Predictive Factors for Patients’ Failure to Show for Initial Outpatient Physical Therapist Evaluation

2021 ◽  
Author(s):  
Matthew Briggs ◽  
Christine Ulses ◽  
Lucas VanEtten ◽  
Cody Mansfield ◽  
Anthony Ganim ◽  
...  
Keyword(s):  
Predictive Factors ◽  
Employment Status ◽  
Physical Therapist ◽  
Demographic Data ◽  
Binary Logistic Regression ◽  
Final Analysis ◽  
Outpatient Setting ◽  
Binary Logistic Regression Model ◽  
Number Of Patients ◽  
Payer Source

Abstract Objective The objective of this study was to xamine primary factors which may predict patients’ failure to show at initial physical therapist evaluation in an orthopedic and sports outpatient setting. Methods A retrospective analysis of patients’ demographic data for physical therapist evaluations between January 2013 and April 2015 was performed. A binary logistic regression model was used to evaluate the odds of a no-show at evaluation. Demographic variables of age, employment status, days waited for the appointment, payer source, and distance traveled to clinic were analyzed. Independent variables were considered significant if the 95% Cis of the odds ratios did not include 1.0. Results A total of 6971 patients were included in the final analysis with 10% (n = 698) of the scheduled patients having a no-show event for their initial evaluation. The following factors increased the odds of patients having a no-show event: days to appointment (OR = 1.058; 95% CI = 1.042 to 1.074), unemployment status (OR = 1.96; 95% CI = 1.41 to 2.73), unknown employment status (OR = 3.22; 95% CI = 1.12 to 8.69), Medicaid insurance (OR = 4.87; 95% CI = 3.43 to 6.93), Medicare insurance (OR = 2.22; 95% CI = 1.10 to 4.49), unknown payer source (OR = 262.84; 95% CI = 188.72 to 366.08), and distance traveled ≥5 miles (OR = 1.31; 95% CI = 1.01 to 1.70). Female sex [OR = 0.73; 95% CI = 0.57 to 0.95) and age ≥ 40 years (OR = 0.44; 95% CI = 0.33 to 0.60) decreased the odds of a no-show event. Conclusion Results from this study indicate there may be some demographic factors that are predictive of patients failing to attend their first physical therapist visit. Impact Understanding the predictive factors and identifying potential opportunities for improvements in scheduling processes might help decrease the number of patients failing to show for their initial physical therapy appointment, with the ultimate goal of positively influencing patient outcomes.

Prevalence of facemask use among general public when visiting wet market during Covid-19 pandemic: An observational study. (Preprint)

2020 ◽  
Author(s):  
Gobi Hariyanayagam ◽  
Sera Selvanthan Sundram Gunasekaran ◽  
Shargunan Selvanthan Gunasekaran ◽  
Nur Syafina Insyirah Zaimi ◽  
Nor Amirah Abdul Halim
Keyword(s):  
High Risk ◽  
General Population ◽  
Binary Logistic Regression ◽  
Final Analysis ◽  
High Risk Population ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
Hygiene Measures ◽  
Wet Market ◽  
Medical Grade

BACKGROUND In late December 2019, an outbreak of a novel coronavirus disease (COVID-19; previously known as 2019-nCoV) was epidemiologically linked to seafood and wet animal market in Wuhan, Hubei, China. This event has instigated negative stigma among the general population to view the wet market as a high-risk location for potential transmission of coronavirus. OBJECTIVE This study investigated the prevalence of facemask use among general population visiting the wet market as well as factors contributing to unacceptable facemask practice. Setting The visitors to a district wet market selling range of live or freshly slaughtered animals during COVID-19 pandemic outbreak was observed for facemask practice. METHODS All Individuals visiting the market were observed for the type, category and practice of wearing facemas. Subjects were categorized into two groups of acceptable and unacceptable facemask practice. The Pearson chi-square was used to test for differences in investigated variables in the univariate setting and Binary Logistic regression model was used in the multivariate setting. Main outcome measure Prevalence, acceptance practice and odds ratio of unacceptance of facemask use. RESULTS Among 1697 individuals included in the final analysis, 1687 (99.7%) was observed wearing facemask with 1338 (78.8%) using medical-grade facemask. Among them, 1615 (95.7%) individuals facemask practice was acceptable while the reaming 72 (4.3%) individuals were observed with unacceptable facemask practice. Individuals using medical-grade facemask and high-risk age group are 6.4 times (OR=6.40; 95% CI, 2.00-20.43; p=.002) and 2.06 times practice (OR=2.06; 95% CI, 1.08-3.94; p=.028) more likely to have unacceptable facemask practice respectively. CONCLUSIONS High saturation of facemask among the general population is an adequate indicator of public hygiene measures strategy which can help to mitigate the COVID-19 epidemic impact. Alarmingly, the unacceptable facemask practice among high-risk population raises the need for a targeted approach by healthcare authorities to ensure satisfactory facemask use.

