Modelling the effect of a dedicated hip fracture unit on patient outcomes using segmented robust linear regression techniques

Injury ◽  
2020 ◽  
Author(s):  
Epaminondas Markos Valsamis ◽  
Henry Husband ◽  
Daniel Burchette ◽  
Milan Milošević ◽  
Bore Bakota
Keyword(s):  
Hip Fracture ◽  
Linear Regression ◽  
Patient Outcomes ◽  
Regression Techniques ◽  
Robust Linear Regression

scholarly journals Trajectory analysis for postoperative pain using electronic health records: A nonparametric method with robust linear regression and K-medians cluster analysis

2019 ◽  
Vol 26 (2) ◽  
pp. 1404-1418
Author(s):  
Yingjie Weng ◽  
Lu Tian ◽  
Dario Tedesco ◽  
Karishma Desai ◽  
Steven M Asch ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Postoperative Pain ◽  
Linear Regression ◽  
Regression Model ◽  
Pain Score ◽  
Patient Outcomes ◽  
Health Records ◽  
Pain Scores ◽  
Electronic Health ◽  
Robust Linear Regression

Postoperative pain scores are widely monitored and collected in the electronic health record, yet current methods fail to fully leverage the data with fast implementation. A robust linear regression was fitted to describe the association between the log-scaled pain score and time from discharge after total knee replacement. The estimated trajectories were used for a subsequent K-medians cluster analysis to categorize the longitudinal pain score patterns into distinct clusters. For each cluster, a mixture regression model estimated the association between pain score and time to discharge adjusting for confounding. The fitted regression model generated the pain trajectory pattern for given cluster. Finally, regression analyses examined the association between pain trajectories and patient outcomes. A total of 3442 surgeries were identified with a median of 22 pain scores at an academic hospital during 2009–2016. Four pain trajectory patterns were identified and one was associated with higher rates of outcomes. In conclusion, we described a novel approach with fast implementation to model patients’ pain experience using electronic health records. In the era of big data science, clinical research should be learning from all available data regarding a patient’s episode of care instead of focusing on the “average” patient outcomes.

Correlation Between Gestures’ Qualitative Properties and Usa- bility metrics

2020 ◽  
Vol 64 (1) ◽  
pp. 726-730
Author(s):  
Daniela Chanci ◽  
Naveen Madapana ◽  
Glebys Gonzalez ◽  
Juan Wachs
Keyword(s):  
Linear Regression ◽  
User Satisfaction ◽  
Completion Time ◽  
User Study ◽  
Task Completion ◽  
Time Error ◽  
Qualitative Properties ◽  
Regression Techniques ◽  
Overall Efficiency ◽  
Usability Metrics

The choice of best gestures and commands for touchless interfaces is a critical step that determines the user- satisfaction and overall efficiency of surgeon computer interaction. In this regard, usability metrics such as task completion time, error rate, and memorability have a long-standing as potential entities in determining the best gesture vocabulary. In addition, some previous works concerned with this problem have utilized qualitative measures to identify the best gesture. In this work, we hypothesize that there is a correlation between the qualitative properties of gestures (v) and their usability metrics (u). Therefore, we conducted an experiment with linguists to quantify the properties of the gestures. Next, a user study was conducted with surgeons, and the usability metrics were measured. Lastly, linear and non-linear regression techniques were used to find the correlations between u and v. Results show that usability metrics are correlated with the gestures’ qualitative properties ( R2 = 0.4).

scholarly journals Motor unit innervation zone localization based on robust linear regression analysis

2019 ◽  
Vol 106 ◽  
pp. 65-70 ◽  
Author(s):  
Jie Liu ◽  
Sheng Li ◽  
Faezeh Jahanmiri-Nezhad ◽  
William Zev Rymer ◽  
Ping Zhou
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Motor Unit ◽  
Linear Regression Analysis ◽  
Innervation Zone ◽  
Robust Linear Regression

scholarly journals REducing unwarranted variation in the Delivery of high qUality hip fraCture services in England and Wales (REDUCE): protocol for a mixed-methods study

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e049763
Author(s):  
Rita Patel ◽  
Sarah Drew ◽  
Antony Johansen ◽  
Tim Chesser ◽  
Muhammad K Javaid ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Hip Fracture ◽  
Patient Outcomes ◽  
Ethics Committee ◽  
High Quality ◽  
England And Wales ◽  
Fracture Care ◽  
Unwarranted Variation ◽  
Organisational Factors ◽  
Organisational Level

