with the information was not significantly different between both groups.

Conclusions  Evidence-based patient information significantly increased knowledge about elevated glucose levels, but also increased decisional conflict and critical attitude to screening and treatment options. The intention to undergo metabolic screening decreased. Future studies are warranted to assess uptake of metabolic testing and satisfaction with this decision in a broader population of patients with unknown diabetes.

 
 
 
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