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한국보건정보통계학회> 보건정보통계학회지> 확산 모형에 의한 첨단 영상진단 의료기기 수요확산의 특성 분석 및 수요예측에 관한 연구

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확산 모형에 의한 첨단 영상진단 의료기기 수요확산의 특성 분석 및 수요예측에 관한 연구

A Study on A Demand Forecasting and Characterization of Diffusion Process for Advanced Diagnostic Imaging Equipment

김수범 ( Su-beom Kim ) , 김태구 ( Taegu Kim ) , 임달오 ( Daroh Lim )
  • : 한국보건정보통계학회
  • : 보건정보통계학회지 47권1호
  • : 연속간행물
  • : 2022년 02월
  • : 74-78(5pages)
보건정보통계학회지

DOI


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서 론
연구 방법
연구 결과
고 찰
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REFERENCES

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초록 보기

Objectives: In this study, we explore the demand forecasting of Advanced Diagnostic imaging Equipment. Methods: The analysis was based on logistic diffusion model. We analyze the specific pattern of each equipment’s diffusion curve by interpreting the parameter estimates of logistic diffusion model. Results: Our findings are follows. First, Computed tomography is in the stage of saturation and so, the future demands of that is not too large. Second, Magnetic resonance imaging (MRI) is expected that it will take about 5 years to reach saturation, and further growth is expected to continue. Third, Positron emission tomography (PET) has been shown to be saturated, and therefore, it is not expected that there will be a rapid increase in demand in the future. However, since demand data has been declining since 2000, it is said that additional data collection is required to reliably predict future demand. Conclusions: As a result of analyzing the demand for three major advanced diagnostic imaging equipment, it was found that the domestic market is generally in saturation. Therefore, a future research task will be to predict and analyze the demand for advanced diagnostic imaging equipment in consideration of the government’s policy changes.

UCI(KEPA)

간행물정보

  • : 의약학분야  > 예방의학및보건학
  • : KCI등재
  • :
  • : 계간
  • : 2465-8014
  • : 2465-8022
  • : 학술지
  • : 연속간행물
  • : 1976-2022
  • : 755


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47권1호(2022년 02월) 수록논문
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KCI등재

1빅 데이터를 이용한 국내의 성인 및 노인대상 작업치료 관련 연구: 체계적 고찰

저자 : 남상훈 ( Sanghun Nam ) , 배수영 ( Suyeong Bae ) , 홍익표 ( Ickpyo Hong )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 1-8 (8 pages)

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Objectives: This study systematically reviewed the literatures related to domestic occupational therapy and big data and suggested the need for changes in occupational therapy and big data research for adults and the older adults. Methods: From January 2010 to December 2020, Google Scholar, Korean Studies Information Service System, and Research Information Sharing Service were utilized to search for literatures related to occupational therapy and big data in South Korea. Results: Of the 954 searched literatures, 17 literatures were selected. Most of the literatures were the evidence level II (n=7, 41.2%), 7 (41.2%) literatures conducted with older adults, and 3 literatures (17.6%) utilized the Korean National Health and Nutrition Examination Survey as a big data source. Finally, in the literature, the research was conducted by selecting variables suitable for the subject from various panel surveys. Conclusions: In south Korea, panel surveys for each topic are being created and various variables are being collected. As a result, research in occupational therapy for adults and the elderly using big data became possible, making it possible to conduct various studies.

KCI등재

2뇌졸중 환자의 재활을 위한 병원선택요인

저자 : 김미옥 ( Miok Kim ) , 김건엽 ( Keon-yeop Kim )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 9-19 (11 pages)

