Predict the Medicare Functional Classification Level (K-level) using the Amputee Mobility Predictor in people with unilateral transfemoral and transtibial amputation: A pilot study

2017 ◽  
Vol 42 (2) ◽  
pp. 191-197 ◽  
Author(s):  
Michael P Dillon ◽  
Matthew J Major ◽  
Brian Kaluf ◽  
Yuri Balasanov ◽  
Stefania Fatone
Keyword(s):  
Logistic Regression ◽  
Pilot Study ◽  
Patient Characteristics ◽  
Ordinal Logistic Regression ◽  
Predictor Variables ◽  
Functional Classification ◽  
Transfemoral Amputation ◽  
Potential Predictor ◽  
Younger Age ◽  
Representative Samples

Background: While Amputee Mobility Predictor scores differ between Medicare Functional Classification Levels (K-level), this does not demonstrate that the Amputee Mobility Predictor can accurately predict K-level. Objectives: To determine how accurately K-level could be predicted using the Amputee Mobility Predictor in combination with patient characteristics for persons with transtibial and transfemoral amputation. Study design: Prediction. Method: A cumulative odds ordinal logistic regression was built to determine the effect that the Amputee Mobility Predictor, in combination with patient characteristics, had on the odds of being assigned to a particular K-level in 198 people with transtibial or transfemoral amputation. Results: For people assigned to the K2 or K3 level by their clinician, the Amputee Mobility Predictor predicted the clinician-assigned K-level more than 80% of the time. For people assigned to the K1 or K4 level by their clinician, the prediction of clinician-assigned K-level was less accurate. The odds of being in a higher K-level improved with younger age and transfemoral amputation. Conclusion: Ordinal logistic regression can be used to predict the odds of being assigned to a particular K-level using the Amputee Mobility Predictor and patient characteristics. This pilot study highlighted critical method design issues, such as potential predictor variables and sample size requirements for future prospective research. Clinical relevance This pilot study demonstrated that the odds of being assigned a particular K-level could be predicted using the Amputee Mobility Predictor score and patient characteristics. While the model seemed sufficiently accurate to predict clinician assignment to the K2 or K3 level, further work is needed in larger and more representative samples, particularly for people with low (K1) and high (K4) levels of mobility, to be confident in the model’s predictive value prior to use in clinical practice.

scholarly journals PEMODELAN INDEKS PEMBANGUNAN MANUSIA PROVINSI JAWA BARAT, JAWA TIMUR DAN JAWA TENGAH TAHUN 2019 DENGAN MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL

2021 ◽  
Vol 10 (1) ◽  
pp. 149-158
Author(s):  
Meylita Sari ◽  
Purhadi Purhadi
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Logistic Regression ◽  
Unemployment Rate ◽  
Classification Accuracy ◽  
Poverty Rate ◽  
Ordinal Logistic Regression ◽  
Predictor Variables ◽  
Clean Water ◽  
Economic Growth Rate

Ordinal logistic regression is one of the statistical methods to analyze response variables (dependents) that have an ordinal scale consisting of three or more categories. Predictor variables (independent) that can be included in the model are category or continuous data consisting of two or more  variables. Human Development Index (HDI) is an indicator of the success of human development in a region and can be categorized into medium, high and very high. Based on the further categorization, in this study would like to know more about the HDI model using the Ordinal Logistic Regression method, with predictor variables that are suspected to affect, so that it is obtained in West Java Province is influenced by variable poverty rates and clean water sources with a classification accuracy value of 77.78%, Central Java Province is influenced by variable economic growth rate based on constant price GDP, poverty rate and open unemployment rate with a classification accuracy value of 82.85%. East Java province is influenced by variable poverty rate and open unemployment rate with a classification accuracy value of 76.31%. As well as in the three provinces in Java Island is influenced by variable economic growth rate, variable poverty rate, variable clean water source with a classification accuracy value of 73%. Keywords : Ordinal Logistic Regression, HDI, Classification Accuracy

Modelling Information Search Behaviour of Car Purchasers

1989 ◽  
Vol 19 (3) ◽  
pp. 138-143 ◽  
Author(s):  
Phillip J. Du Plessis ◽  
Michael J. Greenacre
Keyword(s):  
Logistic Regression ◽  
Information Search ◽  
Ordinal Logistic Regression ◽  
Predictor Variables ◽  
Sources Of Information ◽  
Search Behaviour ◽  
Information Usage ◽  
Used Car ◽  
External Sources ◽  
First Time

