No abstract available.
Dyspepsia*

No abstract available.
Humans ; Physicians, Primary Care* ; Primary Health Care* ; Tremor*

Information on productivity of hospital personnel is required for optimum staffing and hospital management. This study deals with the quantitative aspects of workload of medical personnel in training hospitals by their specific characteristics. Specifically this study attempted to fine relevant determinants of the productivity of medical personnel using multiple stepwise regression analysis based on data obtained from 135 training hospitals. The findings of this study were as follows: 1) Daily average number of outpatients and inpatients treated by a physician were 20.4 and 10.2, respectively. 2) Daily average number of patients cared by a nurse was 8.2. Daily average number of tests performed by pathologic technician and radiologic technician were 83.2 and 21.5, respectively. 3) Productivity of medical personnel were significantly different for the three groups of factors: hospital size (number of beds, number of medical personnel per 100 beds); institutional characteristics (medical school affiliation, training type, profit status); and environmental factors (location, number of physician and beds per 1,000 population in the region). 4) The factors affecting the productivity varied according to the types of medical profession: the number of beds, the number of physicians per 100 beds, training type, and profit status for physicians; the number of nurses per 100 beds, the number of beds, medical school affiliation for nurses; the number of physicians per 100 beds, the number of technicians per 100 beds, and ownership for pathologic technicians; the number of technicians, training type, and the number of physicians per 100 beds for radiologic technician.
Efficiency* ; Health Facility Size ; Humans ; Inpatients ; Outpatients ; Ownership ; Personnel, Hospital ; Schools, Medical

No abstract available.
Asthma*

No abstract available.

No abstract available.

No abstract available.

No abstract available.
Endocrine System Diseases* ; Nuclear Medicine*

Thoracic kyphosis was measured on chest lateral radiographs of 885 normal subjects, comprising of 509 males and 346 females. Subjects were accepted as normal if they had no problems of lung, heart of spine such as scoliosis or significant compression fracture radiologically. Kyphotic angle was measured by Cobbs method from T3 to T10. Index of wedging which represents the wedging degree of vertebral body was measured on apical vertebra, and also the location of apical vertebra was studied. The results obtained were as follows: 1. Kyphotic angle through all age groups showed the range 17°–33° in males and 17°–34° in females. 2. Kyphotic angle increased with the increase of age, but not related with sex. Therefore normal range of kyphotic angle should be determined in respective age group accordingly. 3. Index of wedging in apical vertebra through all age groups showed the range of 1.07–1.21 in males and 1.07–1.23 in females. 4. Index of wedging increased with the increase of age, and normal range of index of wedging in respective age group was supposed to be more significant. 5. There was no correlations between the regression of kyphotic angle and index of wedging. 6. The most frequent apical vertebra was located on T6, and then T7 and T5 in order.
Female ; Fractures, Compression ; Heart ; Humans ; Kyphosis ; Lung ; Male ; Methods ; Reference Values ; Scoliosis ; Spine ; Thorax

The purpose of study was to identify relationship between body image and depression of diabetes mellitus patients. The subjects of study were 120 diabetes mellitus patients who were B hospital in Pusan. Data were collected from 15th April to 20th August, 1998. The instrument used for this study were Osgood's body image scale and Zung's depression scale. The collected data were analyzed frequency, percentage, mean, standard deviation, t-test, ANOVA, Scheffe test, Pearson's correlation coefficients. The results were as follows: 1. The mean score of body image was 68.91+/-8.04, and the mean score of depression was 56, 18+/-1.58. 2. The score of body image according to marital status(t=-2.434, p = ,016). economic status (F=6.252, p=.001), reason of different regular hospital visiting(F=3.017, p=.014), treatment method of diabetes mellitus (F=3.048, p=.013) were significantly difference. ere significantly difference. The score of depression according to sex(t= 2.353, p= .020). occupational status (F=4.657, p=.002), marital status(t=-2.325, p=.022), economic status(F=5.536, p=.001), regular hospital visiting(t=2.081. p=.040), reason of different regular hospital visiting(F=3.352, p=.007), treatment method of diabetes mellitus(F=3.102. p=.012), paticipation of diabetes mellitus(t=3.726, p = .000), paticipation of diabetes mellitus visiting(F=4,819. p=.003) were significantly difference. 5. Body image and depression was a significant negative correlation(r=-.679. p=.000).
Body Image* ; Busan ; Depression* ; Diabetes Mellitus* ; Employment ; Humans