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Objectives: The purpose of this study was to investigate the factors influencing selection for rehabilitation hospital in patients who have been diagnosed with stroke. Methods: This study included 169 stroke patients who were admitted to the top 5 hospitals with the highest recovery rate among 13 hospitals where the rehabilitation medicine is operated as the main medical department in Daegu Metropolitan City. The data was collected from 10 February, 2020 to 17 March, 2020, and the survey was conducted by the head of the hospital administration in each hospital for about a month through face to face. Results: Among the factors influencing selection for rehabilitation hospital after stroke, image factors were at the highest mean and standard deviation (3.83±0.74), following human factors (3.75±0.77), physical factors (3.57±0.89), efficiency factors (3.35±0.69), accessibility factors (3.11±1.00). In the demographic characteristics, human factors were considered important when selecting hospital in aged people over 70 years old (p<0.01). Efficiency factors and human factors were considered important if patients living outside Daegu (p<0.05), but accessibility factors were more important if patients living in Daegu (p<0.01). In the stroke related characteristics, the human factors were considered important in the shorter the disease period, and in the case of having swallowing disorders (p<0.05). When paralysis was affected on both sides (bilateral paralysis), physical factors were considered important (p<0.05), and efficiency factor was also considered important as the disease periods gets shorter (p<0.05). Efficiency factors and accessibility were important in the case of not having respiratory disorders compared to those with the respiratory disorders (p<0.05). The results of the factors for choosing a hospital according to the stroke diseases-related characteristics showed that human factors, physical factors, and hospital image factors were considered important in case of putting much of the efforts to gather hospital information (p<0.01). When the patients who had rehabilitation in the tertiary hospital prior to the current hospital admission, the physical factors were considered important (p<0.05). Conclusions: This study found that various factors were considered in patients who have been diagnosed with stroke, when selecting rehabilitation hospital after stroke. Therefore, it should be warranted to provide reliable and objective hospital information for stroke patients through establishing national level health system and sharing rehabilitation data so that the people can get effective rehabilitation at the right time.

KCI등재

3간호대학생의 MBTI 성격유형에 따른 자아존중감, 스트레스 대처방식 및 회복탄력성 영향요인

저자 : 박정미 ( Jeong Mi Park )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 20-26 (7 pages)

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Objectives: This study aimed to identify the effects of self-esteem and stress coping styles on resilience in nursing students according to the Myers- Briggs Type Indicator (MBTI). Methods: A descriptive study was conducted. Data were collected from 205 nursing senior students and analyzed using descriptive statistics, t-test, ANOVA, Scheffé test, Pearson correlation coefficient and multiple regression analysis. Results: In terms of self-esteem, social support-seeking stress coping style, and resilience, extroversion was significantly higher than introversion in MBTI preference. Among all factors, self-esteem had the greatest effect on resilience (r=0.53), followed by the emotion-focused coping style (r=-0.31) and the problem-focused coping style (r=0.23), with an explanation power of 57.1%. Conclusions: The results of this study indicate that self-esteem is an essential factor affecting resilience. Thus, nursing intervention programs for improvement of resilience in nursing students should be considered by the degree of self-esteem based on the MBTI personality preference.

KCI등재

4노인요양시설의 영양사 배치유무에 따른 영양관리 실태 비교

저자 : 권진희 ( Jin Hee Kwon ) , 황라일 ( Rah Il Hwang ) , 류재현 ( Jaehyeon Ryu )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 27-34 (8 pages)

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Objectives: The study was performed to compare the status of nutrition management with and without dietitian in residential facilities in order to provide basic data for high quality of nutrition management services across the country. Methods: Among long-term care facilities with claims of benefits, 747 samples were extracted through a proportionate stratified sampling method based on region, agents of foundation, types of food service, and facility size. Results: The subjects of the survey were dietitian, general managers, or facility directors. Nutrition evaluation, nutrition intervention, and nutrition monitoring were performed by professional staff at the residential facilities with a dietitian. On the other hand, it was found that the rate of nutrition management performance was relatively low in residential facilities where no dietitian was assigned, and it was performed by non-professional personnel such as nurse aids and social workers. Conclusions: The results of this study suggested that developing strategies is required to reinforce the safe minimal standard of dietitians' staffing levels for systematic nutrition management.

