Purpose: This study was conducted to examine the relationship between job stress and work-related musculoskeletal symptoms of hospital nurses. Method: The questionnaires were administered to 290 nurses working in a general hospital located in S city from September 1 to 15, 2008. The data were analysed with descriptive statistics, and logistic regression test by SPSS WIN 14.0. Results: With the NIOSH criteria 1, the musculoskeletal symptoms were prevalent in 66.8% of the subjects. The musculoskeletal symptoms by body parts appeared mostly on leg/foot(40.6%) and followed by shoulder (38.7%), waist(30.3%), neck(23.6%), hand/wrist/finger(14.0%) and arm/elbow(4.4%). There were statistically significant differences in prevalence rate of musculoskeletal symptoms by age, work department, career and job stress. Conclusion: When developing a management program for musculoskeletal symptoms of hospital nurses, it is necessary to fully understand nurses' work considering each hospital's nursing administration system.
Purpose: The objectives of this study were to determine the prevalence, incidence, and risk factors for postoperative surgical site infections (SSIs) after craniotomy. Methods: This study was a retrospective case-control study of 103 patients who had craniotomies between March 2007 and December 2008. A retrospective review of prospectively collected databases of consecutive patients who underwent craniotomy was done. SSIs were defined by using the Centers for Disease Control criteria. Twenty-six cases (infection) and 77 controls (no infection) were matched for age, gender and time of surgery. Descriptive analysis, t-test, $\chi^2$-test and logistic regression analyses were used for data analysis. Results: The statistical difference between cases and controls was significant for hospital length of stay (>14 days), intensive care unit stay more than 15 days, Glasgrow Coma Scale (GCS) score (${\leq}7$ days), extra-ventricular drainage and coexistent infection. Risk factors were identified by logistic regression and included hospital length of stay of more than 14 days (odds ratio [OR]=23.39, 95% confidence interval [CI]=2.53-216.11) and GCS score (${\leq}7$ scores) (OR=4.71, 95% CI=1.64-13.50). Conclusion: The results of this study show that patients are at high risk for infection when they have a low level of consciousness or their length hospital stay is long term. Nurses have to take an active and continuous approach to infection control to help with patients having these risk factors.
Widia, Fina;Hamid, Agus Rizal AH;Mochtar, Chaidir A;Umbas, Rainy
Asian Pacific Journal of Cancer Prevention
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제17권9호
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pp.4503-4506
/
2016
Background: Lymph node and distant metastases are known as the prognostic factor in renal cell carcinoma (RCC). Clinical parameters are needed to predict metastases preoperatively. The aim of this study was to assess clinical predictive factors for lymph node and distant metastases. Materials and Methods: We collected RCC data from January 1995 until December 2015 at Cipto Mangunkusumo hospital in Jakarta. We only reviewed data that had renal cell carcinoma histopathology by operation or biopsy. Clinical information such as patient age, gender, hemoglobin (Hb), erythrocyte sedimentation rate (ESR), and tumor size (clinical T stage) were reviewed and analyzed by Chi-squre and logistic regression to establish clinical predictive value. Results: A total of 102 patients were reviewed. There were 32 (31.4%) with lymph node metastases and 27 (26.5%) with distant metastases. Age, Hb and clinical T staging were associated with nodal metastases. However, only Hb and clinical T staging were found to be associated with distant metastases. By logistic regression, we found T3-4 in clinical T-stage to be the only predictor of nodal metastases (OR 5.14; 1.87 - 14.09) and distant metastases (OR 3.42; 1.27 - .9.23). Conclusions: Clinical T-stages of T3 and T4 according to The AJCC TNM classification could be used as independent clinical predictive factors for lymph node or distant metastases in patients with RCC.
