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김서연 ( Kim Seo-Yeon ) - Seoul National University Hospital Department of Nursing
정지현 ( Jung Ji-Hyun ) - Park Systems Corp.
강혜영 ( Kang Hei-Young ) - Seoul National University Hospital Department of Nursing
배지혜 ( Bae Jee-Hye ) - Seoul National University Hospital Department of Nursing
심가영 ( Sim Ka-Young ) - Seoul National University Hospital Department of Nursing
유미영 ( Yoo Mi-Young ) - Seoul National University Hospital Department of Nursing
서은영 ( Suh Eun-Young E. ) - Seoul National University College of Nursing
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Abstract
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Purpose: The purpose of this study was to analyze the frequency and relevance of frequent keywords using text mining analysis for symptom-related telephone counseling of patients undergoing chemotherapy, and to understand the current status and characteristics of the nursing intervention.
Methods: 442 cases of telephone counseling of patients undergoing chemotherapy were collected. The symptoms were classified and separated according to the contents of the consultation between the nurse and the counseling participants. Using the python library, frequency words were extracted, and the generation of word co-occurrence matrices was analyzed through social network analysis.
Results: For the four cancers to be analyzed (breast, colorectum, stomach, lung), the common frequent words of nurse and counseling participants were ‘medical staff (uilyojin)’, ‘medical treatment (jinlyo)’, ‘treatment (chilyo)’,‘other hospital (tabyeongwon)’, ‘prescription (cheobang)’. In the analysis of social networks, words with highly betweenness centrality, which appear in common, almost matched those of frequent words.
Conclusion: In this study, it was possible to extract the most frequent words by cancer type from the contents of telephone counseling with cancer patients and to understand the current status and context of the actual telephone counseling focusing on each keyword.
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KeyWords
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항암화학요법, 전화상담, 텍스트마이닝, 사회연결망분석, 매개중심성
Drug therapy, Telecommunications, Data mining, Social network analysis, Betweenness centrality
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원문 및 링크아웃 정보
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등재저널 정보
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