A knowledge map for hospital performance concept: Extraction and analysis: A narrative review article

Abstract

Background: Performance is a multi-dimensional and dynamic concept. During the past 2 decades, considerable studies were performed in developing the hospital performance concept. To know literature key concepts on hospital performance, the knowledge visualization based on co-word analysis and social network analysis has been used. Methods: Documents were identified through �PubMed� searching from1945 to 2014 and 2350 papers entered the study after omitting unrelated articles, the duplicates, and articles without abstract. After pre-processing and preparing articles, the key words were extracted and terms were weighted by TF-IDF weighting schema. Support as an interestingness measure, which considers the co-occurrence of the extracted keywords and "hospital performance" phrase was calculated. Keywords having high support with "hospital performance" are selected. Term-term matrix of these selected keywords is calculated and the graph is extracted. Results: The most high frequency words after �Hospital Performance� were �mortality� and �efficiency�. The major knowledge structure of hospital performance literature during these years shows that the keyword �mortality� had the highest support with hospital performance followed by �quality of care�, �quality improvement�, �discharge�, �length of stay� and �clinical outcome�. The strongest relationship is seen between �electronic medical record� and �readmission rate�. Conclusion: Some dimensions of hospital performance are more important such as �efficiency�, �effectiveness�, �quality� and �safety� and some indicators are more highlighted such as �mortality�, �length of stay�, �readmission rate� and �patient satisfaction�. In the last decade, some concepts became more significant in hospital performance literature such as �mortality�, �quality of care� and �quality improvement�. © 2016, Iranian Journal of Public Health. All rights reserved

    Similar works

    Full text

    thumbnail-image