KCI등재

5CEA 및 CA15-3 혈청 수준 기반 유방암 예후 예측 모델 개발 연구

저자 : 양희수 ( Hee Soo Yang ) , 권성욱 ( Seonguk Kwon ) , 이승희 ( Seunghee Lee ) , 이수현 ( Suehyun Lee ) , 김종엽 ( Jong-yeup Kim )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 35-47 (13 pages)

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목적: CEA와 CA15-3 혈청 수준은 유방암 환자의 예후를 예측하기 위해 사용되며, 본 연구에서는 이를 활용하여 유방암 예후 예측 모델을 개발하고자 한다.
방법: 2012년 1월부터 2019년 12월까지 유방암을 진단받은 639명의 환자를 대상으로 분석하였다. CEA와 CA15-3 검사 정보를 포함하는 20개의 변수를 선정하여 예후 예측 모델 개발을 위해 인공신경망, 랜덤 포레스트, 서포트 벡터 머신, 로지스틱 회귀 총 4개의 기계학습 알고리즘을 활용하였다.
결과: 환자군(n= 63)과 대조군(n=576) 간에 CEA와 CA15-3 혈청 수준과 나이, 고혈압 및 당뇨병을 제외한 다른 질병의 병력, 화학요법 및 약물요법일 시행한 경우에서 통계적으로 유의미한 차이가 보였다. 유방암 예후 예측 모델에 대한 인공신경망 모델의 민감도와 특이 도는 각각 26.7%, 92.6%로 확인되었다.
결론: Shapley 부가 설명 모델 활용 결과, 유방암 예후 예측 모델에서 가장 중요한 변수는 CEA와 CA15-3 혈청 수준으로 확인되었다. 결과적으로 본 연구에서 제안된 인공신경망 기반 기계학습 모델과 종양표지자 혈청 수치는 유방암 예후 예측에 유용하게 작용될 것이라고 기대된다.


Objectives: Serum levels of carcinoembryonic antigen and cancer antigen 15-3 tumor markers are used for breast cancer prognosis. This study developed a breast cancer prognosis prediction model. Methods: We retrospectively analyzed data of 639 patients diagnosed between January 2012 and December 2019. We selected 20 independent variables with carcinoembryonic antigen and cancer antigen 15-3 serum levels and employed four machine-learning algorithms for the model: artificial neural network, random forest, support vector machine, and logistic regression. Results: Significant differences in carcinoembryonic antigen and cancer antigen 15-3 serum levels, age, history of other diseases excluding hypertension and diabetes mellitus, chemotherapy, and drug therapy were noted between control (n=576) and case groups (n=63). The sensitivity and specificity of the artificial neural network model for prognosis prediction were 26.7% and 92.6%, respectively. Conclusions: Carcinoembryonic antigen and cancer antigen 15-3 serum levels were the most significant variables for developing a breast cancer prognosis prediction model using the Shapley additive explanations model. The proposed machine-learning model and tumor marker serum levels may be useful for breast cancer prognosis.

KCI등재

6임상간호사의 COVID-19 백신 접종 의도에 대한 영향요인

저자 : 최연희 ( Yeonhui Choe ) , 차지은 ( Jieun Cha )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 48-56 (9 pages)

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Objectives: This study investigated psychosocial factors that influence nurse's intention to receive a COVID-19 vaccine. We focused on factors including COVID-19 knowledge, attitudes and beliefs related to COVID-19 vaccines, social contexts, and demographics. Methods: Data were collected from 200 nurses at five hospitals in Daegu between 12 April and 19 June 2021. We assessed COVID-19 knowledge, perceived susceptibility, severity, benefits, barriers, safety concerns, COVID-19 exposure, demographics, and the intention to get COVID-19 vaccines. Data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson correlation, and hierarchial multiple regression. Results: Of 200 participants, 180 (90.0%) reported an intention to obtain a vaccination against COVID-19. Among four health beliefs towards COVID-19 vaccines, perceived severity was the highest. Perceived benefits (r=0.42, p<0.001) were positively associated with vaccination intention, while perceived barriers (r=-0.32, p<0.001) and safety concerns (r=-0.20, p<0.001) negatively influenced vaccination intention. There were differences in the scores for vaccination intention according to hospital grade and work department. According to the regression analysis, perceived benefits and barriers were discovered to account for 21% of the variance in vaccination intention. Conclusions: This study offers a timely overview of psychosocial factors that are related to nurses' intention to get vaccinated for COVID-19. The vaccines' benefits need to be highlighted in campaigns and educations, and it is imperative to remain transparent and truthful in communications about the vaccine safety.