scholarly journals VARIOUS FACTORS INVOLVED DURING SAFE LAPAROSCOPIC CHOLECYSTECTOMY IN CASES OF EMPYEMA GALL BLADDER

2021 ◽  
Vol 71 (2) ◽  
pp. 540-44
Author(s):  
Muhammad Ismail ◽  
Nasir Mehmood Watto ◽  
Muhammad Qasim Butt ◽  
Fareeha Naz
Keyword(s):  
Logistic Regression ◽  
Gall Bladder ◽  
Strong Association ◽  
Binary Logistic Regression ◽  
Final Analysis ◽  
Military Hospital ◽  
Chi Square ◽  
Cross Sectional ◽  
Number Of Patients ◽  
Chi Square Test

Objective: To evaluate the various factors involved during the safe cholecystectomy performed by laparoscopic method in cases of empyema of gall bladder operated at Pak Emirates Military Hospital Rawalpindi. Study Design: Cross-sectional analytical study. Place and Duration of Study: Pak Emirates Military Hospital, Rawalpindi, from Nov 2017 to Mar 2019. Methodology: This study was performed on 70 patients undergoing cholecystectomy by laparoscopic method for empyema gall bladder during the study period. Adverse effects after the procedure were assessed in detail at 48 hours, at time of discharge and two weeks after the procedure on all the participants. Demographic profile and other factors were compared in the groups with and without the complications by using the chi-square test and binary logistic regression. Results: Out of 70 patients included in the final analysis 24 (34.3%) were male and 46 (65.7%) were female. Mean age of patients who underwent laparoscopic surgery for empyema gall bladder in our study was 42.43 ± 3.161 years. Bile duct perforation and leakage 6 (8.5%) was the commonest complication among the patients included in our study followed by surgical site infection 5 (7.1%). With binary logistic regression we found that presence of co-morbids and high preoperative C reactive protein had a strong association with presence of complications among the patients undergoing cholecystectomy in our study while age, gender, transfusion during surgery were not linked with the complications during or after the study. Conclusion: Limited number of patients faced the complications during or after the surgery. Patients with co-morbid.............

scholarly journals Prevalence and Acceptance of Face Mask Practice among Individuals Visiting Hospital during COVID-19 Pandemic: An Observational Study

2020 ◽  
Author(s):  
Gobi Hariyanayagam Gunasekaran ◽  
Sera Selvanthan Sundram Gunasekaran ◽  
Shargunan Selvanthan Gunasekaran ◽  
Fouzia Hanim Binti Abdul Halim
Keyword(s):  
High Risk ◽  
Observational Study ◽  
Odds Ratio ◽  
Binary Logistic Regression ◽  
Final Analysis ◽  
Face Mask ◽  
High Risk Population ◽  
Binary Logistic Regression Model ◽  
Hygiene Measures ◽  
Entry Points

Background: The COVID-19 transmission has been established to occur through respiratory droplets from coughing and sneezing. Health agencies have strongly recommended the use of facemask as a precaution from cross-transmission. Objective: This study investigated the prevalence of facemask use among visitors to the hospital. This study also investigated the demographic factors contributing to unacceptable facemask practice. Setting: This prospective observational study was done among hospital visitors to a district specialist hospital during COVID-19 pandemic outbreak. Methods: Individuals entering through dedicated entry point were observed for the type, category and practice of wearing personal protective equipment. Inclusion criteria for this study were any individual's ≥ 2 years old entering the treatment facility from selected entry points. Patients were categorized into two groups of acceptable and unacceptable facemask practice. The Pearson chi-square was used to test for differences in investigated variables in the univariate setting and Binary Logistic regression model was used in the multivariate setting. Main Outcome Measure: Prevalence, acceptance practice and odds ratio of unacceptance of facemask use. Results: Among 1652 individuals included in the final analysis, 1574 (96.9%) was observed wearing facemask with 1269 (72.0%) of individuals worn medical-grade facemask. However, among them, only 1397 (88.8%) individuals' facemask practice was acceptable while the reaming 177 (11.2) individuals were perceived with unacceptable facemask practice. Male individuals, Malay ethnic and high risk age group are 1.47 times (Odds Ratio: OR=1.47; 95% CI, 1.06-2.06; p=.023), 2.18 times (OR=2.18; 95% CI, 1.55-3.08; p<.001) and 1.99 times (OR=2.18; 95% CI, 1.42 - 2.77; p<.001) more likely to exhibit unacceptable facemask practice respectively. Conclusion: Extensive use of facemasks coupled with environmental hygiene measures is a public health strategy which can help to mitigate the COVID-19 epidemic impact. However, a targeted comprehensive strategy to improve compliance to proper facemask practice among the high-risk population is needed to achieve maximal protective benefit.

