• Title/Summary/Keyword: Health demand

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The Supply and Demand Projection of Nurses in Korea (간호사인력의 수요와 공급 추계)

  • 김진수;최은영;박현애;이우백
    • Health Policy and Management
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    • v.9 no.3
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    • pp.33-52
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    • 1999
  • The purpose of this study is to project the supply and demand for nurses till the year 2012 and to make recommendations for establishment of proper policies regarding them. To predict the supply of nurses. a baseline projection and demographic methods were employed. The derivative demand was used to forecast the demand of nurses. The results of this study provide us with valuable information on nursing manpower planning for the 21th century. Specifically. results indicate that there will be an oversupply of nurses in the near future based on the current productivity. Based on the medical law. there will be an undersupply of nurses till 2002 but an oversupply after that. Thus. the active supply of nurses must be decreased. One way to achieve this would be decreasing the size of training and education. Thus. we recommend that the number of entrances to 4 year programs will be reduced 20% in 2004. and a reduction of 20% by 2005 in 3 year programs. The results of this study suggest the following: First. a manpower bank for nurses who are trying to reenter the market must be established. Second, improvement of education and retraining is needed for the quality control of nurses. Further studies should take into consideration the above factors.

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Discharge Education and Educational Demands After Hospital Discharge for Mothers of Pediatric Cancer Patients (암 환아 어머니가 받은 퇴원시 교육정도와 퇴원후 교육요구도)

  • Kim, Young-Hae;Jeung, Eun-Ok;Cho, Young-Ran;Yang, Young-Ok
    • Child Health Nursing Research
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    • v.12 no.2
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    • pp.268-276
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    • 2006
  • Purpose: this study is attempted to provide basic data on development of systematic discharge educational programs for discharging cancer patients. Method: The subjects of this study were 132 mothers whose children were diagnosed with cancer and being treated at 3 university hospitals in Busan. The data were collected from December 1 to February 28, 2005, and were analyzed Using SPSS WIN 10.0. Result: The degree of education at the time of discharge from hospital was statistically significantly lower than that of educational demand after the discharge. Such demand significantly varied in accordance with the length of period passed after the discharge. Mother’s educational demand was significantly different in accordance with generation characteristics of her child with cancer, especially the first period of hospitalization and change in weight Conclusions: mothers of children with cancer were higher in educational demand after the child’s discharge from hospital than in education provided at the time of the discharge. Such demand was different in accordance with the length of period passed after the child's discharge from hospital.

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Research on the development of demand for medical and bio technology using big data (빅데이터 활용 의학·바이오 부문 사업화 가능 기술 연구)

  • Lee, Bongmun.;Nam, Gayoung;Kang, Byeong Chul;Kim, CheeYong
    • Journal of Korea Multimedia Society
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    • v.25 no.2
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    • pp.345-352
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    • 2022
  • Conducting AI-based fusion business due to the increment of ICT fusion medical device has been expanded. In addition, AI-based medical devices help change existing medical system on treatment into the paradigm of customized treatment such as preliminary diagnosis and prevention. It will be generally promoted to the change of medical device industry. Although the current demand forecasting of medical biotechnology commercialization is based on the method of Delphi and AHP, there is a problem that it is difficult to have a generalization due to fluctuation results according to a pool of participants. Therefore, the purpose of the paper is to predict demand forecasting for identifying promising technology based on building up big data in medical biotechnology. The development method is to employ candidate technologies of keywords extracted from SCOPUS and to use word2vec for drawing analysis indicator, technological distance similarity, and recommended technological similarity of top-level items in order to achieve a reasonable result. In addition, the method builds up academic big data for 5 years (2016-2020) in order to commercialize technology excavation on demand perspective. Lastly, the paper employs global data studies in order to develop domestic and international demand for technology excavation in the medical biotechnology field.

Demand on Nursing Services in 7 Korean Diagnostic-Related Group (7개 포괄수가 질환군 대상 간호요구도 분석)

  • Choi, Youn Jeong;Lee, Youngjin;Seo, Young Min;Lim, Ji Young
    • Journal of Home Health Care Nursing
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    • v.24 no.2
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    • pp.151-159
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    • 2017
  • Purpose: The purpose of this study was to identify nursing demands according to general characteristics and diseases of inpatients to whom comprehensive payment systems apply. Methods: This study was designed as a retrospective research study using the electronic medical records of Hospital Information Systems (HIS). Participants were 836 subjects who received seven Diagnostic-Related Group diagnoses among inpatients of one tertiary hospital from January 1, 2015 to June 30, 2015. Data were analyzed using SPSS 23.0. Results: Nursing demand among inpatients'seven Diagnostic-Related Group diagnoses was relatively higher for appendectomy, cataract surgery, and hysterectomy, while there was a significant difference depending on the age, duration of admission, admission path, hospital entry method and Diagnostic-Related Group. Conclusion: The results can be utilized as basic data on accurate nursing demands that reflect various features of patients.

Investigation of Demand-Control-Support Model and Effort-Reward Imbalance Model as Predictor of Counterproductive Work Behaviors

  • Mohammad Babamiri;Bahareh Heydari;Alireza Mortezapour;Tahmineh M. Tamadon
    • Safety and Health at Work
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    • v.13 no.4
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    • pp.469-474
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    • 2022
  • Background: Nowadays, counter-productive work behaviors (CWBs) have turned into a common and costly position for many organizations and especially health centers. Therefore, the study was carried out to examine and compare the demand-control-support (DCS) and effort-reward imbalance (ERI) models as predictors of CWBs. Methods: The study was cross-sectional. The population was all nurses working in public hospitals in Hamadan, Iran of whom 320 were selected as the sample based on simple random sampling method. The instruments used were Job Content Questionnaire, Effort-Reward Imbalance Questionnaire, and Counterproductivity Work Behavior Questionnaire. Data were analyzed using correlation and regression analysis in SPSS18. Results: The findings indicated that both ERI and DCS models could predict CWB (p ≤ 0.05); however, the DCS model variables can explain the variance of CWB-I and CWB-O approximately 8% more than the ERI model variables and have more power in predicting these behaviors in the nursing community. Conclusion: According to the results, job stress is a key factor in the incidence of CWBs among nurses. Considering the importance and impact of each component of ERI and DCS models in the occurrence of CWBs, corrective actions can be taken to reduce their incidence in nurses.

