요양병원 간호사의 감정노동, 간호정보역량 및 간호근무환경이 간호업무성과에 미치는 영향 The Effect of Emotional Labor, Nursing Informatics Competency and Nursing Service Environment on Nursing Performance of Geriatric Hospital Nurse원문보기
본 연구는 요양병원 간호사의 감정노동, 간호정보역량 및 간호근무환경이 간호업무성과에 미치는 영향을 확인하기 위한 서술적 조사연구이다. 연구 대상자는 G 광역시에 소재한 100~200병상 미만 요양병원 간호사 131명이었으며 자료수집 기간은 2018년 8월 20일부터 8월 30일까지 본 연구자가 직접 구조화된 설문지를 이용하여 조사하였다. 감정노동은 Morris & Feldman(1996)의 연구를 번역한 김민주(1998)의 도구를 김진규(2011)가 수정ㆍ보완한 측정도구를 사용하였고, 간호정보역량은 Staggers 등(2001)이 개발하고 김명수(2008)가 번역한 도구를 사용하였다. 또한 간호근무환경은 Lake(2002)가 개발하고 조은희, 최모나, 김은영, 유일영, 이남주(2011)가 번역한 한국어판 간호근무환경 측정도구(K-PES-NWI)를 사용하였으며 간호업무성과는 고유경, 이태화, 임지영(2007)이 개발한 측정도구를 사용하였다. 수집된 자료는 ...
본 연구는 요양병원 간호사의 감정노동, 간호정보역량 및 간호근무환경이 간호업무성과에 미치는 영향을 확인하기 위한 서술적 조사연구이다. 연구 대상자는 G 광역시에 소재한 100~200병상 미만 요양병원 간호사 131명이었으며 자료수집 기간은 2018년 8월 20일부터 8월 30일까지 본 연구자가 직접 구조화된 설문지를 이용하여 조사하였다. 감정노동은 Morris & Feldman(1996)의 연구를 번역한 김민주(1998)의 도구를 김진규(2011)가 수정ㆍ보완한 측정도구를 사용하였고, 간호정보역량은 Staggers 등(2001)이 개발하고 김명수(2008)가 번역한 도구를 사용하였다. 또한 간호근무환경은 Lake(2002)가 개발하고 조은희, 최모나, 김은영, 유일영, 이남주(2011)가 번역한 한국어판 간호근무환경 측정도구(K-PES-NWI)를 사용하였으며 간호업무성과는 고유경, 이태화, 임지영(2007)이 개발한 측정도구를 사용하였다. 수집된 자료는 SPSS 18.0 프로그램을 이용하여 빈도와 백분율, t-test, ANOVA, Scheffe's test, Pearson's correlation coefficient, Multiple regression analysis로 분석하였다.
본 연구의 결과는 다음과 같다. 1. 대상자의 감정노동은 3.02점, 간호정보역량은 3.04점, 간호근무환경은 3.04점, 간호업무성과는 3.85점으로 나타났다. 2. 대상자의 특성 중 연령(F=5.370, p=.006), 결혼상태 (t=18.122, p<.001), 근무경력(F=11.025, p<.001), 이직경험(t=7.257, p=.008), 근무형태(t=12.449, p=.001), 직위(t=22.75, p<.001)에 따라 간호업무성과가 유의한 차이를 보였다. 3. 대상자의 감정노동, 간호정보역량 및 간호근무환경과 간호업무성과의 상관관계에서는 간호정보역량(r=.316, p<.001)과 근무환경(r=.246, p=.005)이 간호업무성과와 양의 상관관계가 있었다. 4. 대상자의 감정노동과 간호정보역량 및 간호근무환경이 간호업무성과에 미치는 영향을 검증하기 위해 다중회귀분석(위계적회귀분석)을 실시한 결과, 대상자의 일반적 특성을 입력했을 때(Model 1), 24.7%의 설명력을 보였고(F=8.118, p<.001), 투입된 변인들 중 결혼상태(β=-0.225, p=.009)와 직위(β=0.210, p=.034)가 간호업무성과에 유의한 영향요인으로 나타났다. Model 1에서 간호근무환경을 추가했을 때, 설명력이 28.6%로 Model 1보다 증가하였고(F=8.429, p<.001), 직위(β=0.234, p=.012), 간호근무환경(β=0.214, p=.006), 결혼상태(β=-0.206, p=.014)가 간호업무성과에 유의한 영향요인으로 나타났다(Model 2). Model 2에서 간호정보역량을 추가했을 때, 설명력이 35.2%로 Model 2보다 증가하였고(F=9.815, p<.001), 간호정보역량(β=0.306, p<.001), 결혼상태(β=-0.255, p=.002), 직위(β=0.186, p=.038)가 간호업무성과에 유의한 영향요인으로 나타났다(Model 3).
따라서 본 연구에서 요양병원 간호사의 간호업무성과에 가장 큰 영향을 미치는 요인은 간호정보역량으로 밝혀졌으며 결혼상태와 직위 또한 간호업무성과에 영향을 미치는 요인으로 확인 되었다. 따라서 본 연구는 간호업무성과를 높이는 중재프로그램을 개발하는데 기초적 자료로 유용하게 활용될 것으로 기대된다.