Examining the willingness of youths to participate in agriculture to halt the rising rate of unemployment in South Western Nigeria

2019 ◽  
Vol 46 (3) ◽  
pp. 578-590 ◽  
Author(s):  
Wasiu Olayinka Fawole ◽  
Burhan Ozkan
Keyword(s):  
Employment Status ◽  
Binary Logistic Regression ◽  
Educational Status ◽  
Primary Data ◽  
Willingness To Participate ◽  
Binary Logistic Regression Model ◽  
Content Type ◽  
Employment Generation ◽  
The Government ◽  
Conducive Environment

Purpose The purpose of this paper is to investigate the willingness of unemployed graduates to participate in agriculture with a view to showcase the potentials in Nigerian agriculture especially in the area of employment generation for the youths. Design/methodology/approach The study made use of primary data collected with the aid of structured questionnaires from 180 respondents from the three states of Ondo; Oyo and Osun states are the representative states from the entire South West. The binary logistic regression model was used to identify those factors that influence the willingness of the respondents who were graduates of various disciplines to participate in agriculture. Findings The findings of the study showed that the majority of the respondents interviewed representing 62.8 percent were unemployed with the majority of the respondents (68.3 percent) willing to participate in agriculture given the needed and required supports such as conducive environment by the stakeholders particularly the government. Educational status, marital status, gender, possession of agricultural training and employment status of respondents significantly influenced their willingness to participate in agriculture. Research limitations/implications The greatest limitation of this study is its sample size which is considerably small but considering the peculiarity in the challenges faced by the entire population; this limitation has been overcome, thus, making its findings valid for policy purposes. However, recommendations for further studies that would comprise the entire geopolitical zones of the country to pave way for comparative analysis were made. Originality/value The study is originally carried out by conducting a survey to collect the data and is coming to fill the existing gap in the literature in terms of potentials embedded in Nigerian agriculture to assist the government in providing employment opportunities for teeming youths.

scholarly journals Likelihood of Insurance Coverage on Damages Due to Level of Insecurity in Nigeria: Logistic Modeling Approach

2021 ◽  
Vol 7 (1) ◽  
pp. 50-59
Author(s):  
Orumie Ukamaka Cynthia ◽  
Desmond Chekwube Bartholomew ◽  
Chukwudi Paul Obite ◽  
Kiwu Chizoba Lawrence
Keyword(s):  
Primary Education ◽  
Employment Status ◽  
Formal Education ◽  
Insurance Coverage ◽  
Binary Logistic Regression ◽  
Education Level ◽  
Binary Logistic Regression Model ◽  
Management Tools ◽  
Insurance Cover ◽  
Model Approach

Insurance serves as a protection against the unexpected and it is one of the most effective risk management tools that protect individuals from being bankrupt due to various contingencies. The binary logistic regression model approach was used to model the described dataset; the model so obtained was statistically significant. All the levels of education were statistically significant in predicting the odds of having insurance cover except for primary education level. Also, employment status and age were statistically significant in predicting the likelihood for insurance cover in Nigeria. The results showed that individuals who move from no formal education to obtain Higher education level are 21.66 times more likely to obtain insurance cover and individuals who move from no formal education to obtain Secondary education level are 2.63 times more likely to obtain insurance cover. The odd ratio is not significant for moving from no formal education to Primary education and therefore should not be interpreted. Further, individuals who move from being unemployed to being employed are more likely to obtain insurance cover. Education has the highest impact in predicting the likelihood for one to have insurance cover in Nigeria. This paper recommends overhauling of the educational system in order to revamp this sector.

Credit constraints and Rural Migration: Evidence from Six Villages in Uttar Pradesh

2018 ◽  
Vol 15 (3) ◽  
pp. 389-398
Author(s):  
Ruchi Singh
Keyword(s):  
Credit Constraints ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Male Migration ◽  
Rural Economies ◽  
And Migration ◽  
The Relationship ◽  
The Empirical Analysis

Rural economies in developing countries are often characterized by credit constraints. Although few attempts have been made to understand the trends and patterns of male out-migration from Uttar Pradesh (UP), there is dearth of literature on the linkage between credit accessibility and male migration in rural Uttar Pradesh. The present study tries to fill this gap. The objective of this study is to assess the role of credit accessibility in determining rural male migration. A primary survey of 370 households was conducted in six villages of Jaunpur district in Uttar Pradesh. Simple statistical tools and a binary logistic regression model were used for analyzing the data. The result of the empirical analysis shows that various sources of credit and accessibility to them play a very important role in male migration in rural Uttar Pradesh. The study also found that the relationship between credit constraints and migration varies across various social groups in UP.

