• Title/Summary/Keyword: 간호결과분류

Search Result 144, Processing Time 0.03 seconds

Patient Classification Technique based on Computerized Clinical Data and Nursing Workforce Management : Analysis case of a general Hospital (전산화된 임상 데이터에 기반한 환자 분류 체계 및 간호 인력 관리 방안 : 일개 종합병원 분석 사례)

  • Kim, Kyoungok;Park, Kyungsoon;Suh, Changjin
    • The Journal of the Korea Contents Association
    • /
    • v.13 no.3
    • /
    • pp.287-298
    • /
    • 2013
  • To develop a technique classifying patients based on computerized clinical data followed by validity verification by comparing with nurse's examination. Class scores were determined by nurses for a day on 348 resident patients in 7 wards of a general hospital according to KPCS-1. The class scores were simultaneously evaluated by reviewing the computerized clinical data acquired from the hospital management information system. These two class scores were both significantly different among different departments as well as disease patterns. Intraclass correlation analysis resulted a very high correlation coefficient of 0.96(p<0.01) between the two scoring methods, but the clinical data scores were somewhat higher. An automated patient classification system seemed possible to be developed in future with further enhancement of the present results based on computerized clinical data without manual scoring, which can be applied for performance evaluation as well as workforce planning.

The Survey of Perception, Performance and Importance in Nursing Practice of Comprehensive Nursing Care Service (간호·간병통합서비스의 간호업무 인식, 수행도, 중요도에 대한 조사연구)

  • Lee, Su-Jeong
    • Journal of the Korea Convergence Society
    • /
    • v.8 no.4
    • /
    • pp.247-253
    • /
    • 2017
  • The purpose of this study was to identify a survey on total care services, to verify the perception, performance and importance of nursing practices between nursing students and nurses. The sample of the study were 93 nursing students and 38 nurses, A structured questionnaire used in this study composed of 235 items. The collected data were analyzed using the SPSS WIN 20.0 to calculate frequencies, percentage, mean, standard deviation and t-test. The Major findings of this study were as follows: The amount and responsibility of nursing practices in total service showed that 'very much increase'was the most. There were statistically significant differences in performance of total care service by nutritional care and elimination care. There were statistically significant differences in importance of total care service by respiratory Care.

Experience of Nursing University Students Participating in Low-Salt Diet Campaign (간호대학생의 교내 저염식이 캠페인 참여 경험)

  • Kim, Su-I;Woo, Sang-Jun;Kim, Eun-A
    • Journal of the Korea Convergence Society
    • /
    • v.11 no.8
    • /
    • pp.361-368
    • /
    • 2020
  • The purpose of this study is to investigate the educational effect of participation experience in nursing university students and to analyze the content. The subjects of this study were 32 of the 36 students in the 2nd to 3rd grade nursing students who participated in the D university in N city. Data analysis was classified into primary, secondary, and tertiary domains by assigning unique numbers to meaningful words in the original data. Participants were classified into three types of experiences after participating in the campus low salt diet campaign. Based on the results of this study, It was found that the experience of participating in and experiencing the education program of the nursing university students is educational effect.

Perception toward Happiness and Department Satisfaction in Nursing Students (간호대학생의 행복 인식과 학과만족도)

  • Kwon, Hyuk-Mi;Han, Hye-Sook
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.19 no.1
    • /
    • pp.527-536
    • /
    • 2018
  • This study was conducted to classify the factors influencing nursing students' subjectivity toward happiness and to identify differences in department satisfaction according to happiness factors. Q-methodology, which is effective at studying human subjectivity, was employed. Sixty-four students were asked to sort the 34 Q-statements along a 9-point scale ranging from most disagree (-4) to most agree (+4). The Q-sorts were analyzed using pc-QUNAL program, which subjects the data to principle component factor analysis, followed by varimax rotation. Moreover, the data were collected using a questionnaire that consisted of 27 questions pertaining to department satisfaction and analyzed using the SPSS 21.0 program. The result was classified into four factors that explained 58.0% of the total variance. Factor 1 was a progressive self-realization type, factor 2 an isolated flow type, factor 3 an optimistic friendly type, and factor 4 a self-centered relationship seeking type. Moreover, there was a significant difference in department satisfaction according to happiness factors (F=4.53, p=.006). To enhance department satisfaction and nursing professionalism, education and counseling in consideration of these types are needed.

