• Title/Summary/Keyword: methods of data collection

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Cancer Incidence in Kangwha County(1986-1992) (강화지역 암의 발생률(1986-1992))

  • Kim, Soh-Yoon;Kang, Hyung-Gon;Kim, Suk-Il;Yi, Sang-Wook;Ohrr, Hee-Choul
    • Journal of Preventive Medicine and Public Health
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    • v.32 no.4
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    • pp.482-490
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    • 1999
  • Objectives : This paper presents the information on the incidence of cancer from the population-based cancer resistry in Kangwha County. Material and methods : This investigation is based on Kangwha cancer registry. The data included cases of cancer diagnosed from 1986 through 1992. The diagnosis of cancer was confirmed by a team of physicians and nurses with the medical records kept in the clinics and hospitals based on the diagnostic criteria recommended by WHO. Home visitings were also made to cancer patients confirmed in every 6 months for the follow up and for the collection of relevant information directly from the patients. Results : A total of 992 cancer cases were registered during 1986-1992. The age-adjusted cancer incidence rate of all site is 201.7 in men and 110.7 in women. The most common cancer is the stomach cancer in both sexes. The age-adjusted incidence rate of the stomach cancer is 65.9 in men and 25.0 in women per 100,000 population. The lung cancer(33.8) and liver cancer(27.7) are next common cancers in men. The cervical cancer(21.8) and lung cancer(8.4) are next in women. Conclusion : The most common cancer is the stomach cancer in both sexes. The annual age-adjusted incidence rate of the stomach cancer is 65.9 in men and 25.0 in women per 100,000 population.

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Effects of Third-Party Logistics Choice Factors on the Performance of Cyber Logistics (삼자물류선택요인들이 사이버물류성과에 미치는 영향에 관한 연구)

  • Park, Yeung-Kurn;Kim, Chang-Wan
    • Journal of Global Scholars of Marketing Science
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    • v.8
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    • pp.429-449
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    • 2001
  • Objectives of this study were: First, The Purpose of this study is to develope the concept of Third-Party Logistics choice factors and to review effects of Third-Party Logistics choice Factors on the Logistics Performance. Second, to set up research model specifying relationships between Third-Party Logistics choice factors and the Logistics Performance of EC(Electronic Commerce) firms. Third, to test hypotheses derived from the research model of this study and to attempts to explain how to have the effect the Logistics Performance of EC firms. Marketing Implications of this study were: First, As a result factor analysis, Third-Party Logistics choice Factors was divided into three dimensions, credibility, the pursuit of relationship, and assets factors. Second, three factors which are credibility, the pursuit of relationship, and assets factors increase and enhance the Logistics Performance of EC firms. Limitations of this study were: First, validity and reliability of data collection methods used in this study were questionable for the lack of past researches in korea. Second, static research method was employed in this study. Generalization over different time interval was almost impossible from results of this study.

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Profile of Non-Communicable Disease Risk Factors Among Employees at a Saudi University

  • Amin, Tarek Tawfik;Al Sultan, Ali Ibrahim;Mostafa, Ola Abdelmoniem;Darwish, Amr Ahmed;Al-Naboli, Mohamed Rashad
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.18
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    • pp.7897-7907
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    • 2014
  • Background: There is paucity of studies defining the prevalence of non-communicable disease (NCD) risk factors in Saudi Arabia despite the surging epidemic of obesity, change in dietary habits and sedentary lifestyle. Objectives: This cross-sectional study aimed to assess the prevalence of NCDs risk factors among employees at King Faisal University in Al Hassa, Saudi Arabia and to determine the possible correlates for clustering of NCDs risk factors among them. Materials and Methods: All employees were invited to participate; the World Health Organization STEPwise approach was used for data collection which consisted of a personal interview to collect socio-demographic characteristics, NCD history, tobacco use, vegetables and fruit consumption, and physical activity (PA), followed by anthropometric measurements namely weight, height and waist circumference and blood pressure measurements, subjects were finally subjected to biochemical tests with determination of fasting plasma glucose, serum triglycerides, cholesterol and high density lipoproteins. Results: Of the surveyed employees (n=691), daily current smokers accounted for 22.7%. 94.9%, 95.1% and 86% consumed < 5 servings per day of vegetables, fruits and both fruits and vegetables respectively, 73% were physically inactive, 64% were overweight or obese, 22.1% had hypertension, and 21.5% were diabetics. Elevated cholesterol levels were found in 36.6%, low high density lipoproteins in 36.8%, and elevated triglycerides in 36.1%. Only 3% had no NCD risk factors, and 57.6% had ${\geq}3$ factors. Multivariate logistic regression showed that gender (being male, adjusted odds ratio 'aOR'=1.51), aged ${\geq}50$ years (aOR=3.06), < college education (aOR=1.75), current smokers (aOR=2.37), being obese (aOR=6.96) and having a low PA level (aOR=4.59) were the significant positive predictors for clustering of NCD risk factors. Conclusions: Over fifty percent of the studied university's employees had multiple (${\geq}3$) NCD risk factors. Screening and health promotion initiatives should be launched at least targeting the modifiable factors to avert the excessive risk for cardiovascular disease, diabetes mellitus and several types of cancers.

