Background : The purpose of this study was to investigate the incidence of unplanned endotracheal extubation and to identify the influencing factor of unplanned extubation in ICUs for providing baseline data in developing prevention strategies and administrative standards. the medical records and hospital information system. In order to analyze factors related to unplanned extubation, the subjects of this study were divided by unplanned extubation group and planned extubation group and were matched by its sex, age, and disease groups in a ratio of one to two. The data were analyzed by descriptive statistics, ${\chi}^2$- test, t-test, Fisher's exact test, and logistic regression analysis with SPSSWIN 10.0 program. Result : 1) Forty-seven(4.99%) of 942 intubated patients experienced unplanned extubation 65 times during the twelve-month period. Thirtyfour( 72.34%) of 47 unplanned extubated patients required reintubation, whereas thirteen patients(27.66%) did not. 2) About half of unplanned extubation(46.8%) occurred during the night shift. 3) As for the nursing activity, respiratory nursing activity score(P=.0.06) and total nursing activity score(P=.011) showed statistically significant differences between unplanned extubation group and planned extubation group. 4) As for the patient status, unplanned extubation group showed more lower consciousness level(P=.000), more irritable or agitated behavior(P=.000), and had more applied physical restraints(P=.000) than planned extubation group. 5) As for the intubation related variables, unplanned extubation group revealed more intubated with respiratory failure(P=.000), more dependent on mechanical ventilation(P=.015) than planned extubation group. 6) Factors affecting unplanned extubations in intensive care unit patients were irritable or agitated behavior(odds ratio=13.757), night shift(odds ratio=7.166), and mechanical ventilation(odds ratio=6.257) from conditional logistic regression analysis. Conclusion : The most affecting factor of unplanned extubation was agitated or irritable behavior. Therefore the results of this study could be helpful to ICU nurses for meticulous care, decision making, timely intervention, and development of intervention strategies for preventing unplanned extubation.
Purpose: The aim of this study was to determine the risk factors contributed to unplanned readmission to intensive care unit (ICU) and to investigate the prediction model of unplanned readmission. Methods: We retrospectively reviewed the electronic medical records which included the data of 3,903 patients who had discharged from ICUs in a university hospital in Seoul from January 2011 to April 2012. Results: The unplanned readmission rate was 4.8% (n=186). The nine variables were significantly different between the unplanned readmission and no readmission groups: age, clinical department, length of stay at 1st ICU, operation, use of ventilator during 24 hours a day, APACHE II score at ICU admission and discharge, direct nursing care hours and Glasgow coma scale total score at 1st ICU discharge. The clinical department, length of stay at 1st ICU, operation and APACHE II score at ICU admission were the significant predictors of unplanned ICU readmission. The predictive model's area under the curve was .802 (p<.001). Conclusion: We identified the risk factors and the prediction model associated with unplanned ICU readmission. Better patient assessment tools and knowledge about risk factors could contribute to reduce unplanned ICU readmission rate and mortality.
Background : Because unplanned readmissions to intensive care unit(ICU)might be related with undesirable patient outcomes, we investigated the pattern of and reason for unplanned ICU readmission to provide baseline data for reducing unplanned returns to ICU. Methods : The subjects included all patients who readmitted to ICU during the same hospitalization at a tertiary referral hospital between January 1st and June 30th 2002. Quality improvement(QI) nurse collected the data through medical records and a medical director reviewed the data collected. Results : 1) The average unplanned ICU readmission rate was 5.6%(gastroenterology 14.6%, pediatrics 12.7%, pulmonology 11.9%, neurosurgery 6.3%, general surgery 5.3%, chest surgery 3.9%, and cardiology 3.3%). 2) Among the unplanned readmissions, more than 50% of cases were from patients older than 60 years, and the main categories of diagnose at hospital admission were neurologic disease(29.9%) and cardiovascular disease(27.6%). 3) Of unplanned ICU readmissions, 41.8% had recurrence of the initial problems, 44.8% had occurrence of new problems. And 9.7% required post-operative care after unplanned operations. 4) The most common cause responsible for unplanned ICU readmission were respiratory problem(38.3%) and cardiovascular problem(14.3%). 5) About 40% of unplanned ICU readmission occurred within 3 days after ICU discharge. 6) Average length of stay of the readmitted patients to ICUs were much longer than that of non-readmitted patients. 7) Hospital mortality rate was much higher for unplanned ICU readmitted patients(23.6%) than for non-readmitted patients(1.5%) (P<0.001). Conclusions : This study showed that the unplanned ICU readmitted patients had poor outcomes(high morality and increased length of stay). In addition study results suggest that more attention should be paid to patients in ICU with poor respiratory function or elderly patients, and careful clinical decisions are required at discharged from ICU to general ward.