An Analysis of Dental Implants Survival and Success

2018 ◽  
Vol 69 (9) ◽  
pp. 2465-2466
Author(s):  
Iustin Olariu ◽  
Roxana Radu ◽  
Teodora Olariu ◽  
Andrada Christine Serafim ◽  
Ramona Amina Popovici ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Medical History ◽  
Retrospective Cohort Study ◽  
Odds Ratio ◽  
Retrospective Cohort ◽  
Demographic Data ◽  
Kaplan Meier ◽  
Number Of Patients ◽  
Health Related

Osseointegration of a dental implant may encounter a variety of problems caused by various factors, as prior health-related problems, patients� habits and the technique of the implant inserting. Retrospective cohort study of 70 patients who received implants between January 2011- April 2016 in one dental unit, with Kaplan-Meier method to calculate the probability of implants�s survival at 60 months. The analysis included demographic data, age, gender, medical history, behavior risk factors, type and location of the implant. For this cohort the implants�survival for the first 6 months was 92.86% compared to the number of patients and 97.56% compared to the number of total implants performed, with a cumulative failure rate of 2.43% after 60 months. Failures were focused exclusively on posterior mandible implants, on the percentage of 6.17%, odds ratio (OR) for these failures being 16.76 (P = 0.05) compared with other localisations of implants, exclusively in men with median age of 42 years.

scholarly journals Least Likely Observations in Regression Models for Categorical Outcomes

2002 ◽  
Vol 2 (3) ◽  
pp. 296-300 ◽  
Author(s):  
Jeremy Freese
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Binary Logistic Regression ◽  
Positive Outcome ◽  
Ordinary Least Squares ◽  
Parameter Estimates ◽  
Least Squares Regression ◽  
Binary Logistic Regression Model ◽  
Ordered Logistic Regression ◽  
Negative Outcome

This article presents a method and program for identifying poorly fitting observations for maximum-likelihood regression models for categorical dependent variables. After estimating a model, the program leastlikely will list the observations that have the lowest predicted probabilities of observing the value of the outcome category that was actually observed. For example, when run after estimating a binary logistic regression model, leastlikely will list the observations with a positive outcome that had the lowest predicted probabilities of a positive outcome and the observations with a negative outcome that had the lowest predicted probabilities of a negative outcome. These can be considered the observations in which the outcome is most surprising given the values of the independent variables and the parameter estimates and, like observations with large residuals in ordinary least squares regression, may warrant individual inspection. Use of the program is illustrated with examples using binary and ordered logistic regression.

scholarly journals Hair Cortisol Concentrations Are Associated with Dental Anxiety during Pregnancy

2021 ◽  
Vol 9 (4) ◽  
pp. 42
Author(s):  
Hilja Viitaniemi ◽  
Auli Suominen ◽  
Linnea Karlsson ◽  
Paula Mustonen ◽  
Susanna Kortesluoma ◽  
...  
Keyword(s):  
Hair Sample ◽  
Psychological Symptoms ◽  
Smoking Status ◽  
Dental Anxiety ◽  
Binary Logistic Regression ◽  
Birth Cohort Study ◽  
Hair Cortisol ◽  
Binary Logistic Regression Model ◽  
Gestational Week ◽  
Independent Association

Dental anxiety (DA) and hair cortisol concentrations (HCC) are associated with psychological symptoms and vary during pregnancy. We aimed to examine the association between HCC and DA at two points of pregnancy. Participants were pregnant mothers (n = 533) drawn from the FinnBrain Birth Cohort Study donating a hair sample at gestational week (gwk) 24 (n = 442) and/or at delivery (n = 176) and completed questionnaires on DA. Two groups, HCC1 and HCC2, treated as separate in the analyses, were formed according to the hair sample donation time i.e., gwk24 and delivery. 85 subjects were included in both groups. MDAS, EPDS, and SCL-90 were used to measure DA, depressive and anxiety symptoms, respectively, at gwk14 for the HCC1 group and gwk34 for the HCC2 group. The association between DA and HCC was studied with a binary logistic regression model, adjusted for anxiety and depressive symptoms, age, BMI, and smoking status. Individuals with high DA had lower HCC levels at gwk24 (OR = 0.548; 95% CI = 0.35–0.86; p = 0.009), but the association was not statistically significant at the delivery (OR = 0.611; 95% CI = 0.28–1.33; p = 0.216). The independent association between HCC and DA in pregnant women suggests that long-term cortisol levels could play a role in the endogenous etiology of DA. Further studies are however, needed.

Sign in / Sign up

Export Citation Format

Share Document