전북지역 일부 학교 영양사의 건강기능식품 인식 및 이용실태 (School Dietitians' Perceptions and Intake of Healthy Functional Foods in Jeonbuk Province)
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- 한국식품영양과학회지
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- 제36권9호
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- pp.1172-1181
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- 2007
본 연구는 전북지역 학교 영양사 226명을 대상으로 건강기능식품 섭취실태 및 인식도를 알아보고자 설문조사를 실시하였으며 연구결과를 요약하면 다음과 같다. 조사대상자의 일반적 특징은 여자가 98.7%였고, 연령은 30
치의학계에서는 의료사고를 일으킬만한 중환자나 응급환자의 빈도가 상대적으로 낮아 의료분쟁에 휘말리는 경우가 적었으나 요즈음은 의료분쟁이 증가하고 있는 추세이다. 치과진료의 특성상 항상 보조인력이 한, 두명씩 치과의사의 진료를 도와주어야 하고, 치과의사의 의료사고로 인해 의료분쟁으로 발생하는 경우도 있지만 의료법에서 정한 치과 보조인력의 진료영역에서 의료사고 및 분쟁이 발생할 수 있다. 또한 의료기관의 친절도, 서비스 불만 등 진료외적인 요인은 치과 보조인력의 역할을 무시할 수 없다. 본 연구는 2006년 현재 종합병원, 치과병원 및 의원에서 치과진료 보조업무를 하고 있는 치과위생사를 대상으로 설문조사를 하였다. 회수된 275명의 설문분석을 통하여 응답자에 관한 기본적인 자료조사 및 환자의 불평, 불만 및 의료분쟁 경험도와 함께 의료관계법의 이해도를 측정하고, 치과진료 및 의료분쟁에 대한 전반적인 의식성향을 비교분석하여 다음과 같은 결과를 얻었다. 1. 설문응답자 중에서 향후 의료사고 및 분쟁이 발생할지도 모른다는 불안감 또는 의구심을 어느 정도 가지고 있는 경우가 274명 중 251명(91.3%)이었다. 2. 치과위생사의 업무, 진료에 대한 환자의 불평, 불만 경험률은 29.5%(81명)으로 나타나 치과관련 의료분쟁의 원인이 될 수 있는 것으로 조사되었다. 3. 전체유형별 항목에 따른 환자의 문제제기 건수를 보면 직접적인 진료행위와 관련된 문제보다 불친절 및 진료비 등의 진료이외의 문제 제기가 1805건 중 349건(19.3%)으로 가장 높게 나타났다. 4. 세부유형별 항목에 따른 환자의 문제제기 건수를 보면 환자가 치료와 관련하여 충분한 사전설명이나 동의를 구하지 않았다고 문제시 한 경우가 1805건 중 129건(7.1%)으로 가장 높았다. 5. 치과위생사가 스케일링 시술 후 환자 진료기록부에 기록하는 경우는 267명 중 252명(94.4%)으로 나타났으나, 스케일링 시술 후 주의사항 설명 사실을 진료기록부에 기록하는 경우는 55명(20.8%)에 불과했다. 6. 치과진료에 있어서 환자가 언급하지 않으면 특별히 전신질환 유무를 조사하지 않는 경우가 6명(2.2%)으로 조사되었다. 7. 환자 진료와 관련되어 응급상황 발생 시 응급조치를 시행할 수 있다고 생각하는 치과위생사는 104명(38.0%)으로 조사되었다. 8. 근무지에 응급상황 발생 시 조치에 필요한 장비 및 약품을 구비해둔 경우는 115명(41.8%)으로 나타났다. 9. 의료분쟁 발생 시 문제해결에 있어 의무기록이 중요한 역할을 한다고 응답한 경우는 268명(97.81%)으로 나타났다. 10. 의료분쟁 시 문제해결에 있어서 치료 전 설명 및 동의의 의무의 이행 여부가 중요한 역할을 한다고 응답한 경우가 272명 (99.3%)으로 나타났다. 11. 의무기록의 의무보관연도가 10년이라고 옳게 응답한 경우는 160명(58.4%)에 불과했다. 12. 치과위생사의 업무를 벗어난 파노라마사진 촬영을 해도 된다고 응답한 경우가 124명(45.3%), 치경부 레진수복을 해도 된다고 응답한 경우가 71명(25.9%), 유치발치를 해도 된다고 응답한 경우가 37명(13.5%)으로 나타났다. 13. 환자의 비밀누설 금지와 관련하여 환자의 상태를 다른 사람에게 이야기하는 것은 큰 문제가 되지 않는다고 응답한 경우가 24명(8.8%)으로 나타났다. 14. 의료분쟁의 예방 및 대책에 관한 교육의 필요성에 대해서 272명(99.3%)이 필요하고, 167명(61.0%)이 시급하다고 답하였다. 15. 재학 중 의료분쟁의 예방 및 대책에 관한 관련교육을 수료한 적이 없다는 경우가 186명(64.2%), 졸업 후 의료분쟁의 예방 및 대책에 관한 보수교육을 수료한 적이 없는 경우가 212명(77.4%)으로 나타났다. 16. 향후 의료분쟁이 증가할 것으로 생각된다는 응답은 256명(93.4%)이었고, 그 원인으로는 83.3%가 인터넷, 방송 등의 매체를 통한 정보습득 기회의 확대를 꼽았다. 이상의 결과를 종합해보면 치과위생사와 관련한 환자의 불평, 불만 및 분쟁도 경험률이 응답한 치과위생사의 29.5%를 차지하고 있으며, 의료법에서 정한 의료인의 의무와 치과위생사의 직무범위에 대한 인식이 부족한 것으로 조사되어 앞으로 의료분쟁이 더욱 증가할 수 있는 가능성을 내포하고 있다. 그러므로 주의의무, 설명 및 동의의무 등의 의무를 다함은 물론, 이에 대한 인식을 제고하여야 하며, 의료법과 의료분쟁에 대한 예방 및 대책과 관련된 교육기회를 확대하여야 할 것이다.
