1.How can we improve clinical research in clinical practice with better research outcome?
Keng Thye WOO ; Kok Seng WONG ; Evan J C LEE ; Choong Meng CHAN
Annals of the Academy of Medicine, Singapore 2011;40(11):499-506
This paper explains some of the difficulties doctors face when taking up a career in research. It describes the efforts by the government and the Ministry of Health (MOH) to nurture the Clinician Scientist Programme. The nature of research and the mindset of clinicians who are passionate about research are explored and the reasons which drive some of them to pursue a research career. It discusses the need to have structured training for research and how continuing research education is necessary for the researcher. The paper discusses the goals for research and how we can achieve better research outcomes and the importance of good mentorship. It suggests ways to engage more doctors in research in the restructured hospitals by overcoming some of the problems they encounter. Finally, it relates the Biomedical Science initiative of the government through the National Research Foundation and the various programmes in Translational Clinical Research available for clinicians who are keen on a research career.
Career Choice
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Goals
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Humans
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Physicians
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Research Personnel
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supply & distribution
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Singapore
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Translational Medical Research
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education
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manpower
2.Adjustment of Korean-American physicians in Korea: aspect of personal satisfaction.
Journal of Korean Medical Science 1999;14(4):359-364
This study was conducted to assess the psychosocial adjustment of Korean-American physicians in the aspect of personal satisfaction after returning to Korea. A questionnaire was mailed to 72 Korean-American physicians who were practicing medicine in Korea and forty physicians responded. These physicians, typically in their 50s, lived in America for 21-30 years before coming back to Korea. The most frequent motives for them to come back to Korea were giving back to their native country, longing for their native country, filial duty, and suggestions from their colleagues or professors to move back. Eighty percent of them were extremely satisfied or slightly satisfied with their work in Korea, and only 10% are extremely or slightly dissatisfied with their decision to return. Although most of them are content for the time being in Korea, only 12.5% have definite plans to stay in Korea after retirement. The variables that were most significantly related to personal satisfaction of returning to Korea were how well treated at work and how much satisfied with job rather than other factors such as motives for returning, duration of staying in America and in Korea, and family situation.
Adaptation, Psychological*
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Adult
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Emigration and Immigration
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Human
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Job Satisfaction
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Korea/ethnology
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Middle Age
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Personnel Selection
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Physicians/supply & distribution
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Physicians/psychology*
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Quality of Life
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Retirement*
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Schools, Medical/manpower
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United States/ethnology
3.Defect of current trauma emergency system in china and its possible solution.
Acta Academiae Medicinae Sinicae 2008;30(2):125-127
Many trauma victims occur in China every year, with a notably high mortality rate among those who suffered from multiple traumas such as severe traffic trauma. One of the main reasons is the defect of current trauma emergency system, in which the full-time trauma physician often lacks. It has therefore become urgent to establish a well-organized trauma emergency system with full-time physicians.
Accidents, Traffic
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statistics & numerical data
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China
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Emergency Service, Hospital
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manpower
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organization & administration
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standards
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Humans
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Multiple Trauma
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epidemiology
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Physicians
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supply & distribution
4.Relationship between job burnout and cognitive function and influencing factors of job burn out among medical staff.
Huizhen DU ; Liuhua QIN ; Haiying JIA ; Chao WANG ; Junya ZHAN ; Shuchang HE
Chinese Journal of Industrial Hygiene and Occupational Diseases 2015;33(9):676-678
OBJECTIVETo explore the relationship between job burnout and cognitive function and the influencing factors of job burnout among medical staff.
METHODSQuestionnaire survey was conducted for 197 medical workers in a grade-three general hospital in Beijing. Maslach Burnout Inventory-General Survey (MBI-GS) was carried out to assess the degree of job burnout among medical staff; Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was used to evaluate the overall cognitive function and cognitive situations of different dimensions.
RESULTS(1) There was a certain level of job burnout among medical staff, especially for the emotional exhaustion dimension (13.29 ± 7.67). (2) High level job burnout group (81.08 ± 12.34) scored lower on visual span than low level job burnout group (92.48 ± 19.62), P<0.05. Overall, job burnout had a negative influence on the general cognitive function (P<0.05). (3) The results of regression analysis indicated that, inefficacy was negatively correlated with age (r=-0.162, P<0.05). Job burnout was positively correlated with level of education (r=0.234, P<0.05) as well as exercise frequency (r=0.320, P< 0.001), and emotional exhaustion was correlated with overtime work (r=0.135, P<0.05); Level of job burnout stayed higher among doctors and nurses, compared with administration staff in hospitals (t=2.966, P<0.05).
CONCLUSIONJob burnout of medical staff was relatively in high level; influenced by age, education level, overtime work, exercise frequency and occupational type, job burnout affected the visual span and general cognitive function.
Burnout, Professional ; Cognition ; Hospitals ; Humans ; Medical Staff ; psychology ; Nurses ; supply & distribution ; Physicians ; psychology ; Regression Analysis ; Surveys and Questionnaires
6.Geographic Distribution of Urologists in Korea, 2007 to 2012.
