scholarly journals The Effects of Payer-Mix on Utilization during the COVID-19 Pandemic, in Urgent and Primary Care.

2021 ◽  
Author(s):  
Luis W Dominguez ◽  
Brandon Beattie ◽  
Alexander Poulose
Keyword(s):  
Regression Line ◽  
Urgent Care ◽  
Elastic Demand ◽  
Patient Volume ◽  
Simple Linear Regression ◽  
Healthcare Resources ◽  
Medicaid Population ◽  
Virtual Visits ◽  
Data Points ◽  
Simple Regression

Abstract BackgroundHealthcare utilization has changed dramatically during the COVID-19 crisis with the most dramatic drops coming in April 2020. While a lot of research has focused on utilization among the privately insured, or on comparing specialty-visits, comparatively less has been published on the effect of payer-mix, particularly Medicaid, on utilization. MethodsMonthly patient volume was gathered across 3 ambulatory primary and urgent care clinics. The timeframe included appointments, walk-ins and virtual visits from January through June 2020, including the nadir in April. Patient volume was then compared to average payer mix over that same time, at each clinic. A simple linear regression was then run, comparing changes in patient volume and percent Medicaid. ResultsTwo clinics had similar payer mixes, and saw similar decreases in utilization. A third clinic with twice as many Medicaid patients, saw only half the reduction in patient volume, during the nadir in April 2020. ConclusionGiven the limited number of data points, a more robust statistical analysis was not possible. A simple regression line indicated a correlation between the proportion of Medicaid patients and demand resilience for healthcare resources. At scale, the Medicaid population may be less vulnerable to variations in utilization, exhibiting less elastic demand, despite a pandemic, for a myriad of reasons.

scholarly journals Evaluation of Patient Experience During Virtual and In-Person Urgent Care Visits: Time and Cost Analysis

2021 ◽  
Vol 8 ◽  
pp. 237437352098148
Author(s):  
Saif Khairat ◽  
Xi Lin ◽  
Songzi Liu ◽  
Zhaohui Man ◽  
Tanzila Zaman ◽  
...  
Keyword(s):  
Patient Experience ◽  
Care Delivery ◽  
Turnaround Time ◽  
Cross Sectional Study ◽  
Emergency Department Visits ◽  
Urgent Care ◽  
Cross Sectional ◽  
Significant Difference ◽  
Virtual Visits ◽  
One Year

Urgent care (UC) is one of the fastest growing venues of health care delivery for nonemergent conditions. This study compared the patient experience during virtual and in-person urgent care visits. We conducted a cross-sectional study of patients with the same diagnosis during Virtual Urgent Care (VUC) and in-person UC visits with the same diagnosis with regard to time and cost over a period of one year. We recorded and analyzed 16 685 urgent care visits: In-person UC (n = 14 734), VUC (n = 1262). Significant differences were found in the average total time for a visit in an in-person UC (70.89 minutes), and VUC (9.38 minutes). The average total cost of VUC ($49) and in-person UC ($142.657) differed significantly. Significant difference was found between UC turnaround time and VC turnaround time (Dependent variable (DV): 53.77, P < .01). We found significant differences in cost and time between in favor of virtual visits. Our findings suggest additional policy reform to expand the use of virtual care among target populations to improve access, reduce costs, meet the needs of patients, and reduce emergency department visits.

Incorrect least-squares regression coefficients in method-comparison analysis.

1979 ◽  
Vol 25 (3) ◽  
pp. 432-438 ◽  
Author(s):  
P J Cornbleet ◽  
N Gochman
Keyword(s):  
Standard Deviation ◽  
Least Squares ◽  
Least Squares Method ◽  
Regression Line ◽  
Method Comparison ◽  
Regression Coefficients ◽  
Least Squares Regression ◽  
Data Set ◽  
Data Points ◽  
Regression Slopes

Abstract The least-squares method is frequently used to calculate the slope and intercept of the best line through a set of data points. However, least-squares regression slopes and intercepts may be incorrect if the underlying assumptions of the least-squares model are not met. Two factors in particular that may result in incorrect least-squares regression coefficients are: (a) imprecision in the measurement of the independent (x-axis) variable and (b) inclusion of outliers in the data analysis. We compared the methods of Deming, Mandel, and Bartlett in estimating the known slope of a regression line when the independent variable is measured with imprecision, and found the method of Deming to be the most useful. Significant error in the least-squares slope estimation occurs when the ratio of the standard deviation of measurement of a single x value to the standard deviation of the x-data set exceeds 0.2. Errors in the least-squares coefficients attributable to outliers can be avoided by eliminating data points whose vertical distance from the regression line exceed four times the standard error the estimate.