Moon, Gi Ho;Cho, Jae-Woo;Kim, Beom Soo;Yeo, Do Hyun;Oh, Jong-Keon
Journal of Trauma and Injury
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제32권1호
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pp.40-46
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2019
Purpose: We perform an analysis of infection risk factors for fracture patients and confirm that the risk factors reported in previous studies increase the risk of actual infection among fractured patients. In addition, injury severity score (ISS) which is used as an evaluation tool for morbidity of trauma patients, confirms whether there is a relationship with infection after orthopedic fracture surgery. Methods: We retrospectively reviewed 1,818 patients who underwent fixation surgery at orthopedic trauma team, focused trauma center from January 1, 2015 to December 31, 2017. Thirty-five patients were infected after fracture surgery. We analyzed age, sex, open fracture criteria based on Gustilo-Aderson classification 3b, anatomical location (upper extremity or lower extremity) of fracture, diabetes, smoking, ISS. Results: Of 1,818 patients, 35 (1.9%) were diagnosed with postoperative infection. Of the 35 infected patients, nine (25.7%) were female and five (14.0%) were upper extremity fractures. Three (8.6%) were diagnosed with diabetes and eight (22.8%) were smokers. Thirteen (37.1%) had ISS less than nine points and six (17.1%) had ISS 15 points or more. Of 1,818 patients, 80 had open fractures. Surgical site infection were diagnosed in 12 (15.0%) of 80. And nine of 12 were checked with Gustilo-Aderson classification 3b or more. Linear logistic regression analysis was performed using statistical analysis program Stata 15 (Stata Corporation, College Station, TX, USA). In addition, independent variables were logistic regression analyzed individually after Propensity scores matching. In all statistical analyzes, only open fracture was identified as a risk factor. Conclusions: The risk factors for infection in fracture patients were found to be significantly influenced by open fracture rather than the underlying disease or anatomical feature of the patient. In the case of ISS, it is considered that there is a limitation. It is necessary to develop a new scoring system that can appropriately approach the morbidity of fracture trauma patients.
Purpose: Advanced airway maintenance improves the quality of cardiopulmonary resuscitation (CPR) for out-of-hospital cardiac arrest (OHCA) patients. In this study, we evaluate the factors associated with advanced airway management while performing CPR for out-of-hospital cardiac arrest patients by 119 emergency medical technicians (EMTs). Methods: The observational analysis method was used ro retrospectively collect data from 119 rescue run sheets. This study was conducted in a fire station in Seoul, Korea. The subjects of this study were defined as OHCA patients who received CPR from July 2016 to June 2018. We divided the subjects into two groups according to whether advanced airway maintenance was performed or not, and then compared and analyzed both groups. We performed logistic regression analyses for characteristics that differed significantly between groups. Results: Out of 188 OHCA patients, 146 (77.7%) had received advanced airway management. Statistically significant differences in the logistic analysis were found regarding the total number of EMT professionals (adjusted odds ration [aOR]: 1.955; 95% confidence interval [CI]: 1.227-3.115; p=0.005) and scene-time (aOR:1.119;95%CI:1.019-1.228;p=0.019). Conclusion: Advanced airway maintenance while performing CPR for OHCA patients by EMT associated primarily with ensuring an adequate numbers of EMT professionals and sufficient scene time.
Semi Lee;Han-Na Jung;Jia Ryu;Woo-Chul Jung;Yu-Mi Kim;Hyunjoo Kim
Annals of Occupational and Environmental Medicine
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제34권
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pp.32.1-32.12
/
2022
Background: This study was conducted to examine the relationship between chronotype and depressive symptoms to provide grounded knowledge in establishing nurses' health promotion strategies. Methods: The subjects of this study were 493 newly hired nurses working in 2 general hospitals within the university from September 2018 to September 2020. Sociodemographic and work-related characteristics were collected from a medical examination database and a self-reported questionnaire. These included sex, age, marital status, living situation, education level, alcohol consumption, physical activity, prior work experience before 3 months, workplace, and departments. To analyze the associations between the chronotype and depressive symptoms, multiple logistic regression analyses were performed to calculate odds ratios (ORs). Results: Among participants, 9.1% had depressive symptoms and 16.4% had insomnia. The subjects are divided into morningness (30.2%), intermediate (48.7%), and eveningness (21.1%). The multiple logistic regression analysis controlling for age, living status, education level, alcohol consumption, physical activity, workplace, prior work experience before 3 months, and insomnia, revealed that the OR of depressive symptoms in the eveningness group was 3.71 (95% confidence interval [CI]: 1.50-9.18) compared to the morningness group, and the R2 value was 0.151. It also can be confirmed that insomnia symptoms have a statistically significant effect on depressive symptoms (OR: 2.16, 95% CI: 1.03-4.52). Conclusions: Our findings suggest that evening-type nurses are more likely to have depression than morning-type nurses. We should consider interventions in a high-risk group such as the evening type nurses to reduce depressive symptoms in nurses.
