ThemeN 2 The basic of medical statistics Dalia ali Group 161A

ThemeN 2
The basic of medical statistics
Dalia

ali
Group 161A.

the population depending on social, economic, cultural, sanitary-hygienic, medical and

biologic factors and has a goal of establishing tendencies of these dependences in conditions of activity of system medical care.

1.1 Demographic processes;
1.2 Morbidity;

1.3 Invalidity ;
1.4 Somatometry and determining of biochemical constants;
1.5 Mental health and psychometry.

Water;
2.3 Radiation;
2.4 Nutrition;
2.5 Material welfare;
2.6 Work and training;
2.7 Rest;
2.8 Behavior.

budget of public health services.

4.0 Activity of system of public

health services:
4.1 Ambulatory and polyclinics;
4.2 Hospitals;
4.3 Drugstores;
4.4 Social - medical activity.

By volume

2.0 By time

3.0 By type

blood glucose)
•Histograms
•Measures of location
–mean, median…
•Measures of spread
–variance, standard deviation, range,

interquartile range

1.1 A concentration and preservation of the data;

1.2 Data transmission.

2.2 Coding and grouping of the data;

2.3 Registration;
2.4 Calculation of average values, dispersions, errors;
2.5 Comparison, definition of a difference;
2.6 Correlation, regress, complex estimations.

3.0 The analysis of the data:
3.1 Survey, interpretation analysis;
3.2 The mathematical analysis: disperse, multifactor, initial, logistic, system, etc.

medic-statistical research .
Medical-statistical research can be complete or selective.
Complete or

continuous research covers all observation units.
Selective research covers a representative part of the supervision units, which enables to evaluate phenomenon in whole.

results of research.
The next question is time and term of

the research. Research can last constantly, that is to be current, to be carried out periodically, during certain time or to be one-stage.
Constant researches are: studying of natural movement of the population, periodic — studying of prevalence of chronic diseases, one-stage — population census, fixing of a condition of medical service

includes quantitative and qualitative check, coding and grouping of these

data. Quantitative check means check of correctness of statistical record of documents, qualitative — logic comparison of the data, for example, age and the diagnosis, age and employment, growth and weight of a body, etc. Later there is coding. To each quantitative or qualitative characteristic of the phenomenon certain code is given.

quantitative or qualitative characteristics with the purpose of their analysis

Variable — is a quantitative or qualitative values of the concrete characteristic of the phenomenon, for example, newborn can have length of a body 47, 48, 49, 50, etc
An absolute value — the number which characterizes the phenomenon in its absolute (arithmetic) value.
A relative value — a number which characterizes the relation of one value to another and can mean a part, frequency or a ratio of one number to another. An absolute value — the number which characterizes the phenomenon in its absolute (arithmetic) value.

A variation line

values in a series.
1.The range is used to measure data

spread.

2.The range provides no information concerning the scatter within the series.

and represent an object of the statistical analysis. For example,

in research of demographic problems of the country by statistical set there will be all of its population; in research of the stationary aid — hospitalized patients.
General statistical totality includes all elements of research.
Selective statistical totality contains a part of general totality, which represents all of its elements. It should to be selected from general statistical set to give the same chance to get in sample to each statistical unit.

there is a statistical set (for example, a person, a

family, a newborn, a pregnant woman, a patient with ischemic heart disease , etc.
Statistical attribute is a general property for all units, which is studied during statistical research, for example, studying of weight, growth, disease in newborn etc.
Statistical index is the statistical value which makes it possible to characterize the phenomenon.
Processing the statistical data and the formation of statistical tables allows understanding the researched phenomena better.

and lines on which crossing statistics data are placed.

There are

simple, group and combined tables.

table)

(the group table)

is much more frequently applied in the statistical analysis —

an average term of stay of the patient in bed, average spaciousness of hospitals, etc.
The dispersion from average value shows variability (fluctuation) of an individual cases in relation to average value.
The average error displays the relation of the statistics received at selective research, to a parameter of continuous or complete research.
Parameters of correlation and regress are used for definition of functional, causal relationships between two or more characteristics.

display frequency of the phenomenon in the environment, indicate its

level.

statistics themselves the following kinds of relative parameters are used:

Extensive;
Intensive;
Relative intensity;
Visualization ;
Correlation

parts of the phenomena (structure), that is it shows, what

part from the general number of all diseases (died) is made with this or that disease which enters into total.


The general formula of its subtraction is the following:
part × 100
common number

frequently the given phenomenon occurs in the given environment.

General

formula of the calculation is the following:

phenomenon ×100(1000;10 000;100 000) environment

or several structures of the same elements of a set,

which is studied.


The parameter of visualization characterizes the relation of any of comparable values to the initial level accepted for 100.

General formula of the calculation is the following:

phenomenon ×100(1000;10

000;100 000) environment (which doesn’t produces this phenomenon)

I. Calculation of intensive indices in compared

groups.

Stage II. Choice and calculation of standard

Stage III. Calculation of “expected” figures in every
group of standard.

Stage IV. Calculation of standardized indices.

Stage V. Comparative of simple intensive and
standardized indices, conclusion.