본 연구는 요양병원 간호사의 감정노동, 간호정보역량 및 간호근무환경이 간호업무성과에 미치는 영향을 확인하기 위한 서술적 조사연구이다. 연구 대상자는 G 광역시에 소재한 100~200병상 미만 요양병원 간호사 131명이었으며 자료수집 기간은 2018년 8월 20일부터 8월 30일까지 본 연구자가 직접 구조화된 설문지를 이용하여 조사하였다. 감정노동은 Morris & Feldman(1996)의 연구를 번역한 김민주(1998)의 도구를 김진규(2011)가 수정ㆍ보완한 측정도구를 사용하였고, 간호정보역량은 Staggers 등(2001)이 개발하고 김명수(2008)가 번역한 도구를 사용하였다. 또한 간호근무환경은 Lake(2002)가 개발하고 조은희, 최모나, 김은영, 유일영, 이남주(2011)가 번역한 한국어판 간호근무환경 측정도구(K-PES-NWI)를 사용하였으며 간호업무성과는 고유경, 이태화, 임지영(2007)이 개발한 측정도구를 사용하였다. 수집된 자료는 SPSS 18.0 프로그램을 이용하여 빈도와 백분율, t-test, ANOVA, Scheffe's test, Pearson's correlation coefficient, Multiple regression analysis로 분석하였다.
본 연구의 결과는 다음과 같다. 1. 대상자의 감정노동은 3.02점, 간호정보역량은 3.04점, 간호근무환경은 3.04점, 간호업무성과는 3.85점으로 나타났다. 2. 대상자의 특성 중 연령(F=5.370, p=.006), 결혼상태 (t=18.122, p<.001), 근무경력(F=11.025, p<.001), 이직경험(t=7.257, p=.008), 근무형태(t=12.449, p=.001), 직위(t=22.75, p<.001)에 따라 간호업무성과가 유의한 차이를 보였다. 3. 대상자의 감정노동, 간호정보역량 및 간호근무환경과 간호업무성과의 상관관계에서는 간호정보역량(r=.316, p<.001)과 근무환경(r=.246, p=.005)이 간호업무성과와 양의 상관관계가 있었다. 4. 대상자의 감정노동과 간호정보역량 및 간호근무환경이 간호업무성과에 미치는 영향을 검증하기 위해 다중회귀분석(위계적회귀분석)을 실시한 결과, 대상자의 일반적 특성을 입력했을 때(Model 1), 24.7%의 설명력을 보였고(F=8.118, p<.001), 투입된 변인들 중 결혼상태(β=-0.225, p=.009)와 직위(β=0.210, p=.034)가 간호업무성과에 유의한 영향요인으로 나타났다. Model 1에서 간호근무환경을 추가했을 때, 설명력이 28.6%로 Model 1보다 증가하였고(F=8.429, p<.001), 직위(β=0.234, p=.012), 간호근무환경(β=0.214, p=.006), 결혼상태(β=-0.206, p=.014)가 간호업무성과에 유의한 영향요인으로 나타났다(Model 2). Model 2에서 간호정보역량을 추가했을 때, 설명력이 35.2%로 Model 2보다 증가하였고(F=9.815, p<.001), 간호정보역량(β=0.306, p<.001), 결혼상태(β=-0.255, p=.002), 직위(β=0.186, p=.038)가 간호업무성과에 유의한 영향요인으로 나타났다(Model 3).
따라서 본 연구에서 요양병원 간호사의 간호업무성과에 가장 큰 영향을 미치는 요인은 간호정보역량으로 밝혀졌으며 결혼상태와 직위 또한 간호업무성과에 영향을 미치는 요인으로 확인 되었다. 따라서 본 연구는 간호업무성과를 높이는 중재프로그램을 개발하는데 기초적 자료로 유용하게 활용될 것으로 기대된다.
This study is a descriptive research to grasp of the effects of emotional labor, nursing information capability and nursing service environment on nursing performance of geriatric hospital nurse. The subjects of this study were 149 nurses who work in the hospitals who work in the care hospi...
This study is a descriptive research to grasp of the effects of emotional labor, nursing information capability and nursing service environment on nursing performance of geriatric hospital nurse. The subjects of this study were 149 nurses who work in the hospitals who work in the care hospitals that have less than 200 beds, located in G-city. I surveyed them using a structured questionnaire to collect the data from 20 Aug 2018 to 30 Aug 2018. Measuring Tools of Emotional Labor translated the study of Morris & Felman(1996) by MinJoo Kim in 1998 revised and improved by JinKyu Kim in 2012, the Measuring Tool of Nursing Capability invented by UenJae Kim in 2016, the Tool of Nursing Service Environment adapted by Lake in 2002, Korean-version Measuring Tool of Nursing Service Environment, K-PES-NWI translated by Uenhui Jo and others in 2011 and the Measriong Tool of Nursing Performance adapted by Yookyeong Go in 2007. The gathered data were analyzed to the frequency, the percentage, t-test, ANOVA, Scheffe’s Test, Pearson’s Correlation Coefficient, Multiple Regression Analysis and Sobel Test by the program SPSS 18.0.