In this paper, the contribution of task types and error types involved in the human-related unplanned reactor trip events that have occurred between 1986 and 2006 in Korean nuclear power plants are analysed in order to establish a strategy for reducing the human-related unplanned reactor trips. Classification systems for the task types, error modes, and cognitive functions are developed or adopted from the currently available taxonomies, and the relevant information is extracted from the event reports or judged on the basis of an event description. According to the analyses from this study, the contributions of the task types are as follows: corrective maintenance (25.7%), planned maintenance (22.8%), planned operation (19.8%), periodic preventive maintenance (14.9%), response to a transient (9.9%), and design/manufacturing/installation (6.9%). According to the analysis of the error modes, error modes such as control failure (22.2%), wrong object (18.5%), omission (14.8%), wrong action (11.1 %), and inadequate (8.3%) take up about 75% of the total unplanned trip events. The analysis of the cognitive functions involved in the events indicated that the planning function had the highest contribution (46.7%) to the human actions leading to unplanned reactor trips. This analysis concludes that in order to significantly reduce human-induced or human-related unplanned reactor trips, an aide system (in support of maintenance personnel) for evaluating possible (negative) impacts of planned actions or erroneous actions as well as an appropriate human error prediction technique, should be developed.
Journal of the Korean Society of Clothing and Textiles
/
v.33
no.10
/
pp.1601-1610
/
2009
Unplanned purchase is an unexpected buying behavior affected by product or marketing stimuli. Unplanned purchase does not follow the order of the rational decision making process. Through an in-depth interview, this study classified the types of unplanned purchase of clothing and examined the decision-making processes. The results (according to the need recognition level of consumers prior to stimuli) show three types of unplanned purchase of clothing products that are classified as: the need-manifesting type, the need-embodying type, and the need-reminding type. In addition, each type is reclassified into the high-cognition type and the low-cognition type according to the cognitive effort level of consumers during the purchase decision-making process. The need-manifesting type recognized a buying need after exposure to stimuli and then engaged in unplanned purchases. The need-embodying type recognized a problem, but the purchase intention was not concrete. The need-reminding type recognized a desire to buy clothing products, but temporarily forgot it, and then later remembered the problem recognition from the past after experiencing the stimuli.
Cho, Hyo Im;Lee, Young Whee;Kim, Hwa Soon;Sim, Bo-Yun
Korean Journal of Adult Nursing
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v.24
no.5
/
pp.509-519
/
2012
Purpose: This retrospective study was designed to examine the frequency of unplanned extubation, and to identify the related factors of unplanned extubation in medical intensive care unit patients. Methods: Data were collected from medical records of patients who received intubation in a medical intensive care unit. One hundred eighteen patient charts were selected for the study. The Patient Severity Classification Scale and unplanned extubation risk factors were examined. Data were analyzed with descriptive statistics, $x^2$-test, Fisher's exact test and Mann-Whitney U test. Results: The incidence of unplanned extubation was 11 (9.32%) out of 118 patients who had undergone intubation. There were statistically significant differences between the unplanned extubation and work shift ($x^2$=61.52, p=.001), ventilation mode (p=.001), number of days of ventilator application (U=366.00, p=.038) and administration of sedatives (p=.025). Conclusion: Unplanned extubation is affected by the following variables: a) whether a nurse is in night shift, b) whether ventilation is mandatory, c) duration of ventilation use and d) administration of sedatives.