Purpose. 1) To identify the time taken from symptom onset to the arrival at the hospital (pre-hospital delay time) and time taken from the arrival at the hospital to the initiation of the major treatment (in-hospital delay time) 2) to examine whether rapid treatment results in lower mortality. 3) to examine whether the pre- and in-hospital delay time can independently predict in-hospital mortality. Methods. A retrospective study with 586 consecutive AMI patients was conducted. Results. Pre-hospital delay time was 5.25 (SD=10.36), and in-hospital delay time was 1.10 (SD=1.00) hours for the thrombolytic therapy and 50.24 (SD=121.18) hours for the percutaneous transluminal coronary angio-plasty (PTCA). In-hospital mortality was the highest when the patients were treated between 4 to 48 hours after symptom onset using PTCA (p=.02), and when treated between 30 minutes and one hour after hospital arrival using thrombolytics (p=.01). Using a hierarchical logistic regression model, the pre- and in-hospital delay times did not predict the in-hospital mortality. Conclusion. Pre- and in-hospital delay times need to be decreased to meet the desirable therapeutic time window. Thrombolytics should be given within 30 minutes after arrival at the hospital, and PTCA should be initiated within 4 hours after symptom onset to minimize in-hospital mortality of AMI patients.
This study has been conducted to estimate the degree of cognition of military hospital services according to experience of military hospital services for serviceman, and to find out some factors affecting the medical services satisfaction. Questionnaires were given to 600 persons during October 5th though 24th 2009. All 600 questionnaires distributed affair, but 343 cases were collected. Statistical analysis methods used in this dissertation are t-test, Logistic Regression Analysis and other basic statistics such as frequency, percentage, and standard deviation using SPSS ver, 17.0. Results of the study are as follows: The satisfaction of the treat a patients' to compared military hospital and private hospital was providing free medical treatment for serviceman. The dissatisfaction of the treat a patients' to compared military hospital and private hospital was army doctors treated his very unfriendly. The level of medical treatment to providing military hospital was very low cognition for serviceman. In conclusion, to increase the preference of the military hospital is level of private hospital health care level of should be to developed. More support to financial should provide for medical workforce and setting of cutting edge medical equipment in the military hospital. Military hospital is should be competition with private hospital. Also should be improve the quality of military medical service.
Objective : The purpose of this study was to investigate prevalence of psychiatric symptoms and determine predictors of emotional distress of military hospital surgical patients. Methods : This study examined 104 orthopedic patients admitted to the Armed Forces Military Hospital September-November 2018. For the study, every subject completed self-assessment inventories regarding depressive and anxiety symptoms (Hospital Anxiety and Depression Scale), sleep problems (Pittsburgh Sleep Quality Index), problematic alcohol and tobacco use (Cut off, Annoyed, Guilty, Eye-opener screening), and psychiatric history. We performed the Student's t-test and the chi-square test for the collected data to investigate the prevalence of psychiatric symptoms, including emotional distress. Logistic regression analysis was used to examine the risk factors related to emotional distress of hospitalized military personnel. Results : There were no significant differences in socio-demographic and psychiatric symptoms between soldiers and officers. The prevalence of depressive and/or anxiety symptoms (emotional distress) was 21.2% (n=21). In the logistic regression analysis, psychiatric history [Adjusted Odds Ratio (AOR)=18.99 ; 95% Confidence Interval (CI)=1.42-253.57 ; p=0.026] and low military life satisfaction (AOR=15.67; 95% CI=1.46-168.11 ; p=0.023) correlated with emotional distress. Conclusion : Soldiers admitted to the military hospital showed similar prevalence of emotional distress as those at general hospitals. Considering military circumstances, it is necessary to detect and intervene regarding soldiers with a psychiatric history and low military life satisfaction to promote mental health at military hospitals.
Objectives: To evaluate the occurrence of patient adverse events in Korean hospitals as perceived by nurses and examine the correlation between patient adverse events with the nurse practice environment at nurse and hospital level. Methods: In total, 3096 nurses working in 60 general inpatient hospital units were included. A two-level logistic regression analysis was performed. Results: At the hospital level, patient adverse events included patient falls (60.5%), nosocomial infections (51.7%), pressure sores (42.6%) and medication errors (33.3%). Among the hospital-level explanatory variables associated with the nursing practice environment, 'physician-nurse relationship' correlated with medication errors while 'education for improving quality of care' affected patient falls. Conclusions: The doctor-nurse relationship and access to education that can improve the quality of care at the hospital level may help decrease the occurrence of patient adverse events.
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