Research Trend of Genetics in Oncology Nursing: Based on Text Network Analysis (유전종양간호 관련 연구경향: 텍스트 네트워크 분석을 중심으로)

  • Lee, Mijin;Oh, Soonyoung;Choi, Kyungsook
    • The Journal of the Korea Contents Association
    • /
    • v.18 no.2
    • /
    • pp.47-56
    • /
    • 2018
  • The aim of this study is investigate the research trends by analyzing the researches related to Korean and international genetics in oncology nursing. We conducted a text network analysis focusing on the key words presented in the abstracts of papers published in journals related to genetics in oncology nursing. Nurse, Cancer, Genetic, Patient, Knowledge, Care, and Genetic Test were identified as keywords and centralized keywords. As a result of studying research trends over time, researches including keywords such as information, care, and knowledge have increased since the completion of the Human Genome Project in 2003. Key words classified through the meta paradigm of nursing were health, nursing, human, environment order. This study is meaningful in that it can be used to identify trends in tumor genetic nursing research and to set the direction of development of nursing intervention for hereditary cancer patients.

The Effect of Emotional Intelligence on Interpersonal Relation Competence according to Interpersonal Relation Competence in Nursing Students (간호대학생의 대인관계능력 수준에 따른 대인관계능력에 대한 정서지능의 영향)

  • Kwag, Youn-Kyong
    • Journal of Convergence for Information Technology
    • /
    • v.11 no.5
    • /
    • pp.251-258
    • /
    • 2021
  • This study was conducted to investigate the impact of emotional intelligence according to the level of interpersonal relation competence. For the study, data were collected from 126 students in the department of nursing at a university located in B city from November 29 to December 16, 2019, and data were analyzed by Anova and Regression analysis. The interpersonal relation competence of nursing students was classified into less than 60 and 60 or more. In the group with an average of less than 60 in interpersonal relation competence. nursing students' self-emotional expression and control of others were significant positive effecting factors for interpersonal relation competence(explanatory power, 22.5%). In the group with an average of 60 or more in interpersonal relationship competence, self-emotional expression and Motivation were significant effecting factors(explanatory power 33.6%). According to the results of this study, we propose an individual approach according to their level of interpersonal relation competence for nursing education to improve the interpersonal relation competence abilities of nursing students.

Validation of Nursing-sensitive Patient Outcomes;Focused on Knowledge outcomes (지식결과에 대한 타당성 검증;간호결과분류(NOC)에 기초하여)

  • Yom, Young-Hee;Lee, Kyu-Eun
    • Journal of Korean Academy of Nursing Administration
    • /
    • v.6 no.3
    • /
    • pp.357-374
    • /
    • 2000
  • The purpose of this study was to validate knowledge outcomes included Nursing Outcomes Classification(NOC) developed by Johnson and Maas at the University of Iowa. A sample of 71 nurse experts working in university affiliated hospitals participated in this study. They were asked to rate indicators that examplified the outcomes on a scale of 1(indicator is not all characteristic) to 5(indicator is very characteristic). A questionnaire with an adaptation of Fehring's methodology was used to establish the content validity of outcomes. The results were as follow: 1. All indicators were considered to be 'supporting' and no indicators were considered to be 'nonsupporting'. 2. 'Knowledge: Treatment Regimen' attained and OCV score of 0.816 and was the highest OCV score among outcomes. 3. 'Knowledge: Energy Conservation' attained an OCV score of 0.748 and was the lowest OCV score among abuse outcomes. 4. 'Knowledge: Breastfeeding' attained an OCV score of 0.790 and was the highest indicator was 'description of benefits of breastfeeding'. 5. 'Knowledge: Child Safety' attained an OCV score of 0.778 and was the highest indicator was 'demonstration of first aids techniques'. 6. 'Knowledge: Diet' attained an OCV score of 0.779 and was the highest indicator was 'performance of self-monitoring activities'. 7. 'Knowledge: Disease Process' attained an OCV score of 0.815 and was the highest indicator was 'description of signs and symptoms'. 8. 'Knowledge: Health Behaviors' attained an OCV score of 0.800 and was the highest indicator was 'description of safe use of prescription drugs'. 9. 'Knowledge: Health Resources' attained an OCV score of 0.794 and was the highest indicator was 'description of need for follow-up care'. 10. 'Knowledge: Infection Control' attained an OCV score of 0.793 and was the highest indicator was 'description of signs and symptoms'. 11. 'Knowledge: Medication' attained an OCV score of 0.789 and was the highest indicator was 'description of correct administration of medication'. 12. 'Knowledge: Personal Safety' attained an OCV score of 0.804 and was the highest indicator was 'description of measures to reduce risk of accidental injury'. 13. 'Knowledge: Prescribed Activity' attained an OCV score of 0.810 and was the highest indicator was 'proper performance of exercise'. 14. 'Knowledge: Substance Use Control' attained an OCV score of 0.809 and was the highest indicator was 'description of signs of dependence during substance withdrawl'. 15. 'Knowledge: Treatment Procedure(s)' attained an OCV score of 0.795 and was the highest indicator was 'description of appropriate action for complications'. 16. 'Knowledge: Treatment Regimen' attained an OCV score of 0.816 and was the highest indicator was 'description of self-care responsibilities for emergency situations'. More outcomes need to be validated and outcomes sensitive to Korean culture need to be developed.