This study was designed to identify the risk factors of unplanned readmission in a university hospital. The six-month discharge information from January to June, 2000 in a tertiary university hospital was used as a source of data through the medical record and hospital information system. To increase the effect of comparison. the data were collected by sampling 192 couples (384 patients) of unplanned readmission group through the matching by its disease groups, sex, and age. The accuracy of prediction for unplanned readmission was analyzed by constructing the predicted model of unplanned readmission through the logistic regression. The study results are as follows. The conditional logistic regression analysis was performed with nine variables at the significance level 0.05 through univariate analysis including residence, days after discharge, initial admission route, previous admission, transfer to special care unite, hospital stay days, medical care expenses, special cares, and laboratory and imaging services. As a result, the closer the patients live in Seoul and Gyeong-in area (Odds ratio=2.529, p=0.003), the shorter the days after discharge was (Odds ratio=0.600, p=0.000), and the more frequent admission rate was (Odds ratio=2.317, p=0.004), the more unplanned readmission was resulted. Also, the accuracy of prediction for data classification of this regression model showed $70.3\%$(032+83/306).
Purpose: The study was done to compare effects of two endotracheal tube (ET tube) fixation methods (rotated fixation versus conventional) on unplanned extubation and skin integrity for orally intubated patients in intensive care units. Methods: The research design was a non-equivalent control group with repeated measures design. Participants were 80 patients; 40 participants assigned to each group. ET tube for the experimental participants fixed with rotated method every morning. Unplanned extubation was assessed by bedside nurses using the unplanned extubation report form. Oral mucosa and facial skin integrity were assessed using oral assessment guide and facial skin integrity assessment guide at day 3, 7, 10 and 14. Results: There was no difference in the unplanned extubation rate between the two groups. Oral mucosa impairment scores for the rotated fixation method were significantly lower at day 7 (p=.044), 10 (p=.048) and day 14 (p=.037). Also facial skin integrity impairment scores for the same group were significantly lower at day 7 (p=.010), 10 (p=.003), and 14 (p=.002). Conclusion: Results of the study suggest that the rotated fixation method is effective for these patients, to prevent impairment of oral mucosa and facial skin integrity. Further research is needed to prevent unplanned extubation.
This study describes associated factors of readmission of 213 inpatients from an university hospital in Seoul. This retrospective study reviewed medical records of patients who discharged from a hospital stay for general diseases between 1 August 1995 and 31 October 1995, Cases were 68 discharge patients with an unplanned readmission within 30 days of discharge from an index stay. And the other cases are 145 patients who had more than two discharges and didn't have an unplanned readmission within 30 days. Logistic regression model was analyzed and the results were as follows; 1. duration of readmission, rate of unpayed, room, path, and risk of disease were more likely to be readmitted unexpectedly than the expected readmission patients. 2. early readmission, low risk condition group, and inadquateness of discharge plann for patients had unplanned radmissions rather than planned readmissions. Therefore, discharge planning education to health care provider is required and assessement of discharge planning should be evaluated. Readmissions are usually for related problems that arose during the original hopitaliztion and caused cost problems. Especially the unplanned readmissions are frequently preventable. Ultimately, models for readmissions can serve as a valuable clinical tool for target high-risk patients and older patients and with this kind of tools we can reduce hospital readmissions and maintain high-quality of inpatient care.
Kim, Eun-Gyung;Cho, Sung-Hyun;Kim, Chang-Yup;Oh, Byung-Hee
Quality Improvement in Health Care
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v.2
no.1
/
pp.118-124
/
1995
Background: Clinical indicators are objective measures of process or outcome of patient care in quantitative terms. This study aims to review the medical records of patients who 'return to operating room during the same admission', which is one of the critical clinical outcomes, and describe the result by unplanned reoperation rate. Methods: Computerized patient registry was used for selecting subject conditions. For medical records retrieved, two nurse evaluators identified the presence of explicit reoperation planning in medical records. Results: Overall reoperation rate was 2.8% and unplanned reoperation rate 1.3%. The main category of reoperation cause was the postoperative bleeding. Duration of stay from previous operation to reoperation of the unplanned group, 12.7 days, was shorter than that of the planned(p< .05). The differences did not reach statistical significance in age, sex and length of stay. Conclusion: Results suggested that unplanned reoperation rate was lower than 'threshold' level other institutions had established. However, this result could become comparable only after management of medical records would be improved and risk adjusted.
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