scholarly journals Facial Injury Severity Scale Score as a Predictor of Length of Stay for Maxillofacial Fracture at Sanglah General Hospital, Denpasar, Bali, Indonesia

2020 ◽  
Vol 8 (B) ◽  
pp. 291-294
Author(s):  
Esther Felicita Tambayong ◽  
Nengah Kuning Atmadjaya ◽  
Nyoman Golden ◽  
Ketut Wiargitha ◽  
Gede Bagus Mahadewa Tjokorda
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Length Of Stay ◽  
General Hospital ◽  
Injury Severity ◽  
Linear Regression Analysis ◽  
Facial Injury ◽  
Severity Scale ◽  
Operating Characteristics ◽  
Maxillofacial Fracture

INTRODUCTION: Maxillofacial fracture is the most common trauma that happened in the developing countries. One of the methods to evaluate the severity of maxillofacial fracture is by using the Facial Injury Severity Scale (FISS) score. Maxillofacial trauma causes multiple injuries, thus resulted in various periods of hospitalization. AIM: The aim of this study is to use the employment of the FISS score to predict a patient’s length of stay. METHODS: This research was a retrospective cohort and cross-sectional study on maxillofacial fracture patients whom treated in Sanglah General Hospital, Denpasar, Bali. As much as 89 subjects were included in this study and information about their age, gender, mechanism of injury, FISS score, treatments, and length of stay was collected. The data were statistically analyzed using bivariate, receiver operating characteristics (ROC), and linear regression analysis. RESULTS: A total of 89 subjects were included in this study. Among them, 50 subjects had a high FISS score, and 39 subjects had low FISS score. The average age was 28.9 ± 13.3 years with a mean length of stay 6.39 ± 4.29 days. Bivariate analysis showed that the patients with high FISS score have 5.3 times higher risk to get a longer length of stay compared to those with low FISS score (95% CI: 2.289–12.289; p = 0.001). The mean of length of stay in subjects with a high FISS score was significantly higher compared to subjects with a low FISS score (mean for subjects with high score: 8.46 ± 4.63; mean for subjects with low score: 3.74 ± 1.46; p = 0.001) with a correlation value r = 0.718 (p = 0.001). ROC analysis represented that FISS score ˂4 was categorized as mild. The linear regression analysis showed that the length of stay for maxillofacial fracture patients was able to be predicted by LOS = 1.476 + 1.032 × FISS score. CONCLUSION: The FISS score can predict the length of stay for patients with maxillofacial fracture.

scholarly journals CORRELATION OF FACIAL INJURY SEVERITY SCALE (FISS) WITH LENGTH OF STAY, THE NEED FOR SURGERY AND THE INVOLVEMENT OF OTHER SPECIALISTS IN MAXILLOFACIAL TRAUMA PATIENTS AT H. ADAM MALIK GENERAL HOSPITAL MEDAN

2019 ◽  
pp. 1-3
Author(s):  
Darwin Firmansyah Siregar ◽  
Frank Bietra Buchari ◽  
Utama Abdi Tarigan ◽  
Aznan Lelo
Keyword(s):  
Length Of Stay ◽  
General Hospital ◽  
Injury Severity ◽  
The Body ◽  
Maxillofacial Trauma ◽  
Mandibular Fractures ◽  
Trauma Patients ◽  
Facial Injury ◽  
Single Operator ◽  
Surgery Department

Background: Facial Injury Severity Severity Score (FISS) has been used to assess the severity of facial injuries. However, FISS scores as a useful predictor of length of stay and changes between FISS scores and injuries to other parts of the body have not evaluated. In this study, we want to know the relationship between FISS score as the clinical assessment of maxillofacial trauma with the length of stay, the need for surgery, and the involvement of other specialist elds. Method: This research was conducted using analytical research through a retrospective approach by looking at the medical records of patients who suffered maxillofacial trauma at H. Adam Malik General Hospital Medan from June to August 2019. Result : From a total of 43 patients included in the study, there were 22 mandibular fractures, with mandibular angulus (29.0%), parasymphysis (22.4%), and mandibular corpus (21.5%). Thirty subjects (69.8%) needed surgery, and xation of the fracture and subjects without intervention were 13 (30.2%). Patients who needed surgical intervention, the average time needed for hospitalization was 10.98 + 7.72 days (p = 0.007). The most collaboration found with neurosurgeons specialists, 39.53% of subjects who performed the surgery. A total of 55.8% of surgeries performed by a single operator from the plastic surgery department. Relationship between the length of stay with FISS, obtained for FISS> 3 (OR 14.37) (p = 0.01), meaning that patients with FISS> 3 are likely to stay longer for 14 times. Subsequent results related to the need for surgery obtained signicant results (OR = 8.26, p = 0.026). signicant (p = 0.059). Conclusion: A FISS score signicantly affects the length of stay for a maxillofacial trauma patient. FISS score also affects the involvement of other specialists in maxillofacial trauma patients but not statistically signicant.

scholarly journals Do elective surgical and medical admissions impact emergency department length of stay measurements?