The objective in the study was to establish whether there was any relationship between certain information usage categories and four selected predictor variables namely (1) new or used car purchase, (2) other-than-white or white buyer, (3) male or female, and (4) first-time buyer or experienced buyer. Certain external sources of information (non-market dominated and market dominated) which are available to the buyer of a car and the development of a model of the probability of buyers using the source are investigated. The technique of ordinal logistic regression is assumed to be the appropriate modelling tool in this study where the response variables of interest are ordinal.

scholarly journals Clients’ perceptions of the quality of post-abortion care in eight health facilities in Dakar, Senegal

2021 ◽  
pp. 1-16
Author(s):  
Colin Baynes ◽  
Mohamed Diadhiou ◽  
Grace Lusiola ◽  
Kate O’Connell ◽  
Thierno Dieng
Keyword(s):  
Logistic Regression ◽  
Quality Of Care ◽  
Unmet Need ◽  
Patient Characteristics ◽  
Ordinal Logistic Regression ◽  
Health Facilities ◽  
Abortion Care ◽  
Post Abortion Care ◽  
Post Abortion

Abstract Post-abortion care (PAC) integrates elements that are vital for women’s survival after abortion complications and their ability to meet their subsequent fertility intentions. Currently, the utilization of PAC among women in need remains too low, particularly in settings where unsafe abortion is an appreciable cause of maternal mortality. Interventions have aimed at addressing unmet need; however, these still require information on the extent to which women value different aspects of PAC. This paper presents such evidence from Dakar, Senegal. Exit interviews with 729 PAC clients in 2018 at eight health facilities obtained information on patient characteristics, content of services received and women’s perceptions of the quality of care, both overall and according to subject-specific domains. These domains reflect aspects of PAC that are relevant to clients’ satisfaction: accessibility, facility environment, information and counselling, family planning, provider technical competence and readiness and client–staff interaction. Ordinal logistic regression models were estimated to identify factors that were associated with women’s rating of overall quality of care (on a scale of 1 to 5, 1 being lowest). Predictors that were significantly associated with the outcome were used in a multivariate ordinal logistic regression model that estimated the probability of positive differences in the outcome associated with women’s classification of each predictor. Women reported a mean rating of 3.7 for overall quality of care. The lowest domain-specific rating was for quality of information and counselling (mean=2.4) and the highest was for client–staff interaction (mean=3.8). Factors associated with clients’ higher odds of being more satisfied with PAC were: physical comfort during the procedure, recall of counselling on treatment procedure, privacy, perceived availability of supplies and medicines, facility admission process, facility cleanliness, waiting time, clarity of counselling and access to different contraceptive methods. Interventions that target these factors may improve the utilization of PAC in Dakar, Senegal.

Psychological Adjustment in Spain during the COVID-19 Pandemic: Positive and Negative Mental Health Outcomes in the General Population

2021 ◽  
Vol 24 ◽  
Author(s):  
Carmen Valiente ◽  
Alba Contreras ◽  
Vanesa Peinado ◽  
Almudena Trucharte ◽  
Antón P. Martínez ◽  
...  
Keyword(s):  
Mental Health ◽  
Substance Use ◽  
Logistic Regression ◽  
Mortality Rate ◽  
General Population ◽  
Psychological Adjustment ◽  
Well Being ◽  
Predictor Variables ◽  
Potential Predictor ◽  
Anxiety Depression

Abstract In the midst of the COVID–19 epidemic, Spain was one of the countries with the highest number of infections and a high mortality rate. The threat of the virus and consequences of the pandemic have a discernible impact on the mental health of citizens. This study aims to (a) evaluate the levels of anxiety, depression and well-being in a large Spanish sample during the confinement, (b) identify potential predictor variables associated to experiencing both clinical levels of distress and well-being in a sample of 2,122 Spanish people. By using descriptive analyses and logistic regression results revealed high rates of depression, anxiety and well-being. Specifically, our findings revealed that high levels of anxiety about COVID–19, increased substance use and loneliness as the strongest predictors of distress, while gross annual incomes and loneliness were strongest predictors of well-being. Finding of the present study provide a better insight about psychological adjustment to a pandemic and allows us to identify which population groups are at risk of experiencing higher levels of distress and which factors contribute to greater well-being, which could help in the treatments and prevention in similar stressful and traumatic situations.