본(本) 연구(硏究)는 우리나라 채석업체(採石業體)의 경영개선(經營改善)을 위한 기초자료(基礎資料)를 제공(提供)할 목적(目的)으로 실시(實施)되었다. 이를 위하여 골재용(骨材用) 채석업체(採石業體) 30개소(個所)와 건축용(建築用) 채석업체(採石業體) 46개소(個所)의 경영실태(經營實態)와 경영성과(經營成果), 생산요소(生産要素) 투입(投入)의 경제성(經劑性), 적정규모(適正規模) 등을 분석(分析)하였으며, 그 결과(結果)를 요약(要約)하면 다음과 같다. 1. 골재용(骨材用) 채석업체(採石業體)와 건축용(建築用) 채석업체(採石業體)의 경영주(經營主) 연령(年齡) 40재(才) 이상(以上)이 각각(各各) 97%, 89.1% 이었고, 고졸이상(高卒以上) 학력(學歷) 소지자(所持者)가 각각(各各) 90%, 85% 이었다. 또한, 경력면(經歷面)에서 10년(年) 이하(以下)의 경영주(經營主)는 골재용(骨材用) 채석업체(採石業體)에서 70%, 건축용(建築用) 채석업체(採石業體)에서 52% 이었다. 따라서, 두 채석업체(採石業體)에 대한 경영주(經營主)의 대부분(大部分)은 고령(高齡), 고학력(高學歷) 소지자(所持者)이며, 경력면(經歷面)에서는 골재용(骨材用) 채석업체(採石業體)가 건축용(建築用) 채석업체(採石業體)보다 다소 낮게 나타났다. 2. 골재용(骨材用) 채석업체(採石業體)에 대한 경영조직(經營組織)의 형태(形態)는 회사법인(會社法人)이 60%로 많은 반면(反面), 건축용(建築用) 채석업체(採石業體)는 개인업체(個人業體)가 76%로 많게 나타났다. 골재용(骨材用) 채석업체(採石業體)의 허가면적(許可面積)은 약(約) 2.86ha, 건축용(建築用) 채석업체(採石業體)는 1.66ha으로 나타났다. 여기에서, 골재용(骨材用) 채석업체(採石業體)가 건축용(建築用) 채석업체(採石業體)보다 큰 규모(規模)로 경영(經營)되고 있음을 알 수 있다. 3. 골재용(骨材用) 채석업체(採石業體)의 연평균(年平均) 채석량(採石量)은 1985년(年)의
To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.
1. The 'Kao Zheng Pai(考證派) comes from the 'Zhe Zhong Pai' and is a school that is influenced by the confucianism of the Qing dynasty. In Japan Inoue Kinga(井上金娥), Yoshida Koton(吉田篁墩) became central members, and the rise of the methodology of historical research(考證學) influenced the members of the 'Zhe Zhong Pai', and the trend of historical research changed from confucianism to medicine, making a school of medicine based on the study of texts and proving that the classics were right. 2. Based on the function of 'Nei Qu Li '(內驅力) the 'Kao Zheng Pai', in the spirit of 'use confucianism as the base', researched letters, meanings and historical origins. Because they were influenced by the methodology of historical research(考證學) of the Qing era, they valued the evidential research of classic texts, and there was even one branch that did only historical research, the 'Rue Xue Kao Zheng Pai'(儒學考證派). Also, the 'Yi Xue Kao Zheng Pai'(醫學考證派) appeared by the influence of Yoshida Kouton and Kariya Ekisai(狩谷掖齋). 3. In the 'Kao Zheng Pai(考證派)'s theories and views the 'Yi Xue Kao Zheng Pai' did not look at medical scriptures like the "Huang Di Nei Jing"("黃帝內經") and did not do research on 'medical' related areas like acupuncture, the meridian and medicinal herbs. Since they were doctors that used medicine, they naturally were based on 'formulas'(方劑) and since their thoughts were based on the historical ideologies, they valued the "Shang Han Ja Bing Lun" which was revered as the 'ancestor of all formulas'(衆方之祖). 4. The lives of the important doctors of the 'Kao Zheng Pai' Meguro Dotaku(目黑道琢) Yamada Seichin(山田正珍), Yamada Kyoko(山田業廣), Mori Ritsi(森立之) Kitamura Naohara(喜多村直寬) are as follows. 1) Meguro Dotaku(目黑道琢 1739
1.The 'Kao Zheng Pai'(考證派) comes from the 'Zhe Zhong Pai(折衷派)' and is a school that is influenced by the confucianism of the Qing dynasty. In Japan Inoue Kinga(井上金峨), Yoshida Koton(古田篁墩