Age is the most important risk factor for developing a stroke. In addition, age may also influence stroke recovery. To allow structured discharge planning, it may be important to consider the influence of age on stroke recovery during the early phase. We studied the effect of patient age on early stroke recovery in a cohort of 2219 unselected stroke patients. Data on functional status (Barthel Index Score) were collected prospectively within 24h after admission, after one week and at discharge for 2219 acute stroke patients treated in 1999 and 2000 at 7 neurological departments in the county of Hesse, Germany. Multiple regression analyses were used to test for an association between age, relative recovery and speed of recovery of ADL after stroke. More than half of the patients (58 %) improved in functional status during hospitalization. 37 % had no change in Barthel Index score and only a small number of patients (5 %) deteriorated during this period. Relative improvement decreased with increasing age: patients younger than 55 years showed an improvement of 67 % of the maximum possible improvement compared whith only 50 % for patients above 55 years (adjusted R(2) = 0.120, beta(age) = -0.130, p < 0.001). Age only had a small effect on the speed of recovery. For younger patients functional recovery was slightly faster (adjusted R(2) = 0.256, beta(age) = -0.080, p < 0.001). Despite its strong influence on case fatality, age is a poor predictor of functional recovery during the very early phase after stroke. Resulting functional recovery depends much more on the extent of the initial disability. Advanced age should not be regarded as a limiting factor in the early rehabilitation of stroke patients.

Small-area analyses are required to disentangle the association between socio-economic inequalities and health in Germany. In such analyses, not only individual but also contextual (e.g. area level) characteristics need to be included. Contextual variables can be used to group smaller areas such as counties into clusters with similar properties. Thus, individual survey data can be linked with contextual characteristics while maintaining data protection and at the same time achieving sufficiently large case numbers. Concurrently, theoretical models explaining health inequalities need to be further developed so that they embrace contextual characteristics.

Return to work (RTW) is the primary goal in the rehabilitation of patients suffering from coronary heart diseases. However, in spite of expensive rehabilitative efforts, many patients do not resume work following cardiac rehabilitation. To increase cost-effectiveness, predictive tests for non-RTW are needed to identify patients who are at risk of applying for early retirement, for reasons other than medical ones, at the beginning of the rehabilitation process, so that the necessary intervention is incorporated into the rehabilitation programme. As part of a study aiming at developing an advisory programme which can be integrated into existing rehabilitation programmes, we developed a screening instrument for the identification of persons at risk of not returning to work at the onset of the rehabilitation process. More than 65% of the participants who had not returned to work 6 and 12 months following rehabilitation had been correctly identified as risk patients at the beginning of the rehabilitation process. Seventy-five percent had been correctly identified as not being at risk. Multiple regression analysis results showed that increased age, profession, positive expectations concerning RTW and level of depression were significant predictors of RTW. Gender and anxiety were not significant predictors.