Structural Equation Modeling Based on PRECEDE Model for the Quality of Life in the Elderly with Dementia in Rural Area (농촌지역 치매노인의 삶의 질 구조모형 - PRECEDE 모형 기반)

  • Mi-Soon, Song;Hyun-Li, Kim
    • Journal of agricultural medicine and community health
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    • v.47 no.4
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    • pp.242-254
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    • 2022
  • Purpose: This study was designed to test structural equation modeling of the quality of life of elderly diagnosed dementia living in the community in order to provide guidelines for development of intervention and strategies to improve their quality of life. Methods: The participants in the study were elderly who visited the public health center in C rural between May 30 and september 15, 2017. Data collection was carried out through one-on-one interviews. Demographic factors, knowledge, Attitude, Self-Efficacy, social support, accessibility, request for Information, health practice, depression, subjective memory complaints, dependence scale and quality of life were investigated. Results: The final analysis included 192 elderly. Fitness of the hypothesis model was appropriate(χ2=192.89, p=.000, GFI=0.90, SRMR=0.08, NNFI=0.94, CFI=0.95, PNFI=0.72, RMSEA=0.07). Depression, subjective memory complaints and dependence were found to be significant explaining varience in quality of life. Social support, dementia preventive behavior and health practice had an indirect effect on the quality of life. Conclusions: To improve the quality of life of elderly diagnosed dementia living in the community, comprehensive interventions are necessary to manage knowledge, attitude, self-efficacy, social support, health practice, depression, subjective memory complaints and dependence that can contribute to enchance the quality of life of elderly diagnosed dementia living in the community.

Intravenous Colistin Therapy for Multidrug-Resistant Gram-Negative Bacterial Infections in Major Burn Injuries (중증 화상환자에서 다약제내성그람음성균의 Colistin 치료)

  • Cho, Gi yuon;Yoon, Jaechul;Chun, Jin Woo;Kim, Youngmin;Yim, Haejun;Kym, Dohern;Hur, Jun;Chun, Wook;Cho, Yong Suk
    • Journal of the Korean Burn Society
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    • v.22 no.1
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    • pp.1-9
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    • 2019
  • Purpose: The aim of this study was to investigate the characteristics of Acute Kidney Injury Network (AKIN)-defined nephrotoxicity in patients undergoing intravenous colistimethate sodium (CMS) therapy for major burns. Methods: This retrospective study included burn patients who received more than 48 h of intravenous CMS between September 2009 and December 2015. Data collection was performed using the institution's electronic medical record system. Patients assigned to the developed nephrotoxic group experienced aggravation of current AKIN stage during CMS treatment; those assigned to the non-nephrotoxic group experienced no change in current or exhibited improved AKIN stage during CMS therapy. Results: A total of 306 patients were included in this study. All patients were grouped according to AKIN stage: AKIN 0 (n=152); AKIN 1 (n=6); AKIN 2 (n=9); AKIN 3 (n=139). The baseline creatinine (Cr) level was 0.73 mg/dL. The incidence of nephrotoxicity was 50.3% according to AKIN stage; overall mortality was 45.8%. The non-nephrotoxic group consisted of 127 (74.7%) patients and 43 (25.3%) were in the developed nephrotoxic group. In patients requiring continuous renal replacement therapy (CRRT), baseline Cr level was 0.83 mg/dL, pre-CMS Cr level was 1.17 mg/dL, and post-CMS Cr level was 1.34 mg/dL. Conclusion: CMS can be administered without signs of nephrotoxicity for a certain period (approximately 1 week), it can be used relatively safely for 2 weeks. Application of CMS is a reasonable option for treating infections caused by multi-drug resistant gram-negative bacteria in patients with major burns. The caution should be exercised nevertheless.