KCI등재

7정신질환이 동반된 입원환자의 특성과 주진단과의 연관성

저자 : 김성수 ( Sung-soo Kim )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 57-65 (9 pages)

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Objectives: The purpose of this study was to determine the prevalence of the principal diagnosis among hospitalized patients with mental disorders and to investigate the association between the principal diagnosis and mental diseases as comorbidity. Methods: The subjects of this study were patients with mental disorders, regardless of the main diagnosis, among the Korean National Hospital Discharge In-depth Injury Survey (KNHDS) from 2006 to 2018. Frequency analysis was performed on the general characteristics, principal diagnosis, and mental disorders of the study subjects. The association between the principal diagnosis and mental diseases was analyzed for patterns using association rule mining (ARM). Results: The main result is that liver diseases are fairly associated with behavioral disorders due to psychoactive substance use. And then organic, including symptomatic, and mental disorders are associated with cerebrovascular diseases, Influenza and pneumonia, and other degenerative diseases of the nervous system. Mood disorders are linked to poisoning by drugs, medicaments, and biological substances. Conclusions: It is necessary to raise awareness of mental diseases and to build a care cooperative system between diseases that are highly associated. It will be possible to monitor key association rules and apply them to clinical decision-making systems.

KCI등재

8중소병원 간호사의 안전문화인식, 간호근무환경, 전문직 자아개념이 환자안전간호활동에 미치는 영향

저자 : 조영옥 ( Young Ok Cho ) , 김명수 ( Myoung Soo Kim )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 66-73 (8 pages)

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Objectives: The purpose of this study was to investigate the influencing factors of perceived safety culture, nursing work environment, and professional self-concept on patient safety care activities of nurse in small-medium sized hospitals. Methods: A cross-sectional survey was used. Participants were 186 nurses in seven small-medium sized hospitals of a metropolitan city, in Korea. Data were analyzed using multiple linear regression analysis. Results: The influencing factors of the patient safety care activities were perceived patient safety culture and professional self-concept. These two factors explained for 15.1% of the patient safety acre activities. Conclusions: Based on the result of this study, it is necessary to build a good patient safety culture and to develop a positive professional self-concept. The establishment of a positive safety culture should be prioritized to quickly recognized and sensitively accept problems related to patient safety and actively carry out patient safety nursing activity. In order to improve the professional self-concept, it is necessary to increase the social performance for voluntary cooperation and to recognize the self-categorization that the group to which one belongs is distinguished from other groups.

KCI등재

9확산 모형에 의한 첨단 영상진단 의료기기 수요확산의 특성 분석 및 수요예측에 관한 연구

저자 : 김수범 ( Su-beom Kim ) , 김태구 ( Taegu Kim ) , 임달오 ( Daroh Lim )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 74-78 (5 pages)

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Objectives: In this study, we explore the demand forecasting of Advanced Diagnostic imaging Equipment. Methods: The analysis was based on logistic diffusion model. We analyze the specific pattern of each equipment's diffusion curve by interpreting the parameter estimates of logistic diffusion model. Results: Our findings are follows. First, Computed tomography is in the stage of saturation and so, the future demands of that is not too large. Second, Magnetic resonance imaging (MRI) is expected that it will take about 5 years to reach saturation, and further growth is expected to continue. Third, Positron emission tomography (PET) has been shown to be saturated, and therefore, it is not expected that there will be a rapid increase in demand in the future. However, since demand data has been declining since 2000, it is said that additional data collection is required to reliably predict future demand. Conclusions: As a result of analyzing the demand for three major advanced diagnostic imaging equipment, it was found that the domestic market is generally in saturation. Therefore, a future research task will be to predict and analyze the demand for advanced diagnostic imaging equipment in consideration of the government's policy changes.