Yun Seob SONG ; Sung Ryul SHIM ; Insoo JUNG ; Hwa Yeon SUN ; Soo Hyun SONG ; Soon Sun KWON ; Young Myoung KO ; Jae Heon KIM
Journal of Korean Medical Science 2015;30(11):1638-1645
The adequacy of the urologist work force in Korea has never been investigated. This study investigated the geographic distribution of urologists in Korea. County level data from the National Health Insurance Service and National Statistical Office was analyzed in this ecological study. Urologist density was defined by the number of urologists per 100,000 individuals. National patterns of urologist density were mapped graphically at the county level using GIS software. To control the time sequence, regression analysis with fitted line plot was conducted. The difference of distribution of urologist density was analyzed by ANCOVA. Urologists density showed an uneven distribution according to county characteristics (metropolitan cities vs. nonmetropolitan cities vs. rural areas; mean square=102.329, P<0.001) and also according to year (mean square=9.747, P=0.048). Regression analysis between metropolitan and non-metropolitan cities showed significant difference in the change of urologists per year (P=0.019). Metropolitan cities vs. rural areas and non-metropolitan cities vs. rural areas showed no differences. Among the factors, the presence of training hospitals was the affecting factor for the uneven distribution of urologist density (P<0.001).Uneven distribution of urologists in Korea likely originated from the relatively low urologist density in rural areas. However, considering the time sequencing data from 2007 to 2012, there was a difference between the increase of urologist density in metropolitan and non-metropolitan cities.
Cities/statistics & numerical data
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Health Services Accessibility/*statistics & numerical data/trends
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Korea/epidemiology
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Physicians/*supply & distribution/trends
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Republic of Korea/epidemiology
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Rural Health Services/*manpower/statistics & numerical data/trends
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Rural Population/statistics & numerical data/trends
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Urban Health Services/*manpower/statistics & numerical data/trends
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Urology/*manpower/*statistics & numerical data/trends
7.Symptom control problems in an Indian hospice.
Annals of the Academy of Medicine, Singapore 1994;23(2):287-291
Symptom control is the essence of palliative care but is not without problems, especially in the difficult socio-economic conditions of a developing country. We present our experience with over 2000 hospice admissions over six years in India's first hospice, to highlight our problems and the measures we have taken to solve them. The prevalent habit of tobacco smoking and chewing in India gives rise to a high incidence of head and neck cancers which form 50% of our admissions. Another 24% is formed by breast and gynaecological cancers. The difficult symptoms in head and neck cancers are pain, dysphagia, fungation and trismus. Almost 25% of our head and neck cancers have feeding tubes, which we feel are justified and most useful for medication and basic nutrition. Difficult problems in gynaecological cancers are pain, chronic blood loss, ulcerations and fistulae. The inadequate or sporadic availability of oral and injectable morphine adds to our problems in pain control. Non-compliance of patients to take adequate medications and the resistance from relatives make it sometimes difficult to achieve optimum symptom control. India has many systems of alternate and unorthodox medicine. We find that these are best tried outside the hospice unless they are in fully-studied clinical trials. In the end there is always the difficult choice of either remaining in the hospice for optimal symptom control or going back to their homes, where this may not be available.
Breast Neoplasms
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physiopathology
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therapy
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Choice Behavior
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Complementary Therapies
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Family
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psychology
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Female
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Genital Neoplasms, Female
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physiopathology
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therapy
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Head and Neck Neoplasms
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physiopathology
;
therapy
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Hospice Care
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methods
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Humans
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India
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Male
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Patient Acceptance of Health Care
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Pharmaceutical Preparations
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supply & distribution
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Practice Patterns, Physicians'
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Socioeconomic Factors
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Treatment Refusal
8.Effects of Physician Volume on Readmission and Mortality in Elderly Patients with Heart Failure: Nationwide Cohort Study.
Joo Eun LEE ; Eun Cheol PARK ; Suk Yong JANG ; Sang Ah LEE ; Yoon Soo CHOY ; Tae Hyun KIM
Yonsei Medical Journal 2018;59(2):243-251
PURPOSE: Readmission and mortality rates of patients with heart failure are good indicators of care quality. To determine whether hospital resources are associated with care quality for cardiac patients, we analyzed the effect of number of physicians and the combined effects of number of physicians and beds on 30-day readmission and 1-year mortality. MATERIALS AND METHODS: We used national cohort sample data of the National Health Insurance Service (NHIS) claims in 2002–2013. Subjects comprised 2345 inpatients (age: >65 years) admitted to acute-care hospitals for heart failure. A multivariate Cox regression was used. RESULTS: Of the 2345 patients hospitalized with heart failure, 812 inpatients (34.6%) were readmitted within 30 days and 190 (8.1%) had died within a year. Heart-failure patients treated at hospitals with low physician volumes had higher readmission and mortality rates than high physician volumes [30-day readmission: hazard ratio (HR)=1.291, 95% confidence interval (CI)=1.020–1.633; 1-year mortality: HR=2.168, 95% CI=1.415–3.321]. Patients admitted to hospitals with low or middle bed and physician volume had higher 30-day readmission and 1-year mortality rates than those admitted to hospitals with high volume (30-day readmission: HR=2.812, 95% CI=1.561–5.066 for middle-volume beds & low-volume physicians, 1-year mortality: HR=8.638, 95% CI=2.072–36.02 for middle-volume beds & low-volume physicians). CONCLUSION: Physician volume is related to lower readmission and mortality for heart failure. Of interest, 30-day readmission and 1-year mortality were significantly associated with the combined effects of physician and institution bed volume.
Aged
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Aged, 80 and over
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Cohort Studies
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Female
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Heart Failure/diagnosis/*mortality/therapy
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Hospitalization
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*Hospitals, High-Volume/statistics & numerical data
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*Hospitals, Low-Volume/statistics & numerical data
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Humans
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Male
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Middle Aged
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Patient Readmission/*statistics & numerical data
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Physicians/economics/*supply & distribution
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Proportional Hazards Models
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Quality Improvement
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Quality Indicators, Health Care/*statistics & numerical data
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Time Factors
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Treatment Outcome