A Case Study of Improving Instruction by Utilizing Online Instruction Diagnosis Item Pool

  • SHIM, Mi-Ja
    • Educational Technology International
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    • v.6 no.2
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    • pp.23-41
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    • 2005
  • One of the main factors that determine the quality of instruction is the teaching ability of the instructor administering the class. To evaluate teaching ability, methods such as peer review, student feedback, and teaching portfolio can be used. Among these, because feedback from the students is directly associated with how well the students feel they have learned, it is essential to improving instruction and teaching ability. The principal aim of instruction evaluation lies in the evaluation of instructor's qualification and the improvement of instruction quality by enhancing professionalism. However, the mandatory instruction evaluations currently being carried out at the term's end in universities today have limitations in improving instruction in terms of its evaluation items and times. To improve the quality of instruction and raise teaching abilities, instruction evaluations should not stop at simply being carried out but also be utilized as useful data for students and teachers. In other words, they need to be used to develop teaching and improve instruction for teachers, and consequently, should also exert a positive influence on students' scholastic achievements and learning ability. The most important thing in evaluation is the acquisition of accurate information and how to utilize it to improve instruction. The online instruction diagnosis item pool is a more realistic feedback device developed to improve instruction quality. The instruction diagnosis item pool is a cafeteria-like collection of hundreds of feedback questions provided to enable instructors to diagnose their instruction through self-diagnosis or students' feedback, and the instructors can directly select the questions that are appropriate to the special characteristics of their instruction voluntarily make use of them whenever they are needed. The current study, in order to find out if the online instruction diagnosis item pool is truly useful in reforming and improving instruction, conducted pre and post tests using 256 undergraduate students from Y university as subjects, and studied the effects of student feedback on instructions. Results showed that the implementation of instruction diagnosis improved students' responsibility regarding their classes, and students had positive opinions regarding the usefulness of online instruction diagnosis item pool in instruction evaluation. Also, after instruction diagnosis, analyzing the results through consultations with education development specialists, and then establishing and carrying out instruction reforms were shown to be more effective. In order to utilize the instruction diagnostic system more effectively, from planning the execution of instruction diagnosis to analyzing the results, consulting, and deciding how those results could be utilized to instruction, a systematic strategy is needed. In addition, professors and students need to develop a more active sense of ownership in order to elevate the level of their instruction.

A Study on the Influence of Originality and Usefulness of Artificial Intelligence Music Products on Consumer Perceived Attractiveness and Purchase intention

  • Meilin, Jin
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.9
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    • pp.45-52
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    • 2020
  • In this paper, we propose an intention to study the purchase of smart music by Chinese consumers. To study the influence of the originality and usefulness of intelligent music products on the purchase intention of Chinese consumers, and to explore how the originality and usefulness of intelligent music products affect the purchase intention. To achieve this goal, 372 questionnaires were collected through the Internet for frequency analysis, factor analysis, confidence analysis and structural equation analysis of data collection, and were carried out by SPSSV22.0 and AMOSV22.0 methods. Research the validation of assumptions in the model to reveal the psychological and behavioral responses of consumers to smart music products. The results show that the originality and usefulness of new products not only directly affect the purchase intention of Chinese consumers, but also indirectly affect their purchase intention by enhancing their attractiveness. The conclusion of this study is of guiding significance for the development of intelligent music product development and marketing strategy.

Collaborative Disaster Governance Recognized by Nurses during a Pandemic (코로나19 대응 간호사가 인식하는 협력적 재난 거버넌스)