1
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KCI등재

1빅 데이터를 이용한 국내의 성인 및 노인대상 작업치료 관련 연구: 체계적 고찰

저자 : 남상훈 ( Sanghun Nam ) , 배수영 ( Suyeong Bae ) , 홍익표 ( Ickpyo Hong )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 1-8 (8 pages)

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Objectives: This study systematically reviewed the literatures related to domestic occupational therapy and big data and suggested the need for changes in occupational therapy and big data research for adults and the older adults. Methods: From January 2010 to December 2020, Google Scholar, Korean Studies Information Service System, and Research Information Sharing Service were utilized to search for literatures related to occupational therapy and big data in South Korea. Results: Of the 954 searched literatures, 17 literatures were selected. Most of the literatures were the evidence level II (n=7, 41.2%), 7 (41.2%) literatures conducted with older adults, and 3 literatures (17.6%) utilized the Korean National Health and Nutrition Examination Survey as a big data source. Finally, in the literature, the research was conducted by selecting variables suitable for the subject from various panel surveys. Conclusions: In south Korea, panel surveys for each topic are being created and various variables are being collected. As a result, research in occupational therapy for adults and the elderly using big data became possible, making it possible to conduct various studies.

KCI등재

2뇌졸중 환자의 재활을 위한 병원선택요인

저자 : 김미옥 ( Miok Kim ) , 김건엽 ( Keon-yeop Kim )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 9-19 (11 pages)

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Objectives: The purpose of this study was to investigate the factors influencing selection for rehabilitation hospital in patients who have been diagnosed with stroke. Methods: This study included 169 stroke patients who were admitted to the top 5 hospitals with the highest recovery rate among 13 hospitals where the rehabilitation medicine is operated as the main medical department in Daegu Metropolitan City. The data was collected from 10 February, 2020 to 17 March, 2020, and the survey was conducted by the head of the hospital administration in each hospital for about a month through face to face. Results: Among the factors influencing selection for rehabilitation hospital after stroke, image factors were at the highest mean and standard deviation (3.83±0.74), following human factors (3.75±0.77), physical factors (3.57±0.89), efficiency factors (3.35±0.69), accessibility factors (3.11±1.00). In the demographic characteristics, human factors were considered important when selecting hospital in aged people over 70 years old (p<0.01). Efficiency factors and human factors were considered important if patients living outside Daegu (p<0.05), but accessibility factors were more important if patients living in Daegu (p<0.01). In the stroke related characteristics, the human factors were considered important in the shorter the disease period, and in the case of having swallowing disorders (p<0.05). When paralysis was affected on both sides (bilateral paralysis), physical factors were considered important (p<0.05), and efficiency factor was also considered important as the disease periods gets shorter (p<0.05). Efficiency factors and accessibility were important in the case of not having respiratory disorders compared to those with the respiratory disorders (p<0.05). The results of the factors for choosing a hospital according to the stroke diseases-related characteristics showed that human factors, physical factors, and hospital image factors were considered important in case of putting much of the efforts to gather hospital information (p<0.01). When the patients who had rehabilitation in the tertiary hospital prior to the current hospital admission, the physical factors were considered important (p<0.05). Conclusions: This study found that various factors were considered in patients who have been diagnosed with stroke, when selecting rehabilitation hospital after stroke. Therefore, it should be warranted to provide reliable and objective hospital information for stroke patients through establishing national level health system and sharing rehabilitation data so that the people can get effective rehabilitation at the right time.

KCI등재

3간호대학생의 MBTI 성격유형에 따른 자아존중감, 스트레스 대처방식 및 회복탄력성 영향요인

저자 : 박정미 ( Jeong Mi Park )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 20-26 (7 pages)

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Objectives: This study aimed to identify the effects of self-esteem and stress coping styles on resilience in nursing students according to the Myers- Briggs Type Indicator (MBTI). Methods: A descriptive study was conducted. Data were collected from 205 nursing senior students and analyzed using descriptive statistics, t-test, ANOVA, Scheffé test, Pearson correlation coefficient and multiple regression analysis. Results: In terms of self-esteem, social support-seeking stress coping style, and resilience, extroversion was significantly higher than introversion in MBTI preference. Among all factors, self-esteem had the greatest effect on resilience (r=0.53), followed by the emotion-focused coping style (r=-0.31) and the problem-focused coping style (r=0.23), with an explanation power of 57.1%. Conclusions: The results of this study indicate that self-esteem is an essential factor affecting resilience. Thus, nursing intervention programs for improvement of resilience in nursing students should be considered by the degree of self-esteem based on the MBTI personality preference.

