Clinical nurse specialist role development: quantifying actual practice over three years

Prior research has shown that clinical nurse specialists (CNSs) play diverse roles within healthcare settings. However, no prior work had resolved how CNSs allocate their time across these roles. Established knowledge includes the general understanding that CNSs engage in clinical practice, consultation, and education. This gap motivated the need for detailed documentation of CNS activities. The lack of longitudinal data on CNS roles limited understanding of how experience influences role distribution. No prior work had resolved how practice specialty affects CNS time allocation. The absence of standardized data collection tools for CNS roles created a barrier to accurate analysis. This paper's contribution is the first systematic documentation of CNS activities over three years. The study addresses the need for evidence-based insights into CNS role development.

The aim of this study was to document CNS weekly work activities in 30-minute segments. The specific problem was the lack of longitudinal data on CNS role distribution. The motivation was to quantify how CNSs allocate their time across role components. The study sought to identify patterns in CNS activities over three years. The purpose included analyzing how experience in the CNS role affects time allocation. The study also aimed to examine variations in role categories by practice specialty. The goal was to demonstrate the feasibility of documenting CNS practice conveniently. The study's purpose was to support professional development and peer review implementation.

A task force of five CNSs developed a data collection instrument to track weekly work activities. The instrument documented activities in 30-minute segments for each CNS. Data were collected in 2-week periods quarterly from June 1984 to May 1987. The study spanned three years to capture longitudinal trends in CNS roles. The data collection method involved self-reporting by CNSs during specific time frames. The approach included categorizing activities into role components for analysis. The study used a structured format to ensure consistency in data collection. The method demonstrated the feasibility of tracking CNS activities over extended periods.

The strongest finding was that over 50% of CNS work time was spent on clinical practice and consultation. The proportion of time spent on role components varied with years of experience in the CNS role. Variations in time allocation were observed across different practice specialties. The data showed a clear relationship between experience and role distribution patterns. The study found that clinical practice remained the most time-intensive role component. The results indicated that consultation activities increased with greater experience in the CNS role. Time spent on education and administration varied depending on the CNS's specialty area. The findings demonstrated that CNS roles are dynamic and influenced by both experience and specialty.

The authors' stated implications include the feasibility of documenting CNS practice through structured data collection. The study demonstrated that CNSs can conveniently track their activities over extended periods. The findings suggest that role distribution is influenced by years of experience in the CNS role. The study supports the need for ongoing documentation to understand CNS role evolution. The results indicate that practice specialty affects how time is allocated across role components. The authors propose that such documentation enhances professional development for CNSs. The study sets the stage for implementing peer review based on documented role activities. The conclusions emphasize the value of longitudinal data in understanding CNS role development.