Data Analysis for Dexa Scan Referral Rates and Osteopenia Diagnosis

Data Analysis
Post Test Phase
Sample size:
Sixty-six contributors from Cranford area, one hundred and twelve contributors from
Elizabeth site
Statistics Used:
Both nominal and scale data have been used. The graphic statistics such as frequency,
percentages and crosstabs, parametric one-sample T-test with a 95% confidence interval to
examine the quantitative values (detailed store) and non-parametric tests were employed to
castoff the “null” hypothesis.
“Null” hypothesis at the substantial level 0.05:
1. The dissemination of the diverse values across scored and denoted are
correspondingly prospective (reject; not likely).
2. The dispersal of the detailed score (raw store) is alike across classifications of stated
(rejected; not the same)
On the other hand, the null hypothesis describes that “Dexa scan recommended rates
would be similar; had no variances after ORAI”. In one case, T-test is utilized to
assist to reject the null set and search out whether ORAI is adequate enough to utilize
in the primary care medical offices. It is significant enough to alert primary care
providers that practice of ORAI intensifies DEXA scan referral rates in prime care
medical offices and outpatient clinics.
Age, gender and ethnicity are the qualitative and nominal data variables are entered
into the IBM SPSS Statistics data analysis program. It is utilized for collaborative
statistical data analysis. Such software program has been investigated data sets
(labeled variables without quantitative worth) by expending categories like frequency,
percentage, and crosstabs to decide whether or not there are any variations,
comparisons or other interactions between variables.
This project has gathered qualitative-nominal data - on a binary, yes/no matrix. It
reflects that the patients questioned could only offer a yes or no response to the
questions asked and were incapable to offer a value that varied by degree of force. For
instance, one question in this study has been asked if patients have taken cortisol
steroids “for a protracted period?” The patients were supposed to answer with just yes

or no. The data collector and educational hand-outs helped the patient to define what
“a protracted period” would be.
Labels/Names and Values
There are seventeen nominal data variables from the analysis such as complexion,
gender race, weight, family history, dairy, height, and exercise. The score made by the
contributors characterized as “scored” centered on whether or not they gathered
twelve or more points. Only one quantitative variable (detailed score) and is
deliberated by making use of the one-sample T-test with a 95 % confidence break of
the variance. The outcomes identified are: centered on the substantial 2-tailed (lower
and upper values), the sample size was 178, the mean was 9.02, t was 28.909,
standard deviance was 4.2 and standard error mean was 0.31. This project separated
referral rates. The referral rates were intended by separating them into 2 classes and
characterized as to whether or not the contributors were referred.
Values:
The contributors were provided with the numerical value of “1” in order to decide the
criteria or met with it like numeric value “1” is stated to white fair skin tone and “2”
for all other contributors who are not capable of meeting the criteria. SPSS inevitably
marked them with either number 1 or 2 contingent on the values being dignified.
Graphs
SPSS has a role in putting the outcomes into graphs, categorizing the patient loch by gender,
height, ethnicity, diet, weight, exercise, family history, rest lifestyle elements, and discrete
medical antiquity. It is not restrained to the former cracks, dental diseases, steroid usage,
long-lasting diseases and whether the females are pre or post-menopausal.
Cross-tabs
Both qualitative and quantitative sores came from medical offices and were investigated in
contradiction of Dexa Scan referrals by utilizing the crosstabs analysis methods in a duration
of one month period. Cross tabulation is a part of the SPSS procedure which takes into
account several variables, representing the relationship in the tabular form for the better ease
of the analysis. This research has cross tabularized multiple variables to pursuit substantial
statistical outcomes like investigating the recommendation rates of menopausal women in
percentages who ingest dairy products with those that refrain from dairy.
Error Analysis

The report represented that there is no fault occurred at the time of data revolution from
spread-sheets to the software and the contributors attained the most scores from the latter
section of ORAI where the significance of long-lasting ailments, post-menopausal
prominence, long term steroid usage played an excessive role.
The report reflected that data analysis defined the substantial variance between the
anticipated values versus the experiential one. The pre and post-test and doctor’s office’s
DEXA scan referral rates altogether. The data analysis concentrates on the procedures of
central tendency comprising the mean, and median. It is more generally used frequencies
versus measures of variable utilized only for rule data or measurable data at the time of the
calculation of the “Detail Score” like variance, standard deviation, the kurtosis, skewness,
minimum and maximum variables. On the other side, a numerical scale is intended by higher-
level descriptive statistical technique than modestly using frequencies and percentages.
The null hypothesis has been disproved by data analysis means that there is no statistical
consequence (same or likely) between DEXA scan referral rates along with the execution of
ORAI instruments. It demonstrates a statistically substantial relationship between the two
variables. The null hypothesis should be prohibited and a substitute should be used reflecting
that there are implications demonstrated between the scores and the referral rates. They are
not dispersed similarly or they are not similar.
Statistical Data
Demographics
The demographics of the project represent that 52.8 percent of the populace was
women whereas male represented 47.2%. Among these, 42.1 % were fair toned and 57. 9
percent were other rivalries. It was viewed that 44.9 % had white skin color and the
remaining had a suntanned or dark skin color. The outcome was received in 6.7% of the
populace was under 125 pounds and 93.3 percent was overhead 125 pounds on the measure.
Afterward, only 14.6 % of the populace said yes to family antiquity of breakages. On the
other side, more than 53.9 % confesses sighted their seniors at home with a deformed back
look.
Chronic Illnesses Data Analysis
It was viewed that populace had generally long-lasting diseases irrespective of the
demographics and lifestyle.
¾ of the female contributors had menopause.
Just 27% scored sufficient to be referred among all these populace to be stated and
among them just 23.6% stated.