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Gregory R Hancock

Publications and source records attributed to Gregory R Hancock.

3 recordsLinked to original sources

Clinical competence: general ability or case-specific?

BACKGROUND: Before the 1970s, research into the development of clinical competence was mainly focused on general problem-solving abilities. The scope of research changed when Elstein and colleagues discovered that individual ability to solve clinical problems varies considerably across cases. It was concluded that problem solving abilities are highly dependent on domain-specific knowledge rather than on general problem solving skills. Elstein called this phenomenon "case specificity." PURPOSE: The finding of content specificity will be contrasted with the existence of a general clinical problem solving ability, and the relationship between preclinical knowledge and a problem solving ability will be investigated. METHODS: A correlation matrix was calculated with clerkship final scores from 10 disciplines to examine the magnitude of the interrelations. A confirmatory factor analysis was applied to the corresponding covariances using structural equation modeling to investigate whether scores on finals shared any common variance across clerkships. Finally, two additional models were tested to examine the nature of the relationship between preclinical knowledge and problem solving. RESULTS: Low to moderate correlations across clerkship disciplines were found, supporting the original findings of content specificity. Further investigation showed that in addition to specific knowledge, a general, content-independent ability is needed to perform on these examinations. CONCLUSIONS: Clinical competence, as measured in this study, is based on a combination of specific preclinical knowledge and a problem-solving ability. Case specificity fits perfectly well in this interactional perspective on clinical problem solving but does not explain it. The phenomenon "case specificity" is therefore not solely a result of content knowledge, but of level of experience and level of case difficulty.

Clinical Clerkship↗

Understanding consumers' health information preferences: development and validation of a brief screening instrument.

The impact of health communication is generally enhanced when it is targeted or tailored to the needs of a specific population or individual. In a segmentation analysis of the U.S adult population - using data from 2,636 respondents to a mail panel survey - we identified four segments of the adult population that vary significantly with regard to health information preferences based on their degree of engagement in health enhancement, and their degree of independence in health decision making. We also created a brief (10 item), easy-to-administer screening instrument that indicates into which segment people fall. The purpose of this article is to describe the segments, and the screening instrument, and to present initial tests of its validity. We believe this instrument offers a practical tool for differentiating motivationally coherent subgroups of the adult population with regard to their health information preferences, and therefore may have practical value in improving health communication and health services provision efforts. Additional research is needed to further validate the tool and test its utility in guiding the creation of targeted health messages and programs.

Adult↗

Examining change in maximal reliability for multiple-component measuring instruments.

A method for examining change in maximal reliability for pre-specified sets of congeneric measures when developing a multi-component instrument is outlined. The approach is applicable for purposes of estimation and testing of gain or loss in the maximal reliability coefficient as a consequence of adding or dropping one or more measures from a homogeneous composite with uncorrelated errors, as well as when one is concerned with optimal component choice for highest increase or correspondingly smallest drop in maximal reliability. The method is compared with a procedure for ascertaining change in unweighted sum score reliability, and implications for instrument construction and revision are discussed. The approach is illustrated with a numerical example.

Analysis of Variance↗