Peter Allebeck

Mandatory generic substitution was introduced in Sweden in October 2002 in order to try to curb escalating pharmaceutical expenditure. The aim of this study was to investigate how sales patterns for substitutable and non-substitutable pharmaceuticals have developed since the introduction of mandatory generic substitution; furthermore, to compare sales patterns in different groups of the population, based on patients' age and gender.

With the turn of the year 2006, we have taken another step in the series of reforms of this journal that Johan Mackenbach outlined in his editorial ‘New wine in new bottles’ about a year ago.¹ The editorial office has moved to Stockholm from Karlstad at the same time as we have gone over to electronic handling of manuscripts.

Aims: To assess the accuracy and performance of AUDIT in detecting alcohol problems, as defined by ICD-10 and DSM-IV, in a rural district in Vietnam. Methods: The study was conducted in a rural district of Vietnam. Five hundred men and women aged 18–60 were randomly selected for interview with AUDIT and CIDI 2.1. The ICD-10 and DSM-IV criteria for harmful use/alcohol abuse and alcohol dependence were used to evaluate AUDIT. Results: Due to few cases of alcohol problems observed among women (1/282), we could only evaluate the validity of AUDIT in men. At cut-off point 7/8, AUDIT had a sensitivity of 81.8% and a specificity of 76.1% for detecting at-risk drinking. At this cut-off point, using ICD-10 criteria, the sensitivity was 100% for harmful use and 93.8% for alcohol dependence; the specificity was 69.9% for harmful use and 87.4% for alcohol dependence. The area under the ROC curve was 0.91 (0.84–0.98) for harmful use and 0.84 (0.74–0.94) for alcohol dependence (ICD-10). The agreement between ICD-10 and DSM-IV was higher for diagnosing alcohol dependence than alcohol abuse (Kappa coefficient: 0.98 vs 0.68). Conclusion: We confirmed that AUDIT is feasible to use in a rural community in a developing country. Different cut-off points are appropriate for different purposes, but for general population screening of at-risk drinking we found a cut-off point 7/8 to be optimal.

Extensive information is available from official statistics and descriptive studies on the association between different socio-demographic background factors and sickness absence. This information addresses age, gender, place of residence, and socio-economic status. However, few studies have thoroughly analysed these background factors, and rigorous scientific evidence on the causal relationship between these factors and sick leave is lacking. Regarding the family, we found no scientific evidence that marital status or children living at home were associated with sickness absence. However, we found limited scientific evidence for an effect of divorce. Regarding work-related factors, we found limited scientific evidence for an effect of physically stressful work, and moderate scientific evidence for low psychological control over the work situation. We found limited scientific evidence for a correlation in time between unemployment and sickness absence, but insufficient scientific evidence for the causes of the association. There was moderate scientific evidence that the amount of sickness absence is influenced by the design of the social insurance system, but insufficient evidence on the magnitude of change required to influence the level of sickness absence. Essentially the same results apply to disability pension, although the number of studies is small. However, we found moderate scientific evidence for the effects of socio-economic status, which could be explained partly by childhood experiences.

Research on sickness absence, emanating from different theoretical perspectives and questions, is carried out within several different scientific disciplines. Studies are often based on explanatory models addressing the causes of sickness absence. Here, a brief summary of the various approaches and explanatory models used in sickness-absence research is presented. Also explanatory models for changes over time in sickness absence are briefly discussed.