Stage I. Calculating age indices.

Table 39
Stage I. Calculating age indices.
Age, in years		City population			Village population
	Number of inhabitants	Number of diphtheria cases	Index of sickness rate per 100000 inhabitants	Number of inhabitants	Number of diphtheria cases	Index of sickness rate per 100000 inhabitants
0-4	160000	160	10.0	320000	220	6.9
5-9	120000	60	5.0	225000	150	6.7
10-19	240000	35	1.5	315000	60	1.9
20-49	350000	20	0.6	400000	40	1.0

Table 40

Stage II. Calculating age composition of population, assumed for standard

Age, in years		Number of inhabitants		Age composition of population
	City	Village	Total
0-4	160000	320000	480000	1920
5-9	120000	225000	345000	1380
10-19	240000	315000	555000	2220
20-49	350000	400000	750000	3000
50	130000	240000	370000	1480
Total	1000000	1500000	2500000	10000

Table 41

Stage III. Calculating standardized coefficients.

Age, in years	Age indices of sickness rate per 10000 inhabitants		Standard of age composition of population	How many people of a given age under given indices and age distribution of population by a standard
	City	Village		City population	Village population
0-4   5-9 10-19 20-49 50 and over	10.0 5.0 1.5 0.6 0.4	6.9   6.7 1.9 1.0 0.4	1920   1380 2220 3000 1480	10x1920/10000 1.92 0.69 0.33 0.18 0.06	6.9x1920/10000 = 1.32 0.92 0.42 0.30 0.06
Total	2.8	3.2	10000	3.18	3.02

 

 

Main question:

1. What is dynamic row?

2. Kinds of dynamic row.

3. Method to smooth out dynamic row.

4. Indices of dynamic row.

5. Using dynamic row in the practical work of doctors.

6. Direct method of standardization.

7. Stage of standardization.

8. Using the standardization in practical medicine.

 

DYNAMIC ROW

Example:

Number of the population of Russian from 1991-2011.

1991	216.3
1996	232.2
2001	243.9
2006	255.6
2011	266.6

 

1. Absolute growth of difference between the past and following years:

1996 – 232.2 2001 – 243.9 2006 – 255.6 2011 – 266.6

 

1991= 216.3 1996 = 232.2 2001 = 243.9       2006 = 255.6

15.9              11.7              11.7                     11.0

For the past 20 years: 2011-266.6

                   1991= 216.3

50.3

2. Rate of growth = Absolute growth x 100

Previous level

15.9 x 100 =7.3% 11.7 x 100 =5% 11.7 x 100 = 4.8% 11.0 x 100 =4.3%

26.3                           232.2               243.9                 255.6                  

 

For the past 20 years: 50.3 x 100 =23.2%

3. Value of 1% = Absolute growth x 100

                           Rate of growth

15.9 = 2.2  11.7= 2.3    11.7= 2.4  11.0 = 2.6

7.3               5.0               4.8          4.3

For the past 20 years: 50.3 = 2.2

                                23.2

4. Rate of growth= Previous level x 100

                              Past level

232.2 x 100 = 107.3% 243.9 x 100 = 105% 255.6 x 100 = 104.8%

216.3                          232.2                     243.9

266.6 x 100 = 104.3%

255.6

For the past 20 years: 266.6 x 100 = 123.2%

                               216.3

Calculate the indices of dynamic row for the following variants:

Variant 1

Number of the urban population

.

1991 – 107.9

1996 – 123.7

2001 – 138.8

2006 – 155.1

2011 – 168.9

 

Variant 2

Number of the village population

 

1991 – 108.4

1996 – 108.5

2001 – 105.1

2006 – 100.5

2011 – 97.7

Variant 3

Number of the man’s population

 

1991 – 97.9

1996 – 106.3

2001 – 112.6

2006 – 118.7

2011 – 124.5

Variant 4

Number of the female population

 

1991 – 118.4

1996 – 125.9

2001 – 131.3

2006 – 136.9

 

Variant 5

Number of the doctors of all specialties

 

1990 – 554.2

1995 – 668.2

2005 – 834.1

2010 – 995.6

Variant 6

Number of the average medical personnel

 

1990 – 1692

1995 – 2123

2000 – 2515

2005 – 2790

Variant 7

Number of  hospital beds

 

1990 – 2226

1995 – 2663

2000 – 3009

2005 – 3324

Variant 8

Natural growth of the population

 

1990 – 17.8

1995 – 11.1

2000 – 9.2

2005 – 8.8

2010 – 8.0

2011 – 142.1

STANDARDIZATION

 

VARIANT 1

Table 42

Distribution of population according to age and number of the dead in town A and B.

Age in years	City A		City B
	Number of population	Number of the dead	Number of the population	Number of the dead
0-14years	3.000	30	1.000	10
15-49years	5.000	10	5.000	10
50 and above	2.000	60	4.000	120
Altogether	10.000	100	10.000	140

For standardization take half the sum of population by age in cities A and B.

VARIANT 2

 Table 43

Distribution of city and rural population according to age and number of the dead.

Age in years	City A		City B
	Number of population	Number of the dead	Number of the population	Number of the dead
0-14years	50.000	600	100.000	1.400
15-49years	100.000	400	400.000	1.600
50 and above	50.000	1.000	300.000	5.400
Altogether	200.000	2.000	800.000	8.400

 

For standardization take half the sum of city and rural population by ages/

VARIANT 3

Table 44

Distribution of persons suffering from traumas in industrial enterprises by sex in two periods of time.

Sex	1^st period		2^nd period
	Number of workers	Number of traumas	Number of workers	Number of traumas
Male	50.000	32	600	72
Female	400	28	200	16
Altogether	600	60	800	88

 

For standardization take half sum of structure in two periods of time

VARIANT 4

Table 45

Distribution of the examined patients with hypertension by sex in districts A and B

Sex	District A		District B
	Number of the examined	Number of patients	Number of the examined	Number of patients
Male	200	3	600	9
Female	800	48	400	24
Altogether	1.000	51	1.000	33

 

For standardization take sum of the examined population by age in districts A and B

VARIANT 5

Table 46

Distribution of patients and the dead from appendicitis in two hospitals depending on term of hospitalization.

Term of hospitalization(day)	Hospital No.1		Hospital No.2
	Number of the patient	Number of the dead	Number of patients	Number of the dead
1-3	400	1	100	-
3-4	150	3	200	2
5-6	50	6	300	10
Altogether	600	10	600	12

 

For standardization take sum of patients by term of hospitalization in hospital No. 1 and No.

VARIANT 6

 Table 47