2007 ◽  
Vol 30 (5) ◽  
pp. 177 ◽  
Author(s):  
Trevor S Langhan
Keyword(s):  
Emergency Department ◽  
Regression Analysis ◽  
Linear Regression ◽  
Length Of Stay ◽  
Acute Care ◽  
Emergency Departments ◽  
Linear Regression Analysis ◽  
Wait Times ◽  
Health Region ◽  
The Relationship

Background: Emergency department access block is a growing problem in emergency departments across Canada. Access block is defined as hospital occupancy >85% causing emergency department overcrowding. Hospital overcrowding leads to prolonged emergency department wait times, and delays in the transfer of admitted patients from the emergency department to inpatient beds. The relationship between elective admissions to hospital and emergency department wait times has not been adequately assessed. We undertook a simple linear regression analysis of the impact of elective admissions to hospital on emergency department length of stay. Methods: Linear regression analysis of the number of daily elective admissions to adult acute care beds in the Calgary Health Region in the year 2004 and the daily median emergency department length of stay was done to establish the relationship between elective admissions and Emergency Department length of stay. Results: 37,007 patients were admitted to adult acute care beds via the emergency department and 46,020 patients were admitted to adult acute care beds by all other routes. Regression analysis determined that there was no relationship between daily emergency department length of stay and the number of elective admissions per day. Conclusion: For the year 2004, in the Calgary Health Region, elective acute care admissions to hospital had no relationship to emergency department length of stay for patients admitted via the emergency department. Further study is required to determine causative factors that prolong Emergency Department length of stay. Emergency departments across Canada continue to struggle with the demands of providing high quality care with diminishing resources.

scholarly journals Poor Sleep Quality’s Association With Soccer Injuries: Preliminary Data

2020 ◽  
Vol 15 (5) ◽  
pp. 671-676
Author(s):  
Andressa Silva ◽  
Fernanda V. Narciso ◽  
Igor Soalheiro ◽  
Fernanda Viegas ◽  
Luísa S.N. Freitas ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Sleep Quality ◽  
Injury Severity ◽  
Linear Regression Analysis ◽  
Sleep Efficiency ◽  
Total Variance ◽  
Soccer Players ◽  
Poor Sleep ◽  
Injury Characteristics

Purpose: To investigate the relationship between sleep quality and quantity and injuries in elite soccer players and to compare sleep–wake variables and injury characteristics. Methods: The current investigation was a prospective cohort study of 23 elite male soccer players competing for 2 teams over 6 mo in the highest-level Brazilian competition. The players’ sleep behavior was monitored for 10 d in the preseason using self-reporting sleep diaries and wrist activity monitors to determine sleep duration and quality. Furthermore, injuries were recorded by the respective club’s medical teams into a specific database. Details of injuries recorded included the type, location, and severity of each injury. The results were expressed as descriptive statistics, and the significance level was set at 5%. The Mann–Whitney U test was performed to compare the sleep variables between groups. Spearman correlation coefficient and linear-regression analysis were used. Results: The results indicated a moderate negative correlation between sleep efficiency and particular injury characteristics, including absence time, injury severity, and amount of injuries. The linear-regression analysis indicated that 44% of the total variance in the number of injuries can be explained by sleep efficiency, 24% of the total variance in the absence time after injury (days) can be explained by sleep efficiency, and 47% of the total variance in the injury severity can be explained by sleep efficiency. Conclusions: Soccer players who exhibit lower sleep quality or nonrestorative sleep show associations with increased number and severity of musculoskeletal injuries.

scholarly journals Patient Characteristics and Medical Provider Factors Are Associated With Length of Stay in Total Hip Arthroplasty Patients: a Retrospective Chinese Cohort Study

2020 ◽  
Author(s):  
Hui Zeng ◽  
Guoqing Li ◽  
Fei Yu ◽  
Jian Weng ◽  
Ao Xiong ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Total Hip Arthroplasty ◽  
Linear Regression ◽  
Length Of Stay ◽  
Hip Arthroplasty ◽  
Linear Regression Analysis ◽  
Patient Characteristics ◽  
Medical Provider ◽  
Multivariable Linear Regression Analysis ◽  
The Relationship

Abstract Background Total hip arthroplasty (THA) is a successful treatment in the improvement of quality of life. Diagnosis-related groups (DRGs) payment has a significant impact on the hospital market in China and length of stay (LOS) is one of its crucial manifestations. Patient characteristics and medical provider factors can affect LOS but the relationship is uncertain. We intent to explore the relationship between patient characteristics and medical provider factors and LOS of primary THA patients. Methods We reviewed the database containing 461 patients who underwent primary THA between January 2014 to January 2019 and regressed the LOS against a variety of perioperative factors. A multivariable linear regression model was performed to assess the difference. Results For parts of patient characteristics, multivariable linear regression analysis revealed that comorbidities, pre-operation albumin < 30 g/L, and pre-operation CRP ≥ 5 mg/L were all significantly associated with LOS (p < 0.05). For parts of medical provider factors, multivariable linear regression analysis revealed that date of surgery, urinary catheter, and incision drainage were all significantly associated with LOS (p < 0.05). Conclusions Patient characteristics and medical provider factors are associated with LOS of THA patients. Evaluation and identification of risk factors are beneficial in patients' education, perioperative discussion and surgery decisions in the different primary THA patient populations.

