Practice patterns among home health, public health and hospital nurses.
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Female↗
Biomedical subjects
K K Hughes
Publications and source records attributed to K K Hughes.
Recruitment, retention, and compensation of agency and hospital nurses.
Despite the increased use and considerable cost of using supplemental nursing services, almost nothing is known about agency nurses or how they might differ from their hospital counterparts. The purpose of this study was to examine recruitment-, retention-, and compensation-related differences between agency and hospital staff nurses. The authors discuss implications for nurse administrators and provide recommendations for maximizing the work force participation of less costly part-time hospital staff nurses.
Career Mobility↗
Compensation of home health, public health, and hospital nurses. Extrinsic and intrinsic rewards.
Despite the proliferation of home health agencies and increased numbers of nurses working in these settings, little is known about home health nurses or how they might differ from their public health and hospital counterparts. The authors discuss differences in monetary compensation and skill usage, as well as the relationship between compensation and retention, among hospital, home health, and public health staff nurses. The results show that these nurses receive different intrinsic and extrinsic rewards and that their reasons for remaining with their employers are similar, yet unique. Implications for nurse administrators and educators are discussed, along with recommendations for further research.
Attitude of Health Personnel↗
The relationship between task complexity and decision-making consistency.
The purpose of this study was to examine the relationship between task complexity and decision-making consistency using a normative decision model. The Decision Analytic Questionnaire (DAQ), an instrument designed to measure nurses' decision making under increasingly uncertain and complex conditions, was administered to a stratified random sample of 101 paid volunteer medical-surgical nurses drawn from three public teaching hospitals. Probit analysis was used to construct a profile of the decision maker whose decisions coincided with those of the model. Results indicated that nurses made clinical decisions that coincided with those recommended by a normative decision model but that agreement diminished as task complexity increased (p less than .005). The results also indicated that consistency was task specific, that predictive variables were a function of decision task and that more predictor variables were needed to explain consistency as task complexity increased.
Clinical Competence↗
The limits of decision analysis for rapid decision making in ICU nursing.
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Decision Making↗
Decision making. Stability of clinical decisions.
Clinical decisions of 101 medical-surgical nurses were examined for stability. Results indicate that slightly more than 50% of the subjects made stable clinical decisions or decisions not likely to be reversed with minor changes in the clinical data. The findings also reveal that stability was related to hospital setting and country in which the nurses received their education. The authors provide possible explanations for these observations, and recommendations for nursing education and practice.
Clinical Competence↗
N-way sensitivity analysis: a verification and stability-assessment technique for completely subjective decision analysis trees.
The purpose of this paper is to describe the development of N-way sensitivity analysis, a modified version of traditional sensitivity analysis that was created for the purpose of verifying the stability of decisions made by a completely subjective decision-analytic tree. The technique was developed during research that addressed whether nurses make clinical decisions that coincide with those recommended by a decision-analytic model. Since all parameters of the model were derived from subjective assessment, traditional one-way or two-way sensitivity analysis was deemed inappropriate. Consequently, N-way sensitivity analysis was developed and used for the verification of the decision model's results.
Analysis of Variance↗