Biomedical subjects

I Bichindaritz

Publications and source records attributed to I Bichindaritz.

5 recordsLinked to original sources

PubMed1999

Physician participation in research surveys. A randomized study of inducements to return mailed research questionnaires.

The authors randomly selected 400 physicians from a population of 1,545 practicing physicians providing follow-up care to patients who received bone marrow or blood stem cell transplants at the Fred Hutchinson Cancer Research Center to determine interest in receiving Internet-based transplant information. In a two-factor completely randomized factorial design, the 400 physicians were assigned to receive mailed surveys with either no compensation or a $5 check and either no follow-up call or a follow-up call 3 weeks after mailing. Overall, 51.5% of the physicians returned the mailed surveys. Comparison of logit models showed that inclusion of a $5 check in the mailer significantly (p = .016) increased the probability of returning the surveys (57.5% vs. 45.5%). In contrast, the telephone follow-up had no overall effect. The authors concluded a modest financial reward can significantly improve physician response rates to research surveys but a telephone follow-up may be inefficient and even ineffective.

Adult↗

PubMed1998

CARE-PARTNER: a computerized knowledge-support system for stem-cell post-transplant long-term follow-up on the World-Wide-Web.

Evidence-based practice in medicine promotes the performance of medicine based upon proven and validated practice. The CARE-PARTNER system presented here is a computerized knowledge-support system for stem-cell post-transplant long-term follow-up (LTFU) care on the WWW, which means that it monitors the quality of the knowledge both of its own knowledge-base and of its users. Its aim is to support the evidence-based practice of the LTFU clinicians and of the home-town physicians who actually care for the transplanted patients. Currently, three fundamental characteristics of CARE-PARTNER are accountable for its knowledge-support function: the quality of its knowledge-base, its availability on the WWW, and its learning from experience capability. As a matter of fact, the integration of a case-based reasoner in the reasoning framework enables the system to introspectively study its results, and to learn from its successes and failures, thus confronting the quality of the guidelines and pathways it reuses to the reality and complexity of the clinical cases.

Artificial Intelligence↗

PubMed1997

Selective processing of eating and body words in restricting-type anorexics, binge-eating-type anorexics, bulimics, and control subjects.

A French adaptation of the Stroop colour-naming task was used to investigate selective processing of information related to eating and the body in 92 female subjects: 18 with restricting-type anorexia nervosa (RAs), 25 with binge-eating-type anorexia (BAs), 20 with bulimia nervosa (BNs), and 29 controls (Cs). All participants were significantly slower in colour-naming words related to eating and the body. This suggests that eating and body Stroop effects were not diagnostic category effects. Eating Stroop effect was significantly stronger in eating disordered patients than in Cs, but very similar in RAs, BAs, and BNs. It did not correlate with the body mass index nor with Eating Disorder Inventory (EDI) scores. Body Stroop effect did not differ significantly between groups. However some of our results suggested a tendency for this effect to be higher in BNs, corroborating previous literature data. Body Stroop effect correlated with EDI score in RAs, and with the "body dissatisfaction" subscale score in BNs and BAs. It did not correlate with the body mass index. Further studies are currently being carried out to determine whether inpatient treatment for anorexia nervosa induces significant changes in eating and/or body Stroop effect, and whether such changes might be predictive of clinical outcome.

Adult↗

PubMed1994

A case-based assistant for clinical psychiatry expertise.

Case-based reasoning is an artificial intelligence methodology for the processing of empirical knowledge. Recent case-based reasoning systems also use theoretic knowledge about the domain to constrain the case-based reasoning. The organization of the memory is the key issue in case-based reasoning. The case-based assistant presented here has two structures in memory: cases and concepts. These memory structures permit it to be as skilled in problem-solving tasks, such as diagnosis and treatment planning, as in interpretive tasks, such as clinical research. A prototype applied to clinical work about eating disorders in psychiatry, reasoning from the alimentary questionnaires of these patients, is presented as an example of the system abilities.

Anorexia↗

PubMedDate not supplied

[Measuring the development of eating disorders in a group of patients with the Eating Disorders Inventory (EDI)].

The Eating Disorders Inventory (EDI I) has been applied to four groups of patients with Eating Disorders (ED): Anorexic Bulimic Subtype (AB N = 22), Anorexic Restrictive Subtype (AR N = 36); Bulimic (B N = 51) and Other Eating Disorders (OED N = 15), according to the DSM III-R criteria. We have also applied the Eating Attitude Test (EAT-40), the Beck Depression Inventory (13 items), the Hamilton Anxiety Rating Scale and the Hamilton Depression Rating Scale. During their hospital care, the patients have been treated by cognitive-behavioural therapy. The order or decreasing total scores in EDI at the admission is the B subtype, then the AR subtype, then the OED group. In total score, the B and AB improved more than the order groups, between their admission and a second assessment three months later. Body dissatisfaction, Drive for thinness and Interpersonnal distrust are the only subscales for which no group showed a statistical improvement after three months. The B group decreased more in the subscale, than the other groups, particularly in Interoceptive awareness, Ineffectiveness and bulimia.

Adult↗