Patient adherence and adjustment in renal dialysis: a person x treatment interactive approach.

We classified 52 in-center hemodialysis patients and 34 self-treated, continuous ambulatory peritoneal dialysis (CAPD) patients on two latent variable indices reflecting patient coping style (i.e., "Information Vigilance" and "Active Coping"). The concurrent and prospective interactive effects of Dialysis Type and Coping Style were examined on patient dietary and medication adherence and on patient depression. In cross-sectional analyses, higher Information Vigilance was associated with better dietary adherence for CAPD patients but poorer adherence for In-Center Hemodialysis patients. No significant effects were found on a measure of medication adherence. Information Vigilance exerted a concurrent main effect on depression, such that higher scores were associated with less depression irrespective of dialysis type. Higher Active Coping scores were associated with lower residualized change in depression for both types of dialysis.

Iliad's role in the generalization of learning across a medical domain.

Medical informatics could facilitate more effective analysis and use of clinical knowledge by means of expert systems. To be most effective, such systems should be constructed in a manner which is consistent with physicians' cognitive processes. Our past five years' work with a system called Iliad indicates that it provides effective medical training and education. The current research extends our previous work by using a wider array of training and test cases. We also evaluated whether training on specific cases could generalize to improved testing performance on related cases, which featured similar complaints and pathophysiologic mechanisms, but different final diagnoses. In their junior internal medicine clerkship, students (n = 100) completed 1300 Iliad training cases covering 48 diagnoses. The findings indicated improved problem solving on the specifically trained cases as well as the generalization cases. We discuss a possible training model for expert systems such as Iliad.

Iliad training effects: a cognitive model and empirical findings.

Iliad is a diagnostic expert system consisting of an "inference engine" (collection of rules and procedures for making decisions) and a "knowledge base" (collection of medical facts). Iliad's internal medicine knowledge base recognizes 5000 medical findings and covers 1150 diagnostic conditions in 10 subspecialty fields. We used Iliad's simulator mode to train diagnostic skills in junior-year medical students. The results corroborate previous findings documenting Iliad's teaching efficacy. Recent developments in cognitive psychology provide a framework for explaining Iliad's training effects.