scholarly journals PENERAPAN REGRESI LOGISTIK ORDINAL UNTUK MENGANALISIS TINGKAT KEPARAHAN KORBAN KECELAKAAN LALU LINTAS KABUPATEN BULELENG

2015 ◽  
Vol 4 (2) ◽  
pp. 54
Author(s):  
DEWA AYU MADE DWI YANTI PURNAMI ◽  
I KOMANG GDE SUKARSA ◽  
G. K. GANDHIADI
Keyword(s):  
Logistic Regression ◽  
Statistical Method ◽  
Traffic Accident ◽  
Ordinal Logistic Regression ◽  
Ordinal Scale ◽  
Predictor Variables ◽  
The Status ◽  
Minor Injuries ◽  
Serious Injuries

Ordinal logistic regression is a statistical method for analyzing the respone variables that have an ordinal scale consisting of three or more categories. This method is an extension of logistic regression with a binary respone variable. In this study the cases studies was the severity of traffic accident victims in Buleleng. The severity of the victims were divided into three categories: minor injuries, serious injuries and died. This research also used six predictor variables, namely age, hours of accident, education, gender, the status of location, and the venicles involved. Result of study shows that the variables age, hours of accident, education and the status of location have a significan effect on the severity of traffic accident victims.

The influence of continuous local wound infusion on postoperative pain in patients undergoing transfemoral amputation

VASA ◽  
2015 ◽  
Vol 44 (5) ◽  
pp. 381-386 ◽  
Author(s):  
Christian Uhl ◽  
Thomas Betz ◽  
Andrea Rupp ◽  
Markus Steinbauer ◽  
Ingolf Töpel
Keyword(s):  
Pain Management ◽  
Pilot Study ◽  
Local Anaesthetic ◽  
Phantom Pain ◽  
Transfemoral Amputation ◽  
Postoperative Wound ◽  
Stump Pain ◽  
Management Protocol ◽  
Group 2 ◽  
Group 1

Abstract. Summary: Background: This pilot study was set up to examine the effects of a continuous postoperative wound infusion system with a local anaesthetic on perioperative pain and the consumption of analgesics. Patients and methods: We included 42 patients in this prospective observational pilot study. Patients were divided into two groups. One group was treated in accordance with the WHO standard pain management protocol and in addition to that received a continuous local wound infusion treatment (Group 1). Group 2 was treated with analgesics in accordance with the WHO standard pain management protocol, exclusively. Results: The study demonstrated a significantly reduced postoperative VAS score for stump pain in Group 1 for the first 5 days. Furthermore, the intake of opiates was significantly reduced in Group 1 (day 1, Group 1: 42.1 vs. Group 2: 73.5, p = 0.010; day 2, Group 1: 27.7 vs. Group 2: 52.5, p = 0.012; day 3, Group 1: 23.9 vs. Group 2: 53.5, p = 0.002; day 4, Group 1: 15.7 vs. Group 2: 48.3, p = 0.003; day 5, Group 1 13.3 vs. Group 2: 49.9, p = 0.001). There were no significant differences between the two groups, neither in phantom pain intensity at discharge nor postoperative complications and death. Conclusions: Continuous postoperative wound infusion with a local anaesthetic in combination with a standard pain management protocol can reduce both stump pain and opiate intake in patients who have undergone transfemoral amputation. Phantom pain was not significantly affected.

Associations Between Higher-Order Values Vary with Age, Education, and Income

2020 ◽  
Author(s):  
Maksim Rudnev
Keyword(s):  
Cognitive Abilities ◽  
Developed Countries ◽  
European Social Survey ◽  
Higher Order ◽  
Group Differences ◽  
Social Survey ◽  
Value Structures ◽  
Younger Age ◽  
The Individual ◽  
Representative Samples

A theory of basic human values relies on the similarity of value structures across countries. It has been well established that the quasi-circumplex value structure as a whole is indeed universal. However, less attention has been paid to the associations between specific values. This study investigated associations between four higher-order values across age, education, and income groups. We analyzed the data from national representative samples collected in 29 countries as part of the fourth round of the European Social Survey with a series of multilevel regressions. Younger age, higher levels of education and income coincided with higher independence of the four adjacent higher-order values, whereas among older, less educated, and less wealthy groups, values tended to merge into a single dimension of Social versus Person Focus. These differences were slightly weaker in more economically developed countries. The group differences in value associations may follow from corresponding differences in the degree of societal and individual empowerment, cognitive abilities, and socialization experiences. Accounting for the individual differences in relations between values may bring deeper understanding and higher predictive power to the studies of links between values and various behaviors or attitudes. , value structure, value interactions, European Social Survey