scholarly journals Effect of Opioid Limiting Legislation on Postoperative Opioid Utilization in Patients Treated for Ankle Fractures

2020 ◽  
Vol 5 (4) ◽  
pp. 247301142093950
Author(s):  
Connor G. Hoge ◽  
Robert N. Matar ◽  
Colin D. F. Cotton ◽  
Michael G. Rubeiz ◽  
Tonya L. Dixon ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Postoperative Period ◽  
Injury Severity ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Ankle Fractures ◽  
Level Of Evidence ◽  
The Mean

Background: The state of Ohio implemented legislation in August of 2017 limiting the quantity of opioids a provider could prescribe. The purpose of this study was to identify if implementation of legislation affected opioid and nonopioid utilization in patients operatively treated for ankle fractures in the initial 90-day postoperative period after controlling for injury severity and preoperative narcotic usage. Methods: A retrospective review of 144 patients treated for isolated ankle fractures in a pre-law group (January 2017–July 2017; n = 73) and post-law group (January 2018–July 2018; n = 71) was completed using electronic medical records and a legal prescriber database. Total number of opioid prescriptions, pills, milligrams of morphine equivalents (MMEs), and nonopioid prescriptions were recorded. Multiple regression analysis was run to identify predictors of opioid prescribing after controlling for law group, demographic, preoperative narcotic use, and injury severity characteristics. Results: Mean MME prescribed per patient significantly decreased from 817.2 MME pre-law to 380.9 post-law ( P < .01). Mean number of opioid pills prescribed per patient decreased from 99.1 in the pre-law group and 55.3 in the post law group ( P < .001), respectively. Multiple linear regression analysis to predict the mean number of opioid pills prescribed was statistically significant ( R 2 = 0.33; P < .001), with law group adding significantly to the prediction ( P < .001). The multiple linear regression analysis to predict MME per patient was found to be statistically significant ( R 2 = 0.31; P < .001), with the law group contributing significantly ( P < .001). Conclusion: The Ohio prescriber law successfully contributed to the decreased number of opioid pills and MME prescribed in the initial 90-day postoperative period after controlling for injury severity and preoperative narcotic usage. Policies on opioid prescriptions may serve as an important public health tool in the fight against the opioid epidemic. Level of Evidence: Level III, retrospective comparative series.

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

Struktur Organisasi, Desain Kerja, Budaya Organisasi Dan Pengaruhnya Terhadap Produktivitas Karyawan Studi Kasus Pada PT. XX Di Jakarta

Liquidity ◽  
2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Yanti Budiasih
Keyword(s):  
Organizational Culture ◽  
Regression Analysis ◽  
Linear Regression ◽  
Organizational Structure ◽  
Research Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Job Design ◽  
Employee Productivity ◽  
Dominant Influence

The objectives of this study are to analyze changes in organizational structure, job design, organizational culture and its influence on employee productivity at PT. XX in Jakarta and to identify variables that have a dominant influence on the productivity of employees. The research method used is using multiple linear regression analysis. The results show that the all variables simultaneously and partially change the organizational structure, job design, and organizational culture has a significant impact on employee productivity at PT. XXin Jakarta.

The Contribution of Sexual Identity Towards the Students’ Perception of Lesbian, Gay, Bisexual, and Transgender

10.32698/0642 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 120
Author(s):  
Wiwi Delfita ◽  
Neviyarni S. ◽  
Riska Ahmad
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Sexual Identity ◽  
Student Perceptions ◽  
Undergraduate Students ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Simple Linear Regression ◽  
Simple Linear Regression Analysis ◽  
Bisexual And Transgender

Some students perceive lesbian, gay, bisexual, and transgender (LGBT) positively, even though LGBT is a sexual deviation that is not appropriate with values and norms. There are several factors that influence an individual's perception of LGBT, including sexual identity. This study aims at looking at the contribution of sexual identity to student perceptions about LGBT. This research used a quantitative approach with a descriptive method and a simple linear regression analysis. The sample of this research was 385 taken from 15.752 undergraduate students of Universitas Negeri Padang which the sample was drawn by using the Slovin formula and continued with a Proportional Random Sampling technique. The instrument used was the Guttman model's sexual identity scale and the scale of students' perceptions of the LGBT Likert model. After analyzing the data with the descriptive technique and the simple linear regression analysis, the results showed that sexual identity significantly contributed to the students' perceptions of LGBT. This research has implications as a basis for counselors to help students avoid sexual identity mismatches and prevent the emergence of positive perceptions of LGBT.

Sign in / Sign up

Export Citation Format

Share Document