Biomedical subjects

B Wildemuth

Publications and source records attributed to B Wildemuth.

2 recordsLinked to original sources

PubMed2001

Development of an adaptive multimedia program to collect patient health data.

BACKGROUND: Direct entry of personal health survey information into a computer by patients could streamline clinical data collection, improve completeness and accuracy of health information available to providers, and provide data for tailoring health education messages. Few computerized programs, however, have been developed to adapt the interface to diverse literacy levels, language, computer skills, and health literacy levels of the broad spectrum of patient populations. METHODS: To develop such a program, we conducted cognitive response interviews with a diverse sample of 21 adult participants from two North Carolina health clinics. Participants were placed into one of three interview categories: (1) low reading skill level, low computer skills; (2) high reading skill level, low computer skills; and (3) high reading skill level, high computer skills. The "think-aloud" technique was employed to elicit feedback on a series of computer interface screens and health risk assessment questions. RESULTS: Interface-related findings showed that preference for touchscreen versus keyboard data entry was not strongly related to computer skill level but was related to question type. Respondents with limited education indicated that they would not click on a "help" or hyperlink option to get more information and that frequent reminders of directions on the screen were needed. Content-related findings showed numerous misperceptions regarding meanings of common health questions and terminology (e.g., seat belt use and intravenous drugs). CONCLUSIONS: These findings have implications for health literacy and may have an impact on the accuracy of information obtained. Study results will be incorporated into the development and testing of an innovative, adaptive multimedia program.

Adult↗

PubMed1999

Scoring performance on computer-based patient simulations: beyond value of information.

As computer based clinical case simulations become increasingly popular for training and evaluating clinicians, approaches are needed to evaluate a trainee's or examinee's solution of the simulated cases. In 1997 we developed a decision analytic approach to scoring performance on computerized patient case simulations, using expected value of information (VOI) to generate a score each time the user requested clinical information from the simulation. Although this measure has many desirable characteristics, we found that the VOI was zero for the majority of information requests. We enhanced our original algorithm to measure potential decrements in expected utility that could result from using results of information requests that have zero VOI. Like the original algorithm, the new approach uses decision models, represented as influence diagrams, to represent the diagnostic problem. The process of solving computer based patient simulations involves repeated cycles of requesting and receiving these data from the simulations. Each time the user requests clinical data from the simulation, the influence diagram is evaluated to determine the expected VOI of the requested clinical datum. The VOI is non-zero only it the requested datum has the potential to change the leading diagnosis. The VOI is zero when the data item requested does not map to any node in the influence diagram or when the item maps to a node but does not change the leading diagnosis regardless of it's value. Our new algorithm generates a score for each of these situations by modeling what would happen to the expected utility of the model if the user changes the leading diagnosis based on the results. The resulting algorithm produces a non-zero score for all information requests. The score is the VOI when the VOI is non-zero It is a negative number when the VOI is zero.

Algorithms↗