Relation between oxygen consumption and pressure-volume area of in situ dog heart

1987 ◽  
Vol 253 (1) ◽  
pp. 1-1 ◽  
Author(s):  
T. Nozawa ◽  
Y. Yasumura ◽  
S. Futaki ◽  
N. Tanaka ◽  
Y. Igarashi ◽  
...  
Keyword(s):  
Oxygen Consumption ◽  
Standard Deviation ◽  
Degrees Of Freedom ◽  
Regression Line ◽  
Computer Software ◽  
Confidence Limits ◽  
Sampled Data ◽  
Dog Heart ◽  
Data Points

Page H31: T. Nozawa, Y. Yasumura, S. Futaki, N. Tanaka, Y. Igarashi, Y. Goto, and H. Suga. “Relation between oxygen consumption and pressure-volume area of in situ dog heart.” Page H37: Fig. 6: Although the last sentence of the legend states “Solid lines are linear regression lines, and inner and outer pairs of dashed curves around them are 95% confidence limits of regression lines and data points, respectively,” these dashed lines show one standard deviation of both the slope of the regression line and the sampled data from the regression line. The authors forgot to multiply these standard deviation values by t value (2.069 for degrees of freedom = 23) for P le 0.05 in the computer software to obtain the 95% confidence limits. The other statistical results in Fig. 6 are correct.

scholarly journals PENGARUH PERSEPSI SISWA TENTANG KETERAMPILAN MENJELASKAN GURU TERHADAP PEMAHAMAN MATERI AKUNTANSI (Studi Kasus di SMAN 1 Pakusari Semester Genap Tahun Ajaran 2016/2017)

2017 ◽  
Vol 11 (1) ◽  
pp. 124
Author(s):  
Tri Suci Ulamatullah ◽  
Retna Ngesti Sedyati ◽  
Bambang Suyadi
Keyword(s):  
Positive Impact ◽  
Regression Line ◽  
Coefficient Of Determination ◽  
Collection Method ◽  
Independent Variables ◽  
Inferential Analysis ◽  
Learning Interest ◽  
Line Analysis ◽  
Simple Regression

The purpose of this research is to know the significant influence of students perception about explaining skill of the teachers which consists of 6 indicators those are clear, structured, using example, emphasis, interesting and reversal to the understanding of accounting material in SMAN 1 Pakusari. Determining method of research location used Purposive area in SMAN 1 Pakusari, Jember. Determination of respondents in this study used population method and there were 61 students. Data collection method used consists of some methods: questionnaires, interviews, observations and documents. Data analysis used is inferential analysis that is by simple regression line analysis, regression line variance analysis, F test and effectiveness of regression line / coefficient of determination. The results showed that students' perception on the teachers' explaining skill has a significant effect on the understanding of accounting material that is equal to 79.3%, is mean the perception of students on explaining skill given a positive impact to the understanding of accounting material ,while the remaining 20.7% is influenced by other independent variables that are not examined in this study such as the use of learning media, motivation and students learning interest

scholarly journals Pengaruh Dukungan Sosial Terhadap Kualitas Hidup ODHA di Kota Makassar KDS Saribattangku

2020 ◽  
Vol 11 (1) ◽  
pp. 80
Author(s):  
Aswar Aswar ◽  
Munaing Munaing ◽  
Justika Justika
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Random Sampling ◽  
Quantitative Methods ◽  
Simple Random Sampling ◽  
Simple Linear Regression ◽  
Analysis Techniques ◽  
Regression Tests ◽  
Simple Regression

The effect of Social Support on the Quality of Life of ODHA in Saribattangku KDS Makassar.This study aims to determine the effect of social support on the quality of life of PLWHA in KDS Saribattangku Makassar City. This research uses quantitative methods. The subjects in this study were 37 people using simple random sampling. Data analysis techniques used normality and linearity tests, and simple regression tests using SPSS 20 for Windows. The results of this study were analyzed by simple linear regression showing the value of F = 14.019 with a significance of 0.003 (p <0.05) which proves that social support has a significant effect on the quality of life of PLWHA in Makassar City, Saribattangku KDS. While the R2 value of 0.221 indicates that social support affects the quality of life of PLWHA by 22.1%. Based on these results, the hypothetical research is accepted.

scholarly journals Technical Note: Trend estimation from irregularly sampled, correlated data

