Biomedical subjects

Hans-Bernd Bludau

Publications and source records attributed to Hans-Bernd Bludau.

3 recordsLinked to original sources

PubMed2006

A computer-based information-tool for chronic pain patients. Computerized information to support the process of shared decision-making.

OBJECTIVE: Assessment of the use of a computerized information-tool in the context of a shared decision-making process with chronic pain patients. METHODS: In the scope of a prospective and randomized study on shared decision-making with Fibromyalgia patients, a total of 75 patients had access to computer-based information about their illness. Fibromyalgia is a condition of chronic wide-spread pain, belonging to rheumatism, which mainly affects mature female patients. The majority of the patients in our study are female (93%) with an average age of 50 years. The computer-based information-tool provided the patients with detailed information about pathogenesis, typical symptoms, treatment options and prognosis. Six evaluative questions were posed to the participants concerning the assessment of the information presented, the handling of the programme, the need for an introduction to the programme, the quality of the layout and the assessment of the length of time spent in front of the computer and the assessment of the usefulness of such a tool in general practitioners' offices. Furthermore, psychological self-assessment questionnaires were filled out by the participants. RESULTS: The patients highly appreciate the possibility of using computer-based information-tools and endorse the implementation of such tools in general practitioners' offices. CONCLUSION: Computerized information leads to a better understanding of the illness and the treatment options on the part of the patient. PRACTICAL IMPLICATIONS: For further practical use it is crucial to provide an introduction to the handling of a computer to unskilled patients.

Chronic Disease↗

PubMed2005

The establishment of Bayesian Coronary Artery Disease Prediction model.

This poster will demonstrate how we build up the module of Bayesian Coronary Artery Disease Predicting Evidence-Based Medicine. The system-module may help the young professional understand the effect of factors for referring patients to take the invasive examination of Angiographic.Moreover, the non-invasive information-tech also can perform as the screening tool on a clinical or a community-based epidemiology.

Bayes Theorem↗

PubMed2004

Improvement of the educational process by computer-based visualization of procedures: randomized controlled trial.

BACKGROUND: Before any invasive procedure, physicians have a legal obligation to inform patients. Traditionally, this involves a discussion with a physician, supplemented by written leaflet information directed at the specific procedure. OBJECTIVE: Comparison of the use and effectiveness of computer-based visualization opposed to standardized conversation for providing patients with information of forthcoming procedures (coronary catheters or endoscopy procedures). METHODS: Prospective, randomized trial with 56 participants allocated in two different groups: Visualization Group (standardized information supported by a tool for displaying two-dimensional pictures to explain medical facts as well as informative leaflet) or Control Group (standardized information and informative leaflet only). Detailed information was given about the indication, the probable complications and the details of the forthcoming procedures (coronary catheters or endoscopy procedures). All participants had to reach a Karnofsky Score of 70 points and be able to understand German or English. Main outcome measures were patient's satisfaction with physician-patient conversation, patient's acquired knowledge and duration of the intervention as described above. RESULTS: Patients of the Visualization Group were more satisfied with the conversation and had higher knowledge scores after the conversation. A Mann-Whitney-U-Test between the two groups showed that these differences in satisfaction (P<0.001) and knowledge (P= or <0.006) were statistically significant. Length of time needed for the conversation was slightly higher in the Visualization Group, but this difference was not statistically significant (25 versus 23 min; P= 0.441). No differences could be found due to differing age or educational level in the results of the Visualization and the Control Group. CONCLUSIONS: Using computerized visualization increased the satisfaction and knowledge of the patients. The presentation of the visualized information in the Visualization Group did not demand significantly more time than the standard conversation in the Control Group.

Adult↗