High Risk of One-year Stroke Recurrence in Patients with Younger Age and Prior History of Ischemic Stroke

2019 ◽  
Vol 16 (3) ◽  
pp. 250-257 ◽  
Author(s):  
Jiann-Der Lee ◽  
Ya-Han Hu ◽  
Meng Lee ◽  
Yen-Chu Huang ◽  
Ya-Wen Kuo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Ischemic Stroke ◽  
Multivariate Logistic Regression Analysis ◽  
Stroke Recurrence ◽  
Prior History ◽  
Multivariate Logistic Regression ◽  
Cart Analysis ◽  
Younger Age ◽  
History Of ◽  
One Year

Background and Purpose: Recurrent ischemic strokes increase the risk of disability and mortality. The role of conventional risk factors in recurrent strokes may change due to increased awareness of prevention strategies. The aim of this study was to explore the potential risk factors besides conventional ones which may help to affect the advances in future preventive concepts associated with one-year stroke recurrence (OSR). Methods: We analyzed 6,632 adult patients with ischemic stroke. Differences in clinical characteristics between patients with and without OSR were analyzed using multivariate logistic regression and classification and regression tree (CART) analyses. Results: Among the study population, 525 patients (7.9%) had OSR. Multivariate logistic regression analysis revealed that male sex (OR 1.243, 95% CI 1.025 – 1.506), age (OR 1.015, 95% CI 1.007 - 1.023), and a prior history of ischemic stroke (OR 1.331, 95% CI 1.096 – 1.615) were major factors associated with OSR. CART analysis further identified age and a prior history of ischemic stroke were important factors for OSR when classified the patients into three subgroups (with risks of OSR of 8.8%, 3.8%, and 12.5% for patients aged > 57.5 years, ≤ 57.5 years/with no prior history of ischemic stroke, and ≤ 57.5 years/with a prior history of ischemic stroke, respectively). Conclusions: Male sex, age, and a prior history of ischemic stroke could increase the risk of OSR by multivariate logistic regression analysis, and CART analysis further demonstrated that patients with a younger age (≤ 57.5 years) and a prior history of ischemic stroke had the highest risk of OSR.

scholarly journals Global Sensory Impairment Independently Predicts Decreased Social Function Over Time

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 414-414
Author(s):  
Anna Huang ◽  
Kristen Wroblewski ◽  
Ashwin Kotwal ◽  
Linda Waite ◽  
Martha McClintock ◽  
...  
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Cognitive Function ◽  
Social Engagement ◽  
Social Function ◽  
Ordinal Logistic Regression ◽  
Sensory Function ◽  
Sensory Impairment ◽  
Over Time

Abstract The classical senses (vision, hearing, touch, taste, and smell) play a key role in social function by allowing interaction and communication. We assessed whether sensory impairment across all 5 modalities (global sensory impairment [GSI]) was associated with social function in older adults. Sensory function was measured in 3,005 home-dwelling older U.S. adults at baseline in the National Social Life, Health, and Aging Project and GSI, a validated measure, was calculated. Social network size and kin composition, number of close friends, and social engagement were assessed at baseline and 5- and 10-year follow-up. Ordinal logistic regression and mixed effects ordinal logistic regression analyzed cross-sectional and longitudinal relationships respectively, controlling for demographics, physical/mental health, disability, and cognitive function (at baseline). Adults with worse GSI had smaller networks (β=-0.159, p=0.021), fewer close friends (β=-0.262, p=0.003) and lower engagement (β=-0.252, p=0.006) at baseline, relationships that persisted at 5 and 10 year follow-up. Men, older people, African-Americans, and those with less education, fewer assets, poor mental health, worse cognitive function, and more disability had worse GSI. Men and those with fewer assets, worse cognitive function, and less education had smaller networks and lower engagement. African-American and Hispanic individuals had smaller networks and fewer close friends, but more engagement. Older respondents also had more engagement. In summary, GSI independently predicts smaller social networks, fewer close friends, and lower social engagement over time, suggesting that sensory decline results in decreased social function. Thus, rehabilitating multisensory impairment may be a strategy to enhance social function as people age.

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