2009 ◽  
Vol 9 (6) ◽  
pp. 27675-27692
Author(s):  
T. von Clarmann ◽  
G. Stiller ◽  
U. Grabowski ◽  
J. Orphal
Keyword(s):  
Regression Line ◽  
Technical Note ◽  
Correlated Data ◽  
Data Sets ◽  
State Variable ◽  
Error Covariance ◽  
Data Points ◽  
Atmospheric State ◽  
Global Data Sets ◽  
Global Data

Abstract. Estimation of a trend of an atmospheric state variable is often performed by fitting a linear regression line to a set of data of this variable sampled at different times. Often these data are irregularly sampled in space and time and clustered in a sense that error correlations among data points cause a similar error of data points sampled at similar times. Since this can affect the estimated trend, we suggest to take the full error covariance matrix of the data into account. Superimposed periodic variations can be jointly fitted in a straight forward manner, even if the shape of the periodic function is not known. Global data sets, particularly satellite data, can form the basis to estimate the error correlations.

scholarly journals Credibility in the Regression case Revisited (A Late Tribute to Charles A. Hachemeister)

1997 ◽  
Vol 27 (1) ◽  
pp. 83-98 ◽  
Author(s):  
H. Bühlmann ◽  
A. Gisler
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Regression Line ◽  
Good Choice ◽  
Design Matrix ◽  
Simple Linear Regression ◽  
One Dimensional ◽  
Regression Parameters ◽  
Definition Of ◽  
General Regression

AbstractMany authors have observed that Hachemeisters Regression Model for Credibility – if applied to simple linear regression – leads to unsatisfactory credibility matrices: they typically ‘mix up’ the regression parameters and in particular lead to regression lines that seem ‘out of range’ compared with both individual and collective regression lines. We propose to amend these shortcomings by an appropriate definition of the regression parameters:–intercept–slopeContrary to standard practice the intercept should however not be defined as the value at time zero but as the value of the regression line at the barycenter of time. With these definitions regression parameters which are uncorrected in the collective can be estimated separately by standard one dimensional credibility techniques.A similar convenient reparametrization can also be achieved in the general regression case. The good choice for the regression parameters is such as to turn the design matrix into an array with orthogonal columns.

Urgent Care Utilization in the Pediatric Medicaid Population

2017 ◽  
Vol 191 ◽  
pp. 238-243.e1 ◽  
Author(s):  
Amanda Montalbano ◽  
Jonathan Rodean ◽  
Therese Canares ◽  
Rebecca Burns ◽  
Brian Lee ◽  
...  
Keyword(s):  
Urgent Care ◽  
Care Utilization ◽  
Medicaid Population

scholarly journals (The effectiveness of the Bank Credit and its productivity in the Chadian economy: Chari Commercial Bank Case - (2008 / 2001: الائتمان المصرفي وأثره على الإنتاجية في الاقتصاد التشادي  (دراسة تطبيقية على مصرف شاري التجاري بالمقارنة مع مجموع المصارف التجارية العاملة بتشاد للفترة من (2001 /2008)

2020 ◽  
Vol 4 (13) ◽  
Author(s):  
Mahamat Boukhari Hassan
Keyword(s):  
Commercial Bank ◽  
Commercial Banks ◽  
Positive Relationship ◽  
Regression Line ◽  
National Income ◽  
Bank Credit ◽  
Total Contribution ◽  
Finance Development ◽  
Line Equation ◽  
Simple Regression

This study aimed to investigate the extent to which Chari Commercial Bank contributed to the productivity of the Chadian economy through its credit, to identify the contribution of the commercial banks operating in Chad and their role in the productivity of the Chadian economy through their credit and also to identify the contribution of Chari Commercial Bank in the productivity of Chadian economy and total contribution of commercial banks in Chadian economy. Problem of the study: The problem of the study was to confirm the effectiveness of commercial banks in their contribution to finance projects and productivity in the Chadian economy, also to know the importance and effectiveness of commercial banks in the Chadian society. Can it be relied upon commercial banks to finance development to contribute to productivity in the Chadian economy? Researcher method: the researcher used mathematical method to calculate the compound growth rates of credit of Chari Commercial Bank, total bank credit and the national income of Chad during the period 2001-2008. Researcher also used the standard approach using the simple regression line equation to measure the contribution of both the Chari Commercial Bank and the total bank credit in Chadian economy. Findings: The results showed that bank credit is of great importance to contribute to the productivity of the economies of countries, so it can be relied upon to raise the rates of economic development. There is also positive relationship between the credit granted by the Chari Commercial Bank and the national income of Chad. The results proved that Chari Commercial Bank contributes effectively to productivity in the Chadian economy, where its contribution to bank credit reached 16% of total bank credit granted in Chad.

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