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The process of Walker and Avant's concept analysis and its modification for data model development.
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Figure 1: The process of Walker and Avant's concept analysis and its modification for data model development.

Mentions: The development of the data models was guided by a modification of the concept analysis developed by Walker and Avant [13], which was chosen because its process [14-16] is well suited for the development of data models (Figure 1).

Development of Data Models for Nursing Assessment of Cancer Survivors Using Concept Analysis

Lee MK, Park HA - Healthc Inform Res (2011)

Bottom Line: Appropriate distribution of the essential facts can be achieved using data models.The models developed in this study were based on a modification of concept analysis developed by Walker and Avant.Our approach involved determining the purpose of the analysis, identifying data elements, defining these elements and their uses, determining critical attributes, value sets, and cardinalities, and ultimately constructing data models which were examined externally by domain experts.

Affiliation: College of Nursing, Seoul National University, Seoul, Korea.

ABSTRACT

Objectives: Sharing of cancer-related information among healthcare professionals is crucial to ensuring the quality of long-term care for cancer survivors. Appropriate distribution of the essential facts can be achieved using data models. The purpose of this study was to develop and validate suitable data models for use in the nursing assessment of cancer survivors.

Methods: The models developed in this study were based on a modification of concept analysis developed by Walker and Avant. Our approach involved determining the purpose of the analysis, identifying data elements, defining these elements and their uses, determining critical attributes, value sets, and cardinalities, and ultimately constructing data models which were examined externally by domain experts.

Results: We developed 112 data models with 112 data elements, 29 critical attributes, 102 value sets, and 6 data types for the assessment of cancer survivors. External validation revealed that the data elements, critical attributes, and value sets proposed were comprehensive, relevant, and sufficiently useful to encompass nursing issues related to cancer survivors.

Conclusions: Data models developed in this study will contribute to ensuring the semantic consistency of data collected from cancer survivors, which will improve the quality of nursing assessments and in turn translate to improved long-term patient care.

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