The results of this study are as follows: 1. The subjects’ score averages of emotional labor, nursing information capability, nursing service environment and nursing performance were 3.02, 3.04, 3.02 and 3.08 respectively 2. The subjects’ scores were significantly different according to their characteristics such as total-non-career(F=11.025, p=.00.1), currently-married (F=18.122, p=.001), work period in the hospital the subjects work(F=11.025, p=.001) and work pattern(t=12.449, p=.001). 3. There was a positive correlation between the Nursing information capability and service environment(r=0.316, p<0.001) among emotional labor, nursing information environment, nursing service environment and nursing performance. There was a negative correlation between emotional labor and nursing performance(r=-0.072, p<.005). 4. In order to test the effect of subject's emotional labor, nursing information capacity and nursing work performance on nursing performance, Multiple Regression Analysis was performed(Table 5-1). Consequently, when the general characteristics of the subjects were entered(Model 1), the explanatory power was 24.7%(F=8.118, p<0.001) and among the variables, matrimony(β=-0.225, p=0.009) and head nurse(β=0.210, p=0.034) were significant factors in the nursing performance. As the nursing work environment was added in the Model 1, the explanatory power increased to 28.6%(F=8.429, p<0.001), matrimony(β=-0.206, p=0.014), p=0.012) head nurse and nursing working environment(β=0.214, p=0.006) were significant factors in nursing performance(Model 2). As the nursing information capability was added in Model 2, the explanatory power was 35.2% higher than that of Model 2(F=9.815, p<0.001) and nursing information capacity(β=0.306, p<0.001)(Model 3). According to this study, nursing information capability is the factor affecting on nursing performance of geriatric hospital. It was verified that the nursing service environment is the factor that effects on nursing performance and the emotional labor of geriatric hospital nurse does not affect significantly on nursing performance. Therefore, this study is expected to be helpful to find ways to develop an arbitration program which helps improving the nursing performance, as a fundamental resource.
This study is a descriptive research to grasp of the effects of emotional labor, nursing information capability and nursing service environment on nursing performance of geriatric hospital nurse. The subjects of this study were 149 nurses who work in the hospitals who work in the care hospitals that have less than 200 beds, located in G-city. I surveyed them using a structured questionnaire to collect the data from 20 Aug 2018 to 30 Aug 2018. Measuring Tools of Emotional Labor translated the study of Morris & Felman(1996) by MinJoo Kim in 1998 revised and improved by JinKyu Kim in 2012, the Measuring Tool of Nursing Capability invented by UenJae Kim in 2016, the Tool of Nursing Service Environment adapted by Lake in 2002, Korean-version Measuring Tool of Nursing Service Environment, K-PES-NWI translated by Uenhui Jo and others in 2011 and the Measriong Tool of Nursing Performance adapted by Yookyeong Go in 2007. The gathered data were analyzed to the frequency, the percentage, t-test, ANOVA, Scheffe’s Test, Pearson’s Correlation Coefficient, Multiple Regression Analysis and Sobel Test by the program SPSS 18.0.
The results of this study are as follows: 1. The subjects’ score averages of emotional labor, nursing information capability, nursing service environment and nursing performance were 3.02, 3.04, 3.02 and 3.08 respectively 2. The subjects’ scores were significantly different according to their characteristics such as total-non-career(F=11.025, p=.00.1), currently-married (F=18.122, p=.001), work period in the hospital the subjects work(F=11.025, p=.001) and work pattern(t=12.449, p=.001). 3. There was a positive correlation between the Nursing information capability and service environment(r=0.316, p<0.001) among emotional labor, nursing information environment, nursing service environment and nursing performance. There was a negative correlation between emotional labor and nursing performance(r=-0.072, p<.005). 4. In order to test the effect of subject's emotional labor, nursing information capacity and nursing work performance on nursing performance, Multiple Regression Analysis was performed(Table 5-1). Consequently, when the general characteristics of the subjects were entered(Model 1), the explanatory power was 24.7%(F=8.118, p<0.001) and among the variables, matrimony(β=-0.225, p=0.009) and head nurse(β=0.210, p=0.034) were significant factors in the nursing performance. As the nursing work environment was added in the Model 1, the explanatory power increased to 28.6%(F=8.429, p<0.001), matrimony(β=-0.206, p=0.014), p=0.012) head nurse and nursing working environment(β=0.214, p=0.006) were significant factors in nursing performance(Model 2). As the nursing information capability was added in Model 2, the explanatory power was 35.2% higher than that of Model 2(F=9.815, p<0.001) and nursing information capacity(β=0.306, p<0.001)(Model 3). According to this study, nursing information capability is the factor affecting on nursing performance of geriatric hospital. It was verified that the nursing service environment is the factor that effects on nursing performance and the emotional labor of geriatric hospital nurse does not affect significantly on nursing performance. Therefore, this study is expected to be helpful to find ways to develop an arbitration program which helps improving the nursing performance, as a fundamental resource.
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