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4노인요양시설의 영양사 배치유무에 따른 영양관리 실태 비교

저자 : 권진희 ( Jin Hee Kwon ) , 황라일 ( Rah Il Hwang ) , 류재현 ( Jaehyeon Ryu )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 27-34 (8 pages)

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Objectives: The study was performed to compare the status of nutrition management with and without dietitian in residential facilities in order to provide basic data for high quality of nutrition management services across the country. Methods: Among long-term care facilities with claims of benefits, 747 samples were extracted through a proportionate stratified sampling method based on region, agents of foundation, types of food service, and facility size. Results: The subjects of the survey were dietitian, general managers, or facility directors. Nutrition evaluation, nutrition intervention, and nutrition monitoring were performed by professional staff at the residential facilities with a dietitian. On the other hand, it was found that the rate of nutrition management performance was relatively low in residential facilities where no dietitian was assigned, and it was performed by non-professional personnel such as nurse aids and social workers. Conclusions: The results of this study suggested that developing strategies is required to reinforce the safe minimal standard of dietitians' staffing levels for systematic nutrition management.

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5CEA 및 CA15-3 혈청 수준 기반 유방암 예후 예측 모델 개발 연구

저자 : 양희수 ( Hee Soo Yang ) , 권성욱 ( Seonguk Kwon ) , 이승희 ( Seunghee Lee ) , 이수현 ( Suehyun Lee ) , 김종엽 ( Jong-yeup Kim )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 35-47 (13 pages)

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목적: CEA와 CA15-3 혈청 수준은 유방암 환자의 예후를 예측하기 위해 사용되며, 본 연구에서는 이를 활용하여 유방암 예후 예측 모델을 개발하고자 한다.
방법: 2012년 1월부터 2019년 12월까지 유방암을 진단받은 639명의 환자를 대상으로 분석하였다. CEA와 CA15-3 검사 정보를 포함하는 20개의 변수를 선정하여 예후 예측 모델 개발을 위해 인공신경망, 랜덤 포레스트, 서포트 벡터 머신, 로지스틱 회귀 총 4개의 기계학습 알고리즘을 활용하였다.
결과: 환자군(n= 63)과 대조군(n=576) 간에 CEA와 CA15-3 혈청 수준과 나이, 고혈압 및 당뇨병을 제외한 다른 질병의 병력, 화학요법 및 약물요법일 시행한 경우에서 통계적으로 유의미한 차이가 보였다. 유방암 예후 예측 모델에 대한 인공신경망 모델의 민감도와 특이 도는 각각 26.7%, 92.6%로 확인되었다.
결론: Shapley 부가 설명 모델 활용 결과, 유방암 예후 예측 모델에서 가장 중요한 변수는 CEA와 CA15-3 혈청 수준으로 확인되었다. 결과적으로 본 연구에서 제안된 인공신경망 기반 기계학습 모델과 종양표지자 혈청 수치는 유방암 예후 예측에 유용하게 작용될 것이라고 기대된다.

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6임상간호사의 COVID-19 백신 접종 의도에 대한 영향요인

저자 : 최연희 ( Yeonhui Choe ) , 차지은 ( Jieun Cha )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 48-56 (9 pages)

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Objectives: This study investigated psychosocial factors that influence nurse's intention to receive a COVID-19 vaccine. We focused on factors including COVID-19 knowledge, attitudes and beliefs related to COVID-19 vaccines, social contexts, and demographics. Methods: Data were collected from 200 nurses at five hospitals in Daegu between 12 April and 19 June 2021. We assessed COVID-19 knowledge, perceived susceptibility, severity, benefits, barriers, safety concerns, COVID-19 exposure, demographics, and the intention to get COVID-19 vaccines. Data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson correlation, and hierarchial multiple regression. Results: Of 200 participants, 180 (90.0%) reported an intention to obtain a vaccination against COVID-19. Among four health beliefs towards COVID-19 vaccines, perceived severity was the highest. Perceived benefits (r=0.42, p<0.001) were positively associated with vaccination intention, while perceived barriers (r=-0.32, p<0.001) and safety concerns (r=-0.20, p<0.001) negatively influenced vaccination intention. There were differences in the scores for vaccination intention according to hospital grade and work department. According to the regression analysis, perceived benefits and barriers were discovered to account for 21% of the variance in vaccination intention. Conclusions: This study offers a timely overview of psychosocial factors that are related to nurses' intention to get vaccinated for COVID-19. The vaccines' benefits need to be highlighted in campaigns and educations, and it is imperative to remain transparent and truthful in communications about the vaccine safety.

