Twenty trials met the inclusion criteria for this Cochrane review. The heterogeneity of the data for populations, interventions and outcomes allowed for very little pooling. Ten trials compared an Internet intervention to a non-Internet based smoking cessation intervention or to a nointervention control.
COBISS.SI-ID: 27473625
There are no risk models for the prediction of anxiety that may help in prevention. In the algorithm four variables were fixed characteristics (sex, age, lifetime depression screen, family history of psychological difficulties); three current status (Short Form 12 physical health subscale and mental health subscale scores, and unsupported difficulties in paid and/or unpaid work); one concerned country; and one time of follow-up. The algorithm is strikingly similar to the predictD algorithm for major depression, suggesting considerable overlap in the concepts of anxiety and depression.
COBISS.SI-ID: 27949273
A simple method that uses a chi-square-based scoring function to determine the likelihood of MEDLINE(R) citations containing genetic relevant topic was developed. They constructed a genetic and a nongenetic domain document corpus. We compared frequencies of MeSH descriptors between two corpora applying chi-square test. The output of the proposed method is a list of scores for all the citations, with the highest score given to those citations containing MeSH descriptors typical for the genetic domain.
COBISS.SI-ID: 26772441
The study offers additional insights into patients' views of the barriers to adherence. Patients feel empowered for occasional departure from recommended treatment in some social and life situations. Better medical care could be the result of good balance between social expectations of the patients, treatment and working demands on one side and individualised support of the physician with patients' own capacity torear range life on the other side.
COBISS.SI-ID: 1024227412
A lot of people is searching the internet for information on diseases and health in recent years. Physicians could also meet these needs of their patients. The aim of the paper is to assess the effects of email for the provision of information on disease prevention and health promotion on outcomes for health professionals, patients and carers, and health services, including harms.
COBISS.SI-ID: 27936473