  • PDF

Subjectivity on Problem Based Learning(PBL) Experience of Freshmen in Nursing students (간호학과 신입생의 문제중심학습(PBL)의 경험에 관한 주관성연구)

  • Park, Ju-Young;Yang, Nam-Young
    • Journal of Digital Convergence
    • /
    • v.11 no.1
    • /
    • pp.329-338
    • /
    • 2013
  • Purpose: This study was to identify the types of subjectivity on PBL experience of freshmen in nursing students. Method: This study is exploratory research through Q methodology. From 102 Q populations, we selected 31 Q sorting was done by 25 of P sample. When the Q sorting is completed on nine point scale, we interviewed participants and documented their responses. The data was analyzed by using QUNAL program. Result: The result of the study showed 4 types. Four factors provided an explanation for 71.6% of total variances, and these four factors were analyzed and categorized as four types. We named type 1 as [positive pressure], type 2 as [relational friendly], type 3 as [creative benefit], type 4 as [paticipatory development]. Conclusion: In this study, PBL was valuable experience and recognized as a variety of perspectives for freshmen in nursing students. These findings indicate we suggest that planning of strategy for efficient operation on PBL was reflected above results.

Analysis of Factors Influencing Physical Activity in Female Nursing Students based on the Habit Formation Model (습관형성모델을 기반으로 한 간호대학 여학생의 신체활동에 대한 영향요인 분석)

  • Kim, Kyunghee;Gu, Mee-Ock
    • The Journal of the Convergence on Culture Technology
    • /
    • v.6 no.4
    • /
    • pp.453-468
    • /
    • 2020
  • This study was conducted to investigate factors influencing physical activity in female nursing students based on the habit formation model. The participants were 207 female students at G nursing college and J nursing college located in J city. All data were collected from 31, August to 14, September in 2020 and analyzed by descriptive statistics, ANOVA and Scheffĕ test, Pearson's correlation coefficient, Univariate, and Multivariate multinomial logistic regression using SPSS/WIN 22.0 program. The average level of physical activity measured by the Korean version of IPAQ was 2506.31±2807.05 MET-min/week. According to the physical activity category classified by IPAQ, there were 59students(28.5%) in the high group, 98students(47.3%) in the moderate group, and 50students(24.2%) in the low group. Physical activity habit strength was the significant factor influencing physical activity in female nursing students. Therefore, this study suggests that it is necessary to develop the habit formation program and verify effectiveness for enhancing and maintaining the physical activity in female nursing students.

Comparative analysis of random forest on depression experiences of metropolitan and provincial residents (광역시·도민의 우울경험에 대한 Random Forest 비교분석)

  • Dong Su Lee;Yu Jeong Kim
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2023.07a
    • /
    • pp.321-324
    • /
    • 2023
  • 본 연구는 광역시와 광역도 간의 개인적 요인과 건강수준 정도가 우울경험 여부에 영향을 미치는 변수의 중요도를 파악하고자 시도되었다. 본 연구의 자료는 질병관리청의 2021년 지역사회건강조사 데이터를 활용하였다. 광역시의 데이터는 4,602건을 이용하였고, 광역도는 19,545건의 데이터를 이용하였다. 자료 분석에 활용된 빅데이터는 R 4.3.0 for Windows를 활용하여 단어 빈도 분석과 machine learning기법인 Random Forest분석을 실시하였다. 연구결과, train 데이터와 test 데이터의 과적합(overfitting)의 문제는 발생하지 않았으며, machine learning 기법의 분류모델은 약 94% 수준으로 나타났다. 분석 결과 광역시와 광역도 간의 우울경험여부에 미치는 중요도가 각각 다르게 나타났다. 두 지역의 시민에게 미치는 우울경험의 원인을 다르게 접근함으로써 보다 더 효율적인 정책수립이 가능 할 것으로 판단된다.

  • PDF