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7정신질환이 동반된 입원환자의 특성과 주진단과의 연관성

저자 : 김성수 ( Sung-soo Kim )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 57-65 (9 pages)

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Objectives: The purpose of this study was to determine the prevalence of the principal diagnosis among hospitalized patients with mental disorders and to investigate the association between the principal diagnosis and mental diseases as comorbidity. Methods: The subjects of this study were patients with mental disorders, regardless of the main diagnosis, among the Korean National Hospital Discharge In-depth Injury Survey (KNHDS) from 2006 to 2018. Frequency analysis was performed on the general characteristics, principal diagnosis, and mental disorders of the study subjects. The association between the principal diagnosis and mental diseases was analyzed for patterns using association rule mining (ARM). Results: The main result is that liver diseases are fairly associated with behavioral disorders due to psychoactive substance use. And then organic, including symptomatic, and mental disorders are associated with cerebrovascular diseases, Influenza and pneumonia, and other degenerative diseases of the nervous system. Mood disorders are linked to poisoning by drugs, medicaments, and biological substances. Conclusions: It is necessary to raise awareness of mental diseases and to build a care cooperative system between diseases that are highly associated. It will be possible to monitor key association rules and apply them to clinical decision-making systems.

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8중소병원 간호사의 안전문화인식, 간호근무환경, 전문직 자아개념이 환자안전간호활동에 미치는 영향

저자 : 조영옥 ( Young Ok Cho ) , 김명수 ( Myoung Soo Kim )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 66-73 (8 pages)

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Objectives: The purpose of this study was to investigate the influencing factors of perceived safety culture, nursing work environment, and professional self-concept on patient safety care activities of nurse in small-medium sized hospitals. Methods: A cross-sectional survey was used. Participants were 186 nurses in seven small-medium sized hospitals of a metropolitan city, in Korea. Data were analyzed using multiple linear regression analysis. Results: The influencing factors of the patient safety care activities were perceived patient safety culture and professional self-concept. These two factors explained for 15.1% of the patient safety acre activities. Conclusions: Based on the result of this study, it is necessary to build a good patient safety culture and to develop a positive professional self-concept. The establishment of a positive safety culture should be prioritized to quickly recognized and sensitively accept problems related to patient safety and actively carry out patient safety nursing activity. In order to improve the professional self-concept, it is necessary to increase the social performance for voluntary cooperation and to recognize the self-categorization that the group to which one belongs is distinguished from other groups.

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9확산 모형에 의한 첨단 영상진단 의료기기 수요확산의 특성 분석 및 수요예측에 관한 연구

저자 : 김수범 ( Su-beom Kim ) , 김태구 ( Taegu Kim ) , 임달오 ( Daroh Lim )

발행기관 : 한국보건정보통계학회 간행물 : 보건정보통계학회지 47권 1호 발행 연도 : 2022 페이지 : pp. 74-78 (5 pages)

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Objectives: In this study, we explore the demand forecasting of Advanced Diagnostic imaging Equipment. Methods: The analysis was based on logistic diffusion model. We analyze the specific pattern of each equipment's diffusion curve by interpreting the parameter estimates of logistic diffusion model. Results: Our findings are follows. First, Computed tomography is in the stage of saturation and so, the future demands of that is not too large. Second, Magnetic resonance imaging (MRI) is expected that it will take about 5 years to reach saturation, and further growth is expected to continue. Third, Positron emission tomography (PET) has been shown to be saturated, and therefore, it is not expected that there will be a rapid increase in demand in the future. However, since demand data has been declining since 2000, it is said that additional data collection is required to reliably predict future demand. Conclusions: As a result of analyzing the demand for three major advanced diagnostic imaging equipment, it was found that the domestic market is generally in saturation. Therefore, a future research task will be to predict and analyze the demand for advanced diagnostic imaging equipment in consideration of the government's policy changes.

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