THE STRUCTURE AND ORGANIZATION OF EXPERT NURSING KNOWLEDGE: MONITORING THE SURGICAL INTENSIVE CARE PATIENT.
Contributors: University of Michigan.
Published: 1994
Number of pages: 171
Subjects: Health Sciences, Nursing.
Description: This study addressed the phenomenon of nursing expertise by focusing on the knowledge that underlies the practice of the expert clinician. Nurses are confronted daily with the task of monitoring patients and orchestrating an effective response if significant changes in a patient's status occur. Although clinicians routinely assume this responsibility, very little is known about the knowledge that underlies successful execution of this task. The purpose of this study was to explore and describe the knowledge that expert surgical intensive care nurses use to help them make decisions and judgments in their responsibilities of monitoring patients.

Ethnography, specifically linguistic analysis, provided the design framework for the investigation. A purposive sample of eight nurses served as informants for this study. The participants, all of whom had at least five years experience caring for critically ill surgical patients, were identified as expert clinicians by SICU supervisors. Data were collected via interview and participant observation. The language experts used in the clinical environment to describe the clinical task of monitoring patients, was analyzed using four interlocking procedures of domain analysis: domain identification, taxonomic analysis, componential analysis, and thematic analysis.

Five individual domains of knowledge were identified and described: (1) "different kinds of patients," (2) "different kinds of numbers," (3) "bad signs," (4) "putting the picture together" and (5) "ways to contact the physician." Three themes which integrated individual domains into a coherent knowledge system were identified: (1) successful monitoring depends upon minimizing the impact of error on the assessment process, (2) successful monitoring depends on anticipation: timing is everything, and (3) successful monitoring depends upon knowing when to worry, how worried to get and how to convince the physician to be as worried as you are.

Taken as a whole, the participants' knowledge base was organized so that information relative to assessment was indexed and mapped onto information about appropriate actions. Domain content was also affectively coded. The findings suggest that the intuitive quality of expert performance in the monitoring situation may be explained by the particular way that clinical knowledge is structured and organized.
Notes: Source: Dissertation Abstracts International, Volume: 55-04, Section: B, page: 1378.

Thesis (PH.D.)--THE UNIVERSITY OF MICHIGAN, 1994.

School code: 0127.