  • Rim, Dahae;Shin, Hyunsook;Jeon, Hyejin;Kim, Jieun;Chun, Hyojin;Oh, Hee;Shon, Soonyoung;Shim, Kaka;Kim, Kyung Mi
    • Journal of Korean Academy of Nursing
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    • v.51 no.6
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    • pp.703-719
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    • 2021
  • Purpose: We aimed to identify collaborative disaster governance through the demand and supply analysis of resources recognized by nurses during the COVID-19 pandemic. Methods: We used a descriptive study design with an online survey technique for data collection. The survey questions were developed based on focus group interviews with nurses responding to COVID-19 and expert validity testing. A 42-question online survey focusing on disaster governance was sent to nurses working in COVID-19 designated hospitals, public health offices, and schools. A total of 630 nurses participated in the survey. Demand and supply analysis was used to identify the specific components of disaster governance during a pandemic situation and analyze priority areas in disaster governance, as reported by nurses. Results: Demand and supply analysis showed that supplies procurement, cooperation, education, and environment factors clustered in the high demand and supply quadrant while labor condition, advocacy, emotional support, and workload adjustment factors clustered in the high demand but low supply quadrant, indicating a strong need in those areas of disaster governance among nurses. The nurses practicing at the public health offices and schools showed major components of disaster governance plotted in the second quadrant, indicating weak collaborative disaster governance. Conclusion: These findings show that there is an unbalanced distribution among nurses, resulting in major challenges in collaborative disaster governance during COVID-19. In the future and current pandemic, collaborative disaster governance, through improved distribution, will be useful for helping nurses to access more required resources and achieve effective pandemic response.

A Study on the Development of GIS Based Mitigation Scenario Support System Using QUAL2E Model for TMDL (TMDL 지원을 위한 QUAL2E 모델을 이용한 GIS기반의 삭감시나리오 작성 지원시스템 개발에 관한 연구)

  • Lee, Chol-Young;Kim, Kye-Hyun;Lee, Hyuk;Ryu, Kwang-Hyun
    • Journal of Korean Society of Environmental Engineers
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    • v.34 no.3
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    • pp.177-188
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    • 2012
  • This study was mainly focused on the development of GIS based decision support system to easily make mitigation scenarios and to conveniently simulate water quality for TMDL. The study area was the 31km section of upper Sapgyo stream in Geum river basin, and QUAL2E model was adopted. GIS DB was built through the collection of the data which includes point/non-point source attributes and various thematic maps. The amounts of discharged loads of BOD, T-N and T-P from unit watershed were estimated respectively. Finally, the system, which can operate water quality simulation through simply modifying their values, was developed. The hypothetical three mitigation scenarios were applied, thereby the most efficient mitigation scenario could be chosen by comparison of the results based on GIS. Therefore, it is expected that the developed system can facilitate the decision makers to select the best alternative through the analysis of the available BMPs. Also, it can be used to develop new scenarios using different methods and algorithms. In the future, more study need to be made to enhance its applicability in the perspective of developing mitigation scenarios through the management of individual pollutant sources and extending study areas.

Development of the Algofithm for Gaussian Mixture Models based Traffic Accident Auto-Detection in Freeway (GMM(Gaussian Mixture Model)을 적용한 영상처리기법의 연속류도로 사고 자동검지 알고리즘 개발)

  • O, Ju-Taek;Im, Jae-Geuk;Yeo, Tae-Dong
    • Journal of Korean Society of Transportation
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    • v.28 no.3
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    • pp.169-183
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    • 2010
  • Image-based traffic information collection systems have entered widespread adoption and use in many countries since these systems are not only capable of replacing existing loop-based detectors which have limitations in management and administration, but are also capable of providing and managing a wide variety of traffic related information. In addition, these systems are expanding rapidly in terms of purpose and scope of use. Currently, the utilization of image processing technology in the field of traffic accident management is limited to installing surveillance cameras on locations where traffic accidents are expected to occur and digitalizing of recorded data. Accurately recording the sequence of situations around a traffic accident in a freeway and then objectively and clearly analyzing how such accident occurred is more urgent and important than anything else in resolving a traffic accident. Therefore, in this research, existing technologies, this freeway attribute, velocity changes, volume changes, occupancy changes reflect judge the primary. Furthermore, We pointed out by many past researches while presenting and implementing an active and environmentally adaptive methodology capable of effectively reducing false detection situations which frequently occur even with the Gaussian Mixture model analytical method which has been considered the best among well-known environmental obstacle reduction methods. Therefore, in this way, the accident was the final decision. Also, environmental factors occur frequently, and with the index finger situations, effectively reducing that can actively and environmentally adaptive techniques through accident final judgment. This implementation of the evaluate performance of the experiment road of 12 incidents in simulated and the jang-hang IC's real-time accident experiment. As a result, the do well detection 93.33%, false alarm 6.7% as showed high reliability.