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

Abstract

ObjectivesSharing 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.MethodsThe 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.ResultsWe 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.ConclusionsData 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.

A refined methodology for validation of information models derived from flowsheet data and applied to a genitourinary case

“…Clinical topics, purpose, and completeness of IMs vary. Examples of clinical topics are physiological nursing assessment data, 15 pain, 5,9,16 skin and wound assessments, 2 hospital-acquired pressure ulcers, 13 obesity management, 17,18 nursing assessment of cancer survivors, 19 medical errors, 20 antibiotic decision support, 21 and drug surveillance. 22 The purpose of IMs can be descriptive, prescriptive, or comparative.…”

“…A comparative model supports benchmarking between and among organizations. 23 The completeness of an IM can be either a minimal or optimal dataset 2,13,19 or a fully detailed clinical model. 3…”

“…12,17 A consensus process for the inclusion or exclusion of data elements is frequently used without specification of a formal process. 9,14,15,22 There are different levels of specifying data characteristics, ranging from simply naming a concept with definitions 19 and value sets, to inclusion of the data type, 9,12,19 data constraints, and cardinality. 2,9,12,15 The phase of mapping IM content to standardized terminologies can be part of the initial modeling process or conducted later.…”

“…14 The practical use of IMs by others also can be done through the development of artifacts such as EHR screenshots or templates, database designs, or examples of reports from use of the data. 2,14,19…”

Applicability of the ISO Reference Terminology Model for Nursing to the Detailed Clinical Models of Perinatal Care Nursing Assessments

“…Value set, in turn, represents uniquely identifiable set of valid concept representations of attribute. There have been several researches to model data elements of nursing assessment in Korea including DCMs for nursing assessment for breast cancer patients, perinatal care, and cancer survivors [ 7 - 9 ].…”