A REVIEW ON THE DEMAND ESTIMATION MODEL FOR THE PEDIATRIC DENTISTS IN KOREA (소아치과 전문의 수요추계 모형에 관한 고찰)

  • Lee, Moon-Young;Jeong, Tae-Sung;Kim, Shin
    • Journal of the korean academy of Pediatric Dentistry
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    • v.34 no.1
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    • pp.43-52
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    • 2007
  • The supply and demand planning the pediatric dentists is earnest, because of the start of the dental specialist system on 2008 and aging society with low fertility. Therefore in order to develop the model, that is adequate to estimate demand for the pediatric dentists, a studies on the supply and demand planing of other health manpower were reviewed. The obtained results were as follows : 1. The health demand method was appropriate for demand estimation of the pediatric dentists. 2. There was independent variables needed for demand estimation model: prevalence, utilization rate, referral rate, fertility rate, productivity, annual working days, and so on. 3. Since statistical data for application of these variables was insufficient as result of searching, questionnaire researching and discussion of specialist may be necessary. 4. Each independent variables should be inducted into an equation by using a adequate regression model and then estimated.

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Inorganic Salts which effect on IDOD Value (IDOD에 영향(影響)을 주는 환원성호기물에 관(關)한 연구(硏究))

  • Kim, Hang-Joon
    • Journal of Preventive Medicine and Public Health
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    • v.11 no.1
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    • pp.83-85
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    • 1978
  • IDOD (Immediate Dissolved Oxygen Demand) is a value of the oxygen demand after 15 minute of inoculation by inorganic reducing salts. Industrial development and urban enlargement are bringing water pollution deeply, and industrial waste waters are the source of the inorganic reducing salts. Author investigated the IDOD value change according to the inorganic salts and gained the following results: 1. IDOD value influenced by $Na_{2}SO_3$ is 81.4 ppm. 2. Generally sulfur compounds are highly effecting on IDOD. 3. The nitrite salt had little influence on IDOD.

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The Effect of Hospital Environment on Employee레s Job Stress (병원 근로자의 직무스트레스 현황과 요인분석)

  • 정진주
    • Journal of Environmental Health Sciences
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    • v.28 no.3
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    • pp.72-76
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    • 2002
  • This study aims to explore the importance of job stress for hospital employees and psychosocial risk factors of their job stress. 1,890 survey questionnaires collected from 14 hospitals are used for the analysis. The study results shows that stress is the most important risk factor perceived by hospital workers. Also stress-related symptoms and diseases are perceived to occur most frequently among hospital employees. The multiple logistic regression analysis shows age, working hours, shiftwork, job demand, decision-latitude and social support from supervisor and colleagues affect stress level of hospital employees.

Biomaterials Demand of Medicinal Crops (약용작물의 바이오소재 수요 분석)

  • Ahn, Byeong-Il;Kim, Yong-Lyoul
    • Korean Journal of Organic Agriculture
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    • v.31 no.4
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    • pp.291-307
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    • 2023
  • Medicinal crops are the most representative input among agricultural products for biomaterials. The actual situation of how medicinal crops are used as inputs in the downstream industry is analyzed, and the input demand function of medicinal crops is quantitatively estimated. The proportions of intermediate demand and final demand in the total production of medicinal crops were 52.1% and 47.9% in 1995, but changed to 74% and 26% in 2019, with the proportion of intermediate demand accounting for approximately increased by 3 times. Estimation results of the demand function for medicinal crops in the medicine industry show, a 1% increase in the production of medicine is found to increase the demand for medicinal crops by 0.3369%. If the production of health functional foods increase by 1%, the demand for medicinal crops is expected to increase by 0.6221%. It is also found that a 1% increase in the amount of cosmetic production would increase in the demand for medicinal crops by 0.3932%. This indicates that market expansion in downstream industries can have a significant impact on agricultural products for biomaterials.

Estimating need for Home Visiting Nurse from Public Health Centers (보건소 방문건강관리사업을 위한 간호사 인력의 적정 수요 추정)

  • Bae, Hyun-Ji;Kim, Jinhyun
    • Perspectives in Nursing Science
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    • v.12 no.1
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    • pp.23-32
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    • 2015
  • Purpose: This study attempted to estimate the need for home visiting nurse at public health centers. Methods: A model was generated to estimate a community's home visiting health service needs in 16 regions and a workload analysis was adopted to estimate the number of required Nurses. Data were collected from 16 public health centers using the South Korean government's open-information systems. Subjects were divided into three groups: vulnerable social group, bottom 10% income group, and bottom 20% income group. Results: The analysis revealed that 2,158 and 6,667 nurses were needed to provide home visiting health service for the bottom 10% and 20% income groups, respectively. It was estimated that for the vulnerable social group, 10,336 nurses were needed to provide home visiting health service, implying that the need-based demand for nurses is well over 5 times the number currently employed. Conclusion: The results indicate that the number of currently employed nurses is insufficient for the health management of vulnerable social groups. The government should consider active employment policies to encourage nurses to apply for home visiting health service.