IntroductionSubstantial variation in the delivery of hip fracture care, and patient outcomes persists between hospitals, despite established UK national standards and guidelines. Patients’ outcomes are partly explained by patient-level risk factors, but it is hypothesised that organisational-level factors account for the persistence of unwarranted variation in outcomes. The mixed-methods REducing unwarranted variation in the Delivery of high qUality hip fraCture services in England and Wales (REDUCE) study, aims to determine key organisational factors to target to improve patient care.Methods and analysisQuantitative analysis will assess the outcomes of patients treated at 172 hospitals in England and Wales (2016–2019) using National Hip Fracture Database data combined with English Hospital Episodes Statistics; Patient Episode Database for Wales; Civil Registration (deaths) and multiple organisational-level audits to characterise each service provider. Statistical analyses will identify which organisational factors explain variation in patient outcomes, and typify care pathways with high-quality consistent patient outcomes. Documentary analysis of 20 anonymised British Orthopaedic Association hospital-initiated peer-review reports, and qualitative interviews with staff from four diverse UK hospitals providing hip fracture care, will identify barriers and facilitators to care delivery. The COVID-19 pandemic has posed a major challenge to the resilience of services and interviews will explore strategies used to adapt and innovate. This system-wide understanding will inform the development, in partnership with key national stakeholders, of an ‘Implementation Toolkit’ to inform and improve commissioning and delivery of hip fracture services.Ethics and disseminationThis study was approved: quantitative study by London, City and East Research Ethics Committee (20/LO/0101); and qualitative study by Faculty of Health Sciences University of Bristol Research Ethics Committee (Ref: 108284), National Health Service (NHS) Health Research Authority (20/HRA/71) and each NHS Trust provided Research and Development approval. Findings will be disseminated through scientific conferences, peer-reviewed journals and online workshops.

scholarly journals State of origin: Australian states use widely different resources for hospital management of hip fracture, but achieve similar outcomes

2016 ◽  
Vol 40 (2) ◽  
pp. 141 ◽  
Author(s):  
Anthony W. Ireland ◽  
Patrick J. Kelly ◽  
Robert G. Cumming
Keyword(s):  
Hip Fracture ◽  
Patient Outcomes ◽  
Hospital Management ◽  
Residential Aged Care ◽  
Negative Consequences ◽  
Process Data ◽  
Medium Term ◽  
Increased Risk ◽  
Hospital Resources ◽  
Hospital Utilisation

Objective Hospital management of hip fracture varies widely with regard to length of stay, delivery of post-surgical care and costs. The present study compares the association between hospital utilisation and costs and patient outcomes in the six Australian states. Methods The present study was a retrospective cohort study of linked administrative databases for 2530 Australian veterans and war widows aged ≥65 years, hospitalised for hip fracture in 2008–09. Department of Veterans’ Affairs datasets for hospital episodes, residential aged care admissions and date of death were linked. Patient characteristics, hospital utilisation and process data, rates of mortality and residential care placement and delivery of community services were compared for patients from each of the states. Results There were no significant differences in fracture incidence, patient demographics or fracture type among the states. Adjusted total mean length of hospital stay ranged from 24.7 days (95% confidence interval (CI) 22.3–27.5 days) to 35.0 days (95% CI 32.6–37.6 days; P < 0.001) and adjusted total hospital cost ranged between A$24 792 (95% CI A$22 191–A$27 700) and A$35 494 (95% CI A$32 853–A$38 343; P < 0.001). Rates of referral to rehabilitation ranged from 31.7% to 50.4% (P = 0.003). At 1 year, there were no significant differences between states for key outcome determinants of mortality (P = 0.71) or for the proportion of patients who retained their independent living status (P = 0.66). Conclusion Hospital resources for management of hip fracture differ substantially among the Australian states. Key medium-term patient outcomes do not show significant differences. A potential for substantial cost-efficiencies without increased risk to patient welfare is suggested. What is known about this topic? Hospital resources deployed in the initial management of hip fracture differ widely between countries, regions and individual hospitals. Patient outcomes also vary widely, but are inconsistently associated with resource outlays. What does this paper add? The paper describes the different resource outlays for management of hip fracture in six Australian jurisdictions and the absence of equivalent differences in medium-term patient outcomes. What are the implications for practitioners? Efficiencies in hospital management of hip fracture may be achievable without negative consequences for patients. The elements of models of care should be examined for their contribution to early and later patient outcomes.

Efficient variability analysis of arithmetic units using linear regression techniques

2016 ◽  
Vol 87 (2) ◽  
pp. 249-261
Author(s):  
Dimitrios Stamoulis ◽  
Kostas Tsoumanis ◽  
Dimitrios Rodopoulos ◽  
Brett H. Meyer ◽  
Kiamal Pekmestzi ◽  
...  
Keyword(s):  
Linear Regression ◽  
Variability Analysis ◽  
Regression Techniques ◽  
Arithmetic Units

scholarly journals PENGARUH LITERASI EKONOMI SISWA, HASIL BELAJAR EKONOMI, DAN TEMAN SEBAYA TERHADAP PERILAKU KONSUMSI SISWA SMP NEGERI DI SURABAYA BARAT

2017 ◽  
Vol 5 (1) ◽  
pp. 127
Author(s):  
Endah Murniatiningsih
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Total Sample ◽  
Economic Literacy ◽  
Economic Study ◽  
Consumption Behavior ◽  
Research Population ◽  
Class Viii ◽  
Regression Techniques

This study aimed to analyze the effect of the Students Economic Literacy, the results of the economic study, and peers on consumption behavior of students of SMP Negeri Surabaya Western Conference. The research population was students of SMP Negeri 28 Surabaya class VIII as many as 369 people and students of SMP Negeri 40 Surabaya class VIII as many as 330 students, with a total sample of 254 students. The data collection techniques using questionnaires and documentation. Methods of analysis using multiple linear regression techniques. The results showed that the students economic literacy, the results of the economic study, and peer partially has a positive and significant effect on consumption behavior. The students economic literacy of students, the results of the economic study, and peer simultaneously positive significant effect on consumption behavior of students

Sign in / Sign up

Export Citation Format

Share Document